diff --git a/.clang-tidy b/.clang-tidy
index 25fbff9f1a4d..b0f28e29b7c3 100644
--- a/.clang-tidy
+++ b/.clang-tidy
@@ -17,45 +17,33 @@
 
 # The checks defined here will be run and will display by default as warnings.
 Checks: >
-    -*, cppcoreguidelines-c-copy-assignment-signature,
-    cppcoreguidelines-interfaces-global-init, cppcoreguidelines-no-malloc,
-    cppcoreguidelines-pro-bounds-constant-array-index, cppcoreguidelines-pro-type-const-cast,
-    cppcoreguidelines-pro-type-cstyle-cast, cppcoreguidelines-pro-type-member-init,
-    cppcoreguidelines-pro-type-static-cast-downcast, cppcoreguidelines-pro-type-union-access,
-    cppcoreguidelines-pro-type-vararg, cppcoreguidelines-slicing,
-    cppcoreguidelines-special-member-functions, clang-analyzer-security.FloatLoopCounter,
-    clang-analyzer-security.insecureAPI.*, clang-analyzer-core.CallAndMessage,
-    clang-analyzer-core.DivideZero, clang-analyzer-core.DynamicTypePropagation,
-    clang-analyzer-core.NonNullParamChecker, clang-analyzer-core.NullDereference,
-    clang-analyzer-core.StackAddressEscape, clang-analyzer-core.UndefinedBinaryOperatorResult,
-    clang-analyzer-core.VLASize, clang-analyzer-core.builtin.BuiltinFunctions,
-    clang-analyzer-core.builtin.NoReturnFunctions, clang-analyzer-core.uninitialized.ArraySubscript,
-    clang-analyzer-core.uninitialized.Assign, clang-analyzer-core.uninitialized.Branch,
-    clang-analyzer-core.uninitialized.CapturedBlockVariable,
-    clang-analyzer-core.uninitialized.UndefReturn, clang-analyzer-cplusplus.NewDelete,
-    clang-analyzer-cplusplus.NewDeleteLeaks, clang-analyzer-cplusplus.SelfAssignment,
-    clang-analyzer-deadcode.DeadStores, modernize-avoid-bind, modernize-deprecated-headers,
-    modernize-loop-convert, modernize-make-shared, modernize-pass-by-value,
+    -*, cppcoreguidelines-* clang-analyzer-*, modernize-*,
+    performance-faster-string-find, performance-for-range-copy,
+    performance-implicit-conversion-in-loop, performance-inefficient-algorithm,
+    performance-inefficient-string-concatenation, performance-trivially-destructible,
+    performance-inefficient-vector-operation, performance-move-const-arg,
+    performance-move-constructor-init, performance-noexcept-move-constructor,
+    performance-no-automatic-move, performance-unnecessary-copy-initialization,
+    performance-type-promotion-in-math-fn
+
+# performance checks not enabled due to segmentation fault in clang-tidy v8+:
+# performance-unnecessary-value-param
+
+# In order to trigger an error, you must have a rule defined both in checks and in this section.
+WarningsAsErrors: >
+    cppcoreguidelines-no-malloc, modernize-deprecated-headers,
+    modernize-loop-convert, modernize-make-shared, modernize-pass-by-value, modernize-make-unique,
     modernize-raw-string-literal, modernize-redundant-void-arg, modernize-replace-auto-ptr,
     modernize-replace-random-shuffle, modernize-return-braced-init-list, modernize-shrink-to-fit,
     modernize-unary-static-assert, modernize-use-bool-literals, modernize-use-default-member-init,
     modernize-use-emplace, modernize-use-equals-default, modernize-use-equals-delete,
     modernize-use-noexcept, modernize-use-nullptr, modernize-use-override,
-    modernize-use-transparent-functors, modernize-use-using, performance-*
+    modernize-use-transparent-functors, modernize-use-using,
+    performance-unnecessary-copy-initialization, performance-move-const-arg
 
-# cppcoreguidelines checks not enabled:
-# cppcoreguidelines-pro-bounds-pointer-arithmetic
-# cppcoreguidelines-pro-bounds-array-to-pointer-decay
-# cppcoreguidelines-pro-type-reinterpret-cast
-
-# modernize checks not enabled:
+# modernize checks not enforced:
 # modernize-use-auto
-# modernize-make-unique (C++14 and newer only)
-
-# In order to trigger an error, you must have a rule defined both in checks and in this section.
-WarningsAsErrors: >
-    cppcoreguidelines-no-malloc, modernize-use-nullptr, performance-unnecessary-copy-initialization,
-    modernize-use-emplace, performance-move-const-arg
+# modernize-avoid-bind
 
 # Todo: define a better regex match that includes most project headers, but excludes third party
 # code.
diff --git a/.codecov.yml b/.codecov.yml
index 70037e6483ff..5253ec7b40f4 100644
--- a/.codecov.yml
+++ b/.codecov.yml
@@ -11,11 +11,6 @@ coverage:
   round: down
   range: "70...100"
 
-  status:
-    project: yes
-    patch: yes
-    changes: no
-
 parsers:
   gcov:
     branch_detection:
diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md
index 7a0115d36433..b34ee8b7b7e7 100644
--- a/.github/ISSUE_TEMPLATE/bug_report.md
+++ b/.github/ISSUE_TEMPLATE/bug_report.md
@@ -2,7 +2,7 @@
 name: Bug report
 about: Create a report to help us improve
 title: ''
-labels: 'Bug'
+labels: 'Bug, needs triage'
 assignees: ''
 
 ---
diff --git a/3rdparty/nvidia_cub b/3rdparty/nvidia_cub
index c3cceac115c0..0158fa19f286 160000
--- a/3rdparty/nvidia_cub
+++ b/3rdparty/nvidia_cub
@@ -1 +1 @@
-Subproject commit c3cceac115c072fb63df1836ff46d8c60d9eb304
+Subproject commit 0158fa19f28619886232defd412433974af89611
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 688dd42c54fe..e302ac7b865c 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -74,7 +74,6 @@ option(USE_JEMALLOC "Build with Jemalloc support" OFF)
 option(USE_LIBJPEG_TURBO "Use libjpeg-turbo" OFF)
 option(USE_DIST_KVSTORE "Build with DIST_KVSTORE support" OFF)
 option(USE_PLUGINS_WARPCTC "Use WARPCTC Plugins" OFF)
-option(USE_PLUGIN_CAFFE "Use Caffe Plugin" OFF)
 option(USE_CPP_PACKAGE "Build C++ Package" OFF)
 option(USE_MXNET_LIB_NAMING "Use MXNet library naming conventions." ON)
 option(USE_GPROF "Compile with gprof (profiling) flag" OFF)
@@ -148,6 +147,7 @@ if(CMAKE_BUILD_TYPE STREQUAL "Distribution" AND UNIX AND NOT APPLE)
   # Enforce DT_PATH instead of DT_RUNPATH
   set(CMAKE_SHARED_LINKER_FLAGS "-Wl,--disable-new-dtags")
   set(CMAKE_EXE_LINKER_FLAGS "-Wl,--disable-new-dtags")
+  set(Protobuf_USE_STATIC_LIBS ON)
 endif()
 
 set(CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake/upstream;${CMAKE_CURRENT_SOURCE_DIR}/cmake/Modules;${CMAKE_MODULE_PATH}")
@@ -276,6 +276,7 @@ if(USE_MKLDNN)
   include_directories(${PROJECT_BINARY_DIR}/3rdparty/mkldnn/include)
   add_definitions(-DMXNET_USE_MKLDNN=1)
   list(APPEND mxnet_LINKER_LIBS dnnl)
+  set_target_properties(dnnl PROPERTIES CXX_CLANG_TIDY "")  # don't lint 3rdparty dependency
 endif()
 
 # Allow Cuda compiles outside of src tree to find things in 'src' and 'include'
@@ -299,7 +300,6 @@ foreach(var ${C_CXX_INCLUDE_DIRECTORIES})
 endforeach()
 
 include_directories("include")
-include_directories("3rdparty/nvidia_cub")
 include_directories("3rdparty/tvm/nnvm/include")
 include_directories("3rdparty/tvm/include")
 include_directories("3rdparty/dmlc-core/include")
@@ -407,6 +407,7 @@ if(USE_OPENMP)
      AND NOT CMAKE_CROSSCOMPILING)
     load_omp()
     list(APPEND mxnet_LINKER_LIBS omp)
+    set_target_properties(omp PROPERTIES CXX_CLANG_TIDY "")  # don't lint 3rdparty dependency
     if(UNIX)
       list(APPEND mxnet_LINKER_LIBS pthread)
     endif()
@@ -464,6 +465,8 @@ set(GTEST_MAIN_LIBRARY gtest_main)
 set(GTEST_LIBRARY gtest)
 
 add_subdirectory(${GTEST_ROOT})
+set_target_properties(gtest PROPERTIES CXX_CLANG_TIDY "")  # don't lint 3rdparty dependency
+set_target_properties(gtest_main PROPERTIES CXX_CLANG_TIDY "")  # don't lint 3rdparty dependency
 find_package(GTest REQUIRED)
 
 # cudnn detection
@@ -480,6 +483,7 @@ endif()
 
 if(EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/3rdparty/dmlc-core/cmake)
   add_subdirectory("3rdparty/dmlc-core")
+  set_target_properties(dmlc PROPERTIES CXX_CLANG_TIDY "")  # don't lint 3rdparty dependency
 endif()
 
 FILE(GLOB_RECURSE SOURCE "src/*.cc" "src/*.h" "include/*.h")
@@ -494,7 +498,9 @@ FILE(GLOB_RECURSE NNVMSOURCE
   3rdparty/tvm/nnvm/src/core/*.h
   3rdparty/tvm/nnvm/src/pass/*.h
   3rdparty/tvm/nnvm/include/*.h)
-list(APPEND SOURCE ${NNVMSOURCE})
+add_library(nnvm OBJECT ${NNVMSOURCE})
+set_target_properties(nnvm PROPERTIES CXX_CLANG_TIDY "")  # don't lint 3rdparty dependency
+list(APPEND SOURCE $<TARGET_OBJECTS:nnvm>)
 
 # add source group
 FILE(GLOB_RECURSE GROUP_SOURCE "src/*.cc" "3rdparty/tvm/nnvm/*.cc" "plugin/*.cc")
@@ -521,39 +527,6 @@ if(USE_OPERATOR_TUNING AND USE_OPENMP)
   add_definitions(-DMXNET_USE_OPERATOR_TUNING=1)
 endif()
 
-if(USE_PLUGIN_CAFFE)
-  if(NOT USE_CUDA)
-    set(CPU_ONLY ON)
-    add_definitions(-DCPU_ONLY=1)
-  endif()
-  if(NOT DEFINED CAFFE_PATH)
-    if(EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/caffe)
-      set(CAFFE_PATH ${CMAKE_CURRENT_SOURCE_DIR}/caffe)
-    else()
-      set(CAFFE_PATH $ENV{CAFFE_PATH})
-    endif()
-  endif()
-  list(APPEND CMAKE_MODULE_PATH ${CAFFE_PATH}/cmake)
-  include_directories(${CAFFE_PATH}/include)
-  include_directories(${CAFFE_PATH}/build/src)
-  include_directories(${CMAKE_BINARY_DIR}/caffe/include)
-  link_directories(${CAFFE_PATH}/build/lib)
-  if(NOT DEFINED CAFFE_PATH)
-    message(FATAL_ERROR "Please set CAFFE_PATH to point to the caffe source installation")
-  endif()
-  FILE(GLOB_RECURSE PLUGINS_SOURCE "plugin/caffe/*.cc" "plugin/caffe/*.h")
-  FILE(GLOB_RECURSE PLUGINS_CUSRC "plugin/caffe/*.cu")
-  list(APPEND SOURCE ${PLUGINS_SOURCE})
-  list(APPEND CUDA ${PLUGINS_CUSRC})
-  include_directories(${CMAKE_BINARY_DIR}/include)
-  add_definitions(-DMXNET_USE_CAFFE=1)
-  list(APPEND mxnet_LINKER_LIBS
-    protobuf boost_system boost_thread boost_filesystem
-    gflags glog caffe
-    ${Caffe_LINKER_LIBS}
-)
-endif()
-
 if (NOT (EXTRA_OPERATORS STREQUAL ""))
     mxnet_source_group("Extra"   GLOB_RECURSE "${EXTRA_OPERATORS}/*.cc")
     mxnet_source_group("Extra\\Cuda"   GLOB_RECURSE "${EXTRA_OPERATORS}/*.cu")
@@ -640,14 +613,10 @@ if(USE_CUDA)
   link_directories(${CUDAToolkit_LIBRARY_DIR})
 endif()
 
-# unsupported: if caffe is a subdirectory of mxnet, load its CMakeLists.txt as well
-if(USE_PLUGIN_CAFFE)
-  if(EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/caffe)
-    add_subdirectory(caffe)
-  endif()
+if(CUDAToolkit_VERSION_MAJOR LESS "11")
+  include_directories("3rdparty/nvidia_cub")
 endif()
 
-
 if(MSVC)
   set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} /EHsc")
   set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /EHsc /Gy")
@@ -674,7 +643,6 @@ if(UNIX)
   endif()
   target_link_libraries(mxnet PUBLIC mshadow)
   target_link_libraries(mxnet PUBLIC ${CMAKE_DL_LIBS})
-  target_compile_definitions(mxnet PUBLIC DMLC_LOG_FATAL_THROW=$<BOOL:${LOG_FATAL_THROW}>)
   if(CMAKE_BUILD_TYPE STREQUAL "RelWithDebInfo")
     target_compile_options(mxnet PRIVATE "$<$<COMPILE_LANGUAGE:CXX>:-Werror>")
     # Ignore erroneous compiler warnings:
@@ -701,7 +669,6 @@ elseif(MSVC)
       foreach(arch ${arch_code_list})
         add_library(mxnet_${arch} SHARED ${SOURCE})
         target_link_libraries(mxnet_${arch} PUBLIC mshadow)
-        target_compile_definitions(mxnet_${arch} PUBLIC DMLC_LOG_FATAL_THROW=$<BOOL:${LOG_FATAL_THROW}>)
         target_compile_options(
           mxnet_${arch}
           PRIVATE
@@ -737,10 +704,10 @@ elseif(MSVC)
     endif(USE_SPLIT_ARCH_DLL)
   else()
     add_library(mxnet SHARED ${SOURCE})
-    target_compile_definitions(mxnet PUBLIC DMLC_LOG_FATAL_THROW=$<BOOL:${LOG_FATAL_THROW}>)
     target_link_libraries(mxnet PUBLIC mshadow)
   endif()
 endif()
+target_compile_definitions(mxnet PUBLIC DMLC_LOG_FATAL_THROW=$<BOOL:${LOG_FATAL_THROW}>)
 
 # extension libraries (custom operators, custom subgraphs) are built by default
 add_library(customop_lib SHARED ${CMAKE_CURRENT_SOURCE_DIR}/example/extensions/lib_custom_op/gemm_lib.cc)
@@ -782,6 +749,7 @@ if(USE_DIST_KVSTORE)
   add_subdirectory("3rdparty/ps-lite")
   add_definitions(-DMXNET_USE_DIST_KVSTORE)
   list(APPEND mxnet_LINKER_LIBS pslite)
+  set_target_properties(pslite PROPERTIES CXX_CLANG_TIDY "")  # don't lint 3rdparty dependency
 endif()
 
 if(USE_MKLDNN)
@@ -796,6 +764,9 @@ function(BuildTVMOP)
   # scope the variables in BuildTVM.cmake to avoid conflict
   include(cmake/BuildTVM.cmake)
   add_subdirectory("3rdparty/tvm")
+  set_target_properties(tvm PROPERTIES CXX_CLANG_TIDY "")  # don't lint 3rdparty dependency
+  set_target_properties(tvm_topi PROPERTIES CXX_CLANG_TIDY "")  # don't lint 3rdparty dependency
+  set_target_properties(tvm_runtime PROPERTIES CXX_CLANG_TIDY "")  # don't lint 3rdparty dependency
 endfunction()
 
 if(USE_TVM_OP)
diff --git a/CONTRIBUTORS.md b/CONTRIBUTORS.md
index f63b2412077b..4146d45b5c9d 100644
--- a/CONTRIBUTORS.md
+++ b/CONTRIBUTORS.md
@@ -254,6 +254,7 @@ List of Contributors
 * [Connor Goggins](https://github.com/connorgoggins)
 * [Wei Chu](https://github.com/waytrue17)
 * [Yang Shi](https://github.com/ys2843)
+* [Joe Evans](https://github.com/josephevans)
 
 Label Bot
 ---------
diff --git a/Makefile b/Makefile
deleted file mode 100644
index 0bf856f677bb..000000000000
--- a/Makefile
+++ /dev/null
@@ -1,768 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-ROOTDIR = $(CURDIR)
-TPARTYDIR = $(ROOTDIR)/3rdparty
-
-ifeq ($(OS),Windows_NT)
-	UNAME_S := Windows
-else
-	UNAME_S := $(shell uname -s)
-	UNAME_P := $(shell uname -p)
-endif
-
-ifndef config
-ifdef CXXNET_CONFIG
-	config = $(CXXNET_CONFIG)
-else ifneq ("$(wildcard ./config.mk)","")
-	config = config.mk
-else
-	config = make/config.mk
-endif
-endif
-
-ifndef DMLC_CORE
-	DMLC_CORE = $(TPARTYDIR)/dmlc-core
-endif
-CORE_INC = $(wildcard $(DMLC_CORE)/include/*/*.h)
-
-ifndef NNVM_PATH
-	NNVM_PATH = $(TPARTYDIR)/tvm/nnvm
-endif
-
-ifndef DLPACK_PATH
-	DLPACK_PATH = $(ROOTDIR)/3rdparty/dlpack
-endif
-
-ifndef TVM_PATH
-	TVM_PATH = $(TPARTYDIR)/tvm
-endif
-
-ifndef LLVM_PATH
-	LLVM_PATH = $(TVM_PATH)/build/llvm
-endif
-
-ifneq ($(USE_OPENMP), 1)
-	export NO_OPENMP = 1
-endif
-
-# use customized config file
-include $(config)
-
-ifndef USE_MKLDNN
-ifneq ($(UNAME_S), Darwin)
-ifneq ($(UNAME_S), Windows)
-ifeq ($(UNAME_P), x86_64)
-	USE_MKLDNN=1
-endif
-endif
-endif
-endif
-
-ifeq ($(USE_MKL2017), 1)
-$(warning "USE_MKL2017 is deprecated. We will switch to USE_MKLDNN.")
-	USE_MKLDNN=1
-endif
-
-ifeq ($(USE_MKLDNN), 1)
-	MKLDNNROOT = $(ROOTDIR)/3rdparty/mkldnn/build/install
-endif
-
-include $(TPARTYDIR)/mshadow/make/mshadow.mk
-include $(DMLC_CORE)/make/dmlc.mk
-
-# all tge possible warning tread
-WARNFLAGS= -Wall -Wsign-compare
-CFLAGS = -DMSHADOW_FORCE_STREAM $(WARNFLAGS)
-# C++ standard
-CFLAGS+= -DDMLC_USE_CXX11=1 -DDMLC_USE_CXX11=1 -DDMLC_USE_CXX14=1
-# use old thread local implementation in DMLC-CORE
-CFLAGS += -DDMLC_MODERN_THREAD_LOCAL=0
-# disable stack trace in exception by default.
-CFLAGS += -DDMLC_LOG_STACK_TRACE_SIZE=0
-CFLAGS += -DDMLC_LOG_FATAL_THROW=1
-
-ifeq ($(DEV), 1)
-  # Excluded from Werror:
-  # 1) variables used in '#pragma omp parallel' are considered unused
-	CFLAGS += -g -Werror -Wno-error=unused-variable -Wno-error=maybe-uninitialized -Wno-error=unused-function
-	NVCCFLAGS += -Werror cross-execution-space-call
-endif
-
-# CFLAGS for debug
-ifeq ($(DEBUG), 1)
-	CFLAGS += -g -O0 -D_GLIBCXX_ASSERTIONS
-else
-	CFLAGS += -O3 -DNDEBUG=1
-endif
-CFLAGS += -I$(TPARTYDIR)/mshadow/ -I$(TPARTYDIR)/dmlc-core/include -fPIC -I$(NNVM_PATH)/include -I$(DLPACK_PATH)/include -I$(TPARTYDIR)/tvm/include -Iinclude $(MSHADOW_CFLAGS)
-LDFLAGS = -pthread -ldl $(MSHADOW_LDFLAGS) $(DMLC_LDFLAGS)
-
-# please note that when you enable this, you might run into an linker not being able to work properly due to large code injection.
-# you can find more information here https://github.com/apache/incubator-mxnet/issues/15971
-ifeq ($(ENABLE_TESTCOVERAGE), 1)
-        CFLAGS += --coverage
-        LDFLAGS += --coverage
-endif
-
-ifeq ($(USE_NVTX), 1)
-        CFLAGS += -DMXNET_USE_NVTX=1
-        LDFLAGS += -lnvToolsExt
-endif
-
-ifeq ($(USE_TENSORRT), 1)
-	CFLAGS +=  -I$(ROOTDIR) -I$(TPARTYDIR) -DONNX_NAMESPACE=$(ONNX_NAMESPACE) -DMXNET_USE_TENSORRT=1
-	LDFLAGS += -lprotobuf -pthread -lonnx -lonnx_proto -lnvonnxparser -lnvonnxparser_runtime -lnvinfer -lnvinfer_plugin
-endif
-# -L/usr/local/lib
-
-ifeq ($(DEBUG), 1)
-	NVCCFLAGS += -std=c++14 -Xcompiler -D_FORCE_INLINES -g -G -O0 -ccbin $(CXX) $(MSHADOW_NVCCFLAGS)
-else
-	NVCCFLAGS += -std=c++14 -Xcompiler -D_FORCE_INLINES -O3 -ccbin $(CXX) $(MSHADOW_NVCCFLAGS)
-endif
-
-# CFLAGS for segfault logger
-ifeq ($(USE_SIGNAL_HANDLER), 1)
-	CFLAGS += -DMXNET_USE_SIGNAL_HANDLER=1
-endif
-
-# Caffe Plugin
-ifdef CAFFE_PATH
-	CFLAGS += -DMXNET_USE_CAFFE=1
-endif
-
-ifndef LINT_LANG
-	LINT_LANG = "all"
-endif
-
-ifeq ($(USE_MKLDNN), 1)
-	CFLAGS += -DMXNET_USE_MKLDNN=1
-	CFLAGS += -I$(ROOTDIR)/src/operator/nn/mkldnn/
-	CFLAGS += -I$(MKLDNNROOT)/include
-	LIB_DEP += $(MKLDNNROOT)/lib/libdnnl.a
-endif
-
-# setup opencv
-ifeq ($(USE_OPENCV), 1)
-	CFLAGS += -DMXNET_USE_OPENCV=1
-	ifneq ($(filter-out NONE, $(USE_OPENCV_INC_PATH)),)
-		CFLAGS += -I$(USE_OPENCV_INC_PATH)/include
-		ifeq ($(filter-out NONE, $(USE_OPENCV_LIB_PATH)),)
-$(error Please add the path of OpenCV shared library path into `USE_OPENCV_LIB_PATH`, when `USE_OPENCV_INC_PATH` is not NONE)
-		endif
-		LDFLAGS += -L$(USE_OPENCV_LIB_PATH)
-		ifneq ($(wildcard $(USE_OPENCV_LIB_PATH)/libopencv_imgcodecs.*),)
-			LDFLAGS += -lopencv_imgcodecs
-		endif
-		ifneq ($(wildcard $(USE_OPENCV_LIB_PATH)/libopencv_highgui.*),)
-			LDFLAGS += -lopencv_highgui
-		endif
-	else
-		ifeq ("$(shell pkg-config --exists opencv4; echo $$?)", "0")
-			OPENCV_LIB = opencv4
-		else
-			OPENCV_LIB = opencv
-		endif
-		CFLAGS += $(shell pkg-config --cflags $(OPENCV_LIB))
-		LDFLAGS += $(shell pkg-config --libs-only-L $(OPENCV_LIB))
-		LDFLAGS += $(filter -lopencv_imgcodecs -lopencv_highgui, $(shell pkg-config --libs-only-l $(OPENCV_LIB)))
-	endif
-	LDFLAGS += -lopencv_imgproc -lopencv_core
-	BIN += bin/im2rec
-else
-	CFLAGS += -DMXNET_USE_OPENCV=0
-endif
-
-ifeq ($(USE_OPENMP), 1)
-	CFLAGS += -fopenmp
-	CFLAGS += -DMXNET_USE_OPENMP=1
-endif
-
-ifeq ($(USE_NNPACK), 1)
-	CFLAGS += -DMXNET_USE_NNPACK=1
-	LDFLAGS += -lnnpack
-endif
-
-ifeq ($(USE_OPERATOR_TUNING), 1)
-	CFLAGS += -DMXNET_USE_OPERATOR_TUNING=1
-endif
-
-ifeq ($(USE_INT64_TENSOR_SIZE), 1)
-   CFLAGS += -DMSHADOW_INT64_TENSOR_SIZE=1
-else
-   CFLAGS += -DMSHADOW_INT64_TENSOR_SIZE=0
-endif
-# verify existence of separate lapack library when using blas/openblas/atlas
-# switch off lapack support in case it can't be found
-# issue covered with this
-#   -  for Ubuntu 14.04 or lower, lapack is not automatically installed with openblas
-#   -  for Ubuntu, installing atlas will not automatically install the atlas provided lapack library
-#   -  for rhel7.2, try installing the package `lapack-static` via yum will dismiss this warning.
-# silently switching lapack off instead of letting the build fail because of backward compatibility
-ifeq ($(USE_LAPACK), 1)
-ifeq ($(USE_BLAS),$(filter $(USE_BLAS),blas openblas atlas mkl))
-ifeq (,$(wildcard $(USE_LAPACK_PATH)/liblapack.a))
-ifeq (,$(wildcard $(USE_LAPACK_PATH)/liblapack.so))
-ifeq (,$(wildcard $(USE_LAPACK_PATH)/liblapack.dylib))
-ifeq (,$(wildcard /lib/liblapack.a))
-ifeq (,$(wildcard /lib/liblapack.so))
-ifeq (,$(wildcard /usr/lib/liblapack.a))
-ifeq (,$(wildcard /usr/lib/liblapack.so))
-ifeq (,$(wildcard /usr/lib/x86_64-linux-gnu/liblapack.a))
-ifeq (,$(wildcard /usr/lib/x86_64-linux-gnu/liblapack.so))
-ifeq (,$(wildcard /usr/lib/liblapack.dylib))
-ifeq (,$(wildcard /usr/lib64/liblapack.a))
-ifeq (,$(wildcard /usr/lib64/liblapack.so))
-	USE_LAPACK = 0
-        $(warning "USE_LAPACK disabled because libraries were not found")
-endif
-endif
-endif
-endif
-endif
-endif
-endif
-endif
-endif
-endif
-endif
-endif
-endif
-endif
-
-# lapack settings.
-ifeq ($(USE_LAPACK), 1)
-	ifneq ($(USE_LAPACK_PATH), )
-		LDFLAGS += -L$(USE_LAPACK_PATH)
-	endif
-	ifeq ($(USE_BLAS),$(filter $(USE_BLAS),blas openblas atlas mkl))
-		LDFLAGS += -llapack
-	endif
-	CFLAGS += -DMXNET_USE_LAPACK
-endif
-
-ifeq ($(USE_CUDNN), 1)
-	CFLAGS += -DMSHADOW_USE_CUDNN=1
-	LDFLAGS += -lcudnn
-endif
-
-ifeq ($(USE_BLAS), openblas)
-	CFLAGS += -DMXNET_USE_BLAS_OPEN=1
-else ifeq ($(USE_BLAS), atlas)
-	CFLAGS += -DMXNET_USE_BLAS_ATLAS=1
-else ifeq ($(USE_BLAS), mkl)
-	CFLAGS += -DMXNET_USE_BLAS_MKL=1
-else ifeq ($(USE_BLAS), apple)
-	CFLAGS += -DMXNET_USE_BLAS_APPLE=1
-endif
-
-# whether to use F16C instruction set extension for fast fp16 compute on CPU
-# if cross compiling you may want to explicitly turn it off if target system does not support it
-ifndef USE_F16C
-    ifneq ($(OS),Windows_NT)
-        detected_OS := $(shell uname -s)
-        ifeq ($(detected_OS),Darwin)
-            F16C_SUPP = $(shell sysctl -a | grep machdep.cpu.features | grep F16C)
-        endif
-        ifeq ($(detected_OS),Linux)
-            F16C_SUPP = $(shell cat /proc/cpuinfo | grep flags | grep f16c)
-        endif
-	ifneq ($(strip $(F16C_SUPP)),)
-                USE_F16C=1
-        else
-                USE_F16C=0
-        endif
-    endif
-    # if OS is Windows, check if your processor and compiler support F16C architecture.
-    # One way to check if processor supports it is to download the tool
-    # https://docs.microsoft.com/en-us/sysinternals/downloads/coreinfo.
-    # If coreinfo -c shows F16C and compiler supports it,
-    # then you can set USE_F16C=1 explicitly to leverage that capability"
-endif
-
-# gperftools malloc library (tcmalloc)
-ifeq ($(USE_GPERFTOOLS), 1)
-FIND_LIBFILEEXT=so
-ifeq ($(USE_GPERFTOOLS_STATIC), 1)
-FIND_LIBFILEEXT=a
-endif
-FIND_LIBFILE=$(wildcard $(USE_GPERFTOOLS_PATH)/libtcmalloc.$(FIND_LIBFILEEXT))
-ifeq (,$(FIND_LIBFILE))
-FIND_LIBFILE=$(wildcard /lib/libtcmalloc.$(FIND_LIBFILEEXT))
-ifeq (,$(FIND_LIBFILE))
-FIND_LIBFILE=$(wildcard /usr/lib/libtcmalloc.$(FIND_LIBFILEEXT))
-ifeq (,$(FIND_LIBFILE))
-FIND_LIBFILE=$(wildcard /usr/local/lib/libtcmalloc.$(FIND_LIBFILEEXT))
-ifeq (,$(FIND_LIBFILE))
-FIND_LIBFILE=$(wildcard /usr/lib64/libtcmalloc.$(FIND_LIBFILEEXT))
-ifeq (,$(FIND_LIBFILE))
-	USE_GPERFTOOLS=0
-endif
-endif
-endif
-endif
-endif
-ifeq ($(USE_GPERFTOOLS), 1)
-	CFLAGS += -fno-builtin-malloc -fno-builtin-calloc -fno-builtin-realloc -fno-builtin-free
-	LDFLAGS += $(FIND_LIBFILE)
-endif
-
-# jemalloc malloc library (if not using gperftools)
-else
-ifeq ($(USE_JEMALLOC), 1)
-FIND_LIBFILEEXT=so
-ifeq ($(USE_JEMALLOC_STATIC), 1)
-FIND_LIBFILEEXT=a
-endif
-FIND_LIBFILE=$(wildcard $(USE_JEMALLOC_PATH)/libjemalloc.$(FIND_LIBFILEEXT))
-ifeq (,$(FIND_LIBFILE))
-FIND_LIBFILE=$(wildcard /lib/libjemalloc.$(FIND_LIBFILEEXT))
-ifeq (,$(FIND_LIBFILE))
-FIND_LIBFILE=$(wildcard /usr/lib/libjemalloc.$(FIND_LIBFILEEXT))
-ifeq (,$(FIND_LIBFILE))
-FIND_LIBFILE=$(wildcard /usr/local/lib/libjemalloc.$(FIND_LIBFILEEXT))
-ifeq (,$(FIND_LIBFILE))
-FIND_LIBFILE=$(wildcard /usr/lib/x86_64-linux-gnu/libjemalloc.$(FIND_LIBFILEEXT))
-ifeq (,$(FIND_LIBFILE))
-FIND_LIBFILE=$(wildcard /usr/lib64/libjemalloc.$(FIND_LIBFILEEXT))
-ifeq (,$(FIND_LIBFILE))
-	USE_JEMALLOC=0
-endif
-endif
-endif
-endif
-endif
-endif
-ifeq ($(USE_JEMALLOC), 1)
-	CFLAGS += -fno-builtin-malloc -fno-builtin-calloc -fno-builtin-realloc \
-	-fno-builtin-free -DUSE_JEMALLOC
-	LDFLAGS += $(FIND_LIBFILE)
-endif
-endif
-endif
-
-# If not using tcmalloc or jemalloc, print a warning (user should consider installing)
-ifneq ($(USE_GPERFTOOLS), 1)
-ifneq ($(USE_JEMALLOC), 1)
-$(warning WARNING: Significant performance increases can be achieved by installing and \
-enabling gperftools or jemalloc development packages)
-endif
-endif
-
-ifeq ($(USE_THREADED_ENGINE), 1)
-	CFLAGS += -DMXNET_USE_THREADED_ENGINE
-endif
-
-ifneq ($(ADD_CFLAGS), NONE)
-	CFLAGS += $(ADD_CFLAGS)
-endif
-
-ifneq ($(ADD_LDFLAGS), NONE)
-	LDFLAGS += $(ADD_LDFLAGS)
-endif
-
-ifeq ($(NVCC), NONE)
-	# If NVCC has not been manually defined, use the CUDA_PATH bin dir.
-	ifneq ($(USE_CUDA_PATH), NONE)
-		NVCC=$(USE_CUDA_PATH)/bin/nvcc
-	endif
-endif
-
-# Guard against displaying nvcc info messages to users not using CUDA.
-ifeq ($(USE_CUDA), 1)
-	# Get AR version, compare with expected ar version and find bigger and smaller version of the two
-	AR_VERSION := $(shell ar --version | egrep -o "([0-9]{1,}\.)+[0-9]{1,}")
-	EXPECTED_AR_VERSION := $(shell echo "2.27")
-	LARGE_VERSION := $(shell printf '%s\n' "$(AR_VERSION)" "$(EXPECTED_AR_VERSION)" | sort -V | tail -n 1)
-	SMALL_VERSION := $(shell printf '%s\n' "$(AR_VERSION)" "$(EXPECTED_AR_VERSION)" | sort -V | head -n 1)
-
-	# If NVCC is not at the location specified, use CUDA_PATH instead.
-	ifeq ("$(wildcard $(NVCC))","")
-		ifneq ($(USE_CUDA_PATH), NONE)
-			NVCC=$(USE_CUDA_PATH)/bin/nvcc
-
-# if larger version is the expected one and larger != smaller
-# this means ar version is less than expected version and user needs to be warned
-ifeq ($(LARGE_VERSION), $(EXPECTED_AR_VERSION))
-ifneq ($(LARGE_VERSION), $(SMALL_VERSION))
-define n
-
-
-endef
-
-$(warning WARNING: Archive utility: ar version being used is less than 2.27.0. $n \
-		   Note that with USE_CUDA=1 flag and USE_CUDNN=1 this is known to cause problems. $n \
-		   For more info see: https://github.com/apache/incubator-mxnet/issues/15084)
-$(shell sleep 5)
-endif
-endif
-$(info INFO: nvcc was not found on your path)
-$(info INFO: Using $(NVCC) as nvcc path)
-		else
-$(warning WARNING: could not find nvcc compiler, the specified path was: $(NVCC))
-		endif
-	endif
-endif
-
-# Sets 'CUDA_ARCH', which determines the GPU architectures supported
-# by the compiled kernels.  Users can edit the KNOWN_CUDA_ARCHS list below
-# to remove archs they don't wish to support to speed compilation, or they can
-# pre-set the CUDA_ARCH args in config.mk to a non-null value for full control.
-#
-# For archs in this list, nvcc will create a fat-binary that will include
-# the binaries (SASS) for all architectures supported by the installed version
-# of the cuda toolkit, plus the assembly (PTX) for the most recent such architecture.
-# If these kernels are then run on a newer-architecture GPU, the binary will
-# be JIT-compiled by the updated driver from the included PTX.
-ifeq ($(USE_CUDA), 1)
-ifeq ($(CUDA_ARCH),)
-	KNOWN_CUDA_ARCHS := 30 35 50 52 60 61 70 75
-	# Run nvcc on a zero-length file to check architecture-level support.
-	# Create args to include SASS in the fat binary for supported levels.
-	CUDA_ARCH := $(foreach arch,$(KNOWN_CUDA_ARCHS), \
-				$(shell $(NVCC) -arch=sm_$(arch) -E --x cu /dev/null >/dev/null 2>&1 && \
-						echo -gencode arch=compute_$(arch),code=sm_$(arch)))
-	# Convert a trailing "code=sm_NN" to "code=[sm_NN,compute_NN]" to also
-	# include the PTX of the most recent arch in the fat-binaries for
-	# forward compatibility with newer GPUs.
-	CUDA_ARCH := $(shell echo $(CUDA_ARCH) | sed 's/sm_\([0-9]*\)$$/[sm_\1,compute_\1]/')
-	# Add fat binary compression if supported by nvcc.
-	COMPRESS := --fatbin-options -compress-all
-	CUDA_ARCH += $(shell $(NVCC) -cuda $(COMPRESS) --x cu /dev/null -o /dev/null >/dev/null 2>&1 && \
-						 echo $(COMPRESS))
-endif
-$(info Running CUDA_ARCH: $(CUDA_ARCH))
-endif
-
-# ps-lite
-PS_PATH=$(ROOTDIR)/3rdparty/ps-lite
-DEPS_PATH=$(shell pwd)/deps
-include $(PS_PATH)/make/ps.mk
-ifeq ($(USE_DIST_KVSTORE), 1)
-	CFLAGS += -DMXNET_USE_DIST_KVSTORE -I$(PS_PATH)/include -I$(DEPS_PATH)/include
-	LIB_DEP += $(PS_PATH)/build/libps.a
-	LDFLAGS += $(PS_LDFLAGS_A)
-endif
-
-.PHONY: clean all extra-packages test lint clean_all roxygen\
-	cython3 cython cyclean
-
-all: lib/libmxnet.a lib/libmxnet.so $(BIN) extra-packages extension_libs
-
-SRC = $(wildcard src/*/*/*/*/*.cc src/*/*/*/*.cc src/*/*/*.cc src/*/*.cc src/*.cc)
-OBJ = $(patsubst %.cc, build/%.o, $(SRC))
-CUSRC = $(wildcard src/*/*/*/*.cu src/*/*/*/*.cu src/*/*/*.cu src/*/*.cu src/*.cu)
-CUOBJ = $(patsubst %.cu, build/%_gpu.o, $(CUSRC))
-
-ifeq ($(USE_TVM_OP), 1)
-LIB_DEP += lib/libtvm_runtime.so lib/libtvmop.so
-CFLAGS += -I$(TVM_PATH)/include -DMXNET_USE_TVM_OP=1
-LDFLAGS += -L$(ROOTDIR)/lib -ltvm_runtime -Wl,-rpath,'$${ORIGIN}'
-
-TVM_USE_CUDA := OFF
-ifeq ($(USE_CUDA), 1)
-	TVM_USE_CUDA := ON
-	ifneq ($(USE_CUDA_PATH), NONE)
-		TVM_USE_CUDA := $(USE_CUDA_PATH)
-	endif
-endif
-endif
-
-# extra operators
-ifneq ($(EXTRA_OPERATORS),)
-	EXTRA_SRC = $(wildcard $(patsubst %, %/*.cc, $(EXTRA_OPERATORS)) $(patsubst %, %/*/*.cc, $(EXTRA_OPERATORS)))
-	EXTRA_OBJ = $(patsubst %.cc, %.o, $(EXTRA_SRC))
-	EXTRA_CUSRC = $(wildcard $(patsubst %, %/*.cu, $(EXTRA_OPERATORS)) $(patsubst %, %/*/*.cu, $(EXTRA_OPERATORS)))
-	EXTRA_CUOBJ = $(patsubst %.cu, %_gpu.o, $(EXTRA_CUSRC))
-else
-	EXTRA_SRC =
-	EXTRA_OBJ =
-	EXTRA_CUSRC =
-	EXTRA_CUOBJ =
-endif
-
-# plugin
-PLUGIN_OBJ =
-PLUGIN_CUOBJ =
-include $(MXNET_PLUGINS)
-
-ifneq ($(UNAME_S), Windows)
-	ifeq ($(UNAME_S), Darwin)
-		WHOLE_ARCH= -all_load
-		NO_WHOLE_ARCH= -noall_load
-	else
-		WHOLE_ARCH= --whole-archive
-		NO_WHOLE_ARCH= --no-whole-archive
-	endif
-endif
-
-# all dep
-LIB_DEP += $(DMLC_CORE)/libdmlc.a $(NNVM_PATH)/lib/libnnvm.a
-ALL_DEP = $(OBJ) $(EXTRA_OBJ) $(PLUGIN_OBJ) $(LIB_DEP)
-
-ifeq ($(USE_CUDA), 1)
-	CFLAGS += -I$(ROOTDIR)/3rdparty/nvidia_cub
-	ALL_DEP += $(CUOBJ) $(EXTRA_CUOBJ) $(PLUGIN_CUOBJ)
-	LDFLAGS += -lcufft
-	ifeq ($(ENABLE_CUDA_RTC), 1)
-		LDFLAGS += -lcuda -lnvrtc
-		CFLAGS += -DMXNET_ENABLE_CUDA_RTC=1
-	endif
-	# Make sure to add stubs as fallback in order to be able to build
-	# without full CUDA install (especially if run without nvidia-docker)
-	LDFLAGS += -L/usr/local/cuda/lib64/stubs
-	ifeq ($(USE_NVML), 1)
-		LDFLAGS += -lnvidia-ml
-		CFLAGS += -DMXNET_USE_NVML=1
-	else
-		CFLAGS += -DMXNET_USE_NVML=0
-	endif
-	ifeq ($(USE_NCCL), 1)
-		ifneq ($(USE_NCCL_PATH), NONE)
-			CFLAGS += -I$(USE_NCCL_PATH)/include
-			LDFLAGS += -L$(USE_NCCL_PATH)/lib
-		endif
-		ifdef USE_SYSTEM_CUDA
-		LDFLAGS += -lnccl_static
-		else
-		LDFLAGS += -lnccl
-		endif
-		CFLAGS += -DMXNET_USE_NCCL=1
-	else
-		CFLAGS += -DMXNET_USE_NCCL=0
-	endif
-else
-	CFLAGS += -DMXNET_USE_NVML=0
-	CFLAGS += -DMXNET_USE_NCCL=0
-endif
-
-ifeq ($(USE_LIBJPEG_TURBO), 1)
-	ifneq ($(USE_LIBJPEG_TURBO_PATH), NONE)
-		CFLAGS += -I$(USE_LIBJPEG_TURBO_PATH)/include
-		LDFLAGS += -L$(USE_LIBJPEG_TURBO_PATH)/lib
-	endif
-	LDFLAGS += -lturbojpeg
-	CFLAGS += -DMXNET_USE_LIBJPEG_TURBO=1
-else
-	CFLAGS += -DMXNET_USE_LIBJPEG_TURBO=0
-endif
-
-ifeq ($(CI), 1)
-	MAVEN_ARGS := -B
-endif
-
-# For quick compile test, used smaller subset
-ALLX_DEP= $(ALL_DEP)
-
-build/src/%.o: src/%.cc | mkldnn
-	@mkdir -p $(@D)
-	$(CXX) -std=c++17 -c $(CFLAGS) -MMD -c $< -o $@
-
-build/src/%_gpu.o: src/%.cu | mkldnn
-	@mkdir -p $(@D)
-	$(NVCC) $(NVCCFLAGS) $(CUDA_ARCH) -Xcompiler "$(CFLAGS)" --generate-dependencies -MT build/src/$*_gpu.o $< >build/src/$*_gpu.d
-	$(NVCC) -c -o $@ $(NVCCFLAGS) $(CUDA_ARCH) -Xcompiler "$(CFLAGS)" $<
-
-# A nvcc bug cause it to generate "generic/xxx.h" dependencies from torch headers.
-# Use CXX to generate dependency instead.
-build/plugin/%_gpu.o: plugin/%.cu
-	@mkdir -p $(@D)
-	$(CXX) -std=c++17 $(CFLAGS) -MM -MT build/plugin/$*_gpu.o $< >build/plugin/$*_gpu.d
-	$(NVCC) -c -o $@ $(NVCCFLAGS) $(CUDA_ARCH) -Xcompiler "$(CFLAGS)" $<
-
-build/plugin/%.o: plugin/%.cc | mkldnn
-	@mkdir -p $(@D)
-	$(CXX) -std=c++17 -c $(CFLAGS) -MMD -c $< -o $@
-
-%_gpu.o: %.cu
-	@mkdir -p $(@D)
-	$(NVCC) $(NVCCFLAGS) $(CUDA_ARCH) -Xcompiler "$(CFLAGS) -Isrc/operator" --generate-dependencies -MT $*_gpu.o $< >$*_gpu.d
-	$(NVCC) -c -o $@ $(NVCCFLAGS) $(CUDA_ARCH) -Xcompiler "$(CFLAGS) -Isrc/operator" $<
-
-%.o: %.cc $(CORE_INC)
-	@mkdir -p $(@D)
-	$(CXX) -std=c++17 -c $(CFLAGS) -MMD -Isrc/operator -c $< -o $@
-
-# Set install path for libmxnet.so on Mac OS
-ifeq ($(UNAME_S), Darwin)
-        LDFLAGS += -Wl,-install_name,@rpath/libmxnet.so
-endif
-
-# NOTE: to statically link libmxnet.a we need the option
-# --Wl,--whole-archive -lmxnet --Wl,--no-whole-archive
-lib/libmxnet.a: $(ALLX_DEP)
-	@mkdir -p $(@D)
-	ar crv $@ $(filter %.o, $?)
-
-lib/libmxnet.so: $(ALLX_DEP)
-	@mkdir -p $(@D)
-	$(CXX) $(CFLAGS) -shared -o $@ $(filter-out %libnnvm.a, $(filter %.o %.a, $^)) $(LDFLAGS) \
-	-Wl,${WHOLE_ARCH} $(filter %libnnvm.a, $^) -Wl,${NO_WHOLE_ARCH}
-
-$(PS_PATH)/build/libps.a: PSLITE
-
-PSLITE:
-	$(MAKE) CXX="$(CXX)" DEPS_PATH="$(DEPS_PATH)" -C $(PS_PATH) ps
-
-$(DMLC_CORE)/libdmlc.a: DMLCCORE
-
-DMLCCORE:
-	+ cd $(DMLC_CORE); $(MAKE) libdmlc.a USE_SSE=$(USE_SSE) config=$(ROOTDIR)/$(config); cd $(ROOTDIR)
-
-lib/libtvm_runtime.so:
-	echo "Compile TVM"
-	@mkdir -p $(@D)
-	[ -e $(LLVM_PATH)/bin/llvm-config ] || sh $(ROOTDIR)/contrib/tvmop/prepare_tvm.sh; \
-	cd $(TVM_PATH)/build; \
-	cmake -DUSE_LLVM="$(LLVM_PATH)/bin/llvm-config" \
-		  -DUSE_SORT=OFF -DUSE_CUDA=$(TVM_USE_CUDA) -DUSE_CUDNN=OFF -DUSE_OPENMP=ON ..; \
-	$(MAKE) VERBOSE=1; \
-	mkdir -p $(ROOTDIR)/lib; \
-	cp $(TVM_PATH)/build/libtvm_runtime.so $(ROOTDIR)/lib/libtvm_runtime.so; \
-	ls $(ROOTDIR)/lib; \
-	cd $(ROOTDIR)
-
-TVM_OP_COMPILE_OPTIONS = -o $(ROOTDIR)/lib --config $(ROOTDIR)/lib/tvmop.conf
-ifneq ($(CUDA_ARCH),)
-	TVM_OP_COMPILE_OPTIONS += --cuda-arch "$(CUDA_ARCH)"
-endif
-lib/libtvmop.so: lib/libtvm_runtime.so $(wildcard contrib/tvmop/*/*.py contrib/tvmop/*.py)
-	echo "Compile TVM operators"
-	@mkdir -p $(@D)
-	PYTHONPATH=$(TVM_PATH)/python:$(TVM_PATH)/topi/python:$(ROOTDIR)/contrib \
-		LD_LIBRARY_PATH=$(ROOTDIR)/lib \
-	    python3 $(ROOTDIR)/contrib/tvmop/compile.py $(TVM_OP_COMPILE_OPTIONS)
-
-NNVM_INC = $(wildcard $(NNVM_PATH)/include/*/*.h)
-NNVM_SRC = $(wildcard $(NNVM_PATH)/src/*/*/*.cc $(NNVM_PATH)/src/*/*.cc $(NNVM_PATH)/src/*.cc)
-$(NNVM_PATH)/lib/libnnvm.a: $(NNVM_INC) $(NNVM_SRC)
-	+ cd $(NNVM_PATH); $(MAKE) lib/libnnvm.a DMLC_CORE_PATH=$(DMLC_CORE); cd $(ROOTDIR)
-
-bin/im2rec: tools/im2rec.cc $(ALLX_DEP)
-
-$(BIN) :
-	@mkdir -p $(@D)
-	$(CXX) $(CFLAGS) -std=c++17  -o $@ $(filter %.cpp %.o %.c %.a %.cc, $^) $(LDFLAGS)
-
-include mkldnn.mk
-include tests/cpp/unittest.mk
-
-extra-packages: $(EXTRA_PACKAGES)
-
-test: $(TEST)
-
-lint: cpplint pylint
-
-cpplint:
-	3rdparty/dmlc-core/scripts/lint.py mxnet cpp include src plugin tests \
-	--exclude_path src/operator/contrib/ctc_include include/mkldnn
-
-pylint:
-	python3 -m pylint --rcfile=$(ROOTDIR)/ci/other/pylintrc --ignore-patterns=".*\.so$$,.*\.dll$$,.*\.dylib$$" python/mxnet
-
-# MXNet extension dynamically loading libraries
-EXT_LIBS = build/libcustomop_lib.so build/libtransposecsr_lib.so build/libtransposerowsp_lib.so build/libsubgraph_lib.so build/libpass_lib.so
-ifeq ($(USE_CUDA), 1)
-        EXT_LIBS += build/libcustomop_gpu_lib.so
-endif
-extension_libs: $(EXT_LIBS)
-
-build/libcustomop_lib.so:
-	@mkdir -p $(@D)
-	$(CXX) -shared -fPIC -std=c++11 example/extensions/lib_custom_op/gemm_lib.cc -o /dev/null -I include/mxnet
-	$(CXX) -shared -fPIC -std=c++17 example/extensions/lib_custom_op/gemm_lib.cc -o $@ -I include/mxnet
-build/libtransposecsr_lib.so:
-	@mkdir -p $(@D)
-	$(CXX) -shared -fPIC -std=c++11 example/extensions/lib_custom_op/transposecsr_lib.cc -o /dev/null -I include/mxnet
-	$(CXX) -shared -fPIC -std=c++17 example/extensions/lib_custom_op/transposecsr_lib.cc -o $@ -I include/mxnet
-build/libtransposerowsp_lib.so:
-	@mkdir -p $(@D)
-	$(CXX) -shared -fPIC -std=c++11 example/extensions/lib_custom_op/transposerowsp_lib.cc -o /dev/null -I include/mxnet
-	$(CXX) -shared -fPIC -std=c++17 example/extensions/lib_custom_op/transposerowsp_lib.cc -o $@ -I include/mxnet
-build/libcustomop_gpu_lib.so:
-	@mkdir -p $(@D)
-	$(NVCC) -shared -std=c++11 -Xcompiler -fPIC example/extensions/lib_custom_op/relu_lib.cu -o /dev/null -I include/mxnet
-	$(NVCC) -shared -std=c++14 -Xcompiler -fPIC example/extensions/lib_custom_op/relu_lib.cu -o $@ -I include/mxnet
-build/libsubgraph_lib.so:
-	@mkdir -p $(@D)
-	$(CXX) -shared -fPIC -std=c++11 example/extensions/lib_subgraph/subgraph_lib.cc -o /dev/null -I include/mxnet
-	$(CXX) -shared -fPIC -std=c++17 example/extensions/lib_subgraph/subgraph_lib.cc -o $@ -I include/mxnet
-build/libpass_lib.so:
-	@mkdir -p $(@D)
-	$(CXX) -shared -fPIC -std=c++11 example/extensions/lib_pass/pass_lib.cc -o /dev/null -I include/mxnet
-	$(CXX) -shared -fPIC -std=c++17 example/extensions/lib_pass/pass_lib.cc -o $@ -I include/mxnet
-
-# Cython build
-cython:
-	cd python; $(PYTHON) setup.py build_ext --inplace --with-cython
-
-cython3:
-	cd python; python3 setup.py build_ext --inplace --with-cython
-
-cyclean:
-	rm -rf python/mxnet/*/*.so python/mxnet/*/*.cpp
-
-build/rat/apache-rat-0.13/apache-rat-0.13.jar:
-	mkdir -p build/rat
-	cd build/rat; \
-	wget http://mirror.metrocast.net/apache//creadur/apache-rat-0.13/apache-rat-0.13-bin.zip; \
-	unzip apache-rat-0.13-bin.zip;
-
-ratcheck: build/rat/apache-rat-0.13/apache-rat-0.13.jar
-	exec 5>&1; \
-	RAT_JAR=build/rat/apache-rat-0.13/apache-rat-0.13.jar; \
-	OUTPUT=$(java -jar $(RAT_JAR) -E tests/nightly/apache_rat_license_check/rat-excludes -d .|tee >(cat - >&5)); \
-    ERROR_MESSAGE="Printing headers for text files without a valid license header"; \
-    echo "-------Process The Output-------"; \
-    if [[ $OUTPUT =~ $ERROR_MESSAGE ]]; then \
-        echo "ERROR: RAT Check detected files with unknown licenses. Please fix and run test again!"; \
-        exit 1; \
-    else \
-        echo "SUCCESS: There are no files with an Unknown License."; \
-    fi
-
-
-ifneq ($(EXTRA_OPERATORS),)
-clean: cyclean $(EXTRA_PACKAGES_CLEAN)
-	$(RM) -r build lib bin deps *~ */*~ */*/*~ */*/*/*~
-	(cd scala-package && mvn clean) || true
-	cd $(DMLC_CORE); $(MAKE) clean; cd -
-	cd $(PS_PATH); $(MAKE) clean; cd -
-	cd $(NNVM_PATH); $(MAKE) clean; cd -
-	cd $(TVM_PATH); $(MAKE) clean; cd -
-	$(RM) -r  $(patsubst %, %/*.d, $(EXTRA_OPERATORS)) $(patsubst %, %/*/*.d, $(EXTRA_OPERATORS))
-	$(RM) -r  $(patsubst %, %/*.o, $(EXTRA_OPERATORS)) $(patsubst %, %/*/*.o, $(EXTRA_OPERATORS))
-else
-clean: mkldnn_clean cyclean testclean $(EXTRA_PACKAGES_CLEAN)
-	$(RM) -r build lib bin *~ */*~ */*/*~ */*/*/*~
-	(cd scala-package && mvn clean) || true
-	cd $(DMLC_CORE); $(MAKE) clean; cd -
-	cd $(PS_PATH); $(MAKE) clean; cd -
-	cd $(NNVM_PATH); $(MAKE) clean; cd -
-	cd $(TVM_PATH); $(MAKE) clean; cd -
-endif
-
-clean_all: clean
-
--include build/*.d
--include build/*/*.d
--include build/*/*/*.d
--include build/*/*/*/*.d
-ifneq ($(EXTRA_OPERATORS),)
-	-include $(patsubst %, %/*.d, $(EXTRA_OPERATORS)) $(patsubst %, %/*/*.d, $(EXTRA_OPERATORS))
-endif
diff --git a/README.md b/README.md
index 9f1d59e7acd4..60bfe5a57b9c 100644
--- a/README.md
+++ b/README.md
@@ -40,7 +40,7 @@ deep learning systems, and interesting insights of DL systems for hackers.
 
 Ask Questions
 -------------
-* Please use [discuss.mxnet.io](https://discuss.mxnet.io/) for asking questions.
+* Please use [discuss.d2l.ai](https://discuss.d2l.ai/c/d2l-en/mxnet/) or [old version:discuss.mxnet.io](https://discuss.mxnet.io/) for asking questions. 
 * Please use [mxnet/issues](https://github.com/apache/incubator-mxnet/issues) for reporting bugs.
 * [Frequent Asked Questions](https://mxnet.apache.org/faq/faq.html)
 
@@ -80,6 +80,7 @@ What's New
 
 Contents
 --------
+* [Book](https://d2l.ai)
 * [Website](https://mxnet.apache.org)
 * [Documentation](https://mxnet.apache.org/api)
 * [Blog](https://mxnet.apache.org/blog)
diff --git a/ci/Jenkinsfile_docker_cache b/ci/Jenkinsfile_docker_cache
index 96cf2c7bef86..5f378b5d69eb 100644
--- a/ci/Jenkinsfile_docker_cache
+++ b/ci/Jenkinsfile_docker_cache
@@ -37,7 +37,6 @@ core_logic: {
       ws('workspace/docker_cache') {
         timeout(time: total_timeout, unit: 'MINUTES') {
           utils.init_git()
-          sh "python3 ./ci/docker_cache.py --docker-registry ${env.DOCKER_CACHE_REGISTRY}"
           sh "cd ci && python3 ./docker_login.py --secret-name ${env.DOCKERHUB_SECRET_NAME} && docker-compose -f docker/docker-compose.yml pull && docker-compose -f docker/docker-compose.yml build --parallel && COMPOSE_HTTP_TIMEOUT=600 docker-compose -f docker/docker-compose.yml push && docker logout"
         }
       }
diff --git a/ci/build.py b/ci/build.py
index 33f46e5c6b87..f42be1861b19 100755
--- a/ci/build.py
+++ b/ci/build.py
@@ -18,23 +18,18 @@
 # specific language governing permissions and limitations
 # under the License.
 
-"""Multi arch dockerized build tool.
+"""Multi arch dockerized build tool."""
 
-"""
-
-__author__ = 'Marco de Abreu, Kellen Sunderland, Anton Chernov, Pedro Larroy'
-__version__ = '0.3'
+__author__ = 'Marco de Abreu, Kellen Sunderland, Anton Chernov, Pedro Larroy, Leonard Lausen'
+__version__ = '0.4'
 
 import argparse
-import glob
 import pprint
-import re
 import os
-import shutil
 import signal
 import subprocess
 from itertools import chain
-from subprocess import check_call, check_output
+from subprocess import check_call
 from typing import *
 
 import yaml
@@ -42,49 +37,18 @@
 from safe_docker_run import SafeDockerClient
 from util import *
 
-# NOTE: Temporary whitelist used until all Dockerfiles are refactored for docker compose
-DOCKER_COMPOSE_WHITELIST = ('centos7_cpu', 'centos7_gpu_cu92', 'centos7_gpu_cu100',
-                            'centos7_gpu_cu101', 'centos7_gpu_cu102', 'ubuntu_cpu',
-                            'ubuntu_build_cuda', 'ubuntu_gpu_cu101', 'publish.test.centos7_cpu',
-                            'publish.test.centos7_gpu', 'android_armv7', 'android_armv8',
-                            'armv6', 'armv7', 'armv8', 'test.armv7', 'test.armv8')
-# Files for docker compose
-DOCKER_COMPOSE_FILES = set(('docker/build.centos7', 'docker/build.ubuntu', 'docker/build.android',
-                            'docker/build.arm', 'docker/test.arm', 'docker/publish.test.centos7'))
-
-
-def get_dockerfiles_path():
-    return "docker"
-
-
-def get_platforms(path: str = get_dockerfiles_path(), legacy_only=False) -> List[str]:
-    """Get a list of architectures given our dockerfiles"""
-    dockerfiles = glob.glob(os.path.join(path, "Dockerfile.*"))
-    dockerfiles = set(filter(lambda x: x[-1] != '~', dockerfiles))
-    files = set(map(lambda x: re.sub(r"Dockerfile.(.*)", r"\1", x), dockerfiles))
-    if legacy_only:
-        files = files - DOCKER_COMPOSE_FILES
-    platforms = list(map(lambda x: os.path.split(x)[1], sorted(files)))
-    return platforms
 
+def get_platforms() -> List[str]:
+    """Get a list of architectures declared in docker-compose.yml"""
+    with open("docker/docker-compose.yml", "r") as f:
+        compose_config = yaml.load(f.read(), yaml.SafeLoader)
+    return list(compose_config["services"].keys())
 
 def get_docker_tag(platform: str, registry: str) -> str:
     """:return: docker tag to be used for the container"""
-    if platform in DOCKER_COMPOSE_WHITELIST:
-        with open("docker/docker-compose.yml", "r") as f:
-            compose_config = yaml.load(f.read(), yaml.SafeLoader)
-            return compose_config["services"][platform]["image"].replace('${DOCKER_CACHE_REGISTRY}', registry)
-
-    platform = platform if any(x in platform for x in ['build.', 'publish.']) else 'build.{}'.format(platform)
-    if not registry:
-        registry = "mxnet_local"
-    return "{0}/{1}".format(registry, platform)
-
-
-def get_dockerfile(platform: str, path=get_dockerfiles_path()) -> str:
-    platform = platform if any(x in platform for x in ['build.', 'publish.']) else 'build.{}'.format(platform)
-    return os.path.join(path, "Dockerfile.{0}".format(platform))
-
+    with open("docker/docker-compose.yml", "r") as f:
+        compose_config = yaml.load(f.read(), yaml.SafeLoader)
+        return compose_config["services"][platform]["image"].replace('${DOCKER_CACHE_REGISTRY}', registry)
 
 def build_docker(platform: str, registry: str, num_retries: int, no_cache: bool,
                  cache_intermediate: bool = False) -> str:
@@ -96,50 +60,18 @@ def build_docker(platform: str, registry: str, num_retries: int, no_cache: bool,
     :param no_cache: pass no-cache to docker to rebuild the images
     :return: Id of the top level image
     """
-    tag = get_docker_tag(platform=platform, registry=registry)
+    logging.info('Building docker container \'%s\' based on ci/docker/docker-compose.yml', platform)
+    # We add a user with the same group as the executing non-root user so files created in the
+    # container match permissions of the local user. Same for the group.
+    cmd = ['docker-compose', '-f', 'docker/docker-compose.yml', 'build',
+           "--build-arg", "USER_ID={}".format(os.getuid()),
+           "--build-arg", "GROUP_ID={}".format(os.getgid())]
+    if cache_intermediate:
+        cmd.append('--no-rm')
+    cmd.append(platform)
 
     env = os.environ.copy()
-
-    # Case 1: docker-compose
-    if platform in DOCKER_COMPOSE_WHITELIST:
-        logging.info('Building docker container tagged \'%s\' based on ci/docker/docker-compose.yml', tag)
-        # We add a user with the same group as the executing non-root user so files created in the
-        # container match permissions of the local user. Same for the group.
-        cmd = ['docker-compose', '-f', 'docker/docker-compose.yml', 'build',
-               "--build-arg", "USER_ID={}".format(os.getuid()),
-               "--build-arg", "GROUP_ID={}".format(os.getgid())]
-        if cache_intermediate:
-            cmd.append('--no-rm')
-        cmd.append(platform)
-        env["DOCKER_CACHE_REGISTRY"] = registry
-    else:  # Case 2: Deprecated way, will be removed
-        # We add a user with the same group as the executing non-root user so files created in the
-        # container match permissions of the local user. Same for the group.
-        #
-        # These variables are used in the docker files to create user and group with these ids.
-        # see: docker/install/ubuntu_adduser.sh
-        #
-        # cache-from is needed so we use the cached images tagged from the remote via
-        # docker pull see: docker_cache.load_docker_cache
-        #
-        # This also prevents using local layers for caching: https://github.com/moby/moby/issues/33002
-        # So to use local caching, we should omit the cache-from by using --no-dockerhub-cache argument to this
-        # script.
-        #
-        # This doesn't work with multi head docker files.
-        logging.info("Building docker container tagged '%s'", tag)
-        cmd = ["docker", "build",
-               "-f", get_dockerfile(platform),
-               "--build-arg", "USER_ID={}".format(os.getuid()),
-               "--build-arg", "GROUP_ID={}".format(os.getgid())]
-        if no_cache:
-            cmd.append("--no-cache")
-        if cache_intermediate:
-            cmd.append("--rm=false")
-        elif registry:
-            cmd.extend(["--cache-from", tag])
-        cmd.extend(["-t", tag, get_dockerfiles_path()])
-
+    env["DOCKER_CACHE_REGISTRY"] = registry
 
     @retry(subprocess.CalledProcessError, tries=num_retries)
     def run_cmd(env=None):
@@ -148,27 +80,6 @@ def run_cmd(env=None):
 
     run_cmd(env=env)
 
-    # Get image id by reading the tag. It's guaranteed (except race condition) that the tag exists. Otherwise, the
-    # check_call would have failed
-    image_id = _get_local_image_id(docker_tag=tag)
-    if not image_id:
-        raise FileNotFoundError('Unable to find docker image id matching with {}'.format(tag))
-    return image_id
-
-
-def _get_local_image_id(docker_tag):
-    """
-    Get the image id of the local docker layer with the passed tag
-    :param docker_tag: docker tag
-    :return: Image id as string or None if tag does not exist
-    """
-    cmd = ["docker", "images", "-q", docker_tag]
-    image_id_b = check_output(cmd)
-    image_id = image_id_b.decode('utf-8').strip()
-    if not image_id:
-        raise RuntimeError('Unable to find docker image id matching with tag {}'.format(docker_tag))
-    return image_id
-
 
 def buildir() -> str:
     return os.path.join(get_mxnet_root(), "build")
@@ -288,16 +199,14 @@ def list_platforms() -> str:
     return "\nSupported platforms:\n{}".format('\n'.join(get_platforms()))
 
 
-def load_docker_cache(tag, docker_registry) -> None:
+def load_docker_cache(platform, tag, docker_registry) -> None:
     """Imports tagged container from the given docker registry"""
     if docker_registry:
-        # noinspection PyBroadException
-        try:
-            import docker_cache
-            logging.info('Docker cache download is enabled from registry %s', docker_registry)
-            docker_cache.load_docker_cache(registry=docker_registry, docker_tag=tag)
-        except Exception:
-            logging.exception('Unable to retrieve Docker cache. Continue without...')
+        env = os.environ.copy()
+        env["DOCKER_CACHE_REGISTRY"] = docker_registry
+        cmd = ['docker-compose', '-f', 'docker/docker-compose.yml', 'pull', platform]
+        logging.info("Running command: 'DOCKER_CACHE_REGISTRY=%s %s'", docker_registry, ' '.join(cmd))
+        check_call(cmd, env=env)
     else:
         logging.info('Distributed docker cache disabled')
 
@@ -319,9 +228,9 @@ def main() -> int:
 
     parser = argparse.ArgumentParser(description="""Utility for building and testing MXNet on docker
     containers""", epilog="")
-    parser.add_argument("-p", "--platform",
-                        help="platform",
-                        type=str)
+    parser.add_argument("-p", "--platform", type=str, help= \
+                        "Platform. See ci/docker/docker-compose.yml for list of supported " \
+                        "platforms (services).")
 
     parser.add_argument("-b", "--build-only",
                         help="Only build the container, don't build the project",
@@ -331,10 +240,6 @@ def main() -> int:
                         help="Only run the container, don't rebuild the container",
                         action='store_true')
 
-    parser.add_argument("-a", "--all",
-                        help="build for all platforms",
-                        action='store_true')
-
     parser.add_argument("-n", "--nvidiadocker",
                         help="Use nvidia docker",
                         action='store_true')
@@ -398,7 +303,7 @@ def main() -> int:
         platform = args.platform
         tag = get_docker_tag(platform=platform, registry=args.docker_registry)
         if args.docker_registry and not args.no_pull:
-            load_docker_cache(tag=tag, docker_registry=args.docker_registry)
+            load_docker_cache(platform=platform, tag=tag, docker_registry=args.docker_registry)
         if not args.run_only:
             build_docker(platform=platform, registry=args.docker_registry, num_retries=args.docker_build_retries,
                          no_cache=args.no_cache, cache_intermediate=args.cache_intermediate)
@@ -435,32 +340,6 @@ def main() -> int:
             logging.critical("Execution of %s failed with status: %d", command, ret)
             return ret
 
-    elif args.all:
-        platforms = get_platforms()
-        platforms = [platform for platform in platforms if 'build.' in platform]
-        logging.info("Building for all architectures: %s", platforms)
-        logging.info("Artifacts will be produced in the build/ directory.")
-        for platform in platforms:
-            tag = get_docker_tag(platform=platform, registry=args.docker_registry)
-            load_docker_cache(tag=tag, docker_registry=args.docker_registry)
-            build_docker(platform, registry=args.docker_registry, num_retries=args.docker_build_retries,
-                         no_cache=args.no_cache)
-            if args.build_only:
-                continue
-            shutil.rmtree(buildir(), ignore_errors=True)
-            build_platform = "build_{}".format(platform)
-            plat_buildir = os.path.abspath(os.path.join(get_mxnet_root(), '..',
-                                                        "mxnet_{}".format(build_platform)))
-            if os.path.exists(plat_buildir):
-                logging.warning("%s already exists, skipping", plat_buildir)
-                continue
-            command = ["/work/mxnet/ci/docker/runtime_functions.sh", build_platform]
-            container_run(
-                docker_client=docker_client, platform=platform, nvidia_runtime=args.nvidiadocker,
-                shared_memory_size=args.shared_memory_size, command=command, docker_registry=args.docker_registry,
-                local_ccache_dir=args.ccache_dir, environment=environment)
-            shutil.move(buildir(), plat_buildir)
-            logging.info("Built files left in: %s", plat_buildir)
 
     else:
         parser.print_help()
diff --git a/ci/dev_menu.py b/ci/dev_menu.py
index c471302c76d7..dcc01723d83d 100644
--- a/ci/dev_menu.py
+++ b/ci/dev_menu.py
@@ -122,7 +122,7 @@ def provision_virtualenv(venv_path=DEFAULT_PYENV):
         "pytest -v tests/python/unittest/"
     ),
     ('[Docker] Build the MXNet binary - outputs to "lib/"',
-        "ci/build.py --platform ubuntu_cpu_lite /work/runtime_functions.sh build_ubuntu_cpu_docs"),
+        "ci/build.py --platform ubuntu_cpu /work/runtime_functions.sh build_ubuntu_cpu_docs"),
     ('[Docker] Build the Jekyll website - outputs to "docs/static_site/build/html/"',
         "ci/build.py --platform ubuntu_cpu_jekyll /work/runtime_functions.sh build_jekyll_docs"),
     ('[Docker] Build the Python API docs - outputs to "docs/python_docs/python/build/_build/html/"',
@@ -130,7 +130,6 @@ def provision_virtualenv(venv_path=DEFAULT_PYENV):
     ('[Docker] sanity_check. Check for linting and code formatting and licenses.',
     [
         "ci/build.py --platform ubuntu_cpu /work/runtime_functions.sh sanity_check",
-        "ci/build.py --platform ubuntu_rat /work/runtime_functions.sh nightly_test_rat_check",
     ]),
     ('[Docker] Python3 CPU unittests',
     [
diff --git a/ci/docker/Dockerfile.build.centos7 b/ci/docker/Dockerfile.build.centos7
index a0b5b127e7ea..8a718c4d1339 100644
--- a/ci/docker/Dockerfile.build.centos7
+++ b/ci/docker/Dockerfile.build.centos7
@@ -119,22 +119,14 @@ RUN export SHORT_CUDA_VERSION=${CUDA_VERSION%.*} && \
         yum clean all; \
     fi
 
-# Python dependencies
-RUN pip3 install --no-cache-dir --upgrade pip && \
-    pip3 install --no-cache-dir pylint cython numpy requests h5py scipy==1.2.3 wheel \
-    pytest==5.3.5 \
-    pytest-env==0.6.2 \
-    pytest-cov==2.8.1 \
-    pytest-xdist==1.31.0 \
-    pytest-timeout==1.3.4 \
-    mock==2.0.0 \
-    onnx==1.5.0 \
-    protobuf==3.5.2 \
-    tabulate==0.7.5
-
 # Fix the en_DK.UTF-8 locale to test locale invariance
 RUN localedef -i en_DK -f UTF-8 en_DK.UTF-8
 
+# Python dependencies
+RUN python3 -m pip install --upgrade pip
+COPY install/requirements /work/
+RUN python3 -m pip install -r /work/requirements
+
 ARG USER_ID=0
 COPY install/docker_filepermissions.sh /work/
 RUN /work/docker_filepermissions.sh
diff --git a/ci/docker/Dockerfile.build.jetson b/ci/docker/Dockerfile.build.jetson
index 93fe5e0a5b0d..93c5558d2228 100644
--- a/ci/docker/Dockerfile.build.jetson
+++ b/ci/docker/Dockerfile.build.jetson
@@ -20,7 +20,7 @@
 # This script assumes /work/mxnet exists and contains the mxnet code you wish to compile and
 # that /work/build exists and is the target for your output.
 
-FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu18.04
+FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04
 
 ENV ARCH=aarch64 \
     HOSTCC=gcc \
@@ -32,7 +32,7 @@ RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y \
     build-essential \
     ninja-build \
     git \
-    curl \
+    wget \
     zip \
     unzip \
     python3 \
@@ -58,21 +58,38 @@ RUN git clone --recursive -b v0.3.9 https://github.com/xianyi/OpenBLAS.git && \
     cd /usr/local && \
     rm -rf OpenBLAS
 
-# Install aarch64 cross depedencies based on Jetpack 4.3
-# Manually downloaded using SDK Manager tool and placed in a private S3 bucket.
-# We're not allowed to redistribute these files and there is no public version.
-RUN aws s3 cp s3://mxnet-ci-prod-private-slave-data/nvidia/sdkm_downloads/cuda-repo-ubuntu1804-10-0-local-10.0.326-410.108_1.0-1_amd64.deb . && \
-    dpkg -i cuda-repo-ubuntu1804-10-0-local-10.0.326-410.108_1.0-1_amd64.deb && \
-    rm cuda-repo-ubuntu1804-10-0-local-10.0.326-410.108_1.0-1_amd64.deb && \
-    apt-key add /var/cuda-repo-10-0-local-10.0.326-410.108/7fa2af80.pub && \
-    aws s3 cp s3://mxnet-ci-prod-private-slave-data/nvidia/sdkm_downloads/cuda-repo-cross-aarch64-10-0-local-10.0.326_1.0-1_all.deb . && \
-    dpkg -i cuda-repo-cross-aarch64-10-0-local-10.0.326_1.0-1_all.deb && \
-    rm cuda-repo-cross-aarch64-10-0-local-10.0.326_1.0-1_all.deb && \
+# Install aarch64 cross depedencies based on Jetpack 4.4
+# Dependencies require cuda-toolkit-10.2 which isn't installed in nvidia docker container
+# It contains cuda-compat instead. However deb files currently depend on cuda-toolkit alone.
+# Hence force dpkg configure
+RUN wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-cross-aarch64-10-2_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-cross-aarch64_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-cudart-cross-aarch64-10-2_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-cufft-cross-aarch64-10-2_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-cupti-cross-aarch64-10-2_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-curand-cross-aarch64-10-2_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-cusolver-cross-aarch64-10-2_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-cusparse-cross-aarch64-10-2_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-driver-cross-aarch64-10-2_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-misc-headers-cross-aarch64-10-2_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-npp-cross-aarch64-10-2_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-nsight-compute-addon-l4t-10-2_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-nvgraph-cross-aarch64-10-2_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-nvml-cross-aarch64-10-2_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-nvrtc-cross-aarch64-10-2_10.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cublas/libcublas-cross-aarch64_10.2.2.89-1_all.deb && \
+    wget https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/n/nsight-compute/nsight-compute-addon-l4t-2019.5.0_2019.5.0.14-1_all.deb && \
+    dpkg -i --force-all  *.deb && \
+    rm *.deb && \
     apt-get update && \
     apt-get install -y -f && \
-    apt-get install -y cuda-cross-aarch64 cuda-cross-aarch64-10-0 && \
+    apt-get install -y cuda-cross-aarch64 cuda-cross-aarch64-10-2 && \
     rm -rf /var/lib/apt/lists/*
 
+# nvidia jetpack 4.4 installs libcublas.so at /usr/lib/aarch64-linux-gnu
+# while previously it used to store it at /usr/local/cuda/targets/aarch64-linux/lib/stubs
+RUN ln -s /usr/lib/aarch64-linux-gnu/libcublas.so /usr/local/cuda/targets/aarch64-linux/lib/stubs/libcublas.so
+
 ARG USER_ID=0
 ARG GROUP_ID=0
 COPY install/ubuntu_adduser.sh /work/
diff --git a/ci/docker/Dockerfile.build.ubuntu b/ci/docker/Dockerfile.build.ubuntu
index 415e6ae881ae..8398dc9bee54 100644
--- a/ci/docker/Dockerfile.build.ubuntu
+++ b/ci/docker/Dockerfile.build.ubuntu
@@ -53,9 +53,9 @@ RUN export DEBIAN_FRONTEND=noninteractive && \
         protobuf-compiler \
         libprotobuf-dev \
         clang-6.0 \
-        clang-tidy-6.0 \
         python-yaml \
         clang-10 \
+        clang-tidy-10 \
         g++ \
         g++-8 \
         intel-mkl-2020.0-088 \
@@ -68,9 +68,7 @@ RUN export DEBIAN_FRONTEND=noninteractive && \
         libzmq3-dev \
         liblapack-dev \
         libopencv-dev \
-        # Caffe
-        caffe-cpu \
-        libcaffe-cpu-dev \
+        libxml2-dev \
         # BytePS
         numactl \
         libnuma-dev \
@@ -80,23 +78,11 @@ RUN export DEBIAN_FRONTEND=noninteractive && \
         python3-pip \
         python3-nose \
         python3-nose-timer \
-        # Scala
-        openjdk-8-jdk \
-        openjdk-8-jre \
-        maven \
-        scala \
-        # Clojure
-        clojure \
-        leiningen \
-        # R
-        r-base-core \
-        r-cran-devtools \
-        libcairo2-dev \
-        libxml2-dev \
         ## Documentation
         doxygen \
         pandoc \
         ## Build-dependencies for ccache 3.7.9
+        autoconf \
         gperf \
         libb2-dev \
         libzstd-dev && \
@@ -114,22 +100,16 @@ RUN cd /usr/local/src && \
     cd /usr/local/src && \
     rm -rf ccache
 
+# RAT License Checker tool
+RUN cd /usr/local/src && \
+    wget https://archive.apache.org/dist/creadur/apache-rat-0.13/apache-rat-0.13-bin.tar.gz && \
+    tar xf apache-rat-0.13-bin.tar.gz
+
 # Python & cmake
 COPY install/requirements /work/
 RUN python3 -m pip install cmake==3.16.6 && \
     python3 -m pip install -r /work/requirements
 
-# Only OpenJDK 8 supported at this time..
-RUN update-java-alternatives -s java-1.8.0-openjdk-amd64
-
-# julia not available on 18.04
-COPY install/ubuntu_julia.sh /work/
-RUN /work/ubuntu_julia.sh
-
-# MXNetJS nightly needs emscripten for wasm
-COPY install/ubuntu_emscripten.sh /work/
-RUN /work/ubuntu_emscripten.sh
-
 ARG USER_ID=0
 COPY install/docker_filepermissions.sh /work/
 RUN /work/docker_filepermissions.sh
@@ -152,6 +132,23 @@ RUN cd /usr/local && \
     cd thrust && \
     git checkout 1.9.8
 
+# Install TensorRT
+# We need to redeclare ARG due to
+# https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
+ARG BASE_IMAGE
+RUN export SHORT_CUDA_VERSION=${CUDA_VERSION%.*} && \
+    apt-get update && \
+    if [ ${SHORT_CUDA_VERSION} = 10.0 ]; then \
+        apt-get install -y "libnvinfer-dev=5.1.5-1+cuda10.0"; \
+    elif [ ${SHORT_CUDA_VERSION} = 10.1 ]; then \
+        apt-get install -y "libnvinfer-dev=5.1.5-1+cuda10.1"; \
+    elif [ ${SHORT_CUDA_VERSION} = 10.2 ]; then \
+        apt-get install -y "libnvinfer-dev=6.0.1-1+cuda10.2"; \
+    else \
+        echo "ERROR: Cuda ${SHORT_CUDA_VERSION} not yet supported in Dockerfile.build.ubuntu"; \
+        exit 1; \
+    fi && \
+    rm -rf /var/lib/apt/lists/*
 
 FROM gpu as gpuwithcudaruntimelibs
 # Special case because the CPP-Package requires the CUDA runtime libs
diff --git a/ci/docker/Dockerfile.build.ubuntu_cpu_c b/ci/docker/Dockerfile.build.ubuntu_cpu_c
deleted file mode 100644
index c7969da1bb1d..000000000000
--- a/ci/docker/Dockerfile.build.ubuntu_cpu_c
+++ /dev/null
@@ -1,35 +0,0 @@
-# -*- mode: dockerfile -*-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-# Dockerfile to build and run MXNet on Ubuntu 16.04 for CPU
-
-FROM ubuntu:16.04
-
-WORKDIR /work/deps
-
-COPY install/ubuntu_core.sh /work/
-RUN /work/ubuntu_core.sh
-
-COPY install/deb_ubuntu_ccache.sh /work/
-RUN /work/deb_ubuntu_ccache.sh
-
-RUN apt-get update && apt-get install -y doxygen graphviz
-
-COPY runtime_functions.sh /work/
-
-WORKDIR /work/mxnet
\ No newline at end of file
diff --git a/ci/docker/Dockerfile.build.ubuntu_cpu_jekyll b/ci/docker/Dockerfile.build.ubuntu_cpu_jekyll
index 52ed2e083c69..6586a4e907d3 100644
--- a/ci/docker/Dockerfile.build.ubuntu_cpu_jekyll
+++ b/ci/docker/Dockerfile.build.ubuntu_cpu_jekyll
@@ -18,53 +18,28 @@
 #
 # Dockerfile to build and run MXNet on Ubuntu 16.04 for CPU
 
-FROM ubuntu:16.04
+FROM ruby:2.6.5-buster
 
 WORKDIR /work/deps
 
-SHELL ["/bin/bash", "-l", "-c" ]
-
-RUN apt-get update && apt-get install -y \
-      build-essential \
-      git \
-      zlib1g-dev \
-      gnupg2 \
-      curl \
-      wget \
-      unzip
-
-# Always last, except here to prevent conflicts with rvm
-ARG USER_ID=0
-ARG GROUP_ID=0
-COPY install/ubuntu_adduser.sh /work/
-RUN /work/ubuntu_adduser.sh
-
-RUN curl -sSL https://rvm.io/mpapis.asc | gpg2 --import - && \
-    curl -sSL https://rvm.io/pkuczynski.asc | gpg2 --import - && \
-    curl -sSL https://get.rvm.io | bash -s stable
-
-RUN source /etc/profile.d/rvm.sh && \
-    rvm requirements && \
-    rvm install 2.6.5 && \
-    rvm use 2.6.5 --default
-
 ENV BUNDLE_HOME=/work/deps/bundle
 ENV BUNDLE_APP_CONFIG=/work/deps/bundle
 ENV BUNDLE_BIN=/work/deps/bundle/bin
 ENV GEM_BIN=/work/deps/gem/bin
 ENV GEM_HOME=/work/deps/gem
 
-RUN echo "gem: --no-ri --no-rdoc" > ~/.gemrc
-RUN yes | gem update --system
-RUN yes | gem install --force bundler
-RUN gem install jekyll
+RUN echo "gem: --no-ri --no-rdoc" > ~/.gemrc && \
+    yes | gem update --system && \
+    yes | gem install --force bundler && \
+    gem install jekyll
 
 ENV PATH=$BUNDLE_BIN:$GEM_BIN:$PATH
 
 COPY runtime_functions.sh /work/
 
-RUN chown -R jenkins_slave /work/ && \
-    chown -R jenkins_slave /usr/local/bin && \
-    chown -R jenkins_slave /usr/local/rvm
+ARG USER_ID=0
+ARG GROUP_ID=0
+COPY install/ubuntu_adduser.sh /work/
+RUN /work/ubuntu_adduser.sh
 
 WORKDIR /work/mxnet
diff --git a/ci/docker/Dockerfile.build.ubuntu_cpu_julia b/ci/docker/Dockerfile.build.ubuntu_cpu_julia
deleted file mode 100644
index e100d4df09a8..000000000000
--- a/ci/docker/Dockerfile.build.ubuntu_cpu_julia
+++ /dev/null
@@ -1,66 +0,0 @@
-# -*- mode: dockerfile -*-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-# Dockerfile to build and run MXNet on Ubuntu 16.04 for CPU
-
-FROM ubuntu:16.04
-
-WORKDIR /work/deps
-
-COPY install/ubuntu_core.sh /work/
-RUN /work/ubuntu_core.sh
-
-COPY install/deb_ubuntu_ccache.sh /work/
-RUN /work/deb_ubuntu_ccache.sh
-
-COPY install/ubuntu_python.sh /work/
-COPY install/requirements /work/
-RUN /work/ubuntu_python.sh
-
-COPY install/ubuntu_scala.sh /work/
-COPY install/sbt.gpg /work/
-RUN /work/ubuntu_scala.sh
-
-COPY install/ubuntu_clojure.sh /work/
-RUN /work/ubuntu_clojure.sh
-
-COPY install/ubuntu_julia.sh /work/
-RUN /work/ubuntu_julia.sh
-
-COPY install/ubuntu_clang.sh /work/
-RUN /work/ubuntu_clang.sh
-
-COPY install/ubuntu_gcc8.sh /work/
-RUN /work/ubuntu_gcc8.sh
-
-COPY install/ubuntu_r.sh /work/
-COPY install/r.gpg /work/
-RUN /work/ubuntu_r.sh
-
-COPY install/ubuntu_docs.sh /work/
-RUN /work/ubuntu_docs.sh
-
-# Always last
-ARG USER_ID=0
-ARG GROUP_ID=0
-COPY install/ubuntu_adduser.sh /work/
-RUN /work/ubuntu_adduser.sh
-
-COPY runtime_functions.sh /work/
-
-WORKDIR /work/mxnet
diff --git a/ci/docker/Dockerfile.build.ubuntu_cpu_lite b/ci/docker/Dockerfile.build.ubuntu_cpu_lite
deleted file mode 100644
index ca5618ac1cd7..000000000000
--- a/ci/docker/Dockerfile.build.ubuntu_cpu_lite
+++ /dev/null
@@ -1,45 +0,0 @@
-# -*- mode: dockerfile -*-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-# Dockerfile to build and run MXNet on Ubuntu 16.04 for CPU
-
-FROM ubuntu:16.04
-
-WORKDIR /work/deps
-
-COPY install/ubuntu_core.sh /work/
-RUN /work/ubuntu_core.sh
-
-COPY install/deb_ubuntu_ccache.sh /work/
-RUN /work/deb_ubuntu_ccache.sh
-
-COPY install/ubuntu_clang.sh /work/
-RUN /work/ubuntu_clang.sh
-
-COPY install/ubuntu_gcc8.sh /work/
-RUN /work/ubuntu_gcc8.sh
-
-# Always last
-ARG USER_ID=0
-ARG GROUP_ID=0
-COPY install/ubuntu_adduser.sh /work/
-RUN /work/ubuntu_adduser.sh
-
-COPY runtime_functions.sh /work/
-
-WORKDIR /work/mxnet
\ No newline at end of file
diff --git a/ci/docker/Dockerfile.build.ubuntu_cpu_r b/ci/docker/Dockerfile.build.ubuntu_cpu_r
deleted file mode 100644
index 2354cb3b66d6..000000000000
--- a/ci/docker/Dockerfile.build.ubuntu_cpu_r
+++ /dev/null
@@ -1,46 +0,0 @@
-# -*- mode: dockerfile -*-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-# Dockerfile to build and run MXNet on Ubuntu 16.04 for CPU
-
-FROM ubuntu:16.04
-
-WORKDIR /work/deps
-
-COPY install/ubuntu_core.sh /work/
-RUN /work/ubuntu_core.sh
-
-COPY install/deb_ubuntu_ccache.sh /work/
-RUN /work/deb_ubuntu_ccache.sh
-
-COPY install/ubuntu_gcc8.sh /work/
-RUN /work/ubuntu_gcc8.sh
-
-COPY install/ubuntu_r.sh /work/
-COPY install/r.gpg /work/
-RUN /work/ubuntu_r.sh
-
-# Always last
-ARG USER_ID=0
-ARG GROUP_ID=0
-COPY install/ubuntu_adduser.sh /work/
-RUN /work/ubuntu_adduser.sh
-
-COPY runtime_functions.sh /work/
-
-WORKDIR /work/mxnet
diff --git a/ci/docker/Dockerfile.build.ubuntu_cpu_scala b/ci/docker/Dockerfile.build.ubuntu_cpu_scala
deleted file mode 100644
index a36e4426c39c..000000000000
--- a/ci/docker/Dockerfile.build.ubuntu_cpu_scala
+++ /dev/null
@@ -1,53 +0,0 @@
-# -*- mode: dockerfile -*-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-# Dockerfile to build and run MXNet on Ubuntu 16.04 for CPU
-
-FROM ubuntu:16.04
-
-WORKDIR /work/deps
-
-COPY install/ubuntu_core.sh /work/
-RUN /work/ubuntu_core.sh
-
-COPY install/deb_ubuntu_ccache.sh /work/
-RUN /work/deb_ubuntu_ccache.sh
-
-COPY install/ubuntu_gcc8.sh /work/
-RUN /work/ubuntu_gcc8.sh
-
-COPY install/ubuntu_python.sh /work/
-COPY install/requirements /work/
-RUN /work/ubuntu_python.sh
-
-COPY install/ubuntu_scala.sh /work/
-COPY install/sbt.gpg /work/
-RUN /work/ubuntu_scala.sh
-
-COPY install/ubuntu_clojure.sh /work/
-RUN /work/ubuntu_clojure.sh
-
-# Always last
-ARG USER_ID=0
-ARG GROUP_ID=0
-COPY install/ubuntu_adduser.sh /work/
-RUN /work/ubuntu_adduser.sh
-
-COPY runtime_functions.sh /work/
-
-WORKDIR /work/mxnet
diff --git a/ci/docker/Dockerfile.build.ubuntu_gpu_tensorrt b/ci/docker/Dockerfile.build.ubuntu_gpu_tensorrt
deleted file mode 100644
index 90bd772ecb17..000000000000
--- a/ci/docker/Dockerfile.build.ubuntu_gpu_tensorrt
+++ /dev/null
@@ -1,47 +0,0 @@
-# -*- mode: dockerfile -*-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-# Dockerfile to run MXNet on Ubuntu 16.04 for CPU
-
-FROM nvidia/cuda:10.0-devel
-
-WORKDIR /work/deps
-
-COPY install/ubuntu_core.sh /work/
-RUN /work/ubuntu_core.sh
-COPY install/deb_ubuntu_ccache.sh /work/
-RUN /work/deb_ubuntu_ccache.sh
-COPY install/ubuntu_python.sh /work/
-COPY install/requirements /work/
-RUN /work/ubuntu_python.sh
-COPY install/tensorrt.sh /work
-RUN /work/tensorrt.sh
-
-ARG USER_ID=0
-COPY install/ubuntu_adduser.sh /work/
-RUN /work/ubuntu_adduser.sh
-
-ENV CUDNN_VERSION=7.5.0.56
-COPY install/ubuntu_cudnn.sh /work/
-RUN /work/ubuntu_cudnn.sh
-
-COPY runtime_functions.sh /work/
-
-WORKDIR /work/mxnet
-ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib
-ENV CPLUS_INCLUDE_PATH=${CPLUS_INCLUDE_PATH}:/usr/local/cuda-10.0/targets/x86_64-linux/include/
diff --git a/ci/docker/Dockerfile.build.ubuntu_rat b/ci/docker/Dockerfile.build.ubuntu_rat
deleted file mode 100644
index 234d2e42e946..000000000000
--- a/ci/docker/Dockerfile.build.ubuntu_rat
+++ /dev/null
@@ -1,36 +0,0 @@
-# -*- mode: dockerfile -*-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-# Dockerfile to run the Apache RAT license check
-
-FROM ubuntu:16.04
-
-WORKDIR /work/deps
-
-COPY install/ubuntu_rat.sh /work/
-RUN /work/ubuntu_rat.sh
-
-ARG USER_ID=0
-ARG GROUP_ID=0
-COPY install/ubuntu_adduser.sh /work/
-RUN /work/ubuntu_adduser.sh
-
-COPY runtime_functions.sh /work/
-
-WORKDIR /work/mxnet
-ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib
diff --git a/ci/docker/Dockerfile.publish.test.ubuntu1604_cpu b/ci/docker/Dockerfile.publish.test.ubuntu1604_cpu
deleted file mode 100644
index bbb7b6a0d7bd..000000000000
--- a/ci/docker/Dockerfile.publish.test.ubuntu1604_cpu
+++ /dev/null
@@ -1,39 +0,0 @@
-# -*- mode: dockerfile -*-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-# Dockerfile to build and run MXNet on Ubuntu 16.04 for CPU
-
-FROM ubuntu:16.04
-
-WORKDIR /work/deps
-
-COPY install/ubuntu_base.sh /work/
-RUN /work/ubuntu_base.sh
-
-COPY install/ubuntu_scala.sh /work/
-RUN /work/ubuntu_scala.sh
-
-ARG USER_ID=0
-ARG GROUP_ID=0
-COPY install/ubuntu_adduser.sh /work/
-RUN /work/ubuntu_adduser.sh
-
-COPY runtime_functions.sh /work/
-
-WORKDIR /work/mxnet
-ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib
diff --git a/ci/docker/Dockerfile.publish.test.ubuntu1604_gpu b/ci/docker/Dockerfile.publish.test.ubuntu1604_gpu
deleted file mode 100644
index 660461dc0cfa..000000000000
--- a/ci/docker/Dockerfile.publish.test.ubuntu1604_gpu
+++ /dev/null
@@ -1,39 +0,0 @@
-# -*- mode: dockerfile -*-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-# Dockerfile to run MXNet on Ubuntu 16.04 for GPU
-
-FROM nvidia/cuda:9.2-cudnn7-devel-ubuntu16.04
-
-WORKDIR /work/deps
-
-COPY install/ubuntu_base.sh /work/
-RUN /work/ubuntu_base.sh
-
-COPY install/ubuntu_scala.sh /work/
-RUN /work/ubuntu_scala.sh
-
-ARG USER_ID=0
-ARG GROUP_ID=0
-COPY install/ubuntu_adduser.sh /work/
-RUN /work/ubuntu_adduser.sh
-
-COPY runtime_functions.sh /work/
-
-WORKDIR /work/mxnet
-ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib
diff --git a/ci/docker/Dockerfile.publish.test.ubuntu1804_cpu b/ci/docker/Dockerfile.publish.test.ubuntu1804_cpu
deleted file mode 100644
index e3a8c193f234..000000000000
--- a/ci/docker/Dockerfile.publish.test.ubuntu1804_cpu
+++ /dev/null
@@ -1,41 +0,0 @@
-# -*- mode: dockerfile -*-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-# Dockerfile to build and run MXNet on Ubuntu 18.04 for CPU
-
-FROM ubuntu:18.04
-
-WORKDIR /work/deps
-
-ENV DEBIAN_FRONTEND noninteractive
-
-COPY install/ubuntu_base.sh /work/
-RUN /work/ubuntu_base.sh
-
-COPY install/ubuntu_scala.sh /work/
-RUN /work/ubuntu_scala.sh
-
-ARG USER_ID=0
-ARG GROUP_ID=0
-COPY install/ubuntu_adduser.sh /work/
-RUN /work/ubuntu_adduser.sh
-
-COPY runtime_functions.sh /work/
-
-WORKDIR /work/mxnet
-ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib
diff --git a/ci/docker/Dockerfile.publish.test.ubuntu1804_gpu b/ci/docker/Dockerfile.publish.test.ubuntu1804_gpu
deleted file mode 100644
index 99f7e0d3eff9..000000000000
--- a/ci/docker/Dockerfile.publish.test.ubuntu1804_gpu
+++ /dev/null
@@ -1,41 +0,0 @@
-# -*- mode: dockerfile -*-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-# Dockerfile to run MXNet on Ubuntu 18.04 for GPU
-
-FROM nvidia/cuda:9.2-cudnn7-devel-ubuntu18.04
-
-WORKDIR /work/deps
-
-ENV DEBIAN_FRONTEND noninteractive
-
-COPY install/ubuntu_base.sh /work/
-RUN /work/ubuntu_base.sh
-
-COPY install/ubuntu_scala.sh /work/
-RUN /work/ubuntu_scala.sh
-
-ARG USER_ID=0
-ARG GROUP_ID=0
-COPY install/ubuntu_adduser.sh /work/
-RUN /work/ubuntu_adduser.sh
-
-COPY runtime_functions.sh /work/
-
-WORKDIR /work/mxnet
-ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib
diff --git a/ci/docker/Dockerfile.publish.ubuntu1604_cpu b/ci/docker/Dockerfile.publish.ubuntu1604_cpu
deleted file mode 100644
index e5898b66c161..000000000000
--- a/ci/docker/Dockerfile.publish.ubuntu1604_cpu
+++ /dev/null
@@ -1,44 +0,0 @@
-# -*- mode: dockerfile -*-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-# Dockerfile to build and run MXNet on Ubuntu 16.04 for CPU
-
-FROM ubuntu:16.04
-
-WORKDIR /work/deps
-
-COPY install/ubuntu_base.sh /work/
-RUN /work/ubuntu_base.sh
-
-COPY install/ubuntu_python.sh /work/
-COPY install/requirements /work/
-RUN /work/ubuntu_python.sh
-
-COPY install/ubuntu_scala.sh /work/
-COPY install/sbt.gpg /work/
-RUN /work/ubuntu_scala.sh
-
-ARG USER_ID=0
-ARG GROUP_ID=0
-COPY install/ubuntu_adduser.sh /work/
-RUN /work/ubuntu_adduser.sh
-
-COPY runtime_functions.sh /work/
-
-WORKDIR /work/mxnet
-ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib
diff --git a/ci/docker/Dockerfile.publish.ubuntu1604_gpu b/ci/docker/Dockerfile.publish.ubuntu1604_gpu
deleted file mode 100644
index 0bd8b8259b90..000000000000
--- a/ci/docker/Dockerfile.publish.ubuntu1604_gpu
+++ /dev/null
@@ -1,44 +0,0 @@
-# -*- mode: dockerfile -*-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-# Dockerfile to run MXNet on Ubuntu 16.04 for GPU
-
-FROM nvidia/cuda:9.2-cudnn7-devel-ubuntu16.04
-
-WORKDIR /work/deps
-
-COPY install/ubuntu_base.sh /work/
-RUN /work/ubuntu_base.sh
-
-COPY install/ubuntu_python.sh /work/
-COPY install/requirements /work/
-RUN /work/ubuntu_python.sh
-
-COPY install/ubuntu_scala.sh /work/
-COPY install/sbt.gpg /work/
-RUN /work/ubuntu_scala.sh
-
-ARG USER_ID=0
-ARG GROUP_ID=0
-COPY install/ubuntu_adduser.sh /work/
-RUN /work/ubuntu_adduser.sh
-
-COPY runtime_functions.sh /work/
-
-WORKDIR /work/mxnet
-ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib
diff --git a/ci/docker/docker-compose.yml b/ci/docker/docker-compose.yml
index 73beb232b1ca..cced098d7f11 100644
--- a/ci/docker/docker-compose.yml
+++ b/ci/docker/docker-compose.yml
@@ -206,3 +206,34 @@ services:
         BASE_IMAGE: nvidia/cuda:9.2-cudnn7-devel-centos7
       cache_from:
         - ${DOCKER_CACHE_REGISTRY}/publish.test.centos7_gpu:latest
+  ###################################################################################################
+  # Miscellaneous containers
+  ###################################################################################################
+  jetson:
+    image: ${DOCKER_CACHE_REGISTRY}/build.jetson:latest
+    build:
+      context: .
+      dockerfile: Dockerfile.build.jetson
+      cache_from:
+        - ${DOCKER_CACHE_REGISTRY}/build.jetson:latest
+  ubuntu_cpu_jekyll:
+    image: ${DOCKER_CACHE_REGISTRY}/build.ubuntu_cpu_jekyll:latest
+    build:
+      context: .
+      dockerfile: Dockerfile.build.ubuntu_cpu_jekyll
+      cache_from:
+        - ${DOCKER_CACHE_REGISTRY}/build.ubuntu_cpu_jekyll:latest
+  ubuntu_cpu_python:
+    image: ${DOCKER_CACHE_REGISTRY}/build.ubuntu_cpu_python:latest
+    build:
+      context: .
+      dockerfile: Dockerfile.build.ubuntu_cpu_python
+      cache_from:
+        - ${DOCKER_CACHE_REGISTRY}/build.ubuntu_cpu_python:latest
+  ubuntu_blc:
+    image: ${DOCKER_CACHE_REGISTRY}/build.ubuntu_blc:latest
+    build:
+      context: .
+      dockerfile: Dockerfile.build.ubuntu_blc
+      cache_from:
+        - ${DOCKER_CACHE_REGISTRY}/build.ubuntu_blc:latest
diff --git a/ci/docker/install/export_gpg_keys.sh b/ci/docker/install/export_gpg_keys.sh
deleted file mode 100755
index 604a27b98143..000000000000
--- a/ci/docker/install/export_gpg_keys.sh
+++ /dev/null
@@ -1,23 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-gpg --keyserver keyserver.ubuntu.com --recv 2EE0EA64E40A89B84B2DF73499E82A75642AC823
-gpg --output sbt.gpg --export scalasbt@gmail.com
-gpg --keyserver keyserver.ubuntu.com --recv E084DAB9
-gpg --output r.gpg --export marutter@gmail.com
diff --git a/ci/docker/install/r.gpg b/ci/docker/install/r.gpg
deleted file mode 100644
index 77fd6341e9d4..000000000000
Binary files a/ci/docker/install/r.gpg and /dev/null differ
diff --git a/ci/docker/install/requirements b/ci/docker/install/requirements
index ce06681d96af..bd0114ce0464 100644
--- a/ci/docker/install/requirements
+++ b/ci/docker/install/requirements
@@ -22,6 +22,7 @@
 numpy>=1.17
 requests>=2.20.0,<3
 graphviz<0.9.0,>=0.8.1
+contextvars;python_version<"3.7"
 
 # Optional dependencies
 onnx==1.5.0
@@ -42,6 +43,7 @@ pytest-xdist==1.31.0
 pytest-timeout==1.3.4
 flaky==3.6.1
 setuptools
+wheel
 mock==2.0.0
 
 # TVM dependencies
diff --git a/ci/docker/install/sbt.gpg b/ci/docker/install/sbt.gpg
deleted file mode 100644
index 664f01b37d01..000000000000
Binary files a/ci/docker/install/sbt.gpg and /dev/null differ
diff --git a/ci/docker/install/tensorrt.sh b/ci/docker/install/tensorrt.sh
deleted file mode 100755
index e98c7643f923..000000000000
--- a/ci/docker/install/tensorrt.sh
+++ /dev/null
@@ -1,49 +0,0 @@
-#!/bin/bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-# Install gluoncv since we're testing Gluon models as well
-pip3 install gluoncv==0.2.0
-
-# Install Protobuf
-# Install protoc 3.5 and build protobuf here (for onnx and onnx-tensorrt)
-pushd .
-cd ..
-apt-get update
-apt-get install -y automake libtool zip
-git clone --recursive -b 3.5.1.1 https://github.com/google/protobuf.git
-cd protobuf
-./autogen.sh
-./configure --disable-shared CXXFLAGS=-fPIC
-make -j$(nproc)
-make install
-rm -rf /usr/local/lib/libprotobuf-lite.so*
-rm -rf /usr/local/lib/libprotobuf.so*
-rm -rf /usr/local/lib/libprotoc.so*
-ldconfig
-popd
-
-# Install TensorRT
-echo "TensorRT build enabled. Installing TensorRT."
-wget -qO tensorrt.deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/nvidia-machine-learning-repo-ubuntu1604_1.0.0-1_amd64.deb
-dpkg -i tensorrt.deb
-apt-get update
-apt-get install -y --allow-downgrades libnvinfer5=5.1.5-1+cuda10.0
-apt-get install -y --allow-downgrades libnvinfer-dev=5.1.5-1+cuda10.0
-apt-mark hold libnvinfer5 libnvinfer-dev
-rm tensorrt.deb
diff --git a/ci/docker/install/ubuntu_base.sh b/ci/docker/install/ubuntu_base.sh
deleted file mode 100755
index f36e53279f57..000000000000
--- a/ci/docker/install/ubuntu_base.sh
+++ /dev/null
@@ -1,40 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-# build and install are separated so changes to build don't invalidate
-# the whole docker cache for the image
-
-set -ex
-apt-get update || true
-apt-get install -y \
-    build-essential \
-    ca-certificates \
-    cmake \
-    curl \
-    git \
-    ninja-build \
-    libgfortran3 \
-    software-properties-common \
-    sudo \
-    unzip \
-    expect \
-    gnupg \
-    gnupg2 \
-    gnupg-agent \
-    wget
diff --git a/ci/docker/install/ubuntu_clang.sh b/ci/docker/install/ubuntu_clang.sh
deleted file mode 100755
index c81f10dfb664..000000000000
--- a/ci/docker/install/ubuntu_clang.sh
+++ /dev/null
@@ -1,42 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-# build and install are separated so changes to build don't invalidate
-# the whole docker cache for the image
-
-set -ex
-
-# Install clang 3.9 (the same version as in XCode 8.*) and 10 (latest major release)
-wget -qO - http://apt.llvm.org/llvm-snapshot.gpg.key | apt-key add - && \
-    apt-add-repository "deb http://apt.llvm.org/xenial/ llvm-toolchain-xenial-3.9 main" && \
-    apt-add-repository "deb http://apt.llvm.org/xenial/ llvm-toolchain-xenial-6.0 main" && \
-    apt-add-repository "deb http://apt.llvm.org/xenial/ llvm-toolchain-xenial-10 main" && \
-    apt-get update && \
-    apt-get install -y clang-3.9 clang-6.0 clang-10 clang-tidy-6.0 && \
-    clang-3.9 --version && \
-    clang-6.0 --version && \
-    clang-10 --version
-
-# TODO(leezu) switch to clang-tidy 10
-# Use llvm's master version of run-clang-tidy.py.  This version has mostly minor updates, but
-# importantly will properly return a non-zero exit code when an error is reported in clang-tidy.
-# Please remove the below if we install a clang version higher than 6.0.
-wget \
- -qO /usr/lib/llvm-6.0/share/clang/run-clang-tidy.py\
- https://raw.githubusercontent.com/llvm-mirror/clang-tools-extra/7654135f0cbd155c285fd2a37d87e27e4fff3071/clang-tidy/tool/run-clang-tidy.py
diff --git a/ci/docker/install/ubuntu_clojure.sh b/ci/docker/install/ubuntu_clojure.sh
deleted file mode 100755
index dcaae6ba048d..000000000000
--- a/ci/docker/install/ubuntu_clojure.sh
+++ /dev/null
@@ -1,30 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-# build and install are separated so changes to build don't invalidate
-# the whole docker cache for the image
-
-set -ex
-# install libraries for mxnet's clojure package on ubuntu
-echo 'Installing Clojure...'
-
-wget -q https://raw.githubusercontent.com/technomancy/leiningen/stable/bin/lein
-chmod 775 lein
-sudo cp lein /usr/local/bin
-echo "Y" | sudo lein downgrade 2.8.3
diff --git a/ci/docker/install/ubuntu_cudnn.sh b/ci/docker/install/ubuntu_cudnn.sh
deleted file mode 100755
index eaf50447305c..000000000000
--- a/ci/docker/install/ubuntu_cudnn.sh
+++ /dev/null
@@ -1,62 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-# build and install are separated so changes to build don't invalidate
-# the whole docker cache for the image
-
-# Assumes base image is from nvidia/cuda
-
-set -ex
-
-if [ -z ${CUDNN_VERSION} ]; then
-	echo "Error: CUDNN_VERSION environment variable undefiend"
-	exit 1
-fi
-
-apt-get update || true
-
-case ${CUDA_VERSION} in
-	10\.2*)
-		export libcudnn7_version="${CUDNN_VERSION}-1+cuda10.2"
-		export libcudnn7_dev_version="${CUDNN_VERSION}-1+cuda10.2"
-		;;
-	10\.1*)
-		export libcudnn7_version="${CUDNN_VERSION}-1+cuda10.1"
-		export libcudnn7_dev_version="${CUDNN_VERSION}-1+cuda10.1"
-		;;
-	10\.0*)
-		export libcudnn7_version="${CUDNN_VERSION}-1+cuda10.0"
-		export libcudnn7_dev_version="${CUDNN_VERSION}-1+cuda10.0"
-		;;
-	9\.0*)
-		export libcudnn7_version="${CUDNN_VERSION}-1+cuda9.0"
-		export libcudnn7_dev_version="${CUDNN_VERSION}-1+cuda9.0"
-		;;
-	9\.2*)
-		export libcudnn7_version="${CUDNN_VERSION}-1+cuda9.2"
-		export libcudnn7_dev_version="${CUDNN_VERSION}-1+cuda9.2"
-		;;
-	*)
-		echo "Unsupported CUDA version ${CUDA_VERSION}"
-		exit 1
-		;;
-esac
-
-apt-get install -y --allow-downgrades libcudnn7=${libcudnn7_version} libcudnn7-dev=${libcudnn7_dev_version}
-
diff --git a/ci/docker/install/ubuntu_emscripten.sh b/ci/docker/install/ubuntu_emscripten.sh
deleted file mode 100755
index 28ede755f5c7..000000000000
--- a/ci/docker/install/ubuntu_emscripten.sh
+++ /dev/null
@@ -1,41 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-# build and install are separated so changes to build don't invalidate
-# the whole docker cache for the image
-
-#The script has been copied as is from a dockerfile that existed on previous MXNet versions (0.11)
-#Written By: Ly
-
-set -ex
-
-apt-get update || true
-apt-get -y install nodejs
-
-git clone -b 1.38.6 https://github.com/kripken/emscripten.git
-git clone -b 1.38.6 https://github.com/kripken/emscripten-fastcomp
-cd emscripten-fastcomp
-git clone -b 1.38.6 https://github.com/kripken/emscripten-fastcomp-clang tools/clang
-mkdir build && cd build
-
-cmake .. -DCMAKE_BUILD_TYPE=Release -DLLVM_TARGETS_TO_BUILD="X86;JSBackend" \
--DLLVM_INCLUDE_EXAMPLES=OFF -DLLVM_INCLUDE_TESTS=OFF -DCLANG_INCLUDE_EXAMPLES=OFF \
--DCLANG_INCLUDE_TESTS=OFF && make -j$(nproc)
-
-chmod -R 777 /work/deps/emscripten-fastcomp/
diff --git a/ci/docker/install/ubuntu_gcc8.sh b/ci/docker/install/ubuntu_gcc8.sh
deleted file mode 100755
index e0f2986e101f..000000000000
--- a/ci/docker/install/ubuntu_gcc8.sh
+++ /dev/null
@@ -1,23 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-sudo add-apt-repository ppa:jonathonf/gcc-8.0
-sudo add-apt-repository ppa:jonathonf/gcc-7.3
-sudo apt-get update || true
-sudo apt-get install -y gcc-8 g++-8 gcc-7 g++-7
diff --git a/ci/docker/install/ubuntu_julia.sh b/ci/docker/install/ubuntu_julia.sh
deleted file mode 100755
index 435ec46db6c7..000000000000
--- a/ci/docker/install/ubuntu_julia.sh
+++ /dev/null
@@ -1,43 +0,0 @@
-#!/bin/bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-# build and install are separated so changes to build don't invalidate
-# the whole docker cache for the image
-
-set -ex
-
-function install_julia() {
-    local suffix=`echo $1 | sed 's/\.//'`  # 0.7 -> 07; 1.0 -> 10
-    local JLBINARY="julia-$1.tar.gz"
-    local JULIADIR="/work/julia$suffix"
-    local JULIA="${JULIADIR}/bin/julia"
-
-    mkdir -p $JULIADIR
-    # The julia version in Ubuntu repo is too old
-    # We download the tarball from the official link:
-    #   https://julialang.org/downloads/
-    wget -qO $JLBINARY https://julialang-s3.julialang.org/bin/linux/x64/$1/julia-$2-linux-x86_64.tar.gz
-    tar xzf $JLBINARY -C $JULIADIR --strip 1
-    rm $JLBINARY
-
-    $JULIA -e 'using InteractiveUtils; versioninfo()'
-}
-
-install_julia 0.7 0.7.0
-install_julia 1.0 1.0.4
diff --git a/ci/docker/install/ubuntu_nightly_tests.sh b/ci/docker/install/ubuntu_nightly_tests.sh
deleted file mode 100755
index c80efed6c377..000000000000
--- a/ci/docker/install/ubuntu_nightly_tests.sh
+++ /dev/null
@@ -1,35 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-#Install steps for the nightly tests
-
-set -ex
-
-# Install for Compilation warning Nightly Test
-# Adding ppas frequently fails due to busy gpg servers, retry 5 times with 5 minute delays.
-for i in 1 2 3 4 5; do add-apt-repository -y ppa:ubuntu-toolchain-r/test && break || sleep 300; done
-
-apt-get update || true
-apt-get -y install time
-
-# Install for RAT License Check Nightly Test
-apt-get install -y subversion maven -y #>/dev/null
-
-# Packages needed for the Straight Dope Nightly tests.
-pip3 install pandas scikit-image prompt_toolkit
diff --git a/ci/docker/install/ubuntu_r.sh b/ci/docker/install/ubuntu_r.sh
deleted file mode 100755
index 44ebf7c0799e..000000000000
--- a/ci/docker/install/ubuntu_r.sh
+++ /dev/null
@@ -1,50 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-# build and install are separated so changes to build don't invalidate
-# the whole docker cache for the image
-
-# Important Maintenance Instructions:
-#  Align changes with installation instructions in /get_started/ubuntu_setup.md
-#  Align with R install script: /docs/install/install_mxnet_ubuntu_r.sh
-
-set -ex
-cd "$(dirname "$0")"
-# install libraries for mxnet's r package on ubuntu
-echo "deb http://cran.rstudio.com/bin/linux/ubuntu trusty/" >> /etc/apt/sources.list
-
-apt-key add r.gpg
-
-# Installing the latest version (3.3+) that is compatible with MXNet
-add-apt-repository 'deb [arch=amd64,i386] https://cran.rstudio.com/bin/linux/ubuntu xenial/'
-
-apt-get update || true
-apt-get install -y --allow-unauthenticated \
-    libcairo2-dev \
-    libssl-dev \
-    libxml2-dev \
-    libxt-dev \
-    r-base \
-    r-base-dev \
-    texinfo \
-    texlive \
-    texlive-fonts-extra
-
-# Delete cran repository as it requires --allow-unauthenticated
-find /etc/apt -name "*.list" | xargs sed -i 's/.*cran\.rstudio.com.*//'
diff --git a/ci/docker/install/ubuntu_rat.sh b/ci/docker/install/ubuntu_rat.sh
deleted file mode 100755
index 2c905fc275c7..000000000000
--- a/ci/docker/install/ubuntu_rat.sh
+++ /dev/null
@@ -1,34 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-set -ex
-
-echo "Install dependencies"
-apt-get update || true
-apt-get install -y subversion maven openjdk-8-jdk openjdk-8-jre
-
-echo "download RAT"
-#svn co http://svn.apache.org/repos/asf/creadur/rat/trunk/
-svn co http://svn.apache.org/repos/asf/creadur/rat/branches/0.12-release/
-
-echo "cd into directory"
-cd 0.12-release
-
-echo "mvn install"
-mvn -Dmaven.test.skip=true install
diff --git a/ci/docker/install/ubuntu_scala.sh b/ci/docker/install/ubuntu_scala.sh
deleted file mode 100755
index 355e978e075c..000000000000
--- a/ci/docker/install/ubuntu_scala.sh
+++ /dev/null
@@ -1,31 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-# build and install are separated so changes to build don't invalidate
-# the whole docker cache for the image
-
-set -ex
-
-apt-get update || true
-apt-get install -y \
-    openjdk-8-jdk \
-    openjdk-8-jre \
-    software-properties-common \
-    scala \
-    maven
diff --git a/ci/docker/runtime_functions.sh b/ci/docker/runtime_functions.sh
index 666c59e6e4aa..76b723c5d919 100755
--- a/ci/docker/runtime_functions.sh
+++ b/ci/docker/runtime_functions.sh
@@ -58,58 +58,6 @@ EOF
     fi
 }
 
-build_ccache_wrappers() {
-    set -ex
-
-    if [ -z ${CC+x} ]; then
-        echo "No \$CC set, defaulting to gcc";
-        export CC=gcc
-    fi
-     if [ -z ${CXX+x} ]; then
-       echo "No \$CXX set, defaulting to g++";
-       export CXX=g++
-    fi
-
-    # Recommended by CCache: https://ccache.samba.org/manual.html#_run_modes
-    # Add to the beginning of path to ensure this redirection is picked up instead
-    # of the original ones. Especially CUDA/NVCC appends itself to the beginning of the
-    # path and thus this redirect is ignored. This change fixes this problem
-    # This hacky approach with symbolic links is required because underlying build
-    # systems of our submodules ignore our CMake settings. If they use Makefile,
-    # we can't influence them at all in general and NVCC also prefers to hardcode their
-    # compiler instead of respecting the settings. Thus, we take this brutal approach
-    # and just redirect everything of this installer has been called.
-    # In future, we could do these links during image build time of the container.
-    # But in the beginning, we'll make this opt-in. In future, loads of processes like
-    # the scala make step or numpy compilation and other pip package generations
-    # could be heavily sped up by using ccache as well.
-    mkdir -p /tmp/ccache-redirects
-    export PATH=/tmp/ccache-redirects:$PATH
-    CCACHE=`which ccache`
-    ln -sf $CCACHE /tmp/ccache-redirects/gcc
-    ln -sf $CCACHE /tmp/ccache-redirects/gcc-8
-    ln -sf $CCACHE /tmp/ccache-redirects/g++
-    ln -sf $CCACHE /tmp/ccache-redirects/g++-8
-    ln -sf $CCACHE /tmp/ccache-redirects/clang++-3.9
-    ln -sf $CCACHE /tmp/ccache-redirects/clang-3.9
-    ln -sf $CCACHE /tmp/ccache-redirects/clang++-5.0
-    ln -sf $CCACHE /tmp/ccache-redirects/clang-5.0
-    ln -sf $CCACHE /tmp/ccache-redirects/clang++-6.0
-    ln -sf $CCACHE /tmp/ccache-redirects/clang-6.0
-    ln -sf $CCACHE /tmp/ccache-redirects/clang++-10
-    ln -sf $CCACHE /tmp/ccache-redirects/clang-10
-    #Doesn't work: https://github.com/ccache/ccache/issues/373
-    # ln -sf $CCACHE /tmp/ccache-redirects/nvcc
-    # ln -sf $CCACHE /tmp/ccache-redirects/nvcc
-    # export NVCC="/tmp/ccache-redirects/nvcc"
-
-    # Uncomment if you would like to debug CCache hit rates.
-    # You can monitor using tail -f ccache-log
-    #export CCACHE_LOGFILE=/work/mxnet/ccache-log
-    #export CCACHE_LOGFILE=/tmp/ccache-log
-    #export CCACHE_DEBUG=1
-}
-
 build_wheel() {
 
     set -ex
@@ -321,21 +269,6 @@ build_centos7_cpu() {
     ninja
 }
 
-build_centos7_cpu_make() {
-    set -ex
-    cd /work/mxnet
-    source /opt/rh/devtoolset-7/enable
-    make \
-        DEV=1 \
-        USE_LAPACK=1 \
-        USE_LAPACK_PATH=/usr/lib64/liblapack.so \
-        USE_BLAS=openblas \
-        USE_MKLDNN=0 \
-        USE_DIST_KVSTORE=1 \
-        USE_SIGNAL_HANDLER=1 \
-        -j$(nproc)
-}
-
 build_centos7_mkldnn() {
     set -ex
     cd /work/build
@@ -384,30 +317,12 @@ build_ubuntu_cpu_openblas() {
     ninja
 }
 
-build_ubuntu_cpu_openblas_make() {
-    set -ex
-    export CC=gcc-7
-    export CXX=g++-7
-    build_ccache_wrappers
-    make \
-        DEV=1                         \
-        USE_TVM_OP=1                  \
-        USE_CPP_PACKAGE=1             \
-        USE_BLAS=openblas             \
-        USE_MKLDNN=0                  \
-        USE_DIST_KVSTORE=1            \
-        USE_LIBJPEG_TURBO=1           \
-        USE_SIGNAL_HANDLER=1          \
-        -j$(nproc)
-    make cython PYTHON=python3
-}
-
 build_ubuntu_cpu_mkl() {
     set -ex
     cd /work/build
     CC=gcc-7 CXX=g++-7 cmake \
         -DCMAKE_BUILD_TYPE="RelWithDebInfo" \
-        -DENABLE_TESTCOVERAGE=ON \
+        -DENABLE_TESTCOVERAGE=OFF \
         -DUSE_MKLDNN=OFF \
         -DUSE_CUDA=OFF \
         -DUSE_TVM_OP=ON \
@@ -547,9 +462,8 @@ build_ubuntu_cpu_clang100() {
 build_ubuntu_cpu_clang_tidy() {
     set -ex
     cd /work/build
-    export CLANG_TIDY=/usr/lib/llvm-6.0/share/clang/run-clang-tidy.py
     # TODO(leezu) USE_OPENMP=OFF 3rdparty/dmlc-core/CMakeLists.txt:79 broken?
-    CXX=clang++-6.0 CC=clang-6.0 cmake \
+    CXX=clang++-10 CC=clang-10 cmake \
        -DUSE_MKL_IF_AVAILABLE=OFF \
        -DUSE_MKLDNN=OFF \
        -DUSE_CUDA=OFF \
@@ -557,11 +471,9 @@ build_ubuntu_cpu_clang_tidy() {
        -DCMAKE_BUILD_TYPE=Debug \
        -DUSE_DIST_KVSTORE=ON \
        -DUSE_CPP_PACKAGE=ON \
-       -DCMAKE_EXPORT_COMPILE_COMMANDS=ON \
+       -DCMAKE_CXX_CLANG_TIDY=clang-tidy-10 \
        -G Ninja /work/mxnet
     ninja
-    cd /work/mxnet
-    $CLANG_TIDY -p /work/build -j $(nproc) -clang-tidy-binary clang-tidy-6.0 /work/mxnet/src
 }
 
 build_ubuntu_cpu_clang6_mkldnn() {
@@ -589,22 +501,6 @@ build_ubuntu_cpu_clang100_mkldnn() {
     ninja
 }
 
-build_ubuntu_cpu_mkldnn_make() {
-    set -ex
-
-    export CC=gcc-7
-    export CXX=g++-7
-    build_ccache_wrappers
-
-    make  \
-        DEV=1                         \
-        USE_CPP_PACKAGE=1             \
-        USE_TVM_OP=1                  \
-        USE_BLAS=openblas             \
-        USE_SIGNAL_HANDLER=1          \
-        -j$(nproc)
-}
-
 build_ubuntu_cpu_mkldnn() {
     set -ex
     cd /work/build
@@ -625,7 +521,7 @@ build_ubuntu_cpu_mkldnn_mkl() {
     cd /work/build
     CC=gcc-7 CXX=g++-7 cmake \
         -DCMAKE_BUILD_TYPE="RelWithDebInfo" \
-        -DENABLE_TESTCOVERAGE=ON \
+        -DENABLE_TESTCOVERAGE=OFF \
         -DUSE_MKLDNN=ON \
         -DUSE_CUDA=OFF \
         -DUSE_TVM_OP=ON \
@@ -653,17 +549,16 @@ build_ubuntu_gpu_tensorrt() {
     rm -rf build
     mkdir -p build
     cd build
-    cmake \
-        -DCMAKE_CXX_FLAGS=-I/usr/include/python${PYVER}\
-        -DBUILD_SHARED_LIBS=ON ..\
-        -G Ninja
-    ninja -j 1 -v onnx/onnx.proto
-    ninja -j 1 -v
+    cmake  -DBUILD_SHARED_LIBS=ON -GNinja ..
+    ninja onnx/onnx.proto
+    ninja
     export LIBRARY_PATH=`pwd`:`pwd`/onnx/:$LIBRARY_PATH
     export CPLUS_INCLUDE_PATH=`pwd`:$CPLUS_INCLUDE_PATH
     popd
 
     # Build ONNX-TensorRT
+    export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib
+    export CPLUS_INCLUDE_PATH=${CPLUS_INCLUDE_PATH}:/usr/local/cuda-10.1/targets/x86_64-linux/include/
     pushd .
     cd 3rdparty/onnx-tensorrt/
     mkdir -p build
@@ -754,45 +649,6 @@ build_ubuntu_gpu_cuda101_cudnn7_debug() {
     ninja
 }
 
-build_ubuntu_gpu_cuda101_cudnn7_make() {
-    set -ex
-    export CC=gcc-7
-    export CXX=g++-7
-    build_ccache_wrappers
-    make \
-        USE_BLAS=openblas                         \
-        USE_MKLDNN=0                              \
-        USE_CUDA=1                                \
-        USE_CUDA_PATH=/usr/local/cuda             \
-        USE_CUDNN=1                               \
-        USE_CPP_PACKAGE=1                         \
-        USE_DIST_KVSTORE=1                        \
-        CUDA_ARCH="$CI_CUDA_COMPUTE_CAPABILITIES" \
-        USE_SIGNAL_HANDLER=1                      \
-        -j$(nproc)
-    make cython PYTHON=python3
-}
-
-build_ubuntu_gpu_cuda101_cudnn7_mkldnn_cpp_test() {
-    set -ex
-    export CC=gcc-7
-    export CXX=g++-7
-    build_ccache_wrappers
-    make \
-        USE_BLAS=openblas                         \
-        USE_MKLDNN=1                              \
-        USE_CUDA=1                                \
-        USE_CUDA_PATH=/usr/local/cuda             \
-        USE_CUDNN=1                               \
-        USE_CPP_PACKAGE=1                         \
-        USE_DIST_KVSTORE=1                        \
-        CUDA_ARCH="$CI_CUDA_COMPUTE_CAPABILITIES" \
-        USE_SIGNAL_HANDLER=1                      \
-        -j$(nproc)
-    make test USE_CPP_PACKAGE=1 -j$(nproc)
-    make cython PYTHON=python3
-}
-
 build_ubuntu_gpu_cmake() {
     set -ex
     cd /work/build
@@ -876,11 +732,26 @@ build_ubuntu_blc() {
 # Testing
 
 sanity_check() {
+    set -ex
+    sanity_license
+    sanity_python
+    sanity_cpp
+}
+
+sanity_license() {
     set -ex
     tools/license_header.py check
-    make cpplint
-    make pylint
-    pytest -n 4 tests/tutorials/test_sanity_tutorials.py
+}
+
+sanity_cpp() {
+    set -ex
+    3rdparty/dmlc-core/scripts/lint.py mxnet cpp include src plugin tests --exclude_path src/operator/contrib/ctc_include include/mkldnn
+}
+
+sanity_python() {
+    set -ex
+    python3 -m pylint --rcfile=ci/other/pylintrc --ignore-patterns=".*\.so$$,.*\.dll$$,.*\.dylib$$" python/mxnet
+    OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -n 4 tests/tutorials/test_sanity_tutorials.py
 }
 
 # Tests libmxnet
@@ -899,7 +770,7 @@ cd_unittest_ubuntu() {
 
     local mxnet_variant=${1:?"This function requires a mxnet variant as the first argument"}
 
-    pytest -m 'not serial' -n 4 --durations=50 --verbose tests/python/unittest
+    OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -n 4 --durations=50 --verbose tests/python/unittest
     pytest -m 'serial' --durations=50 --verbose tests/python/unittest
 
     # https://github.com/apache/incubator-mxnet/issues/11801
@@ -910,9 +781,9 @@ cd_unittest_ubuntu() {
     if [[ ${mxnet_variant} = cu* ]]; then
         MXNET_GPU_MEM_POOL_TYPE=Unpooled \
         MXNET_ENGINE_TYPE=NaiveEngine \
-            pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --verbose tests/python/gpu
+            OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --verbose tests/python/gpu
         MXNET_GPU_MEM_POOL_TYPE=Unpooled \
-            pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --verbose tests/python/gpu
+            OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --verbose tests/python/gpu
         pytest -m 'serial' --durations=50 --verbose tests/python/gpu
 
         # TODO(szha): fix and reenable the hanging issue. tracked in #18098
@@ -922,7 +793,7 @@ cd_unittest_ubuntu() {
     fi
 
     if [[ ${mxnet_variant} = *mkl ]]; then
-        pytest -n 4 --durations=50 --verbose tests/python/mkl
+        OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -n 4 --durations=50 --verbose tests/python/mkl
     fi
 }
 
@@ -934,24 +805,12 @@ unittest_ubuntu_python3_cpu() {
     export MXNET_SUBGRAPH_VERBOSE=0
     export MXNET_ENABLE_CYTHON=0
     export DMLC_LOG_STACK_TRACE_DEPTH=10
-    pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --cov-report xml:tests_unittest.xml --verbose tests/python/unittest
+    OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --cov-report xml:tests_unittest.xml --verbose tests/python/unittest
     MXNET_ENGINE_TYPE=NaiveEngine \
-        pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --cov-report xml:tests_unittest.xml --cov-append --verbose tests/python/unittest
+        OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --cov-report xml:tests_unittest.xml --cov-append --verbose tests/python/unittest
     pytest -m 'serial' --durations=50 --cov-report xml:tests_unittest.xml --cov-append --verbose tests/python/unittest
 }
 
-unittest_ubuntu_python3_cpu_serial() {
-    # TODO(szha): delete this and switch to unittest_ubuntu_python3_cpu once #18244 is fixed
-    set -ex
-    export PYTHONPATH=./python/
-    export MXNET_MKLDNN_DEBUG=0  # Ignored if not present
-    export MXNET_STORAGE_FALLBACK_LOG_VERBOSE=0
-    export MXNET_SUBGRAPH_VERBOSE=0
-    export MXNET_ENABLE_CYTHON=0
-    export DMLC_LOG_STACK_TRACE_DEPTH=10
-    pytest --durations=50 --cov-report xml:tests_unittest.xml --verbose tests/python/unittest
-}
-
 unittest_ubuntu_python3_cpu_mkldnn() {
     set -ex
     export PYTHONPATH=./python/
@@ -960,8 +819,10 @@ unittest_ubuntu_python3_cpu_mkldnn() {
     export MXNET_SUBGRAPH_VERBOSE=0
     export MXNET_ENABLE_CYTHON=0
     export DMLC_LOG_STACK_TRACE_DEPTH=10
-    # TODO(szha): enable parallel testing and naive engine for ops once #18244 is fixed
-    pytest --durations=50 --cov-report xml:tests_unittest.xml --verbose tests/python/unittest
+    OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --cov-report xml:tests_unittest.xml --verbose tests/python/unittest
+    MXNET_ENGINE_TYPE=NaiveEngine \
+                     OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --cov-report xml:tests_unittest.xml --cov-append --verbose tests/python/unittest
+    pytest -m 'serial' --durations=50 --cov-report xml:tests_unittest.xml --cov-append --verbose tests/python/unittest
     pytest --durations=50 --cov-report xml:tests_mkl.xml --verbose tests/python/mkl
 }
 
@@ -975,10 +836,10 @@ unittest_ubuntu_python3_gpu() {
     export MXNET_ENABLE_CYTHON=0
     export DMLC_LOG_STACK_TRACE_DEPTH=10
     MXNET_GPU_MEM_POOL_TYPE=Unpooled \
-        pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --verbose tests/python/gpu
+        OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --verbose tests/python/gpu
     MXNET_GPU_MEM_POOL_TYPE=Unpooled \
     MXNET_ENGINE_TYPE=NaiveEngine \
-        pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --cov-append --verbose tests/python/gpu
+        OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --cov-append --verbose tests/python/gpu
     pytest -m 'serial' --durations=50 --cov-report xml:tests_gpu.xml --cov-append --verbose tests/python/gpu
 }
 
@@ -994,10 +855,10 @@ unittest_ubuntu_python3_gpu_cython() {
     export DMLC_LOG_STACK_TRACE_DEPTH=10
     check_cython
     MXNET_GPU_MEM_POOL_TYPE=Unpooled \
-        pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --verbose tests/python/gpu
+        OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --verbose tests/python/gpu
     MXNET_GPU_MEM_POOL_TYPE=Unpooled \
     MXNET_ENGINE_TYPE=NaiveEngine \
-        pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --cov-append --verbose tests/python/gpu
+        OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --cov-append --verbose tests/python/gpu
     pytest -m 'serial' --durations=50 --cov-report xml:tests_gpu.xml --cov-append --verbose tests/python/gpu
 }
 
@@ -1010,10 +871,10 @@ unittest_ubuntu_python3_gpu_nocudnn() {
     export MXNET_ENABLE_CYTHON=0
     export DMLC_LOG_STACK_TRACE_DEPTH=10
     MXNET_GPU_MEM_POOL_TYPE=Unpooled \
-        pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --verbose tests/python/gpu
+        OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --verbose tests/python/gpu
     MXNET_GPU_MEM_POOL_TYPE=Unpooled \
     MXNET_ENGINE_TYPE=NaiveEngine \
-        pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --cov-append --verbose tests/python/gpu
+        OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --cov-append --verbose tests/python/gpu
     pytest -m 'serial' --durations=50 --cov-report xml:tests_gpu.xml --cov-append --verbose tests/python/gpu
 }
 
@@ -1026,11 +887,11 @@ unittest_centos7_cpu() {
     set -ex
     source /opt/rh/rh-python36/enable
     cd /work/mxnet
-    python -m pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --cov-report xml:tests_unittest.xml --verbose tests/python/unittest
+    OMP_NUM_THREADS=$(expr $(nproc) / 4) python -m pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --cov-report xml:tests_unittest.xml --verbose tests/python/unittest
     MXNET_ENGINE_TYPE=NaiveEngine \
-        python -m pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --cov-report xml:tests_unittest.xml --cov-append --verbose tests/python/unittest
+        OMP_NUM_THREADS=$(expr $(nproc) / 4) python -m pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --cov-report xml:tests_unittest.xml --cov-append --verbose tests/python/unittest
     python -m pytest -m 'serial' --durations=50 --cov-report xml:tests_unittest.xml --cov-append --verbose tests/python/unittest
-    python -m pytest -n 4 --durations=50 --cov-report xml:tests_train.xml --verbose tests/python/train
+    OMP_NUM_THREADS=$(expr $(nproc) / 4) python -m pytest -n 4 --durations=50 --cov-report xml:tests_train.xml --verbose tests/python/train
 }
 
 unittest_centos7_gpu() {
@@ -1040,10 +901,10 @@ unittest_centos7_gpu() {
     export CUDNN_VERSION=${CUDNN_VERSION:-7.0.3}
     export DMLC_LOG_STACK_TRACE_DEPTH=10
     MXNET_GPU_MEM_POOL_TYPE=Unpooled \
-        pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --cov-append --verbose tests/python/gpu
+        OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --cov-append --verbose tests/python/gpu
     MXNET_GPU_MEM_POOL_TYPE=Unpooled \
     MXNET_ENGINE_TYPE=NaiveEngine \
-        pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --cov-append --verbose tests/python/gpu
+        OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --cov-report xml:tests_gpu.xml --cov-append --verbose tests/python/gpu
     pytest -m 'serial' --durations=50 --cov-report xml:tests_gpu.xml --cov-append --verbose tests/python/gpu
 }
 
@@ -1052,9 +913,9 @@ integrationtest_ubuntu_cpu_onnx() {
 	export PYTHONPATH=./python/
     export DMLC_LOG_STACK_TRACE_DEPTH=10
 	python3 tests/python/unittest/onnx/backend_test.py
-	pytest -n 4 tests/python/unittest/onnx/mxnet_export_test.py
-	pytest -n 4 tests/python/unittest/onnx/test_models.py
-	pytest -n 4 tests/python/unittest/onnx/test_node.py
+	OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -n 4 tests/python/unittest/onnx/mxnet_export_test.py
+	OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -n 4 tests/python/unittest/onnx/test_models.py
+	OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -n 4 tests/python/unittest/onnx/test_node.py
 }
 
 integrationtest_ubuntu_cpu_dist_kvstore() {
@@ -1130,9 +991,9 @@ test_ubuntu_cpu_python3() {
     cd /work/mxnet/python
     pip3 install -e .
     cd /work/mxnet
-    python3 -m pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --verbose tests/python/unittest
+    OMP_NUM_THREADS=$(expr $(nproc) / 4) python3 -m pytest -m 'not serial' -k 'not test_operator' -n 4 --durations=50 --verbose tests/python/unittest
     MXNET_ENGINE_TYPE=NaiveEngine \
-        python3 -m pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --verbose tests/python/unittest
+        OMP_NUM_THREADS=$(expr $(nproc) / 4) python3 -m pytest -m 'not serial' -k 'test_operator' -n 4 --durations=50 --verbose tests/python/unittest
     python3 -m pytest -m 'serial' --durations=50 --verbose tests/python/unittest
 
     popd
@@ -1153,15 +1014,15 @@ unittest_ubuntu_python3_arm() {
 # Functions that run the nightly Tests:
 
 #Runs Apache RAT Check on MXNet Source for License Headers
-nightly_test_rat_check() {
+test_rat_check() {
     set -e
     pushd .
 
-    cd /work/deps/0.12-release/apache-rat/target
+    cd /usr/local/src/apache-rat-0.13
 
     # Use shell number 5 to duplicate the log output. It get sprinted and stored in $OUTPUT at the same time https://stackoverflow.com/a/12451419
     exec 5>&1
-    OUTPUT=$(java -jar apache-rat-0.13-SNAPSHOT.jar -E /work/mxnet/tests/nightly/apache_rat_license_check/rat-excludes -d /work/mxnet|tee >(cat - >&5))
+    OUTPUT=$(java -jar apache-rat-0.13.jar -E /work/mxnet/tests/nightly/apache_rat_license_check/rat-excludes -d /work/mxnet|tee >(cat - >&5))
     ERROR_MESSAGE="Printing headers for text files without a valid license header"
 
 
@@ -1267,25 +1128,12 @@ build_docs_setup() {
 }
 
 build_ubuntu_cpu_docs() {
-    set -ex
-    export CC="gcc-7"
-    export CXX="g++-7"
-    build_ccache_wrappers
-    make \
-        DEV=1                         \
-        USE_CPP_PACKAGE=1             \
-        USE_BLAS=openblas             \
-        USE_MKLDNN=0                  \
-        USE_DIST_KVSTORE=1            \
-        USE_LIBJPEG_TURBO=1           \
-        USE_SIGNAL_HANDLER=1          \
-        -j$(nproc)
+    build_ubuntu_cpu_openblas
 }
 
 
 build_jekyll_docs() {
     set -ex
-    source /etc/profile.d/rvm.sh
 
     pushd .
     build_docs_setup
@@ -1409,8 +1257,6 @@ build_static_libmxnet() {
     pushd .
     source /opt/rh/devtoolset-7/enable
     source /opt/rh/rh-python36/enable
-    export USE_SYSTEM_CUDA=1
-    export CMAKE_STATICBUILD=1
     local mxnet_variant=${1:?"This function requires a python command as the first argument"}
     source tools/staticbuild/build.sh ${mxnet_variant}
     popd
@@ -1484,7 +1330,6 @@ build_static_python_cu92() {
     set -ex
     pushd .
     export mxnet_variant=cu92
-    export USE_SYSTEM_CUDA=1
     source /opt/rh/devtoolset-7/enable
     source /opt/rh/rh-python36/enable
     ./ci/publish/python/build.sh
@@ -1502,7 +1347,7 @@ test_artifact_repository() {
     set -ex
     pushd .
     cd cd/utils/
-    pytest -n 4 test_artifact_repository.py
+    OMP_NUM_THREADS=$(expr $(nproc) / 4) pytest -n 4 test_artifact_repository.py
     popd
 }
 
diff --git a/ci/docker/toolchains/aarch64-linux-gnu-toolchain.cmake b/ci/docker/toolchains/aarch64-linux-gnu-toolchain.cmake
index 3780415c4b15..57072b5cf393 100644
--- a/ci/docker/toolchains/aarch64-linux-gnu-toolchain.cmake
+++ b/ci/docker/toolchains/aarch64-linux-gnu-toolchain.cmake
@@ -19,6 +19,7 @@ set(CMAKE_SYSTEM_NAME Linux)
 set(CMAKE_SYSTEM_PROCESSOR "aarch64")
 set(CMAKE_C_COMPILER aarch64-linux-gnu-gcc)
 set(CMAKE_CXX_COMPILER aarch64-linux-gnu-g++)
+set(CMAKE_CUDA_COMPILER nvcc)
 set(CMAKE_CUDA_HOST_COMPILER aarch64-linux-gnu-gcc)
 set(CMAKE_FIND_ROOT_PATH "/usr/aarch64-linux-gnu")
 
diff --git a/ci/docker_cache.py b/ci/docker_cache.py
deleted file mode 100644
index 7fb946b53ebc..000000000000
--- a/ci/docker_cache.py
+++ /dev/null
@@ -1,203 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-"""
-Utility to handle distributed docker cache. This is done by keeping the entire image chain of a docker container
-on an S3 bucket. This utility allows cache creation and download. After execution, the cache will be in an identical
-state as if the container would have been built locally already.
-"""
-
-import argparse
-import logging
-import os
-import subprocess
-import sys
-from typing import *
-
-import build as build_util
-from docker_login import login_dockerhub, logout_dockerhub
-from util import retry
-
-DOCKER_CACHE_NUM_RETRIES = 3
-DOCKER_CACHE_TIMEOUT_MINS = 45
-PARALLEL_BUILDS = 10
-DOCKER_CACHE_RETRY_SECONDS = 5
-
-
-def build_save_containers(platforms, registry, load_cache, no_publish) -> int:
-    """
-    Entry point to build and upload all built dockerimages in parallel
-    :param platforms: List of platforms
-    :param registry: Docker registry name
-    :param load_cache: Load cache before building
-    :return: 1 if error occurred, 0 otherwise
-    """
-    from joblib import Parallel, delayed
-    if len(platforms) == 0:
-        return 0
-
-    platform_results = Parallel(n_jobs=PARALLEL_BUILDS, backend="multiprocessing")(
-        delayed(_build_save_container)(platform, registry, load_cache, no_publish)
-        for platform in platforms)
-
-    is_error = False
-    for platform_result in platform_results:
-        if platform_result is not None:
-            logging.error('Failed to generate %s', platform_result)
-            is_error = True
-
-    return 1 if is_error else 0
-
-
-def _build_save_container(platform, registry, load_cache, no_publish) -> Optional[str]:
-    """
-    Build image for passed platform and upload the cache to the specified S3 bucket
-    :param platform: Platform
-    :param registry: Docker registry name
-    :param load_cache: Load cache before building
-    :return: Platform if failed, None otherwise
-    """
-    docker_tag = build_util.get_docker_tag(platform=platform, registry=registry)
-    # Preload cache
-    if load_cache:
-        load_docker_cache(registry=registry, docker_tag=docker_tag)
-
-    # Start building
-    logging.debug('Building %s as %s', platform, docker_tag)
-    try:
-        # Increase the number of retries for building the cache.
-        image_id = build_util.build_docker(platform=platform, registry=registry, num_retries=10, no_cache=False)
-        logging.info('Built %s as %s', docker_tag, image_id)
-
-        # Push cache to registry
-        if not no_publish:
-            _upload_image(registry=registry, docker_tag=docker_tag, image_id=image_id)
-        return None
-    except Exception:
-        logging.exception('Unexpected exception during build of %s', docker_tag)
-        return platform
-        # Error handling is done by returning the errorous platform name. This is necessary due to
-        # Parallel being unable to handle exceptions
-
-
-def _upload_image(registry, docker_tag, image_id) -> None:
-    """
-    Upload the passed image by id, tag it with docker tag and upload to S3 bucket
-    :param registry: Docker registry name
-    :param docker_tag: Docker tag
-    :param image_id: Image id
-    :return: None
-    """
-    # We don't have to retag the image since it is already in the right format
-    logging.info('Uploading %s (%s) to %s', docker_tag, image_id, registry)
-    push_cmd = ['docker', 'push', docker_tag]
-    subprocess.check_call(push_cmd)
-
-
-@retry(target_exception=subprocess.TimeoutExpired, tries=DOCKER_CACHE_NUM_RETRIES,
-       delay_s=DOCKER_CACHE_RETRY_SECONDS)
-def load_docker_cache(registry, docker_tag) -> None:
-    """
-    Load the precompiled docker cache from the registry
-    :param registry: Docker registry name
-    :param docker_tag: Docker tag to load
-    :return: None
-    """
-    # We don't have to retag the image since it's already in the right format
-    if not registry:
-        return
-    assert docker_tag
-
-    logging.info('Loading Docker cache for %s from %s', docker_tag, registry)
-    pull_cmd = ['docker', 'pull', docker_tag]
-
-    # Don't throw an error if the image does not exist
-    subprocess.run(pull_cmd, timeout=DOCKER_CACHE_TIMEOUT_MINS*60)
-    logging.info('Successfully pulled docker cache')
-
-
-def delete_local_docker_cache(docker_tag):
-    """
-    Delete the local docker cache for the entire docker image chain
-    :param docker_tag: Docker tag
-    :return: None
-    """
-    history_cmd = ['docker', 'history', '-q', docker_tag]
-
-    try:
-        image_ids_b = subprocess.check_output(history_cmd)
-        image_ids_str = image_ids_b.decode('utf-8').strip()
-        layer_ids = [id.strip() for id in image_ids_str.split('\n') if id != '<missing>']
-
-        delete_cmd = ['docker', 'image', 'rm', '--force']
-        delete_cmd.extend(layer_ids)
-        subprocess.check_call(delete_cmd)
-    except subprocess.CalledProcessError as error:
-        # Could be caused by the image not being present
-        logging.debug('Error during local cache deletion %s', error)
-
-
-def main() -> int:
-    """
-    Utility to create and publish the Docker cache to Docker Hub
-    :return:
-    """
-    # We need to be in the same directory than the script so the commands in the dockerfiles work as
-    # expected. But the script can be invoked from a different path
-    base = os.path.split(os.path.realpath(__file__))[0]
-    os.chdir(base)
-
-    logging.getLogger().setLevel(logging.DEBUG)
-    logging.getLogger('botocore').setLevel(logging.INFO)
-    logging.getLogger('boto3').setLevel(logging.INFO)
-    logging.getLogger('urllib3').setLevel(logging.INFO)
-    logging.getLogger('s3transfer').setLevel(logging.INFO)
-
-    def script_name() -> str:
-        return os.path.split(sys.argv[0])[1]
-
-    logging.basicConfig(format='{}: %(asctime)-15s %(message)s'.format(script_name()))
-
-    parser = argparse.ArgumentParser(description="Utility for preserving and loading Docker cache", epilog="")
-    parser.add_argument("--docker-registry",
-                        help="Docker hub registry name",
-                        type=str,
-                        required=True)
-    parser.add_argument("--no-publish", help="Only build but don't publish. Used for testing.",
-                        action='store_true')
-
-    args = parser.parse_args()
-
-    platforms = build_util.get_platforms(legacy_only=True)
-
-    secret_name = os.environ['DOCKERHUB_SECRET_NAME']
-    endpoint_url = os.environ['DOCKERHUB_SECRET_ENDPOINT_URL']
-    region_name = os.environ['DOCKERHUB_SECRET_ENDPOINT_REGION']
-
-    try:
-        if not args.no_publish:
-            login_dockerhub(secret_name, endpoint_url, region_name)
-        return build_save_containers(platforms=platforms, registry=args.docker_registry, load_cache=True, no_publish=args.no_publish)
-    finally:
-        logout_dockerhub()
-
-
-if __name__ == '__main__':
-    sys.exit(main())
diff --git a/ci/docker_cache_requirements b/ci/docker_cache_requirements
deleted file mode 100644
index d1272cb348c7..000000000000
--- a/ci/docker_cache_requirements
+++ /dev/null
@@ -1,24 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-boto3==1.7.13
-botocore==1.10.13
-docutils==0.14
-jmespath==0.9.3
-joblib==0.11
-python-dateutil==2.7.2
-s3transfer==0.1.13
-six==1.11.0
diff --git a/ci/jenkins/Jenkins_steps.groovy b/ci/jenkins/Jenkins_steps.groovy
index 923d41b4c383..8079420dd794 100644
--- a/ci/jenkins/Jenkins_steps.groovy
+++ b/ci/jenkins/Jenkins_steps.groovy
@@ -25,7 +25,6 @@ utils = load('ci/Jenkinsfile_utils.groovy')
 // mxnet libraries
 mx_lib = 'build/libmxnet.so, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, build/tvmop.conf, build/libcustomop_lib.so, build/libcustomop_gpu_lib.so, build/libsubgraph_lib.so, build/3rdparty/openmp/runtime/src/libomp.so'
 mx_lib_cython = 'build/libmxnet.so, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, build/tvmop.conf, build/libcustomop_lib.so, build/libcustomop_gpu_lib.so, build/libsubgraph_lib.so, python/mxnet/_cy3/*.so, build/3rdparty/openmp/runtime/src/libomp.so, python/mxnet/_ffi/_cy3/*.so'
-mx_lib_make = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm_runtime.so, lib/libtvmop.so, lib/tvmop.conf, build/libcustomop_lib.so, build/libcustomop_gpu_lib.so, build/libsubgraph_lib.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
 
 // mxnet cmake libraries, in cmake builds we do not produce a libnvvm static library by default.
 mx_cmake_lib = 'build/libmxnet.so, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, build/tvmop.conf, build/tests/mxnet_unit_tests, build/3rdparty/openmp/runtime/src/libomp.so'
@@ -34,11 +33,8 @@ mx_cmake_lib_cython = 'build/libmxnet.so, build/3rdparty/tvm/libtvm_runtime.so,
 // mxnet cmake libraries, in cmake builds we do not produce a libnvvm static library by default.
 mx_cmake_lib_debug = 'build/libmxnet.so, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, build/tvmop.conf, build/libcustomop_lib.so, build/libcustomop_gpu_lib.so, build/libsubgraph_lib.so, build/tests/mxnet_unit_tests'
 mx_mkldnn_lib = 'build/libmxnet.so, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, build/tvmop.conf, build/3rdparty/openmp/runtime/src/libomp.so, build/libcustomop_lib.so, build/libcustomop_gpu_lib.so, build/libsubgraph_lib.so'
-mx_mkldnn_lib_make = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm_runtime.so, lib/libtvmop.so, lib/tvmop.conf, build/libcustomop_lib.so, build/libcustomop_gpu_lib.so, build/libsubgraph_lib.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
 mx_tensorrt_lib = 'build/libmxnet.so, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, build/tvmop.conf, build/3rdparty/openmp/runtime/src/libomp.so, lib/libnvonnxparser_runtime.so.0, lib/libnvonnxparser.so.0, lib/libonnx_proto.so, lib/libonnx.so'
 mx_lib_cpp_examples = 'build/libmxnet.so, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, build/tvmop.conf, build/3rdparty/openmp/runtime/src/libomp.so, build/libcustomop_lib.so, build/libcustomop_gpu_lib.so, build/libsubgraph_lib.so, python/mxnet/_cy3/*.so, python/mxnet/_ffi/_cy3/*.so'
-mx_lib_cpp_examples_make = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm_runtime.so, lib/libtvmop.so, lib/tvmop.conf, build/libcustomop_lib.so, build/libcustomop_gpu_lib.so, build/libsubgraph_lib.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a, 3rdparty/ps-lite/build/libps.a, deps/lib/libprotobuf-lite.a, deps/lib/libzmq.a, python/mxnet/_cy3/*.so, python/mxnet/_ffi/_cy3/*.so'
-mx_lib_cpp_capi_make = 'lib/libmxnet.so, lib/libmxnet.a, lib/libtvm_runtime.so, lib/libtvmop.so, lib/tvmop.conf, libsample_lib.so, lib/libmkldnn.so.1, lib/libmklml_intel.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a, 3rdparty/ps-lite/build/libps.a, deps/lib/libprotobuf-lite.a, deps/lib/libzmq.a, python/mxnet/_cy3/*.so, python/mxnet/_ffi/_cy3/*.so, build/tests/cpp/mxnet_unit_tests'
 mx_lib_cpp_examples_no_tvm_op = 'build/libmxnet.so, build/libcustomop_lib.so, build/libcustomop_gpu_lib.so, build/libsubgraph_lib.so, build/3rdparty/openmp/runtime/src/libomp.so, python/mxnet/_cy3/*.so, python/mxnet/_ffi/_cy3/*.so'
 mx_lib_cpp_examples_cpu = 'build/libmxnet.so, build/3rdparty/tvm/libtvm_runtime.so, build/libtvmop.so, build/tvmop.conf, build/3rdparty/openmp/runtime/src/libomp.so'
 mx_cd_lib = 'lib/libmxnet.so, licenses/*, lib/libgfortran.so.4, lib/libquadmath.so.0, lib/libopenblas.so.0, include/mkldnn/dnnl_version.h, include/mkldnn/dnnl_config.h'
@@ -51,12 +47,6 @@ def python3_ut(docker_container_name) {
   }
 }
 
-def python3_ut_serial(docker_container_name) {
-  timeout(time: max_time, unit: 'MINUTES') {
-    utils.docker_run(docker_container_name, 'unittest_ubuntu_python3_cpu_serial', false)
-  }
-}
-
 def python3_ut_mkldnn(docker_container_name) {
   timeout(time: max_time, unit: 'MINUTES') {
     utils.docker_run(docker_container_name, 'unittest_ubuntu_python3_cpu_mkldnn', false)
@@ -101,20 +91,6 @@ def compile_unix_cpu_openblas(lib_name) {
     }]
 }
 
-def compile_unix_cpu_openblas_make(lib_name) {
-    return ['CPU: Openblas Makefile': {
-      node(NODE_LINUX_CPU) {
-        ws('workspace/build-cpu-openblas') {
-          timeout(time: max_time, unit: 'MINUTES') {
-            utils.init_git()
-            utils.docker_run('ubuntu_cpu', 'build_ubuntu_cpu_openblas_make', false)
-            utils.pack_lib(lib_name, mx_lib_make)
-          }
-        }
-      }
-    }]
-}
-
 def compile_unix_openblas_debug_cpu(lib_name) {
     return ['CPU: Openblas, cmake, debug': {
       node(NODE_LINUX_CPU) {
@@ -177,7 +153,7 @@ def compile_unix_mkl_cpu(lib_name) {
           timeout(time: max_time, unit: 'MINUTES') {
             utils.init_git()
             utils.docker_run('ubuntu_cpu', 'build_ubuntu_cpu_mkl', false)
-            utils.pack_lib(lib_name, mx_lib, true)
+            utils.pack_lib(lib_name, mx_lib, false)
           }
         }
       }
@@ -198,20 +174,6 @@ def compile_unix_mkldnn_cpu(lib_name) {
     }]
 }
 
-def compile_unix_mkldnn_cpu_make(lib_name) {
-    return ['CPU: MKLDNN Makefile': {
-      node(NODE_LINUX_CPU) {
-        ws('workspace/build-mkldnn-cpu') {
-          timeout(time: max_time, unit: 'MINUTES') {
-            utils.init_git()
-            utils.docker_run('ubuntu_cpu', 'build_ubuntu_cpu_mkldnn_make', false)
-            utils.pack_lib(lib_name, mx_mkldnn_lib_make)
-          }
-        }
-      }
-    }]
-}
-
 def compile_unix_mkldnn_mkl_cpu(lib_name) {
     return ['CPU: MKLDNN_MKL': {
       node(NODE_LINUX_CPU) {
@@ -219,7 +181,7 @@ def compile_unix_mkldnn_mkl_cpu(lib_name) {
           timeout(time: max_time, unit: 'MINUTES') {
             utils.init_git()
             utils.docker_run('ubuntu_cpu', 'build_ubuntu_cpu_mkldnn_mkl', false)
-            utils.pack_lib(lib_name, mx_mkldnn_lib, true)
+            utils.pack_lib(lib_name, mx_mkldnn_lib, false)
           }
         }
       }
@@ -268,21 +230,6 @@ def compile_unix_full_gpu(lib_name) {
     }]
 }
 
-def compile_unix_full_gpu_make(lib_name) {
-    return ['GPU: CUDA10.1+cuDNN7 Makefile': {
-      node(NODE_LINUX_CPU) {
-        ws('workspace/build-gpu') {
-          timeout(time: max_time, unit: 'MINUTES') {
-            utils.init_git()
-            utils.docker_run('ubuntu_build_cuda', 'build_ubuntu_gpu_cuda101_cudnn7_make', false)
-            utils.pack_lib(lib_name, mx_lib_cpp_examples_make)
-          }
-        }
-      }
-    }]
-}
-
-
 def compile_unix_full_gpu_debug(lib_name) {
     return ['GPU: CUDA10.1+cuDNN7, debug': {
       node(NODE_LINUX_CPU) {
@@ -297,20 +244,6 @@ def compile_unix_full_gpu_debug(lib_name) {
     }]
 }
 
-def compile_unix_full_gpu_mkldnn_cpp_test(lib_name) {
-    return ['GPU: CUDA10.1+cuDNN7+MKLDNN+CPPTEST Makefile': {
-      node(NODE_LINUX_CPU) {
-        ws('workspace/build-gpu-mkldnn-cpp') {
-          timeout(time: max_time, unit: 'MINUTES') {
-            utils.init_git()
-            utils.docker_run('ubuntu_build_cuda', 'build_ubuntu_gpu_cuda101_cudnn7_mkldnn_cpp_test', false)
-            utils.pack_lib(lib_name, mx_lib_cpp_capi_make)
-          }
-        }
-      }
-    }]
-}
-
 def compile_unix_cmake_gpu(lib_name) {
     return ['GPU: CMake': {
       node(NODE_LINUX_CPU) {
@@ -345,7 +278,7 @@ def compile_unix_tensorrt_gpu(lib_name) {
         ws('workspace/build-tensorrt') {
           timeout(time: max_time, unit: 'MINUTES') {
             utils.init_git()
-            utils.docker_run('ubuntu_gpu_tensorrt', 'build_ubuntu_gpu_tensorrt', false)
+            utils.docker_run('ubuntu_gpu_cu101', 'build_ubuntu_gpu_tensorrt', false)
             utils.pack_lib(lib_name, mx_tensorrt_lib)
           }
         }
@@ -367,20 +300,6 @@ def compile_centos7_cpu(lib_name) {
     }]
 }
 
-def compile_centos7_cpu_make(lib_name) {
-    return ['CPU: CentOS 7 Makefile': {
-      node(NODE_LINUX_CPU) {
-        ws('workspace/build-centos7-cpu') {
-          timeout(time: max_time, unit: 'MINUTES') {
-            utils.init_git()
-            utils.docker_run('centos7_cpu', 'build_centos7_cpu_make', false)
-            utils.pack_lib(lib_name, mx_lib_make)
-          }
-        }
-      }
-    }]
-}
-
 def compile_centos7_cpu_mkldnn() {
     return ['CPU: CentOS 7 MKLDNN': {
       node(NODE_LINUX_CPU) {
@@ -772,8 +691,8 @@ def test_unix_python3_mkl_cpu(lib_name) {
       node(NODE_LINUX_CPU) {
         ws('workspace/ut-python3-cpu') {
           try {
-            utils.unpack_and_init(lib_name, mx_lib, true)
-            python3_ut_serial('ubuntu_cpu')
+            utils.unpack_and_init(lib_name, mx_lib)
+            python3_ut('ubuntu_cpu')
             utils.publish_test_coverage()
           } finally {
             utils.collect_test_results_unix('tests_unittest.xml', 'tests_python3_cpu_unittest.xml')
@@ -854,7 +773,7 @@ def test_unix_python3_mkldnn_mkl_cpu(lib_name) {
       node(NODE_LINUX_CPU) {
         ws('workspace/ut-python3-mkldnn-mkl-cpu') {
           try {
-            utils.unpack_and_init(lib_name, mx_lib, true)
+            utils.unpack_and_init(lib_name, mx_lib)
             python3_ut_mkldnn('ubuntu_cpu')
             utils.publish_test_coverage()
           } finally {
@@ -903,7 +822,7 @@ def test_unix_onnx_cpu(lib_name) {
       node(NODE_LINUX_CPU) {
         ws('workspace/it-onnx-cpu') {
           timeout(time: max_time, unit: 'MINUTES') {
-            utils.unpack_and_init(lib_name, mx_lib_make)
+            utils.unpack_and_init(lib_name, mx_lib)
             utils.docker_run('ubuntu_cpu', 'integrationtest_ubuntu_cpu_onnx', false)
             utils.publish_test_coverage()
           }
@@ -1132,8 +1051,8 @@ def compile_unix_lite(lib_name) {
         ws('workspace/docs') {
           timeout(time: max_time, unit: 'MINUTES') {
             utils.init_git()
-            utils.docker_run('ubuntu_cpu_lite', 'build_ubuntu_cpu_docs', false)
-            utils.pack_lib(lib_name, 'lib/libmxnet.so', false)
+            utils.docker_run('ubuntu_cpu', 'build_ubuntu_cpu_docs', false)
+            utils.pack_lib(lib_name, mx_lib, false)
           }
         }
       }
@@ -1161,7 +1080,7 @@ def docs_python(lib_name) {
       node(NODE_LINUX_CPU) {
         ws('workspace/docs') {
           timeout(time: max_time, unit: 'MINUTES') {
-            utils.unpack_and_init(lib_name, 'lib/libmxnet.so', false)
+            utils.unpack_and_init(lib_name, mx_lib, false)
             utils.docker_run('ubuntu_cpu_python', 'build_python_docs', false)
             if (should_pack_website()) {
               utils.pack_lib('python-artifacts', 'docs/_build/python-artifacts.tgz', false)
@@ -1309,7 +1228,7 @@ def sanity_rat_license() {
       node(NODE_LINUX_CPU) {
         ws('workspace/sanity-rat') {
           utils.init_git()
-          utils.docker_run('ubuntu_rat', 'nightly_test_rat_check', false)
+          utils.docker_run('ubuntu_cpu', 'test_rat_check', false)
         }
       }
     }]
@@ -1331,7 +1250,6 @@ def misc_test_docker_cache_build() {
     node(NODE_LINUX_CPU) {
       ws('workspace/docker_cache') {
         utils.init_git()
-        sh "python3 ./ci/docker_cache.py --docker-registry ${env.DOCKER_CACHE_REGISTRY} --no-publish"
         sh "cd ci && docker-compose -f docker/docker-compose.yml pull && docker-compose -f docker/docker-compose.yml build --parallel"
       }
     }
diff --git a/ci/jenkins/Jenkinsfile_centos_cpu b/ci/jenkins/Jenkinsfile_centos_cpu
index f652478a6f32..cddb3c977a5d 100644
--- a/ci/jenkins/Jenkinsfile_centos_cpu
+++ b/ci/jenkins/Jenkinsfile_centos_cpu
@@ -35,7 +35,6 @@ utils.main_wrapper(
 core_logic: {
   utils.parallel_stage('Build', [
     custom_steps.compile_centos7_cpu('centos7_cpu'),
-    custom_steps.compile_centos7_cpu_make('centos7_cpu_make'),
     custom_steps.compile_centos7_cpu_mkldnn(),
     custom_steps.compile_static_python_cpu(),
     custom_steps.compile_static_cd_cpu('centos7_cpu_cd')
diff --git a/ci/jenkins/Jenkinsfile_unix_cpu b/ci/jenkins/Jenkinsfile_unix_cpu
index 0909fc5139fe..67d5afc4cc76 100644
--- a/ci/jenkins/Jenkinsfile_unix_cpu
+++ b/ci/jenkins/Jenkinsfile_unix_cpu
@@ -35,11 +35,9 @@ utils.main_wrapper(
 core_logic: {
   utils.parallel_stage('Build', [
     custom_steps.compile_unix_cpu_openblas('cpu'),
-    custom_steps.compile_unix_cpu_openblas_make('cpu_make'),
     custom_steps.compile_unix_openblas_debug_cpu('cpu_debug'),
     custom_steps.compile_unix_mkl_cpu('cpu_mkl'),
     custom_steps.compile_unix_mkldnn_cpu('mkldnn_cpu'),
-    custom_steps.compile_unix_mkldnn_cpu_make('mkldnn_cpu_make'),
     custom_steps.compile_unix_mkldnn_mkl_cpu('mkldnn_mkl_cpu'),
     custom_steps.compile_unix_int64_cpu('ubuntu_cpu'),
     custom_steps.compile_unix_openblas_cpu_no_tvm_op('cpu_openblas_no_tvm_op'),
@@ -50,7 +48,7 @@ core_logic: {
     custom_steps.test_unix_python3_mkl_cpu('cpu_mkl'),
     custom_steps.test_unix_python3_mkldnn_cpu('mkldnn_cpu'),
     custom_steps.test_unix_python3_mkldnn_mkl_cpu('mkldnn_mkl_cpu'),
-    custom_steps.test_unix_onnx_cpu('cpu_make'),
+    custom_steps.test_unix_onnx_cpu('cpu'),
     /*  Disabled due to master build failure:
      *  http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/master/1221/pipeline/
      *  https://github.com/apache/incubator-mxnet/issues/11801
diff --git a/ci/jenkins/Jenkinsfile_unix_gpu b/ci/jenkins/Jenkinsfile_unix_gpu
index 1fe96bf690df..1fcdc96f46ac 100644
--- a/ci/jenkins/Jenkinsfile_unix_gpu
+++ b/ci/jenkins/Jenkinsfile_unix_gpu
@@ -37,13 +37,11 @@ core_logic: {
     custom_steps.compile_unix_mkldnn_gpu('mkldnn_gpu'),
     custom_steps.compile_unix_mkldnn_nocudnn_gpu('mkldnn_gpu_nocudnn'),
     custom_steps.compile_unix_full_gpu('gpu'),
-    custom_steps.compile_unix_full_gpu_make('gpu_make'),
     custom_steps.compile_unix_full_gpu_debug('gpu_debug'),
     custom_steps.compile_unix_cmake_gpu('cmake_gpu'),
     custom_steps.compile_unix_tensorrt_gpu('tensorrt'),
     custom_steps.compile_unix_int64_gpu('gpu_int64'),
     custom_steps.compile_unix_cmake_gpu_no_rtc('gpu_no_rtc'),
-    custom_steps.compile_unix_full_gpu_mkldnn_cpp_test('gpu_mkldnn_cpp_test_make')
   ])
 
   utils.parallel_stage('Tests', [
diff --git a/ci/jenkins/Jenkinsfile_website_c_docs b/ci/jenkins/Jenkinsfile_website_c_docs
deleted file mode 100644
index caddbae8c620..000000000000
--- a/ci/jenkins/Jenkinsfile_website_c_docs
+++ /dev/null
@@ -1,48 +0,0 @@
-// -*- mode: groovy -*-
-
-// Licensed to the Apache Software Foundation (ASF) under one
-// or more contributor license agreements.  See the NOTICE file
-// distributed with this work for additional information
-// regarding copyright ownership.  The ASF licenses this file
-// to you under the Apache License, Version 2.0 (the
-// "License"); you may not use this file except in compliance
-// with the License.  You may obtain a copy of the License at
-//
-//   http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing,
-// software distributed under the License is distributed on an
-// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-// KIND, either express or implied.  See the License for the
-// specific language governing permissions and limitations
-// under the License.
-//
-// Jenkins pipeline
-// See documents at https://jenkins.io/doc/book/pipeline/jenkinsfile/
-
-// timeout in minutes
-max_time = 20
-
-node('utility') {
-  // Loading the utilities requires a node context unfortunately
-  checkout scm
-  utils = load('ci/Jenkinsfile_utils.groovy')
-  custom_steps = load('ci/jenkins/Jenkins_steps.groovy')
-}
-utils.assign_node_labels(utility: 'utility', linux_cpu: 'mxnetlinux-cpu')
-
-utils.main_wrapper(
-core_logic: {
-  utils.parallel_stage('Build', [
-    custom_steps.compile_unix_lite('libmxnet')
-  ])
-
-}
-,
-failure_handler: {
-  // Only send email if master or release branches failed
-  if (currentBuild.result == "FAILURE" && (env.BRANCH_NAME == "master" || env.BRANCH_NAME.startsWith("v"))) {
-    emailext body: 'Build for MXNet branch ${BRANCH_NAME} has broken. Please view the build at ${BUILD_URL}', replyTo: '${EMAIL}', subject: '[BUILD FAILED] Branch ${BRANCH_NAME} build ${BUILD_NUMBER}', to: '${EMAIL}'
-  }
-}
-)
diff --git a/ci/jenkins/Jenkinsfile_website_clojure_docs b/ci/jenkins/Jenkinsfile_website_clojure_docs
deleted file mode 100644
index caddbae8c620..000000000000
--- a/ci/jenkins/Jenkinsfile_website_clojure_docs
+++ /dev/null
@@ -1,48 +0,0 @@
-// -*- mode: groovy -*-
-
-// Licensed to the Apache Software Foundation (ASF) under one
-// or more contributor license agreements.  See the NOTICE file
-// distributed with this work for additional information
-// regarding copyright ownership.  The ASF licenses this file
-// to you under the Apache License, Version 2.0 (the
-// "License"); you may not use this file except in compliance
-// with the License.  You may obtain a copy of the License at
-//
-//   http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing,
-// software distributed under the License is distributed on an
-// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-// KIND, either express or implied.  See the License for the
-// specific language governing permissions and limitations
-// under the License.
-//
-// Jenkins pipeline
-// See documents at https://jenkins.io/doc/book/pipeline/jenkinsfile/
-
-// timeout in minutes
-max_time = 20
-
-node('utility') {
-  // Loading the utilities requires a node context unfortunately
-  checkout scm
-  utils = load('ci/Jenkinsfile_utils.groovy')
-  custom_steps = load('ci/jenkins/Jenkins_steps.groovy')
-}
-utils.assign_node_labels(utility: 'utility', linux_cpu: 'mxnetlinux-cpu')
-
-utils.main_wrapper(
-core_logic: {
-  utils.parallel_stage('Build', [
-    custom_steps.compile_unix_lite('libmxnet')
-  ])
-
-}
-,
-failure_handler: {
-  // Only send email if master or release branches failed
-  if (currentBuild.result == "FAILURE" && (env.BRANCH_NAME == "master" || env.BRANCH_NAME.startsWith("v"))) {
-    emailext body: 'Build for MXNet branch ${BRANCH_NAME} has broken. Please view the build at ${BUILD_URL}', replyTo: '${EMAIL}', subject: '[BUILD FAILED] Branch ${BRANCH_NAME} build ${BUILD_NUMBER}', to: '${EMAIL}'
-  }
-}
-)
diff --git a/ci/jenkins/Jenkinsfile_website_java_docs b/ci/jenkins/Jenkinsfile_website_java_docs
deleted file mode 100644
index 03d160009740..000000000000
--- a/ci/jenkins/Jenkinsfile_website_java_docs
+++ /dev/null
@@ -1,47 +0,0 @@
-// -*- mode: groovy -*-
-
-// Licensed to the Apache Software Foundation (ASF) under one
-// or more contributor license agreements.  See the NOTICE file
-// distributed with this work for additional information
-// regarding copyright ownership.  The ASF licenses this file
-// to you under the Apache License, Version 2.0 (the
-// "License"); you may not use this file except in compliance
-// with the License.  You may obtain a copy of the License at
-//
-//   http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing,
-// software distributed under the License is distributed on an
-// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-// KIND, either express or implied.  See the License for the
-// specific language governing permissions and limitations
-// under the License.
-//
-// Jenkins pipeline
-// See documents at https://jenkins.io/doc/book/pipeline/jenkinsfile/
-
-// timeout in minutes
-max_time = 20
-
-node('utility') {
-  // Loading the utilities requires a node context unfortunately
-  checkout scm
-  utils = load('ci/Jenkinsfile_utils.groovy')
-  custom_steps = load('ci/jenkins/Jenkins_steps.groovy')
-}
-utils.assign_node_labels(utility: 'utility', linux_cpu: 'mxnetlinux-cpu')
-
-utils.main_wrapper(
-core_logic: {
-  utils.parallel_stage('Build', [
-    custom_steps.compile_unix_lite('libmxnet')
-  ])
-}
-,
-failure_handler: {
-  // Only send email if master or release branches failed
-  if (currentBuild.result == "FAILURE" && (env.BRANCH_NAME == "master" || env.BRANCH_NAME.startsWith("v"))) {
-    emailext body: 'Build for MXNet branch ${BRANCH_NAME} has broken. Please view the build at ${BUILD_URL}', replyTo: '${EMAIL}', subject: '[BUILD FAILED] Branch ${BRANCH_NAME} build ${BUILD_NUMBER}', to: '${EMAIL}'
-  }
-}
-)
diff --git a/ci/jenkins/Jenkinsfile_website_julia_docs b/ci/jenkins/Jenkinsfile_website_julia_docs
deleted file mode 100644
index 8a2528f89ce7..000000000000
--- a/ci/jenkins/Jenkinsfile_website_julia_docs
+++ /dev/null
@@ -1,48 +0,0 @@
-// -*- mode: groovy -*-
-
-// Licensed to the Apache Software Foundation (ASF) under one
-// or more contributor license agreements.  See the NOTICE file
-// distributed with this work for additional information
-// regarding copyright ownership.  The ASF licenses this file
-// to you under the Apache License, Version 2.0 (the
-// "License"); you may not use this file except in compliance
-// with the License.  You may obtain a copy of the License at
-//
-//   http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing,
-// software distributed under the License is distributed on an
-// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-// KIND, either express or implied.  See the License for the
-// specific language governing permissions and limitations
-// under the License.
-//
-// Jenkins pipeline
-// See documents at https://jenkins.io/doc/book/pipeline/jenkinsfile/
-
-// timeout in minutes
-max_time = 60
-
-node('utility') {
-  // Loading the utilities requires a node context unfortunately
-  checkout scm
-  utils = load('ci/Jenkinsfile_utils.groovy')
-  custom_steps = load('ci/jenkins/Jenkins_steps.groovy')
-}
-utils.assign_node_labels(utility: 'utility', linux_cpu: 'mxnetlinux-cpu')
-
-utils.main_wrapper(
-core_logic: {
-  utils.parallel_stage('Build', [
-    custom_steps.compile_unix_lite('libmxnet')
-  ])
-
-}
-,
-failure_handler: {
-  // Only send email if master or release branches failed
-  if (currentBuild.result == "FAILURE" && (env.BRANCH_NAME == "master" || env.BRANCH_NAME.startsWith("v"))) {
-    emailext body: 'Build for MXNet branch ${BRANCH_NAME} has broken. Please view the build at ${BUILD_URL}', replyTo: '${EMAIL}', subject: '[BUILD FAILED] Branch ${BRANCH_NAME} build ${BUILD_NUMBER}', to: '${EMAIL}'
-  }
-}
-)
diff --git a/ci/test_docker_cache.py b/ci/test_docker_cache.py
deleted file mode 100644
index 81b315be4cff..000000000000
--- a/ci/test_docker_cache.py
+++ /dev/null
@@ -1,272 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-"""
-Distributed Docker cache tests
-"""
-
-import unittest.mock
-import tempfile
-import os
-import logging
-import subprocess
-import sys
-from unittest.mock import MagicMock
-
-sys.path.append(os.path.dirname(__file__))
-import docker_cache
-import build as build_util
-
-DOCKERFILE_DIR = 'docker'
-DOCKER_REGISTRY_NAME = 'test_registry'
-DOCKER_REGISTRY_PORT = 5000
-DOCKER_REGISTRY_PATH = 'localhost:{}'.format(DOCKER_REGISTRY_PORT)
-
-class RedirectSubprocessOutput(object):
-    """
-    Redirect the output of all subprocess.call calls to a readable buffer instead of writing it to stdout/stderr.
-    The output can then be retrieved with get_output.
-    """
-    def __enter__(self):
-        self.buf_output = tempfile.TemporaryFile()
-
-        def trampoline(*popenargs, **kwargs):
-            self.call(*popenargs, **kwargs)
-
-        self.old_method = subprocess.call
-        subprocess.call = trampoline
-        return self
-
-    def __exit__(self, *args):
-        logging.info('Releasing docker output buffer:\n%s', self.get_output())
-        subprocess.call = self.old_method
-        self.buf_output.close()
-
-    def call(self, *popenargs, **kwargs):
-        """
-        Replace subprocess.call
-        :param popenargs:
-        :param timeout:
-        :param kwargs:
-        :return:
-        """
-        kwargs['stderr'] = subprocess.STDOUT
-        kwargs['stdout'] = self.buf_output
-        return self.old_method(*popenargs, **kwargs)
-
-    def get_output(self):
-        self.buf_output.seek(0)
-        return self.buf_output.read().decode('utf-8')
-
-
-class TestDockerCache(unittest.TestCase):
-    """
-    Test utility class
-    """
-    def setUp(self):
-        logging.getLogger().setLevel(logging.DEBUG)
-
-        # We need to be in the same directory than the script so the commands in the dockerfiles work as
-        # expected. But the script can be invoked from a different path
-        base = os.path.split(os.path.realpath(__file__))[0]
-        os.chdir(base)
-
-        docker_cache.login_dockerhub = MagicMock()  # Override login
-
-        # Stop in case previous execution was dirty
-        try:
-            self._stop_local_docker_registry()
-        except Exception:
-            pass
-
-        # Start up docker registry
-        self._start_local_docker_registry()
-
-    def tearDown(self):
-        # Stop docker registry
-        self._stop_local_docker_registry()
-
-    @classmethod
-    def _start_local_docker_registry(cls):
-        # https://docs.docker.com/registry/deploying/#run-a-local-registrys
-        start_cmd = [
-            'docker', 'run', '-d', '-p', '{}:{}'.format(DOCKER_REGISTRY_PORT, DOCKER_REGISTRY_PORT),
-            '--name', DOCKER_REGISTRY_NAME, 'registry:2'
-        ]
-        subprocess.check_call(start_cmd)
-
-    @classmethod
-    def _stop_local_docker_registry(cls):
-        # https://docs.docker.com/registry/deploying/#run-a-local-registry
-        stop_cmd = ['docker', 'container', 'stop', DOCKER_REGISTRY_NAME]
-        subprocess.check_call(stop_cmd)
-
-        clean_cmd = ['docker', 'container', 'rm', '-v', DOCKER_REGISTRY_NAME]
-        subprocess.check_call(clean_cmd)
-
-    def test_full_cache(self):
-        """
-        Test whether it's possible to restore cache entirely
-        :return:
-        """
-        dockerfile_content = """
-                FROM busybox
-                RUN touch ~/file1
-                RUN touch ~/file2
-                RUN touch ~/file3
-                RUN touch ~/file4
-                """
-        platform = 'test_full_cache'
-        docker_tag = build_util.get_docker_tag(platform=platform, registry=DOCKER_REGISTRY_PATH)
-        dockerfile_path = os.path.join(DOCKERFILE_DIR, 'Dockerfile.build.' + platform)
-        try:
-            with open(dockerfile_path, 'w') as dockerfile_handle:
-                dockerfile_handle.write(dockerfile_content)
-
-            # Warm up
-            docker_cache.delete_local_docker_cache(docker_tag=docker_tag)
-
-            def warm_up_lambda_func():
-                build_util.build_docker(
-                    docker_binary='docker',
-                    platform=platform,
-                    registry=DOCKER_REGISTRY_PATH,
-                    num_retries=3,
-                    no_cache=False
-                )
-            _assert_docker_build(lambda_func=warm_up_lambda_func, expected_cache_hit_count=0,
-                                 expected_cache_miss_count=4)
-
-            # Assert local cache is properly primed
-            def primed_cache_lambda_func():
-                build_util.build_docker(
-                    docker_binary='docker',
-                    platform=platform,
-                    registry=DOCKER_REGISTRY_PATH,
-                    num_retries=3,
-                    no_cache=False
-                )
-            _assert_docker_build(lambda_func=primed_cache_lambda_func, expected_cache_hit_count=4,
-                                 expected_cache_miss_count=0)
-
-            # Upload and clean local cache
-            docker_cache.build_save_containers(platforms=[platform], registry=DOCKER_REGISTRY_PATH, load_cache=False)
-            docker_cache.delete_local_docker_cache(docker_tag=docker_tag)
-
-            # Build with clean local cache and cache loading enabled
-            def clean_cache_lambda_func():
-                docker_cache.build_save_containers(
-                    platforms=[platform], registry=DOCKER_REGISTRY_PATH, load_cache=True)
-            _assert_docker_build(lambda_func=clean_cache_lambda_func, expected_cache_hit_count=4,
-                                 expected_cache_miss_count=0)
-        finally:
-            # Delete dockerfile
-            os.remove(dockerfile_path)
-            docker_cache.delete_local_docker_cache(docker_tag=docker_tag)
-
-    def test_partial_cache(self):
-        """
-        Test whether it's possible to restore cache and then pit it up partially by using a Dockerfile which shares
-        some parts
-        :return:
-        """
-        # These two dockerfiles diverge at the fourth RUN statement. Their common parts (1-3) should be re-used
-        dockerfile_content_1 = """
-                FROM busybox
-                RUN touch ~/file1
-                RUN touch ~/file2
-                RUN touch ~/file3
-                RUN touch ~/file4
-                """
-        dockerfile_content_2 = """
-                FROM busybox
-                RUN touch ~/file1
-                RUN touch ~/file2
-                RUN touch ~/file3
-                RUN touch ~/file5
-                RUN touch ~/file4
-                RUN touch ~/file6
-                """
-        platform = 'test_partial_cache'
-        docker_tag = build_util.get_docker_tag(platform=platform, registry=DOCKER_REGISTRY_PATH)
-        dockerfile_path = os.path.join(DOCKERFILE_DIR, 'Dockerfile.build.' + platform)
-        try:
-            # Write initial Dockerfile
-            with open(dockerfile_path, 'w') as dockerfile_handle:
-                dockerfile_handle.write(dockerfile_content_1)
-
-            # Warm up
-            docker_cache.delete_local_docker_cache(docker_tag=docker_tag)
-
-            def warm_up_lambda_func():
-                build_util.build_docker(
-                    docker_binary='docker',
-                    platform=platform,
-                    registry=DOCKER_REGISTRY_PATH,
-                    num_retries=3,
-                    no_cache=False
-                )
-            _assert_docker_build(lambda_func=warm_up_lambda_func, expected_cache_hit_count=0,
-                                 expected_cache_miss_count=4)
-
-            # Assert local cache is properly primed
-            def primed_cache_lambda_func():
-                build_util.build_docker(
-                    docker_binary='docker',
-                    platform=platform,
-                    registry=DOCKER_REGISTRY_PATH,
-                    num_retries=3,
-                    no_cache=False
-                )
-            _assert_docker_build(lambda_func=primed_cache_lambda_func, expected_cache_hit_count=4,
-                                 expected_cache_miss_count=0)
-
-            # Upload and clean local cache
-            docker_cache.build_save_containers(platforms=[platform], registry=DOCKER_REGISTRY_PATH, load_cache=False)
-            docker_cache.delete_local_docker_cache(docker_tag=docker_tag)
-
-            # Replace Dockerfile with the second one, resulting in a partial cache hit
-            with open(dockerfile_path, 'w') as dockerfile_handle:
-                dockerfile_handle.write(dockerfile_content_2)
-
-            # Test if partial cache is properly hit. It will attempt to load the cache from the first Dockerfile,
-            # resulting in a partial hit
-            def partial_cache_lambda_func():
-                docker_cache.build_save_containers(
-                    platforms=[platform], registry=DOCKER_REGISTRY_PATH, load_cache=True)
-            _assert_docker_build(lambda_func=partial_cache_lambda_func, expected_cache_hit_count=3,
-                                 expected_cache_miss_count=3)
-
-        finally:
-            # Delete dockerfile
-            os.remove(dockerfile_path)
-            docker_cache.delete_local_docker_cache(docker_tag=docker_tag)
-
-
-def _assert_docker_build(lambda_func, expected_cache_hit_count: int, expected_cache_miss_count: int):
-    with RedirectSubprocessOutput() as redirected_output:
-        lambda_func()
-        output = redirected_output.get_output()
-        assert output.count('Running in') == expected_cache_miss_count, \
-            'Expected {} "Running in", got {}. Log:{}'.\
-                format(expected_cache_miss_count, output.count('Running in'), output)
-        assert output.count('Using cache') == expected_cache_hit_count, \
-            'Expected {} "Using cache", got {}. Log:{}'.\
-                format(expected_cache_hit_count, output.count('Using cache'), output)
diff --git a/ci/windows/test_jl07_cpu.ps1 b/ci/windows/test_jl07_cpu.ps1
deleted file mode 100644
index 4924957ddb68..000000000000
--- a/ci/windows/test_jl07_cpu.ps1
+++ /dev/null
@@ -1,56 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-7z x -y windows_package.7z
-
-# set default output encoding to utf8
-$PSDefaultParameterValues['Out-File:Encoding'] = 'utf8'
-
-$env:MXNET_HOME = [System.IO.Path]::GetFullPath('.\windows_package')
-$env:JULIA_URL = "https://julialang-s3.julialang.org/bin/winnt/x64/0.7/julia-0.7.0-win64.exe"
-$env:JULIA_DEPOT_PATH = [System.IO.Path]::GetFullPath('.\julia-depot')
-
-$JULIA_DIR = [System.IO.Path]::GetFullPath('.\julia07')
-$JULIA = "$JULIA_DIR\bin\julia"
-
-# Download most recent Julia Windows binary
-[System.Net.ServicePointManager]::SecurityProtocol = [System.Net.SecurityProtocolType]::Tls12
-(New-Object System.Net.WebClient).DownloadFile($env:JULIA_URL, "julia-binary.exe")
-if ($LastExitCode -ne 0) { Throw ("Error on downloading Julia Windows binary") }
-
-# Run installer silently, output to C:\julia07\julia
-Start-Process -Wait "julia-binary.exe" -ArgumentList "/S /D=$JULIA_DIR"
-if ($LastExitCode -ne 0) { Throw ("Error on installing Julia") }
-
-& $JULIA -e "using InteractiveUtils; versioninfo()"
-
-dir
-
-$src='
-    using Pkg
-    Pkg.activate(".\\julia")
-    Pkg.build()
-    Pkg.test()
-'
-
-$src > .\ci-build.jl
-
-# Redirect all stderr output to stdout,
-# since Julia loggers output stuffs to stderr.
-# Then, stderr triggers powershell NativeCommandError.
-& $JULIA .\ci-build.jl 2>&1 | %{ "$_" }
-if ($LastExitCode -eq 1) { Throw ("Error") }
diff --git a/ci/windows/test_jl10_cpu.ps1 b/ci/windows/test_jl10_cpu.ps1
deleted file mode 100644
index b54b11a8a8ab..000000000000
--- a/ci/windows/test_jl10_cpu.ps1
+++ /dev/null
@@ -1,56 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-7z x -y windows_package.7z
-
-# set default output encoding to utf8
-$PSDefaultParameterValues['Out-File:Encoding'] = 'utf8'
-
-$env:MXNET_HOME = [System.IO.Path]::GetFullPath('.\windows_package')
-$env:JULIA_URL = "https://julialang-s3.julialang.org/bin/winnt/x64/1.0/julia-1.0.3-win64.exe"
-$env:JULIA_DEPOT_PATH = [System.IO.Path]::GetFullPath('.\julia-depot')
-
-$JULIA_DIR = [System.IO.Path]::GetFullPath('.\julia10')
-$JULIA = "$JULIA_DIR\bin\julia"
-
-# Download most recent Julia Windows binary
-[System.Net.ServicePointManager]::SecurityProtocol = [System.Net.SecurityProtocolType]::Tls12
-(New-Object System.Net.WebClient).DownloadFile($env:JULIA_URL, "julia-binary.exe")
-if ($LastExitCode -ne 0) { Throw ("Error on downloading Julia Windows binary") }
-
-# Run installer silently, output to C:\julia10\julia
-Start-Process -Wait "julia-binary.exe" -ArgumentList "/S /D=$JULIA_DIR"
-if ($LastExitCode -ne 0) { Throw ("Error on installing Julia") }
-
-& $JULIA -e "using InteractiveUtils; versioninfo()"
-
-dir
-
-$src='
-    using Pkg
-    Pkg.activate(".\\julia")
-    Pkg.build()
-    Pkg.test()
-'
-
-$src > .\ci-build.jl
-
-# Redirect all stderr output to stdout,
-# since Julia loggers output stuffs to stderr.
-# Then, stderr triggers powershell NativeCommandError.
-& $JULIA .\ci-build.jl 2>&1 | %{ "$_" }
-if ($LastExitCode -eq 1) { Throw ("Error") }
diff --git a/config/distribution/darwin_cpu.cmake b/config/distribution/darwin_cpu.cmake
index 790e18320157..ed295efd33d2 100644
--- a/config/distribution/darwin_cpu.cmake
+++ b/config/distribution/darwin_cpu.cmake
@@ -31,3 +31,4 @@ set(USE_TVM_OP OFF CACHE BOOL "Enable use of TVM operator build system.")
 set(USE_SSE ON CACHE BOOL "Build with x86 SSE instruction support")
 set(USE_F16C OFF CACHE BOOL "Build with x86 F16C instruction support")
 set(USE_LIBJPEG_TURBO ON CACHE BOOL "Build with libjpeg-turbo")
+set(USE_DIST_KVSTORE ON CACHE BOOL "Build with DIST_KVSTORE support")
diff --git a/config/distribution/linux_cpu.cmake b/config/distribution/linux_cpu.cmake
index 15b4f5aa7e59..4579b42fce5c 100644
--- a/config/distribution/linux_cpu.cmake
+++ b/config/distribution/linux_cpu.cmake
@@ -29,3 +29,4 @@ set(USE_TVM_OP OFF CACHE BOOL "Enable use of TVM operator build system.")
 set(USE_SSE ON CACHE BOOL "Build with x86 SSE instruction support")
 set(USE_F16C OFF CACHE BOOL "Build with x86 F16C instruction support")
 set(USE_LIBJPEG_TURBO ON CACHE BOOL "Build with libjpeg-turbo")
+set(USE_DIST_KVSTORE ON CACHE BOOL "Build with DIST_KVSTORE support")
diff --git a/config/distribution/linux_cu100.cmake b/config/distribution/linux_cu100.cmake
index 457a14f89a32..357ccd457593 100644
--- a/config/distribution/linux_cu100.cmake
+++ b/config/distribution/linux_cu100.cmake
@@ -31,6 +31,7 @@ set(USE_TVM_OP OFF CACHE BOOL "Enable use of TVM operator build system.")
 set(USE_SSE ON CACHE BOOL "Build with x86 SSE instruction support")
 set(USE_F16C OFF CACHE BOOL "Build with x86 F16C instruction support")
 set(USE_LIBJPEG_TURBO ON CACHE BOOL "Build with libjpeg-turbo")
+set(USE_DIST_KVSTORE ON CACHE BOOL "Build with DIST_KVSTORE support")
 
 set(CUDACXX "/usr/local/cuda-10.0/bin/nvcc" CACHE STRING "Cuda compiler")
 set(MXNET_CUDA_ARCH "3.0;5.0;6.0;7.0" CACHE STRING "Cuda architectures")
diff --git a/config/distribution/linux_cu101.cmake b/config/distribution/linux_cu101.cmake
index 61089200f31f..29fdda2d6f0a 100644
--- a/config/distribution/linux_cu101.cmake
+++ b/config/distribution/linux_cu101.cmake
@@ -33,6 +33,7 @@ set(USE_TVM_OP OFF CACHE BOOL "Enable use of TVM operator build system.")
 set(USE_SSE ON CACHE BOOL "Build with x86 SSE instruction support")
 set(USE_F16C OFF CACHE BOOL "Build with x86 F16C instruction support")
 set(USE_LIBJPEG_TURBO ON CACHE BOOL "Build with libjpeg-turbo")
+set(USE_DIST_KVSTORE ON CACHE BOOL "Build with DIST_KVSTORE support")
 
 set(CUDACXX "/usr/local/cuda-10.1/bin/nvcc" CACHE STRING "Cuda compiler")
 set(MXNET_CUDA_ARCH "3.0;5.0;6.0;7.0" CACHE STRING "Cuda architectures")
diff --git a/config/distribution/linux_cu102.cmake b/config/distribution/linux_cu102.cmake
index 9701b99a6a1f..4e7e0509e4f9 100644
--- a/config/distribution/linux_cu102.cmake
+++ b/config/distribution/linux_cu102.cmake
@@ -31,6 +31,7 @@ set(USE_TVM_OP OFF CACHE BOOL "Enable use of TVM operator build system.")
 set(USE_SSE ON CACHE BOOL "Build with x86 SSE instruction support")
 set(USE_F16C OFF CACHE BOOL "Build with x86 F16C instruction support")
 set(USE_LIBJPEG_TURBO ON CACHE BOOL "Build with libjpeg-turbo")
+set(USE_DIST_KVSTORE ON CACHE BOOL "Build with DIST_KVSTORE support")
 
 set(CUDACXX "/usr/local/cuda-10.2/bin/nvcc" CACHE STRING "Cuda compiler")
 set(MXNET_CUDA_ARCH "3.0;5.0;6.0;7.0" CACHE STRING "Cuda architectures")
diff --git a/docs/python_docs/_static/mxnet.css b/docs/python_docs/_static/mxnet.css
index 7d4f7f115424..5c04804578c1 100644
--- a/docs/python_docs/_static/mxnet.css
+++ b/docs/python_docs/_static/mxnet.css
@@ -19,10 +19,6 @@
     visibility: hidden;
 }
 
-.document .page-content {
-    padding: 0 10% !important;
-}
-
 .mdl-layout__header--waterfall.is-casting-shadow {
     box-shadow: none !important;
 }
diff --git a/docs/python_docs/python/api/gluon/index.rst b/docs/python_docs/python/api/gluon/index.rst
index abb9072bfbd9..8a8b42549ce8 100644
--- a/docs/python_docs/python/api/gluon/index.rst
+++ b/docs/python_docs/python/api/gluon/index.rst
@@ -96,6 +96,12 @@ Training
 
       Loss functions for training neural networks.
 
+   .. card::
+      :title: gluon.metric
+      :link: metric/index.html
+
+      Metrics to evaluate the performance of a learned model.
+
    .. card::
       :title: gluon.Parameter
       :link: parameter.html
@@ -155,4 +161,4 @@ Utilities
    parameter
    parameter_dict
    trainer
-   */index
\ No newline at end of file
+   */index
diff --git a/docs/python_docs/python/api/metric/index.rst b/docs/python_docs/python/api/gluon/metric/index.rst
similarity index 94%
rename from docs/python_docs/python/api/metric/index.rst
rename to docs/python_docs/python/api/gluon/metric/index.rst
index 4b24d1e703db..8c535973035d 100644
--- a/docs/python_docs/python/api/metric/index.rst
+++ b/docs/python_docs/python/api/gluon/metric/index.rst
@@ -15,9 +15,9 @@
    specific language governing permissions and limitations
    under the License.
 
-mxnet.metric
+gluon.metric
 ============
 
-.. automodule:: mxnet.metric
+.. automodule:: mxnet.gluon.metric
     :members:
     :autosummary:
diff --git a/docs/python_docs/python/api/index.rst b/docs/python_docs/python/api/index.rst
index 47363cf07c5c..0fd831d431c3 100644
--- a/docs/python_docs/python/api/index.rst
+++ b/docs/python_docs/python/api/index.rst
@@ -73,12 +73,6 @@ Gluon related modules
 
       Scheduling the learning rate.
 
-   .. card::
-      :title: mxnet.metric
-      :link: metric/index.html
-
-      Metrics to evaluate the performance of a learned model.
-
    .. card::
       :title: mxnet.kvstore
       :link: kvstore/index.html
@@ -188,13 +182,6 @@ Advanced modules
       Engine properties management.
 
 
-   .. card::
-      :title: mxnet.executor_manager
-      :link: mxnet/executor_manager/index.html
-
-      Executor manager
-
-
    .. card::
       :title: mxnet.rtc
       :link: mxnet/rtc/index.html
diff --git a/docs/python_docs/python/api/mxnet/index.rst b/docs/python_docs/python/api/mxnet/index.rst
index 96f20e683818..def5e276c110 100644
--- a/docs/python_docs/python/api/mxnet/index.rst
+++ b/docs/python_docs/python/api/mxnet/index.rst
@@ -32,7 +32,6 @@ mxnet
     mxnet.contrib
     mxnet.engine
     mxnet.executor
-    mxnet.executor_manager
     mxnet.gluon
     mxnet.image
     mxnet.initializer
diff --git a/docs/python_docs/python/tutorials/getting-started/crash-course/1-ndarray.md b/docs/python_docs/python/tutorials/getting-started/crash-course/1-ndarray.md
index d825eccab944..52835b4451f3 100644
--- a/docs/python_docs/python/tutorials/getting-started/crash-course/1-ndarray.md
+++ b/docs/python_docs/python/tutorials/getting-started/crash-course/1-ndarray.md
@@ -15,107 +15,97 @@
 <!--- specific language governing permissions and limitations -->
 <!--- under the License. -->
 
-# Manipulate data with `ndarray`
+# Step 1: Manipulate data with NP on MXNet
 
-We'll start by introducing the `NDArray`, MXNet’s primary tool for storing and transforming data. If you’ve worked with `NumPy` before, you’ll notice that an NDArray is, by design, similar to NumPy’s multi-dimensional array.
+This getting started exercise introduces the `np` package, which is similar to Numpy. For more information, please see [Differences between NP on MXNet and NumPy](/api/python/docs/tutorials/getting-started/np/np-vs-numpy.html).
 
-## Get started
+## Import packages and create an array
 
-To get started, let's import the `ndarray` package (`nd` is a shorter alias) from MXNet.
 
-```{.python .input  n=1}
-# If you haven't installed MXNet yet, you can uncomment the following line to
-# install the latest stable release
-# !pip install -U mxnet
+To get started, run the following commands to import the `np` package together with the NumPy extensions package `npx`. Together, `np` with `npx` make up the NP on MXNet front end.
 
-from mxnet import nd
+```{.python .input  n=1}
+from mxnet import np, npx
+npx.set_np()  # Activate NumPy-like mode.
 ```
 
-Next, let's see how to create a 2D array (also called a matrix) with values from two sets of numbers: 1, 2, 3 and 4, 5, 6. This might also be referred to as a tuple of a tuple of integers.
+In this step, create a 2D array (also called a matrix). The following code example creates a matrix with values from two sets of numbers: 1, 2, 3 and 4, 5, 6. This might also be referred to as a tuple of a tuple of integers.
 
 ```{.python .input  n=2}
-nd.array(((1,2,3),(5,6,7)))
+np.array(((1,2,3),(5,6,7)))
 ```
 
-We can also create a very simple matrix with the same shape (2 rows by 3 columns), but fill it with 1s.
+You can also create a very simple matrix with the same shape (2 rows by 3 columns), but fill it with 1s.
 
 ```{.python .input  n=3}
-x = nd.ones((2,3))
+x = np.ones((2,3))
 x
 ```
 
-Often we’ll want to create arrays whose values are sampled randomly. For example, sampling values uniformly between -1 and 1. Here we create the same shape, but with random sampling.
+You can create arrays whose values are sampled randomly. For example, sampling values uniformly between -1 and 1. The following code example creates the same shape, but with random sampling.
 
 ```{.python .input  n=15}
-y = nd.random.uniform(-1,1,(2,3))
+y = np.random.uniform(-1,1, (2,3))
 y
 ```
 
-You can also fill an array of a given shape with a given value, such as `2.0`.
-<!-- added to improve multiplication example -->
-
-```{.python .input  n=16}
-x = nd.full((2,3), 2.0)
-x
-```
-
-As with NumPy, the dimensions of each NDArray are accessible by accessing the `.shape` attribute. We can also query its `size`, which is equal to the product of the components of the shape. In addition, `.dtype` tells the data type of the stored values.
+As with NumPy, the dimensions of each ndarray are shown by accessing the `.shape` attribute. As the following code example shows, you can also query for `size`, which is equal to the product of the components of the shape. In addition, `.dtype` tells the data type of the stored values.
 
 ```{.python .input  n=17}
 (x.shape, x.size, x.dtype)
 ```
 
-## Operations
+## Performing operations on an array
 
-NDArray supports a large number of standard mathematical operations, such as element-wise multiplication:
+An ndarray supports a large number of standard mathematical operations. Here are three examples. You can perform element-wise multiplication by using the following code example.
 
 ```{.python .input  n=18}
 x * y
 ```
 
-Exponentiation:
+You can perform exponentiation by using the following code example.
 
 ```{.python .input  n=23}
-y.exp()
+np.exp(y)
 ```
 
-And transposing a matrix to compute a proper matrix-matrix product:
+You can also find a matrix’s transpose to compute a proper matrix-matrix product by using the following code example.
 
 ```{.python .input  n=24}
-nd.dot(x, y.T)
+np.dot(x, y.T)
 ```
 
-## Indexing
+## Indexing an array
 
-MXNet NDArrays support slicing in all the ridiculous ways you might imagine accessing your data. Here’s an example of reading a particular element, which returns a 1D array with shape `(1,)`.
+The ndarrays support slicing in many ways you might want to access your data. The following code example shows how to read a particular element, which returns a 1D array with shape `(1,)`.
 
 ```{.python .input  n=25}
 y[1,2]
 ```
 
-Read the second and third columns from `y`.
+This example shows how to read the second and third columns from `y`.
 
 ```{.python .input  n=26}
 y[:,1:3]
 ```
 
-and write to a specific element.
+This example shows how to write to a specific element.
 
 ```{.python .input  n=27}
 y[:,1:3] = 2
 y
 ```
 
-Multi-dimensional slicing is also supported.
+You can perform multi-dimensional slicing, which is shown in the following code example.
 
 ```{.python .input  n=28}
 y[1:2,0:2] = 4
 y
 ```
 
-## Converting between MXNet NDArray and NumPy
+## Converting between MXNet ndarrays and NumPy ndarrays
 
-Converting MXNet NDArrays to and from NumPy is easy. The converted arrays do not share memory.
+You can convert MXNet ndarrays to and from NumPy ndarrays, as shown in the following example. The converted arrays do not share memory.
 
 ```{.python .input  n=29}
 a = x.asnumpy()
@@ -123,5 +113,9 @@ a = x.asnumpy()
 ```
 
 ```{.python .input  n=30}
-nd.array(a)
+np.array(a)
 ```
+
+## Next steps
+
+Learn how to construct a neural network with the Gluon module: [Step 2: Create a neural network](2-nn.md).
diff --git a/docs/python_docs/python/tutorials/getting-started/crash-course/2-nn.md b/docs/python_docs/python/tutorials/getting-started/crash-course/2-nn.md
index 88bb030ea502..f2ea348d636a 100644
--- a/docs/python_docs/python/tutorials/getting-started/crash-course/2-nn.md
+++ b/docs/python_docs/python/tutorials/getting-started/crash-course/2-nn.md
@@ -15,18 +15,21 @@
 <!--- specific language governing permissions and limitations -->
 <!--- under the License. -->
 
-# Create a neural network
+# Step 2: Create a neural network
 
-Now let's look how to create neural networks in Gluon. In addition the NDArray package (`nd`) that we just covered, we now will also import the neural network `nn` package from `gluon`.
+In this step, you learn how to use NP on MXNet to create neural networks in Gluon. In addition to the `np` package that you learned about in the previous step [Step 1: Manipulate data with NP on MXNet](1-ndarray.md), you also import the neural network `nn` package from `gluon`.
+
+Use the following commands to import the packages required for this step.
 
 ```{.python .input  n=2}
-from mxnet import nd
+from mxnet import np, npx
 from mxnet.gluon import nn
+npx.set_np()  # Change MXNet to the numpy-like mode.
 ```
 
 ## Create your neural network's first layer
 
-Let's start with a dense layer with 2 output units.
+Use the following code example to start with a dense layer with two output units.
 <!-- mention what the none and the linear parts mean? -->
 
 ```{.python .input  n=31}
@@ -34,20 +37,20 @@ layer = nn.Dense(2)
 layer
 ```
 
-Then initialize its weights with the default initialization method, which draws random values uniformly from $[-0.7, 0.7]$.
+Initialize its weights with the default initialization method, which draws random values uniformly from $[-0.7, 0.7]$. You can see this in the following example.
 
 ```{.python .input  n=32}
 layer.initialize()
 ```
 
-Then we do a forward pass with random data. We create a $(3,4)$ shape random input `x` and feed into the layer to compute the output.
+Do a forward pass with random data, shown in the following example. We create a $(3,4)$ shape random input `x` and feed into the layer to compute the output.
 
 ```{.python .input  n=34}
-x = nd.random.uniform(-1,1,(3,4))
+x = np.random.uniform(-1,1,(3,4))
 layer(x)
 ```
 
-As can be seen, the layer's input limit of 2 produced a $(3,2)$ shape output from our $(3,4)$ input. Note that we didn't specify the input size of `layer` before (though we can specify it with the argument `in_units=4` here), the system will automatically infer it during the first time we feed in data, create and initialize the weights. So we can access the weight after the first forward pass:
+As can be seen, the layer's input limit of two produced a $(3,2)$ shape output from our $(3,4)$ input. You didn't specify the input size of `layer` before, though you can specify it with the argument `in_units=4` here. The system  automatically infers it during the first time you feed in data, create, and initialize the weights. You can access the weight after the first forward pass, as shown in this example.
 
 ```{.python .input  n=35}
 layer.weight.data()
@@ -55,7 +58,7 @@ layer.weight.data()
 
 ## Chain layers into a neural network
 
-Let's first consider a simple case that a neural network is a chain of layers. During the forward pass, we run layers sequentially one-by-one. The following code implements a famous network called [LeNet](http://yann.lecun.com/exdb/lenet/) through `nn.Sequential`.
+Consider a simple case where a neural network is a chain of layers. During the forward pass, you run layers sequentially one-by-one. Use the following code to implement a famous network called [LeNet](http://yann.lecun.com/exdb/lenet/) through `nn.Sequential`.
 
 ```{.python .input}
 net = nn.Sequential()
@@ -80,18 +83,18 @@ net
 
 <!--Mention the tuple option for kernel and stride as an exercise for the reader? Or leave it out as too much info for now?-->
 
-The usage of `nn.Sequential` is similar to `nn.Dense`. In fact, both of them are subclasses of `nn.Block`. The following codes show how to initialize the weights and run the forward pass.
+Using `nn.Sequential` is similar to `nn.Dense`. In fact, both of them are subclasses of `nn.Block`. Use the following code to initialize the weights and run the forward pass.
 
 ```{.python .input}
 net.initialize()
 # Input shape is (batch_size, color_channels, height, width)
-x = nd.random.uniform(shape=(4,1,28,28))
+x = np.random.uniform(size=(4,1,28,28))
 y = net(x)
 y.shape
 ```
 
-We can use `[]` to index a particular layer. For example, the following
-accesses the 1st layer's weight and 6th layer's bias.
+You can use `[]` to index a particular layer. For example, the following
+accesses the first layer's weight and sixth layer's bias.
 
 ```{.python .input}
 (net[0].weight.data().shape, net[5].bias.data().shape)
@@ -100,9 +103,9 @@ accesses the 1st layer's weight and 6th layer's bias.
 ## Create a neural network flexibly
 
 In `nn.Sequential`, MXNet will automatically construct the forward function that sequentially executes added layers.
-Now let's introduce another way to construct a network with a flexible forward function.
+Here is another way to construct a network with a flexible forward function.
 
-To do it, we create a subclass of `nn.Block` and implement two methods:
+Create a subclass of `nn.Block` and implement two methods by using the following code.
 
 - `__init__` create the layers
 - `forward` define the forward function.
@@ -117,7 +120,7 @@ class MixMLP(nn.Block):
                      nn.Dense(4, activation='relu'))
         self.dense = nn.Dense(5)
     def forward(self, x):
-        y = nd.relu(self.blk(x))
+        y = npx.relu(self.blk(x))
         print(y)
         return self.dense(y)
 
@@ -125,18 +128,23 @@ net = MixMLP()
 net
 ```
 
-In the sequential chaining approach, we can only add instances with `nn.Block` as the base class and then run them in a forward pass. In this example, we used `print` to get the intermediate results and `nd.relu` to apply relu activation. So this approach provides a more flexible way to define the forward function.
+In the sequential chaining approach, you can only add instances with `nn.Block` as the base class and then run them in a forward pass. In this example, you used `print` to get the intermediate results and `nd.relu` to apply relu activation. This approach provides a more flexible way to define the forward function.
 
-The usage of `net` is similar as before.
+The following code example uses `net` in a similar manner as earlier.
 
 ```{.python .input}
 net.initialize()
-x = nd.random.uniform(shape=(2,2))
+x = np.random.uniform(size=(2,2))
 net(x)
 ```
 
-Finally, let's access a particular layer's weight
+Finally, access a particular layer's weight with this code.
 
 ```{.python .input  n=8}
 net.blk[1].weight.data()
 ```
+
+## Next steps
+
+After you create a neural network, learn how to automatically
+compute the gradients in [Step 3: Automatic differentiation with autograd](3-autograd.md).
diff --git a/docs/python_docs/python/tutorials/getting-started/crash-course/3-autograd.md b/docs/python_docs/python/tutorials/getting-started/crash-course/3-autograd.md
index b7cb9f4dee8b..b959b4deb4a6 100644
--- a/docs/python_docs/python/tutorials/getting-started/crash-course/3-autograd.md
+++ b/docs/python_docs/python/tutorials/getting-started/crash-course/3-autograd.md
@@ -15,49 +15,52 @@
 <!--- specific language governing permissions and limitations -->
 <!--- under the License. -->
 
-# Automatic differentiation with `autograd`
+# Step 3: Automatic differentiation with autograd
 
-We train models to get better and better as a function of experience. Usually, getting better means minimizing a loss function. To achieve this goal, we often iteratively compute the gradient of the loss with respect to weights and then update the weights accordingly. While the gradient calculations are straightforward through a chain rule, for complex models, working it out by hand can be a pain.
+In this step, you learn how to use the MXNet `autograd` package to perform gradient calculations by automatically calculating derivatives.
 
-Before diving deep into the model training, let's go through how MXNet’s `autograd` package expedites this work by automatically calculating derivatives.
+This is helpful because it will help you save time and effort. You train models to get better as a function of experience. Usually, getting better means minimizing a loss function. To achieve this goal, you often iteratively compute the gradient of the loss with respect to weights and then update the weights accordingly. Gradient calculations are straightforward through a chain rule. However, for complex models, working this out manually is challenging.
 
-## Basic usage
+The `autograd` package helps you by automatically calculating derivatives.
 
-Let's first import the `autograd` package.
+## Basic use
+
+To get started, import the `autograd` package as in the following code.
 
 ```{.python .input}
-from mxnet import nd
+from mxnet import np, npx
 from mxnet import autograd
+npx.set_np()
 ```
 
-As a toy example, let’s say that we are interested in differentiating a function $f(x) = 2 x^2$ with respect to parameter $x$. We can start by assigning an initial value of $x$.
+As an example, you could differentiate a function $f(x) = 2 x^2$ with respect to parameter $x$. You can start by assigning an initial value of $x$, as follows:
 
 ```{.python .input  n=3}
-x = nd.array([[1, 2], [3, 4]])
+x = np.array([[1, 2], [3, 4]])
 x
 ```
 
-Once we compute the gradient of $f(x)$ with respect to $x$, we’ll need a place to store it. In MXNet, we can tell an NDArray that we plan to store a gradient by invoking its `attach_grad` method.
+After you compute the gradient of $f(x)$ with respect to $x$, you need a place to store it. In MXNet, you can tell an ndarray that you plan to store a gradient by invoking its `attach_grad` method, shown in the following example.
 
 ```{.python .input  n=6}
 x.attach_grad()
 ```
 
-Now we’re going to define the function $y=f(x)$. To let MXNet store $y$, so that we can compute gradients later, we need to put the definition inside a `autograd.record()` scope.
+Next, define the function $y=f(x)$. To let MXNet store $y$, so that you can compute gradients later, use the following code to put the definition inside an `autograd.record()` scope. 
 
 ```{.python .input  n=7}
 with autograd.record():
     y = 2 * x * x
 ```
 
-Let’s invoke back propagation (backprop) by calling `y.backward()`. When $y$ has more than one entry, `y.backward()` is equivalent to `y.sum().backward()`.
+You can invoke back propagation (backprop) by calling `y.backward()`. When $y$ has more than one entry, `y.backward()` is equivalent to `y.sum().backward()`.
 <!-- I'm not sure what this second part really means. I don't have enough context. TMI?-->
 
 ```{.python .input  n=8}
 y.backward()
 ```
 
-Now, let’s see if this is the expected output. Note that $y=2x^2$ and $\frac{dy}{dx} = 4x$, which should be `[[4, 8],[12, 16]]`. Let's check the automatically computed results:
+Next, verify whether this is the expected output. Note that $y=2x^2$ and $\frac{dy}{dx} = 4x$, which should be `[[4, 8],[12, 16]]`. Check the automatically computed results.
 
 ```{.python .input  n=9}
 x.grad
@@ -65,35 +68,39 @@ x.grad
 
 ## Using Python control flows
 
-Sometimes we want to write dynamic programs where the execution depends on some real-time values. MXNet will record the execution trace and compute the gradient as well.
+Sometimes you want to write dynamic programs where the execution depends on real-time values. MXNet records the execution trace and computes the gradient as well.
 
-Consider the following function `f`: it doubles the inputs until it's `norm` reaches 1000. Then it selects one element depending on the sum of its elements.
+Consider the following function `f` in the following example code. The function doubles the inputs until its `norm` reaches 1000. Then it selects one element depending on the sum of its elements. 
 <!-- I wonder if there could be another less "mathy" demo of this -->
 
 ```{.python .input}
 def f(a):
     b = a * 2
-    while b.norm().asscalar() < 1000:
+    while np.abs(b).sum() < 1000:
         b = b * 2
-    if b.sum().asscalar() >= 0:
+    if b.sum() >= 0:
         c = b[0]
     else:
         c = b[1]
     return c
 ```
 
-We record the trace and feed in a random value:
+In this example, you record the trace and feed in a random value.
 
 ```{.python .input}
-a = nd.random.uniform(shape=2)
+a = np.random.uniform(size=2)
 a.attach_grad()
 with autograd.record():
     c = f(a)
 c.backward()
 ```
 
-We know that `b` is a linear function of `a`, and `c` is chosen from `b`. Then the gradient with respect to `a` be will be either `[c/a[0], 0]` or `[0, c/a[1]]`, depending on which element from `b` we picked. Let's find the results:
+You can see that `b` is a linear function of `a`, and `c` is chosen from `b`. The gradient with respect to `a` be will be either `[c/a[0], 0]` or `[0, c/a[1]]`, depending on which element from `b` is picked. You see the results of this example with this code:
 
 ```{.python .input}
-[a.grad, c/a]
+a.grad == c/a
 ```
+
+## Next Steps
+
+After you have used `autograd`, learn about training a neural network. See [Step 4: Train the neural network](4-train.md).
diff --git a/docs/python_docs/python/tutorials/getting-started/crash-course/4-train.md b/docs/python_docs/python/tutorials/getting-started/crash-course/4-train.md
index 3a7f0d090bdf..ec3a07e52057 100644
--- a/docs/python_docs/python/tutorials/getting-started/crash-course/4-train.md
+++ b/docs/python_docs/python/tutorials/getting-started/crash-course/4-train.md
@@ -15,37 +15,37 @@
 <!--- specific language governing permissions and limitations -->
 <!--- under the License. -->
 
-# Train the neural network
+# Step 4: Train the neural network
 
-In this section, we will discuss how to train the previously defined network with data. We first import the libraries. The new ones are `mxnet.init` for more weight initialization methods, the `datasets` and `transforms` to load and transform computer vision datasets, `matplotlib` for drawing, and `time` for benchmarking.
+In this step, you learn how to train the previously defined network with data. First, import the libraries. The new ones are `mxnet.init` for more weight initialization methods. Import the `datasets` and `transforms` to load and transform computer vision datasets. Import  `matplotlib` for drawing, and `time` for benchmarking. The example command here shows this.
 
 ```{.python .input  n=1}
 # Uncomment the following line if matplotlib is not installed.
 # !pip install matplotlib
 
-from mxnet import nd, gluon, init, autograd
+from mxnet import np, npx, gluon, init, autograd
 from mxnet.gluon import nn
-from mxnet.gluon.data.vision import datasets, transforms
 from IPython import display
 import matplotlib.pyplot as plt
 import time
+npx.set_np()
 ```
 
 ## Get data
 
-The handwritten digit MNIST dataset is one of the most commonly used datasets in deep learning. But it is too simple to get a 99% accuracy. Here we use a similar but slightly more complicated dataset called FashionMNIST. The goal is no longer to classify numbers, but clothing types instead.
+The handwritten digit, MNIST dataset is one of the most commonly used datasets in deep learning. However, it's too simple to get 99 percent accuracy. For this tutorial, you use a similar but slightly more complicated dataset called FashionMNIST. The end-goal is to classify clothing types.
 
 The dataset can be automatically downloaded through Gluon's `data.vision.datasets` module. The following code downloads the training dataset and shows the first example.
 
 ```{.python .input  n=2}
-mnist_train = datasets.FashionMNIST(train=True)
+mnist_train = gluon.data.vision.datasets.FashionMNIST(train=True)
 X, y = mnist_train[0]
 ('X shape: ', X.shape, 'X dtype', X.dtype, 'y:', y)
 ```
 
-Each example in this dataset is a $28\times 28$ size grey image, which is presented as NDArray with the shape format of `(height, width, channel)`.  The label is a `numpy` scalar.
+Each example in this dataset is a $28\times 28$ size grey image, which is presented as ndarray with the shape format of `(height, width, channel)`.  The label is a `numpy` scalar.
 
-Next, we visualize the first ten examples.
+Next, visualize the first six examples.
 
 ```{.python .input  n=3}
 text_labels = ['t-shirt', 'trouser', 'pullover', 'dress', 'coat',
@@ -54,7 +54,7 @@ X, y = mnist_train[0:10]
 # plot images
 display.set_matplotlib_formats('svg')
 _, figs = plt.subplots(1, X.shape[0], figsize=(15, 15))
-for f,x,yi in zip(figs, X,y):
+for f, x, yi in zip(figs, X, y):
     # 3D->2D by removing the last channel dim
     f.imshow(x.reshape((28,28)).asnumpy())
     ax = f.axes
@@ -65,16 +65,16 @@ for f,x,yi in zip(figs, X,y):
 plt.show()
 ```
 
-In order to feed data into a Gluon model, we need to convert the images to the `(channel, height, width)` format with a floating point data type. It can be done by `transforms.ToTensor`. In addition, we normalize all pixel values with `transforms.Normalize` with the real mean 0.13 and standard deviation 0.31. We chain these two transforms together and apply it to the first element of the data pair, namely the images.
+In order to feed data into a Gluon model, convert the images to the `(channel, height, width)` format with a floating point data type. It can be done by `transforms.ToTensor`. In addition, normalize all pixel values with `transforms.Normalize` with the real mean 0.13 and standard deviation 0.31. You can chain these two transforms together and apply it to the first element of the data pair, namely the images.
 
 ```{.python .input  n=4}
-transformer = transforms.Compose([
-    transforms.ToTensor(),
-    transforms.Normalize(0.13, 0.31)])
+transformer = gluon.data.vision.transforms.Compose([
+    gluon.data.vision.transforms.ToTensor(),
+    gluon.data.vision.transforms.Normalize(0.13, 0.31)])
 mnist_train = mnist_train.transform_first(transformer)
 ```
 
-`FashionMNIST` is a subclass of `gluon.data.Dataset`, which defines how to get the `i`-th example. In order to use it in training, we need to get a (randomized) batch of examples. It can be easily done by `gluon.data.DataLoader`. Here we use four works to process data in parallel, which is often necessary especially for complex data transforms.
+`FashionMNIST` is a subclass of `gluon.data.Dataset`, which defines how to get the `i`-th example. In order to use it in training, you need to get a (randomized) batch of examples. Do this by using `gluon.data.DataLoader`. The example here uses four works to process data in parallel, which is often necessary especially for complex data transforms.
 
 ```{.python .input  n=5}
 batch_size = 256
@@ -90,18 +90,18 @@ for data, label in train_data:
     break
 ```
 
-Finally, we create a validation dataset and data loader.
+Finally, create a validation dataset and data loader.
 
 ```{.python .input  n=7}
 mnist_valid = gluon.data.vision.FashionMNIST(train=False)
 valid_data = gluon.data.DataLoader(
     mnist_valid.transform_first(transformer),
-	batch_size=batch_size, num_workers=4)
+    batch_size=batch_size, num_workers=4)
 ```
 
 ## Define the model
 
-We reimplement the same LeNet introduced before. One difference here is that we changed the weight initialization method to `Xavier`, which is a popular choice for deep convolutional neural networks.
+Implement the network called [LeNet](http://yann.lecun.com/exdb/lenet/). One difference here is that you change the weight initialization method to `Xavier`, which is a popular choice for deep convolutional neural networks.
 
 ```{.python .input  n=8}
 net = nn.Sequential()
@@ -109,40 +109,38 @@ net.add(nn.Conv2D(channels=6, kernel_size=5, activation='relu'),
         nn.MaxPool2D(pool_size=2, strides=2),
         nn.Conv2D(channels=16, kernel_size=3, activation='relu'),
         nn.MaxPool2D(pool_size=2, strides=2),
-        nn.Flatten(),
         nn.Dense(120, activation="relu"),
         nn.Dense(84, activation="relu"),
         nn.Dense(10))
 net.initialize(init=init.Xavier())
 ```
 
-Besides the neural network, we need to define the loss function and optimization method for training. We will use standard softmax cross entropy loss for classification problems. It first performs softmax on the output to obtain the predicted probability, and then compares the label with the cross entropy.
+In addition to the neural network, define the loss function and optimization method for training. Use standard softmax cross entropy loss for classification problems. It first performs softmax on the output to obtain the predicted probability, and then compares the label with the cross entropy.
 
 ```{.python .input  n=9}
 softmax_cross_entropy = gluon.loss.SoftmaxCrossEntropyLoss()
 ```
 
-The optimization method we pick is the standard stochastic gradient descent with constant learning rate of 0.1.
+The optimization method you pick is the standard stochastic gradient descent with constant learning rate of 0.1.
 
 ```{.python .input  n=10}
 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.1})
 ```
 
-The `trainer` is created with all parameters (both weights and gradients) in `net`. Later on, we only need to call the `step` method to update its weights.
+The `trainer` is created with all parameters (both weights and gradients) in `net`. Later on, you only need to call the `step` method to update its weights.
 
-## Train
+## Train the model
 
-We create an auxiliary function to calculate the model accuracy.
+Create an auxiliary function to calculate the model accuracy. 
 
 ```{.python .input  n=11}
 def acc(output, label):
     # output: (batch, num_output) float32 ndarray
     # label: (batch, ) int32 ndarray
-    return (output.argmax(axis=1) ==
-            label.astype('float32')).mean().asscalar()
+    return (output.argmax(axis=1) == label.astype('float32')).mean()
 ```
 
-Now we can implement the complete training loop.
+Implement the complete training loop.
 
 ```{.python .input  n=12}
 for epoch in range(10):
@@ -157,7 +155,7 @@ for epoch in range(10):
         # update parameters
         trainer.step(batch_size)
         # calculate training metrics
-        train_loss += loss.mean().asscalar()
+        train_loss += loss.mean()
         train_acc += acc(output, label)
     # calculate validation accuracy
     for data, label in valid_data:
@@ -169,8 +167,12 @@ for epoch in range(10):
 
 ## Save the model
 
-Finally, we save the trained parameters onto disk, so that we can use them later.
+Finally, save the trained parameters onto disk, so that you can use them later.
 
 ```{.python .input  n=13}
 net.save_parameters('net.params')
 ```
+
+## Next Steps
+
+After the model is trained and saved, learn how to use it to predict new examples: [Step 5: Predict with a pretrained model](5-predict.md).
diff --git a/docs/python_docs/python/tutorials/getting-started/crash-course/5-predict.md b/docs/python_docs/python/tutorials/getting-started/crash-course/5-predict.md
index 5141ae39acb4..a0b948a8d67c 100644
--- a/docs/python_docs/python/tutorials/getting-started/crash-course/5-predict.md
+++ b/docs/python_docs/python/tutorials/getting-started/crash-course/5-predict.md
@@ -15,24 +15,23 @@
 <!--- specific language governing permissions and limitations -->
 <!--- under the License. -->
 
-# Predict with a pre-trained model
+# Step 5: Predict with a pretrained model
 
-A saved model can be used in multiple places, such as to continue training, to fine tune the model, and for prediction. In this tutorial we will discuss how to predict new examples using a pretrained model.
+In this step, you learn how to predict new examples using a pretrained model. A saved model can be used in multiple places, such as to continue training, to fine tune the model, and for prediction.
 
 ## Prerequisites
 
-Please run the [previous tutorial](4-train.html) to train the network and save its parameters to file. You will need this file to run the following steps.
+Before you begin the procedures here, run :label:`crash_course_train` to train the network and save its parameters to file. You use this file to run the following steps.
 
 ```{.python .input  n=1}
-from mxnet import nd
-from mxnet import gluon
+from mxnet import np, npx, gluon, image
 from mxnet.gluon import nn
-from mxnet.gluon.data.vision import datasets, transforms
 from IPython import display
 import matplotlib.pyplot as plt
+npx.set_np()
 ```
 
-To start, we will copy a simple model's definition.
+To start, copy a simple model's definition by using the following code.
 
 ```{.python .input  n=2}
 net = nn.Sequential()
@@ -40,13 +39,12 @@ net.add(nn.Conv2D(channels=6, kernel_size=5, activation='relu'),
         nn.MaxPool2D(pool_size=2, strides=2),
         nn.Conv2D(channels=16, kernel_size=3, activation='relu'),
         nn.MaxPool2D(pool_size=2, strides=2),
-        nn.Flatten(),
         nn.Dense(120, activation="relu"),
         nn.Dense(84, activation="relu"),
         nn.Dense(10))
 ```
 
-In the last section, we saved all parameters into a file, now let's load it back.
+In the previous step, you saved all parameters to a file. Now load it back.
 
 ```{.python .input  n=3}
 net.load_parameters('net.params')
@@ -54,37 +52,37 @@ net.load_parameters('net.params')
 
 ## Predict
 
-Remember the data transformation we did for training? Now we need the same transformation for predicting.
+Remember the data transformation you did for the training step? The following code provides the same transformation for predicting.
 
 ```{.python .input  n=4}
-transformer = transforms.Compose([
-    transforms.ToTensor(),
-    transforms.Normalize(0.13, 0.31)])
+transformer = gluon.data.vision.transforms.Compose([
+    gluon.data.vision.transforms.ToTensor(),
+    gluon.data.vision.transforms.Normalize(0.13, 0.31)])
 ```
 
-Now let's try to predict the first ten images in the validation dataset and store the predictions into `preds`.
+Use the following code to predict the first six images in the validation dataset and store the predictions into `preds`.
 
 ```{.python .input  n=5}
-mnist_valid = datasets.FashionMNIST(train=False)
+mnist_valid = gluon.data.vision.datasets.FashionMNIST(train=False)
 X, y = mnist_valid[:10]
 preds = []
 for x in X:
-    x = transformer(x).expand_dims(axis=0)
+    x = np.expand_dims(transformer(x), axis=0)
     pred = net(x).argmax(axis=1)
-    preds.append(pred.astype('int32').asscalar())
+    preds.append(int(pred))
 ```
 
-Finally, we visualize the images and compare the prediction with the ground truth.
+Finally, use the following code to visualize the images and compare the prediction with the ground truth.
 
 ```{.python .input  n=15}
 _, figs = plt.subplots(1, 10, figsize=(15, 15))
 text_labels = ['t-shirt', 'trouser', 'pullover', 'dress', 'coat',
                'sandal', 'shirt', 'sneaker', 'bag', 'ankle boot']
 display.set_matplotlib_formats('svg')
-for f,x,yi,pyi in zip(figs, X, y, preds):
+for f, x, yi, pyi in zip(figs, X, y, preds):
     f.imshow(x.reshape((28,28)).asnumpy())
     ax = f.axes
-    ax.set_title(text_labels[yi]+'\n'+text_labels[pyi])
+    ax.set_title(text_labels[int(yi)]+'\n'+text_labels[pyi])
     ax.title.set_fontsize(14)
     ax.get_xaxis().set_visible(False)
     ax.get_yaxis().set_visible(False)
@@ -94,39 +92,35 @@ plt.show()
 ## Predict with models from Gluon model zoo
 
 
-The LeNet trained on FashionMNIST is a good example to start with, but too simple to predict real-life pictures. Instead of training large-scale model from scratch, [Gluon model zoo](https://mxnet.apache.org/api/python/gluon/model_zoo.html) provides multiple pre-trained powerful models. For example, we can download and load a pre-trained ResNet-50 V2 model that was trained on the ImageNet dataset.
+The LeNet, trained on FashionMNIST, is a good example to start with. However, it's too simple to predict real-life pictures. In order to save the time and effort of training a large-scale model from scratch, the [Gluon model zoo](https://mxnet.incubator.apache.org/api/python/gluon/model_zoo.html) provides multiple pre-trained models. For example, with the following code example, you can download a pre-trained ResNet-50 V2 model that was trained on the ImageNet dataset.
 
 ```{.python .input  n=7}
-from mxnet.gluon.model_zoo import vision as models
-from mxnet.gluon.utils import download
-from mxnet import image
-
-net = models.resnet50_v2(pretrained=True)
+net = gluon.model_zoo.vision.resnet50_v2(pretrained=True)
 ```
 
-We also download and load the text labels for each class.
+You'll also need to download the text labels for each class, as in the following example.
 
 ```{.python .input  n=8}
 url = 'http://data.mxnet.io/models/imagenet/synset.txt'
-fname = download(url)
+fname = gluon.utils.download(url)
 with open(fname, 'r') as f:
     text_labels = [' '.join(l.split()[1:]) for l in f]
 ```
 
-We randomly pick a dog image from Wikipedia as a test image, download and read it.
+The following example shows how to select a dog image from Wikipedia as a test, download and read it.
 
 ```{.python .input  n=9}
 url = 'https://upload.wikimedia.org/wikipedia/commons/thumb/b/b5/\
 Golden_Retriever_medium-to-light-coat.jpg/\
 365px-Golden_Retriever_medium-to-light-coat.jpg'
-fname = download(url)
-x = image.imread(fname)
+fname = gluon.utils.download(url)
+x = image.imread(fname)  # TODO, use npx.image instead
 ```
 
-Following the conventional way of preprocessing ImageNet data:
+Following the conventional way of preprocessing ImageNet data, do the following:
 
-1. Resize the short edge into 256 pixes,
-2. And then perform a center crop to obtain a 224-by-224 image.
+1. Resize the short edge into 256 pixes.
+2. Perform a center crop to obtain a 224-by-224 image.
 
 ```{.python .input  n=10}
 x = image.resize_short(x, 256)
@@ -135,27 +129,31 @@ plt.imshow(x.asnumpy())
 plt.show()
 ```
 
-Now you may know it is a golden retriever (You can also infer it from the image URL).
+Now you can see it is a golden retriever. You can also infer it from the image URL.
 
-The futher data transformation is similar to FashionMNIST except that we subtract the RGB means and divide by the corresponding variances to normalize each color channel.
+The next data transformation is similar to FashionMNIST. Here, you subtract the RGB means and divide by the corresponding variances to normalize each color channel.
 
 ```{.python .input  n=11}
 def transform(data):
-    data = data.transpose((2,0,1)).expand_dims(axis=0)
-    rgb_mean = nd.array([0.485, 0.456, 0.406]).reshape((1,3,1,1))
-    rgb_std = nd.array([0.229, 0.224, 0.225]).reshape((1,3,1,1))
+    data = np.expand_dims(np.transpose(data, (2,0,1)), axis=0)
+    rgb_mean = np.array([0.485, 0.456, 0.406]).reshape((1,3,1,1))
+    rgb_std = np.array([0.229, 0.224, 0.225]).reshape((1,3,1,1))
     return (data.astype('float32') / 255 - rgb_mean) / rgb_std
 ```
 
-Now we can recognize the object in the image now. We perform an additional softmax on the output to obtain probability scores. And then print the top-5 recognized objects.
+Now you can recognize the object in the image. Perform an additional softmax on the output to obtain probability scores. Print the top-5 recognized objects.
 
 ```{.python .input  n=12}
-prob = net(transform(x)).softmax()
-idx = prob.topk(k=5)[0]
+prob = npx.softmax(net(transform(x)))
+idx = npx.topk(prob, k=5)[0]
 for i in idx:
-    i = int(i.asscalar())
     print('With prob = %.5f, it contains %s' % (
-        prob[0,i].asscalar(), text_labels[i]))
+        prob[0, int(i)], text_labels[int(i)]))
 ```
 
-As can be seen, the model is fairly confident the image contains a golden retriever.
+As can be seen, the model is fairly confident that the image contains a golden retriever.
+
+## Next Steps
+
+You might find that both training and prediction are a little bit slow. If you have a GPU
+available, learn how to accomplish your tasks faster in [Step 6: Use GPUs to increase efficiency](6-use_gpus.md).
diff --git a/docs/python_docs/python/tutorials/getting-started/crash-course/6-use_gpus.md b/docs/python_docs/python/tutorials/getting-started/crash-course/6-use_gpus.md
index fc457ea7dc33..6f9cc5d3c1d9 100644
--- a/docs/python_docs/python/tutorials/getting-started/crash-course/6-use_gpus.md
+++ b/docs/python_docs/python/tutorials/getting-started/crash-course/6-use_gpus.md
@@ -15,60 +15,60 @@
 <!--- specific language governing permissions and limitations -->
 <!--- under the License. -->
 
-# Use GPUs
+# Step 6: Use GPUs to increase efficiency
 
-We often use GPUs to train and deploy neural networks, because it offers significant more computation power compared to CPUs. In this tutorial we will introduce how to use GPUs with MXNet.
+In this step, you learn how to use graphics processing units (GPUs) with MXNet. If you use GPUs to train and deploy neural networks, you get significantly more computational power when compared to central processing units (CPUs).
 
-First, make sure you have at least one Nvidia GPU in your machine and CUDA
-properly installed. Other GPUs such as AMD and Intel GPUs are not supported
-yet. Then be sure you have installed the GPU-enabled version of MXNet.
+## Prerequisites
 
-```{.python .input  n=15}
-# If you pip installed the plain `mxnet` before, uncomment the
-# following two lines to install the GPU version. You may need to
-# replace `cu92` according to your CUDA version.
-# !pip uninstall mxnet
-# !pip install mxnet-cu92
+Before you start the other steps here, make sure you have at least one Nvidia GPU in your machine and CUDA properly installed. GPUs from AMD and Intel are not supported. Install the GPU-enabled version of MXNet.
 
-from mxnet import nd, gpu, gluon, autograd
+Use the following commands to check the number GPUs that are available.
+
+```{.python .input  n=2}
+from mxnet import np, npx, gluon, autograd
 from mxnet.gluon import nn
-from mxnet.gluon.data.vision import datasets, transforms
 import time
+npx.set_np()
+
+npx.num_gpus()
 ```
 
 ## Allocate data to a GPU
 
-You may notice that MXNet's NDArray is very similar to Numpy. One major difference is NDArray has a `context` attribute that specifies which device this array is on. By default, it is `cpu()`. Now we will change it to the first GPU. You can use `gpu()` or `gpu(0)` to indicate the first GPU.
+MXNet's ndarray is very similar to NumPy. One major difference is MXNet's ndarray has a `context` attribute that specifies which device an array is on. By default, it is on `npx.cpu()`. Change it to the first GPU with the following code. Use `npx.gpu()` or `npx.gpu(0)` to indicate the first GPU.
 
 ```{.python .input  n=10}
-x = nd.ones((3,4), ctx=gpu())
+gpu = npx.gpu() if npx.num_gpus() > 0 else npx.cpu()
+x = np.ones((3,4), ctx=gpu)
 x
 ```
 
-For a CPU, MXNet will allocate data on main memory, and try to use all CPU cores as possible, even if there is more than one CPU socket. While if there are multiple GPUs, MXNet needs to specify which GPUs the NDArray will be allocated.
+If you're using a CPU, MXNet allocates data on main memory and tries to use as many CPU cores as possible.  This is true even if there is more than one CPU socket. If there are multiple GPUs, MXNet specifies which GPUs the ndarray is allocated.
 
-Let's assume there is a least one more GPU. We can create another NDArray and assign it there. (If you only have one GPU, then you will see an error). Here we copy `x` to the second GPU, `gpu(1)`:
+Assume there is a least one more GPU. Create another ndarray and assign it there. If you only have one GPU, then you get an error. In the example code here, you copy `x` to the second GPU, `npx.gpu(1)`:
 
 ```{.python .input  n=11}
-x.copyto(gpu(1))
+gpu_1 = npx.gpu(1) if npx.num_gpus() > 1 else npx.cpu()
+x.copyto(gpu_1)
 ```
 
-MXNet needs users to explicitly move data between devices. But several operators such as `print`, `asnumpy` and `asscalar`, will implicitly move data to main memory.
+MXNet requries that users explicitly move data between devices. But several operators such as `print`, and `asnumpy`, will implicitly move data to main memory.
 
 ## Run an operation on a GPU
 
-To perform an operation on a particular GPU, we only need to guarantee that the inputs of this operation are already on that GPU. The output will be allocated on the same GPU as well. Almost all operators in the `nd` module support running on a GPU.
+To perform an operation on a particular GPU, you only need to guarantee that the input of an operation is already on that GPU. The output is allocated on the same GPU as well. Almost all operators in the `np` and `npx` module support running on a GPU.
 
 ```{.python .input  n=21}
-y = nd.random.uniform(shape=(3,4), ctx=gpu())
+y = np.random.uniform(size=(3,4), ctx=gpu)
 x + y
 ```
 
-Remember that if the inputs are not on the same GPU, you will see an error.
+Remember that if the inputs are not on the same GPU, you get an error.
 
 ## Run a neural network on a GPU
 
-Similarly, to run a neural network on a GPU, we only need to copy/move the input data and parameters to the GPU. Let's reuse the previously defined LeNet.
+To run a neural network on a GPU, you only need to copy and move the input data and parameters to the GPU. Reuse the previously defined LeNet. The following code example shows this.
 
 ```{.python .input  n=16}
 net = nn.Sequential()
@@ -76,51 +76,50 @@ net.add(nn.Conv2D(channels=6, kernel_size=5, activation='relu'),
         nn.MaxPool2D(pool_size=2, strides=2),
         nn.Conv2D(channels=16, kernel_size=3, activation='relu'),
         nn.MaxPool2D(pool_size=2, strides=2),
-        nn.Flatten(),
         nn.Dense(120, activation="relu"),
         nn.Dense(84, activation="relu"),
         nn.Dense(10))
 ```
 
-And then load the saved parameters into GPU 0 directly, or use `net.reset_ctx` to change the device.
+Load the saved parameters into GPU 0 directly as shown here, or use `net.collect_params().reset_ctx` to change the device.
 
 ```{.python .input  n=20}
-net.load_parameters('net.params', ctx=gpu(0))
+net.load_parameters('net.params', ctx=gpu)
 ```
 
-Now create input data on GPU 0. The forward function will then run on GPU 0.
+Use the following command to create input data on GPU 0. The forward function will then run on GPU 0.
 
 ```{.python .input  n=22}
-x = nd.random.uniform(shape=(1,1,28,28), ctx=gpu(0))
-net(x)
+# x = np.random.uniform(size=(1,1,28,28), ctx=gpu)
+# net(x) FIXME
 ```
 
-## [Advanced] Multi-GPU training
+## Training with multiple GPUs
 
-Finally, we show how to use multiple GPUs to jointly train a neural network through data parallelism. Let's assume there are *n* GPUs. We split each data batch into *n* parts, and then each GPU will run the forward and backward passes using one part of the data.
+Finally, you can see how to use multiple GPUs to jointly train a neural network through data parallelism. Assume there are *n* GPUs. Split each data batch into *n* parts, and then each GPU will run the forward and backward passes using one part of the data.
 
-Let's first copy the data definitions and the transform function from the [previous tutorial](5-predict.html).
+First copy the data definitions with the following commands, and the transform function from the [Predict tutorial](5-predict.md).
 
 ```{.python .input}
 batch_size = 256
-transformer = transforms.Compose([
-    transforms.ToTensor(),
-    transforms.Normalize(0.13, 0.31)])
+transformer = gluon.data.vision.transforms.Compose([
+    gluon.data.vision.transforms.ToTensor(),
+    gluon.data.vision.transforms.Normalize(0.13, 0.31)])
 train_data = gluon.data.DataLoader(
-    datasets.FashionMNIST(train=True).transform_first(transformer),
-    batch_size, shuffle=True, num_workers=4)
+    gluon.data.vision.datasets.FashionMNIST(train=True).transform_first(
+        transformer), batch_size, shuffle=True, num_workers=4)
 valid_data = gluon.data.DataLoader(
-    datasets.FashionMNIST(train=False).transform_first(transformer),
-    batch_size, shuffle=False, num_workers=4)
+    gluon.data.vision.datasets.FashionMNIST(train=False).transform_first(
+        transformer), batch_size, shuffle=False, num_workers=4)
 ```
 
-The training loop is quite similar to what we introduced before. The major differences are highlighted in the following code.
+The training loop is quite similar to that shown earlier. The major differences are highlighted in the following code.
 
 ```{.python .input}
 # Diff 1: Use two GPUs for training.
-devices = [gpu(0), gpu(1)]
+devices = [gpu, gpu_1]
 # Diff 2: reinitialize the parameters and place them on multiple GPUs
-net.initialize(force_reinit=True, ctx=devices)
+net.collect_params().initialize(force_reinit=True, ctx=devices)
 # Loss and trainer are the same as before
 softmax_cross_entropy = gluon.loss.SoftmaxCrossEntropyLoss()
 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.1})
@@ -139,8 +138,14 @@ for epoch in range(10):
         for l in losses:
             l.backward()
         trainer.step(batch_size)
-        # Diff 5: sum losses over all devices
-        train_loss += sum([l.sum().asscalar() for l in losses])
+        # Diff 5: sum losses over all devices. Here float will copy data
+        # into CPU.
+        train_loss += sum([float(l.sum()) for l in losses])
     print("Epoch %d: loss %.3f, in %.1f sec" % (
         epoch, train_loss/len(train_data)/batch_size, time.time()-tic))
 ```
+
+## Next steps
+
+Now you have completed training and predicting with a neural network by using NP on MXNet and
+Gluon. You can check the guides to these two front ends: [What is NP on MXNet](../np/index.html) and [gluon](../gluon_from_experiment_to_deployment.md).
diff --git a/docs/python_docs/python/tutorials/getting-started/crash-course/index.rst b/docs/python_docs/python/tutorials/getting-started/crash-course/index.rst
index 124c94ae0814..b9a86e0978c9 100644
--- a/docs/python_docs/python/tutorials/getting-started/crash-course/index.rst
+++ b/docs/python_docs/python/tutorials/getting-started/crash-course/index.rst
@@ -1,27 +1,8 @@
-.. Licensed to the Apache Software Foundation (ASF) under one
-   or more contributor license agreements.  See the NOTICE file
-   distributed with this work for additional information
-   regarding copyright ownership.  The ASF licenses this file
-   to you under the Apache License, Version 2.0 (the
-   "License"); you may not use this file except in compliance
-   with the License.  You may obtain a copy of the License at
-
-     http://www.apache.org/licenses/LICENSE-2.0
-
-   Unless required by applicable law or agreed to in writing,
-   software distributed under the License is distributed on an
-   "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-   KIND, either express or implied.  See the License for the
-   specific language governing permissions and limitations
-   under the License.
-
-Crash Course
+Getting started with NP on MXNet
 ============
 
-This crash course will give you a quick overview of the core concept of NDArray
-(manipulating multiple dimensional arrays) and Gluon (create and train neural
-networks). This is a good place to start if you are already familiar with
-machine learning or other deep learning frameworks.
+This crash course shows how to get started with NP on MXNet. The topics here provide a quick overview of the core concepts for both NP on MXNet, which helps you manipulate multiple dimensional arrays, and Gluon, which helps you create and train neural
+networks. This is a good place to start if you are already familiar with machine learning or other deep learning frameworks.
 
 .. toctree::
    :maxdepth: 1
@@ -33,20 +14,3 @@ machine learning or other deep learning frameworks.
    4-train
    5-predict
    6-use_gpus
-
-
-..
-   # add back the videos until apis are updated.
-   You can also watch the video tutorials for this crash course. Note that two APIs
-   described in vidoes have changes:
-
-   - ``with name_scope`` is not necessary any more.
-   - use ``save_parameters/load_parameters`` instead of ``save_params/load_params``
-
-   .. raw:: html
-
-      <style> iframe {width: 448px; height: 252px; margin: 1em 0;} </style>
-
-      <iframe src="https://www.youtube.com/embed/r4-Ynxw0X5w" frameborder="0"
-      allow="accelerometer; autoplay; encrypted-media; gyroscope;
-      picture-in-picture" allowfullscreen></iframe>
diff --git a/docs/python_docs/python/tutorials/getting-started/index.rst b/docs/python_docs/python/tutorials/getting-started/index.rst
index 9402f14061d6..dce53ee01319 100644
--- a/docs/python_docs/python/tutorials/getting-started/index.rst
+++ b/docs/python_docs/python/tutorials/getting-started/index.rst
@@ -28,6 +28,12 @@ The following tutorials teach how to use MXNet.
 
       A quick overview of the core concepts of MXNet using the Gluon API.
 
+   .. card::
+      :title: What is NP on MXNet
+      :link: np/index.html
+
+      What is NP on MXNet
+
    .. card::
       :title: Moving from other frameworks
       :link: to-mxnet/index.html
@@ -57,6 +63,7 @@ The following tutorials teach how to use MXNet.
    :maxdepth: 2
 
    crash-course/index
+   np/index
    to-mxnet/index
    gluon_from_experiment_to_deployment
    logistic_regression_explained.md
diff --git a/docs/python_docs/python/tutorials/getting-started/np/cheat-sheet.md b/docs/python_docs/python/tutorials/getting-started/np/cheat-sheet.md
new file mode 100644
index 000000000000..7f4d82605653
--- /dev/null
+++ b/docs/python_docs/python/tutorials/getting-started/np/cheat-sheet.md
@@ -0,0 +1,463 @@
+<!--- Licensed to the Apache Software Foundation (ASF) under one -->
+<!--- or more contributor license agreements.  See the NOTICE file -->
+<!--- distributed with this work for additional information -->
+<!--- regarding copyright ownership.  The ASF licenses this file -->
+<!--- to you under the Apache License, Version 2.0 (the -->
+<!--- "License"); you may not use this file except in compliance -->
+<!--- with the License.  You may obtain a copy of the License at -->
+
+<!---   http://www.apache.org/licenses/LICENSE-2.0 -->
+
+<!--- Unless required by applicable law or agreed to in writing, -->
+<!--- software distributed under the License is distributed on an -->
+<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
+<!--- KIND, either express or implied.  See the License for the -->
+<!--- specific language governing permissions and limitations -->
+<!--- under the License. -->
+
+# The NP on MXNet cheat sheet
+
+To begin, import the `np` and `npx` module and update MXNet to run in
+NumPy-like mode.
+
+```{.python .input  n=1}
+from mxnet import np, npx
+npx.set_np()  # Change MXNet to the numpy-like mode.
+```
+
+NDArray figure (TODO)
+
+## Creating arrays
+
+```{.python .input  n=2}
+np.array([1, 2, 3])  # default datatype is float32
+```
+
+```{.python .input  n=3}
+np.array([(1.5, 2, 3), (4, 5, 6)], dtype='float16')
+```
+
+```{.python .input  n=4}
+np.array([[(15,2,3), (4,5,6)], [(3,2,1), (4,5,6)]], dtype='int32')
+```
+
+### Initial placeholders
+
+```{.python .input  n=5}
+np.zeros((3, 4))  # Create an array of zeros
+```
+
+```{.python .input  n=6}
+np.ones((2, 3, 4), dtype='int8')  # Create an array of ones
+```
+
+```{.python .input  n=7}
+np.arange(10, 25, 5)  # Create an array of evenly spaced values (step value)
+```
+
+```{.python .input  n=8}
+# Create an array of evenly spaced values (number of samples)
+# np.linspace(0, 2, 9)
+```
+
+```{.python .input  n=9}
+# np.full((2, 2), 7)  # Create a constant array
+```
+
+```{.python .input  n=10}
+# np.eye(2)  # Create a 2X2 identity matrix
+```
+
+```{.python .input  n=11}
+# np.random.random((2, 2))  # Create an array with random values
+```
+
+```{.python .input  n=12}
+np.empty((3,2))  # Create an empty array
+```
+
+## I/O
+
+### Saving and loading on disk
+
+```{.python .input  n=12}
+# Save one array
+a = np.array([1, 2, 3])
+npx.save('my_array', a)
+npx.load('my_array')
+```
+
+```{.python .input  n=20}
+# Save a list of arrays
+b = np.array([4, 6, 8])
+npx.save('my_arrays', [a, b])  # FIXME, cannot be a tuple
+npx.load('my_arrays')
+```
+
+### Saving and loading text files
+
+```{.python .input  n=20}
+# np.loadtxt("myfile.txt")
+# np.genfromtxt("my_file.csv", delimiter=',')
+# np.savetxt("myarray.txt", a, delimiter=" ")
+```
+
+## Data types
+
+```{.python .input  n=20}
+# np.int64    # Signed 64-bit integer types
+# np.float32  # Standard double-precision floating point
+# np.complex  # Complex numbers represented by 128 floats
+# np.bool     # Boolean type storing TRUE and FALSE values
+# np.object   # Python object type
+# np.string_  # Fixed-length string type
+# np.unicode_ # Fixed-length unicode type
+```
+
+## Inspecting your array
+
+```{.python .input  n=21}
+a.shape # Array dimensions
+```
+
+```{.python .input  n=22}
+len(a) # Length of array
+```
+
+```{.python .input  n=23}
+b.ndim # Number of array dimensions
+```
+
+```{.python .input  n=24}
+b.size # Number of array elements
+```
+
+```{.python .input  n=25}
+b.dtype # Data type of array elements
+```
+
+```{.python .input  n=29}
+# b.dtype.name # Name of data type
+```
+
+```{.python .input  n=35}
+b.astype('int') # Convert an array to a different type
+```
+
+## Asking For Help
+
+```{.python .input  n=36}
+# np.info(np.ndarray.dtype)
+```
+
+## Array mathematics
+
+### Arithmetic operations
+
+```{.python .input  n=37}
+a - b # Subtraction
+```
+
+```{.python .input  n=38}
+np.subtract(a, b) # Subtraction
+```
+
+```{.python .input  n=39}
+b + a # Addition
+```
+
+```{.python .input  n=40}
+np.add(b, a) # Addition
+```
+
+```{.python .input  n=41}
+a / b # Division
+```
+
+```{.python .input  n=42}
+np.divide(a,b) # Division
+```
+
+```{.python .input  n=43}
+a * b # Multiplication
+```
+
+```{.python .input  n=44}
+np.multiply(a, b) # Multiplication
+```
+
+```{.python .input  n=45}
+np.exp(b) # Exponentiation
+```
+
+```{.python .input  n=46}
+np.sqrt(b) # Square root
+```
+
+```{.python .input  n=47}
+np.sin(a) # Sines of an array
+```
+
+```{.python .input  n=48}
+np.cos(b) # Element-wise cosine
+```
+
+```{.python .input  n=49}
+np.log(a) # Element-wise natural logarithm
+```
+
+```{.python .input  n=50}
+a.dot(b) # Dot product
+```
+
+### Comparison
+
+### Aggregate functions
+
+```{.python .input  n=51}
+a.sum() # Array-wise sum
+```
+
+```{.python .input  n=53}
+# a.min() # Array-wise minimum value
+```
+
+```{.python .input  n=57}
+c = np.array(([[1,2,3], [2,3,4]]))
+# c.max(axis=0) # Maximum value of an array row
+```
+
+```{.python .input  n=56}
+# c.cumsum(axis=1) # Cumulative sum of the elements
+```
+
+```{.python .input  n=58}
+a.mean() # Mean
+```
+
+```{.python .input  n=60}
+# b.median() # Median
+```
+
+```{.python .input  n=61}
+# a.corrcoef() # Correlation coefficient
+```
+
+```{.python .input  n=63}
+# np.std(b) # Standard deviation
+```
+
+## Copying arrays
+
+```{.python .input  n=63}
+# a.view() # Create a view of the array with the same data
+```
+
+```{.python .input  n=63}
+np.copy(a) # Create a copy of the array
+```
+
+```{.python .input  n=63}
+a.copy() # Create a deep copy of the array
+```
+
+## Sorting Arrays
+
+```{.python .input  n=63}
+# a.sort() # Sort an array
+```
+
+```{.python .input  n=63}
+# c.sort(axis=0) # Sort the elements of an array's axis
+```
+
+## Subsetting, slicing, indexing
+
+### Subsetting
+
+```{.python .input  n=63}
+a[2] # Select the element at the 2nd index 3
+```
+
+```{.python .input  n=63}
+c[0,1] # Select the element at row 1 column 2
+```
+
+### Slicing
+
+```{.python .input  n=63}
+a[0:2] # Select items at index 0 and 1
+```
+
+```{.python .input  n=63}
+c[0:2,1] # Select items at rows 0 and 1 in column 1
+```
+
+```{.python .input  n=63}
+c[:1] # Select all items at row 0
+```
+
+```{.python .input  n=63}
+# c[1,...] # Same as [1,:,:]
+```
+
+```{.python .input  n=63}
+a[ : :-1] #Reversed array a array([3, 2, 1])
+```
+
+### Boolean Indexing
+
+```{.python .input  n=63}
+# a[a<2] # Select elements from a less than 2
+```
+
+### Fancy indexing
+
+```{.python .input  n=63}
+c[[1,0,1,0], [0,1,2,0]] # Select elements (1,0),(0,1),(1,2) and (0,0)
+```
+
+```{.python .input  n=63}
+c[[1,0,1,0]][:,[0,1,2,0]] # Select a subset of the matrix’s rows
+```
+
+## Array manipulation
+
+### Transposing array
+
+```{.python .input  n=63}
+np.transpose(c) # Permute array dimensions
+```
+
+```{.python .input  n=63}
+c.T # Permute array dimensions
+```
+
+### Changing array shape
+
+```{.python .input  n=63}
+# b.ravel() # Flatten the array
+```
+
+```{.python .input  n=63}
+# c.reshape(3,-2) # Reshape, but don’t change data
+```
+
+### Adding and removing elements
+
+```{.python .input  n=63}
+# c.resize((6,2)) # Return a new array with shape (6, 2)
+```
+
+```{.python .input  n=63}
+# np.append(h,g) # Append items to an array
+```
+
+```{.python .input  n=63}
+# np.insert(a, 1, 5) # Insert items in an array
+```
+
+```{.python .input  n=63}
+# np.delete(a, [1]) # Delete items from an array
+```
+
+### Combining arrays
+
+```{.python .input  n=63}
+np.concatenate((a,b),axis=0) # Concatenate arrays
+```
+
+```{.python .input  n=63}
+# np.vstack((a,b)) # Stack arrays vertically (row-wise)
+```
+
+```{.python .input  n=63}
+# np.r_[e,f] # Stack arrays vertically (row-wise)
+```
+
+```{.python .input  n=63}
+# np.hstack((e,f)) # Stack arrays horizontally (column-wise)
+```
+
+```{.python .input  n=63}
+# np.column_stack((a,d)) # Create stacked column-wise arrays
+```
+
+```{.python .input  n=63}
+# np.c_[a,d] # Create stacked column-wise arrays
+```
+
+### Splitting arrays
+
+```{.python .input  n=63}
+# np.hsplit(a,3) # Split the array horizontally at the 3rd index
+```
+
+```{.python .input  n=63}
+# np.vsplit(c,2) # Split the array vertically at the 2nd index
+```
+
+## Use GPUs
+
+Prerequisites: A GPU exists and GPU-enabled MXNet is installed.
+
+```{.python .input}
+npx.num_gpus()  # Query number of GPUs
+```
+
+```{.python .input}
+npx.gpu(0), npx.gpu(1)  # Context for the first and second GPUs
+```
+
+```{.python .input}
+gpu_0 = npx.gpu(0) if npx.num_gpus() > 1 else npx.cpu()
+g0 = np.zeros((2,3), ctx=gpu_0)  # Create array on GPU 0
+g0
+```
+
+```{.python .input}
+gpu_1 = npx.gpu(1) if npx.num_gpus() > 2 else npx.cpu()
+g1 = np.random.uniform(size=(2,3), ctx=gpu_1)  # Create array on GPU 1
+g1
+```
+
+```{.python .input}
+# Copy to another GPU
+g1.copyto(gpu_0)
+```
+
+```{.python .input}
+# Return itself if matching the context, otherwise copy
+g1.copyto(gpu_0), g1.copyto(gpu_0)
+```
+
+```{.python .input}
+g1.context  # Query the device an array is on
+```
+
+```{.python .input}
+## The computation is performed by the devices on which the input arrays are
+g0 + g1.copyto(gpu_0)
+```
+
+## Auto differentiation
+
+```{.python .input}
+a.attach_grad() # Allocate gradient for a variable
+a.grad # access the gradient
+```
+
+Compute the $\nabla_a b=\exp(2a)^T a$
+
+```{.python .input}
+from mxnet import autograd
+
+with autograd.record():
+    b = np.exp(2*a).dot(a)
+b.backward()
+a.grad
+```
+
+**Acknowledgement**
+
+Adapted from www.datacamp.com.
diff --git a/docs/python_docs/python/api/mxnet/executor_manager/index.rst b/docs/python_docs/python/tutorials/getting-started/np/index.rst
similarity index 63%
rename from docs/python_docs/python/api/mxnet/executor_manager/index.rst
rename to docs/python_docs/python/tutorials/getting-started/np/index.rst
index 2be59bdce8a5..3f1da88072a7 100644
--- a/docs/python_docs/python/api/mxnet/executor_manager/index.rst
+++ b/docs/python_docs/python/tutorials/getting-started/np/index.rst
@@ -15,9 +15,18 @@
    specific language governing permissions and limitations
    under the License.
 
-mxnet.executor_manager
-======================
+What is NP on MXNet
+=====================
 
-.. automodule:: mxnet.executor_manager
-    :members:
-    :autosummary:
+NP on MXNet provides a NumPy-like interface with extensions
+for deep learning. It contains two modules, ``mxnet.np``, which is similar to
+NumPy, and ``mxnet.npx``, which contains extended operators that are useful for deep
+learning. 
+
+If this is your first time using NP on MXNet, we recommend that you review the following topics in this section:
+
+.. toctree::
+   :maxdepth: 1
+
+   cheat-sheet
+   np-vs-numpy
\ No newline at end of file
diff --git a/docs/python_docs/python/tutorials/getting-started/np/np-vs-numpy.md b/docs/python_docs/python/tutorials/getting-started/np/np-vs-numpy.md
new file mode 100644
index 000000000000..60c87af3ee54
--- /dev/null
+++ b/docs/python_docs/python/tutorials/getting-started/np/np-vs-numpy.md
@@ -0,0 +1,113 @@
+<!--- Licensed to the Apache Software Foundation (ASF) under one -->
+<!--- or more contributor license agreements.  See the NOTICE file -->
+<!--- distributed with this work for additional information -->
+<!--- regarding copyright ownership.  The ASF licenses this file -->
+<!--- to you under the Apache License, Version 2.0 (the -->
+<!--- "License"); you may not use this file except in compliance -->
+<!--- with the License.  You may obtain a copy of the License at -->
+
+<!---   http://www.apache.org/licenses/LICENSE-2.0 -->
+
+<!--- Unless required by applicable law or agreed to in writing, -->
+<!--- software distributed under the License is distributed on an -->
+<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
+<!--- KIND, either express or implied.  See the License for the -->
+<!--- specific language governing permissions and limitations -->
+<!--- under the License. -->
+
+# Differences between NP on MXNet and NumPy
+
+This topic lists known differences between `mxnet.np` and `numpy`. With this quick reference, NumPy users can more easily adopt  the MXNet NumPy-like API. 
+
+```{.python .input}
+import numpy as onp  # o means original
+from mxnet import np, npx
+npx.set_np()  # Configue MXNet to be NumPy-like
+```
+
+## Missing operators
+
+Many, but not all, operators in NumPy are supported in MXNet. You can find the missing operators in [NP on MXNet reference](/api/python/docs/api/ndarray/index.html). They're displayed in gray blocks instead of having links to their documents. 
+
+In addition, an operator might not contain all arguments available in NumPy. For example, MXNet does not support stride. Check the operator document for more details. 
+
+## Extra functionalities 
+
+The `mxnet.np` module aims to mimic NumPy.  Most extra functionalities that enhance NumPy for deep learning use are available on other modules, such as `npx` for operators used in deep learning and `autograd` for automatic differentiation. The `np` module API is not complete. One notable change is GPU support. Creating routines accepts a `ctx` argument:
+
+```{.python .input}
+gpu = npx.gpu() if npx.num_gpus() > 0 else npx.cpu()
+a = np.array(1, ctx=gpu)
+b = np.random.uniform(ctx=gpu)
+(a, b.context)
+```
+
+Methods to move data across devices. 
+
+```{.python .input}
+a.copyto(npx.cpu()), b.as_in_context(npx.cpu())
+```
+
+## Default data types
+
+NumPy uses 64-bit floating numbers or 64-bit integers by default. 
+
+```{.python .input}
+onp.array([1,2]).dtype, onp.array([1.2,2.3]).dtype
+```
+
+MXNet uses 32-bit floating points as the default date type. It's the default data type for deep learning.
+
+```{.python .input}
+np.array([1,2]).dtype, np.array([1.2,2.3]).dtype
+```
+
+## Scalars
+
+NumPy has classes for scalars, whose base class is 'numpy.generic'. The return values of selecting an element and reduce operators are scalars. 
+
+```{.python .input}
+a = onp.array([1,2])
+type(a[0]), type(a.sum())
+```
+
+A scalar is almost identical to a 0-rank tensor (TODO, there may be subtle difference), but it has a different class. You can check the data type with `isinstance` 
+
+```{.python .input}
+b = a[0]
+(b.ndim, b.size, isinstance(b, onp.generic), isinstance(b, onp.integer),
+ isinstance(b, onp.int64), isinstance(b, onp.ndarray))
+```
+
+MXNet returns 0-rank `ndarray` for scalars. (TODO, may consider to add scalar classes later.) 
+
+```{.python .input}
+a = np.array([1,2])
+type(a[0]), type(a.sum())
+```
+
+```{.python .input}
+b = a[0]
+b.ndim, b.size, isinstance(b, np.ndarray)
+```
+
+## Save
+
+The `save` method in `mxnet.np` saves data into a binary format that's not compatible with NumPy format. For example, it contains the device information. (TODO, needs more discussion here.) 
+
+```{.python .input}
+a = np.array(1, ctx=gpu)
+npx.save('a', a)
+npx.load('a')
+```
+
+## Matplotlib
+
+Sometimes the MXNet ndarray cannot used by other libraries that accept NumPy input, for example matplotlib. The best practice is converting to NumPy with `asnumpy()`.
+
+```{.python .input}
+%matplotlib inline
+import matplotlib.pyplot as plt
+
+plt.plot(np.array([1,2]).asnumpy());
+```
diff --git a/docs/python_docs/python/tutorials/index.rst b/docs/python_docs/python/tutorials/index.rst
index 70f60c3c61a5..dcc5ea6dbfd6 100644
--- a/docs/python_docs/python/tutorials/index.rst
+++ b/docs/python_docs/python/tutorials/index.rst
@@ -48,11 +48,10 @@ Packages & Modules
       MXNet's imperative interface for Python. If you're new to MXNet, start here!
 
    .. card::
-      :title: NDArray API
-      :link: packages/ndarray/index.html
+      :title: np.ndarray API
+      :link: packages/np/index.html
 
-      How to use the NDArray API to manipulate data.
-      A useful set of tutorials for beginners.
+      This section contains the `mxnet.np` API reference documentation.
 
    .. card::
       :title: Symbol API
diff --git a/docs/python_docs/python/tutorials/packages/index.rst b/docs/python_docs/python/tutorials/packages/index.rst
index 370028a919d1..b14b884809a0 100644
--- a/docs/python_docs/python/tutorials/packages/index.rst
+++ b/docs/python_docs/python/tutorials/packages/index.rst
@@ -91,6 +91,12 @@ Shared APIs
 
       How to use the optimizers.
 
+   .. card::
+      :title: NP on MXNet reference
+      :link: np/index.html
+
+      This section contains the mxnet.np API reference documentation.
+      
 .. toctree::
    :hidden:
    :glob:
diff --git a/docs/python_docs/python/tutorials/packages/ndarray/index.rst b/docs/python_docs/python/tutorials/packages/ndarray/index.rst
index 41b82091fdc2..5fb5e5d1d94f 100644
--- a/docs/python_docs/python/tutorials/packages/ndarray/index.rst
+++ b/docs/python_docs/python/tutorials/packages/ndarray/index.rst
@@ -45,10 +45,11 @@ NDArray
 
       For Sparse NDArray tutorials
 
+      This section contains the mxnet.np API reference documentation
 
 .. toctree::
    :hidden:
    :glob:
 
    *
-   sparse/index
\ No newline at end of file
+   sparse/index
diff --git a/docs/python_docs/python/tutorials/packages/np/arrays.indexing.rst b/docs/python_docs/python/tutorials/packages/np/arrays.indexing.rst
new file mode 100644
index 000000000000..e073d2100454
--- /dev/null
+++ b/docs/python_docs/python/tutorials/packages/np/arrays.indexing.rst
@@ -0,0 +1,356 @@
+.. _arrays.indexing:
+
+Indexing
+========
+
+.. sectionauthor:: adapted from "Guide to NumPy" by Travis E. Oliphant
+
+.. currentmodule:: mxnet.np
+
+.. index:: indexing, slicing
+
+:class:`ndarrays <ndarray>` can be indexed using the standard Python
+``x[obj]`` syntax, where *x* is the array and *obj* the selection.
+There are three kinds of indexing available: basic
+slicing, advanced indexing, and boolean mask indexing. Which one occurs depends on *obj*.
+
+.. note::
+
+   In Python, ``x[(exp1, exp2, ..., expN)]`` is equivalent to
+   ``x[exp1, exp2, ..., expN]``; the latter is just syntactic sugar
+   for the former.
+
+
+Basic Slicing and Indexing
+--------------------------
+
+Basic slicing extends Python's basic concept of slicing to N
+dimensions. Basic slicing occurs when *obj* is a :class:`slice` object
+(constructed by ``start:stop:step`` notation inside of brackets), an
+integer, or a tuple of slice objects and integers. :const:`Ellipsis`
+and :const:`newaxis` objects can be interspersed with these as
+well.
+
+The simplest case of indexing with *N* integers returns an :ref:`array
+scalar <arrays.scalars>` representing the corresponding item.  As in
+Python, all indices are zero-based: for the *i*-th index :math:`n_i`,
+the valid range is :math:`0 \le n_i < d_i` where :math:`d_i` is the
+*i*-th element of the shape of the array.  Negative indices are
+interpreted as counting from the end of the array (*i.e.*, if
+:math:`n_i < 0`, it means :math:`n_i + d_i`).
+
+All arrays generated by basic slicing are always :term:`views <view>`
+of the original array if the fetched elements are contiguous in memory.
+
+The standard rules of sequence slicing apply to basic slicing on a
+per-dimension basis (including using a step index). Some useful
+concepts to remember include:
+
+- The basic slice syntax is ``i:j:k`` where *i* is the starting index,
+  *j* is the stopping index, and *k* is the step (:math:`k\neq0`).
+  This selects the *m* elements (in the corresponding dimension) with
+  index values *i*, *i + k*, ..., *i + (m - 1) k* where
+  :math:`m = q + (r\neq0)` and *q* and *r* are the quotient and remainder
+  obtained by dividing *j - i* by *k*: *j - i = q k + r*, so that
+  *i + (m - 1) k < j*.
+
+  .. admonition:: Example
+
+     >>> x = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
+     >>> x[1:7:2]
+     array([1, 3, 5])
+
+- Negative *i* and *j* are interpreted as *n + i* and *n + j* where
+  *n* is the number of elements in the corresponding dimension.
+  Negative *k* makes stepping go towards smaller indices.
+
+  .. admonition:: Example
+
+      >>> x[-2:10]
+      array([8, 9])
+      >>> x[-3:3:-1]
+      array([7, 6, 5, 4])
+
+- Assume *n* is the number of elements in the dimension being
+  sliced. Then, if *i* is not given it defaults to 0 for *k > 0* and
+  *n - 1* for *k < 0* . If *j* is not given it defaults to *n* for *k > 0*
+  and *-n-1* for *k < 0* . If *k* is not given it defaults to 1. Note that
+  ``::`` is the same as ``:`` and means select all indices along this
+  axis.
+
+  .. admonition:: Example
+
+      >>> x[5:]
+      array([5, 6, 7, 8, 9])
+
+- If the number of objects in the selection tuple is less than
+  *N* , then ``:`` is assumed for any subsequent dimensions.
+
+  .. admonition:: Example
+
+      >>> x = np.array([[[1],[2],[3]], [[4],[5],[6]]])
+      >>> x.shape
+      (2, 3, 1)
+      >>> x[1:2]
+      array([[[4],
+              [5],
+              [6]]])
+
+- :const:`Ellipsis` expands to the number of ``:`` objects needed for the
+  selection tuple to index all dimensions. In most cases, this means that
+  length of the expanded selection tuple is ``x.ndim``. There may only be a
+  single ellipsis present.
+
+  .. admonition:: Example
+
+      >>> x[...,0]
+      array([[1, 2, 3],
+             [4, 5, 6]])
+
+- Each :const:`newaxis` object in the selection tuple serves to expand
+  the dimensions of the resulting selection by one unit-length
+  dimension.  The added dimension is the position of the :const:`newaxis`
+  object in the selection tuple.
+
+  .. admonition:: Example
+
+      >>> x[:,np.newaxis,:,:].shape
+      (2, 1, 3, 1)
+
+- An integer, *i*, returns the same values as ``i:i+1``
+  **except** the dimensionality of the returned object is reduced by
+  1. In particular, a selection tuple with the *p*-th
+  element an integer (and all other entries ``:``) returns the
+  corresponding sub-array with dimension *N - 1*. If *N = 1*
+  then the returned object is an scalar `ndarray` whose `ndim=0`.
+
+- If the selection tuple has all entries ``:`` except the
+  *p*-th entry which is a slice object ``i:j:k``,
+  then the returned array has dimension *N* formed by
+  concatenating the sub-arrays returned by integer indexing of
+  elements *i*, *i+k*, ..., *i + (m - 1) k < j*,
+
+- Basic slicing with more than one non-``:`` entry in the slicing
+  tuple, acts like repeated application of slicing using a single
+  non-``:`` entry, where the non-``:`` entries are successively taken
+  (with all other non-``:`` entries replaced by ``:``). Thus,
+  ``x[ind1,...,ind2,:]`` acts like ``x[ind1][...,ind2,:]`` under basic
+  slicing.
+
+  .. warning:: The above is **not** true for advanced indexing.
+
+- You may use slicing to set values in the array, but (unlike lists) you
+  can never grow the array. The size of the value to be set in
+  ``x[obj] = value`` must be (broadcastable) to the same shape as
+  ``x[obj]``.
+
+.. note::
+
+    Remember that a slicing tuple can always be constructed as *obj*
+    and used in the ``x[obj]`` notation. Slice objects can be used in
+    the construction in place of the ``[start:stop:step]``
+    notation. For example, ``x[1:10:5,::-1]`` can also be implemented
+    as ``obj = (slice(1,10,5), slice(None,None,-1)); x[obj]`` . This
+    can be useful for constructing generic code that works on arrays
+    of arbitrary dimension.
+
+.. data:: newaxis
+   :noindex:
+
+   The :const:`newaxis` object can be used in all slicing operations to
+   create an axis of length one. :const:`newaxis` is an alias for
+   'None', and 'None' can be used in place of this with the same result.
+
+
+Advanced Indexing
+-----------------
+
+Advanced indexing is triggered when the selection object, *obj*, is a
+non-tuple sequence object, an :class:`ndarray` (of data type integer or bool),
+or a tuple with at least one sequence object or ndarray (of data type
+integer or bool). There are two types of advanced indexing: integer
+and Boolean.
+
+Advanced indexing always returns a *copy* of the data (contrast with
+some cases in basic slicing that returns a :term:`view`).
+
+.. warning::
+
+   The definition of advanced indexing means that ``x[(1,2,3),]`` is
+   fundamentally different than ``x[(1,2,3)]``. The latter is
+   equivalent to ``x[1,2,3]`` which will trigger basic selection while
+   the former will trigger advanced indexing. Be sure to understand
+   why this occurs.
+
+   Also recognize that ``x[[1,2,3]]`` will trigger advanced indexing,
+   whereas due to the deprecated Numeric compatibility mentioned above,
+   ``x[[1,2,slice(None)]]`` will trigger basic slicing in the official NumPy
+   which is not currently supported in MXNet `numpy` module.
+
+Integer array indexing
+^^^^^^^^^^^^^^^^^^^^^^
+
+Integer array indexing allows selection of arbitrary items in the array
+based on their *N*-dimensional index. Each integer array represents a number
+of indexes into that dimension.
+
+Purely integer array indexing
+"""""""""""""""""""""""""""""
+
+When the index consists of as many integer arrays as the array being indexed
+has dimensions, the indexing is straight forward, but different from slicing.
+
+Advanced indexes always are broadcasting and
+iterated as *one*::
+
+     result[i_1, ..., i_M] == x[ind_1[i_1, ..., i_M], ind_2[i_1, ..., i_M],
+                                ..., ind_N[i_1, ..., i_M]]
+
+Note that the result shape is identical to the (broadcast) indexing array
+shapes ``ind_1, ..., ind_N``.
+
+.. admonition:: Example
+
+    From each row, a specific element should be selected. The row index is just
+    ``[0, 1, 2]`` and the column index specifies the element to choose for the
+    corresponding row, here ``[0, 1, 0]``. Using both together the task
+    can be solved using advanced indexing:
+
+    >>> x = np.array([[1, 2], [3, 4], [5, 6]])
+    >>> x[[0, 1, 2], [0, 1, 0]]
+    array([1, 4, 5])
+
+Combining advanced and basic indexing
+"""""""""""""""""""""""""""""""""""""
+
+When there is at least one slice (``:``), ellipsis (``...``) or :const:`newaxis`
+in the index (or the array has more dimensions than there are advanced indexes),
+then the behaviour can be more complicated. It is like concatenating the
+indexing result for each advanced index element
+
+In the simplest case, there is only a *single* advanced index. A single
+advanced index can for example replace a slice and the result array will be
+the same, however, it is a copy and may have a different memory layout.
+A slice is preferable when it is possible.
+
+.. admonition:: Example
+
+    >>> x[1:2, 1:3]
+    array([[4, 5]])
+    >>> x[1:2, [1, 2]]
+    array([[4, 5]])
+
+The easiest way to understand the situation may be to think in
+terms of the result shape. There are two parts to the indexing operation,
+the subspace defined by the basic indexing (excluding integers) and the
+subspace from the advanced indexing part. Two cases of index combination
+need to be distinguished:
+
+* The advanced indexes are separated by a slice, :const:`Ellipsis` or :const:`newaxis`.
+  For example ``x[arr1, :, arr2]``.
+* The advanced indexes are all next to each other.
+  For example ``x[..., arr1, arr2, :]`` but *not* ``x[arr1, :, 1]``
+  since ``1`` is an advanced index in this regard.
+
+In the first case, the dimensions resulting from the advanced indexing
+operation come first in the result array, and the subspace dimensions after
+that.
+In the second case, the dimensions from the advanced indexing operations
+are inserted into the result array at the same spot as they were in the
+initial array (the latter logic is what makes simple advanced indexing
+behave just like slicing).
+
+.. admonition:: Example
+
+ Suppose ``x.shape`` is (10,20,30) and ``ind`` is a (2,3,4)-shaped
+ indexing :class:`intp` array, then ``result = x[...,ind,:]`` has
+ shape (10,2,3,4,30) because the (20,)-shaped subspace has been
+ replaced with a (2,3,4)-shaped broadcasted indexing subspace. If
+ we let *i, j, k* loop over the (2,3,4)-shaped subspace then
+ ``result[...,i,j,k,:] = x[...,ind[i,j,k],:]``. This example
+ produces the same result as :meth:`x.take(ind, axis=-2) <ndarray.take>`.
+
+.. admonition:: Example
+
+  Let ``x.shape`` be (10,20,30,40,50) and suppose ``ind_1``
+  and ``ind_2`` can be broadcast to the shape (2,3,4).  Then
+  ``x[:,ind_1,ind_2]`` has shape (10,2,3,4,40,50) because the
+  (20,30)-shaped subspace from X has been replaced with the
+  (2,3,4) subspace from the indices.  However,
+  ``x[:,ind_1,:,ind_2]`` has shape (2,3,4,10,30,50) because there
+  is no unambiguous place to drop in the indexing subspace, thus
+  it is tacked-on to the beginning. It is always possible to use
+  :meth:`.transpose() <ndarray.transpose>` to move the subspace
+  anywhere desired. Note that this example cannot be replicated
+  using :func:`take`.
+
+
+Boolean array indexing
+^^^^^^^^^^^^^^^^^^^^^^
+
+This advanced indexing occurs when obj is an array object of Boolean
+type, such as may be returned from comparison operators. A single
+boolean index array is practically identical to ``x[obj.nonzero()]`` where,
+as described above, :meth:`obj.nonzero() <ndarray.nonzero>` returns a
+tuple (of length :attr:`obj.ndim <ndarray.ndim>`) of integer index
+arrays showing the :const:`True` elements of *obj*. However, it is
+faster when ``obj.shape == x.shape``.
+
+If ``obj.ndim == x.ndim``, ``x[obj]`` returns a 1-dimensional array
+filled with the elements of *x* corresponding to the :const:`True`
+values of *obj*.  The search order will be :term:`row-major`,
+C-style. If *obj* has :const:`True` values at entries that are outside
+of the bounds of *x*, then an index error will be raised. If *obj* is
+smaller than *x* it is identical to filling it with :const:`False`.
+
+.. note::
+
+Boolean indexing currently only supports a single boolean ndarray as a index.
+An composite index including a boolean array is not supported for now.
+
+If there is only one Boolean array and no integer indexing array present,
+this is straight forward. Care must only be taken to make sure that the
+boolean index has *exactly* as many dimensions as it is supposed to work
+with.
+
+.. admonition:: Example
+
+    From an array, select all rows which sum up to less or equal two:
+
+    >>> x = np.array([[0, 1], [1, 1], [2, 2]], dtype=np.int32)
+    >>> rowsum = x.sum(-1)
+    >>> x[rowsum <= 2]
+    array([[0, 1],
+           [1, 1]], dtype=int32)
+
+    But if ``rowsum`` would have two dimensions as well:
+
+    >>> rowsum = x.sum(-1, keepdims=True)
+    >>> rowsum.shape
+    (3, 1)
+    >>> x[rowsum <= 2]  # fail
+    IndexError: boolean index did not match indexed array along dimension 1
+
+Detailed notes
+--------------
+
+These are some detailed notes, which are not of importance for day to day
+indexing (in no particular order):
+
+* For advanced assignments, there is in general no guarantee for the
+  iteration order. This means that if an element is set more than once,
+  it is not possible to predict the final result.
+* An empty (tuple) index is a full scalar index into a zero dimensional array.
+  ``x[()]`` returns a *scalar* `ndarray` if ``x`` has zero dimensions.
+  On the other hand ``x[...]`` always returns a view.
+* If a zero dimensional array is present in the index *and* it is *not considered as* a full
+  integer index as in NumPy. Advanced indexing is not triggered.
+* the ``nonzero`` equivalence for Boolean arrays does not hold for zero
+  dimensional boolean arrays.
+* When the result of an advanced indexing operation has no elements but an
+  individual index is out of bounds, currently no ``IndexError`` is
+  raised as in NumPy.
+
+.. index::
+   single: indexing
+   single: ndarray
diff --git a/docs/python_docs/python/tutorials/packages/np/arrays.ndarray.rst b/docs/python_docs/python/tutorials/packages/np/arrays.ndarray.rst
new file mode 100644
index 000000000000..a0e9a8707010
--- /dev/null
+++ b/docs/python_docs/python/tutorials/packages/np/arrays.ndarray.rst
@@ -0,0 +1,631 @@
+.. _arrays.ndarray:
+
+******************************************
+The N-dimensional array (:class:`ndarray`)
+******************************************
+
+.. currentmodule:: mxnet.np
+
+An :class:`ndarray` is a (usually fixed-size) multidimensional
+container of items of the same type and size. The number of dimensions
+and items in an array is defined by its :attr:`shape <ndarray.shape>`,
+which is a :class:`tuple` of *N* non-negative integers that specify the
+sizes of each dimension. The type of items in the array is specified by
+a separate :ref:`data-type object (dtype) <arrays.dtypes>`, one of which
+is associated with each ndarray.
+
+As with other container objects in Python, the contents of an
+:class:`ndarray` can be accessed and modified by :ref:`indexing or
+slicing <arrays.indexing>` the array (using, for example, *N* integers),
+and via the methods and attributes of the :class:`ndarray`.
+
+.. index:: view, base
+
+Different :class:`ndarrays <ndarray>` can share the same data, so that
+changes made in one :class:`ndarray` may be visible in another. That
+is, an ndarray can be a *"view"* to another ndarray, and the data it
+is referring to is taken care of by the *"base"* ndarray.
+
+
+.. admonition:: Example
+
+   A 2-dimensional array of size 2 x 3, composed of 4-byte integer
+   elements:
+
+   >>> x = np.array([[1, 2, 3], [4, 5, 6]], np.int32)
+   >>> type(x)
+   <class 'mxnet.numpy.ndarray'>
+   >>> x.shape
+   (2, 3)
+   >>> x.dtype
+   dtype('int32')
+
+   The array can be indexed using Python container-like syntax:
+
+   >>> # The element of x in the *second* row, *third* column, namely, 6.
+   >>> x[1, 2]
+   array(6, dtype=int32)  # this is different than the official NumPy which returns a np.int32 object
+
+   For example :ref:`slicing <arrays.indexing>` can produce views of
+   the array if the elements to be sliced is continguous in memory:
+
+   >>> y = x[1,:]
+   >>> y
+   array([9, 5, 6], dtype=int32)  # this also changes the corresponding element in x
+   >>> x
+   array([[1, 2, 3],
+           [9, 5, 6]], dtype=int32)
+
+
+Constructing arrays
+===================
+
+New arrays can be constructed using the routines detailed in
+:ref:`routines.array-creation`, and also by using the low-level
+:class:`ndarray` constructor:
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray
+
+::
+
+
+Indexing arrays
+===============
+
+Arrays can be indexed using an extended Python slicing syntax,
+``array[selection]``.  Similar syntax is also used for accessing
+fields in a :term:`structured data type`.
+
+.. seealso:: :ref:`Array Indexing <arrays.indexing>`.
+
+.. _memory-layout:
+
+Internal memory layout of an ndarray
+====================================
+
+An instance of class :class:`ndarray` consists of a contiguous
+one-dimensional segment of computer memory (owned by the array, or by
+some other object), combined with an indexing scheme that maps *N*
+integers into the location of an item in the block.  The ranges in
+which the indices can vary is specified by the :obj:`shape
+<ndarray.shape>` of the array. How many bytes each item takes and how
+the bytes are interpreted is defined by the :ref:`data-type object
+<arrays.dtypes>` associated with the array.
+
+.. index:: C-order, Fortran-order, row-major, column-major, stride,
+  offset
+
+.. note::
+
+    `mxnet.numpy.ndarray` currently only supports storing elements in
+    C-order/row-major and contiguous memory space. The following content
+    on explaining a variety of memory layouts of an ndarray
+    are copied from the official NumPy documentation as a comprehensive reference.
+
+A segment of memory is inherently 1-dimensional, and there are many
+different schemes for arranging the items of an *N*-dimensional array
+in a 1-dimensional block. NumPy is flexible, and :class:`ndarray`
+objects can accommodate any *strided indexing scheme*. In a strided
+scheme, the N-dimensional index :math:`(n_0, n_1, ..., n_{N-1})`
+corresponds to the offset (in bytes):
+
+.. math:: n_{\mathrm{offset}} = \sum_{k=0}^{N-1} s_k n_k
+
+from the beginning of the memory block associated with the
+array. Here, :math:`s_k` are integers which specify the :obj:`strides
+<ndarray.strides>` of the array. The :term:`column-major` order (used,
+for example, in the Fortran language and in *Matlab*) and
+:term:`row-major` order (used in C) schemes are just specific kinds of
+strided scheme, and correspond to memory that can be *addressed* by the strides:
+
+.. math::
+
+   s_k^{\mathrm{column}} = \mathrm{itemsize} \prod_{j=0}^{k-1} d_j ,
+   \quad  s_k^{\mathrm{row}} = \mathrm{itemsize} \prod_{j=k+1}^{N-1} d_j .
+
+.. index:: single-segment, contiguous, non-contiguous
+
+where :math:`d_j` `= self.shape[j]`.
+
+Both the C and Fortran orders are :term:`contiguous`, *i.e.,*
+single-segment, memory layouts, in which every part of the
+memory block can be accessed by some combination of the indices.
+
+While a C-style and Fortran-style contiguous array, which has the corresponding
+flags set, can be addressed with the above strides, the actual strides may be
+different. This can happen in two cases:
+
+    1. If ``self.shape[k] == 1`` then for any legal index ``index[k] == 0``.
+       This means that in the formula for the offset :math:`n_k = 0` and thus
+       :math:`s_k n_k = 0` and the value of :math:`s_k` `= self.strides[k]` is
+       arbitrary.
+    2. If an array has no elements (``self.size == 0``) there is no legal
+       index and the strides are never used. Any array with no elements may be
+       considered C-style and Fortran-style contiguous.
+
+Point 1. means that ``self`` and ``self.squeeze()`` always have the same
+contiguity and ``aligned`` flags value. This also means
+that even a high dimensional array could be C-style and Fortran-style
+contiguous at the same time.
+
+.. index:: aligned
+
+An array is considered aligned if the memory offsets for all elements and the
+base offset itself is a multiple of `self.itemsize`. Understanding
+`memory-alignment` leads to better performance on most hardware.
+
+.. note::
+
+    Points (1) and (2) are not yet applied by default. Beginning with
+    NumPy 1.8.0, they are applied consistently only if the environment
+    variable ``NPY_RELAXED_STRIDES_CHECKING=1`` was defined when NumPy
+    was built. Eventually this will become the default.
+
+    You can check whether this option was enabled when your NumPy was
+    built by looking at the value of ``np.ones((10,1),
+    order='C').flags.f_contiguous``. If this is ``True``, then your
+    NumPy has relaxed strides checking enabled.
+
+.. warning::
+
+    It does *not* generally hold that ``self.strides[-1] == self.itemsize``
+    for C-style contiguous arrays or ``self.strides[0] == self.itemsize`` for
+    Fortran-style contiguous arrays is true.
+
+Data in new :class:`ndarrays <ndarray>` is in the :term:`row-major`
+(C) order, unless otherwise specified, but, for example, :ref:`basic
+array slicing <arrays.indexing>` often produces :term:`views <view>`
+in a different scheme.
+
+.. seealso: :ref:`Indexing <arrays.ndarray.indexing>`_
+
+.. note::
+
+   Several algorithms in NumPy work on arbitrarily strided arrays.
+   However, some algorithms require single-segment arrays. When an
+   irregularly strided array is passed in to such algorithms, a copy
+   is automatically made.
+
+.. _arrays.ndarray.attributes:
+
+Array attributes
+================
+
+Array attributes reflect information that is intrinsic to the array
+itself. Generally, accessing an array through its attributes allows
+you to get and sometimes set intrinsic properties of the array without
+creating a new array. The exposed attributes are the core parts of an
+array and only some of them can be reset meaningfully without creating
+a new array. Information on each attribute is given below.
+
+Memory layout
+-------------
+
+The following attributes contain information about the memory layout
+of the array:
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.shape
+   ndarray.ndim
+   ndarray.size
+
+::
+
+   ndarray.flags
+   ndarray.strides
+   ndarray.data
+   ndarray.itemsize
+   ndarray.nbytes
+   ndarray.base
+
+Data type
+---------
+
+.. seealso:: :ref:`Data type objects <arrays.dtypes>`
+
+The data type object associated with the array can be found in the
+:attr:`dtype <ndarray.dtype>` attribute:
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.dtype
+
+Other attributes
+----------------
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.T
+
+::
+
+   ndarray.real
+   ndarray.imag
+   ndarray.flat
+   ndarray.ctypes
+
+.. _array.ndarray.methods:
+
+Array methods
+=============
+
+An :class:`ndarray` object has many methods which operate on or with
+the array in some fashion, typically returning an array result. These
+methods are briefly explained below. (Each method's docstring has a
+more complete description.)
+
+For the following methods there are also corresponding functions in
+:mod:`numpy`: :func:`all`, :func:`any`, :func:`argmax`,
+:func:`argmin`, :func:`argpartition`, :func:`argsort`, :func:`choose`,
+:func:`clip`, :func:`compress`, :func:`copy`, :func:`cumprod`,
+:func:`cumsum`, :func:`diagonal`, :func:`imag`, :func:`max <amax>`,
+:func:`mean`, :func:`min <amin>`, :func:`nonzero`, :func:`partition`,
+:func:`prod`, :func:`ptp`, :func:`put`, :func:`ravel`, :func:`real`,
+:func:`repeat`, :func:`reshape`, :func:`round <around>`,
+:func:`searchsorted`, :func:`sort`, :func:`squeeze`, :func:`std`,
+:func:`sum`, :func:`swapaxes`, :func:`take`, :func:`trace`,
+:func:`transpose`, :func:`var`.
+
+Array conversion
+----------------
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.item
+   ndarray.copy
+   ndarray.tolist
+   ndarray.astype
+
+::
+
+   ndarray.itemset
+   ndarray.tostring
+   ndarray.tobytes
+   ndarray.tofile
+   ndarray.dump
+   ndarray.dumps
+   ndarray.byteswap
+   ndarray.view
+   ndarray.getfield
+   ndarray.setflags
+   ndarray.fill
+
+Shape manipulation
+------------------
+
+For reshape, resize, and transpose, the single tuple argument may be
+replaced with ``n`` integers which will be interpreted as an n-tuple.
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.reshape
+   ndarray.transpose
+   ndarray.swapaxes
+   ndarray.flatten
+   ndarray.squeeze
+
+::
+
+   ndarray.resize
+   ndarray.ravel
+
+Item selection and manipulation
+-------------------------------
+
+For array methods that take an *axis* keyword, it defaults to
+:const:`None`. If axis is *None*, then the array is treated as a 1-D
+array. Any other value for *axis* represents the dimension along which
+the operation should proceed.
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.nonzero
+   ndarray.take
+   ndarray.repeat
+
+
+::
+
+   ndarray.argsort
+   ndarray.sort
+   ndarray.put
+   ndarray.choose
+   ndarray.partition
+   ndarray.argpartition
+   ndarray.searchsorted
+   ndarray.compress
+   ndarray.diagonal
+
+Calculation
+-----------
+
+.. index:: axis
+
+Many of these methods take an argument named *axis*. In such cases,
+
+- If *axis* is *None* (the default), the array is treated as a 1-D
+  array and the operation is performed over the entire array. This
+  behavior is also the default if self is a 0-dimensional array or
+  array scalar. (An array scalar is an instance of the types/classes
+  float32, float64, etc., whereas a 0-dimensional array is an ndarray
+  instance containing precisely one array scalar.)
+
+- If *axis* is an integer, then the operation is done over the given
+  axis (for each 1-D subarray that can be created along the given axis).
+
+.. admonition:: Example of the *axis* argument
+
+   A 3-dimensional array of size 3 x 3 x 3, summed over each of its
+   three axes
+
+   >>> x
+   array([[[ 0,  1,  2],
+           [ 3,  4,  5],
+           [ 6,  7,  8]],
+          [[ 9, 10, 11],
+           [12, 13, 14],
+           [15, 16, 17]],
+          [[18, 19, 20],
+           [21, 22, 23],
+           [24, 25, 26]]])
+   >>> x.sum(axis=0)
+   array([[27, 30, 33],
+          [36, 39, 42],
+          [45, 48, 51]])
+   >>> # for sum, axis is the first keyword, so we may omit it,
+   >>> # specifying only its value
+   >>> x.sum(0), x.sum(1), x.sum(2)
+   (array([[27, 30, 33],
+           [36, 39, 42],
+           [45, 48, 51]]),
+    array([[ 9, 12, 15],
+           [36, 39, 42],
+           [63, 66, 69]]),
+    array([[ 3, 12, 21],
+           [30, 39, 48],
+           [57, 66, 75]]))
+
+The parameter *dtype* specifies the data type over which a reduction
+operation (like summing) should take place. The default reduce data
+type is the same as the data type of *self*. To avoid overflow, it can
+be useful to perform the reduction using a larger data type.
+
+For several methods, an optional *out* argument can also be provided
+and the result will be placed into the output array given. The *out*
+argument must be an :class:`ndarray` and have the same number of
+elements. It can have a different data type in which case casting will
+be performed.
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.max
+   ndarray.argmax
+   ndarray.min
+   ndarray.argmin
+   ndarray.clip
+   ndarray.sum
+   ndarray.mean
+   ndarray.prod
+   ndarray.cumsum
+   ndarray.var
+   ndarray.std
+
+::
+
+   ndarray.round
+   ndarray.ptp
+   ndarray.conj
+   ndarray.trace
+   ndarray.cumprod
+   ndarray.all
+   ndarray.any
+
+Arithmetic, matrix multiplication, and comparison operations
+============================================================
+
+.. index:: comparison, arithmetic, matrix, operation, operator
+
+Arithmetic and comparison operations on :class:`ndarrays <ndarray>`
+are defined as element-wise operations, and generally yield
+:class:`ndarray` objects as results.
+
+Each of the arithmetic operations (``+``, ``-``, ``*``, ``/``, ``//``,
+``%``, ``divmod()``, ``**`` or ``pow()``, ``<<``, ``>>``, ``&``,
+``^``, ``|``, ``~``) and the comparisons (``==``, ``<``, ``>``,
+``<=``, ``>=``, ``!=``) is equivalent to the corresponding
+universal function (or :term:`ufunc` for short) in NumPy.  For
+more information, see the section on :ref:`Universal Functions
+<ufuncs>`.
+
+Comparison operators:
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.__lt__
+   ndarray.__le__
+   ndarray.__gt__
+   ndarray.__ge__
+   ndarray.__eq__
+   ndarray.__ne__
+
+Truth value of an array (:func:`bool()`):
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.__bool__
+
+.. note::
+
+   Truth-value testing of an array invokes
+   :meth:`ndarray.__bool__`, which raises an error if the number of
+   elements in the array is larger than 1, because the truth value
+   of such arrays is ambiguous.
+
+
+Unary operations:
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.__neg__
+
+::
+
+   ndarray.__pos__
+   ndarray.__abs__
+   ndarray.__invert__
+
+Arithmetic:
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.__add__
+   ndarray.__sub__
+   ndarray.__mul__
+   ndarray.__truediv__
+   ndarray.__mod__
+   ndarray.__pow__
+
+::
+
+   ndarray.__floordiv__
+   ndarray.__divmod__
+   ndarray.__lshift__
+   ndarray.__rshift__
+   ndarray.__and__
+   ndarray.__or__
+   ndarray.__xor__
+
+.. note::
+
+   - Any third argument to :func:`pow()` is silently ignored,
+     as the underlying :func:`ufunc <power>` takes only two arguments.
+
+   - The three division operators are all defined; :obj:`div` is active
+     by default, :obj:`truediv` is active when
+     :obj:`__future__` division is in effect.
+
+   - Because :class:`ndarray` is a built-in type (written in C), the
+     ``__r{op}__`` special methods are not directly defined.
+
+   - The functions called to implement many arithmetic special methods
+     for arrays can be modified using :class:`__array_ufunc__ <numpy.class.__array_ufunc__>`.
+
+Arithmetic, in-place:
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.__iadd__
+   ndarray.__isub__
+   ndarray.__imul__
+   ndarray.__itruediv__
+   ndarray.__imod__
+
+::
+
+   ndarray.__ifloordiv__
+   ndarray.__ipow__
+   ndarray.__ilshift__
+   ndarray.__irshift__
+   ndarray.__iand__
+   ndarray.__ior__
+   ndarray.__ixor__
+
+.. warning::
+
+   In place operations will perform the calculation using the
+   precision decided by the data type of the two operands, but will
+   silently downcast the result (if necessary) so it can fit back into
+   the array.  Therefore, for mixed precision calculations, ``A {op}=
+   B`` can be different than ``A = A {op} B``. For example, suppose
+   ``a = ones((3,3))``. Then, ``a += 3j`` is different than ``a = a +
+   3j``: while they both perform the same computation, ``a += 3``
+   casts the result to fit back in ``a``, whereas ``a = a + 3j``
+   re-binds the name ``a`` to the result.
+
+Matrix Multiplication:
+
+.. autosummary::
+   :toctree: generated/
+
+::
+
+   ndarray.__matmul__
+
+
+Special methods
+===============
+
+For standard library functions:
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.__reduce__
+   ndarray.__setstate__
+
+::
+
+   ndarray.__copy__
+   ndarray.__deepcopy__
+
+Basic customization:
+
+.. autosummary::
+   :toctree: generated/
+
+::
+
+   ndarray.__array__
+   ndarray.__new__
+   ndarray.__array_wrap__
+
+Container customization: (see :ref:`Indexing <arrays.indexing>`)
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.__len__
+   ndarray.__getitem__
+   ndarray.__setitem__
+
+::
+
+   ndarray.__contains__
+
+Conversion; the operations :func:`int()` and :func:`float()`.
+They work only on arrays that have one element in them
+and return the appropriate scalar.
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.__int__
+   ndarray.__float__
+
+::
+
+   ndarray.__complex__
+
+String representations:
+
+.. autosummary::
+   :toctree: generated/
+
+   ndarray.__str__
+   ndarray.__repr__
diff --git a/docs/python_docs/python/tutorials/packages/np/arrays.rst b/docs/python_docs/python/tutorials/packages/np/arrays.rst
new file mode 100644
index 000000000000..3f2a52620a51
--- /dev/null
+++ b/docs/python_docs/python/tutorials/packages/np/arrays.rst
@@ -0,0 +1,42 @@
+.. _arrays:
+
+*************
+Array objects
+*************
+
+.. currentmodule:: mxnet.np
+
+``np`` provides an N-dimensional array type, the :ref:`ndarray
+<arrays.ndarray>`, which describes a collection of "items" of the same
+type. The items can be :ref:`indexed <arrays.indexing>` using for
+example N integers.
+
+All ndarrays are :term:`homogenous`: every item takes up the same size
+block of memory, and all blocks are interpreted in exactly the same
+way. How each item in the array is to be interpreted is specified by a
+separate :ref:`data-type object <arrays.dtypes>`, one of which is associated
+with every array. In addition to basic types (integers, floats,
+*etc.*), the data type objects can also represent data structures.
+
+An item extracted from an array, *e.g.*, by indexing, is represented
+by a Python object whose type is one of the :ref:`array scalar types
+<arrays.scalars>` built in NumPy. The array scalars allow easy manipulation
+of also more complicated arrangements of data.
+
+.. note::
+
+   A major difference to ``numpy.ndarray`` is that ``mxnet.np.ndarray``'s scalar
+   is a 0-dim ndarray instead of a scalar object (``numpy.generic``).
+
+.. toctree::
+   :maxdepth: 2
+
+   arrays.ndarray
+   arrays.scalars
+   arrays.dtypes
+   arrays.indexing
+   arrays.nditer
+   arrays.classes
+   maskedarray
+   arrays.interface
+   arrays.datetime
diff --git a/docs/python_docs/python/tutorials/packages/np/index.rst b/docs/python_docs/python/tutorials/packages/np/index.rst
new file mode 100644
index 000000000000..7830a4469b61
--- /dev/null
+++ b/docs/python_docs/python/tutorials/packages/np/index.rst
@@ -0,0 +1,30 @@
+.. _reference:
+
+NP on MXNet reference
+============================
+
+
+.. module:: mxnet.np
+
+This section contains the `mxnet.np` API reference documentation. The topics here explain the functions, modules, and objects
+included in `mxnet.np`. Use the links here to learn more.
+
+
+.. toctree::
+   :maxdepth: 2
+
+   arrays
+   constants
+   ufuncs
+   routines
+   distutils
+   distutils_guide
+   c-api
+   internals
+   swig
+   npx
+
+
+**Acknowledgements**
+
+Large parts of this manual originate from NumPy documents.
diff --git a/docs/python_docs/python/tutorials/packages/np/npx.rst b/docs/python_docs/python/tutorials/packages/np/npx.rst
new file mode 100644
index 000000000000..dc0a4a08a6b1
--- /dev/null
+++ b/docs/python_docs/python/tutorials/packages/np/npx.rst
@@ -0,0 +1,85 @@
+NP Extensions
+====================
+
+.. currentmodule:: mxnet.npx
+
+Compatibility
+-------------
+
+.. autosummary::
+   :toctree: generated/
+
+   set_np
+   reset_np
+
+.. code::
+
+   is_np_array
+   use_np_array
+   is_np_shape
+   use_np_shape
+   np_array
+   np_shape
+
+
+Devices
+---------
+
+
+.. autosummary::
+   :toctree: generated/
+
+   cpu
+   cpu_pinned
+   gpu
+   gpu_memory_info
+   current_context
+   num_gpus
+
+Nerual networks
+-----------------------
+
+.. autosummary::
+   :toctree: generated/
+
+   activation
+   batch_norm
+   convolution
+   dropout
+   embedding
+   fully_connected
+   layer_norm
+   pooling
+   rnn
+   leaky_relu
+   multibox_detection
+   multibox_prior
+   multibox_target
+   roi_pooling
+
+
+More operators
+------------------
+
+.. autosummary::
+   :toctree: generated/
+
+   sigmoid
+   smooth_l1
+   softmax
+   threading
+   topk
+   waitall
+   load
+   save
+   one_hot
+   pick
+   reshape_like
+   batch_flatten
+   batch_dot
+   gamma
+   sequence_mask
+
+.. code::
+
+   seed
\ No newline at end of file
diff --git a/docs/python_docs/python/tutorials/packages/np/random/index.rst b/docs/python_docs/python/tutorials/packages/np/random/index.rst
new file mode 100644
index 000000000000..0142b19c2775
--- /dev/null
+++ b/docs/python_docs/python/tutorials/packages/np/random/index.rst
@@ -0,0 +1,90 @@
+.. _numpyrandom:
+
+.. currentmodule:: mxnet.np.random
+
+np.random
+============
+
+..
+  remove a large part about generator here, this page contains a part of generator.rst
+
+
+Accessing the BitGenerator
+--------------------------
+.. autosummary::
+   :toctree: generated/
+
+::
+
+   bit_generator
+
+Simple random data
+------------------
+.. autosummary::
+   :toctree: generated/
+
+   choice
+
+::
+
+   random
+   integers
+   bytes
+
+Permutations
+------------
+.. autosummary::
+   :toctree: generated/
+
+   shuffle
+
+::
+
+   permutation
+
+Distributions
+-------------
+.. autosummary::
+   :toctree: generated/
+
+
+   normal
+   uniform
+   rand
+   randint
+
+::
+
+   beta
+   binomial
+   chisquare
+   dirichlet
+   exponential
+   f
+   gamma
+   geometric
+   gumbel
+   hypergeometric
+   laplace
+   logistic
+   lognormal
+   logseries
+   multinomial
+   multivariate_normal
+   negative_binomial
+   noncentral_chisquare
+   noncentral_f
+   pareto
+   poisson
+   power
+   rayleigh
+   standard_cauchy
+   standard_exponential
+   standard_gamma
+   standard_normal
+   standard_t
+   triangular
+   vonmises
+   wald
+   weibull
+   zipf
diff --git a/docs/python_docs/python/tutorials/packages/np/routines.array-creation.rst b/docs/python_docs/python/tutorials/packages/np/routines.array-creation.rst
new file mode 100644
index 000000000000..2033923e5e75
--- /dev/null
+++ b/docs/python_docs/python/tutorials/packages/np/routines.array-creation.rst
@@ -0,0 +1,124 @@
+.. _routines.array-creation:
+
+Array creation routines
+=======================
+
+.. seealso:: :ref:`Array creation <arrays.creation>`
+
+.. currentmodule:: mxnet.np
+
+Ones and zeros
+--------------
+.. autosummary::
+   :toctree: generated/
+
+   eye
+   empty
+   full
+   identity
+   ones
+   ones_like
+   zeros
+   zeros_like
+
+.. code::
+
+   full_like
+   empty_like
+
+From existing data
+------------------
+.. autosummary::
+   :toctree: generated/
+
+   array
+   copy
+
+.. code::
+
+   asarray
+   asanyarray
+   ascontiguousarray
+   asmatrix
+   frombuffer
+   fromfile
+   fromfunction
+   fromiter
+   fromstring
+   loadtxt
+
+.. _routines.array-creation.rec:
+
+Creating record arrays (:mod:`np.rec`)
+-----------------------------------------
+
+.. note:: :mod:`np.rec` is the preferred alias for
+   :mod:`np.core.records`.
+
+.. autosummary::
+   :toctree: generated/
+
+.. code::
+
+   core.records.array
+   core.records.fromarrays
+   core.records.fromrecords
+   core.records.fromstring
+   core.records.fromfile
+
+.. _routines.array-creation.char:
+
+Creating character arrays (:mod:`np.char`)
+---------------------------------------------
+
+.. note:: :mod:`np.char` is the preferred alias for
+   :mod:`np.core.defchararray`.
+
+.. autosummary::
+   :toctree: generated/
+
+.. code::
+
+   core.defchararray.array
+   core.defchararray.asarray
+
+Numerical ranges
+----------------
+.. autosummary::
+   :toctree: generated/
+
+   arange
+   linspace
+   logspace
+   meshgrid
+
+.. code::
+
+   geomspace
+   mgrid
+   ogrid
+
+Building matrices
+-----------------
+.. autosummary::
+   :toctree: generated/
+
+   tril
+
+.. code::
+
+   diag
+   diagflat
+   tri
+   triu
+   vander
+
+The Matrix class
+----------------
+.. autosummary::
+   :toctree: generated/
+
+::
+
+   mat
+   bmat
diff --git a/docs/python_docs/python/tutorials/packages/np/routines.array-manipulation.rst b/docs/python_docs/python/tutorials/packages/np/routines.array-manipulation.rst
new file mode 100644
index 000000000000..b43d8f117d02
--- /dev/null
+++ b/docs/python_docs/python/tutorials/packages/np/routines.array-manipulation.rst
@@ -0,0 +1,143 @@
+Array manipulation routines
+***************************
+
+.. currentmodule:: mxnet.np
+
+Basic operations
+================
+.. autosummary::
+   :toctree: generated/
+
+::
+
+    copyto
+
+Changing array shape
+====================
+.. autosummary::
+   :toctree: generated/
+
+
+   reshape
+   ravel
+   ndarray.flatten
+
+::
+
+   ndarray.flat
+
+Transpose-like operations
+=========================
+.. autosummary::
+   :toctree: generated/
+
+   swapaxes
+   ndarray.T
+   transpose
+   moveaxis
+
+::
+
+   rollaxis
+
+Changing number of dimensions
+=============================
+.. autosummary::
+   :toctree: generated/
+
+   expand_dims
+   squeeze
+   broadcast_to
+   broadcast_arrays
+
+::
+
+   atleast_1d
+   atleast_2d
+   atleast_3d
+   broadcast
+
+Changing kind of array
+======================
+.. autosummary::
+   :toctree: generated/
+
+::
+
+   asarray
+   asanyarray
+   asmatrix
+   asfarray
+   asfortranarray
+   ascontiguousarray
+   asarray_chkfinite
+   asscalar
+   require
+
+Joining arrays
+==============
+.. autosummary::
+   :toctree: generated/
+
+   concatenate
+   stack
+   dstack
+   vstack
+
+::
+
+   column_stack
+   hstack
+   block
+
+Splitting arrays
+================
+.. autosummary::
+   :toctree: generated/
+
+   split
+   hsplit
+   vsplit
+
+::
+
+   array_split
+   dsplit
+
+Tiling arrays
+=============
+.. autosummary::
+   :toctree: generated/
+
+   tile
+   repeat
+
+Adding and removing elements
+============================
+.. autosummary::
+   :toctree: generated/
+
+   unique
+
+::
+
+   delete
+   insert
+   append
+   resize
+   trim_zeros
+
+Rearranging elements
+====================
+.. autosummary::
+   :toctree: generated/
+
+   reshape
+   flip
+   roll
+   rot90
+
+::
+
+   fliplr
+   flipud
diff --git a/docs/python_docs/python/tutorials/packages/np/routines.io.rst b/docs/python_docs/python/tutorials/packages/np/routines.io.rst
new file mode 100644
index 000000000000..07e487c6eed6
--- /dev/null
+++ b/docs/python_docs/python/tutorials/packages/np/routines.io.rst
@@ -0,0 +1,114 @@
+Input and output
+****************
+
+.. currentmodule:: mxnet.np
+
+NumPy binary files (NPY, NPZ)
+-----------------------------
+.. autosummary::
+   :toctree: generated/
+
+::
+   load
+   save
+   savez
+   savez_compressed
+
+The format of these binary file types is documented in
+:py:mod:`numpy.lib.format`
+
+Text files
+----------
+.. autosummary::
+   :toctree: generated/
+
+   genfromtxt
+
+::
+
+   loadtxt
+   savetxt
+   fromregex
+   fromstring
+   ndarray.tofile
+   ndarray.tolist
+
+Raw binary files
+----------------
+
+.. autosummary::
+
+
+::
+
+   fromfile
+   ndarray.tofile
+
+String formatting
+-----------------
+.. autosummary::
+   :toctree: generated/
+
+
+::
+
+   array2string
+   array_repr
+   array_str
+   format_float_positional
+   format_float_scientific
+
+Memory mapping files
+--------------------
+.. autosummary::
+   :toctree: generated/
+
+
+::
+
+   memmap
+
+Text formatting options
+-----------------------
+.. autosummary::
+   :toctree: generated/
+
+
+::
+
+   set_printoptions
+   get_printoptions
+   set_string_function
+   printoptions
+
+Base-n representations
+----------------------
+.. autosummary::
+   :toctree: generated/
+
+
+::
+
+   binary_repr
+   base_repr
+
+Data sources
+------------
+.. autosummary::
+   :toctree: generated/
+
+
+::
+
+   DataSource
+
+Binary Format Description
+-------------------------
+.. autosummary::
+   :template: autosummary/minimal_module.rst
+   :toctree: generated/
+
+
+::
+
+    lib.format
diff --git a/docs/python_docs/python/tutorials/packages/np/routines.linalg.rst b/docs/python_docs/python/tutorials/packages/np/routines.linalg.rst
new file mode 100644
index 000000000000..073dd0b05be5
--- /dev/null
+++ b/docs/python_docs/python/tutorials/packages/np/routines.linalg.rst
@@ -0,0 +1,106 @@
+.. _routines.linalg:
+
+.. module:: mxnet.np.linalg
+
+Linear algebra (:mod:`numpy.linalg`)
+************************************
+
+The NumPy linear algebra functions rely on BLAS and LAPACK to provide efficient
+low level implementations of standard linear algebra algorithms. Those
+libraries may be provided by NumPy itself using C versions of a subset of their
+reference implementations but, when possible, highly optimized libraries that
+take advantage of specialized processor functionality are preferred. Examples
+of such libraries are OpenBLAS_, MKL (TM), and ATLAS. Because those libraries
+are multithreaded and processor dependent, environmental variables and external
+packages such as threadpoolctl_ may be needed to control the number of threads
+or specify the processor architecture.
+
+.. _OpenBLAS: https://www.openblas.net/
+.. _threadpoolctl: https://github.com/joblib/threadpoolctl
+
+.. currentmodule:: mxnet.np
+
+Matrix and vector products
+--------------------------
+.. autosummary::
+   :toctree: generated/
+
+   dot
+   vdot
+   inner
+   outer
+   tensordot
+   einsum
+
+::
+
+   linalg.multi_dot
+   matmul
+   einsum_path
+   linalg.matrix_power
+   kron
+
+Decompositions
+--------------
+.. autosummary::
+   :toctree: generated/
+
+   linalg.svd
+
+::
+
+   linalg.cholesky
+   linalg.qr
+
+Matrix eigenvalues
+------------------
+.. autosummary::
+   :toctree: generated/
+
+
+::
+
+   linalg.eig
+   linalg.eigh
+   linalg.eigvals
+   linalg.eigvalsh
+
+Norms and other numbers
+-----------------------
+.. autosummary::
+   :toctree: generated/
+
+   linalg.norm
+   trace
+
+::
+
+   linalg.cond
+   linalg.det
+   linalg.matrix_rank
+   linalg.slogdet
+
+Solving equations and inverting matrices
+----------------------------------------
+.. autosummary::
+   :toctree: generated/
+
+
+::
+
+   linalg.solve
+   linalg.tensorsolve
+   linalg.lstsq
+   linalg.inv
+   linalg.pinv
+   linalg.tensorinv
+
+Exceptions
+----------
+.. autosummary::
+   :toctree: generated/
+
+
+::
+
+   linalg.LinAlgError
diff --git a/docs/python_docs/python/tutorials/packages/np/routines.math.rst b/docs/python_docs/python/tutorials/packages/np/routines.math.rst
new file mode 100644
index 000000000000..6dd85cdbbcab
--- /dev/null
+++ b/docs/python_docs/python/tutorials/packages/np/routines.math.rst
@@ -0,0 +1,213 @@
+Mathematical functions
+**********************
+
+.. currentmodule:: mxnet.np
+
+.. note::
+
+   Currently, most of the math functions only support inputs and outputs of the same dtype.
+   This limitation usually results in imprecise outputs for ndarrays with integral dtype
+   while floating-point values are expected in the output.
+   Appropriate handling of ndarrays integral dtypes is in active development.
+
+
+Trigonometric functions
+-----------------------
+.. autosummary::
+   :toctree: generated/
+
+   sin
+   cos
+   tan
+   arcsin
+   arccos
+   arctan
+   degrees
+   radians
+   hypot
+   arctan2
+   deg2rad
+   rad2deg
+
+::
+
+   unwrap
+
+Hyperbolic functions
+--------------------
+.. autosummary::
+   :toctree: generated/
+
+   sinh
+   cosh
+   tanh
+   arcsinh
+   arccosh
+   arctanh
+
+Rounding
+--------
+.. autosummary::
+   :toctree: generated/
+
+   rint
+   fix
+   floor
+   ceil
+   trunc
+   around
+
+::
+
+   round_
+
+
+Sums, products, differences
+---------------------------
+.. autosummary::
+   :toctree: generated/
+
+   sum
+   prod
+   cumsum
+
+::
+
+   nanprod
+   nansum
+   cumprod
+   nancumprod
+   nancumsum
+   diff
+   ediff1d
+   gradient
+   cross
+   trapz
+
+Exponents and logarithms
+------------------------
+.. autosummary::
+   :toctree: generated/
+
+   exp
+   expm1
+   log
+   log10
+   log2
+   log1p
+
+::
+
+   exp2
+   logaddexp
+   logaddexp2
+
+Other special functions
+-----------------------
+.. autosummary::
+   :toctree: generated/
+
+
+::
+
+   i0
+   sinc
+
+Floating point routines
+-----------------------
+.. autosummary::
+   :toctree: generated/
+
+   ldexp
+
+::
+
+   signbit
+   copysign
+   frexp
+   nextafter
+   spacing
+
+Rational routines
+-----------------
+.. autosummary::
+   :toctree: generated/
+
+   lcm
+
+::
+
+   gcd
+
+Arithmetic operations
+---------------------
+.. autosummary::
+   :toctree: generated/
+
+   add
+   reciprocal
+   negative
+   divide
+   power
+   subtract
+   mod
+   multiply
+   true_divide
+   remainder
+
+::
+
+   positive
+   floor_divide
+   float_power
+
+   fmod
+   modf
+   divmod
+
+Handling complex numbers
+------------------------
+.. autosummary::
+   :toctree: generated/
+
+
+::
+
+   angle
+   real
+   imag
+   conj
+   conjugate
+
+
+Miscellaneous
+-------------
+.. autosummary::
+   :toctree: generated/
+
+   clip
+
+   sqrt
+   cbrt
+   square
+
+   absolute
+   sign
+   maximum
+   minimum
+
+::
+
+   convolve
+
+   fabs
+
+   heaviside
+
+   fmax
+   fmin
+
+   nan_to_num
+   real_if_close
+
+   interp
diff --git a/docs/python_docs/python/tutorials/packages/np/routines.rst b/docs/python_docs/python/tutorials/packages/np/routines.rst
new file mode 100644
index 000000000000..e35d6214d171
--- /dev/null
+++ b/docs/python_docs/python/tutorials/packages/np/routines.rst
@@ -0,0 +1,47 @@
+Routines
+============
+
+In this chapter routine docstrings are presented, grouped by functionality.
+Many docstrings contain example code, which demonstrates basic usage
+of the routine. The examples assume that the `np` module is imported with::
+
+  >>> from mxnet import np, npx
+  >>> npx.set_np()
+
+A convenient way to execute examples is the ``%doctest_mode`` mode of
+IPython, which allows for pasting of multi-line examples and preserves
+indentation.
+
+.. toctree::
+   :maxdepth: 2
+
+   routines.array-creation
+   routines.array-manipulation
+   routines.bitwise
+   routines.char
+   routines.ctypeslib
+   routines.datetime
+   routines.dtype
+   routines.dual
+   routines.emath
+   routines.err
+   routines.fft
+   routines.financial
+   routines.functional
+   routines.help
+   routines.indexing
+   routines.io
+   routines.linalg
+   routines.logic
+   routines.ma
+   routines.math
+   routines.matlib
+   routines.other
+   routines.padding
+   routines.polynomials
+   random/index
+   routines.set
+   routines.sort
+   routines.statistics
+   routines.testing
+   routines.window
diff --git a/docs/python_docs/python/tutorials/packages/np/routines.sort.rst b/docs/python_docs/python/tutorials/packages/np/routines.sort.rst
new file mode 100644
index 000000000000..0ae1e92a42b4
--- /dev/null
+++ b/docs/python_docs/python/tutorials/packages/np/routines.sort.rst
@@ -0,0 +1,49 @@
+Sorting, searching, and counting
+================================
+
+.. currentmodule:: mxnet.np
+
+Sorting
+-------
+.. autosummary::
+   :toctree: generated/
+
+::
+
+   ndarray.sort
+   sort
+   lexsort
+   argsort
+   msort
+   sort_complex
+   partition
+   argpartition
+
+Searching
+---------
+.. autosummary::
+   :toctree: generated/
+
+   argmax
+   argmin
+
+::
+
+   nanargmax
+   nanargmin
+   argwhere
+   nonzero
+   flatnonzero
+   where
+   searchsorted
+   extract
+
+Counting
+--------
+.. autosummary::
+   :toctree: generated/
+
+
+::
+
+   count_nonzero
diff --git a/docs/python_docs/python/tutorials/packages/np/routines.statistics.rst b/docs/python_docs/python/tutorials/packages/np/routines.statistics.rst
new file mode 100644
index 000000000000..e9caf40d2ec1
--- /dev/null
+++ b/docs/python_docs/python/tutorials/packages/np/routines.statistics.rst
@@ -0,0 +1,74 @@
+Statistics
+==========
+
+.. currentmodule:: mxnet.np
+
+
+Order statistics
+----------------
+
+.. autosummary::
+   :toctree: generated/
+
+   min
+   max
+
+::
+
+   amin
+   amax
+   nanmin
+   nanmax
+   ptp
+   percentile
+   nanpercentile
+   quantile
+   nanquantile
+
+Averages and variances
+----------------------
+
+.. autosummary::
+   :toctree: generated/
+
+   mean
+   std
+   var
+
+::
+
+   median
+   average
+   nanmedian
+   nanmean
+   nanstd
+   nanvar
+
+Correlating
+-----------
+
+.. autosummary::
+   :toctree: generated/
+
+
+::
+
+   corrcoef
+   correlate
+   cov
+
+Histograms
+----------
+
+.. autosummary::
+   :toctree: generated/
+
+   histogram
+
+::
+
+   histogram2d
+   histogramdd
+   bincount
+   histogram_bin_edges
+   digitize
diff --git a/docs/python_docs/themes/mx-theme/mxtheme/layout.html b/docs/python_docs/themes/mx-theme/mxtheme/layout.html
index 994da38fa29e..1e94b28f8fd5 100644
--- a/docs/python_docs/themes/mx-theme/mxtheme/layout.html
+++ b/docs/python_docs/themes/mx-theme/mxtheme/layout.html
@@ -67,10 +67,12 @@
     '_static/feedback.css',
 ] %}
 
-    {%- block header %}
-        <script type="text/javascript" src="{{ pathto('_static/sphinx_materialdesign_theme.js', 1) }} "></script>
-        <script type="text/javascript" src="{{ pathto('_static/feedback.js', 1) }}"></script>
-    {% endblock %}
+{% set script_files = script_files + [
+    '_static/sphinx_materialdesign_theme.js'
+  ]
+%}
+
+{%- block header %}{% endblock %}
 {%- block relbar1 %}{% endblock %}
 {%- block relbar2 %}{% include "relations.html" %}{% endblock %}
 {%- block sidebar2 %}{% endblock %}
diff --git a/docs/python_docs/themes/mx-theme/mxtheme/static/sphinx_materialdesign_theme.css b/docs/python_docs/themes/mx-theme/mxtheme/static/sphinx_materialdesign_theme.css
index cb26a387dd34..9b5a2312e6a6 100644
--- a/docs/python_docs/themes/mx-theme/mxtheme/static/sphinx_materialdesign_theme.css
+++ b/docs/python_docs/themes/mx-theme/mxtheme/static/sphinx_materialdesign_theme.css
@@ -1,2 +1,2 @@
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* Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      https:///www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n@import \"../variables\";\n@import \"../mixins\";\n\n.mdl-shadow--2dp {\n  @include shadow-2dp();\n}\n\n.mdl-shadow--3dp {\n  @include shadow-3dp();\n}\n\n.mdl-shadow--4dp {\n  @include shadow-4dp();\n}\n\n.mdl-shadow--6dp {\n  @include shadow-6dp();\n}\n\n.mdl-shadow--8dp {\n  @include shadow-8dp();\n}\n\n.mdl-shadow--16dp {\n  @include shadow-16dp();\n}\n\n.mdl-shadow--24dp {\n  @include shadow-24dp();\n}\n","/**\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n/* Typography */\n\n@mixin typo-preferred-font($usePreferred: true) {\n  @if $usePreferred {\n    font-family: $preferred_font;\n  }\n}\n\n@mixin typo-display-4($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 112px;\n  font-weight: 300;\n  line-height: 1;\n  letter-spacing: -0.04em;\n\n  @if $colorContrast {\n    opacity: 0.54;\n  }\n}\n\n@mixin typo-display-3($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 56px;\n  font-weight: 400;\n  line-height: 1.35;\n  letter-spacing: -0.02em;\n\n  @if $colorContrast {\n    opacity: 0.54;\n  }\n}\n\n@mixin typo-display-2($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 45px;\n  font-weight: 400;\n  line-height: 48px;\n\n  @if $colorContrast {\n    opacity: 0.54;\n  }\n}\n\n@mixin typo-display-1($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 34px;\n  font-weight: 400;\n  line-height: 40px;\n\n  @if $colorContrast {\n    opacity: 0.54;\n  }\n}\n\n@mixin typo-headline($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 24px;\n  font-weight: 400;\n  line-height: 32px;\n  -moz-osx-font-smoothing: grayscale;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-title($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 20px;\n  font-weight: 500;\n  line-height: 1;\n  letter-spacing: 0.02em;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-subhead($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 16px;\n  font-weight: 400;\n  line-height: 24px;\n  letter-spacing: 0.04em;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-subhead-2($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 16px;\n  font-weight: 400;\n  line-height: 28px;\n  letter-spacing: 0.04em;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-body-2($colorContrast: false, $usePreferred: false) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 14px;\n  @if $usePreferred {\n    font-weight: 500;\n  } @else {\n    font-weight: bold;\n  }\n  line-height: 24px;\n  letter-spacing: 0;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-body-1($colorContrast: false, $usePreferred: false) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 14px;\n  font-weight: 400;\n  line-height: 24px;\n  letter-spacing: 0;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-caption($colorContrast: false, $usePreferred: false) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 12px;\n  font-weight: 400;\n  line-height: 1;\n  letter-spacing: 0;\n\n  @if $colorContrast {\n    opacity: 0.54;\n  }\n}\n\n@mixin typo-blockquote($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  position: relative;\n  font-size: 24px;\n  font-weight: 300;\n  font-style: italic;\n  line-height: 1.35;\n  letter-spacing: 0.08em;\n\n  &:before {\n    position: absolute;\n    left: -0.5em;\n    content: '“';\n  }\n\n  &:after {\n    content: '”';\n    margin-left: -0.05em;\n  }\n\n  @if $colorContrast {\n    opacity: 0.54;\n  }\n}\n\n@mixin typo-menu($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 14px;\n  font-weight: 500;\n  line-height: 1;\n  letter-spacing: 0;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-button($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 14px;\n  font-weight: 500;\n  text-transform: uppercase;\n  line-height: 1;\n  letter-spacing: 0;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-icon() {\n  font-family: 'Material Icons';\n  font-weight: normal;\n  font-style: normal;\n  font-size: 24px;\n  line-height: 1;\n  letter-spacing: normal;\n  text-transform: none;\n  display: inline-block;\n  word-wrap: normal;\n  font-feature-settings: 'liga';\n  -webkit-font-feature-settings: 'liga';\n  -webkit-font-smoothing: antialiased;\n}\n\n/* Shadows */\n\n// Focus shadow mixin.\n@mixin focus-shadow() {\n  box-shadow: 0 0 8px rgba(0,0,0,.18),0 8px 16px rgba(0,0,0,.36);\n}\n\n@mixin shadow-2dp() {\n  box-shadow: 0 2px 2px 0 rgba(0, 0, 0, $shadow-key-penumbra-opacity),\n              0 3px 1px -2px rgba(0, 0, 0, $shadow-key-umbra-opacity),\n              0 1px 5px 0 rgba(0, 0, 0, $shadow-ambient-shadow-opacity);\n}\n@mixin shadow-3dp() {\n  box-shadow: 0 3px 4px 0 rgba(0, 0, 0, $shadow-key-penumbra-opacity),\n              0 3px 3px -2px rgba(0, 0, 0, $shadow-key-umbra-opacity),\n              0 1px 8px 0 rgba(0, 0, 0, $shadow-ambient-shadow-opacity);\n}\n@mixin shadow-4dp() {\n  box-shadow: 0 4px 5px 0 rgba(0, 0, 0, $shadow-key-penumbra-opacity),\n              0 1px 10px 0 rgba(0, 0, 0, $shadow-ambient-shadow-opacity),\n              0 2px 4px -1px rgba(0, 0, 0, $shadow-key-umbra-opacity);\n}\n@mixin shadow-6dp() {\n  box-shadow: 0 6px 10px 0 rgba(0, 0, 0, $shadow-key-penumbra-opacity),\n              0 1px 18px 0 rgba(0, 0, 0, $shadow-ambient-shadow-opacity),\n              0 3px 5px -1px rgba(0, 0, 0, $shadow-key-umbra-opacity);\n}\n@mixin shadow-8dp() {\n  box-shadow: 0 8px 10px 1px rgba(0, 0, 0, $shadow-key-penumbra-opacity),\n              0 3px 14px 2px rgba(0, 0, 0, $shadow-ambient-shadow-opacity),\n              0 5px 5px -3px rgba(0, 0, 0, $shadow-key-umbra-opacity);\n}\n\n@mixin shadow-16dp() {\n  box-shadow: 0 16px 24px 2px rgba(0, 0, 0, $shadow-key-penumbra-opacity),\n              0  6px 30px 5px rgba(0, 0, 0, $shadow-ambient-shadow-opacity),\n              0  8px 10px -5px rgba(0, 0, 0, $shadow-key-umbra-opacity);\n}\n\n@mixin shadow-24dp() {\n  box-shadow: 0  9px 46px  8px rgba(0, 0, 0, $shadow-key-penumbra-opacity),\n              0 11px 15px -7px rgba(0, 0, 0, $shadow-ambient-shadow-opacity),\n              0 24px 38px  3px rgba(0, 0, 0, $shadow-key-umbra-opacity);\n}\n\n/* Animations */\n\n@mixin material-animation-fast-out-slow-in($duration:0.2s) {\n  transition-duration: $duration;\n  transition-timing-function: $animation-curve-fast-out-slow-in;\n}\n\n@mixin material-animation-linear-out-slow-in($duration:0.2s) {\n  transition-duration: $duration;\n  transition-timing-function: $animation-curve-linear-out-slow-in;\n}\n\n@mixin material-animation-fast-out-linear-in($duration:0.2s) {\n  transition-duration: $duration;\n  transition-timing-function: $animation-curve-fast-out-linear-in;\n}\n\n@mixin material-animation-default($duration:0.2s) {\n  transition-duration: $duration;\n  transition-timing-function: $animation-curve-default;\n}\n\n/* Dialog */\n\n@mixin dialog-width($units:5) {\n  @if(type_of($units) != 'number') {\n    @error \"The unit given to dialog-width should be a number.\";\n  }\n  // 56dp is the base unit width for Dialogs.\n  // With 5 units being the number of units for a mobile device.\n  // https://goo.gl/sK2O5o\n  width: $units * 56px;\n}\n","/**\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n@import \"../variables\";\n@import \"../mixins\";\n\n.mdl-data-table {\n  position: relative;\n  border: $data-table-dividers;\n  border-collapse: collapse;\n  white-space: nowrap;\n  font-size: $data-table-font-size;\n  background-color: unquote(\"rgb(#{$color-white})\");\n\n  thead {\n    padding-bottom: 3px;\n\n    .mdl-data-table__select {\n      margin-top: 0;\n    }\n  }\n\n  tbody {\n    tr {\n      position: relative;\n      height: $data-table-row-height;\n      @include material-animation-default(0.28s);\n      transition-property: background-color;\n\n      &.is-selected {\n        background-color: $data-table-selection-color;\n      }\n\n      &:hover {\n        background-color: $data-table-hover-color;\n      }\n    }\n  }\n\n  td, th {\n    padding: 0 $data-table-column-padding 12px $data-table-column-padding;\n    text-align: right;\n\n    &:first-of-type {\n      padding-left: 24px;\n    }\n\n    &:last-of-type {\n      padding-right: 24px;\n    }\n  }\n\n  td {\n    position: relative;\n    vertical-align: middle;\n    height: $data-table-row-height;\n    border-top: $data-table-dividers;\n    border-bottom: $data-table-dividers;\n    padding-top: $data-table-cell-top;\n    box-sizing: border-box;\n\n    .mdl-data-table__select {\n      vertical-align: middle;\n    }\n  }\n\n  th {\n    position: relative;\n    vertical-align: bottom;\n    text-overflow: ellipsis;\n    @include typo-body-2();\n    height: $data-table-row-height;\n    font-size: $data-table-header-font-size;\n    color: $data-table-header-color;\n    padding-bottom: 8px;\n    box-sizing: border-box;\n\n    &.mdl-data-table__header--sorted-ascending,\n    &.mdl-data-table__header--sorted-descending {\n      color: $data-table-header-sorted-color;\n      &:before {\n        @include typo-icon;\n        font-size: $data-table-header-sort-icon-size;\n        content: \"\\e5d8\";\n        margin-right: 5px;\n        vertical-align: sub;\n      }\n      &:hover {\n        cursor: pointer;\n        &:before {\n          color: $data-table-header-sorted-icon-hover-color;\n        }\n      }\n    }\n    &.mdl-data-table__header--sorted-descending:before {\n      content: \"\\e5db\";\n    }\n  }\n}\n\n.mdl-data-table__select {\n  width: 16px;\n}\n\n.mdl-data-table__cell--non-numeric.mdl-data-table__cell--non-numeric {\n  text-align: left;\n}\n","/**\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n/*------------------------------------*\\\n    $CONTENTS\n\\*------------------------------------*/\n/**\n * STYLE GUIDE VARIABLES------------------Declarations of Sass variables\n * -----Typography\n * -----Colors\n * -----Textfield\n * -----Switch\n * -----Spinner\n * -----Radio\n * -----Menu\n * -----List\n * -----Layout\n * -----Icon toggles\n * -----Footer\n * -----Column\n * -----Checkbox\n * -----Card\n * -----Button\n * -----Animation\n * -----Progress\n * -----Badge\n * -----Shadows\n * -----Grid\n * -----Data table\n * -----Dialog\n * -----Snackbar\n * -----Tooltip\n * -----Chip\n *\n * Even though all variables have the `!default` directive, most of them\n * should not be changed as they are dependent one another. This can cause\n * visual distortions (like alignment issues) that are hard to track down\n * and fix.\n */\n\n\n/* ==========  TYPOGRAPHY  ========== */\n\n/* We're splitting fonts into \"preferred\" and \"performance\" in order to optimize\n   page loading. For important text, such as the body, we want it to load\n   immediately and not wait for the web font load, whereas for other sections,\n   such as headers and titles, we're OK with things taking a bit longer to load.\n   We do have some optional classes and parameters in the mixins, in case you\n   definitely want to make sure you're using the preferred font and don't mind\n   the performance hit.\n   We should be able to improve on this once CSS Font Loading L3 becomes more\n   widely available.\n*/\n$preferred_font: 'Roboto', 'Helvetica', 'Arial', sans-serif !default;\n$performance_font: 'Helvetica', 'Arial', sans-serif !default;\n\n/* ==========  COLORS  ========== */\n\n/**\n*\n* Material design color palettes.\n* @see http://www.google.com/design/spec/style/color.html\n*\n**/\n\n@import \"color-definitions\";\n@import \"functions\";\n\n/* ==========  IMAGES  ========== */\n$image_path: '/images' !default;\n\n/* ==========  Color & Themes  ========== */\n\n// Define whether individual color palette items should have classes created.\n// Setting this to true will remove individual color classes for each color in the palettes.\n// To improve overall performance (assuming they aren't used) by:\n// * Saving server bandwidth sending the extra classes\n// * Save client computation against the classes\n// it is RECOMMENDED you set this to true.\n$trim-color-classes: false !default;\n\n// Use color primarily for emphasis. Choose colors that fit with\n// your brand and provide good contrast between visual components.\n$color-primary: $palette-indigo-500 !default;\n$color-primary-dark: $palette-indigo-700 !default;\n$color-accent: $palette-pink-A200 !default;\n\n// Our primary is dark, so use $color-dark-contrast for overlaid text.\n$color-primary-contrast: $color-dark-contrast !default;\n// Our accent is dark, so use $color-dark-contrast for overlaid text.\n$color-accent-contrast: $color-dark-contrast !default;\n\n// Replace all colors with placeholders if we're generating a template.\n@if $styleguide-generate-template == true {\n  $color-primary: '$color-primary';\n  $color-primary-dark: '$color-primary-dark';\n  $color-accent: '$color-accent';\n  $color-primary-contrast: '$color-primary-contrast';\n  $color-accent-contrast: '$color-accent-contrast';\n}\n\n/* ==========  Typography  ========== */\n\n// We use the following default color styles: text-color-primary and\n// text-color-secondary. For light themes, use text-color-primary-inverse\n// and text-color-secondary-inverse.\n\n$text-color-primary: unquote(\"rgba(#{$color-black}, 0.87)\") !default;\n$text-link-color: unquote(\"rgb(#{$color-accent})\") !default;\n\n// Define whether to target elements directly for typographic enhancements.\n// Turning this off means you need to use mdl-* classes more often.\n// Other components may also fail to adhere to MD without these rules.\n// It is strongly recommended you leave this as true.\n\n$target-elements-directly: true !default;\n\n/* ==========  Components  ========== */\n\n/* ==========  Standard Buttons  ========== */\n\n// Default button colors.\n$button-primary-color: unquote(\"rgba(#{$palette-grey-500}, 0.20)\") !default;\n$button-secondary-color: unquote(\"rgb(#{$color-black})\") !default;\n$button-hover-color: $button-primary-color !default;\n$button-active-color: unquote(\"rgba(#{$palette-grey-500}, 0.40)\") !default;\n$button-focus-color: unquote(\"rgba(#{$color-black}, 0.12)\") !default;\n\n// Colored button colors.\n$button-primary-color-alt: unquote(\"rgb(#{$color-primary})\") !default;\n$button-secondary-color-alt: unquote(\"rgb(#{$color-primary-contrast})\") !default;\n$button-hover-color-alt: unquote(\"rgb(#{$color-primary})\") !default;\n$button-active-color-alt: unquote(\"rgb(#{$color-primary})\") !default;\n$button-focus-color-alt: $button-focus-color !default;\n\n// Ripple color for colored raised buttons.\n$button-ripple-color-alt: unquote(\"rgb(#{$color-primary-contrast})\") !default;\n\n// Disabled button colors.\n$button-primary-color-disabled: unquote(\"rgba(#{$color-black}, 0.12)\") !default;\n$button-secondary-color-disabled: unquote(\"rgba(#{$color-black}, 0.26)\") !default;\n\n// FAB colors and sizes.\n$button-fab-color-alt: unquote(\"rgb(#{$color-accent})\") !default;\n$button-fab-hover-color-alt: unquote(\"rgb(#{$color-accent})\") !default;\n$button-fab-active-color-alt: unquote(\"rgb(#{$color-accent})\") !default;\n$button-fab-text-color-alt: unquote(\"rgb(#{$color-accent-contrast})\") !default;\n$button-fab-ripple-color-alt: unquote(\"rgb(#{$color-accent-contrast})\") !default;\n\n// Icon button colors and sizes.\n$button-icon-color: unquote(\"rgb(#{$palette-grey-700})\") !default;\n$button-icon-focus-color: $button-focus-color !default;\n\n/* ==========  Icon Toggles  ========== */\n\n$icon-toggle-color: unquote(\"rgb(#{$palette-grey-700})\") !default;\n$icon-toggle-focus-color: $button-focus-color !default;\n$icon-toggle-checked-color: unquote(\"rgb(#{$color-primary})\") !default;\n$icon-toggle-checked-focus-color: unquote(\"rgba(#{$color-primary}, 0.26)\") !default;\n$icon-toggle-disabled-color: unquote(\"rgba(#{$color-black}, 0.26)\") !default;\n\n/* ==========  Radio Buttons  ========== */\n\n$radio-color: unquote(\"rgb(#{$color-primary})\") !default;\n$radio-off-color: unquote(\"rgba(#{$color-black}, 0.54)\") !default;\n$radio-disabled-color: unquote(\"rgba(#{$color-black}, 0.26)\") !default;\n\n/* ==========  Ripple effect  ========== */\n\n$ripple-bg-color: unquote(\"rgb(#{$color-light-contrast})\") !default;\n\n/* ==========  Layout  ========== */\n\n$layout-nav-color: unquote(\"rgb(#{$palette-grey-300})\") !default;\n\n// Drawer\n$layout-drawer-bg-color: unquote(\"rgb(#{$palette-grey-50})\") !default;\n$layout-drawer-border-color: unquote(\"rgb(#{$palette-grey-300})\") !default;\n$layout-text-color: unquote(\"rgb(#{$palette-grey-800})\") !default;\n$layout-drawer-navigation-color: #757575 !default;\n$layout-drawer-navigation-link-active-background: unquote(\"rgb(#{$palette-grey-300})\") !default;\n$layout-drawer-navigation-link-active-color: unquote(\"rgb(#{$color-light-contrast})\") !default;\n\n// Header\n$layout-header-bg-color: unquote(\"rgb(#{$color-primary})\") !default;\n$layout-header-text-color: unquote(\"rgb(#{$color-primary-contrast})\") !default;\n$layout-header-nav-hover-color: unquote(\"rgba(#{$palette-grey-700}, 0.6)\") !default;\n$layout-header-tab-text-color: unquote(\"rgba(#{$color-primary-contrast}, 0.6)\") !default;\n\n// Tabs\n$layout-header-tab-highlight: unquote(\"rgb(#{$color-accent})\") !default;\n\n/* ==========  Content Tabs  ========== */\n\n$tab-highlight-color: unquote(\"rgb(#{$color-primary})\") !default;\n$tab-text-color: unquote(\"rgba(#{$color-black}, 0.54)\") !default;\n$tab-active-text-color: unquote(\"rgba(#{$color-black}, 0.87)\") !default;\n$tab-border-color: unquote(\"rgb(#{$palette-grey-300})\") !default;\n\n/* ==========  Checkboxes  ========== */\n\n$checkbox-color: unquote(\"rgb(#{$color-primary})\") !default;\n$checkbox-off-color: unquote(\"rgba(#{$color-black}, 0.54)\") !default;\n$checkbox-disabled-color: unquote(\"rgba(#{$color-black}, 0.26)\") !default;\n$checkbox-focus-color: unquote(\"rgba(#{$color-primary}, 0.26)\") !default;\n$checkbox-image-path: $image_path;\n\n/* ==========  Switches  ========== */\n\n$switch-color: unquote(\"rgb(#{$color-primary})\") !default;\n$switch-faded-color: unquote(\"rgba(#{$color-primary}, 0.26)\") !default;\n$switch-thumb-color: $switch-color !default;\n$switch-track-color: unquote(\"rgba(#{$color-primary}, 0.5)\") !default;\n\n$switch-off-thumb-color: unquote(\"rgb(#{$palette-grey-50})\") !default;\n$switch-off-track-color: unquote(\"rgba(#{$color-black}, 0.26)\") !default;\n$switch-disabled-thumb-color: unquote(\"rgb(#{$palette-grey-400})\") !default;\n$switch-disabled-track-color: unquote(\"rgba(#{$color-black}, 0.12)\") !default;\n\n/* ==========  Spinner  ========== */\n\n$spinner-color-1: unquote(\"rgb(#{$palette-blue-400})\") !default;\n$spinner-color-2: unquote(\"rgb(#{$palette-red-500})\") !default;\n$spinner-color-3: unquote(\"rgb(#{$palette-yellow-600})\") !default;\n$spinner-color-4: unquote(\"rgb(#{$palette-green-500})\") !default;\n\n$spinner-single-color: unquote(\"rgb(#{$color-primary})\") !default;\n\n/* ==========  Text fields  ========== */\n\n$input-text-background-color: transparent !default;\n$input-text-label-color: unquote(\"rgba(#{$color-black}, 0.26)\") !default;\n$input-text-bottom-border-color: unquote(\"rgba(#{$color-black}, 0.12)\") !default;\n$input-text-highlight-color: unquote(\"rgb(#{$color-primary})\") !default;\n$input-text-disabled-color: $input-text-bottom-border-color !default;\n$input-text-disabled-text-color: $input-text-label-color !default;\n$input-text-error-color: unquote(\"rgb(#{$palette-red-A700})\") !default;\n\n/* ==========  Card  ========== */\n\n$card-background-color: unquote(\"rgb(#{$color-white})\") !default;\n$card-text-color: unquote(\"rgb(#{$color-black})\") !default;\n$card-image-placeholder-color: unquote(\"rgb(#{$color-accent})\") !default;\n$card-supporting-text-text-color: unquote(\"rgba(#{$color-black}, 0.54)\") !default;\n$card-border-color: rgba(0,0,0,0.1) !default;\n$card-subtitle-color: unquote(\"rgba(#{$color-black}, 0.54)\") !default;\n\n/* ==========  Sliders ========== */\n\n$range-bg-color: unquote(\"rgba(#{$color-black}, 0.26)\") !default;\n$range-color: unquote(\"rgb(#{$color-primary})\") !default;\n$range-faded-color: unquote(\"rgba(#{$color-primary}, 0.26)\") !default;\n$range-bg-focus-color: unquote(\"rgba(#{$color-black}, 0.12)\") !default;\n\n/* ========== Progress ========== */\n$progress-main-color: unquote(\"rgb(#{$color-primary})\") !default;\n$progress-secondary-color: unquote(\"rgba(#{$color-primary-contrast}, 0.7)\") !default;\n$progress-fallback-buffer-color: unquote(\"rgba(#{$color-primary-contrast}, 0.9)\") !default;\n$progress-image-path: $image_path;\n\n/* ==========  List ========== */\n\n$list-main-text-text-color: unquote(\"rgba(#{$color-black}, 0.87)\") !default;\n$list-supporting-text-text-color: unquote(\"rgba(#{$color-black}, 0.54)\") !default;\n$list-icon-color: unquote(\"rgb(#{$palette-grey-600})\") !default;\n$list-avatar-color: white !default;\n\n/* ==========  Item ========== */\n\n// Default Item Colors\n$default-item-text-color: unquote(\"rgba(#{$color-black}, 0.87)\") !default;\n$default-item-outline-color: unquote(\"rgb(#{$palette-grey-400})\") !default;\n$default-item-hover-bg-color: unquote(\"rgb(#{$palette-grey-200})\") !default;\n$default-item-focus-bg-color: unquote(\"rgb(#{$palette-grey-200})\") !default;\n$default-item-active-bg-color: unquote(\"rgb(#{$palette-grey-300})\") !default;\n$default-item-divider-color: unquote(\"rgba(#{$color-black}, 0.12)\") !default;\n\n// Disabled Button Colors\n$disabled-item-text-color: unquote(\"rgb(#{$palette-grey-400})\") !default;\n\n/* ==========  Dropdown menu ========== */\n\n$default-dropdown-bg-color: unquote(\"rgb(#{$color-white})\") !default;\n\n/* ==========  Tooltips  ========== */\n\n$tooltip-text-color: unquote(\"rgb(#{$color-white})\") !default;\n$tooltip-background-color: unquote(\"rgba(#{$palette-grey-700}, 0.9)\") !default;\n\n/* ==========  Footer  ========== */\n\n$footer-bg-color: unquote(\"rgb(#{$palette-grey-800})\") !default;\n$footer-color: unquote(\"rgb(#{$palette-grey-500})\") !default;\n$footer-heading-color: unquote(\"rgb(#{$palette-grey-300})\") !default;\n$footer-button-fill-color: $footer-color !default;\n$footer-underline-color: $footer-color !default;\n\n\n/* TEXTFIELD */\n\n$input-text-font-size: 16px !default;\n$input-text-width: 100% !default;\n$input-text-padding: 4px !default;\n$input-text-vertical-spacing: 20px !default;\n\n$input-text-button-size: 32px !default;\n$input-text-floating-label-fontsize: 12px !default;\n$input-text-expandable-icon-top: 16px !default;\n\n\n/* SWITCH */\n\n$switch-label-font-size: 16px !default;\n$switch-label-height: 24px !default;\n$switch-track-height: 14px !default;\n$switch-track-length: 36px !default;\n$switch-thumb-size: 20px !default;\n$switch-track-top: ($switch-label-height - $switch-track-height) / 2 !default;\n$switch-thumb-top: ($switch-label-height - $switch-thumb-size) / 2 !default;\n$switch-ripple-size: $switch-label-height * 2 !default;\n$switch-helper-size: 8px !default;\n\n/* SPINNER */\n\n$spinner-size: 28px !default;\n$spinner-stroke-width: 3px !default;\n\n// Amount of circle the arc takes up.\n$spinner-arc-size: 270deg !default;\n// Time it takes to expand and contract arc.\n$spinner-arc-time: 1333ms !default;\n// How much the start location of the arc should rotate each time.\n$spinner-arc-start-rot: 216deg !default;\n\n$spinner-duration: 360 * $spinner-arc-time / (\n    strip-units($spinner-arc-start-rot + (360deg - $spinner-arc-size)));\n\n\n/* RADIO */\n\n$radio-label-font-size: 16px !default;\n$radio-label-height: 24px !default;\n$radio-button-size: 16px !default;\n$radio-inner-margin: $radio-button-size / 4;\n$radio-padding: 8px !default;\n$radio-top-offset: ($radio-label-height - $radio-button-size) / 2;\n$radio-ripple-size: 42px !default;\n\n\n/* MENU */\n\n$menu-expand-duration: 0.3s !default;\n$menu-fade-duration: 0.2s !default;\n\n/* LIST */\n\n$list-border: 8px !default;\n$list-min-height: 48px !default;\n$list-min-padding: 16px !default;\n$list-bottom-padding: 20px !default;\n$list-avatar-text-left-distance: 72px !default;\n$list-icon-text-left-distance: 72px !default;\n\n$list-avatar-size: 40px !default;\n$list-icon-size: 24px !default;\n\n$list-two-line-height: 72px !default;\n$list-three-line-height: 88px !default;\n\n/* LAYOUT */\n\n$layout-drawer-narrow: 240px !default;\n$layout-drawer-wide: 456px !default;\n$layout-drawer-width: $layout-drawer-narrow !default;\n\n$layout-header-icon-size: 32px !default;\n$layout-screen-size-threshold: 1024px !default;\n$layout-header-icon-margin: 24px !default;\n$layout-drawer-button-mobile-size: 32px !default;\n$layout-drawer-button-desktop-size: 48px !default;\n\n$layout-header-mobile-row-height: 56px !default;\n$layout-mobile-header-height: $layout-header-mobile-row-height;\n$layout-header-desktop-row-height: 64px !default;\n$layout-desktop-header-height: $layout-header-desktop-row-height;\n\n$layout-header-desktop-baseline: 80px !default;\n$layout-header-mobile-baseline: 72px !default;\n$layout-header-mobile-indent: 16px !default;\n$layout-header-desktop-indent: 40px !default;\n\n$layout-tab-font-size: 14px !default;\n$layout-tab-bar-height: 48px !default;\n$layout-tab-mobile-padding: 12px !default;\n$layout-tab-desktop-padding: 24px !default;\n$layout-tab-highlight-thickness: 2px !default;\n\n\n/* ICON TOGGLE */\n\n$icon-toggle-size: 32px !default;\n$icon-toggle-font-size: 24px !default;\n$icon-toggle-ripple-size: 36px !default;\n\n/* FOOTER */\n\n/*mega-footer*/\n$footer-min-padding: 16px !default;\n$footer-padding-sides: 40px !default;\n$footer-heading-font-size: 14px !default;\n$footer-heading-line-height: (1.7 * $footer-heading-font-size) !default;\n$footer-btn-size: 36px  !default;\n\n/*mini-footer*/\n$padding: 16px !default;\n$footer-heading-font-size: 24px !default;\n$footer-heading-line-height: (1.5 * $footer-heading-font-size) !default;\n$footer-btn-size: 36px !default;\n\n/* CHECKBOX */\n\n$checkbox-label-font-size: 16px !default;\n$checkbox-label-height: 24px !default;\n$checkbox-button-size: 16px !default;\n$checkbox-inner-margin: 2px !default;\n$checkbox-padding: 8px !default;\n$checkbox-top-offset:\n($checkbox-label-height - $checkbox-button-size - $checkbox-inner-margin) / 2;\n$checkbox-ripple-size: $checkbox-label-height * 1.5;\n\n/* CARD */\n\n/* Card dimensions */\n$card-width: 330px !default;\n$card-height: 200px !default;\n$card-font-size: 16px !default;\n$card-title-font-size: 24px !default;\n$card-subtitle-font-size: 14px !default;\n$card-horizontal-padding: 16px !default;\n$card-vertical-padding: 16px !default;\n\n$card-title-perspective-origin-x: 165px !default;\n$card-title-perspective-origin-y: 56px !default;\n\n$card-title-transform-origin-x: 165px !default;\n$card-title-transform-origin-y: 56px !default;\n\n$card-title-text-transform-origin-x: 149px !default;\n$card-title-text-transform-origin-y: 48px !default;\n\n$card-supporting-text-font-size: 1rem !default;\n$card-supporting-text-line-height: 18px !default;\n\n$card-actions-font-size: 16px !default;\n\n$card-title-text-font-weight: 300 !default;\n$card-z-index: 1 !default;\n\n/* Cover image */\n$card-cover-image-height: 186px !default;\n$card-background-image-url: '' !default;\n\n\n/* BUTTON */\n/**\n *\n * Dimensions\n *\n */\n$button-min-width: 64px !default;\n$button-height: 36px !default;\n$button-padding: 16px !default;\n$button-margin: 4px !default;\n$button-border-radius: 2px !default;\n\n$button-fab-size: 56px !default;\n$button-fab-size-mini: 40px !default;\n$button-fab-font-size: 24px !default;\n\n$button-icon-size: 32px !default;\n$button-icon-size-mini: 24px !default;\n\n\n/* ANIMATION */\n$animation-curve-fast-out-slow-in: cubic-bezier(0.4, 0, 0.2, 1) !default;\n$animation-curve-linear-out-slow-in: cubic-bezier(0, 0, 0.2, 1) !default;\n$animation-curve-fast-out-linear-in: cubic-bezier(0.4, 0, 1, 1) !default;\n\n$animation-curve-default: $animation-curve-fast-out-slow-in !default;\n\n\n/* PROGRESS */\n$bar-height: 4px !default;\n\n/* BADGE */\n$badge-font-size: 12px !default;\n$badge-color: unquote(\"rgb(#{$color-accent-contrast})\") !default;\n$badge-color-inverse: unquote(\"rgb(#{$color-accent})\") !default;\n$badge-background: unquote(\"rgb(#{$color-accent})\") !default;\n$badge-background-inverse: unquote(\"rgba(#{$color-accent-contrast},0.2)\") !default;\n$badge-size : 22px !default;\n$badge-padding: 2px !default;\n$badge-overlap: 12px !default;\n\n/* SHADOWS */\n\n$shadow-key-umbra-opacity: 0.2 !default;\n$shadow-key-penumbra-opacity: 0.14 !default;\n$shadow-ambient-shadow-opacity: 0.12 !default;\n\n/* GRID */\n\n$grid-desktop-columns: 12 !default;\n$grid-desktop-gutter: 16px !default;\n$grid-desktop-margin: 16px !default;\n\n$grid-desktop-breakpoint: 840px !default;\n\n$grid-tablet-columns: 8 !default;\n$grid-tablet-gutter: $grid-desktop-gutter !default;\n$grid-tablet-margin: $grid-desktop-margin !default;\n\n$grid-tablet-breakpoint: 480px !default;\n\n$grid-phone-columns: 4 !default;\n$grid-phone-gutter: $grid-desktop-gutter !default;\n$grid-phone-margin: $grid-desktop-margin !default;\n\n$grid-cell-default-columns: $grid-phone-columns !default;\n$grid-max-columns: $grid-desktop-columns !default;\n\n/* DATA TABLE */\n\n$data-table-font-size: 13px !default;\n$data-table-header-font-size: 12px !default;\n$data-table-header-sort-icon-size: 16px !default;\n\n$data-table-header-color: rgba(#000, 0.54) !default;\n$data-table-header-sorted-color: rgba(#000, 0.87) !default;\n$data-table-header-sorted-icon-hover-color: rgba(#000, 0.26) !default;\n$data-table-divider-color: rgba(#000, 0.12) !default;\n\n$data-table-hover-color: #eeeeee !default;\n$data-table-selection-color: #e0e0e0 !default;\n\n$data-table-dividers: 1px solid $data-table-divider-color !default;\n\n$data-table-row-height: 48px !default;\n$data-table-last-row-height: 56px !default;\n$data-table-header-height: 56px !default;\n\n$data-table-column-spacing: 36px !default;\n$data-table-column-padding: $data-table-column-spacing / 2;\n\n$data-table-card-header-height: 64px !default;\n$data-table-card-title-top: 20px !default;\n$data-table-card-padding: 24px !default;\n$data-table-button-padding-right: 16px !default;\n$data-table-cell-top: $data-table-card-padding / 2;\n\n/* DIALOG */\n$dialog-content-color: $card-supporting-text-text-color;\n\n/* SNACKBAR */\n\n// Hard coded since the color is not present in any palette.\n$snackbar-background-color: #323232 !default;\n$snackbar-tablet-breakpoint: $grid-tablet-breakpoint;\n$snackbar-action-color: unquote(\"rgb(#{$color-accent})\") !default;\n\n/* TOOLTIP */\n$tooltip-font-size: 10px !default;\n$tooltip-font-size-large: 14px !default;\n\n/* CHIP */\n$chip-bg-color: rgb(222, 222, 222) !default;\n$chip-bg-active-color: rgb(214, 214, 214) !default;\n$chip-height: 32px !default;\n$chip-font-size: 13px !default; \n","/**\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      https:///www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n@import \"../variables\";\n\n.mdl-mini-footer {\n  display: flex;\n  flex-flow: row wrap;\n  justify-content: space-between;\n\n  padding: ($padding * 2) $padding;\n\n  color: $footer-color;\n  background-color: $footer-bg-color;\n\n  &:after {\n    content: '';\n    display: block;\n  }\n\n  & .mdl-logo {\n    line-height: $footer-btn-size;\n  }\n}\n\n.mdl-mini-footer--link-list,\n.mdl-mini-footer__link-list {\n  display: flex;\n  flex-flow: row nowrap;\n\n  list-style: none;\n\n  margin: 0;\n  padding: 0;\n\n  & li {\n    margin-bottom: 0;\n    margin-right: $padding;\n\n    @media screen and (min-width: 760px) {\n      line-height: $footer-btn-size;\n    }\n  }\n\n  & a {\n    color: inherit;\n    text-decoration: none;\n    white-space: nowrap;\n  }\n}\n\n.mdl-mini-footer--left-section,\n.mdl-mini-footer__left-section {\n  display: inline-block;\n  order: 0;\n}\n\n.mdl-mini-footer--right-section,\n.mdl-mini-footer__right-section {\n  display: inline-block;\n  order: 1;\n}\n\n.mdl-mini-footer--social-btn,\n.mdl-mini-footer__social-btn {\n  width: $footer-btn-size;\n  height: $footer-btn-size;\n\n  padding: 0;\n  margin: 0;\n\n  background-color: $footer-button-fill-color;\n\n  border: none;\n}\n","/**\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n@import \"../variables\";\n\n.mdl-card {\n  display: flex;\n  flex-direction: column;\n  font-size: $card-font-size;\n  font-weight: 400;\n  min-height: $card-height;\n  overflow: hidden;\n  width: $card-width;\n  z-index: $card-z-index;\n  position: relative;\n  background: $card-background-color;\n  border-radius: 2px;\n  box-sizing: border-box;\n}\n\n.mdl-card__media {\n  background-color: $card-image-placeholder-color;\n  background-repeat: repeat;\n  background-position: 50% 50%;\n  background-size: cover;\n  background-origin: padding-box;\n  background-attachment: scroll;\n  box-sizing: border-box;\n}\n\n.mdl-card__title {\n  align-items: center;\n  color: $card-text-color;\n  display: block;\n  display: flex;\n  justify-content: stretch;\n  line-height: normal;\n  padding: $card-vertical-padding $card-horizontal-padding;\n  perspective-origin: $card-title-perspective-origin-x $card-title-perspective-origin-y;\n  transform-origin: $card-title-transform-origin-x $card-title-transform-origin-y;\n  box-sizing: border-box;\n\n  &.mdl-card--border {\n    border-bottom: 1px solid $card-border-color;\n  }\n}\n\n.mdl-card__title-text {\n  align-self: flex-end;\n  color: inherit;\n  display: block;\n  display: flex;\n  font-size: $card-title-font-size;\n  font-weight: $card-title-text-font-weight;\n  line-height: normal;\n  overflow: hidden;\n  transform-origin: $card-title-text-transform-origin-x $card-title-text-transform-origin-y;\n  margin: 0;\n}\n\n.mdl-card__subtitle-text {\n  font-size: $card-subtitle-font-size;\n  color: $card-subtitle-color;\n  margin: 0;\n}\n\n.mdl-card__supporting-text {\n  color: $card-supporting-text-text-color;\n  font-size: $card-supporting-text-font-size;\n  line-height: $card-supporting-text-line-height;\n  overflow: hidden;\n  padding: $card-vertical-padding $card-horizontal-padding;\n  width: 90%;\n\n  &.mdl-card--border {\n    border-bottom: 1px solid $card-border-color;\n  }\n}\n\n.mdl-card__actions {\n  font-size: $card-actions-font-size;\n  line-height: normal;\n  width: 100%;\n  background-color: rgba(0,0,0,0);\n  padding: 8px;\n  box-sizing: border-box;\n\n  &.mdl-card--border {\n    border-top: 1px solid $card-border-color;\n  }\n}\n\n.mdl-card--expand {\n  flex-grow: 1;\n}\n\n\n.mdl-card__menu {\n  position: absolute;\n  right: 16px;\n  top: 16px;\n}\n","/**\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      https:///www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n@import \"../variables\";\n@import \"../mixins\";\n\n// The button component. Defaults to a flat button.\n.mdl-button {\n  background: transparent;\n  border: none;\n  border-radius: $button-border-radius;\n  color: $button-secondary-color;\n  position: relative;\n  height: $button-height;\n  margin: 0;\n  min-width: $button-min-width;\n  padding: 0 $button-padding;\n  display: inline-block;\n  @include typo-button();\n  overflow: hidden;\n  will-change: box-shadow;\n  transition: box-shadow 0.2s $animation-curve-fast-out-linear-in,\n              background-color 0.2s $animation-curve-default,\n              color 0.2s $animation-curve-default;\n  outline: none;\n  cursor: pointer;\n  text-decoration: none;\n  text-align: center;\n  line-height: $button-height;\n  vertical-align: middle;\n\n  &::-moz-focus-inner {\n    border: 0;\n  }\n\n  &:hover {\n    background-color: $button-hover-color;\n  }\n\n  &:focus:not(:active) {\n    background-color: $button-focus-color;\n  }\n\n  &:active {\n    background-color: $button-active-color;\n  }\n\n  &.mdl-button--colored {\n    color: $button-primary-color-alt;\n\n    &:focus:not(:active) {\n      background-color: $button-focus-color-alt;\n    }\n  }\n}\n\ninput.mdl-button[type=\"submit\"] {\n  -webkit-appearance:none;\n}\n\n  // Raised buttons\n  .mdl-button--raised {\n    background: $button-primary-color;\n    @include shadow-2dp();\n\n    &:active {\n      @include shadow-4dp();\n      background-color: $button-active-color;\n    }\n\n    &:focus:not(:active) {\n      @include focus-shadow();\n      background-color: $button-active-color;\n    }\n\n    &.mdl-button--colored {\n      background: $button-primary-color-alt;\n      color: $button-secondary-color-alt;\n\n      &:hover {\n        background-color: $button-hover-color-alt;\n      }\n\n      &:active {\n        background-color: $button-active-color-alt;\n      }\n\n      &:focus:not(:active) {\n        background-color: $button-active-color-alt;\n      }\n\n      & .mdl-ripple {\n        background: $button-ripple-color-alt;\n      }\n    }\n  }\n\n\n  // FABs\n  .mdl-button--fab {\n    border-radius: 50%;\n    font-size: $button-fab-font-size;\n    height: $button-fab-size;\n    margin: auto;\n    min-width: $button-fab-size;\n    width: $button-fab-size;\n    padding: 0;\n    overflow: hidden;\n    background: $button-primary-color;\n    box-shadow: 0 1px 1.5px 0 rgba(0,0,0,0.12), 0 1px 1px 0 rgba(0,0,0,0.24);\n    position: relative;\n    line-height: normal;\n\n    & .material-icons {\n      position: absolute;\n      top: 50%;\n      left: 50%;\n      transform: translate(- $button-fab-font-size / 2, - $button-fab-font-size / 2);\n      line-height: $button-fab-font-size;\n      width: $button-fab-font-size;\n    }\n\n    &.mdl-button--mini-fab {\n      height: $button-fab-size-mini;\n      min-width: $button-fab-size-mini;\n      width: $button-fab-size-mini;\n    }\n\n    & .mdl-button__ripple-container {\n      border-radius: 50%;\n      // Fixes clipping bug in Safari.\n      -webkit-mask-image: -webkit-radial-gradient(circle, white, black);\n    }\n\n    &:active {\n      @include shadow-4dp();\n      background-color: $button-active-color;\n    }\n\n    &:focus:not(:active) {\n      @include focus-shadow();\n      background-color: $button-active-color;\n    }\n\n    &.mdl-button--colored {\n      background: $button-fab-color-alt;\n      color: $button-fab-text-color-alt;\n\n      &:hover {\n        background-color: $button-fab-hover-color-alt;\n      }\n\n      &:focus:not(:active) {\n        background-color: $button-fab-active-color-alt;\n      }\n\n      &:active {\n        background-color: $button-fab-active-color-alt;\n      }\n\n      & .mdl-ripple {\n        background: $button-fab-ripple-color-alt;\n      }\n    }\n  }\n\n\n  // Icon buttons\n  .mdl-button--icon {\n    border-radius: 50%;\n    font-size: $button-fab-font-size;\n    height: $button-icon-size;\n    margin-left: 0;\n    margin-right: 0;\n    min-width: $button-icon-size;\n    width: $button-icon-size;\n    padding: 0;\n    overflow: hidden;\n    color: inherit;\n    line-height: normal;\n\n    & .material-icons {\n      position: absolute;\n      top: 50%;\n      left: 50%;\n      transform: translate(- $button-fab-font-size / 2, - $button-fab-font-size / 2);\n      line-height: $button-fab-font-size;\n      width: $button-fab-font-size;\n    }\n\n    &.mdl-button--mini-icon {\n      height: $button-icon-size-mini;\n      min-width: $button-icon-size-mini;\n      width: $button-icon-size-mini;\n\n      & .material-icons {\n        top: ($button-icon-size-mini - $button-fab-font-size) / 2;\n        left: ($button-icon-size-mini - $button-fab-font-size) / 2;\n      }\n    }\n\n    & .mdl-button__ripple-container {\n      border-radius: 50%;\n      // Fixes clipping bug in Safari.\n      -webkit-mask-image: -webkit-radial-gradient(circle, white, black);\n    }\n  }\n\n\n  // Ripples\n  .mdl-button__ripple-container {\n    display: block;\n    height: 100%;\n    left: 0px;\n    position: absolute;\n    top: 0px;\n    width: 100%;\n    z-index: 0;\n    overflow: hidden;\n\n    .mdl-button[disabled] & .mdl-ripple,\n    .mdl-button.mdl-button--disabled & .mdl-ripple {\n      background-color: transparent;\n    }\n  }\n\n// Colorized buttons\n\n.mdl-button--primary.mdl-button--primary {\n  color: $button-primary-color-alt;\n  & .mdl-ripple {\n    background: $button-secondary-color-alt;\n  }\n  &.mdl-button--raised, &.mdl-button--fab {\n    color: $button-secondary-color-alt;\n    background-color: $button-primary-color-alt;\n  }\n}\n\n.mdl-button--accent.mdl-button--accent {\n  color: $button-fab-color-alt;\n  & .mdl-ripple {\n    background: $button-fab-text-color-alt;\n  }\n  &.mdl-button--raised, &.mdl-button--fab {\n    color: $button-fab-text-color-alt;\n    background-color: $button-fab-color-alt;\n  }\n}\n\n// Disabled buttons\n\n.mdl-button {\n  // Bump up specificity by using [disabled] twice.\n  &[disabled][disabled],\n  &.mdl-button--disabled.mdl-button--disabled {\n    color: $button-secondary-color-disabled;\n    cursor: default;\n    background-color: transparent;\n  }\n\n  &--fab {\n    // Bump up specificity by using [disabled] twice.\n    &[disabled][disabled],\n    &.mdl-button--disabled.mdl-button--disabled {\n      background-color: $button-primary-color-disabled;\n      color: $button-secondary-color-disabled;\n    }\n  }\n\n  &--raised {\n    // Bump up specificity by using [disabled] twice.\n    &[disabled][disabled],\n    &.mdl-button--disabled.mdl-button--disabled {\n      background-color: $button-primary-color-disabled;\n      color: $button-secondary-color-disabled;\n      box-shadow: none;\n    }\n  }\n  &--colored {\n    // Bump up specificity by using [disabled] twice.\n    &[disabled][disabled],\n    &.mdl-button--disabled.mdl-button--disabled {\n      color: $button-secondary-color-disabled;\n    }\n  }\n}\n\n// Align icons inside buttons with text\n.mdl-button .material-icons {\n  vertical-align: middle;\n}\n","// SIMPLE GRID - SASS/SCSS\n\n\n// fonts\n$font-weight-light: 300;\n$font-weight-regular: 400;\n$font-weight-heavy: 700;\n\n// colors\n$dark-grey: #333447;\n$dark-gray: #333447; // for the Americans\n\n\n.font-light {\n  font-weight: $font-weight-light;\n}\n\n.font-regular {\n  font-weight: $font-weight-regular;\n}\n\n.font-heavy {\n  font-weight: $font-weight-heavy;\n}\n\n// utility\n\n.left {\n  text-align: left;\n}\n\n.right {\n  text-align: right;\n}\n\n.center {\n  text-align: center;\n  margin-left: auto;\n  margin-right: auto;\n}\n\n.justify {\n  text-align: justify;\n}\n\n.hidden-sm {\n  display: none;\n}\n\n// grid\n\n$width: 98%;\n$gutter: 2%;\n$breakpoint-small: 33.75em; // 540px\n$breakpoint-med: 45em; // 720px\n$breakpoint-large: 60em; // 960px\n\n.container {\n  width: 100%;\n  margin-left: auto;\n  margin-right: auto;\n\n  @media only screen and (min-width: $breakpoint-small) {\n    width: 80%;\n  }\n\n  @media only screen and (min-width: $breakpoint-large) {\n    width: 75%;\n    max-width: 60rem;\n  }\n}\n\n.row {\n  position: relative;\n  width: 100%;\n}\n\n.row [class^=\"col\"] {\n  float: left;\n  margin: 0.5rem 1%;\n  min-height: 0.125rem;\n}\n\n.row::after {\n  content: \"\";\n  display: table;\n  clear: both;\n}\n\n.col-1,\n.col-2,\n.col-3,\n.col-4,\n.col-5,\n.col-6,\n.col-7,\n.col-8,\n.col-9,\n.col-10,\n.col-11,\n.col-12 {\n  width: $width;\n}\n\n.col-1-sm {\n  width: ($width / 12) - ($gutter * 11 / 12);\n}\n\n.col-2-sm {\n  width: ($width / 6) - ($gutter * 10 / 12);\n}\n\n.col-3-sm {\n  width: ($width / 4) - ($gutter * 9 / 12);\n}\n\n.col-4-sm {\n  width: ($width / 3) - ($gutter * 8 / 12);\n}\n\n.col-5-sm {\n  width: ($width / (12 / 5)) - ($gutter * 7 / 12);\n}\n\n.col-6-sm {\n  width: ($width / 2) - ($gutter * 6 / 12);\n}\n\n.col-7-sm {\n  width: ($width / (12 / 7)) - ($gutter * 5 / 12);\n}\n\n.col-8-sm {\n  width: ($width / (12 / 8)) - ($gutter * 4 / 12);\n}\n\n.col-9-sm {\n  width: ($width / (12 / 9)) - ($gutter * 3 / 12);\n}\n\n.col-10-sm {\n  width: ($width / (12 / 10)) - ($gutter * 2 / 12);\n}\n\n.col-11-sm {\n  width: ($width / (12 / 11)) - ($gutter * 1 / 12);\n}\n\n.col-12-sm {\n  width: $width;\n}\n\n@media only screen and (min-width: $breakpoint-med) {\n  .col-1 {\n    width: ($width / 12) - ($gutter * 11 / 12);\n  }\n  .col-2 {\n    width: ($width / 6) - ($gutter * 10 / 12);\n  }\n  .col-3 {\n    width: ($width / 4) - ($gutter * 9 / 12);\n  }\n  .col-4 {\n    width: ($width / 3) - ($gutter * 8 / 12);\n  }\n  .col-5 {\n    width: ($width / (12 / 5)) - ($gutter * 7 / 12);\n  }\n  .col-6 {\n    width: ($width / 2) - ($gutter * 6 / 12);\n  }\n  .col-7 {\n    width: ($width / (12 / 7)) - ($gutter * 5 / 12);\n  }\n  .col-8 {\n    width: ($width / (12 / 8)) - ($gutter * 4 / 12);\n  }\n  .col-9 {\n    width: ($width / (12 / 9)) - ($gutter * 3 / 12);\n  }\n  .col-10 {\n    width: ($width / (12 / 10)) - ($gutter * 2 / 12);\n  }\n  .col-11 {\n    width: ($width / (12 / 11)) - ($gutter * 1 / 12);\n  }\n  .col-12 {\n    width: $width;\n  }\n\n  .hidden-sm {\n    display: block;\n  }\n}\n\n.row {\n  display: -webkit-box;\n  display: -webkit-flex;\n  display: -ms-flexbox;\n  display: flex;\n  flex-wrap: wrap;\n}\n\n.row > [class*='col-'] {\n  display: flex;\n  flex-direction: column;\n}\n","\n/*\nMaterial Icons\n*/\n\n.material-icons {\n    font-family: 'Material Icons';\n    font-weight: normal;\n    font-style: normal;\n    font-size: 24px;  /* Preferred icon size */\n    display: inline-block;\n    line-height: 1;\n    text-transform: none;\n    letter-spacing: normal;\n    word-wrap: normal;\n    white-space: nowrap;\n    direction: ltr;\n  \n    /* Support for all WebKit browsers. */\n    -webkit-font-smoothing: antialiased;\n    /* Support for Safari and Chrome. */\n    text-rendering: optimizeLegibility;\n  \n    /* Support for Firefox. */\n    -moz-osx-font-smoothing: grayscale;\n  \n    /* Support for IE. */\n    font-feature-settings: 'liga';\n  }","html {\n    font-size: $font_size;\n}\n\nbody {\n    display: block !important;\n    background-color: $background_color;\n    font-size: 1rem;\n    line-height: 1.5rem;\n    font-family: $body_font_family;\n}\n\n.mdl-layout__content:focus {\n    outline: none;\n }\n\nh1, h2, h3, h4, h5, h6, blockquote, span.mdl-layout-title,\na.download > code.download {\n    font-family: $body_font_family;\n}\n\nh1, h2, h3, h4, h5, h6, .toc-backref, .contents, .toctree-wrapper, .contents a, .toctree-wrapper a, .globaltoc a.current {\n    color: $color-mxnet !important;\n}\n\na {\n    text-decoration: none;\n}\n\n.page-content {\n    font-size: 1rem;\n    p, ul, ol, dl, dd, dt, table, th, td {\n        font-size: 1rem;\n    }\n}\n\n.brand {\n    color: inherit;\n    text-decoration: none;\n}\n\n.section {\n    overflow-x: auto;\n}\n\n\n/*\n *  Figure Directive Styles\n */\n img {\n    max-width: 100%;\n    display: block;\n    margin-left: auto;\n    margin-right: auto;\n }\n\ndiv.figure {\n    p.caption {\n        text-align: center;\n        margin-top: .75rem;\n\n        span.caption-number {\n            font-style: normal;\n        }\n        .caption-number::after {\n            content: \"\\00a0\";\n        }\n    }\n}\n\n.svg-icon {\n  width: 16px;\n  height: 16px;\n  display: inline-block;\n  fill: $grey-color-light;\n  padding-right: 5px;\n  padding-top: 4px;\n  vertical-align: text-top;\n}\n\n/*\n * Download Link Styles\n */\na.download > i.material-icons {\n    position: relative;\n    top: 5px;\n}\n\na.download {\n    text-decoration: none;\n}\n\n%clearfix:after {\n  content: \"\";\n  display: table;\n  clear: both;\n}\n\n.wrapper {\n  max-width: -webkit-calc(#{$content-width} - (#{$spacing-unit} * 2));\n  max-width: calc(#{$content-width} - (#{$spacing-unit} * 2));\n  margin-right: auto;\n  margin-left: auto;\n  padding-right: calc(#{$spacing-unit}+15px);\n  padding-left: $spacing-unit;\n  @extend %clearfix;\n\n  @media screen and (max-width: $on-laptop) {\n    max-width: -webkit-calc(#{$content-width} - (#{$spacing-unit}));\n    max-width: calc(#{$content-width} - (#{$spacing-unit}));\n    padding-right: $spacing-unit / 2;\n    padding-left: $spacing-unit / 2;\n  }\n}\n\n","/*\nVariables\n*/\n$font_size: 16px;\n\n$background_color: #fafafa;\n$code_background: rgba(0,0,0,.05);\n\n$code_font_family: \"Menlo\", \"DejaVu Sans Mono\", \"Liberation Mono\", \"Consolas\", \"Ubuntu Mono\", \"Courier New\", \"andale mono\", \"lucida console\", monospace !default;\n$body_font_family: -apple-system,BlinkMacSystemFont,\"Segoe UI\",Roboto,\"Helvetica Neue\",Arial,sans-serif,\"Apple Color Emoji\",\"Segoe UI Emoji\",\"Segoe UI Symbol\" !default;\n$base-font-size:   17px !default;\n\n$xl-breakpoint: 1795px;\n$lg-breakpoint: 1200px;\n$md-breakpoint: 992px;\n$sm-breakpoint: 768px;\n$xs-breakpoint: 576px;\n\n$color-primary: $palette-blue-500;\n$color-primary-dark: $palette-blue-700 !default;\n$color-accent: $palette-deep-orange-A200 !default;\n$color-primary-contrast: $color-white !default;\n$color-accent-contrast: $color-white !default;\n\n\n$base-line-height: 1.5 !default;\n$spacing-unit:     30px !default;\n\n$color-mxnet: rgb(4,140,204);\n$color-mxnet-dark: rgb(4,60,110);\n$grey-color:       #828282 !default;\n$grey-color-light: lighten($grey-color, 45%) !default;\n$grey-color-dark:  darken($grey-color, 25%) !default;\n\n$table-text-align: left !default;\n\n// Width of the content area\n$content-width:    1150px !default;\n\n$on-palm:          600px !default;\n$on-palm:          900px !default;\n$on-laptop:        1024px !default;","/**\n * Layout Styles\n */\n $layout: (\n    document: (\n        xl: (\n            width: 1400px,\n        )\n    ),\n    drawer-container: (\n        width: $layout-drawer-width,\n    ),\n    side-doc-outline: (\n        width: 230px,\n    ),\n    page-content: (\n        md: (\n            width: 90%,\n            padding: 0 5%\n        ),\n        lg: (\n            width: calc( 90% - 230px ),\n            padding: 0 5%\n        )\n    )\n);\n\n.mdl-layout {\n    margin-top: 76px;\n}\n\n\n.document {\n    width: 100%;\n    margin: 0 auto;\n    display: flex;\n\n    @media (min-width: $xl-breakpoint) {\n        width: map-get(map-get(map-get($layout, document), xl), width);\n    }\n    .page-content {\n        width: 100%;\n        margin: 0 auto;\n        padding: 0 12px;\n\n        @media (min-width: $md-breakpoint) {\n            width: map-get(map-get(map-get($layout, page-content), md), width);\n            padding: map-get(map-get(map-get($layout, page-content), md), padding);\n        }\n\n        @media (min-width: $lg-breakpoint) {\n            width: map-get(map-get(map-get($layout, page-content), lg), width);\n            padding: map-get(map-get(map-get($layout, page-content), lg), padding);\n        }\n    }\n\n    .side-doc-outline {\n        width: map-get(map-get($layout, side-doc-outline), width);\n\n        @media (max-width: $lg-breakpoint - 1) {\n            display: none;\n        } \n        &--content {\n            position: fixed;\n            overflow-x: auto;\n            overflow-y: auto;\n            width: inherit;\n            &::-webkit-scrollbar {\n                width: 6px;\n            }\n    \n            &::-webkit-scrollbar-track {\n                border-radius: 6px;\n            }\n    \n            &::-webkit-scrollbar-thumb {\n                background-color: rgba(0, 0, 0, .3);\n                border-radius: 6px;\n                box-shadow:0 0 0 1px rgba(255, 255, 255, .3);\n            }\n        }\n    }\n\n}","@keyframes float-in {\n    0% {\n        transform: translateY(0.5rem);\n        opacity: 0;\n    }\n\t100% {\n\t\ttransform: translateY(0);\n\t\topacity: 1;\n\t}\n}\n\n@keyframes float-out {\n    0% {\n        transform: translateY(0);\n        opacity: 1;\n    }\n\t100% {\n\t\ttransform: translateY(0.5rem);\n\t\topacity: 0;\n\t}\n}\n\n.page-content {\n    .headerlink {\n        display: inline-block;\n        text-decoration: none;\n        margin-left: 0.8rem;\n        color: inherit;\n        opacity: 0;\n        &:hover {\n            animation: float-in 0.2s $animation-curve-fast-out-slow-in 0s forwards;\n        }\n    }\n\n    h1, h2, h3, h4, h5, h6 {\n        .toc-backref {\n            text-decoration: none;\n        }\n        &:hover {\n            .headerlink {\n                animation: float-in 0.2s $animation-curve-fast-out-slow-in 0s forwards;\n            }\n        }\n    }\n\n    h1 {\n        font-size: 2rem;\n        line-height: 2.25rem;\n    }\n\n    h2 {\n        font-size: 1.75rem;\n        line-height: 2rem;\n        padding-top: 1.5rem;\n        margin-top: 0;\n        margin-bottom: 1rem;\n    }\n\n    h3 {\n        font-size: 1.5rem;\n        line-height: 1.75rem;\n        padding-top: 1rem;\n        margin-top: 0px;\n        margin-bottom: .75rem;\n    }\n\n    h4 {\n        font-size: 1.25rem;\n        line-height: 1.5rem;\n        padding-top: .75rem;\n        margin-top: 0px;\n        margin-bottom: .5rem;\n    }\n\n    div.page-content h5 {\n        font-size: 1.1rem;\n        line-height: 1.5rem;\n        padding-top: 2rem;\n        margin-top: 0px;\n        margin-bottom: 1rem;\n    }\n\n    div.page-content h6 {\n        font-size: 1rem;\n        line-height: 1.5rem;\n        padding-top: 2rem;\n        margin-top: 0px;\n        margin-bottom: 1rem;\n    }\n\n\n}\n","\n/*\n * Admonition Styles\n */\n $admonitions: (\n    hint: (\n        font-color: rgb(0, 188, 212),\n        background-color: rgba(0, 188, 212, 0.1),\n        icon-content: \"help_outline\"\n    ),\n    note: (\n        font-color: rgb(0, 188, 212),\n        background-color: rgba(0, 188, 212, 0.1),\n        icon-content: \"info_outline\"\n    ),\n    seealso: (\n        font-color: rgb(0, 188, 212),\n        background-color: rgba(0, 188, 212, 0.1),\n        icon-content: \"search\"\n    ),\n    warning: (\n        font-color: rgb(255, 193, 7),\n        background-color: rgba(255, 193, 7, 0.1),\n        icon-content: \"warning\"\n    ),\n    attention: (\n        font-color: rgb(255, 193, 7),\n        background-color: rgba(255, 193, 7, 0.1),\n        icon-content: \"warning\"\n    ),\n    tip: (\n        font-color: rgb(139, 195, 74),\n        background-color: rgba(139, 195, 74, 0.1),\n        icon-content: \"lightbulb_outline\"\n    ),\n    important: (\n        font-color: rgb(139, 195, 74),\n        background-color: rgba(139, 195, 74, 0.1),\n        icon-content:  \"check_circle\"\n    ),\n    error: (\n        font-color: rgb(244, 67, 54),\n        background-color: rgba(244, 67, 54, 0.1),\n        icon-content: \"error_outline\"\n    ),\n    caution: (\n        font-color: rgb(244, 67, 54),\n        background-color: rgba(244, 67, 54, 0.1),\n        icon-content: \"error_outline\"\n    ),\n    danger: (\n        font-color: rgb(244, 67, 54),\n        background-color: rgba(244, 67, 54, 0.1),\n        icon-content: \"error_outline\"\n    )\n);\n\n @mixin admonition-style($type) {\n    border-left: solid 4px map-get(map-get($admonitions, $type), font-color);\n    background-color: map-get(map-get($admonitions, $type), background-color);\n    .admonition-title {\n        font-size: 16px;\n        font-weight: bold;\n        color: map-get(map-get($admonitions, $type), font-color);\n\n        margin-top: 4px;\n        margin-bottom: 8px;\n        &::before {\n            @extend .material-icons;\n            position: relative;\n            margin-right: 5px;\n            top: 3px;\n            content: map-get(map-get($admonitions, $type), icon-content);\n            font-size: 18px;\n        }\n    }\n}\n\n.admonition {\n    @extend .mdl-shadow--2dp;\n\n    padding: 12px 20px;\n    margin-top: 10px;\n    margin-bottom: 10px;\n    p.last {\n        margin: 16px;\n    }\n    .admonition-title {\n        font-size: 16px;\n        font-weight: bold;\n        color: #555;\n        text-transform: uppercase;\n        margin-top: 7px;\n    }\n\n    @each $type in (note, seealso, hint, warning, attention, tip, important, error, caution, danger) {\n        &.#{$type} {\n            @include admonition-style($type);\n        }\n    }\n}\n",".page-content {\n    .highlight {\n        margin: 1px 0;\n        pre {\n            background: $code_background;\n            color: rgba(0,0,0,.87);\n            font-family: $code_font_family;\n            padding: 0.75rem;\n            overflow: auto;\n            overflow-y: hidden;\n            .o, .nd {\n                color: rgba(0,0,0,.87);\n            }\n        }\n    }\n\n    div.highlight-console div.highlight {\n        background: none;\n    }\n\n    // for jupyter notebook output cell\n    .output {\n        .highlight {\n            pre {\n                color: rgba(0,0,0,.87);\n                background: $background_color;\n                border-width: 1px;\n                border-color: #999;\n                border-style: solid;\n                padding: 0.75rem;\n            }\n        }\n     }\n\n    .code, code:not(.download) {\n        margin: 0 0;\n        font-family: $code_font_family;\n        border-radius: 2px;\n        span.pre {\n            font-family: $code_font_family;\n        }\n    }\n\n    .viewcode-link {\n        padding-left: 2em;\n        font-size: 80%;\n    }\n\n    .rubric, .method > dt, .function > dt, .class > dt {\n        display: table;\n        margin: 10px 0;\n        font-size: 100%;\n        line-height: normal;\n        background: #e7f2fa;\n        color: #2B98F0;\n        border-top: solid 3px #55ADF3;\n        padding: 10px;\n        position: relative;\n        .descname, .descclassname {\n            color: rgba(0,0,0,.87);\n            background: #e7f2fa;\n            padding: 3px;\n        }\n        em {\n            padding: 0 2px;\n        }\n    }\n\n\n    .rubric {\n        margin: 30px 0 10px 0;\n     }\n\n\n    .field-body {\n        padding-left: 40px;\n        ul {\n            padding: 0 0 0 16px;\n            margin: 0;\n        }\n    }\n\n     // .docutils > dt {\n    //     padding: 6px;\n    //     display: table;\n    //     margin-bottom: 6px;\n    //     border: none;\n    //     border-left: solid 3px #ccc;\n    //     background: #f0f0f0;\n    //     color: #555;\n    // }\n\n    .seealso .docutils > dt {\n       float: left;\n       clear: left;\n       padding: 0 6px;\n     }\n\n    .seealso .docutils > dd {\n       padding-left: 6em;\n    }\n    .nblast {\n        padding-bottom: 1em;\n    }\n\n    pre {\n        font-size: 90%;\n        background: #eee;\n        color: #455A64;\n        padding: 16px 32px;\n        width: auto;\n        border-radius: 4px;\n        word-wrap: break-word;\n\n        &:hover {\n            @extend .mdl-shadow--2dp;\n\n            &:before {\n                font-family: $body_font_family;\n                padding: 0 0.5rem;\n                content: attr(click-to-copy);\n                color: rgba(0, 0, 0, 0.5);\n                border-radius: 4px;\n                position: relative;\n                float: right;\n                top: -0.5rem;\n                right: -0.5rem;\n                background: rgb(200, 200, 200);\n                font-size: 0.8rem;\n                cursor: pointer;\n            }\n        }\n    }\n}\n","/*\n * Quotation Block Styles\n */\n .page-content {\n    blockquote {\n        font-size: 1rem;\n        padding: 0 1rem;\n        border-left: 3px solid $code_background;\n\n        &:after {\n            content: \"\" !important;\n            margin-left: 0;\n        }\n        &:before {\n            content: \"\" !important;\n        }\n    }\n }\n",".page-content {\n    table:not(.footnote):not(.indextable):not(.hlist):not(.option-list):not(.field-list) {\n        @extend .mdl-data-table;\n        @extend .mdl-shadow--2dp;\n\n        margin: 1.5rem 0;\n        table-layout: fixed;\n        max-width: 100%;\n        min-width: 70%;\n\n        th, td {\n            @extend .mdl-data-table__cell--non-numeric;\n            white-space: normal;\n            overflow-wrap: break-word;\n        }\n\n        caption {\n            font-size: $font_size;\n            margin: 1rem 0 0.8rem 0;\n            white-space: normal;\n            .caption-number {\n                font-style: normal;\n            }\n            .caption-number::after {\n                content: \"\\00a0\";\n            }\n        }\n\n    }\n}\n",".globaltoc {\n    \n    .caption, .toc {\n        display: none;\n    }\n\n    ul {\n\n        list-style-type: none;\n        padding: 0;\n        margin: 0;\n\n        li {\n            min-height: 18px;\n            .link-wrapper {\n                display: flex;\n                justify-content: space-between;\n                > a {\n                    padding: 4px 0;\n                    display: block;\n                    width: 100%;\n                    font-size: 1rem;\n                    text-decoration: none;\n                    color: $layout-drawer-navigation-color;\n                    &.current {\n                        font-weight: bold;\n                    }\n                }\n            }\n        }\n    }\n\n    .nav-toggle {\n        padding: 0;\n        float: right;\n        display: flex;\n        align-items: center;\n        justify-content: center;\n        height: 36px;\n        > a {\n            padding: 0;\n            margin-left: 0;\n            margin-right: 4px;\n            cursor: pointer;\n            > i {\n                font-size: 18px;\n            }\n        }\n        &.show {\n            transform: rotateZ(180deg);\n            > a {\n                margin-right: 0;\n                margin-left: 4px;\n            }\n        }\n    }\n\n    nav {\n        > ul > li > span.link-wrapper {\n            padding-left: 8px;\n        }\n        > ul > li > ul > li > span.link-wrapper {\n            padding-left: 16px;\n        }\n        > ul > li > ul > li > ul > li > span.link-wrapper {\n            padding-left: 24px;\n        }\n        > ul > li > ul > li > ul > li > ul> li > span.link-wrapper {\n            padding-left: 32px;\n        }\n        > ul > li > ul > li > ul > li > ul > li > ul> li > span.link-wrapper {\n            padding-left: 40px;\n        }\n        > ul > li > ul > li > ul > li > ul > li > ul > li > ul> li > span.link-wrapper {\n            padding-left: 48px;\n        }\n    }\n}\n",".localtoc {\n    font-size: 0.75rem;\n    padding-top: 1rem;\n\n    .caption {\n        padding-left: 12px;\n        &-text {\n            font-size: 0.9rem;\n            font-weight: 700;\n        }\n    }\n\n    > ul > li > a {\n        display: none;\n    }\n\n    ul {\n        padding: 0;\n        list-style-type: none;\n    }\n\n    li {\n        padding-left: 6px;\n    }\n\n    a {\n        display: block;\n        text-decoration: none;\n        color: inherit;\n        margin-top: 8px;\n        padding-left: 8px;\n        line-height: 1.1rem;\n    \n        &.current {\n            padding-left: 5px;\n            border-left: 3px solid;\n            font-weight: bold;\n        }\n    }\n}","/*\r\n *  Toctree and Contents Directive Styles\r\n */\r\n .toctree-wrapper,\r\n .contents.topic {\r\n     border-left: 5px solid;\r\n }\r\n\r\n .toctree-wrapper > p.caption,\r\n .contents.topic > p.topic-title {\r\n     color: rgb(117, 117, 117);\r\n     font-size: 1rem;\r\n     padding-left: 14px;\r\n }\r\n\r\n .toctree-wrapper ul,\r\n .contents.topic ul{\r\n     padding-left: 14px;\r\n     list-style: none;\r\n     line-height: 30px;\r\n }\r\n\r\n .toctree-wrapper a,\r\n .contents.topic a {\r\n     font-size: 1.2rem;\r\n     text-decoration: none;\r\n     .pre {\r\n         font-size: 1rem;\r\n     }\r\n }\r\n\r\n .toctree-wrapper > ul > li > a,\r\n .contents.topic > ul > li > a {\r\n     font-size: 1.3rem;\r\n     .pre {\r\n         font-size: 1.1rem;\r\n     }\r\n }\r\n",".page-content {\n    ul {\n        li {\n            margin: .3rem 0;\n            p {\n                margin: 0;\n            }\n        }\n    }\n    .option-list {\n        .option {\n            font-family: $code_font_family;\n        }\n        td {\n            padding: 0.5rem;\n            border: none;\n        }\n    }\n}\n","/*\r\n * Drawer Styles\r\n */\r\n.mdl-layout {\r\n    &__drawer {\r\n        background-color: #fff;\r\n\r\n        &::-webkit-scrollbar {\r\n            width: 6px;\r\n        }\r\n\r\n        &::-webkit-scrollbar-track {\r\n            border-radius: 6px;\r\n        }\r\n\r\n        &::-webkit-scrollbar-thumb {\r\n            background-color: rgba(0, 0, 0, .3);\r\n            border-radius: 6px;\r\n            box-shadow:0 0 0 1px rgba(255, 255, 255, .3);\r\n        }\r\n\r\n        > .mdl-layout-title {\r\n            font-weight: bold;\r\n            text-align: right;\r\n            margin: 0;\r\n            padding: 0;\r\n            line-height: 32px;\r\n            border-bottom: 1px solid rgba(0,0,0,.1);\r\n            min-height: 64px;\r\n            .title {\r\n                color: inherit;\r\n                display: block;\r\n                height: 100%;\r\n                width: 100%;\r\n                text-decoration: none;\r\n                > img.logo {\r\n                    width: 100%;\r\n                    margin: 0;\r\n                    padding: 0;\r\n                }\r\n\r\n                &-text {\r\n                    font-weight: bold;\r\n                    text-align: right;\r\n                    padding: 0 10px;\r\n                    margin: 16px 0 8px 0;\r\n                    line-height: 32px;\r\n                    font-family: $body_font_family;\r\n                    color: inherit;\r\n                    display: block;\r\n                }\r\n            }\r\n        }\r\n    }\r\n}\r\n","/*\r\n * Header Styles\r\n */\r\n\r\nnav.breadcrumb {\r\n    > a.mdl-navigation__link {\r\n        padding: 0 8px;\r\n        font-size: 18px;\r\n    }\r\n    @media (max-width: $lg-breakpoint - 1) {\r\n        width: calc( 100% - 64px );\r\n        a.mdl-navigation__link.is-active {\r\n            overflow-x: hidden;\r\n            width: 100%;\r\n            overflow: hidden;\r\n            white-space: nowrap;\r\n            text-overflow: ellipsis;\r\n        }\r\n        a.mdl-navigation__link:not(.is-active),\r\n        i.material-icons {\r\n            display: none;\r\n        }\r\n    }\r\n}\r\n\r\ndiv.mdl-layout__header {\r\n    margin-top: 77px;\r\n}\r\n\r\n.mdl-layout__drawer-button {\r\n    top: 13px !important;\r\n}\r\n\r\ndiv.mdl-layout__header-row.header-links {\r\n    background: rgba(255,255,255,0.2);\r\n    width: 100%;\r\n    overflow-x: auto;\r\n    overflow-y: hidden;\r\n\r\n    a.mdl-navigation__link  {\r\n        font-size: 1rem;\r\n        i {\r\n            font-size: 1.2rem;\r\n            margin: 0 8px;\r\n            position: relative;\r\n            bottom: -0.1rem;\r\n        }\r\n    };\r\n\r\n    a.mdl-navigation__link:hover  {\r\n        background-color: unquote(\"rgb(#{$color-primary})\");\r\n        color: #eeeeee;\r\n    };\r\n    a.mdl-navigation__link[href=\"#\"]  {\r\n        background-color: unquote(\"rgb(#{$color-primary})\");\r\n        opacity: 1;\r\n        color: #ffffff;\r\n    };\r\n}\r\n\r\n/* mxnet-header */\r\n\r\n\r\n.site-title {\r\n  font-weight: 300 !important;\r\n  line-height: 57px;\r\n  letter-spacing: -1px;\r\n  margin-bottom: 0;\r\n  float: left;\r\n  color: white;\r\n\r\n  &,\r\n  &:visited {\r\n    color: $grey-color-dark;\r\n  }\r\n}\r\n\r\n\r\n.site-header {\r\n  position: fixed;\r\n  top: 0;\r\n  width: 100%;\r\n  min-height: 55px;\r\n  padding-top: 10px;\r\n  padding-bottom: 10px;\r\n  background-color: $color-mxnet;\r\n  z-index: 10;\r\n  font-weight: 300;\r\n  font-size: 17px;\r\n  border-bottom: 1px solid white;\r\n}\r\n\r\n.site-header-logo {\r\n  width: 120px;\r\n  display: initial;\r\n}\r\n\r\n.site-nav {\r\n  float: right;\r\n  line-height: 57px;\r\n\r\n  .nav-trigger {\r\n    display: none;\r\n  }\r\n\r\n  .menu-icon {\r\n    display: none;\r\n  }\r\n\r\n  .page-link {\r\n    color: white;\r\n    line-height: 1.5;\r\n    font-weight: 300;\r\n    // Gaps between nav items, but not on the last one\r\n    &:not(:last-child) {\r\n      margin-right: 40px;\r\n    }\r\n\r\n    &:hover {\r\n      color: white;\r\n      text-shadow: -0.06ex 0 white, 0.06ex 0 white;\r\n    }\r\n  }\r\n\r\n  .page-link.page-current {\r\n    color: white;\r\n    text-decoration: underline;\r\n  }\r\n\r\n  @media screen and (max-width: $on-laptop) {\r\n    position: absolute;\r\n    top: 9px;\r\n    right: 15px;\r\n    background-color: rgb(23,141,201);\r\n    border-radius: 2px;\r\n    text-align: right;\r\n\r\n    label[for=\"nav-trigger\"] {\r\n      display: block;\r\n      float: right;\r\n      width: 36px;\r\n      height: 36px;\r\n      z-index: 2;\r\n      cursor: pointer;\r\n    }\r\n\r\n    .menu-icon {\r\n      display: block;\r\n      float: right;\r\n      width: 36px;\r\n      height: 26px;\r\n      line-height: 0;\r\n      padding-top: 20px;\r\n      text-align: center;\r\n\r\n      > svg {\r\n        fill: white;\r\n      }\r\n    }\r\n\r\n    input ~ .trigger {\r\n      clear: both;\r\n      display: none;\r\n    }\r\n\r\n    input:checked ~ .trigger {\r\n      display: block;\r\n      padding-bottom: 5px;\r\n    }\r\n\r\n    .page-link {\r\n      padding: 5px 10px;\r\n      display: block;\r\n\r\n      &:not(:last-child) {\r\n        margin-right: 0;\r\n      }\r\n\r\n      margin-left: 20px;\r\n    }\r\n  }\r\n}","/*\r\n * Footer Styles\r\n */\r\nfooter.mdl-mini-footer {\r\n    background-color: #212121;\r\n    > div.mdl-mini-footer__left-section {\r\n        margin-bottom: 20px;\r\n        display: flex;\r\n        flex-direction: column;\r\n        .mdl-logo {\r\n            font-size: 1.1rem;\r\n        }\r\n        ul {\r\n            @extend .mdl-mini-footer__link-list;\r\n        }\r\n    }\r\n    > div.mdl-mini-footer__right-section {\r\n        font-size: 0.9rem;\r\n        display: flex;\r\n        flex-direction: column;\r\n        justify-content: flex-end;\r\n\r\n        a {\r\n            color: inherit;\r\n            font-weight: bold;\r\n            text-decoration: none;\r\n        }\r\n    }\r\n    p.caption {\r\n        display: none;\r\n    }\r\n}\r\n\r\n/*\r\n * Pagenation Block Styles\r\n */\r\n .pagenation {\r\n    width: 100%;\r\n    margin-top: 80px;\r\n    height: 92px;\r\n    background-color: #424242;\r\n    display: flex;\r\n\r\n    .button-common {\r\n        text-transform: none;\r\n        padding: 0;\r\n        height: 92px;\r\n        display: flex;\r\n        justify-content: center;\r\n        align-items: center;\r\n        color: #ffffff;\r\n    }\r\n    #button-prev {\r\n        @extend .button-common;\r\n        margin-right: auto;\r\n        .pagenation-text {\r\n            text-align: left;\r\n        }\r\n        \r\n    }\r\n    #button-next {\r\n        @extend .button-common;\r\n        margin-left: auto;\r\n        flex-direction: row-reverse;\r\n        .pagenation-text {\r\n            text-align: right;\r\n        }\r\n    }\r\n\r\n    &-arrow {\r\n        &-L {\r\n            margin-right: 20px;\r\n        }\r\n        &-R {\r\n            margin-left: 20px;\r\n        }\r\n    }\r\n\r\n    &-text {\r\n        line-height: 30px;\r\n        font-size: 20px;\r\n    }\r\n\r\n    &-direction {\r\n        opacity: 0.7;\r\n        font-size: 18px;\r\n    }\r\n    @media screen and (max-width: 1024px) {\r\n        #button-prev {\r\n            width: 20%;\r\n        }\r\n        \r\n        #button-next {\r\n            width: 80%;\r\n        }\r\n    \r\n        #button-prev .pagenation-text {\r\n            display: none;\r\n        }\r\n    }\r\n    @media screen and (min-width: 1025px) {\r\n        #button-prev,\r\n        #button-next {\r\n            width: 50%;\r\n        }\r\n    \r\n        #button-prev .pagenation-text {\r\n            display: block;\r\n        }\r\n    }\r\n}\r\n\r\n\r\n\r\n/**\r\n * Site footer\r\n */\r\n.site-footer {\r\n  border-top: 1px solid $grey-color-light;\r\n  padding: $spacing-unit 0;\r\n  background-color: #424242;\r\n  .footer-category-title {\r\n    color: $color-mxnet;\r\n  }\r\n  a {\r\n    color: $grey-color-light !important;\r\n\r\n    &:visited {\r\n      color: $grey-color-light !important;\r\n    }\r\n  }\r\n\r\n}\r\n\r\n.site-footer2 {\r\n  background-color: #424242;\r\n  padding-top: 40px;\r\n  padding-bottom: 10px;\r\n}\r\n\r\n.footer-heading {\r\n  margin-bottom: $spacing-unit / 2;\r\n}\r\n\r\n.contact-list,\r\n.social-media-list {\r\n  list-style: none;\r\n  margin-left: 0;\r\n}\r\n\r\n\r\n.footer-bottom-warning {\r\n  font-size: 80%;\r\n  color: white;\r\n  float: left;\r\n}\r\n\r\n.footer-logo {\r\n  width: 200px;\r\n  margin-bottom: 30px;\r\n  margin-top: 30px;\r\n}\r\n\r\n.footer-col {\r\n  float: left;\r\n  margin-bottom: $spacing-unit / 2;\r\n  padding-left: $spacing-unit / 2;\r\n}\r\n\r\n.footer-text {\r\n  color: $grey-color-light;\r\n}\r\n\r\n"," /*\r\n  * Search Styles\r\n  */\r\n#waterfall-exp::-webkit-input-placeholder {\r\n    color: #ccc;\r\n}\r\n#waterfall-exp:-ms-input-placeholder {\r\n    color: #ccc;\r\n}\r\n#waterfall-exp::-moz-placeholder {\r\n    color: #ccc;\r\n}\r\n\r\nul.search span.highlighted {\r\n    font-weight: bold;\r\n}\r\n\r\nul.search > li {\r\n    margin-bottom: 24px;\r\n}\r\n\r\n#search-results {\r\n    ul {\r\n        list-style: none;\r\n        padding: 0;\r\n        li {\r\n            > a {\r\n                text-decoration: none;\r\n                font-size: 1.2rem;\r\n            }\r\n        }\r\n    }\r\n}\r\n","a.download {\n    &:before {\n        @extend .material-icons;\n        content: \"file_download\";\n        position: relative;\n        top: 5px;\n        margin-right: 5px;\n    }\n}\n\nbutton.download {\n    position: sticky;\n    margin-left: 1em;\n}\n",".mdl-card {\n    margin: 1em 1.5em 1em 0;\n    display: inline-block;\n    width: 250px;\n    min-height: 140px;\n    padding: 18px;\n}\n.mdl-card:hover {\n    box-shadow: 0 10px 20px rgba(0,0,0,0.25), 0 6px 6px rgba(0,0,0,0.22);\n    color: #000;\n    cursor: pointer;\n}\n.mdl-card__title {\n    padding: 0 0 1em 0;\n    font-size: 18px;\n    color: #444;\n}\n\n.mdl-card__supporting-text {\n    line-height: 1.5rem;\n    padding: 0px;\n    width: 100%;\n}\n\n.head-card.mdl-card {\n    width: auto;\n    display: block;\n    max-width: 800px;\n    padding: 24px;\n}\n\n.head-card > .mdl-card__title {\n    padding-bottom: 0px;\n    height: 60px;\n    font-weight: 700;\n    text-transform: uppercase;\n}\n.head-card > .mdl-card__menu {\n    color: #fff;\n}\n.head-card > .mdl-card__actions {\n    padding: 0;\n}\n.cards {\n    display: flex;\n    flex-direction: row;\n    flex-wrap: wrap;\n}\n"]}
\ No newline at end of file
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* Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n@import \"../variables\";\n@import \"../mixins\";\n\n.mdl-shadow--2dp {\n  @include shadow-2dp();\n}\n\n.mdl-shadow--3dp {\n  @include shadow-3dp();\n}\n\n.mdl-shadow--4dp {\n  @include shadow-4dp();\n}\n\n.mdl-shadow--6dp {\n  @include shadow-6dp();\n}\n\n.mdl-shadow--8dp {\n  @include shadow-8dp();\n}\n\n.mdl-shadow--16dp {\n  @include shadow-16dp();\n}\n\n.mdl-shadow--24dp {\n  @include shadow-24dp();\n}\n","/**\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n/* Typography */\n\n@mixin typo-preferred-font($usePreferred: true) {\n  @if $usePreferred {\n    font-family: $preferred_font;\n  }\n}\n\n@mixin typo-display-4($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 112px;\n  font-weight: 300;\n  line-height: 1;\n  letter-spacing: -0.04em;\n\n  @if $colorContrast {\n    opacity: 0.54;\n  }\n}\n\n@mixin typo-display-3($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 56px;\n  font-weight: 400;\n  line-height: 1.35;\n  letter-spacing: -0.02em;\n\n  @if $colorContrast {\n    opacity: 0.54;\n  }\n}\n\n@mixin typo-display-2($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 45px;\n  font-weight: 400;\n  line-height: 48px;\n\n  @if $colorContrast {\n    opacity: 0.54;\n  }\n}\n\n@mixin typo-display-1($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 34px;\n  font-weight: 400;\n  line-height: 40px;\n\n  @if $colorContrast {\n    opacity: 0.54;\n  }\n}\n\n@mixin typo-headline($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 24px;\n  font-weight: 400;\n  line-height: 32px;\n  -moz-osx-font-smoothing: grayscale;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-title($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 20px;\n  font-weight: 500;\n  line-height: 1;\n  letter-spacing: 0.02em;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-subhead($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 16px;\n  font-weight: 400;\n  line-height: 24px;\n  letter-spacing: 0.04em;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-subhead-2($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 16px;\n  font-weight: 400;\n  line-height: 28px;\n  letter-spacing: 0.04em;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-body-2($colorContrast: false, $usePreferred: false) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 14px;\n  @if $usePreferred {\n    font-weight: 500;\n  } @else {\n    font-weight: bold;\n  }\n  line-height: 24px;\n  letter-spacing: 0;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-body-1($colorContrast: false, $usePreferred: false) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 14px;\n  font-weight: 400;\n  line-height: 24px;\n  letter-spacing: 0;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-caption($colorContrast: false, $usePreferred: false) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 12px;\n  font-weight: 400;\n  line-height: 1;\n  letter-spacing: 0;\n\n  @if $colorContrast {\n    opacity: 0.54;\n  }\n}\n\n@mixin typo-blockquote($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  position: relative;\n  font-size: 24px;\n  font-weight: 300;\n  font-style: italic;\n  line-height: 1.35;\n  letter-spacing: 0.08em;\n\n  &:before {\n    position: absolute;\n    left: -0.5em;\n    content: '“';\n  }\n\n  &:after {\n    content: '”';\n    margin-left: -0.05em;\n  }\n\n  @if $colorContrast {\n    opacity: 0.54;\n  }\n}\n\n@mixin typo-menu($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 14px;\n  font-weight: 500;\n  line-height: 1;\n  letter-spacing: 0;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-button($colorContrast: false, $usePreferred: true) {\n  @include typo-preferred-font($usePreferred);\n  font-size: 14px;\n  font-weight: 500;\n  text-transform: uppercase;\n  line-height: 1;\n  letter-spacing: 0;\n\n  @if $colorContrast {\n    opacity: 0.87;\n  }\n}\n\n@mixin typo-icon() {\n  font-family: 'Material Icons';\n  font-weight: normal;\n  font-style: normal;\n  font-size: 24px;\n  line-height: 1;\n  letter-spacing: normal;\n  text-transform: none;\n  display: inline-block;\n  word-wrap: normal;\n  font-feature-settings: 'liga';\n  -webkit-font-feature-settings: 'liga';\n  -webkit-font-smoothing: antialiased;\n}\n\n/* Shadows */\n\n// Focus shadow mixin.\n@mixin focus-shadow() {\n  box-shadow: 0 0 8px rgba(0,0,0,.18),0 8px 16px rgba(0,0,0,.36);\n}\n\n@mixin shadow-2dp() {\n  box-shadow: 0 2px 2px 0 rgba(0, 0, 0, $shadow-key-penumbra-opacity),\n              0 3px 1px -2px rgba(0, 0, 0, $shadow-key-umbra-opacity),\n              0 1px 5px 0 rgba(0, 0, 0, $shadow-ambient-shadow-opacity);\n}\n@mixin shadow-3dp() {\n  box-shadow: 0 3px 4px 0 rgba(0, 0, 0, $shadow-key-penumbra-opacity),\n              0 3px 3px -2px rgba(0, 0, 0, $shadow-key-umbra-opacity),\n              0 1px 8px 0 rgba(0, 0, 0, $shadow-ambient-shadow-opacity);\n}\n@mixin shadow-4dp() {\n  box-shadow: 0 4px 5px 0 rgba(0, 0, 0, $shadow-key-penumbra-opacity),\n              0 1px 10px 0 rgba(0, 0, 0, $shadow-ambient-shadow-opacity),\n              0 2px 4px -1px rgba(0, 0, 0, $shadow-key-umbra-opacity);\n}\n@mixin shadow-6dp() {\n  box-shadow: 0 6px 10px 0 rgba(0, 0, 0, $shadow-key-penumbra-opacity),\n              0 1px 18px 0 rgba(0, 0, 0, $shadow-ambient-shadow-opacity),\n              0 3px 5px -1px rgba(0, 0, 0, $shadow-key-umbra-opacity);\n}\n@mixin shadow-8dp() {\n  box-shadow: 0 8px 10px 1px rgba(0, 0, 0, $shadow-key-penumbra-opacity),\n              0 3px 14px 2px rgba(0, 0, 0, $shadow-ambient-shadow-opacity),\n              0 5px 5px -3px rgba(0, 0, 0, $shadow-key-umbra-opacity);\n}\n\n@mixin shadow-16dp() {\n  box-shadow: 0 16px 24px 2px rgba(0, 0, 0, $shadow-key-penumbra-opacity),\n              0  6px 30px 5px rgba(0, 0, 0, $shadow-ambient-shadow-opacity),\n              0  8px 10px -5px rgba(0, 0, 0, $shadow-key-umbra-opacity);\n}\n\n@mixin shadow-24dp() {\n  box-shadow: 0  9px 46px  8px rgba(0, 0, 0, $shadow-key-penumbra-opacity),\n              0 11px 15px -7px rgba(0, 0, 0, $shadow-ambient-shadow-opacity),\n              0 24px 38px  3px rgba(0, 0, 0, $shadow-key-umbra-opacity);\n}\n\n/* Animations */\n\n@mixin material-animation-fast-out-slow-in($duration:0.2s) {\n  transition-duration: $duration;\n  transition-timing-function: $animation-curve-fast-out-slow-in;\n}\n\n@mixin material-animation-linear-out-slow-in($duration:0.2s) {\n  transition-duration: $duration;\n  transition-timing-function: $animation-curve-linear-out-slow-in;\n}\n\n@mixin material-animation-fast-out-linear-in($duration:0.2s) {\n  transition-duration: $duration;\n  transition-timing-function: $animation-curve-fast-out-linear-in;\n}\n\n@mixin material-animation-default($duration:0.2s) {\n  transition-duration: $duration;\n  transition-timing-function: $animation-curve-default;\n}\n\n/* Dialog */\n\n@mixin dialog-width($units:5) {\n  @if(type_of($units) != 'number') {\n    @error \"The unit given to dialog-width should be a number.\";\n  }\n  // 56dp is the base unit width for Dialogs.\n  // With 5 units being the number of units for a mobile device.\n  // https://goo.gl/sK2O5o\n  width: $units * 56px;\n}\n","/**\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n@import \"../variables\";\n@import \"../mixins\";\n\n.mdl-data-table {\n  position: relative;\n  border: $data-table-dividers;\n  border-collapse: collapse;\n  white-space: nowrap;\n  font-size: $data-table-font-size;\n  background-color: unquote(\"rgb(#{$color-white})\");\n\n  thead {\n    padding-bottom: 3px;\n\n    .mdl-data-table__select {\n      margin-top: 0;\n    }\n  }\n\n  tbody {\n    tr {\n      position: relative;\n      height: $data-table-row-height;\n      @include material-animation-default(0.28s);\n      transition-property: background-color;\n\n      &.is-selected {\n        background-color: $data-table-selection-color;\n      }\n\n      &:hover {\n        background-color: $data-table-hover-color;\n      }\n    }\n  }\n\n  td, th {\n    padding: 0 $data-table-column-padding 12px $data-table-column-padding;\n    text-align: right;\n\n    &:first-of-type {\n      padding-left: 24px;\n    }\n\n    &:last-of-type {\n      padding-right: 24px;\n    }\n  }\n\n  td {\n    position: relative;\n    vertical-align: middle;\n    height: $data-table-row-height;\n    border-top: $data-table-dividers;\n    border-bottom: $data-table-dividers;\n    padding-top: $data-table-cell-top;\n    box-sizing: border-box;\n\n    .mdl-data-table__select {\n      vertical-align: middle;\n    }\n  }\n\n  th {\n    position: relative;\n    vertical-align: bottom;\n    text-overflow: ellipsis;\n    @include typo-body-2();\n    height: $data-table-row-height;\n    font-size: $data-table-header-font-size;\n    color: $data-table-header-color;\n    padding-bottom: 8px;\n    box-sizing: border-box;\n\n    &.mdl-data-table__header--sorted-ascending,\n    &.mdl-data-table__header--sorted-descending {\n      color: $data-table-header-sorted-color;\n      &:before {\n        @include typo-icon;\n        font-size: $data-table-header-sort-icon-size;\n        content: \"\\e5d8\";\n        margin-right: 5px;\n        vertical-align: sub;\n      }\n      &:hover {\n        cursor: pointer;\n        &:before {\n          color: $data-table-header-sorted-icon-hover-color;\n        }\n      }\n    }\n    &.mdl-data-table__header--sorted-descending:before {\n      content: \"\\e5db\";\n    }\n  }\n}\n\n.mdl-data-table__select {\n  width: 16px;\n}\n\n.mdl-data-table__cell--non-numeric.mdl-data-table__cell--non-numeric {\n  text-align: left;\n}\n","/**\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n/*------------------------------------*\\\n    $CONTENTS\n\\*------------------------------------*/\n/**\n * STYLE GUIDE VARIABLES------------------Declarations of Sass variables\n * -----Typography\n * -----Colors\n * -----Textfield\n * -----Switch\n * -----Spinner\n * -----Radio\n * -----Menu\n * -----List\n * -----Layout\n * -----Icon toggles\n * -----Footer\n * -----Column\n * -----Checkbox\n * -----Card\n * -----Button\n * -----Animation\n * -----Progress\n * -----Badge\n * -----Shadows\n * -----Grid\n * -----Data table\n * -----Dialog\n * -----Snackbar\n * -----Tooltip\n * -----Chip\n *\n * Even though all variables have the `!default` directive, most of them\n * should not be changed as they are dependent one another. This can cause\n * visual distortions (like alignment issues) that are hard to track down\n * and fix.\n */\n\n\n/* ==========  TYPOGRAPHY  ========== */\n\n/* We're splitting fonts into \"preferred\" and \"performance\" in order to optimize\n   page loading. For important text, such as the body, we want it to load\n   immediately and not wait for the web font load, whereas for other sections,\n   such as headers and titles, we're OK with things taking a bit longer to load.\n   We do have some optional classes and parameters in the mixins, in case you\n   definitely want to make sure you're using the preferred font and don't mind\n   the performance hit.\n   We should be able to improve on this once CSS Font Loading L3 becomes more\n   widely available.\n*/\n$preferred_font: 'Roboto', 'Helvetica', 'Arial', sans-serif !default;\n$performance_font: 'Helvetica', 'Arial', sans-serif !default;\n\n/* ==========  COLORS  ========== */\n\n/**\n*\n* Material design color palettes.\n* @see http://www.google.com/design/spec/style/color.html\n*\n**/\n\n@import \"color-definitions\";\n@import \"functions\";\n\n/* ==========  IMAGES  ========== */\n$image_path: '/images' !default;\n\n/* ==========  Color & Themes  ========== */\n\n// Define whether individual color palette items should have classes created.\n// Setting this to true will remove individual color classes for each color in the palettes.\n// To improve overall performance (assuming they aren't used) by:\n// * Saving server bandwidth sending the extra classes\n// * Save client computation against the classes\n// it is RECOMMENDED you set this to true.\n$trim-color-classes: false !default;\n\n// Use color primarily for emphasis. Choose colors that fit with\n// your brand and provide good contrast between visual components.\n$color-primary: $palette-indigo-500 !default;\n$color-primary-dark: $palette-indigo-700 !default;\n$color-accent: $palette-pink-A200 !default;\n\n// Our primary is dark, so use $color-dark-contrast for overlaid text.\n$color-primary-contrast: $color-dark-contrast !default;\n// Our accent is dark, so use $color-dark-contrast for overlaid text.\n$color-accent-contrast: $color-dark-contrast !default;\n\n// Replace all colors with placeholders if we're generating a template.\n@if $styleguide-generate-template == true {\n  $color-primary: '$color-primary';\n  $color-primary-dark: '$color-primary-dark';\n  $color-accent: '$color-accent';\n  $color-primary-contrast: '$color-primary-contrast';\n  $color-accent-contrast: '$color-accent-contrast';\n}\n\n/* ==========  Typography  ========== */\n\n// We use the following default color styles: text-color-primary and\n// text-color-secondary. For light themes, use text-color-primary-inverse\n// and text-color-secondary-inverse.\n\n$text-color-primary: unquote(\"rgba(#{$color-black}, 0.87)\") !default;\n$text-link-color: unquote(\"rgb(#{$color-accent})\") !default;\n\n// Define whether to target elements directly for typographic enhancements.\n// Turning this off means you need to use mdl-* classes more often.\n// Other components may also fail to adhere to MD without these rules.\n// It is strongly recommended you leave this as true.\n\n$target-elements-directly: true !default;\n\n/* ==========  Components  ========== */\n\n/* ==========  Standard Buttons  ========== */\n\n// Default button colors.\n$button-primary-color: unquote(\"rgba(#{$palette-grey-500}, 0.20)\") !default;\n$button-secondary-color: unquote(\"rgb(#{$color-black})\") !default;\n$button-hover-color: $button-primary-color !default;\n$button-active-color: unquote(\"rgba(#{$palette-grey-500}, 0.40)\") !default;\n$button-focus-color: unquote(\"rgba(#{$color-black}, 0.12)\") !default;\n\n// Colored button colors.\n$button-primary-color-alt: unquote(\"rgb(#{$color-primary})\") !default;\n$button-secondary-color-alt: unquote(\"rgb(#{$color-primary-contrast})\") !default;\n$button-hover-color-alt: unquote(\"rgb(#{$color-primary})\") !default;\n$button-active-color-alt: unquote(\"rgb(#{$color-primary})\") !default;\n$button-focus-color-alt: $button-focus-color !default;\n\n// Ripple color for colored raised buttons.\n$button-ripple-color-alt: unquote(\"rgb(#{$color-primary-contrast})\") !default;\n\n// Disabled button colors.\n$button-primary-color-disabled: unquote(\"rgba(#{$color-black}, 0.12)\") !default;\n$button-secondary-color-disabled: unquote(\"rgba(#{$color-black}, 0.26)\") !default;\n\n// FAB colors and sizes.\n$button-fab-color-alt: unquote(\"rgb(#{$color-accent})\") !default;\n$button-fab-hover-color-alt: unquote(\"rgb(#{$color-accent})\") !default;\n$button-fab-active-color-alt: unquote(\"rgb(#{$color-accent})\") !default;\n$button-fab-text-color-alt: unquote(\"rgb(#{$color-accent-contrast})\") !default;\n$button-fab-ripple-color-alt: unquote(\"rgb(#{$color-accent-contrast})\") !default;\n\n// Icon button colors and sizes.\n$button-icon-color: unquote(\"rgb(#{$palette-grey-700})\") !default;\n$button-icon-focus-color: $button-focus-color !default;\n\n/* ==========  Icon Toggles  ========== */\n\n$icon-toggle-color: unquote(\"rgb(#{$palette-grey-700})\") !default;\n$icon-toggle-focus-color: $button-focus-color !default;\n$icon-toggle-checked-color: unquote(\"rgb(#{$color-primary})\") !default;\n$icon-toggle-checked-focus-color: unquote(\"rgba(#{$color-primary}, 0.26)\") !default;\n$icon-toggle-disabled-color: unquote(\"rgba(#{$color-black}, 0.26)\") !default;\n\n/* ==========  Radio Buttons  ========== */\n\n$radio-color: unquote(\"rgb(#{$color-primary})\") !default;\n$radio-off-color: unquote(\"rgba(#{$color-black}, 0.54)\") !default;\n$radio-disabled-color: unquote(\"rgba(#{$color-black}, 0.26)\") !default;\n\n/* ==========  Ripple effect  ========== */\n\n$ripple-bg-color: unquote(\"rgb(#{$color-light-contrast})\") !default;\n\n/* ==========  Layout  ========== */\n\n$layout-nav-color: unquote(\"rgb(#{$palette-grey-300})\") !default;\n\n// Drawer\n$layout-drawer-bg-color: unquote(\"rgb(#{$palette-grey-50})\") !default;\n$layout-drawer-border-color: unquote(\"rgb(#{$palette-grey-300})\") !default;\n$layout-text-color: unquote(\"rgb(#{$palette-grey-800})\") !default;\n$layout-drawer-navigation-color: #757575 !default;\n$layout-drawer-navigation-link-active-background: unquote(\"rgb(#{$palette-grey-300})\") !default;\n$layout-drawer-navigation-link-active-color: unquote(\"rgb(#{$color-light-contrast})\") !default;\n\n// Header\n$layout-header-bg-color: unquote(\"rgb(#{$color-primary})\") !default;\n$layout-header-text-color: unquote(\"rgb(#{$color-primary-contrast})\") !default;\n$layout-header-nav-hover-color: unquote(\"rgba(#{$palette-grey-700}, 0.6)\") !default;\n$layout-header-tab-text-color: unquote(\"rgba(#{$color-primary-contrast}, 0.6)\") !default;\n\n// Tabs\n$layout-header-tab-highlight: unquote(\"rgb(#{$color-accent})\") !default;\n\n/* ==========  Content Tabs  ========== */\n\n$tab-highlight-color: unquote(\"rgb(#{$color-primary})\") !default;\n$tab-text-color: unquote(\"rgba(#{$color-black}, 0.54)\") !default;\n$tab-active-text-color: unquote(\"rgba(#{$color-black}, 0.87)\") !default;\n$tab-border-color: unquote(\"rgb(#{$palette-grey-300})\") !default;\n\n/* ==========  Checkboxes  ========== */\n\n$checkbox-color: unquote(\"rgb(#{$color-primary})\") !default;\n$checkbox-off-color: unquote(\"rgba(#{$color-black}, 0.54)\") !default;\n$checkbox-disabled-color: unquote(\"rgba(#{$color-black}, 0.26)\") !default;\n$checkbox-focus-color: unquote(\"rgba(#{$color-primary}, 0.26)\") !default;\n$checkbox-image-path: $image_path;\n\n/* ==========  Switches  ========== */\n\n$switch-color: unquote(\"rgb(#{$color-primary})\") !default;\n$switch-faded-color: unquote(\"rgba(#{$color-primary}, 0.26)\") !default;\n$switch-thumb-color: $switch-color !default;\n$switch-track-color: unquote(\"rgba(#{$color-primary}, 0.5)\") !default;\n\n$switch-off-thumb-color: unquote(\"rgb(#{$palette-grey-50})\") !default;\n$switch-off-track-color: unquote(\"rgba(#{$color-black}, 0.26)\") !default;\n$switch-disabled-thumb-color: unquote(\"rgb(#{$palette-grey-400})\") !default;\n$switch-disabled-track-color: unquote(\"rgba(#{$color-black}, 0.12)\") !default;\n\n/* ==========  Spinner  ========== */\n\n$spinner-color-1: unquote(\"rgb(#{$palette-blue-400})\") !default;\n$spinner-color-2: unquote(\"rgb(#{$palette-red-500})\") !default;\n$spinner-color-3: unquote(\"rgb(#{$palette-yellow-600})\") !default;\n$spinner-color-4: unquote(\"rgb(#{$palette-green-500})\") !default;\n\n$spinner-single-color: unquote(\"rgb(#{$color-primary})\") !default;\n\n/* ==========  Text fields  ========== */\n\n$input-text-background-color: transparent !default;\n$input-text-label-color: unquote(\"rgba(#{$color-black}, 0.26)\") !default;\n$input-text-bottom-border-color: unquote(\"rgba(#{$color-black}, 0.12)\") !default;\n$input-text-highlight-color: unquote(\"rgb(#{$color-primary})\") !default;\n$input-text-disabled-color: $input-text-bottom-border-color !default;\n$input-text-disabled-text-color: $input-text-label-color !default;\n$input-text-error-color: unquote(\"rgb(#{$palette-red-A700})\") !default;\n\n/* ==========  Card  ========== */\n\n$card-background-color: unquote(\"rgb(#{$color-white})\") !default;\n$card-text-color: unquote(\"rgb(#{$color-black})\") !default;\n$card-image-placeholder-color: unquote(\"rgb(#{$color-accent})\") !default;\n$card-supporting-text-text-color: unquote(\"rgba(#{$color-black}, 0.54)\") !default;\n$card-border-color: rgba(0,0,0,0.1) !default;\n$card-subtitle-color: unquote(\"rgba(#{$color-black}, 0.54)\") !default;\n\n/* ==========  Sliders ========== */\n\n$range-bg-color: unquote(\"rgba(#{$color-black}, 0.26)\") !default;\n$range-color: unquote(\"rgb(#{$color-primary})\") !default;\n$range-faded-color: unquote(\"rgba(#{$color-primary}, 0.26)\") !default;\n$range-bg-focus-color: unquote(\"rgba(#{$color-black}, 0.12)\") !default;\n\n/* ========== Progress ========== */\n$progress-main-color: unquote(\"rgb(#{$color-primary})\") !default;\n$progress-secondary-color: unquote(\"rgba(#{$color-primary-contrast}, 0.7)\") !default;\n$progress-fallback-buffer-color: unquote(\"rgba(#{$color-primary-contrast}, 0.9)\") !default;\n$progress-image-path: $image_path;\n\n/* ==========  List ========== */\n\n$list-main-text-text-color: unquote(\"rgba(#{$color-black}, 0.87)\") !default;\n$list-supporting-text-text-color: unquote(\"rgba(#{$color-black}, 0.54)\") !default;\n$list-icon-color: unquote(\"rgb(#{$palette-grey-600})\") !default;\n$list-avatar-color: white !default;\n\n/* ==========  Item ========== */\n\n// Default Item Colors\n$default-item-text-color: unquote(\"rgba(#{$color-black}, 0.87)\") !default;\n$default-item-outline-color: unquote(\"rgb(#{$palette-grey-400})\") !default;\n$default-item-hover-bg-color: unquote(\"rgb(#{$palette-grey-200})\") !default;\n$default-item-focus-bg-color: unquote(\"rgb(#{$palette-grey-200})\") !default;\n$default-item-active-bg-color: unquote(\"rgb(#{$palette-grey-300})\") !default;\n$default-item-divider-color: unquote(\"rgba(#{$color-black}, 0.12)\") !default;\n\n// Disabled Button Colors\n$disabled-item-text-color: unquote(\"rgb(#{$palette-grey-400})\") !default;\n\n/* ==========  Dropdown menu ========== */\n\n$default-dropdown-bg-color: unquote(\"rgb(#{$color-white})\") !default;\n\n/* ==========  Tooltips  ========== */\n\n$tooltip-text-color: unquote(\"rgb(#{$color-white})\") !default;\n$tooltip-background-color: unquote(\"rgba(#{$palette-grey-700}, 0.9)\") !default;\n\n/* ==========  Footer  ========== */\n\n$footer-bg-color: unquote(\"rgb(#{$palette-grey-800})\") !default;\n$footer-color: unquote(\"rgb(#{$palette-grey-500})\") !default;\n$footer-heading-color: unquote(\"rgb(#{$palette-grey-300})\") !default;\n$footer-button-fill-color: $footer-color !default;\n$footer-underline-color: $footer-color !default;\n\n\n/* TEXTFIELD */\n\n$input-text-font-size: 16px !default;\n$input-text-width: 100% !default;\n$input-text-padding: 4px !default;\n$input-text-vertical-spacing: 20px !default;\n\n$input-text-button-size: 32px !default;\n$input-text-floating-label-fontsize: 12px !default;\n$input-text-expandable-icon-top: 16px !default;\n\n\n/* SWITCH */\n\n$switch-label-font-size: 16px !default;\n$switch-label-height: 24px !default;\n$switch-track-height: 14px !default;\n$switch-track-length: 36px !default;\n$switch-thumb-size: 20px !default;\n$switch-track-top: ($switch-label-height - $switch-track-height) / 2 !default;\n$switch-thumb-top: ($switch-label-height - $switch-thumb-size) / 2 !default;\n$switch-ripple-size: $switch-label-height * 2 !default;\n$switch-helper-size: 8px !default;\n\n/* SPINNER */\n\n$spinner-size: 28px !default;\n$spinner-stroke-width: 3px !default;\n\n// Amount of circle the arc takes up.\n$spinner-arc-size: 270deg !default;\n// Time it takes to expand and contract arc.\n$spinner-arc-time: 1333ms !default;\n// How much the start location of the arc should rotate each time.\n$spinner-arc-start-rot: 216deg !default;\n\n$spinner-duration: 360 * $spinner-arc-time / (\n    strip-units($spinner-arc-start-rot + (360deg - $spinner-arc-size)));\n\n\n/* RADIO */\n\n$radio-label-font-size: 16px !default;\n$radio-label-height: 24px !default;\n$radio-button-size: 16px !default;\n$radio-inner-margin: $radio-button-size / 4;\n$radio-padding: 8px !default;\n$radio-top-offset: ($radio-label-height - $radio-button-size) / 2;\n$radio-ripple-size: 42px !default;\n\n\n/* MENU */\n\n$menu-expand-duration: 0.3s !default;\n$menu-fade-duration: 0.2s !default;\n\n/* LIST */\n\n$list-border: 8px !default;\n$list-min-height: 48px !default;\n$list-min-padding: 16px !default;\n$list-bottom-padding: 20px !default;\n$list-avatar-text-left-distance: 72px !default;\n$list-icon-text-left-distance: 72px !default;\n\n$list-avatar-size: 40px !default;\n$list-icon-size: 24px !default;\n\n$list-two-line-height: 72px !default;\n$list-three-line-height: 88px !default;\n\n/* LAYOUT */\n\n$layout-drawer-narrow: 240px !default;\n$layout-drawer-wide: 456px !default;\n$layout-drawer-width: $layout-drawer-narrow !default;\n\n$layout-header-icon-size: 32px !default;\n$layout-screen-size-threshold: 1024px !default;\n$layout-header-icon-margin: 24px !default;\n$layout-drawer-button-mobile-size: 32px !default;\n$layout-drawer-button-desktop-size: 48px !default;\n\n$layout-header-mobile-row-height: 56px !default;\n$layout-mobile-header-height: $layout-header-mobile-row-height;\n$layout-header-desktop-row-height: 64px !default;\n$layout-desktop-header-height: $layout-header-desktop-row-height;\n\n$layout-header-desktop-baseline: 80px !default;\n$layout-header-mobile-baseline: 72px !default;\n$layout-header-mobile-indent: 16px !default;\n$layout-header-desktop-indent: 40px !default;\n\n$layout-tab-font-size: 14px !default;\n$layout-tab-bar-height: 48px !default;\n$layout-tab-mobile-padding: 12px !default;\n$layout-tab-desktop-padding: 24px !default;\n$layout-tab-highlight-thickness: 2px !default;\n\n\n/* ICON TOGGLE */\n\n$icon-toggle-size: 32px !default;\n$icon-toggle-font-size: 24px !default;\n$icon-toggle-ripple-size: 36px !default;\n\n/* FOOTER */\n\n/*mega-footer*/\n$footer-min-padding: 16px !default;\n$footer-padding-sides: 40px !default;\n$footer-heading-font-size: 14px !default;\n$footer-heading-line-height: (1.7 * $footer-heading-font-size) !default;\n$footer-btn-size: 36px  !default;\n\n/*mini-footer*/\n$padding: 16px !default;\n$footer-heading-font-size: 24px !default;\n$footer-heading-line-height: (1.5 * $footer-heading-font-size) !default;\n$footer-btn-size: 36px !default;\n\n/* CHECKBOX */\n\n$checkbox-label-font-size: 16px !default;\n$checkbox-label-height: 24px !default;\n$checkbox-button-size: 16px !default;\n$checkbox-inner-margin: 2px !default;\n$checkbox-padding: 8px !default;\n$checkbox-top-offset:\n($checkbox-label-height - $checkbox-button-size - $checkbox-inner-margin) / 2;\n$checkbox-ripple-size: $checkbox-label-height * 1.5;\n\n/* CARD */\n\n/* Card dimensions */\n$card-width: 330px !default;\n$card-height: 200px !default;\n$card-font-size: 16px !default;\n$card-title-font-size: 24px !default;\n$card-subtitle-font-size: 14px !default;\n$card-horizontal-padding: 16px !default;\n$card-vertical-padding: 16px !default;\n\n$card-title-perspective-origin-x: 165px !default;\n$card-title-perspective-origin-y: 56px !default;\n\n$card-title-transform-origin-x: 165px !default;\n$card-title-transform-origin-y: 56px !default;\n\n$card-title-text-transform-origin-x: 149px !default;\n$card-title-text-transform-origin-y: 48px !default;\n\n$card-supporting-text-font-size: 1rem !default;\n$card-supporting-text-line-height: 18px !default;\n\n$card-actions-font-size: 16px !default;\n\n$card-title-text-font-weight: 300 !default;\n$card-z-index: 1 !default;\n\n/* Cover image */\n$card-cover-image-height: 186px !default;\n$card-background-image-url: '' !default;\n\n\n/* BUTTON */\n/**\n *\n * Dimensions\n *\n */\n$button-min-width: 64px !default;\n$button-height: 36px !default;\n$button-padding: 16px !default;\n$button-margin: 4px !default;\n$button-border-radius: 2px !default;\n\n$button-fab-size: 56px !default;\n$button-fab-size-mini: 40px !default;\n$button-fab-font-size: 24px !default;\n\n$button-icon-size: 32px !default;\n$button-icon-size-mini: 24px !default;\n\n\n/* ANIMATION */\n$animation-curve-fast-out-slow-in: cubic-bezier(0.4, 0, 0.2, 1) !default;\n$animation-curve-linear-out-slow-in: cubic-bezier(0, 0, 0.2, 1) !default;\n$animation-curve-fast-out-linear-in: cubic-bezier(0.4, 0, 1, 1) !default;\n\n$animation-curve-default: $animation-curve-fast-out-slow-in !default;\n\n\n/* PROGRESS */\n$bar-height: 4px !default;\n\n/* BADGE */\n$badge-font-size: 12px !default;\n$badge-color: unquote(\"rgb(#{$color-accent-contrast})\") !default;\n$badge-color-inverse: unquote(\"rgb(#{$color-accent})\") !default;\n$badge-background: unquote(\"rgb(#{$color-accent})\") !default;\n$badge-background-inverse: unquote(\"rgba(#{$color-accent-contrast},0.2)\") !default;\n$badge-size : 22px !default;\n$badge-padding: 2px !default;\n$badge-overlap: 12px !default;\n\n/* SHADOWS */\n\n$shadow-key-umbra-opacity: 0.2 !default;\n$shadow-key-penumbra-opacity: 0.14 !default;\n$shadow-ambient-shadow-opacity: 0.12 !default;\n\n/* GRID */\n\n$grid-desktop-columns: 12 !default;\n$grid-desktop-gutter: 16px !default;\n$grid-desktop-margin: 16px !default;\n\n$grid-desktop-breakpoint: 840px !default;\n\n$grid-tablet-columns: 8 !default;\n$grid-tablet-gutter: $grid-desktop-gutter !default;\n$grid-tablet-margin: $grid-desktop-margin !default;\n\n$grid-tablet-breakpoint: 480px !default;\n\n$grid-phone-columns: 4 !default;\n$grid-phone-gutter: $grid-desktop-gutter !default;\n$grid-phone-margin: $grid-desktop-margin !default;\n\n$grid-cell-default-columns: $grid-phone-columns !default;\n$grid-max-columns: $grid-desktop-columns !default;\n\n/* DATA TABLE */\n\n$data-table-font-size: 13px !default;\n$data-table-header-font-size: 12px !default;\n$data-table-header-sort-icon-size: 16px !default;\n\n$data-table-header-color: rgba(#000, 0.54) !default;\n$data-table-header-sorted-color: rgba(#000, 0.87) !default;\n$data-table-header-sorted-icon-hover-color: rgba(#000, 0.26) !default;\n$data-table-divider-color: rgba(#000, 0.12) !default;\n\n$data-table-hover-color: #eeeeee !default;\n$data-table-selection-color: #e0e0e0 !default;\n\n$data-table-dividers: 1px solid $data-table-divider-color !default;\n\n$data-table-row-height: 48px !default;\n$data-table-last-row-height: 56px !default;\n$data-table-header-height: 56px !default;\n\n$data-table-column-spacing: 36px !default;\n$data-table-column-padding: $data-table-column-spacing / 2;\n\n$data-table-card-header-height: 64px !default;\n$data-table-card-title-top: 20px !default;\n$data-table-card-padding: 24px !default;\n$data-table-button-padding-right: 16px !default;\n$data-table-cell-top: $data-table-card-padding / 2;\n\n/* DIALOG */\n$dialog-content-color: $card-supporting-text-text-color;\n\n/* SNACKBAR */\n\n// Hard coded since the color is not present in any palette.\n$snackbar-background-color: #323232 !default;\n$snackbar-tablet-breakpoint: $grid-tablet-breakpoint;\n$snackbar-action-color: unquote(\"rgb(#{$color-accent})\") !default;\n\n/* TOOLTIP */\n$tooltip-font-size: 10px !default;\n$tooltip-font-size-large: 14px !default;\n\n/* CHIP */\n$chip-bg-color: rgb(222, 222, 222) !default;\n$chip-bg-active-color: rgb(214, 214, 214) !default;\n$chip-height: 32px !default;\n$chip-font-size: 13px !default; \n","/**\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n@import \"../variables\";\n\n.mdl-mini-footer {\n  display: flex;\n  flex-flow: row wrap;\n  justify-content: space-between;\n\n  padding: ($padding * 2) $padding;\n\n  color: $footer-color;\n  background-color: $footer-bg-color;\n\n  &:after {\n    content: '';\n    display: block;\n  }\n\n  & .mdl-logo {\n    line-height: $footer-btn-size;\n  }\n}\n\n.mdl-mini-footer--link-list,\n.mdl-mini-footer__link-list {\n  display: flex;\n  flex-flow: row nowrap;\n\n  list-style: none;\n\n  margin: 0;\n  padding: 0;\n\n  & li {\n    margin-bottom: 0;\n    margin-right: $padding;\n\n    @media screen and (min-width: 760px) {\n      line-height: $footer-btn-size;\n    }\n  }\n\n  & a {\n    color: inherit;\n    text-decoration: none;\n    white-space: nowrap;\n  }\n}\n\n.mdl-mini-footer--left-section,\n.mdl-mini-footer__left-section {\n  display: inline-block;\n  order: 0;\n}\n\n.mdl-mini-footer--right-section,\n.mdl-mini-footer__right-section {\n  display: inline-block;\n  order: 1;\n}\n\n.mdl-mini-footer--social-btn,\n.mdl-mini-footer__social-btn {\n  width: $footer-btn-size;\n  height: $footer-btn-size;\n\n  padding: 0;\n  margin: 0;\n\n  background-color: $footer-button-fill-color;\n\n  border: none;\n}\n","/**\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n@import \"../variables\";\n\n.mdl-card {\n  display: flex;\n  flex-direction: column;\n  font-size: $card-font-size;\n  font-weight: 400;\n  min-height: $card-height;\n  overflow: hidden;\n  width: $card-width;\n  z-index: $card-z-index;\n  position: relative;\n  background: $card-background-color;\n  border-radius: 2px;\n  box-sizing: border-box;\n}\n\n.mdl-card__media {\n  background-color: $card-image-placeholder-color;\n  background-repeat: repeat;\n  background-position: 50% 50%;\n  background-size: cover;\n  background-origin: padding-box;\n  background-attachment: scroll;\n  box-sizing: border-box;\n}\n\n.mdl-card__title {\n  align-items: center;\n  color: $card-text-color;\n  display: block;\n  display: flex;\n  justify-content: stretch;\n  line-height: normal;\n  padding: $card-vertical-padding $card-horizontal-padding;\n  perspective-origin: $card-title-perspective-origin-x $card-title-perspective-origin-y;\n  transform-origin: $card-title-transform-origin-x $card-title-transform-origin-y;\n  box-sizing: border-box;\n\n  &.mdl-card--border {\n    border-bottom: 1px solid $card-border-color;\n  }\n}\n\n.mdl-card__title-text {\n  align-self: flex-end;\n  color: inherit;\n  display: block;\n  display: flex;\n  font-size: $card-title-font-size;\n  font-weight: $card-title-text-font-weight;\n  line-height: normal;\n  overflow: hidden;\n  transform-origin: $card-title-text-transform-origin-x $card-title-text-transform-origin-y;\n  margin: 0;\n}\n\n.mdl-card__subtitle-text {\n  font-size: $card-subtitle-font-size;\n  color: $card-subtitle-color;\n  margin: 0;\n}\n\n.mdl-card__supporting-text {\n  color: $card-supporting-text-text-color;\n  font-size: $card-supporting-text-font-size;\n  line-height: $card-supporting-text-line-height;\n  overflow: hidden;\n  padding: $card-vertical-padding $card-horizontal-padding;\n  width: 90%;\n\n  &.mdl-card--border {\n    border-bottom: 1px solid $card-border-color;\n  }\n}\n\n.mdl-card__actions {\n  font-size: $card-actions-font-size;\n  line-height: normal;\n  width: 100%;\n  background-color: rgba(0,0,0,0);\n  padding: 8px;\n  box-sizing: border-box;\n\n  &.mdl-card--border {\n    border-top: 1px solid $card-border-color;\n  }\n}\n\n.mdl-card--expand {\n  flex-grow: 1;\n}\n\n\n.mdl-card__menu {\n  position: absolute;\n  right: 16px;\n  top: 16px;\n}\n","/**\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n@import \"../variables\";\n@import \"../mixins\";\n\n// The button component. Defaults to a flat button.\n.mdl-button {\n  background: transparent;\n  border: none;\n  border-radius: $button-border-radius;\n  color: $button-secondary-color;\n  position: relative;\n  height: $button-height;\n  margin: 0;\n  min-width: $button-min-width;\n  padding: 0 $button-padding;\n  display: inline-block;\n  @include typo-button();\n  overflow: hidden;\n  will-change: box-shadow;\n  transition: box-shadow 0.2s $animation-curve-fast-out-linear-in,\n              background-color 0.2s $animation-curve-default,\n              color 0.2s $animation-curve-default;\n  outline: none;\n  cursor: pointer;\n  text-decoration: none;\n  text-align: center;\n  line-height: $button-height;\n  vertical-align: middle;\n\n  &::-moz-focus-inner {\n    border: 0;\n  }\n\n  &:hover {\n    background-color: $button-hover-color;\n  }\n\n  &:focus:not(:active) {\n    background-color: $button-focus-color;\n  }\n\n  &:active {\n    background-color: $button-active-color;\n  }\n\n  &.mdl-button--colored {\n    color: $button-primary-color-alt;\n\n    &:focus:not(:active) {\n      background-color: $button-focus-color-alt;\n    }\n  }\n}\n\ninput.mdl-button[type=\"submit\"] {\n  -webkit-appearance:none;\n}\n\n  // Raised buttons\n  .mdl-button--raised {\n    background: $button-primary-color;\n    @include shadow-2dp();\n\n    &:active {\n      @include shadow-4dp();\n      background-color: $button-active-color;\n    }\n\n    &:focus:not(:active) {\n      @include focus-shadow();\n      background-color: $button-active-color;\n    }\n\n    &.mdl-button--colored {\n      background: $button-primary-color-alt;\n      color: $button-secondary-color-alt;\n\n      &:hover {\n        background-color: $button-hover-color-alt;\n      }\n\n      &:active {\n        background-color: $button-active-color-alt;\n      }\n\n      &:focus:not(:active) {\n        background-color: $button-active-color-alt;\n      }\n\n      & .mdl-ripple {\n        background: $button-ripple-color-alt;\n      }\n    }\n  }\n\n\n  // FABs\n  .mdl-button--fab {\n    border-radius: 50%;\n    font-size: $button-fab-font-size;\n    height: $button-fab-size;\n    margin: auto;\n    min-width: $button-fab-size;\n    width: $button-fab-size;\n    padding: 0;\n    overflow: hidden;\n    background: $button-primary-color;\n    box-shadow: 0 1px 1.5px 0 rgba(0,0,0,0.12), 0 1px 1px 0 rgba(0,0,0,0.24);\n    position: relative;\n    line-height: normal;\n\n    & .material-icons {\n      position: absolute;\n      top: 50%;\n      left: 50%;\n      transform: translate(- $button-fab-font-size / 2, - $button-fab-font-size / 2);\n      line-height: $button-fab-font-size;\n      width: $button-fab-font-size;\n    }\n\n    &.mdl-button--mini-fab {\n      height: $button-fab-size-mini;\n      min-width: $button-fab-size-mini;\n      width: $button-fab-size-mini;\n    }\n\n    & .mdl-button__ripple-container {\n      border-radius: 50%;\n      // Fixes clipping bug in Safari.\n      -webkit-mask-image: -webkit-radial-gradient(circle, white, black);\n    }\n\n    &:active {\n      @include shadow-4dp();\n      background-color: $button-active-color;\n    }\n\n    &:focus:not(:active) {\n      @include focus-shadow();\n      background-color: $button-active-color;\n    }\n\n    &.mdl-button--colored {\n      background: $button-fab-color-alt;\n      color: $button-fab-text-color-alt;\n\n      &:hover {\n        background-color: $button-fab-hover-color-alt;\n      }\n\n      &:focus:not(:active) {\n        background-color: $button-fab-active-color-alt;\n      }\n\n      &:active {\n        background-color: $button-fab-active-color-alt;\n      }\n\n      & .mdl-ripple {\n        background: $button-fab-ripple-color-alt;\n      }\n    }\n  }\n\n\n  // Icon buttons\n  .mdl-button--icon {\n    border-radius: 50%;\n    font-size: $button-fab-font-size;\n    height: $button-icon-size;\n    margin-left: 0;\n    margin-right: 0;\n    min-width: $button-icon-size;\n    width: $button-icon-size;\n    padding: 0;\n    overflow: hidden;\n    color: inherit;\n    line-height: normal;\n\n    & .material-icons {\n      position: absolute;\n      top: 50%;\n      left: 50%;\n      transform: translate(- $button-fab-font-size / 2, - $button-fab-font-size / 2);\n      line-height: $button-fab-font-size;\n      width: $button-fab-font-size;\n    }\n\n    &.mdl-button--mini-icon {\n      height: $button-icon-size-mini;\n      min-width: $button-icon-size-mini;\n      width: $button-icon-size-mini;\n\n      & .material-icons {\n        top: ($button-icon-size-mini - $button-fab-font-size) / 2;\n        left: ($button-icon-size-mini - $button-fab-font-size) / 2;\n      }\n    }\n\n    & .mdl-button__ripple-container {\n      border-radius: 50%;\n      // Fixes clipping bug in Safari.\n      -webkit-mask-image: -webkit-radial-gradient(circle, white, black);\n    }\n  }\n\n\n  // Ripples\n  .mdl-button__ripple-container {\n    display: block;\n    height: 100%;\n    left: 0px;\n    position: absolute;\n    top: 0px;\n    width: 100%;\n    z-index: 0;\n    overflow: hidden;\n\n    .mdl-button[disabled] & .mdl-ripple,\n    .mdl-button.mdl-button--disabled & .mdl-ripple {\n      background-color: transparent;\n    }\n  }\n\n// Colorized buttons\n\n.mdl-button--primary.mdl-button--primary {\n  color: $button-primary-color-alt;\n  & .mdl-ripple {\n    background: $button-secondary-color-alt;\n  }\n  &.mdl-button--raised, &.mdl-button--fab {\n    color: $button-secondary-color-alt;\n    background-color: $button-primary-color-alt;\n  }\n}\n\n.mdl-button--accent.mdl-button--accent {\n  color: $button-fab-color-alt;\n  & .mdl-ripple {\n    background: $button-fab-text-color-alt;\n  }\n  &.mdl-button--raised, &.mdl-button--fab {\n    color: $button-fab-text-color-alt;\n    background-color: $button-fab-color-alt;\n  }\n}\n\n// Disabled buttons\n\n.mdl-button {\n  // Bump up specificity by using [disabled] twice.\n  &[disabled][disabled],\n  &.mdl-button--disabled.mdl-button--disabled {\n    color: $button-secondary-color-disabled;\n    cursor: default;\n    background-color: transparent;\n  }\n\n  &--fab {\n    // Bump up specificity by using [disabled] twice.\n    &[disabled][disabled],\n    &.mdl-button--disabled.mdl-button--disabled {\n      background-color: $button-primary-color-disabled;\n      color: $button-secondary-color-disabled;\n    }\n  }\n\n  &--raised {\n    // Bump up specificity by using [disabled] twice.\n    &[disabled][disabled],\n    &.mdl-button--disabled.mdl-button--disabled {\n      background-color: $button-primary-color-disabled;\n      color: $button-secondary-color-disabled;\n      box-shadow: none;\n    }\n  }\n  &--colored {\n    // Bump up specificity by using [disabled] twice.\n    &[disabled][disabled],\n    &.mdl-button--disabled.mdl-button--disabled {\n      color: $button-secondary-color-disabled;\n    }\n  }\n}\n\n// Align icons inside buttons with text\n.mdl-button .material-icons {\n  vertical-align: middle;\n}\n","// SIMPLE GRID - SASS/SCSS\n\n\n// fonts\n$font-weight-light: 300;\n$font-weight-regular: 400;\n$font-weight-heavy: 700;\n\n// colors\n$dark-grey: #333447;\n$dark-gray: #333447; // for the Americans\n\n\n.font-light {\n  font-weight: $font-weight-light;\n}\n\n.font-regular {\n  font-weight: $font-weight-regular;\n}\n\n.font-heavy {\n  font-weight: $font-weight-heavy;\n}\n\n// utility\n\n.left {\n  text-align: left;\n}\n\n.right {\n  text-align: right;\n}\n\n.center {\n  text-align: center;\n  margin-left: auto;\n  margin-right: auto;\n}\n\n.justify {\n  text-align: justify;\n}\n\n.hidden-sm {\n  display: none;\n}\n\n// grid\n\n$width: 98%;\n$gutter: 2%;\n$breakpoint-small: 33.75em; // 540px\n$breakpoint-med: 45em; // 720px\n$breakpoint-large: 60em; // 960px\n\n.container {\n  width: 100%;\n  margin-left: auto;\n  margin-right: auto;\n}\n\n.row {\n  position: relative;\n  width: 100%;\n}\n\n.row [class^=\"col\"] {\n  float: left;\n  margin: 0.5rem 1%;\n  min-height: 0.125rem;\n}\n\n.row::after {\n  content: \"\";\n  display: table;\n  clear: both;\n}\n\n.col-1,\n.col-2,\n.col-3,\n.col-4,\n.col-5,\n.col-6,\n.col-7,\n.col-8,\n.col-9,\n.col-10,\n.col-11,\n.col-12 {\n  width: $width;\n}\n\n.col-1-sm {\n  width: ($width / 12) - ($gutter * 11 / 12);\n}\n\n.col-2-sm {\n  width: ($width / 6) - ($gutter * 10 / 12);\n}\n\n.col-3-sm {\n  width: ($width / 4) - ($gutter * 9 / 12);\n}\n\n.col-4-sm {\n  width: ($width / 3) - ($gutter * 8 / 12);\n}\n\n.col-5-sm {\n  width: ($width / (12 / 5)) - ($gutter * 7 / 12);\n}\n\n.col-6-sm {\n  width: ($width / 2) - ($gutter * 6 / 12);\n}\n\n.col-7-sm {\n  width: ($width / (12 / 7)) - ($gutter * 5 / 12);\n}\n\n.col-8-sm {\n  width: ($width / (12 / 8)) - ($gutter * 4 / 12);\n}\n\n.col-9-sm {\n  width: ($width / (12 / 9)) - ($gutter * 3 / 12);\n}\n\n.col-10-sm {\n  width: ($width / (12 / 10)) - ($gutter * 2 / 12);\n}\n\n.col-11-sm {\n  width: ($width / (12 / 11)) - ($gutter * 1 / 12);\n}\n\n.col-12-sm {\n  width: $width;\n}\n\n@media only screen and (min-width: $breakpoint-med) {\n  .col-1 {\n    width: ($width / 12) - ($gutter * 11 / 12);\n  }\n  .col-2 {\n    width: ($width / 6) - ($gutter * 10 / 12);\n  }\n  .col-3 {\n    width: ($width / 4) - ($gutter * 9 / 12);\n  }\n  .col-4 {\n    width: ($width / 3) - ($gutter * 8 / 12);\n  }\n  .col-5 {\n    width: ($width / (12 / 5)) - ($gutter * 7 / 12);\n  }\n  .col-6 {\n    width: ($width / 2) - ($gutter * 6 / 12);\n  }\n  .col-7 {\n    width: ($width / (12 / 7)) - ($gutter * 5 / 12);\n  }\n  .col-8 {\n    width: ($width / (12 / 8)) - ($gutter * 4 / 12);\n  }\n  .col-9 {\n    width: ($width / (12 / 9)) - ($gutter * 3 / 12);\n  }\n  .col-10 {\n    width: ($width / (12 / 10)) - ($gutter * 2 / 12);\n  }\n  .col-11 {\n    width: ($width / (12 / 11)) - ($gutter * 1 / 12);\n  }\n  .col-12 {\n    width: $width;\n  }\n\n  .hidden-sm {\n    display: block;\n  }\n}\n\n.row {\n  display: -webkit-box;\n  display: -webkit-flex;\n  display: -ms-flexbox;\n  display: flex;\n  flex-wrap: wrap;\n}\n\n.row > [class*='col-'] {\n  display: flex;\n  flex-direction: column;\n}\n","\n/*\nMaterial Icons\n*/\n\n.material-icons {\n    font-family: 'Material Icons';\n    font-weight: normal;\n    font-style: normal;\n    font-size: 24px;  /* Preferred icon size */\n    display: inline-block;\n    line-height: 1;\n    text-transform: none;\n    letter-spacing: normal;\n    word-wrap: normal;\n    white-space: nowrap;\n    direction: ltr;\n  \n    /* Support for all WebKit browsers. */\n    -webkit-font-smoothing: antialiased;\n    /* Support for Safari and Chrome. */\n    text-rendering: optimizeLegibility;\n  \n    /* Support for Firefox. */\n    -moz-osx-font-smoothing: grayscale;\n  \n    /* Support for IE. */\n    font-feature-settings: 'liga';\n  }","html {\n    font-size: $font_size;\n}\n\nbody {\n    display: block !important;\n    background-color: $background_color;\n    font-size: 1rem;\n    line-height: 1.5rem;\n    font-family: $body_font_family;\n}\n\n.mdl-layout__content:focus {\n    outline: none;\n }\n\n.mdl-layout__content header.mdl-layout__drawer {\n    display: none;\n}\n\n.mdl-layout--fixed-drawer>.mdl-layout__content {\n    margin-left: 300px;    \n}\n\n@media screen and (max-width: 1024px) {\n    .mdl-layout--fixed-drawer>.mdl-layout__content {\n        margin-left:0\n    }\n}\n\nh1, h2, h3, h4, h5, h6, blockquote, span.mdl-layout-title,\na.download > code.download {\n    font-family: $body_font_family;\n}\n\nh1, h2, h3, h4, h5, h6, .toc-backref, .contents, .toctree-wrapper, .contents a, .toctree-wrapper a, .globaltoc a.current {\n    color: $color-mxnet !important;\n}\n\na {\n    text-decoration: none;\n}\n\n.page-content {\n    font-size: 1rem;\n    p, ul, ol, dl, dd, dt, table, th, td {\n        font-size: 1rem;\n    }\n}\n\n.brand {\n    color: inherit;\n    text-decoration: none;\n}\n\n.section {\n    overflow-x: auto;\n}\n\n\n/*\n *  Figure Directive Styles\n */\n img {\n    max-width: 100%;\n    display: block;\n    margin-left: auto;\n    margin-right: auto;\n }\n\ndiv.figure {\n    p.caption {\n        text-align: center;\n        margin-top: .75rem;\n\n        span.caption-number {\n            font-style: normal;\n        }\n        .caption-number::after {\n            content: \"\\00a0\";\n        }\n    }\n}\n\n.svg-icon {\n  width: 16px;\n  height: 16px;\n  display: inline-block;\n  fill: $grey-color-light;\n  padding-right: 5px;\n  padding-top: 4px;\n  vertical-align: text-top;\n}\n\n/*\n * Download Link Styles\n */\na.download > i.material-icons {\n    position: relative;\n    top: 5px;\n}\n\na.download {\n    text-decoration: none;\n}\n\n%clearfix:after {\n  content: \"\";\n  display: table;\n  clear: both;\n}\n\n.wrapper {\n  max-width: -webkit-calc(#{$content-width} - (#{$spacing-unit} * 2));\n  max-width: calc(#{$content-width} - (#{$spacing-unit} * 2));\n  margin-right: auto;\n  margin-left: auto;\n  padding-right: calc(#{$spacing-unit}+15px);\n  padding-left: $spacing-unit;\n  @extend %clearfix;\n\n  @media screen and (max-width: $on-laptop) {\n    max-width: -webkit-calc(#{$content-width} - (#{$spacing-unit}));\n    max-width: calc(#{$content-width} - (#{$spacing-unit}));\n    padding-right: $spacing-unit / 2;\n    padding-left: $spacing-unit / 2;\n  }\n}\n\n","/*\nVariables\n*/\n$font_size: 16px;\n\n$background_color: #fafafa;\n$code_background: rgba(0,0,0,.05);\n\n$code_font_family: \"Menlo\", \"DejaVu Sans Mono\", \"Liberation Mono\", \"Consolas\", \"Ubuntu Mono\", \"Courier New\", \"andale mono\", \"lucida console\", monospace !default;\n$body_font_family: -apple-system,BlinkMacSystemFont,\"Segoe UI\",Roboto,\"Helvetica Neue\",Arial,sans-serif,\"Apple Color Emoji\",\"Segoe UI Emoji\",\"Segoe UI Symbol\" !default;\n$base-font-size:   17px !default;\n\n$xl-breakpoint: 1795px;\n$lg-breakpoint: 1200px;\n$md-breakpoint: 992px;\n$sm-breakpoint: 768px;\n$xs-breakpoint: 576px;\n\n$color-primary: $palette-blue-500;\n$color-primary-dark: $palette-blue-700 !default;\n$color-accent: $palette-deep-orange-A200 !default;\n$color-primary-contrast: $color-white !default;\n$color-accent-contrast: $color-white !default;\n\n\n$base-line-height: 1.5 !default;\n$spacing-unit:     30px !default;\n\n$color-mxnet: rgb(4,140,204);\n$color-mxnet-dark: rgb(4,60,110);\n$grey-color:       #828282 !default;\n$grey-color-light: lighten($grey-color, 45%) !default;\n$grey-color-dark:  darken($grey-color, 25%) !default;\n\n$table-text-align: left !default;\n\n// Width of the content area\n$content-width:    1150px !default;\n\n$on-palm:          600px !default;\n$on-palm:          900px !default;\n$on-laptop:        1024px !default;","/**\n * Layout Styles\n */\n $layout: (\n    document: (\n        xl: (\n            width: 100%,\n        )\n    ),\n    drawer-container: (\n        width: $layout-drawer-width,\n    ),\n    side-doc-outline: (\n        width: 230px,\n    ),\n    page-content: (\n        md: (\n            width: 90%,\n            padding: 0 5%\n        ),\n        lg: (\n            width: calc( 90% - 230px ),\n            padding: 0 5%\n        )\n    )\n);\n\n.mdl-layout {\n    margin-top: 76px;\n}\n\n\n.document {\n    width: 100%;\n    margin: 0 auto;\n    display: flex;\n\n    @media (min-width: $xl-breakpoint) {\n        width: map-get(map-get(map-get($layout, document), xl), width);\n    }\n    .page-content {\n        width: 100%;\n        margin: 0 auto;\n        padding: 0 12px;\n\n        @media (min-width: $md-breakpoint) {\n            width: map-get(map-get(map-get($layout, page-content), md), width);\n            padding: map-get(map-get(map-get($layout, page-content), md), padding);\n        }\n\n        @media (min-width: $lg-breakpoint) {\n            width: map-get(map-get(map-get($layout, page-content), lg), width);\n            padding: map-get(map-get(map-get($layout, page-content), lg), padding);\n        }\n    }\n\n    .side-doc-outline {\n        width: map-get(map-get($layout, side-doc-outline), width);\n\n        @media (max-width: $lg-breakpoint - 1) {\n            display: none;\n        } \n        &--content {\n            position: fixed;\n            overflow-x: auto;\n            overflow-y: auto;\n            width: inherit;\n            right: 0px;\n            &::-webkit-scrollbar {\n                width: 6px;\n            }\n    \n            &::-webkit-scrollbar-track {\n                border-radius: 6px;\n            }\n    \n            &::-webkit-scrollbar-thumb {\n                background-color: rgba(0, 0, 0, .3);\n                border-radius: 6px;\n                box-shadow:0 0 0 1px rgba(255, 255, 255, .3);\n            }\n        }\n    }\n\n}","@keyframes float-in {\n    0% {\n        transform: translateY(0.5rem);\n        opacity: 0;\n    }\n\t100% {\n\t\ttransform: translateY(0);\n\t\topacity: 1;\n\t}\n}\n\n@keyframes float-out {\n    0% {\n        transform: translateY(0);\n        opacity: 1;\n    }\n\t100% {\n\t\ttransform: translateY(0.5rem);\n\t\topacity: 0;\n\t}\n}\n\n.page-content {\n    .headerlink {\n        display: inline-block;\n        text-decoration: none;\n        margin-left: 0.8rem;\n        color: inherit;\n        opacity: 0;\n        &:hover {\n            animation: float-in 0.2s $animation-curve-fast-out-slow-in 0s forwards;\n        }\n    }\n\n    h1, h2, h3, h4, h5, h6 {\n        .toc-backref {\n            text-decoration: none;\n        }\n        &:hover {\n            .headerlink {\n                animation: float-in 0.2s $animation-curve-fast-out-slow-in 0s forwards;\n            }\n        }\n    }\n\n    h1 {\n        font-size: 2rem;\n        line-height: 2.25rem;\n    }\n\n    h2 {\n        font-size: 1.75rem;\n        line-height: 2rem;\n        padding-top: 1.5rem;\n        margin-top: 0;\n        margin-bottom: 1rem;\n    }\n\n    h3 {\n        font-size: 1.5rem;\n        line-height: 1.75rem;\n        padding-top: 1rem;\n        margin-top: 0px;\n        margin-bottom: .75rem;\n    }\n\n    h4 {\n        font-size: 1.25rem;\n        line-height: 1.5rem;\n        padding-top: .75rem;\n        margin-top: 0px;\n        margin-bottom: .5rem;\n    }\n\n    div.page-content h5 {\n        font-size: 1.1rem;\n        line-height: 1.5rem;\n        padding-top: 2rem;\n        margin-top: 0px;\n        margin-bottom: 1rem;\n    }\n\n    div.page-content h6 {\n        font-size: 1rem;\n        line-height: 1.5rem;\n        padding-top: 2rem;\n        margin-top: 0px;\n        margin-bottom: 1rem;\n    }\n\n\n}\n","\n/*\n * Admonition Styles\n */\n $admonitions: (\n    hint: (\n        font-color: rgb(0, 188, 212),\n        background-color: rgba(0, 188, 212, 0.1),\n        icon-content: \"help_outline\"\n    ),\n    note: (\n        font-color: rgb(0, 188, 212),\n        background-color: rgba(0, 188, 212, 0.1),\n        icon-content: \"info_outline\"\n    ),\n    seealso: (\n        font-color: rgb(0, 188, 212),\n        background-color: rgba(0, 188, 212, 0.1),\n        icon-content: \"search\"\n    ),\n    warning: (\n        font-color: rgb(255, 193, 7),\n        background-color: rgba(255, 193, 7, 0.1),\n        icon-content: \"warning\"\n    ),\n    attention: (\n        font-color: rgb(255, 193, 7),\n        background-color: rgba(255, 193, 7, 0.1),\n        icon-content: \"warning\"\n    ),\n    tip: (\n        font-color: rgb(139, 195, 74),\n        background-color: rgba(139, 195, 74, 0.1),\n        icon-content: \"lightbulb_outline\"\n    ),\n    important: (\n        font-color: rgb(139, 195, 74),\n        background-color: rgba(139, 195, 74, 0.1),\n        icon-content:  \"check_circle\"\n    ),\n    error: (\n        font-color: rgb(244, 67, 54),\n        background-color: rgba(244, 67, 54, 0.1),\n        icon-content: \"error_outline\"\n    ),\n    caution: (\n        font-color: rgb(244, 67, 54),\n        background-color: rgba(244, 67, 54, 0.1),\n        icon-content: \"error_outline\"\n    ),\n    danger: (\n        font-color: rgb(244, 67, 54),\n        background-color: rgba(244, 67, 54, 0.1),\n        icon-content: \"error_outline\"\n    )\n);\n\n @mixin admonition-style($type) {\n    border-left: solid 4px map-get(map-get($admonitions, $type), font-color);\n    background-color: map-get(map-get($admonitions, $type), background-color);\n    .admonition-title {\n        font-size: 16px;\n        font-weight: bold;\n        color: map-get(map-get($admonitions, $type), font-color);\n\n        margin-top: 4px;\n        margin-bottom: 8px;\n        &::before {\n            @extend .material-icons;\n            position: relative;\n            margin-right: 5px;\n            top: 3px;\n            content: map-get(map-get($admonitions, $type), icon-content);\n            font-size: 18px;\n        }\n    }\n}\n\n.admonition {\n    @extend .mdl-shadow--2dp;\n\n    padding: 12px 20px;\n    margin-top: 10px;\n    margin-bottom: 10px;\n    p.last {\n        margin: 16px;\n    }\n    .admonition-title {\n        font-size: 16px;\n        font-weight: bold;\n        color: #555;\n        text-transform: uppercase;\n        margin-top: 7px;\n    }\n\n    @each $type in (note, seealso, hint, warning, attention, tip, important, error, caution, danger) {\n        &.#{$type} {\n            @include admonition-style($type);\n        }\n    }\n}\n",".page-content {\n    .highlight {\n        margin: 1px 0;\n        pre {\n            background: $code_background;\n            color: rgba(0,0,0,.87);\n            font-family: $code_font_family;\n            padding: 0.75rem;\n            overflow: auto;\n            overflow-y: hidden;\n            .o, .nd {\n                color: rgba(0,0,0,.87);\n            }\n        }\n    }\n\n    div.highlight-console div.highlight {\n        background: none;\n    }\n\n    // for jupyter notebook output cell\n    .output {\n        .highlight {\n            pre {\n                color: rgba(0,0,0,.87);\n                background: $background_color;\n                border-width: 1px;\n                border-color: #999;\n                border-style: solid;\n                padding: 0.75rem;\n            }\n        }\n     }\n\n    .code, code:not(.download) {\n        margin: 0 0;\n        font-family: $code_font_family;\n        border-radius: 2px;\n        span.pre {\n            font-family: $code_font_family;\n        }\n    }\n\n    .viewcode-link {\n        padding-left: 2em;\n        font-size: 80%;\n    }\n\n    .rubric, .method > dt, .function > dt, .class > dt {\n        display: table;\n        margin: 10px 0;\n        font-size: 100%;\n        line-height: normal;\n        background: #e7f2fa;\n        color: #2B98F0;\n        border-top: solid 3px #55ADF3;\n        padding: 10px;\n        position: relative;\n        .descname, .descclassname {\n            color: rgba(0,0,0,.87);\n            background: #e7f2fa;\n            padding: 3px;\n        }\n        em {\n            padding: 0 2px;\n        }\n    }\n\n\n    .rubric {\n        margin: 30px 0 10px 0;\n     }\n\n\n    .field-body {\n        padding-left: 40px;\n        ul {\n            padding: 0 0 0 16px;\n            margin: 0;\n        }\n    }\n\n     // .docutils > dt {\n    //     padding: 6px;\n    //     display: table;\n    //     margin-bottom: 6px;\n    //     border: none;\n    //     border-left: solid 3px #ccc;\n    //     background: #f0f0f0;\n    //     color: #555;\n    // }\n\n    .seealso .docutils > dt {\n       float: left;\n       clear: left;\n       padding: 0 6px;\n     }\n\n    .seealso .docutils > dd {\n       padding-left: 6em;\n    }\n    .nblast {\n        padding-bottom: 1em;\n    }\n\n    pre {\n        font-size: 90%;\n        background: #eee;\n        color: #455A64;\n        padding: 16px 32px;\n        width: auto;\n        border-radius: 4px;\n        word-wrap: break-word;\n\n        &:hover {\n            @extend .mdl-shadow--2dp;\n\n            &:before {\n                font-family: $body_font_family;\n                padding: 0 0.5rem;\n                content: attr(click-to-copy);\n                color: rgba(0, 0, 0, 0.5);\n                border-radius: 4px;\n                position: relative;\n                float: right;\n                top: -0.5rem;\n                right: -0.5rem;\n                background: rgb(200, 200, 200);\n                font-size: 0.8rem;\n                cursor: pointer;\n            }\n        }\n    }\n}\n","/*\n * Quotation Block Styles\n */\n .page-content {\n    blockquote {\n        font-size: 1rem;\n        padding: 0 1rem;\n        border-left: 3px solid $code_background;\n\n        &:after {\n            content: \"\" !important;\n            margin-left: 0;\n        }\n        &:before {\n            content: \"\" !important;\n        }\n    }\n }\n",".page-content {\n    table:not(.footnote):not(.indextable):not(.hlist):not(.option-list):not(.field-list) {\n        @extend .mdl-data-table;\n        @extend .mdl-shadow--2dp;\n\n        margin: 1.5rem 0;\n        table-layout: fixed;\n        max-width: 100%;\n        min-width: 70%;\n\n        th, td {\n            @extend .mdl-data-table__cell--non-numeric;\n            white-space: normal;\n            overflow-wrap: break-word;\n        }\n\n        caption {\n            font-size: $font_size;\n            margin: 1rem 0 0.8rem 0;\n            white-space: normal;\n            .caption-number {\n                font-style: normal;\n            }\n            .caption-number::after {\n                content: \"\\00a0\";\n            }\n        }\n\n    }\n}\n",".globaltoc {\n    \n    .caption, .toc {\n        display: none;\n    }\n\n    ul {\n\n        list-style-type: none;\n        padding: 0;\n        margin: 0;\n\n        li {\n            min-height: 18px;\n            .link-wrapper {\n                display: flex;\n                justify-content: space-between;\n                > a {\n                    padding: 4px 0;\n                    display: block;\n                    width: 100%;\n                    font-size: 1rem;\n                    text-decoration: none;\n                    color: $layout-drawer-navigation-color;\n                    &.current {\n                        font-weight: bold;\n                    }\n                }\n            }\n        }\n    }\n\n    .nav-toggle {\n        padding: 0;\n        float: right;\n        display: flex;\n        align-items: center;\n        justify-content: center;\n        height: 36px;\n        > a {\n            padding: 0;\n            margin-left: 0;\n            margin-right: 4px;\n            cursor: pointer;\n            > i {\n                font-size: 18px;\n            }\n        }\n        &.show {\n            transform: rotateZ(180deg);\n            > a {\n                margin-right: 0;\n                margin-left: 4px;\n            }\n        }\n    }\n\n    nav {\n        > ul > li > span.link-wrapper {\n            padding-left: 8px;\n        }\n        > ul > li > ul > li > span.link-wrapper {\n            padding-left: 16px;\n        }\n        > ul > li > ul > li > ul > li > span.link-wrapper {\n            padding-left: 24px;\n        }\n        > ul > li > ul > li > ul > li > ul> li > span.link-wrapper {\n            padding-left: 32px;\n        }\n        > ul > li > ul > li > ul > li > ul > li > ul> li > span.link-wrapper {\n            padding-left: 40px;\n        }\n        > ul > li > ul > li > ul > li > ul > li > ul > li > ul> li > span.link-wrapper {\n            padding-left: 48px;\n        }\n    }\n}\n",".localtoc {\n    font-size: 0.75rem;\n    padding-top: 1rem;\n\n    .caption {\n        padding-left: 12px;\n        &-text {\n            font-size: 0.9rem;\n            font-weight: 700;\n        }\n    }\n\n    > ul > li > a {\n        display: none;\n    }\n\n    ul {\n        padding: 0;\n        list-style-type: none;\n    }\n\n    li {\n        padding-left: 6px;\n    }\n\n    a {\n        display: block;\n        text-decoration: none;\n        color: inherit;\n        margin-top: 8px;\n        padding-left: 8px;\n        line-height: 1.1rem;\n    \n        &.current {\n            padding-left: 5px;\n            border-left: 3px solid;\n            font-weight: bold;\n        }\n    }\n}","/*\r\n *  Toctree and Contents Directive Styles\r\n */\r\n .toctree-wrapper,\r\n .contents.topic {\r\n     border-left: 5px solid;\r\n }\r\n\r\n .toctree-wrapper > p.caption,\r\n .contents.topic > p.topic-title {\r\n     color: rgb(117, 117, 117);\r\n     font-size: 1rem;\r\n     padding-left: 14px;\r\n }\r\n\r\n .toctree-wrapper ul,\r\n .contents.topic ul{\r\n     padding-left: 14px;\r\n     list-style: none;\r\n     line-height: 30px;\r\n }\r\n\r\n .toctree-wrapper a,\r\n .contents.topic a {\r\n     font-size: 1.2rem;\r\n     text-decoration: none;\r\n     .pre {\r\n         font-size: 1rem;\r\n     }\r\n }\r\n\r\n .toctree-wrapper > ul > li > a,\r\n .contents.topic > ul > li > a {\r\n     font-size: 1.3rem;\r\n     .pre {\r\n         font-size: 1.1rem;\r\n     }\r\n }\r\n",".page-content {\n    ul {\n        li {\n            margin: .3rem 0;\n            p {\n                margin: 0;\n            }\n        }\n    }\n    .option-list {\n        .option {\n            font-family: $code_font_family;\n        }\n        td {\n            padding: 0.5rem;\n            border: none;\n        }\n    }\n}\n","/*\r\n * Drawer Styles\r\n */\r\n.mdl-layout {\r\n    &__drawer {\r\n        background-color: #fff;\r\n\r\n        &::-webkit-scrollbar {\r\n            width: 6px;\r\n        }\r\n\r\n        &::-webkit-scrollbar-track {\r\n            border-radius: 6px;\r\n        }\r\n\r\n        &::-webkit-scrollbar-thumb {\r\n            background-color: rgba(0, 0, 0, .3);\r\n            border-radius: 6px;\r\n            box-shadow:0 0 0 1px rgba(255, 255, 255, .3);\r\n        }\r\n\r\n        > .mdl-layout-title {\r\n            font-weight: bold;\r\n            text-align: right;\r\n            margin: 0;\r\n            padding: 0;\r\n            line-height: 32px;\r\n            border-bottom: 1px solid rgba(0,0,0,.1);\r\n            min-height: 64px;\r\n            .title {\r\n                color: inherit;\r\n                display: block;\r\n                height: 100%;\r\n                width: 100%;\r\n                text-decoration: none;\r\n                > img.logo {\r\n                    width: 100%;\r\n                    margin: 0;\r\n                    padding: 0;\r\n                }\r\n\r\n                &-text {\r\n                    font-weight: bold;\r\n                    text-align: right;\r\n                    padding: 0 10px;\r\n                    margin: 16px 0 8px 0;\r\n                    line-height: 32px;\r\n                    font-family: $body_font_family;\r\n                    color: inherit;\r\n                    display: block;\r\n                }\r\n            }\r\n        }\r\n    }\r\n}\r\n","/*\r\n * Header Styles\r\n */\r\n\r\nnav.breadcrumb {\r\n    > a.mdl-navigation__link {\r\n        padding: 0 8px;\r\n        font-size: 18px;\r\n    }\r\n    @media (max-width: $lg-breakpoint - 1) {\r\n        width: calc( 100% - 64px );\r\n        a.mdl-navigation__link.is-active {\r\n            overflow-x: hidden;\r\n            width: 100%;\r\n            overflow: hidden;\r\n            white-space: nowrap;\r\n            text-overflow: ellipsis;\r\n        }\r\n        a.mdl-navigation__link:not(.is-active),\r\n        i.material-icons {\r\n            display: none;\r\n        }\r\n    }\r\n}\r\n\r\ndiv.mdl-layout__header {\r\n    margin-top: 77px;\r\n}\r\n\r\n.mdl-layout__drawer-button {\r\n    top: 13px !important;\r\n}\r\n\r\ndiv.mdl-layout__header-row.header-links {\r\n    background: rgba(255,255,255,0.2);\r\n    width: 100%;\r\n    overflow-x: auto;\r\n    overflow-y: hidden;\r\n\r\n    a.mdl-navigation__link  {\r\n        font-size: 1rem;\r\n        i {\r\n            font-size: 1.2rem;\r\n            margin: 0 8px;\r\n            position: relative;\r\n            bottom: -0.1rem;\r\n        }\r\n    };\r\n\r\n    a.mdl-navigation__link:hover  {\r\n        background-color: unquote(\"rgb(#{$color-primary})\");\r\n        color: #eeeeee;\r\n    };\r\n    a.mdl-navigation__link[href=\"#\"]  {\r\n        background-color: unquote(\"rgb(#{$color-primary})\");\r\n        opacity: 1;\r\n        color: #ffffff;\r\n    };\r\n}\r\n\r\n/* mxnet-header */\r\n\r\n\r\n.site-title {\r\n  font-weight: 300 !important;\r\n  line-height: 57px;\r\n  letter-spacing: -1px;\r\n  margin-bottom: 0;\r\n  float: left;\r\n  color: white;\r\n\r\n  &,\r\n  &:visited {\r\n    color: $grey-color-dark;\r\n  }\r\n}\r\n\r\n\r\n.site-header {\r\n  position: fixed;\r\n  top: 0;\r\n  width: 100%;\r\n  min-height: 55px;\r\n  padding-top: 10px;\r\n  padding-bottom: 10px;\r\n  background-color: $color-mxnet;\r\n  z-index: 10;\r\n  font-weight: 300;\r\n  font-size: 17px;\r\n  border-bottom: 1px solid white;\r\n}\r\n\r\n.site-header-logo {\r\n  width: 120px;\r\n  display: initial;\r\n}\r\n\r\n.site-nav {\r\n  float: right;\r\n  line-height: 57px;\r\n\r\n  .nav-trigger {\r\n    display: none;\r\n  }\r\n\r\n  .menu-icon {\r\n    display: none;\r\n  }\r\n\r\n  .page-link {\r\n    color: white;\r\n    line-height: 1.5;\r\n    font-weight: 300;\r\n    // Gaps between nav items, but not on the last one\r\n    &:not(:last-child) {\r\n      margin-right: 40px;\r\n    }\r\n\r\n    &:hover {\r\n      color: white;\r\n      text-shadow: -0.06ex 0 white, 0.06ex 0 white;\r\n    }\r\n  }\r\n\r\n  .page-link.page-current {\r\n    color: white;\r\n    text-decoration: underline;\r\n  }\r\n\r\n  @media screen and (max-width: $on-laptop) {\r\n    position: absolute;\r\n    top: 9px;\r\n    right: 15px;\r\n    background-color: rgb(23,141,201);\r\n    border-radius: 2px;\r\n    text-align: right;\r\n\r\n    label[for=\"nav-trigger\"] {\r\n      display: block;\r\n      float: right;\r\n      width: 36px;\r\n      height: 36px;\r\n      z-index: 2;\r\n      cursor: pointer;\r\n    }\r\n\r\n    .menu-icon {\r\n      display: block;\r\n      float: right;\r\n      width: 36px;\r\n      height: 26px;\r\n      line-height: 0;\r\n      padding-top: 20px;\r\n      text-align: center;\r\n\r\n      > svg {\r\n        fill: white;\r\n      }\r\n    }\r\n\r\n    input ~ .trigger {\r\n      clear: both;\r\n      display: none;\r\n    }\r\n\r\n    input:checked ~ .trigger {\r\n      display: block;\r\n      padding-bottom: 5px;\r\n    }\r\n\r\n    .page-link {\r\n      padding: 5px 10px;\r\n      display: block;\r\n\r\n      &:not(:last-child) {\r\n        margin-right: 0;\r\n      }\r\n\r\n      margin-left: 20px;\r\n    }\r\n  }\r\n}","/*\r\n * Footer Styles\r\n */\r\nfooter.mdl-mini-footer {\r\n    background-color: #212121;\r\n    > div.mdl-mini-footer__left-section {\r\n        margin-bottom: 20px;\r\n        display: flex;\r\n        flex-direction: column;\r\n        .mdl-logo {\r\n            font-size: 1.1rem;\r\n        }\r\n        ul {\r\n            @extend .mdl-mini-footer__link-list;\r\n        }\r\n    }\r\n    > div.mdl-mini-footer__right-section {\r\n        font-size: 0.9rem;\r\n        display: flex;\r\n        flex-direction: column;\r\n        justify-content: flex-end;\r\n\r\n        a {\r\n            color: inherit;\r\n            font-weight: bold;\r\n            text-decoration: none;\r\n        }\r\n    }\r\n    p.caption {\r\n        display: none;\r\n    }\r\n}\r\n\r\n/*\r\n * Pagenation Block Styles\r\n */\r\n .pagenation {\r\n    width: 100%;\r\n    margin-top: 80px;\r\n    height: 92px;\r\n    background-color: #424242;\r\n    display: flex;\r\n\r\n    .button-common {\r\n        text-transform: none;\r\n        padding: 0;\r\n        height: 92px;\r\n        display: flex;\r\n        justify-content: center;\r\n        align-items: center;\r\n        color: #ffffff;\r\n    }\r\n    #button-prev {\r\n        @extend .button-common;\r\n        margin-right: auto;\r\n        .pagenation-text {\r\n            text-align: left;\r\n        }\r\n        \r\n    }\r\n    #button-next {\r\n        @extend .button-common;\r\n        margin-left: auto;\r\n        flex-direction: row-reverse;\r\n        .pagenation-text {\r\n            text-align: right;\r\n        }\r\n    }\r\n\r\n    &-arrow {\r\n        &-L {\r\n            margin-right: 20px;\r\n        }\r\n        &-R {\r\n            margin-left: 20px;\r\n        }\r\n    }\r\n\r\n    &-text {\r\n        line-height: 30px;\r\n        font-size: 20px;\r\n    }\r\n\r\n    &-direction {\r\n        opacity: 0.7;\r\n        font-size: 18px;\r\n    }\r\n    @media screen and (max-width: 1024px) {\r\n        #button-prev {\r\n            width: 20%;\r\n        }\r\n        \r\n        #button-next {\r\n            width: 80%;\r\n        }\r\n    \r\n        #button-prev .pagenation-text {\r\n            display: none;\r\n        }\r\n    }\r\n    @media screen and (min-width: 1025px) {\r\n        #button-prev,\r\n        #button-next {\r\n            width: 50%;\r\n        }\r\n    \r\n        #button-prev .pagenation-text {\r\n            display: block;\r\n        }\r\n    }\r\n}\r\n\r\n\r\n\r\n/**\r\n * Site footer\r\n */\r\n.site-footer {\r\n  border-top: 1px solid $grey-color-light;\r\n  padding: $spacing-unit 0;\r\n  background-color: #424242;\r\n  position: relative;\r\n  z-index: 10;\r\n  .footer-category-title {\r\n    color: $color-mxnet;\r\n  }\r\n  a {\r\n    color: $grey-color-light !important;\r\n\r\n    &:visited {\r\n      color: $grey-color-light !important;\r\n    }\r\n  }\r\n\r\n}\r\n\r\n.site-footer2 {\r\n  background-color: #424242;\r\n  padding-top: 40px;\r\n  padding-bottom: 10px;\r\n  position: relative;\r\n  z-index: 10;\r\n}\r\n\r\n.footer-heading {\r\n  margin-bottom: $spacing-unit / 2;\r\n}\r\n\r\n.contact-list,\r\n.social-media-list {\r\n  list-style: none;\r\n  margin-left: 0;\r\n}\r\n\r\n\r\n.footer-bottom-warning {\r\n  font-size: 80%;\r\n  color: white;\r\n  float: left;\r\n}\r\n\r\n.footer-logo {\r\n  width: 200px;\r\n  margin-bottom: 30px;\r\n  margin-top: 30px;\r\n}\r\n\r\n.footer-col {\r\n  float: left;\r\n  margin-bottom: $spacing-unit / 2;\r\n  padding-left: $spacing-unit / 2;\r\n}\r\n\r\n.footer-text {\r\n  color: $grey-color-light;\r\n}\r\n\r\n"," /*\r\n  * Search Styles\r\n  */\r\n#waterfall-exp::-webkit-input-placeholder {\r\n    color: #ccc;\r\n}\r\n#waterfall-exp:-ms-input-placeholder {\r\n    color: #ccc;\r\n}\r\n#waterfall-exp::-moz-placeholder {\r\n    color: #ccc;\r\n}\r\n\r\nul.search span.highlighted {\r\n    font-weight: bold;\r\n}\r\n\r\nul.search > li {\r\n    margin-bottom: 24px;\r\n}\r\n\r\n#search-results {\r\n    ul {\r\n        list-style: none;\r\n        padding: 0;\r\n        li {\r\n            > a {\r\n                text-decoration: none;\r\n                font-size: 1.2rem;\r\n            }\r\n        }\r\n    }\r\n}\r\n","a.download {\n    &:before {\n        @extend .material-icons;\n        content: \"file_download\";\n        position: relative;\n        top: 5px;\n        margin-right: 5px;\n    }\n}\n\nbutton.download {\n    position: sticky;\n    margin-left: 1em;\n}\n",".mdl-card {\n    margin: 1em 1.5em 1em 0;\n    display: inline-block;\n    width: 250px;\n    min-height: 140px;\n    padding: 18px;\n}\n.mdl-card:hover {\n    box-shadow: 0 10px 20px rgba(0,0,0,0.25), 0 6px 6px rgba(0,0,0,0.22);\n    color: #000;\n    cursor: pointer;\n}\n.mdl-card__title {\n    padding: 0 0 1em 0;\n    font-size: 18px;\n    color: #444;\n}\n\n.mdl-card__supporting-text {\n    line-height: 1.5rem;\n    padding: 0px;\n    width: 100%;\n}\n\n.head-card.mdl-card {\n    width: auto;\n    display: block;\n    max-width: 800px;\n    padding: 24px;\n}\n\n.head-card > .mdl-card__title {\n    padding-bottom: 0px;\n    height: 60px;\n    font-weight: 700;\n    text-transform: uppercase;\n}\n.head-card > .mdl-card__menu {\n    color: #fff;\n}\n.head-card > .mdl-card__actions {\n    padding: 0;\n}\n.cards {\n    display: flex;\n    flex-direction: row;\n    flex-wrap: wrap;\n}\n"]}
\ No newline at end of file
diff --git a/docs/python_docs/themes/mx-theme/mxtheme/static/sphinx_materialdesign_theme.js b/docs/python_docs/themes/mx-theme/mxtheme/static/sphinx_materialdesign_theme.js
index 6b3ab86993a7..7ca6cd602aa3 100644
--- a/docs/python_docs/themes/mx-theme/mxtheme/static/sphinx_materialdesign_theme.js
+++ b/docs/python_docs/themes/mx-theme/mxtheme/static/sphinx_materialdesign_theme.js
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+},{}],"dMzA":[function(require,module,exports) {
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n=e.href.split("#")[1],a=i.content_.querySelector("#"+n);i.resetTabState_(t),i.resetPanelState_(s),e.classList.add(i.CssClasses_.IS_ACTIVE),a.classList.add(i.CssClasses_.IS_ACTIVE)}if(i.tabBar_.classList.contains(i.CssClasses_.JS_RIPPLE_EFFECT)){var a=document.createElement("span");a.classList.add(i.CssClasses_.RIPPLE_CONTAINER),a.classList.add(i.CssClasses_.JS_RIPPLE_EFFECT);var l=document.createElement("span");l.classList.add(i.CssClasses_.RIPPLE),a.appendChild(l),e.appendChild(a)}i.tabBar_.classList.contains(i.CssClasses_.TAB_MANUAL_SWITCH)||e.addEventListener("click",function(t){"#"===e.getAttribute("href").charAt(0)&&(t.preventDefault(),n())}),e.show=n}var i={upgradeDom:function(e,t){},upgradeElement:function(e,t){},upgradeElements:function(e){},upgradeAllRegistered:function(){},registerUpgradedCallback:function(e,t){},register:function(e){},downgradeElements:function(e){}};(i=function(){function t(e,t){for(var s=0;s<r.length;s++)if(r[s].className===e)return void 0!==t&&(r[s]=t),r[s];return!1}function s(e){var t=e.getAttribute("data-upgraded");return null===t?[""]:t.split(",")}function i(e,t){return-1!==s(e).indexOf(t)}function n(e,t,s){if("CustomEvent"in window&&"function"==typeof window.CustomEvent)return new CustomEvent(e,{bubbles:t,cancelable:s});var i=document.createEvent("Events");return i.initEvent(e,t,s),i}function a(e,s){if(void 0===e&&void 0===s)for(var i=0;i<r.length;i++)a(r[i].className,r[i].cssClass);else{var n=e;if(void 0===s){var o=t(n);o&&(s=o.cssClass)}for(var _=document.querySelectorAll("."+s),d=0;d<_.length;d++)l(_[d],n)}}function l(a,l){if(!("object"==e(a)&&a instanceof Element))throw new Error("Invalid argument provided to upgrade MDL element.");var o=n("mdl-componentupgrading",!0,!0);if(a.dispatchEvent(o),!o.defaultPrevented){var h=s(a),c=[];if(l)i(a,l)||c.push(t(l));else{var p=a.classList;r.forEach(function(e){p.contains(e.cssClass)&&-1===c.indexOf(e)&&!i(a,e.className)&&c.push(e)})}for(var C,u=0,E=c.length;u<E;u++){if(!(C=c[u]))throw new Error("Unable to find a registered component for the given class.");h.push(C.className),a.setAttribute("data-upgraded",h.join(","));var m=new C.classConstructor(a);m[d]=C,_.push(m);for(var L=0,I=C.callbacks.length;L<I;L++)C.callbacks[L](a);C.widget&&(a[C.className]=m);var f=n("mdl-componentupgraded",!0,!1);a.dispatchEvent(f)}}}function o(e){if(e){var t=_.indexOf(e);_.splice(t,1);var s=e.element_.getAttribute("data-upgraded").split(","),i=s.indexOf(e[d].classAsString);s.splice(i,1),e.element_.setAttribute("data-upgraded",s.join(","));var a=n("mdl-componentdowngraded",!0,!1);e.element_.dispatchEvent(a)}}var r=[],_=[],d="mdlComponentConfigInternal_";return{upgradeDom:a,upgradeElement:l,upgradeElements:function e(t){Array.isArray(t)||(t=t instanceof Element?[t]:Array.prototype.slice.call(t));for(var s,i=0,n=t.length;i<n;i++)(s=t[i])instanceof HTMLElement&&(l(s),s.children.length>0&&e(s.children))},upgradeAllRegistered:function(){for(var e=0;e<r.length;e++)a(r[e].className)},registerUpgradedCallback:function(e,s){var i=t(e);i&&i.callbacks.push(s)},register:function(e){var s=!0;void 0===e.widget&&void 0===e.widget||(s=e.widget||e.widget);var i={classConstructor:e.constructor||e.constructor,className:e.classAsString||e.classAsString,cssClass:e.cssClass||e.cssClass,widget:s,callbacks:[]};if(r.forEach(function(e){if(e.cssClass===i.cssClass)throw new Error("The provided cssClass has already been registered: "+e.cssClass);if(e.className===i.className)throw new Error("The provided className has already been registered")}),e.constructor.prototype.hasOwnProperty(d))throw new Error("MDL component classes must not have "+d+" defined as a property.");t(e.classAsString,i)||r.push(i)},downgradeElements:function(e){var t=function(e){_.filter(function(t){return t.element_===e}).forEach(o)};if(e instanceof Array||e instanceof NodeList)for(var s=0;s<e.length;s++)t(e[s]);else{if(!(e instanceof Node))throw new Error("Invalid argument provided to downgrade MDL nodes.");t(e)}}}}()).ComponentConfigPublic,i.ComponentConfig,i.Component,i.upgradeDom=i.upgradeDom,i.upgradeElement=i.upgradeElement,i.upgradeElements=i.upgradeElements,i.upgradeAllRegistered=i.upgradeAllRegistered,i.registerUpgradedCallback=i.registerUpgradedCallback,i.register=i.register,i.downgradeElements=i.downgradeElements,window.componentHandler=i,window.componentHandler=i,window.addEventListener("load",function(){"classList"in document.createElement("div")&&"querySelector"in document&&"addEventListener"in window&&Array.prototype.forEach?(document.documentElement.classList.add("mdl-js"),i.upgradeAllRegistered()):(i.upgradeElement=function(){},i.register=function(){})}),Date.now||(Date.now=function(){return(new Date).getTime()},Date.now=Date.now);for(var n=["webkit","moz"],a=0;a<n.length&&!window.requestAnimationFrame;++a){var l=n[a];window.requestAnimationFrame=window[l+"RequestAnimationFrame"],window.cancelAnimationFrame=window[l+"CancelAnimationFrame"]||window[l+"CancelRequestAnimationFrame"],window.requestAnimationFrame=window.requestAnimationFrame,window.cancelAnimationFrame=window.cancelAnimationFrame}if(/iP(ad|hone|od).*OS 6/.test(window.navigator.userAgent)||!window.requestAnimationFrame||!window.cancelAnimationFrame){var o=0;window.requestAnimationFrame=function(e){var t=Date.now(),s=Math.max(o+16,t);return setTimeout(function(){e(o=s)},s-t)},window.cancelAnimationFrame=clearTimeout,window.requestAnimationFrame=window.requestAnimationFrame,window.cancelAnimationFrame=window.cancelAnimationFrame}var r=function(e){this.element_=e,this.init()};window.MaterialButton=r,r.prototype.Constant_={},r.prototype.CssClasses_={RIPPLE_EFFECT:"mdl-js-ripple-effect",RIPPLE_CONTAINER:"mdl-button__ripple-container",RIPPLE:"mdl-ripple"},r.prototype.blurHandler_=function(e){e&&this.element_.blur()},r.prototype.disable=function(){this.element_.disabled=!0},r.prototype.disable=r.prototype.disable,r.prototype.enable=function(){this.element_.disabled=!1},r.prototype.enable=r.prototype.enable,r.prototype.init=function(){if(this.element_){if(this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT)){var e=document.createElement("span");e.classList.add(this.CssClasses_.RIPPLE_CONTAINER),this.rippleElement_=document.createElement("span"),this.rippleElement_.classList.add(this.CssClasses_.RIPPLE),e.appendChild(this.rippleElement_),this.boundRippleBlurHandler=this.blurHandler_.bind(this),this.rippleElement_.addEventListener("mouseup",this.boundRippleBlurHandler),this.element_.appendChild(e)}this.boundButtonBlurHandler=this.blurHandler_.bind(this),this.element_.addEventListener("mouseup",this.boundButtonBlurHandler),this.element_.addEventListener("mouseleave",this.boundButtonBlurHandler)}},i.register({constructor:r,classAsString:"MaterialButton",cssClass:"mdl-js-button",widget:!0});var _=function(e){this.element_=e,this.init()};window.MaterialCheckbox=_,_.prototype.Constant_={TINY_TIMEOUT:.001},_.prototype.CssClasses_={INPUT:"mdl-checkbox__input",BOX_OUTLINE:"mdl-checkbox__box-outline",FOCUS_HELPER:"mdl-checkbox__focus-helper",TICK_OUTLINE:"mdl-checkbox__tick-outline",RIPPLE_EFFECT:"mdl-js-ripple-effect",RIPPLE_IGNORE_EVENTS:"mdl-js-ripple-effect--ignore-events",RIPPLE_CONTAINER:"mdl-checkbox__ripple-container",RIPPLE_CENTER:"mdl-ripple--center",RIPPLE:"mdl-ripple",IS_FOCUSED:"is-focused",IS_DISABLED:"is-disabled",IS_CHECKED:"is-checked",IS_UPGRADED:"is-upgraded"},_.prototype.onChange_=function(e){this.updateClasses_()},_.prototype.onFocus_=function(e){this.element_.classList.add(this.CssClasses_.IS_FOCUSED)},_.prototype.onBlur_=function(e){this.element_.classList.remove(this.CssClasses_.IS_FOCUSED)},_.prototype.onMouseUp_=function(e){this.blur_()},_.prototype.updateClasses_=function(){this.checkDisabled(),this.checkToggleState()},_.prototype.blur_=function(){window.setTimeout(function(){this.inputElement_.blur()}.bind(this),this.Constant_.TINY_TIMEOUT)},_.prototype.checkToggleState=function(){this.inputElement_.checked?this.element_.classList.add(this.CssClasses_.IS_CHECKED):this.element_.classList.remove(this.CssClasses_.IS_CHECKED)},_.prototype.checkToggleState=_.prototype.checkToggleState,_.prototype.checkDisabled=function(){this.inputElement_.disabled?this.element_.classList.add(this.CssClasses_.IS_DISABLED):this.element_.classList.remove(this.CssClasses_.IS_DISABLED)},_.prototype.checkDisabled=_.prototype.checkDisabled,_.prototype.disable=function(){this.inputElement_.disabled=!0,this.updateClasses_()},_.prototype.disable=_.prototype.disable,_.prototype.enable=function(){this.inputElement_.disabled=!1,this.updateClasses_()},_.prototype.enable=_.prototype.enable,_.prototype.check=function(){this.inputElement_.checked=!0,this.updateClasses_()},_.prototype.check=_.prototype.check,_.prototype.uncheck=function(){this.inputElement_.checked=!1,this.updateClasses_()},_.prototype.uncheck=_.prototype.uncheck,_.prototype.init=function(){if(this.element_){this.inputElement_=this.element_.querySelector("."+this.CssClasses_.INPUT);var e=document.createElement("span");e.classList.add(this.CssClasses_.BOX_OUTLINE);var t=document.createElement("span");t.classList.add(this.CssClasses_.FOCUS_HELPER);var s=document.createElement("span");if(s.classList.add(this.CssClasses_.TICK_OUTLINE),e.appendChild(s),this.element_.appendChild(t),this.element_.appendChild(e),this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT)){this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS),this.rippleContainerElement_=document.createElement("span"),this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CONTAINER),this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_EFFECT),this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CENTER),this.boundRippleMouseUp=this.onMouseUp_.bind(this),this.rippleContainerElement_.addEventListener("mouseup",this.boundRippleMouseUp);var i=document.createElement("span");i.classList.add(this.CssClasses_.RIPPLE),this.rippleContainerElement_.appendChild(i),this.element_.appendChild(this.rippleContainerElement_)}this.boundInputOnChange=this.onChange_.bind(this),this.boundInputOnFocus=this.onFocus_.bind(this),this.boundInputOnBlur=this.onBlur_.bind(this),this.boundElementMouseUp=this.onMouseUp_.bind(this),this.inputElement_.addEventListener("change",this.boundInputOnChange),this.inputElement_.addEventListener("focus",this.boundInputOnFocus),this.inputElement_.addEventListener("blur",this.boundInputOnBlur),this.element_.addEventListener("mouseup",this.boundElementMouseUp),this.updateClasses_(),this.element_.classList.add(this.CssClasses_.IS_UPGRADED)}},i.register({constructor:_,classAsString:"MaterialCheckbox",cssClass:"mdl-js-checkbox",widget:!0});var d=function(e){this.element_=e,this.init()};window.MaterialIconToggle=d,d.prototype.Constant_={TINY_TIMEOUT:.001},d.prototype.CssClasses_={INPUT:"mdl-icon-toggle__input",JS_RIPPLE_EFFECT:"mdl-js-ripple-effect",RIPPLE_IGNORE_EVENTS:"mdl-js-ripple-effect--ignore-events",RIPPLE_CONTAINER:"mdl-icon-toggle__ripple-container",RIPPLE_CENTER:"mdl-ripple--center",RIPPLE:"mdl-ripple",IS_FOCUSED:"is-focused",IS_DISABLED:"is-disabled",IS_CHECKED:"is-checked"},d.prototype.onChange_=function(e){this.updateClasses_()},d.prototype.onFocus_=function(e){this.element_.classList.add(this.CssClasses_.IS_FOCUSED)},d.prototype.onBlur_=function(e){this.element_.classList.remove(this.CssClasses_.IS_FOCUSED)},d.prototype.onMouseUp_=function(e){this.blur_()},d.prototype.updateClasses_=function(){this.checkDisabled(),this.checkToggleState()},d.prototype.blur_=function(){window.setTimeout(function(){this.inputElement_.blur()}.bind(this),this.Constant_.TINY_TIMEOUT)},d.prototype.checkToggleState=function(){this.inputElement_.checked?this.element_.classList.add(this.CssClasses_.IS_CHECKED):this.element_.classList.remove(this.CssClasses_.IS_CHECKED)},d.prototype.checkToggleState=d.prototype.checkToggleState,d.prototype.checkDisabled=function(){this.inputElement_.disabled?this.element_.classList.add(this.CssClasses_.IS_DISABLED):this.element_.classList.remove(this.CssClasses_.IS_DISABLED)},d.prototype.checkDisabled=d.prototype.checkDisabled,d.prototype.disable=function(){this.inputElement_.disabled=!0,this.updateClasses_()},d.prototype.disable=d.prototype.disable,d.prototype.enable=function(){this.inputElement_.disabled=!1,this.updateClasses_()},d.prototype.enable=d.prototype.enable,d.prototype.check=function(){this.inputElement_.checked=!0,this.updateClasses_()},d.prototype.check=d.prototype.check,d.prototype.uncheck=function(){this.inputElement_.checked=!1,this.updateClasses_()},d.prototype.uncheck=d.prototype.uncheck,d.prototype.init=function(){if(this.element_){if(this.inputElement_=this.element_.querySelector("."+this.CssClasses_.INPUT),this.element_.classList.contains(this.CssClasses_.JS_RIPPLE_EFFECT)){this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS),this.rippleContainerElement_=document.createElement("span"),this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CONTAINER),this.rippleContainerElement_.classList.add(this.CssClasses_.JS_RIPPLE_EFFECT),this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CENTER),this.boundRippleMouseUp=this.onMouseUp_.bind(this),this.rippleContainerElement_.addEventListener("mouseup",this.boundRippleMouseUp);var e=document.createElement("span");e.classList.add(this.CssClasses_.RIPPLE),this.rippleContainerElement_.appendChild(e),this.element_.appendChild(this.rippleContainerElement_)}this.boundInputOnChange=this.onChange_.bind(this),this.boundInputOnFocus=this.onFocus_.bind(this),this.boundInputOnBlur=this.onBlur_.bind(this),this.boundElementOnMouseUp=this.onMouseUp_.bind(this),this.inputElement_.addEventListener("change",this.boundInputOnChange),this.inputElement_.addEventListener("focus",this.boundInputOnFocus),this.inputElement_.addEventListener("blur",this.boundInputOnBlur),this.element_.addEventListener("mouseup",this.boundElementOnMouseUp),this.updateClasses_(),this.element_.classList.add("is-upgraded")}},i.register({constructor:d,classAsString:"MaterialIconToggle",cssClass:"mdl-js-icon-toggle",widget:!0});var h=function(e){this.element_=e,this.init()};window.MaterialMenu=h,h.prototype.Constant_={TRANSITION_DURATION_SECONDS:.3,TRANSITION_DURATION_FRACTION:.8,CLOSE_TIMEOUT:150},h.prototype.Keycodes_={ENTER:13,ESCAPE:27,SPACE:32,UP_ARROW:38,DOWN_ARROW:40},h.prototype.CssClasses_={CONTAINER:"mdl-menu__container",OUTLINE:"mdl-menu__outline",ITEM:"mdl-menu__item",ITEM_RIPPLE_CONTAINER:"mdl-menu__item-ripple-container",RIPPLE_EFFECT:"mdl-js-ripple-effect",RIPPLE_IGNORE_EVENTS:"mdl-js-ripple-effect--ignore-events",RIPPLE:"mdl-ripple",IS_UPGRADED:"is-upgraded",IS_VISIBLE:"is-visible",IS_ANIMATING:"is-animating",BOTTOM_LEFT:"mdl-menu--bottom-left",BOTTOM_RIGHT:"mdl-menu--bottom-right",TOP_LEFT:"mdl-menu--top-left",TOP_RIGHT:"mdl-menu--top-right",UNALIGNED:"mdl-menu--unaligned"},h.prototype.init=function(){if(this.element_){var e=document.createElement("div");e.classList.add(this.CssClasses_.CONTAINER),this.element_.parentElement.insertBefore(e,this.element_),this.element_.parentElement.removeChild(this.element_),e.appendChild(this.element_),this.container_=e;var t=document.createElement("div");t.classList.add(this.CssClasses_.OUTLINE),this.outline_=t,e.insertBefore(t,this.element_);var s=this.element_.getAttribute("for")||this.element_.getAttribute("data-mdl-for"),i=null;s&&((i=document.getElementById(s))&&(this.forElement_=i,i.addEventListener("click",this.handleForClick_.bind(this)),i.addEventListener("keydown",this.handleForKeyboardEvent_.bind(this))));var n=this.element_.querySelectorAll("."+this.CssClasses_.ITEM);this.boundItemKeydown_=this.handleItemKeyboardEvent_.bind(this),this.boundItemClick_=this.handleItemClick_.bind(this);for(var a=0;a<n.length;a++)n[a].addEventListener("click",this.boundItemClick_),n[a].tabIndex="-1",n[a].addEventListener("keydown",this.boundItemKeydown_);if(this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT))for(this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS),a=0;a<n.length;a++){var l=n[a],o=document.createElement("span");o.classList.add(this.CssClasses_.ITEM_RIPPLE_CONTAINER);var r=document.createElement("span");r.classList.add(this.CssClasses_.RIPPLE),o.appendChild(r),l.appendChild(o),l.classList.add(this.CssClasses_.RIPPLE_EFFECT)}this.element_.classList.contains(this.CssClasses_.BOTTOM_LEFT)&&this.outline_.classList.add(this.CssClasses_.BOTTOM_LEFT),this.element_.classList.contains(this.CssClasses_.BOTTOM_RIGHT)&&this.outline_.classList.add(this.CssClasses_.BOTTOM_RIGHT),this.element_.classList.contains(this.CssClasses_.TOP_LEFT)&&this.outline_.classList.add(this.CssClasses_.TOP_LEFT),this.element_.classList.contains(this.CssClasses_.TOP_RIGHT)&&this.outline_.classList.add(this.CssClasses_.TOP_RIGHT),this.element_.classList.contains(this.CssClasses_.UNALIGNED)&&this.outline_.classList.add(this.CssClasses_.UNALIGNED),e.classList.add(this.CssClasses_.IS_UPGRADED)}},h.prototype.handleForClick_=function(e){if(this.element_&&this.forElement_){var t=this.forElement_.getBoundingClientRect(),s=this.forElement_.parentElement.getBoundingClientRect();this.element_.classList.contains(this.CssClasses_.UNALIGNED)||(this.element_.classList.contains(this.CssClasses_.BOTTOM_RIGHT)?(this.container_.style.right=s.right-t.right+"px",this.container_.style.top=this.forElement_.offsetTop+this.forElement_.offsetHeight+"px"):this.element_.classList.contains(this.CssClasses_.TOP_LEFT)?(this.container_.style.left=this.forElement_.offsetLeft+"px",this.container_.style.bottom=s.bottom-t.top+"px"):this.element_.classList.contains(this.CssClasses_.TOP_RIGHT)?(this.container_.style.right=s.right-t.right+"px",this.container_.style.bottom=s.bottom-t.top+"px"):(this.container_.style.left=this.forElement_.offsetLeft+"px",this.container_.style.top=this.forElement_.offsetTop+this.forElement_.offsetHeight+"px"))}this.toggle(e)},h.prototype.handleForKeyboardEvent_=function(e){if(this.element_&&this.container_&&this.forElement_){var t=this.element_.querySelectorAll("."+this.CssClasses_.ITEM+":not([disabled])");t&&t.length>0&&this.container_.classList.contains(this.CssClasses_.IS_VISIBLE)&&(e.keyCode===this.Keycodes_.UP_ARROW?(e.preventDefault(),t[t.length-1].focus()):e.keyCode===this.Keycodes_.DOWN_ARROW&&(e.preventDefault(),t[0].focus()))}},h.prototype.handleItemKeyboardEvent_=function(e){if(this.element_&&this.container_){var t=this.element_.querySelectorAll("."+this.CssClasses_.ITEM+":not([disabled])");if(t&&t.length>0&&this.container_.classList.contains(this.CssClasses_.IS_VISIBLE)){var s=Array.prototype.slice.call(t).indexOf(e.target);if(e.keyCode===this.Keycodes_.UP_ARROW)e.preventDefault(),s>0?t[s-1].focus():t[t.length-1].focus();else if(e.keyCode===this.Keycodes_.DOWN_ARROW)e.preventDefault(),t.length>s+1?t[s+1].focus():t[0].focus();else if(e.keyCode===this.Keycodes_.SPACE||e.keyCode===this.Keycodes_.ENTER){e.preventDefault();var i=new MouseEvent("mousedown");e.target.dispatchEvent(i),i=new MouseEvent("mouseup"),e.target.dispatchEvent(i),e.target.click()}else e.keyCode===this.Keycodes_.ESCAPE&&(e.preventDefault(),this.hide())}}},h.prototype.handleItemClick_=function(e){e.target.hasAttribute("disabled")?e.stopPropagation():(this.closing_=!0,window.setTimeout(function(e){this.hide(),this.closing_=!1}.bind(this),this.Constant_.CLOSE_TIMEOUT))},h.prototype.applyClip_=function(e,t){this.element_.classList.contains(this.CssClasses_.UNALIGNED)?this.element_.style.clip="":this.element_.classList.contains(this.CssClasses_.BOTTOM_RIGHT)?this.element_.style.clip="rect(0 "+t+"px 0 "+t+"px)":this.element_.classList.contains(this.CssClasses_.TOP_LEFT)?this.element_.style.clip="rect("+e+"px 0 "+e+"px 0)":this.element_.classList.contains(this.CssClasses_.TOP_RIGHT)?this.element_.style.clip="rect("+e+"px "+t+"px "+e+"px "+t+"px)":this.element_.style.clip=""},h.prototype.removeAnimationEndListener_=function(e){e.target.classList.remove(h.prototype.CssClasses_.IS_ANIMATING)},h.prototype.addAnimationEndListener_=function(){this.element_.addEventListener("transitionend",this.removeAnimationEndListener_),this.element_.addEventListener("webkitTransitionEnd",this.removeAnimationEndListener_)},h.prototype.show=function(e){if(this.element_&&this.container_&&this.outline_){var t=this.element_.getBoundingClientRect().height,s=this.element_.getBoundingClientRect().width;this.container_.style.width=s+"px",this.container_.style.height=t+"px",this.outline_.style.width=s+"px",this.outline_.style.height=t+"px";for(var i=this.Constant_.TRANSITION_DURATION_SECONDS*this.Constant_.TRANSITION_DURATION_FRACTION,n=this.element_.querySelectorAll("."+this.CssClasses_.ITEM),a=0;a<n.length;a++){var l;l=this.element_.classList.contains(this.CssClasses_.TOP_LEFT)||this.element_.classList.contains(this.CssClasses_.TOP_RIGHT)?(t-n[a].offsetTop-n[a].offsetHeight)/t*i+"s":n[a].offsetTop/t*i+"s",n[a].style.transitionDelay=l}this.applyClip_(t,s),window.requestAnimationFrame(function(){this.element_.classList.add(this.CssClasses_.IS_ANIMATING),this.element_.style.clip="rect(0 "+s+"px "+t+"px 0)",this.container_.classList.add(this.CssClasses_.IS_VISIBLE)}.bind(this)),this.addAnimationEndListener_();var o=function(t){t===e||this.closing_||t.target.parentNode===this.element_||(document.removeEventListener("click",o),this.hide())}.bind(this);document.addEventListener("click",o)}},h.prototype.show=h.prototype.show,h.prototype.hide=function(){if(this.element_&&this.container_&&this.outline_){for(var e=this.element_.querySelectorAll("."+this.CssClasses_.ITEM),t=0;t<e.length;t++)e[t].style.removeProperty("transition-delay");var s=this.element_.getBoundingClientRect(),i=s.height,n=s.width;this.element_.classList.add(this.CssClasses_.IS_ANIMATING),this.applyClip_(i,n),this.container_.classList.remove(this.CssClasses_.IS_VISIBLE),this.addAnimationEndListener_()}},h.prototype.hide=h.prototype.hide,h.prototype.toggle=function(e){this.container_.classList.contains(this.CssClasses_.IS_VISIBLE)?this.hide():this.show(e)},h.prototype.toggle=h.prototype.toggle,i.register({constructor:h,classAsString:"MaterialMenu",cssClass:"mdl-js-menu",widget:!0});var c=function(e){this.element_=e,this.init()};window.MaterialProgress=c,c.prototype.Constant_={},c.prototype.CssClasses_={INDETERMINATE_CLASS:"mdl-progress__indeterminate"},c.prototype.setProgress=function(e){this.element_.classList.contains(this.CssClasses_.INDETERMINATE_CLASS)||(this.progressbar_.style.width=e+"%")},c.prototype.setProgress=c.prototype.setProgress,c.prototype.setBuffer=function(e){this.bufferbar_.style.width=e+"%",this.auxbar_.style.width=100-e+"%"},c.prototype.setBuffer=c.prototype.setBuffer,c.prototype.init=function(){if(this.element_){var e=document.createElement("div");e.className="progressbar bar bar1",this.element_.appendChild(e),this.progressbar_=e,(e=document.createElement("div")).className="bufferbar bar bar2",this.element_.appendChild(e),this.bufferbar_=e,(e=document.createElement("div")).className="auxbar bar bar3",this.element_.appendChild(e),this.auxbar_=e,this.progressbar_.style.width="0%",this.bufferbar_.style.width="100%",this.auxbar_.style.width="0%",this.element_.classList.add("is-upgraded")}},i.register({constructor:c,classAsString:"MaterialProgress",cssClass:"mdl-js-progress",widget:!0});var p=function(e){this.element_=e,this.init()};window.MaterialRadio=p,p.prototype.Constant_={TINY_TIMEOUT:.001},p.prototype.CssClasses_={IS_FOCUSED:"is-focused",IS_DISABLED:"is-disabled",IS_CHECKED:"is-checked",IS_UPGRADED:"is-upgraded",JS_RADIO:"mdl-js-radio",RADIO_BTN:"mdl-radio__button",RADIO_OUTER_CIRCLE:"mdl-radio__outer-circle",RADIO_INNER_CIRCLE:"mdl-radio__inner-circle",RIPPLE_EFFECT:"mdl-js-ripple-effect",RIPPLE_IGNORE_EVENTS:"mdl-js-ripple-effect--ignore-events",RIPPLE_CONTAINER:"mdl-radio__ripple-container",RIPPLE_CENTER:"mdl-ripple--center",RIPPLE:"mdl-ripple"},p.prototype.onChange_=function(e){for(var t=document.getElementsByClassName(this.CssClasses_.JS_RADIO),s=0;s<t.length;s++){t[s].querySelector("."+this.CssClasses_.RADIO_BTN).getAttribute("name")===this.btnElement_.getAttribute("name")&&void 0!==t[s].MaterialRadio&&t[s].MaterialRadio.updateClasses_()}},p.prototype.onFocus_=function(e){this.element_.classList.add(this.CssClasses_.IS_FOCUSED)},p.prototype.onBlur_=function(e){this.element_.classList.remove(this.CssClasses_.IS_FOCUSED)},p.prototype.onMouseup_=function(e){this.blur_()},p.prototype.updateClasses_=function(){this.checkDisabled(),this.checkToggleState()},p.prototype.blur_=function(){window.setTimeout(function(){this.btnElement_.blur()}.bind(this),this.Constant_.TINY_TIMEOUT)},p.prototype.checkDisabled=function(){this.btnElement_.disabled?this.element_.classList.add(this.CssClasses_.IS_DISABLED):this.element_.classList.remove(this.CssClasses_.IS_DISABLED)},p.prototype.checkDisabled=p.prototype.checkDisabled,p.prototype.checkToggleState=function(){this.btnElement_.checked?this.element_.classList.add(this.CssClasses_.IS_CHECKED):this.element_.classList.remove(this.CssClasses_.IS_CHECKED)},p.prototype.checkToggleState=p.prototype.checkToggleState,p.prototype.disable=function(){this.btnElement_.disabled=!0,this.updateClasses_()},p.prototype.disable=p.prototype.disable,p.prototype.enable=function(){this.btnElement_.disabled=!1,this.updateClasses_()},p.prototype.enable=p.prototype.enable,p.prototype.check=function(){this.btnElement_.checked=!0,this.onChange_(null)},p.prototype.check=p.prototype.check,p.prototype.uncheck=function(){this.btnElement_.checked=!1,this.onChange_(null)},p.prototype.uncheck=p.prototype.uncheck,p.prototype.init=function(){if(this.element_){this.btnElement_=this.element_.querySelector("."+this.CssClasses_.RADIO_BTN),this.boundChangeHandler_=this.onChange_.bind(this),this.boundFocusHandler_=this.onChange_.bind(this),this.boundBlurHandler_=this.onBlur_.bind(this),this.boundMouseUpHandler_=this.onMouseup_.bind(this);var e=document.createElement("span");e.classList.add(this.CssClasses_.RADIO_OUTER_CIRCLE);var t,s=document.createElement("span");if(s.classList.add(this.CssClasses_.RADIO_INNER_CIRCLE),this.element_.appendChild(e),this.element_.appendChild(s),this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT)){this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS),(t=document.createElement("span")).classList.add(this.CssClasses_.RIPPLE_CONTAINER),t.classList.add(this.CssClasses_.RIPPLE_EFFECT),t.classList.add(this.CssClasses_.RIPPLE_CENTER),t.addEventListener("mouseup",this.boundMouseUpHandler_);var i=document.createElement("span");i.classList.add(this.CssClasses_.RIPPLE),t.appendChild(i),this.element_.appendChild(t)}this.btnElement_.addEventListener("change",this.boundChangeHandler_),this.btnElement_.addEventListener("focus",this.boundFocusHandler_),this.btnElement_.addEventListener("blur",this.boundBlurHandler_),this.element_.addEventListener("mouseup",this.boundMouseUpHandler_),this.updateClasses_(),this.element_.classList.add(this.CssClasses_.IS_UPGRADED)}},i.register({constructor:p,classAsString:"MaterialRadio",cssClass:"mdl-js-radio",widget:!0});var C=function(e){this.element_=e,this.isIE_=window.navigator.msPointerEnabled,this.init()};window.MaterialSlider=C,C.prototype.Constant_={},C.prototype.CssClasses_={IE_CONTAINER:"mdl-slider__ie-container",SLIDER_CONTAINER:"mdl-slider__container",BACKGROUND_FLEX:"mdl-slider__background-flex",BACKGROUND_LOWER:"mdl-slider__background-lower",BACKGROUND_UPPER:"mdl-slider__background-upper",IS_LOWEST_VALUE:"is-lowest-value",IS_UPGRADED:"is-upgraded"},C.prototype.onInput_=function(e){this.updateValueStyles_()},C.prototype.onChange_=function(e){this.updateValueStyles_()},C.prototype.onMouseUp_=function(e){e.target.blur()},C.prototype.onContainerMouseDown_=function(e){if(e.target===this.element_.parentElement){e.preventDefault();var t=new MouseEvent("mousedown",{target:e.target,buttons:e.buttons,clientX:e.clientX,clientY:this.element_.getBoundingClientRect().y});this.element_.dispatchEvent(t)}},C.prototype.updateValueStyles_=function(){var e=(this.element_.value-this.element_.min)/(this.element_.max-this.element_.min);0===e?this.element_.classList.add(this.CssClasses_.IS_LOWEST_VALUE):this.element_.classList.remove(this.CssClasses_.IS_LOWEST_VALUE),this.isIE_||(this.backgroundLower_.style.flex=e,this.backgroundLower_.style.webkitFlex=e,this.backgroundUpper_.style.flex=1-e,this.backgroundUpper_.style.webkitFlex=1-e)},C.prototype.disable=function(){this.element_.disabled=!0},C.prototype.disable=C.prototype.disable,C.prototype.enable=function(){this.element_.disabled=!1},C.prototype.enable=C.prototype.enable,C.prototype.change=function(e){void 0!==e&&(this.element_.value=e),this.updateValueStyles_()},C.prototype.change=C.prototype.change,C.prototype.init=function(){if(this.element_){if(this.isIE_){var e=document.createElement("div");e.classList.add(this.CssClasses_.IE_CONTAINER),this.element_.parentElement.insertBefore(e,this.element_),this.element_.parentElement.removeChild(this.element_),e.appendChild(this.element_)}else{var t=document.createElement("div");t.classList.add(this.CssClasses_.SLIDER_CONTAINER),this.element_.parentElement.insertBefore(t,this.element_),this.element_.parentElement.removeChild(this.element_),t.appendChild(this.element_);var s=document.createElement("div");s.classList.add(this.CssClasses_.BACKGROUND_FLEX),t.appendChild(s),this.backgroundLower_=document.createElement("div"),this.backgroundLower_.classList.add(this.CssClasses_.BACKGROUND_LOWER),s.appendChild(this.backgroundLower_),this.backgroundUpper_=document.createElement("div"),this.backgroundUpper_.classList.add(this.CssClasses_.BACKGROUND_UPPER),s.appendChild(this.backgroundUpper_)}this.boundInputHandler=this.onInput_.bind(this),this.boundChangeHandler=this.onChange_.bind(this),this.boundMouseUpHandler=this.onMouseUp_.bind(this),this.boundContainerMouseDownHandler=this.onContainerMouseDown_.bind(this),this.element_.addEventListener("input",this.boundInputHandler),this.element_.addEventListener("change",this.boundChangeHandler),this.element_.addEventListener("mouseup",this.boundMouseUpHandler),this.element_.parentElement.addEventListener("mousedown",this.boundContainerMouseDownHandler),this.updateValueStyles_(),this.element_.classList.add(this.CssClasses_.IS_UPGRADED)}},i.register({constructor:C,classAsString:"MaterialSlider",cssClass:"mdl-js-slider",widget:!0});var u=function(e){if(this.element_=e,this.textElement_=this.element_.querySelector("."+this.cssClasses_.MESSAGE),this.actionElement_=this.element_.querySelector("."+this.cssClasses_.ACTION),!this.textElement_)throw new Error("There must be a message element for a snackbar.");if(!this.actionElement_)throw new Error("There must be an action element for a snackbar.");this.active=!1,this.actionHandler_=void 0,this.message_=void 0,this.actionText_=void 0,this.queuedNotifications_=[],this.setActionHidden_(!0)};window.MaterialSnackbar=u,u.prototype.Constant_={ANIMATION_LENGTH:250},u.prototype.cssClasses_={SNACKBAR:"mdl-snackbar",MESSAGE:"mdl-snackbar__text",ACTION:"mdl-snackbar__action",ACTIVE:"mdl-snackbar--active"},u.prototype.displaySnackbar_=function(){this.element_.setAttribute("aria-hidden","true"),this.actionHandler_&&(this.actionElement_.textContent=this.actionText_,this.actionElement_.addEventListener("click",this.actionHandler_),this.setActionHidden_(!1)),this.textElement_.textContent=this.message_,this.element_.classList.add(this.cssClasses_.ACTIVE),this.element_.setAttribute("aria-hidden","false"),setTimeout(this.cleanup_.bind(this),this.timeout_)},u.prototype.showSnackbar=function(e){if(void 0===e)throw new Error("Please provide a data object with at least a message to display.");if(void 0===e.message)throw new Error("Please provide a message to be displayed.");if(e.actionHandler&&!e.actionText)throw new Error("Please provide action text with the handler.");this.active?this.queuedNotifications_.push(e):(this.active=!0,this.message_=e.message,e.timeout?this.timeout_=e.timeout:this.timeout_=2750,e.actionHandler&&(this.actionHandler_=e.actionHandler),e.actionText&&(this.actionText_=e.actionText),this.displaySnackbar_())},u.prototype.showSnackbar=u.prototype.showSnackbar,u.prototype.checkQueue_=function(){this.queuedNotifications_.length>0&&this.showSnackbar(this.queuedNotifications_.shift())},u.prototype.cleanup_=function(){this.element_.classList.remove(this.cssClasses_.ACTIVE),setTimeout(function(){this.element_.setAttribute("aria-hidden","true"),this.textElement_.textContent="",Boolean(this.actionElement_.getAttribute("aria-hidden"))||(this.setActionHidden_(!0),this.actionElement_.textContent="",this.actionElement_.removeEventListener("click",this.actionHandler_)),this.actionHandler_=void 0,this.message_=void 0,this.actionText_=void 0,this.active=!1,this.checkQueue_()}.bind(this),this.Constant_.ANIMATION_LENGTH)},u.prototype.setActionHidden_=function(e){e?this.actionElement_.setAttribute("aria-hidden","true"):this.actionElement_.removeAttribute("aria-hidden")},i.register({constructor:u,classAsString:"MaterialSnackbar",cssClass:"mdl-js-snackbar",widget:!0});var E=function(e){this.element_=e,this.init()};window.MaterialSpinner=E,E.prototype.Constant_={MDL_SPINNER_LAYER_COUNT:4},E.prototype.CssClasses_={MDL_SPINNER_LAYER:"mdl-spinner__layer",MDL_SPINNER_CIRCLE_CLIPPER:"mdl-spinner__circle-clipper",MDL_SPINNER_CIRCLE:"mdl-spinner__circle",MDL_SPINNER_GAP_PATCH:"mdl-spinner__gap-patch",MDL_SPINNER_LEFT:"mdl-spinner__left",MDL_SPINNER_RIGHT:"mdl-spinner__right"},E.prototype.createLayer=function(e){var t=document.createElement("div");t.classList.add(this.CssClasses_.MDL_SPINNER_LAYER),t.classList.add(this.CssClasses_.MDL_SPINNER_LAYER+"-"+e);var s=document.createElement("div");s.classList.add(this.CssClasses_.MDL_SPINNER_CIRCLE_CLIPPER),s.classList.add(this.CssClasses_.MDL_SPINNER_LEFT);var i=document.createElement("div");i.classList.add(this.CssClasses_.MDL_SPINNER_GAP_PATCH);var n=document.createElement("div");n.classList.add(this.CssClasses_.MDL_SPINNER_CIRCLE_CLIPPER),n.classList.add(this.CssClasses_.MDL_SPINNER_RIGHT);for(var a=[s,i,n],l=0;l<a.length;l++){var o=document.createElement("div");o.classList.add(this.CssClasses_.MDL_SPINNER_CIRCLE),a[l].appendChild(o)}t.appendChild(s),t.appendChild(i),t.appendChild(n),this.element_.appendChild(t)},E.prototype.createLayer=E.prototype.createLayer,E.prototype.stop=function(){this.element_.classList.remove("is-active")},E.prototype.stop=E.prototype.stop,E.prototype.start=function(){this.element_.classList.add("is-active")},E.prototype.start=E.prototype.start,E.prototype.init=function(){if(this.element_){for(var e=1;e<=this.Constant_.MDL_SPINNER_LAYER_COUNT;e++)this.createLayer(e);this.element_.classList.add("is-upgraded")}},i.register({constructor:E,classAsString:"MaterialSpinner",cssClass:"mdl-js-spinner",widget:!0});var m=function(e){this.element_=e,this.init()};window.MaterialSwitch=m,m.prototype.Constant_={TINY_TIMEOUT:.001},m.prototype.CssClasses_={INPUT:"mdl-switch__input",TRACK:"mdl-switch__track",THUMB:"mdl-switch__thumb",FOCUS_HELPER:"mdl-switch__focus-helper",RIPPLE_EFFECT:"mdl-js-ripple-effect",RIPPLE_IGNORE_EVENTS:"mdl-js-ripple-effect--ignore-events",RIPPLE_CONTAINER:"mdl-switch__ripple-container",RIPPLE_CENTER:"mdl-ripple--center",RIPPLE:"mdl-ripple",IS_FOCUSED:"is-focused",IS_DISABLED:"is-disabled",IS_CHECKED:"is-checked"},m.prototype.onChange_=function(e){this.updateClasses_()},m.prototype.onFocus_=function(e){this.element_.classList.add(this.CssClasses_.IS_FOCUSED)},m.prototype.onBlur_=function(e){this.element_.classList.remove(this.CssClasses_.IS_FOCUSED)},m.prototype.onMouseUp_=function(e){this.blur_()},m.prototype.updateClasses_=function(){this.checkDisabled(),this.checkToggleState()},m.prototype.blur_=function(){window.setTimeout(function(){this.inputElement_.blur()}.bind(this),this.Constant_.TINY_TIMEOUT)},m.prototype.checkDisabled=function(){this.inputElement_.disabled?this.element_.classList.add(this.CssClasses_.IS_DISABLED):this.element_.classList.remove(this.CssClasses_.IS_DISABLED)},m.prototype.checkDisabled=m.prototype.checkDisabled,m.prototype.checkToggleState=function(){this.inputElement_.checked?this.element_.classList.add(this.CssClasses_.IS_CHECKED):this.element_.classList.remove(this.CssClasses_.IS_CHECKED)},m.prototype.checkToggleState=m.prototype.checkToggleState,m.prototype.disable=function(){this.inputElement_.disabled=!0,this.updateClasses_()},m.prototype.disable=m.prototype.disable,m.prototype.enable=function(){this.inputElement_.disabled=!1,this.updateClasses_()},m.prototype.enable=m.prototype.enable,m.prototype.on=function(){this.inputElement_.checked=!0,this.updateClasses_()},m.prototype.on=m.prototype.on,m.prototype.off=function(){this.inputElement_.checked=!1,this.updateClasses_()},m.prototype.off=m.prototype.off,m.prototype.init=function(){if(this.element_){this.inputElement_=this.element_.querySelector("."+this.CssClasses_.INPUT);var e=document.createElement("div");e.classList.add(this.CssClasses_.TRACK);var t=document.createElement("div");t.classList.add(this.CssClasses_.THUMB);var s=document.createElement("span");if(s.classList.add(this.CssClasses_.FOCUS_HELPER),t.appendChild(s),this.element_.appendChild(e),this.element_.appendChild(t),this.boundMouseUpHandler=this.onMouseUp_.bind(this),this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT)){this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS),this.rippleContainerElement_=document.createElement("span"),this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CONTAINER),this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_EFFECT),this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CENTER),this.rippleContainerElement_.addEventListener("mouseup",this.boundMouseUpHandler);var i=document.createElement("span");i.classList.add(this.CssClasses_.RIPPLE),this.rippleContainerElement_.appendChild(i),this.element_.appendChild(this.rippleContainerElement_)}this.boundChangeHandler=this.onChange_.bind(this),this.boundFocusHandler=this.onFocus_.bind(this),this.boundBlurHandler=this.onBlur_.bind(this),this.inputElement_.addEventListener("change",this.boundChangeHandler),this.inputElement_.addEventListener("focus",this.boundFocusHandler),this.inputElement_.addEventListener("blur",this.boundBlurHandler),this.element_.addEventListener("mouseup",this.boundMouseUpHandler),this.updateClasses_(),this.element_.classList.add("is-upgraded")}},i.register({constructor:m,classAsString:"MaterialSwitch",cssClass:"mdl-js-switch",widget:!0});var L=function(e){this.element_=e,this.init()};window.MaterialTabs=L,L.prototype.Constant_={},L.prototype.CssClasses_={TAB_CLASS:"mdl-tabs__tab",PANEL_CLASS:"mdl-tabs__panel",ACTIVE_CLASS:"is-active",UPGRADED_CLASS:"is-upgraded",MDL_JS_RIPPLE_EFFECT:"mdl-js-ripple-effect",MDL_RIPPLE_CONTAINER:"mdl-tabs__ripple-container",MDL_RIPPLE:"mdl-ripple",MDL_JS_RIPPLE_EFFECT_IGNORE_EVENTS:"mdl-js-ripple-effect--ignore-events"},L.prototype.initTabs_=function(){this.element_.classList.contains(this.CssClasses_.MDL_JS_RIPPLE_EFFECT)&&this.element_.classList.add(this.CssClasses_.MDL_JS_RIPPLE_EFFECT_IGNORE_EVENTS),this.tabs_=this.element_.querySelectorAll("."+this.CssClasses_.TAB_CLASS),this.panels_=this.element_.querySelectorAll("."+this.CssClasses_.PANEL_CLASS);for(var e=0;e<this.tabs_.length;e++)new t(this.tabs_[e],this);this.element_.classList.add(this.CssClasses_.UPGRADED_CLASS)},L.prototype.resetTabState_=function(){for(var e=0;e<this.tabs_.length;e++)this.tabs_[e].classList.remove(this.CssClasses_.ACTIVE_CLASS)},L.prototype.resetPanelState_=function(){for(var e=0;e<this.panels_.length;e++)this.panels_[e].classList.remove(this.CssClasses_.ACTIVE_CLASS)},L.prototype.init=function(){this.element_&&this.initTabs_()},i.register({constructor:L,classAsString:"MaterialTabs",cssClass:"mdl-js-tabs"});var I=function(e){this.element_=e,this.maxRows=this.Constant_.NO_MAX_ROWS,this.init()};window.MaterialTextfield=I,I.prototype.Constant_={NO_MAX_ROWS:-1,MAX_ROWS_ATTRIBUTE:"maxrows"},I.prototype.CssClasses_={LABEL:"mdl-textfield__label",INPUT:"mdl-textfield__input",IS_DIRTY:"is-dirty",IS_FOCUSED:"is-focused",IS_DISABLED:"is-disabled",IS_INVALID:"is-invalid",IS_UPGRADED:"is-upgraded",HAS_PLACEHOLDER:"has-placeholder"},I.prototype.onKeyDown_=function(e){var t=e.target.value.split("\n").length;13===e.keyCode&&t>=this.maxRows&&e.preventDefault()},I.prototype.onFocus_=function(e){this.element_.classList.add(this.CssClasses_.IS_FOCUSED)},I.prototype.onBlur_=function(e){this.element_.classList.remove(this.CssClasses_.IS_FOCUSED)},I.prototype.onReset_=function(e){this.updateClasses_()},I.prototype.updateClasses_=function(){this.checkDisabled(),this.checkValidity(),this.checkDirty(),this.checkFocus()},I.prototype.checkDisabled=function(){this.input_.disabled?this.element_.classList.add(this.CssClasses_.IS_DISABLED):this.element_.classList.remove(this.CssClasses_.IS_DISABLED)},I.prototype.checkDisabled=I.prototype.checkDisabled,I.prototype.checkFocus=function(){Boolean(this.element_.querySelector(":focus"))?this.element_.classList.add(this.CssClasses_.IS_FOCUSED):this.element_.classList.remove(this.CssClasses_.IS_FOCUSED)},I.prototype.checkFocus=I.prototype.checkFocus,I.prototype.checkValidity=function(){this.input_.validity&&(this.input_.validity.valid?this.element_.classList.remove(this.CssClasses_.IS_INVALID):this.element_.classList.add(this.CssClasses_.IS_INVALID))},I.prototype.checkValidity=I.prototype.checkValidity,I.prototype.checkDirty=function(){this.input_.value&&this.input_.value.length>0?this.element_.classList.add(this.CssClasses_.IS_DIRTY):this.element_.classList.remove(this.CssClasses_.IS_DIRTY)},I.prototype.checkDirty=I.prototype.checkDirty,I.prototype.disable=function(){this.input_.disabled=!0,this.updateClasses_()},I.prototype.disable=I.prototype.disable,I.prototype.enable=function(){this.input_.disabled=!1,this.updateClasses_()},I.prototype.enable=I.prototype.enable,I.prototype.change=function(e){this.input_.value=e||"",this.updateClasses_()},I.prototype.change=I.prototype.change,I.prototype.init=function(){if(this.element_&&(this.label_=this.element_.querySelector("."+this.CssClasses_.LABEL),this.input_=this.element_.querySelector("."+this.CssClasses_.INPUT),this.input_)){this.input_.hasAttribute(this.Constant_.MAX_ROWS_ATTRIBUTE)&&(this.maxRows=parseInt(this.input_.getAttribute(this.Constant_.MAX_ROWS_ATTRIBUTE),10),isNaN(this.maxRows)&&(this.maxRows=this.Constant_.NO_MAX_ROWS)),this.input_.hasAttribute("placeholder")&&this.element_.classList.add(this.CssClasses_.HAS_PLACEHOLDER),this.boundUpdateClassesHandler=this.updateClasses_.bind(this),this.boundFocusHandler=this.onFocus_.bind(this),this.boundBlurHandler=this.onBlur_.bind(this),this.boundResetHandler=this.onReset_.bind(this),this.input_.addEventListener("input",this.boundUpdateClassesHandler),this.input_.addEventListener("focus",this.boundFocusHandler),this.input_.addEventListener("blur",this.boundBlurHandler),this.input_.addEventListener("reset",this.boundResetHandler),this.maxRows!==this.Constant_.NO_MAX_ROWS&&(this.boundKeyDownHandler=this.onKeyDown_.bind(this),this.input_.addEventListener("keydown",this.boundKeyDownHandler));var e=this.element_.classList.contains(this.CssClasses_.IS_INVALID);this.updateClasses_(),this.element_.classList.add(this.CssClasses_.IS_UPGRADED),e&&this.element_.classList.add(this.CssClasses_.IS_INVALID),this.input_.hasAttribute("autofocus")&&(this.element_.focus(),this.checkFocus())}},i.register({constructor:I,classAsString:"MaterialTextfield",cssClass:"mdl-js-textfield",widget:!0});var f=function(e){this.element_=e,this.init()};window.MaterialTooltip=f,f.prototype.Constant_={},f.prototype.CssClasses_={IS_ACTIVE:"is-active",BOTTOM:"mdl-tooltip--bottom",LEFT:"mdl-tooltip--left",RIGHT:"mdl-tooltip--right",TOP:"mdl-tooltip--top"},f.prototype.handleMouseEnter_=function(e){var t=e.target.getBoundingClientRect(),s=t.left+t.width/2,i=t.top+t.height/2,n=this.element_.offsetWidth/2*-1,a=this.element_.offsetHeight/2*-1;this.element_.classList.contains(this.CssClasses_.LEFT)||this.element_.classList.contains(this.CssClasses_.RIGHT)?(s=t.width/2,i+a<0?(this.element_.style.top="0",this.element_.style.marginTop="0"):(this.element_.style.top=i+"px",this.element_.style.marginTop=a+"px")):s+n<0?(this.element_.style.left="0",this.element_.style.marginLeft="0"):(this.element_.style.left=s+"px",this.element_.style.marginLeft=n+"px"),this.element_.classList.contains(this.CssClasses_.TOP)?this.element_.style.top=t.top-this.element_.offsetHeight-10+"px":this.element_.classList.contains(this.CssClasses_.RIGHT)?this.element_.style.left=t.left+t.width+10+"px":this.element_.classList.contains(this.CssClasses_.LEFT)?this.element_.style.left=t.left-this.element_.offsetWidth-10+"px":this.element_.style.top=t.top+t.height+10+"px",this.element_.classList.add(this.CssClasses_.IS_ACTIVE)},f.prototype.hideTooltip_=function(){this.element_.classList.remove(this.CssClasses_.IS_ACTIVE)},f.prototype.init=function(){if(this.element_){var e=this.element_.getAttribute("for")||this.element_.getAttribute("data-mdl-for");e&&(this.forElement_=document.getElementById(e)),this.forElement_&&(this.forElement_.hasAttribute("tabindex")||this.forElement_.setAttribute("tabindex","0"),this.boundMouseEnterHandler=this.handleMouseEnter_.bind(this),this.boundMouseLeaveAndScrollHandler=this.hideTooltip_.bind(this),this.forElement_.addEventListener("mouseenter",this.boundMouseEnterHandler,!1),this.forElement_.addEventListener("touchend",this.boundMouseEnterHandler,!1),this.forElement_.addEventListener("mouseleave",this.boundMouseLeaveAndScrollHandler,!1),window.addEventListener("scroll",this.boundMouseLeaveAndScrollHandler,!0),window.addEventListener("touchstart",this.boundMouseLeaveAndScrollHandler))}},i.register({constructor:f,classAsString:"MaterialTooltip",cssClass:"mdl-tooltip"});var b=function(e){this.element_=e,this.init()};window.MaterialLayout=b,b.prototype.Constant_={MAX_WIDTH:"(max-width: 1024px)",TAB_SCROLL_PIXELS:100,RESIZE_TIMEOUT:100,MENU_ICON:"&#xE5D2;",CHEVRON_LEFT:"chevron_left",CHEVRON_RIGHT:"chevron_right"},b.prototype.Keycodes_={ENTER:13,ESCAPE:27,SPACE:32},b.prototype.Mode_={STANDARD:0,SEAMED:1,WATERFALL:2,SCROLL:3},b.prototype.CssClasses_={CONTAINER:"mdl-layout__container",HEADER:"mdl-layout__header",DRAWER:"mdl-layout__drawer",CONTENT:"mdl-layout__content",DRAWER_BTN:"mdl-layout__drawer-button",ICON:"material-icons",JS_RIPPLE_EFFECT:"mdl-js-ripple-effect",RIPPLE_CONTAINER:"mdl-layout__tab-ripple-container",RIPPLE:"mdl-ripple",RIPPLE_IGNORE_EVENTS:"mdl-js-ripple-effect--ignore-events",HEADER_SEAMED:"mdl-layout__header--seamed",HEADER_WATERFALL:"mdl-layout__header--waterfall",HEADER_SCROLL:"mdl-layout__header--scroll",FIXED_HEADER:"mdl-layout--fixed-header",OBFUSCATOR:"mdl-layout__obfuscator",TAB_BAR:"mdl-layout__tab-bar",TAB_CONTAINER:"mdl-layout__tab-bar-container",TAB:"mdl-layout__tab",TAB_BAR_BUTTON:"mdl-layout__tab-bar-button",TAB_BAR_LEFT_BUTTON:"mdl-layout__tab-bar-left-button",TAB_BAR_RIGHT_BUTTON:"mdl-layout__tab-bar-right-button",TAB_MANUAL_SWITCH:"mdl-layout__tab-manual-switch",PANEL:"mdl-layout__tab-panel",HAS_DRAWER:"has-drawer",HAS_TABS:"has-tabs",HAS_SCROLLING_HEADER:"has-scrolling-header",CASTING_SHADOW:"is-casting-shadow",IS_COMPACT:"is-compact",IS_SMALL_SCREEN:"is-small-screen",IS_DRAWER_OPEN:"is-visible",IS_ACTIVE:"is-active",IS_UPGRADED:"is-upgraded",IS_ANIMATING:"is-animating",ON_LARGE_SCREEN:"mdl-layout--large-screen-only",ON_SMALL_SCREEN:"mdl-layout--small-screen-only"},b.prototype.contentScrollHandler_=function(){if(!this.header_.classList.contains(this.CssClasses_.IS_ANIMATING)){var e=!this.element_.classList.contains(this.CssClasses_.IS_SMALL_SCREEN)||this.element_.classList.contains(this.CssClasses_.FIXED_HEADER);this.content_.scrollTop>0&&!this.header_.classList.contains(this.CssClasses_.IS_COMPACT)?(this.header_.classList.add(this.CssClasses_.CASTING_SHADOW),this.header_.classList.add(this.CssClasses_.IS_COMPACT),e&&this.header_.classList.add(this.CssClasses_.IS_ANIMATING)):this.content_.scrollTop<=0&&this.header_.classList.contains(this.CssClasses_.IS_COMPACT)&&(this.header_.classList.remove(this.CssClasses_.CASTING_SHADOW),this.header_.classList.remove(this.CssClasses_.IS_COMPACT),e&&this.header_.classList.add(this.CssClasses_.IS_ANIMATING))}},b.prototype.keyboardEventHandler_=function(e){e.keyCode===this.Keycodes_.ESCAPE&&this.drawer_.classList.contains(this.CssClasses_.IS_DRAWER_OPEN)&&this.toggleDrawer()},b.prototype.screenSizeHandler_=function(){this.screenSizeMediaQuery_.matches?this.element_.classList.add(this.CssClasses_.IS_SMALL_SCREEN):(this.element_.classList.remove(this.CssClasses_.IS_SMALL_SCREEN),this.drawer_&&(this.drawer_.classList.remove(this.CssClasses_.IS_DRAWER_OPEN),this.obfuscator_.classList.remove(this.CssClasses_.IS_DRAWER_OPEN)))},b.prototype.drawerToggleHandler_=function(e){if(e&&"keydown"===e.type){if(e.keyCode!==this.Keycodes_.SPACE&&e.keyCode!==this.Keycodes_.ENTER)return;e.preventDefault()}this.toggleDrawer()},b.prototype.headerTransitionEndHandler_=function(){this.header_.classList.remove(this.CssClasses_.IS_ANIMATING)},b.prototype.headerClickHandler_=function(){this.header_.classList.contains(this.CssClasses_.IS_COMPACT)&&(this.header_.classList.remove(this.CssClasses_.IS_COMPACT),this.header_.classList.add(this.CssClasses_.IS_ANIMATING))},b.prototype.resetTabState_=function(e){for(var t=0;t<e.length;t++)e[t].classList.remove(this.CssClasses_.IS_ACTIVE)},b.prototype.resetPanelState_=function(e){for(var t=0;t<e.length;t++)e[t].classList.remove(this.CssClasses_.IS_ACTIVE)},b.prototype.toggleDrawer=function(){var e=this.element_.querySelector("."+this.CssClasses_.DRAWER_BTN);this.drawer_.classList.toggle(this.CssClasses_.IS_DRAWER_OPEN),this.obfuscator_.classList.toggle(this.CssClasses_.IS_DRAWER_OPEN),this.drawer_.classList.contains(this.CssClasses_.IS_DRAWER_OPEN)?(this.drawer_.setAttribute("aria-hidden","false"),e.setAttribute("aria-expanded","true")):(this.drawer_.setAttribute("aria-hidden","true"),e.setAttribute("aria-expanded","false"))},b.prototype.toggleDrawer=b.prototype.toggleDrawer,b.prototype.init=function(){if(this.element_){var e=document.createElement("div");e.classList.add(this.CssClasses_.CONTAINER);var t=this.element_.querySelector(":focus");this.element_.parentElement.insertBefore(e,this.element_),this.element_.parentElement.removeChild(this.element_),e.appendChild(this.element_),t&&t.focus();for(var i=this.element_.childNodes,n=i.length,a=0;a<n;a++){var l=i[a];l.classList&&l.classList.contains(this.CssClasses_.HEADER)&&(this.header_=l),l.classList&&l.classList.contains(this.CssClasses_.DRAWER)&&(this.drawer_=l),l.classList&&l.classList.contains(this.CssClasses_.CONTENT)&&(this.content_=l)}window.addEventListener("pageshow",function(e){e.persisted&&(this.element_.style.overflowY="hidden",requestAnimationFrame(function(){this.element_.style.overflowY=""}.bind(this)))}.bind(this),!1),this.header_&&(this.tabBar_=this.header_.querySelector("."+this.CssClasses_.TAB_BAR));var o=this.Mode_.STANDARD;if(this.header_&&(this.header_.classList.contains(this.CssClasses_.HEADER_SEAMED)?o=this.Mode_.SEAMED:this.header_.classList.contains(this.CssClasses_.HEADER_WATERFALL)?(o=this.Mode_.WATERFALL,this.header_.addEventListener("transitionend",this.headerTransitionEndHandler_.bind(this)),this.header_.addEventListener("click",this.headerClickHandler_.bind(this))):this.header_.classList.contains(this.CssClasses_.HEADER_SCROLL)&&(o=this.Mode_.SCROLL,e.classList.add(this.CssClasses_.HAS_SCROLLING_HEADER)),o===this.Mode_.STANDARD?(this.header_.classList.add(this.CssClasses_.CASTING_SHADOW),this.tabBar_&&this.tabBar_.classList.add(this.CssClasses_.CASTING_SHADOW)):o===this.Mode_.SEAMED||o===this.Mode_.SCROLL?(this.header_.classList.remove(this.CssClasses_.CASTING_SHADOW),this.tabBar_&&this.tabBar_.classList.remove(this.CssClasses_.CASTING_SHADOW)):o===this.Mode_.WATERFALL&&(this.content_.addEventListener("scroll",this.contentScrollHandler_.bind(this)),this.contentScrollHandler_())),this.drawer_){var r=this.element_.querySelector("."+this.CssClasses_.DRAWER_BTN);if(!r){(r=document.createElement("div")).setAttribute("aria-expanded","false"),r.setAttribute("role","button"),r.setAttribute("tabindex","0"),r.classList.add(this.CssClasses_.DRAWER_BTN);var _=document.createElement("i");_.classList.add(this.CssClasses_.ICON),_.innerHTML=this.Constant_.MENU_ICON,r.appendChild(_)}this.drawer_.classList.contains(this.CssClasses_.ON_LARGE_SCREEN)?r.classList.add(this.CssClasses_.ON_LARGE_SCREEN):this.drawer_.classList.contains(this.CssClasses_.ON_SMALL_SCREEN)&&r.classList.add(this.CssClasses_.ON_SMALL_SCREEN),r.addEventListener("click",this.drawerToggleHandler_.bind(this)),r.addEventListener("keydown",this.drawerToggleHandler_.bind(this)),this.element_.classList.add(this.CssClasses_.HAS_DRAWER),this.element_.classList.contains(this.CssClasses_.FIXED_HEADER)?this.header_.insertBefore(r,this.header_.firstChild):this.element_.insertBefore(r,this.content_);var d=document.createElement("div");d.classList.add(this.CssClasses_.OBFUSCATOR),this.element_.appendChild(d),d.addEventListener("click",this.drawerToggleHandler_.bind(this)),this.obfuscator_=d,this.drawer_.addEventListener("keydown",this.keyboardEventHandler_.bind(this)),this.drawer_.setAttribute("aria-hidden","true")}if(this.screenSizeMediaQuery_=window.matchMedia(this.Constant_.MAX_WIDTH),this.screenSizeMediaQuery_.addListener(this.screenSizeHandler_.bind(this)),this.screenSizeHandler_(),this.header_&&this.tabBar_){this.element_.classList.add(this.CssClasses_.HAS_TABS);var h=document.createElement("div");h.classList.add(this.CssClasses_.TAB_CONTAINER),this.header_.insertBefore(h,this.tabBar_),this.header_.removeChild(this.tabBar_);var c=document.createElement("div");c.classList.add(this.CssClasses_.TAB_BAR_BUTTON),c.classList.add(this.CssClasses_.TAB_BAR_LEFT_BUTTON);var p=document.createElement("i");p.classList.add(this.CssClasses_.ICON),p.textContent=this.Constant_.CHEVRON_LEFT,c.appendChild(p),c.addEventListener("click",function(){this.tabBar_.scrollLeft-=this.Constant_.TAB_SCROLL_PIXELS}.bind(this));var C=document.createElement("div");C.classList.add(this.CssClasses_.TAB_BAR_BUTTON),C.classList.add(this.CssClasses_.TAB_BAR_RIGHT_BUTTON);var u=document.createElement("i");u.classList.add(this.CssClasses_.ICON),u.textContent=this.Constant_.CHEVRON_RIGHT,C.appendChild(u),C.addEventListener("click",function(){this.tabBar_.scrollLeft+=this.Constant_.TAB_SCROLL_PIXELS}.bind(this)),h.appendChild(c),h.appendChild(this.tabBar_),h.appendChild(C);var E=function(){this.tabBar_.scrollLeft>0?c.classList.add(this.CssClasses_.IS_ACTIVE):c.classList.remove(this.CssClasses_.IS_ACTIVE),this.tabBar_.scrollLeft<this.tabBar_.scrollWidth-this.tabBar_.offsetWidth?C.classList.add(this.CssClasses_.IS_ACTIVE):C.classList.remove(this.CssClasses_.IS_ACTIVE)}.bind(this);this.tabBar_.addEventListener("scroll",E),E();var m=function(){this.resizeTimeoutId_&&clearTimeout(this.resizeTimeoutId_),this.resizeTimeoutId_=setTimeout(function(){E(),this.resizeTimeoutId_=null}.bind(this),this.Constant_.RESIZE_TIMEOUT)}.bind(this);window.addEventListener("resize",m),this.tabBar_.classList.contains(this.CssClasses_.JS_RIPPLE_EFFECT)&&this.tabBar_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS);for(var L=this.tabBar_.querySelectorAll("."+this.CssClasses_.TAB),I=this.content_.querySelectorAll("."+this.CssClasses_.PANEL),f=0;f<L.length;f++)new s(L[f],L,I,this)}this.element_.classList.add(this.CssClasses_.IS_UPGRADED)}},window.MaterialLayoutTab=s,i.register({constructor:b,classAsString:"MaterialLayout",cssClass:"mdl-js-layout"});var S=function(e){this.element_=e,this.init()};window.MaterialDataTable=S,S.prototype.Constant_={},S.prototype.CssClasses_={DATA_TABLE:"mdl-data-table",SELECTABLE:"mdl-data-table--selectable",SELECT_ELEMENT:"mdl-data-table__select",IS_SELECTED:"is-selected",IS_UPGRADED:"is-upgraded"},S.prototype.selectRow_=function(e,t,s){return t?function(){e.checked?t.classList.add(this.CssClasses_.IS_SELECTED):t.classList.remove(this.CssClasses_.IS_SELECTED)}.bind(this):s?function(){var t;if(e.checked)for(t=0;t<s.length;t++)s[t].querySelector("td").querySelector(".mdl-checkbox").MaterialCheckbox.check(),s[t].classList.add(this.CssClasses_.IS_SELECTED);else for(t=0;t<s.length;t++)s[t].querySelector("td").querySelector(".mdl-checkbox").MaterialCheckbox.uncheck(),s[t].classList.remove(this.CssClasses_.IS_SELECTED)}.bind(this):void 0},S.prototype.createCheckbox_=function(e,t){var s=document.createElement("label"),n=["mdl-checkbox","mdl-js-checkbox","mdl-js-ripple-effect",this.CssClasses_.SELECT_ELEMENT];s.className=n.join(" ");var a=document.createElement("input");return a.type="checkbox",a.classList.add("mdl-checkbox__input"),e?(a.checked=e.classList.contains(this.CssClasses_.IS_SELECTED),a.addEventListener("change",this.selectRow_(a,e))):t&&a.addEventListener("change",this.selectRow_(a,null,t)),s.appendChild(a),i.upgradeElement(s,"MaterialCheckbox"),s},S.prototype.init=function(){if(this.element_){var e=this.element_.querySelector("th"),t=Array.prototype.slice.call(this.element_.querySelectorAll("tbody tr")),s=Array.prototype.slice.call(this.element_.querySelectorAll("tfoot tr")),i=t.concat(s);if(this.element_.classList.contains(this.CssClasses_.SELECTABLE)){var n=document.createElement("th"),a=this.createCheckbox_(null,i);n.appendChild(a),e.parentElement.insertBefore(n,e);for(var l=0;l<i.length;l++){var o=i[l].querySelector("td");if(o){var r=document.createElement("td");if("TBODY"===i[l].parentNode.nodeName.toUpperCase()){var _=this.createCheckbox_(i[l]);r.appendChild(_)}i[l].insertBefore(r,o)}}this.element_.classList.add(this.CssClasses_.IS_UPGRADED)}}},i.register({constructor:S,classAsString:"MaterialDataTable",cssClass:"mdl-js-data-table"});var y=function(e){this.element_=e,this.init()};window.MaterialRipple=y,y.prototype.Constant_={INITIAL_SCALE:"scale(0.0001, 0.0001)",INITIAL_SIZE:"1px",INITIAL_OPACITY:"0.4",FINAL_OPACITY:"0",FINAL_SCALE:""},y.prototype.CssClasses_={RIPPLE_CENTER:"mdl-ripple--center",RIPPLE_EFFECT_IGNORE_EVENTS:"mdl-js-ripple-effect--ignore-events",RIPPLE:"mdl-ripple",IS_ANIMATING:"is-animating",IS_VISIBLE:"is-visible"},y.prototype.downHandler_=function(e){if(!this.rippleElement_.style.width&&!this.rippleElement_.style.height){var t=this.element_.getBoundingClientRect();this.boundHeight=t.height,this.boundWidth=t.width,this.rippleSize_=2*Math.sqrt(t.width*t.width+t.height*t.height)+2,this.rippleElement_.style.width=this.rippleSize_+"px",this.rippleElement_.style.height=this.rippleSize_+"px"}if(this.rippleElement_.classList.add(this.CssClasses_.IS_VISIBLE),"mousedown"===e.type&&this.ignoringMouseDown_)this.ignoringMouseDown_=!1;else{if("touchstart"===e.type&&(this.ignoringMouseDown_=!0),this.getFrameCount()>0)return;this.setFrameCount(1);var s,i,n=e.currentTarget.getBoundingClientRect();if(0===e.clientX&&0===e.clientY)s=Math.round(n.width/2),i=Math.round(n.height/2);else{var a=void 0!==e.clientX?e.clientX:e.touches[0].clientX,l=void 0!==e.clientY?e.clientY:e.touches[0].clientY;s=Math.round(a-n.left),i=Math.round(l-n.top)}this.setRippleXY(s,i),this.setRippleStyles(!0),window.requestAnimationFrame(this.animFrameHandler.bind(this))}},y.prototype.upHandler_=function(e){e&&2!==e.detail&&window.setTimeout(function(){this.rippleElement_.classList.remove(this.CssClasses_.IS_VISIBLE)}.bind(this),0)},y.prototype.init=function(){if(this.element_){var e=this.element_.classList.contains(this.CssClasses_.RIPPLE_CENTER);this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT_IGNORE_EVENTS)||(this.rippleElement_=this.element_.querySelector("."+this.CssClasses_.RIPPLE),this.frameCount_=0,this.rippleSize_=0,this.x_=0,this.y_=0,this.ignoringMouseDown_=!1,this.boundDownHandler=this.downHandler_.bind(this),this.element_.addEventListener("mousedown",this.boundDownHandler),this.element_.addEventListener("touchstart",this.boundDownHandler),this.boundUpHandler=this.upHandler_.bind(this),this.element_.addEventListener("mouseup",this.boundUpHandler),this.element_.addEventListener("mouseleave",this.boundUpHandler),this.element_.addEventListener("touchend",this.boundUpHandler),this.element_.addEventListener("blur",this.boundUpHandler),this.getFrameCount=function(){return this.frameCount_},this.setFrameCount=function(e){this.frameCount_=e},this.getRippleElement=function(){return this.rippleElement_},this.setRippleXY=function(e,t){this.x_=e,this.y_=t},this.setRippleStyles=function(t){if(null!==this.rippleElement_){var s,i,n="translate("+this.x_+"px, "+this.y_+"px)";t?(i=this.Constant_.INITIAL_SCALE,this.Constant_.INITIAL_SIZE):(i=this.Constant_.FINAL_SCALE,this.rippleSize_+"px",e&&(n="translate("+this.boundWidth/2+"px, "+this.boundHeight/2+"px)")),s="translate(-50%, -50%) "+n+i,this.rippleElement_.style.webkitTransform=s,this.rippleElement_.style.msTransform=s,this.rippleElement_.style.transform=s,t?this.rippleElement_.classList.remove(this.CssClasses_.IS_ANIMATING):this.rippleElement_.classList.add(this.CssClasses_.IS_ANIMATING)}},this.animFrameHandler=function(){this.frameCount_-- >0?window.requestAnimationFrame(this.animFrameHandler.bind(this)):this.setRippleStyles(!1)})}},i.register({constructor:y,classAsString:"MaterialRipple",cssClass:"mdl-js-ripple-effect",widget:!1})}();
-},{}],"8QiI":[function(require,module,exports) {
+},{}],"QiIT":[function(require,module,exports) {
 
 var e=module.exports="undefined"!=typeof window&&window.Math==Math?window:"undefined"!=typeof self&&self.Math==Math?self:Function("return this")();"number"==typeof __g&&(__g=e);
-},{}],"k/OQ":[function(require,module,exports) {
+},{}],"kOQz":[function(require,module,exports) {
 var r={}.hasOwnProperty;module.exports=function(e,n){return r.call(e,n)};
 },{}],"BI7s":[function(require,module,exports) {
 module.exports=function(r){try{return!!r()}catch(t){return!0}};
 },{}],"jVdc":[function(require,module,exports) {
 module.exports=!require("./_fails")(function(){return 7!=Object.defineProperty({},"a",{get:function(){return 7}}).a});
-},{"./_fails":"BI7s"}],"6DcE":[function(require,module,exports) {
-var e=module.exports={version:"2.6.9"};"number"==typeof __e&&(__e=e);
-},{}],"/2t/":[function(require,module,exports) {
+},{"./_fails":"BI7s"}],"DcE6":[function(require,module,exports) {
+var e=module.exports={version:"2.6.11"};"number"==typeof __e&&(__e=e);
+},{}],"tZ11":[function(require,module,exports) {
 module.exports=function(o){return"object"==typeof o?null!==o:"function"==typeof o};
-},{}],"1087":[function(require,module,exports) {
+},{}],"AIrJ":[function(require,module,exports) {
 var r=require("./_is-object");module.exports=function(e){if(!r(e))throw TypeError(e+" is not an object!");return e};
-},{"./_is-object":"/2t/"}],"4cz6":[function(require,module,exports) {
+},{"./_is-object":"tZ11"}],"cz6Q":[function(require,module,exports) {
 var e=require("./_is-object"),r=require("./_global").document,t=e(r)&&e(r.createElement);module.exports=function(e){return t?r.createElement(e):{}};
-},{"./_is-object":"/2t/","./_global":"8QiI"}],"+9/k":[function(require,module,exports) {
+},{"./_is-object":"tZ11","./_global":"QiIT"}],"kIpn":[function(require,module,exports) {
 module.exports=!require("./_descriptors")&&!require("./_fails")(function(){return 7!=Object.defineProperty(require("./_dom-create")("div"),"a",{get:function(){return 7}}).a});
-},{"./_descriptors":"jVdc","./_fails":"BI7s","./_dom-create":"4cz6"}],"S7GM":[function(require,module,exports) {
+},{"./_descriptors":"jVdc","./_fails":"BI7s","./_dom-create":"cz6Q"}],"S7GM":[function(require,module,exports) {
 var t=require("./_is-object");module.exports=function(r,e){if(!t(r))return r;var o,n;if(e&&"function"==typeof(o=r.toString)&&!t(n=o.call(r)))return n;if("function"==typeof(o=r.valueOf)&&!t(n=o.call(r)))return n;if(!e&&"function"==typeof(o=r.toString)&&!t(n=o.call(r)))return n;throw TypeError("Can't convert object to primitive value")};
-},{"./_is-object":"/2t/"}],"gGgn":[function(require,module,exports) {
+},{"./_is-object":"tZ11"}],"gGgn":[function(require,module,exports) {
 var e=require("./_an-object"),r=require("./_ie8-dom-define"),t=require("./_to-primitive"),i=Object.defineProperty;exports.f=require("./_descriptors")?Object.defineProperty:function(o,n,u){if(e(o),n=t(n,!0),e(u),r)try{return i(o,n,u)}catch(c){}if("get"in u||"set"in u)throw TypeError("Accessors not supported!");return"value"in u&&(o[n]=u.value),o};
-},{"./_an-object":"1087","./_ie8-dom-define":"+9/k","./_to-primitive":"S7GM","./_descriptors":"jVdc"}],"zQQJ":[function(require,module,exports) {
+},{"./_an-object":"AIrJ","./_ie8-dom-define":"kIpn","./_to-primitive":"S7GM","./_descriptors":"jVdc"}],"zQQJ":[function(require,module,exports) {
 module.exports=function(e,r){return{enumerable:!(1&e),configurable:!(2&e),writable:!(4&e),value:r}};
 },{}],"nCfi":[function(require,module,exports) {
 var r=require("./_object-dp"),e=require("./_property-desc");module.exports=require("./_descriptors")?function(t,u,o){return r.f(t,u,e(1,o))}:function(r,e,t){return r[e]=t,r};
@@ -36,186 +38,186 @@ module.exports=!1;
 },{}],"k492":[function(require,module,exports) {
 
 var r=require("./_core"),e=require("./_global"),o="__core-js_shared__",i=e[o]||(e[o]={});(module.exports=function(r,e){return i[r]||(i[r]=void 0!==e?e:{})})("versions",[]).push({version:r.version,mode:require("./_library")?"pure":"global",copyright:"© 2019 Denis Pushkarev (zloirock.ru)"});
-},{"./_core":"6DcE","./_global":"8QiI","./_library":"dG4y"}],"it4f":[function(require,module,exports) {
+},{"./_core":"DcE6","./_global":"QiIT","./_library":"dG4y"}],"it4f":[function(require,module,exports) {
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 var e=require("./_export"),r=require("./_is-integer"),i=Math.abs;e(e.S,"Number",{isSafeInteger:function(e){return r(e)&&i(e)<=9007199254740991}});
-},{"./_export":"Vobs","./_is-integer":"tjYZ"}],"fOC+":[function(require,module,exports) {
+},{"./_export":"Vobs","./_is-integer":"tjYZ"}],"fOC8":[function(require,module,exports) {
 var r=require("./_export");r(r.S,"Number",{MAX_SAFE_INTEGER:9007199254740991});
-},{"./_export":"Vobs"}],"93yv":[function(require,module,exports) {
+},{"./_export":"Vobs"}],"yvVo":[function(require,module,exports) {
 var r=require("./_export");r(r.S,"Number",{MIN_SAFE_INTEGER:-9007199254740991});
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 var r=require("./_export"),e=require("./_parse-float");r(r.S+r.F*(Number.parseFloat!=e),"Number",{parseFloat:e});
 },{"./_export":"Vobs","./_parse-float":"tlHn"}],"fCj1":[function(require,module,exports) {
 var r=require("./_export"),e=require("./_parse-int");r(r.S+r.F*(Number.parseInt!=e),"Number",{parseInt:e});
-},{"./_export":"Vobs","./_parse-int":"U/D3"}],"rR7R":[function(require,module,exports) {
+},{"./_export":"Vobs","./_parse-int":"UD3M"}],"rR7R":[function(require,module,exports) {
 module.exports=Math.log1p||function(e){return(e=+e)>-1e-8&&e<1e-8?e-e*e/2:Math.log(1+e)};
-},{}],"+8o7":[function(require,module,exports) {
+},{}],"o78V":[function(require,module,exports) {
 var a=require("./_export"),r=require("./_math-log1p"),t=Math.sqrt,h=Math.acosh;a(a.S+a.F*!(h&&710==Math.floor(h(Number.MAX_VALUE))&&h(1/0)==1/0),"Math",{acosh:function(a){return(a=+a)<1?NaN:a>94906265.62425156?Math.log(a)+Math.LN2:r(a-1+t(a-1)*t(a+1))}});
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 var t=require("./_export"),a=Math.asinh;function i(t){return isFinite(t=+t)&&0!=t?t<0?-i(-t):Math.log(t+Math.sqrt(t*t+1)):t}t(t.S+t.F*!(a&&1/a(0)>0),"Math",{asinh:i});
-},{"./_export":"Vobs"}],"0Pmr":[function(require,module,exports) {
+},{"./_export":"Vobs"}],"Pmrp":[function(require,module,exports) {
 var a=require("./_export"),t=Math.atanh;a(a.S+a.F*!(t&&1/t(-0)<0),"Math",{atanh:function(a){return 0==(a=+a)?a:Math.log((1+a)/(1-a))/2}});
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 module.exports=Math.sign||function(n){return 0==(n=+n)||n!=n?n:n<0?-1:1};
@@ -229,11 +231,11 @@ var r=require("./_export"),e=Math.exp;r(r.S,"Math",{cosh:function(r){return(e(r=
 var e=Math.expm1;module.exports=!e||e(10)>22025.465794806718||e(10)<22025.465794806718||-2e-17!=e(-2e-17)?function(e){return 0==(e=+e)?e:e>-1e-6&&e<1e-6?e+e*e/2:Math.exp(e)-1}:e;
 },{}],"aBEU":[function(require,module,exports) {
 var e=require("./_export"),r=require("./_math-expm1");e(e.S+e.F*(r!=Math.expm1),"Math",{expm1:r});
-},{"./_export":"Vobs","./_math-expm1":"sm22"}],"6lqk":[function(require,module,exports) {
+},{"./_export":"Vobs","./_math-expm1":"sm22"}],"lqkS":[function(require,module,exports) {
 var r=require("./_math-sign"),t=Math.pow,n=t(2,-52),a=t(2,-23),u=t(2,127)*(2-a),e=t(2,-126),o=function(r){return r+1/n-1/n};module.exports=Math.fround||function(t){var h,i,f=Math.abs(t),s=r(t);return f<e?s*o(f/e/a)*e*a:(i=(h=(1+a/n)*f)-(h-f))>u||i!=i?s*(1/0):s*i};
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 var r=require("./_export");r(r.S,"Math",{fround:require("./_math-fround")});
-},{"./_export":"Vobs","./_math-fround":"6lqk"}],"HXfT":[function(require,module,exports) {
+},{"./_export":"Vobs","./_math-fround":"lqkS"}],"HXfT":[function(require,module,exports) {
 var r=require("./_export"),t=Math.abs;r(r.S,"Math",{hypot:function(r,a){for(var e,h,n=0,o=0,u=arguments.length,M=0;o<u;)M<(e=t(arguments[o++]))?(n=n*(h=M/e)*h+1,M=e):n+=e>0?(h=e/M)*h:e;return M===1/0?1/0:M*Math.sqrt(n)}});
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 var r=require("./_export"),e=Math.imul;r(r.S+r.F*require("./_fails")(function(){return-5!=e(4294967295,5)||2!=e.length}),"Math",{imul:function(r,e){var t=+r,u=+e,i=65535&t,n=65535&u;return 0|i*n+((65535&t>>>16)*n+i*(65535&u>>>16)<<16>>>0)}});
@@ -245,7 +247,7 @@ var r=require("./_export");r(r.S,"Math",{log1p:require("./_math-log1p")});
 var r=require("./_export");r(r.S,"Math",{log2:function(r){return Math.log(r)/Math.LN2}});
 },{"./_export":"Vobs"}],"d1Y4":[function(require,module,exports) {
 var r=require("./_export");r(r.S,"Math",{sign:require("./_math-sign")});
-},{"./_export":"Vobs","./_math-sign":"ZIrZ"}],"20dh":[function(require,module,exports) {
+},{"./_export":"Vobs","./_math-sign":"ZIrZ"}],"dhHM":[function(require,module,exports) {
 var e=require("./_export"),r=require("./_math-expm1"),t=Math.exp;e(e.S+e.F*require("./_fails")(function(){return-2e-17!=!Math.sinh(-2e-17)}),"Math",{sinh:function(e){return Math.abs(e=+e)<1?(r(e)-r(-e))/2:(t(e-1)-t(-e-1))*(Math.E/2)}});
 },{"./_export":"Vobs","./_math-expm1":"sm22","./_fails":"BI7s"}],"cxv8":[function(require,module,exports) {
 var r=require("./_export"),e=require("./_math-expm1"),t=Math.exp;r(r.S,"Math",{tanh:function(r){var a=e(r=+r),h=e(-r);return a==1/0?1:h==1/0?-1:(a-h)/(t(r)+t(-r))}});
@@ -253,39 +255,39 @@ var r=require("./_export"),e=require("./_math-expm1"),t=Math.exp;r(r.S,"Math",{t
 var r=require("./_export");r(r.S,"Math",{trunc:function(r){return(r>0?Math.floor:Math.ceil)(r)}});
 },{"./_export":"Vobs"}],"DdG0":[function(require,module,exports) {
 var r=require("./_export"),o=require("./_to-absolute-index"),e=String.fromCharCode,n=String.fromCodePoint;r(r.S+r.F*(!!n&&1!=n.length),"String",{fromCodePoint:function(r){for(var n,t=[],i=arguments.length,a=0;i>a;){if(n=+arguments[a++],o(n,1114111)!==n)throw RangeError(n+" is not a valid code point");t.push(n<65536?e(n):e(55296+((n-=65536)>>10),n%1024+56320))}return t.join("")}});
-},{"./_export":"Vobs","./_to-absolute-index":"tPLG"}],"KDc+":[function(require,module,exports) {
+},{"./_export":"Vobs","./_to-absolute-index":"tPLG"}],"KDcE":[function(require,module,exports) {
 var r=require("./_export"),e=require("./_to-iobject"),t=require("./_to-length");r(r.S,"String",{raw:function(r){for(var n=e(r.raw),i=t(n.length),o=arguments.length,u=[],g=0;i>g;)u.push(String(n[g++])),g<o&&u.push(String(arguments[g]));return u.join("")}});
-},{"./_export":"Vobs","./_to-iobject":"zakI","./_to-length":"0KLz"}],"D/Dr":[function(require,module,exports) {
+},{"./_export":"Vobs","./_to-iobject":"zakI","./_to-length":"KLzx"}],"DDrZ":[function(require,module,exports) {
 "use strict";require("./_string-trim")("trim",function(r){return function(){return r(this,3)}});
-},{"./_string-trim":"JIX2"}],"4j93":[function(require,module,exports) {
+},{"./_string-trim":"JIX2"}],"j93N":[function(require,module,exports) {
 var e=require("./_to-integer"),r=require("./_defined");module.exports=function(t){return function(n,i){var o,u,c=String(r(n)),d=e(i),a=c.length;return d<0||d>=a?t?"":void 0:(o=c.charCodeAt(d))<55296||o>56319||d+1===a||(u=c.charCodeAt(d+1))<56320||u>57343?t?c.charAt(d):o:t?c.slice(d,d+2):u-56320+(o-55296<<10)+65536}};
-},{"./_to-integer":"ubM9","./_defined":"3V0R"}],"H5R/":[function(require,module,exports) {
+},{"./_to-integer":"ubM9","./_defined":"V0RG"}],"H5RD":[function(require,module,exports) {
 module.exports={};
 },{}],"gj4O":[function(require,module,exports) {
 "use strict";var e=require("./_object-create"),r=require("./_property-desc"),t=require("./_set-to-string-tag"),i={};require("./_hide")(i,require("./_wks")("iterator"),function(){return this}),module.exports=function(o,u,s){o.prototype=e(i,{next:r(1,s)}),t(o,u+" Iterator")};
-},{"./_object-create":"EH/8","./_property-desc":"zQQJ","./_set-to-string-tag":"+IBD","./_hide":"nCfi","./_wks":"I5XL"}],"MKcl":[function(require,module,exports) {
+},{"./_object-create":"EH8e","./_property-desc":"zQQJ","./_set-to-string-tag":"IBDH","./_hide":"nCfi","./_wks":"I5XL"}],"MKcl":[function(require,module,exports) {
 "use strict";var e=require("./_library"),r=require("./_export"),t=require("./_redefine"),i=require("./_hide"),n=require("./_iterators"),u=require("./_iter-create"),o=require("./_set-to-string-tag"),s=require("./_object-gpo"),a=require("./_wks")("iterator"),c=!([].keys&&"next"in[].keys()),f="@@iterator",l="keys",q="values",y=function(){return this};module.exports=function(_,p,h,k,v,w,d){u(h,p,k);var x,b,g,j=function(e){if(!c&&e in I)return I[e];switch(e){case l:case q:return function(){return new h(this,e)}}return function(){return new h(this,e)}},m=p+" Iterator",A=v==q,F=!1,I=_.prototype,O=I[a]||I[f]||v&&I[v],P=O||j(v),z=v?A?j("entries"):P:void 0,B="Array"==p&&I.entries||O;if(B&&(g=s(B.call(new _)))!==Object.prototype&&g.next&&(o(g,m,!0),e||"function"==typeof g[a]||i(g,a,y)),A&&O&&O.name!==q&&(F=!0,P=function(){return O.call(this)}),e&&!d||!c&&!F&&I[a]||i(I,a,P),n[p]=P,n[m]=y,v)if(x={values:A?P:j(q),keys:w?P:j(l),entries:z},d)for(b in x)b in I||t(I,b,x[b]);else r(r.P+r.F*(c||F),p,x);return x};
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 "use strict";var i=require("./_string-at")(!0);require("./_iter-define")(String,"String",function(i){this._t=String(i),this._i=0},function(){var t,e=this._t,n=this._i;return n>=e.length?{value:void 0,done:!0}:(t=i(e,n),this._i+=t.length,{value:t,done:!1})});
-},{"./_string-at":"4j93","./_iter-define":"MKcl"}],"gGid":[function(require,module,exports) {
+},{"./_string-at":"j93N","./_iter-define":"MKcl"}],"gGid":[function(require,module,exports) {
 "use strict";var r=require("./_export"),t=require("./_string-at")(!1);r(r.P,"String",{codePointAt:function(r){return t(this,r)}});
-},{"./_export":"Vobs","./_string-at":"4j93"}],"9r5g":[function(require,module,exports) {
+},{"./_export":"Vobs","./_string-at":"j93N"}],"r5g1":[function(require,module,exports) {
 var e=require("./_is-object"),r=require("./_cof"),i=require("./_wks")("match");module.exports=function(o){var u;return e(o)&&(void 0!==(u=o[i])?!!u:"RegExp"==r(o))};
-},{"./_is-object":"/2t/","./_cof":"3+Dr","./_wks":"I5XL"}],"6dpx":[function(require,module,exports) {
+},{"./_is-object":"tZ11","./_cof":"DrRY","./_wks":"I5XL"}],"dpxX":[function(require,module,exports) {
 var e=require("./_is-regexp"),r=require("./_defined");module.exports=function(i,t,n){if(e(t))throw TypeError("String#"+n+" doesn't accept regex!");return String(r(i))};
-},{"./_is-regexp":"9r5g","./_defined":"3V0R"}],"Z7lT":[function(require,module,exports) {
+},{"./_is-regexp":"r5g1","./_defined":"V0RG"}],"Z7lT":[function(require,module,exports) {
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-},{"./_export":"Vobs","./_to-length":"0KLz","./_string-context":"6dpx","./_fails-is-regexp":"Z7lT"}],"qgIv":[function(require,module,exports) {
+},{"./_export":"Vobs","./_to-length":"KLzx","./_string-context":"dpxX","./_fails-is-regexp":"Z7lT"}],"qgIv":[function(require,module,exports) {
 "use strict";var e=require("./_export"),i=require("./_string-context"),r="includes";e(e.P+e.F*require("./_fails-is-regexp")(r),"String",{includes:function(e){return!!~i(this,e,r).indexOf(e,arguments.length>1?arguments[1]:void 0)}});
-},{"./_export":"Vobs","./_string-context":"6dpx","./_fails-is-regexp":"Z7lT"}],"Z/Ab":[function(require,module,exports) {
+},{"./_export":"Vobs","./_string-context":"dpxX","./_fails-is-regexp":"Z7lT"}],"ZAbm":[function(require,module,exports) {
 var r=require("./_export");r(r.P,"String",{repeat:require("./_string-repeat")});
-},{"./_export":"Vobs","./_string-repeat":"0Lz3"}],"U3MC":[function(require,module,exports) {
+},{"./_export":"Vobs","./_string-repeat":"Lz3r"}],"U3MC":[function(require,module,exports) {
 "use strict";var t=require("./_export"),r=require("./_to-length"),e=require("./_string-context"),i="startsWith",n=""[i];t(t.P+t.F*require("./_fails-is-regexp")(i),"String",{startsWith:function(t){var s=e(this,t,i),g=r(Math.min(arguments.length>1?arguments[1]:void 0,s.length)),h=String(t);return n?n.call(s,h,g):s.slice(g,g+h.length)===h}});
-},{"./_export":"Vobs","./_to-length":"0KLz","./_string-context":"6dpx","./_fails-is-regexp":"Z7lT"}],"OaTR":[function(require,module,exports) {
+},{"./_export":"Vobs","./_to-length":"KLzx","./_string-context":"dpxX","./_fails-is-regexp":"Z7lT"}],"OaTR":[function(require,module,exports) {
 var r=require("./_export"),e=require("./_fails"),t=require("./_defined"),n=/"/g,i=function(r,e,i,u){var o=String(t(r)),a="<"+e;return""!==i&&(a+=" "+i+'="'+String(u).replace(n,"&quot;")+'"'),a+">"+o+"</"+e+">"};module.exports=function(t,n){var u={};u[t]=n(i),r(r.P+r.F*e(function(){var r=""[t]('"');return r!==r.toLowerCase()||r.split('"').length>3}),"String",u)};
-},{"./_export":"Vobs","./_fails":"BI7s","./_defined":"3V0R"}],"eRhq":[function(require,module,exports) {
+},{"./_export":"Vobs","./_fails":"BI7s","./_defined":"V0RG"}],"eRhq":[function(require,module,exports) {
 "use strict";require("./_string-html")("anchor",function(n){return function(r){return n(this,"a","name",r)}});
 },{"./_string-html":"OaTR"}],"HLSM":[function(require,module,exports) {
 "use strict";require("./_string-html")("big",function(t){return function(){return t(this,"big","","")}});
@@ -297,7 +299,7 @@ var r=require("./_export"),e=require("./_fails"),t=require("./_defined"),n=/"/g,
 "use strict";require("./_string-html")("fixed",function(t){return function(){return t(this,"tt","","")}});
 },{"./_string-html":"OaTR"}],"RECM":[function(require,module,exports) {
 "use strict";require("./_string-html")("fontcolor",function(t){return function(r){return t(this,"font","color",r)}});
-},{"./_string-html":"OaTR"}],"l7+o":[function(require,module,exports) {
+},{"./_string-html":"OaTR"}],"l7OI":[function(require,module,exports) {
 "use strict";require("./_string-html")("fontsize",function(t){return function(n){return t(this,"font","size",n)}});
 },{"./_string-html":"OaTR"}],"uJlj":[function(require,module,exports) {
 "use strict";require("./_string-html")("italics",function(t){return function(){return t(this,"i","","")}});
@@ -307,39 +309,39 @@ var r=require("./_export"),e=require("./_fails"),t=require("./_defined"),n=/"/g,
 "use strict";require("./_string-html")("small",function(t){return function(){return t(this,"small","","")}});
 },{"./_string-html":"OaTR"}],"MhVl":[function(require,module,exports) {
 "use strict";require("./_string-html")("strike",function(t){return function(){return t(this,"strike","","")}});
-},{"./_string-html":"OaTR"}],"DF/m":[function(require,module,exports) {
+},{"./_string-html":"OaTR"}],"DFMN":[function(require,module,exports) {
 "use strict";require("./_string-html")("sub",function(t){return function(){return t(this,"sub","","")}});
 },{"./_string-html":"OaTR"}],"X3LC":[function(require,module,exports) {
 "use strict";require("./_string-html")("sup",function(t){return function(){return t(this,"sup","","")}});
-},{"./_string-html":"OaTR"}],"8Syd":[function(require,module,exports) {
+},{"./_string-html":"OaTR"}],"Sydr":[function(require,module,exports) {
 var e=require("./_export");e(e.S,"Date",{now:function(){return(new Date).getTime()}});
-},{"./_export":"Vobs"}],"G+NU":[function(require,module,exports) {
+},{"./_export":"Vobs"}],"GNUn":[function(require,module,exports) {
 "use strict";var t=require("./_export"),e=require("./_to-object"),r=require("./_to-primitive");t(t.P+t.F*require("./_fails")(function(){return null!==new Date(NaN).toJSON()||1!==Date.prototype.toJSON.call({toISOString:function(){return 1}})}),"Date",{toJSON:function(t){var i=e(this),n=r(i);return"number"!=typeof n||isFinite(n)?i.toISOString():null}});
-},{"./_export":"Vobs","./_to-object":"2XMZ","./_to-primitive":"S7GM","./_fails":"BI7s"}],"wk7G":[function(require,module,exports) {
+},{"./_export":"Vobs","./_to-object":"XMZs","./_to-primitive":"S7GM","./_fails":"BI7s"}],"wk7G":[function(require,module,exports) {
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-},{"./_fails":"BI7s"}],"83fP":[function(require,module,exports) {
+},{"./_fails":"BI7s"}],"fPZl":[function(require,module,exports) {
 var t=require("./_export"),r=require("./_date-to-iso-string");t(t.P+t.F*(Date.prototype.toISOString!==r),"Date",{toISOString:r});
-},{"./_export":"Vobs","./_date-to-iso-string":"wk7G"}],"0FKf":[function(require,module,exports) {
+},{"./_export":"Vobs","./_date-to-iso-string":"wk7G"}],"FKfL":[function(require,module,exports) {
 var e=Date.prototype,t="Invalid Date",a="toString",r=e[a],i=e.getTime;new Date(NaN)+""!=t&&require("./_redefine")(e,a,function(){var e=i.call(this);return e==e?r.call(this):t});
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-},{"./_an-object":"1087","./_to-primitive":"S7GM"}],"nktC":[function(require,module,exports) {
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diff --git a/docs/python_docs/themes/mx-theme/mxtheme/static/sphinx_materialdesign_theme.js.map b/docs/python_docs/themes/mx-theme/mxtheme/static/sphinx_materialdesign_theme.js.map
index 4c4c70d29921..87e68e4d0f27 100644
--- a/docs/python_docs/themes/mx-theme/mxtheme/static/sphinx_materialdesign_theme.js.map
+++ b/docs/python_docs/themes/mx-theme/mxtheme/static/sphinx_materialdesign_theme.js.map
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* @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Ripple MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialRipple = function MaterialRipple(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialRipple'] = MaterialRipple;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialRipple.prototype.Constant_ = {\n    INITIAL_SCALE: 'scale(0.0001, 0.0001)',\n    INITIAL_SIZE: '1px',\n    INITIAL_OPACITY: '0.4',\n    FINAL_OPACITY: '0',\n    FINAL_SCALE: ''\n};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialRipple.prototype.CssClasses_ = {\n    RIPPLE_CENTER: 'mdl-ripple--center',\n    RIPPLE_EFFECT_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events',\n    RIPPLE: 'mdl-ripple',\n    IS_ANIMATING: 'is-animating',\n    IS_VISIBLE: 'is-visible'\n};\n/**\n   * Handle mouse / finger down on element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialRipple.prototype.downHandler_ = function (event) {\n    if (!this.rippleElement_.style.width && !this.rippleElement_.style.height) {\n        var rect = this.element_.getBoundingClientRect();\n        this.boundHeight = rect.height;\n        this.boundWidth = rect.width;\n        this.rippleSize_ = Math.sqrt(rect.width * rect.width + rect.height * rect.height) * 2 + 2;\n        this.rippleElement_.style.width = this.rippleSize_ + 'px';\n        this.rippleElement_.style.height = this.rippleSize_ + 'px';\n    }\n    this.rippleElement_.classList.add(this.CssClasses_.IS_VISIBLE);\n    if (event.type === 'mousedown' && this.ignoringMouseDown_) {\n        this.ignoringMouseDown_ = false;\n    } else {\n        if (event.type === 'touchstart') {\n            this.ignoringMouseDown_ = true;\n        }\n        var frameCount = this.getFrameCount();\n        if (frameCount > 0) {\n            return;\n        }\n        this.setFrameCount(1);\n        var bound = event.currentTarget.getBoundingClientRect();\n        var x;\n        var y;\n        // Check if we are handling a keyboard click.\n        if (event.clientX === 0 && event.clientY === 0) {\n            x = Math.round(bound.width / 2);\n            y = Math.round(bound.height / 2);\n        } else {\n            var clientX = event.clientX !== undefined ? event.clientX : event.touches[0].clientX;\n            var clientY = event.clientY !== undefined ? event.clientY : event.touches[0].clientY;\n            x = Math.round(clientX - bound.left);\n            y = Math.round(clientY - bound.top);\n        }\n        this.setRippleXY(x, y);\n        this.setRippleStyles(true);\n        window.requestAnimationFrame(this.animFrameHandler.bind(this));\n    }\n};\n/**\n   * Handle mouse / finger up on element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialRipple.prototype.upHandler_ = function (event) {\n    // Don't fire for the artificial \"mouseup\" generated by a double-click.\n    if (event && event.detail !== 2) {\n        // Allow a repaint to occur before removing this class, so the animation\n        // shows for tap events, which seem to trigger a mouseup too soon after\n        // mousedown.\n        window.setTimeout(function () {\n            this.rippleElement_.classList.remove(this.CssClasses_.IS_VISIBLE);\n        }.bind(this), 0);\n    }\n};\n/**\n   * Initialize element.\n   */\nMaterialRipple.prototype.init = function () {\n    if (this.element_) {\n        var recentering = this.element_.classList.contains(this.CssClasses_.RIPPLE_CENTER);\n        if (!this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT_IGNORE_EVENTS)) {\n            this.rippleElement_ = this.element_.querySelector('.' + this.CssClasses_.RIPPLE);\n            this.frameCount_ = 0;\n            this.rippleSize_ = 0;\n            this.x_ = 0;\n            this.y_ = 0;\n            // Touch start produces a compat mouse down event, which would cause a\n            // second ripples. To avoid that, we use this property to ignore the first\n            // mouse down after a touch start.\n            this.ignoringMouseDown_ = false;\n            this.boundDownHandler = this.downHandler_.bind(this);\n            this.element_.addEventListener('mousedown', this.boundDownHandler);\n            this.element_.addEventListener('touchstart', this.boundDownHandler);\n            this.boundUpHandler = this.upHandler_.bind(this);\n            this.element_.addEventListener('mouseup', this.boundUpHandler);\n            this.element_.addEventListener('mouseleave', this.boundUpHandler);\n            this.element_.addEventListener('touchend', this.boundUpHandler);\n            this.element_.addEventListener('blur', this.boundUpHandler);\n            /**\n         * Getter for frameCount_.\n         * @return {number} the frame count.\n         */\n            this.getFrameCount = function () {\n                return this.frameCount_;\n            };\n            /**\n         * Setter for frameCount_.\n         * @param {number} fC the frame count.\n         */\n            this.setFrameCount = function (fC) {\n                this.frameCount_ = fC;\n            };\n            /**\n         * Getter for rippleElement_.\n         * @return {Element} the ripple element.\n         */\n            this.getRippleElement = function () {\n                return this.rippleElement_;\n            };\n            /**\n         * Sets the ripple X and Y coordinates.\n         * @param  {number} newX the new X coordinate\n         * @param  {number} newY the new Y coordinate\n         */\n            this.setRippleXY = function (newX, newY) {\n                this.x_ = newX;\n                this.y_ = newY;\n            };\n            /**\n         * Sets the ripple styles.\n         * @param  {boolean} start whether or not this is the start frame.\n         */\n            this.setRippleStyles = function (start) {\n                if (this.rippleElement_ !== null) {\n                    var transformString;\n                    var scale;\n                    var size;\n                    var offset = 'translate(' + this.x_ + 'px, ' + this.y_ + 'px)';\n                    if (start) {\n                        scale = this.Constant_.INITIAL_SCALE;\n                        size = this.Constant_.INITIAL_SIZE;\n                    } else {\n                        scale = this.Constant_.FINAL_SCALE;\n                        size = this.rippleSize_ + 'px';\n                        if (recentering) {\n                            offset = 'translate(' + this.boundWidth / 2 + 'px, ' + this.boundHeight / 2 + 'px)';\n                        }\n                    }\n                    transformString = 'translate(-50%, -50%) ' + offset + scale;\n                    this.rippleElement_.style.webkitTransform = transformString;\n                    this.rippleElement_.style.msTransform = transformString;\n                    this.rippleElement_.style.transform = transformString;\n                    if (start) {\n                        this.rippleElement_.classList.remove(this.CssClasses_.IS_ANIMATING);\n                    } else {\n                        this.rippleElement_.classList.add(this.CssClasses_.IS_ANIMATING);\n                    }\n                }\n            };\n            /**\n         * Handles an animation frame.\n         */\n            this.animFrameHandler = function () {\n                if (this.frameCount_-- > 0) {\n                    window.requestAnimationFrame(this.animFrameHandler.bind(this));\n                } else {\n                    this.setRippleStyles(false);\n                }\n            };\n        }\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialRipple,\n    classAsString: 'MaterialRipple',\n    cssClass: 'mdl-js-ripple-effect',\n    widget: false\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Tabs MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {Element} element The element that will be upgraded.\n   */\nvar MaterialTabs = function MaterialTabs(element) {\n    // Stores the HTML element.\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialTabs'] = MaterialTabs;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialTabs.prototype.Constant_ = {};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialTabs.prototype.CssClasses_ = {\n    TAB_CLASS: 'mdl-tabs__tab',\n    PANEL_CLASS: 'mdl-tabs__panel',\n    ACTIVE_CLASS: 'is-active',\n    UPGRADED_CLASS: 'is-upgraded',\n    MDL_JS_RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    MDL_RIPPLE_CONTAINER: 'mdl-tabs__ripple-container',\n    MDL_RIPPLE: 'mdl-ripple',\n    MDL_JS_RIPPLE_EFFECT_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events'\n};\n/**\n   * Handle clicks to a tabs component\n   *\n   * @private\n   */\nMaterialTabs.prototype.initTabs_ = function () {\n    if (this.element_.classList.contains(this.CssClasses_.MDL_JS_RIPPLE_EFFECT)) {\n        this.element_.classList.add(this.CssClasses_.MDL_JS_RIPPLE_EFFECT_IGNORE_EVENTS);\n    }\n    // Select element tabs, document panels\n    this.tabs_ = this.element_.querySelectorAll('.' + this.CssClasses_.TAB_CLASS);\n    this.panels_ = this.element_.querySelectorAll('.' + this.CssClasses_.PANEL_CLASS);\n    // Create new tabs for each tab element\n    for (var i = 0; i < this.tabs_.length; i++) {\n        new MaterialTab(this.tabs_[i], this);\n    }\n    this.element_.classList.add(this.CssClasses_.UPGRADED_CLASS);\n};\n/**\n   * Reset tab state, dropping active classes\n   *\n   * @private\n   */\nMaterialTabs.prototype.resetTabState_ = function () {\n    for (var k = 0; k < this.tabs_.length; k++) {\n        this.tabs_[k].classList.remove(this.CssClasses_.ACTIVE_CLASS);\n    }\n};\n/**\n   * Reset panel state, droping active classes\n   *\n   * @private\n   */\nMaterialTabs.prototype.resetPanelState_ = function () {\n    for (var j = 0; j < this.panels_.length; j++) {\n        this.panels_[j].classList.remove(this.CssClasses_.ACTIVE_CLASS);\n    }\n};\n/**\n   * Initialize element.\n   */\nMaterialTabs.prototype.init = function () {\n    if (this.element_) {\n        this.initTabs_();\n    }\n};\n/**\n   * Constructor for an individual tab.\n   *\n   * @constructor\n   * @param {Element} tab The HTML element for the tab.\n   * @param {MaterialTabs} ctx The MaterialTabs object that owns the tab.\n   */\nfunction MaterialTab(tab, ctx) {\n    if (tab) {\n        if (ctx.element_.classList.contains(ctx.CssClasses_.MDL_JS_RIPPLE_EFFECT)) {\n            var rippleContainer = document.createElement('span');\n            rippleContainer.classList.add(ctx.CssClasses_.MDL_RIPPLE_CONTAINER);\n            rippleContainer.classList.add(ctx.CssClasses_.MDL_JS_RIPPLE_EFFECT);\n            var ripple = document.createElement('span');\n            ripple.classList.add(ctx.CssClasses_.MDL_RIPPLE);\n            rippleContainer.appendChild(ripple);\n            tab.appendChild(rippleContainer);\n        }\n        tab.addEventListener('click', function (e) {\n            if (tab.getAttribute('href').charAt(0) === '#') {\n                e.preventDefault();\n                var href = tab.href.split('#')[1];\n                var panel = ctx.element_.querySelector('#' + href);\n                ctx.resetTabState_();\n                ctx.resetPanelState_();\n                tab.classList.add(ctx.CssClasses_.ACTIVE_CLASS);\n                panel.classList.add(ctx.CssClasses_.ACTIVE_CLASS);\n            }\n        });\n    }\n}\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialTabs,\n    classAsString: 'MaterialTabs',\n    cssClass: 'mdl-js-tabs'\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Layout MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialLayout = function MaterialLayout(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialLayout'] = MaterialLayout;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialLayout.prototype.Constant_ = {\n    MAX_WIDTH: '(max-width: 1024px)',\n    TAB_SCROLL_PIXELS: 100,\n    RESIZE_TIMEOUT: 100,\n    MENU_ICON: '&#xE5D2;',\n    CHEVRON_LEFT: 'chevron_left',\n    CHEVRON_RIGHT: 'chevron_right'\n};\n/**\n   * Keycodes, for code readability.\n   *\n   * @enum {number}\n   * @private\n   */\nMaterialLayout.prototype.Keycodes_ = {\n    ENTER: 13,\n    ESCAPE: 27,\n    SPACE: 32\n};\n/**\n   * Modes.\n   *\n   * @enum {number}\n   * @private\n   */\nMaterialLayout.prototype.Mode_ = {\n    STANDARD: 0,\n    SEAMED: 1,\n    WATERFALL: 2,\n    SCROLL: 3\n};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialLayout.prototype.CssClasses_ = {\n    CONTAINER: 'mdl-layout__container',\n    HEADER: 'mdl-layout__header',\n    DRAWER: 'mdl-layout__drawer',\n    CONTENT: 'mdl-layout__content',\n    DRAWER_BTN: 'mdl-layout__drawer-button',\n    ICON: 'material-icons',\n    JS_RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    RIPPLE_CONTAINER: 'mdl-layout__tab-ripple-container',\n    RIPPLE: 'mdl-ripple',\n    RIPPLE_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events',\n    HEADER_SEAMED: 'mdl-layout__header--seamed',\n    HEADER_WATERFALL: 'mdl-layout__header--waterfall',\n    HEADER_SCROLL: 'mdl-layout__header--scroll',\n    FIXED_HEADER: 'mdl-layout--fixed-header',\n    OBFUSCATOR: 'mdl-layout__obfuscator',\n    TAB_BAR: 'mdl-layout__tab-bar',\n    TAB_CONTAINER: 'mdl-layout__tab-bar-container',\n    TAB: 'mdl-layout__tab',\n    TAB_BAR_BUTTON: 'mdl-layout__tab-bar-button',\n    TAB_BAR_LEFT_BUTTON: 'mdl-layout__tab-bar-left-button',\n    TAB_BAR_RIGHT_BUTTON: 'mdl-layout__tab-bar-right-button',\n    TAB_MANUAL_SWITCH: 'mdl-layout__tab-manual-switch',\n    PANEL: 'mdl-layout__tab-panel',\n    HAS_DRAWER: 'has-drawer',\n    HAS_TABS: 'has-tabs',\n    HAS_SCROLLING_HEADER: 'has-scrolling-header',\n    CASTING_SHADOW: 'is-casting-shadow',\n    IS_COMPACT: 'is-compact',\n    IS_SMALL_SCREEN: 'is-small-screen',\n    IS_DRAWER_OPEN: 'is-visible',\n    IS_ACTIVE: 'is-active',\n    IS_UPGRADED: 'is-upgraded',\n    IS_ANIMATING: 'is-animating',\n    ON_LARGE_SCREEN: 'mdl-layout--large-screen-only',\n    ON_SMALL_SCREEN: 'mdl-layout--small-screen-only'\n};\n/**\n   * Handles scrolling on the content.\n   *\n   * @private\n   */\nMaterialLayout.prototype.contentScrollHandler_ = function () {\n    if (this.header_.classList.contains(this.CssClasses_.IS_ANIMATING)) {\n        return;\n    }\n    var headerVisible = !this.element_.classList.contains(this.CssClasses_.IS_SMALL_SCREEN) || this.element_.classList.contains(this.CssClasses_.FIXED_HEADER);\n    if (this.content_.scrollTop > 0 && !this.header_.classList.contains(this.CssClasses_.IS_COMPACT)) {\n        this.header_.classList.add(this.CssClasses_.CASTING_SHADOW);\n        this.header_.classList.add(this.CssClasses_.IS_COMPACT);\n        if (headerVisible) {\n            this.header_.classList.add(this.CssClasses_.IS_ANIMATING);\n        }\n    } else if (this.content_.scrollTop <= 0 && this.header_.classList.contains(this.CssClasses_.IS_COMPACT)) {\n        this.header_.classList.remove(this.CssClasses_.CASTING_SHADOW);\n        this.header_.classList.remove(this.CssClasses_.IS_COMPACT);\n        if (headerVisible) {\n            this.header_.classList.add(this.CssClasses_.IS_ANIMATING);\n        }\n    }\n};\n/**\n   * Handles a keyboard event on the drawer.\n   *\n   * @param {Event} evt The event that fired.\n   * @private\n   */\nMaterialLayout.prototype.keyboardEventHandler_ = function (evt) {\n    // Only react when the drawer is open.\n    if (evt.keyCode === this.Keycodes_.ESCAPE && this.drawer_.classList.contains(this.CssClasses_.IS_DRAWER_OPEN)) {\n        this.toggleDrawer();\n    }\n};\n/**\n   * Handles changes in screen size.\n   *\n   * @private\n   */\nMaterialLayout.prototype.screenSizeHandler_ = function () {\n    if (this.screenSizeMediaQuery_.matches) {\n        this.element_.classList.add(this.CssClasses_.IS_SMALL_SCREEN);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_SMALL_SCREEN);\n        // Collapse drawer (if any) when moving to a large screen size.\n        if (this.drawer_) {\n            this.drawer_.classList.remove(this.CssClasses_.IS_DRAWER_OPEN);\n            this.obfuscator_.classList.remove(this.CssClasses_.IS_DRAWER_OPEN);\n        }\n    }\n};\n/**\n   * Handles events of drawer button.\n   *\n   * @param {Event} evt The event that fired.\n   * @private\n   */\nMaterialLayout.prototype.drawerToggleHandler_ = function (evt) {\n    if (evt && evt.type === 'keydown') {\n        if (evt.keyCode === this.Keycodes_.SPACE || evt.keyCode === this.Keycodes_.ENTER) {\n            // prevent scrolling in drawer nav\n            evt.preventDefault();\n        } else {\n            // prevent other keys\n            return;\n        }\n    }\n    this.toggleDrawer();\n};\n/**\n   * Handles (un)setting the `is-animating` class\n   *\n   * @private\n   */\nMaterialLayout.prototype.headerTransitionEndHandler_ = function () {\n    this.header_.classList.remove(this.CssClasses_.IS_ANIMATING);\n};\n/**\n   * Handles expanding the header on click\n   *\n   * @private\n   */\nMaterialLayout.prototype.headerClickHandler_ = function () {\n    if (this.header_.classList.contains(this.CssClasses_.IS_COMPACT)) {\n        this.header_.classList.remove(this.CssClasses_.IS_COMPACT);\n        this.header_.classList.add(this.CssClasses_.IS_ANIMATING);\n    }\n};\n/**\n   * Reset tab state, dropping active classes\n   *\n   * @private\n   */\nMaterialLayout.prototype.resetTabState_ = function (tabBar) {\n    for (var k = 0; k < tabBar.length; k++) {\n        tabBar[k].classList.remove(this.CssClasses_.IS_ACTIVE);\n    }\n};\n/**\n   * Reset panel state, droping active classes\n   *\n   * @private\n   */\nMaterialLayout.prototype.resetPanelState_ = function (panels) {\n    for (var j = 0; j < panels.length; j++) {\n        panels[j].classList.remove(this.CssClasses_.IS_ACTIVE);\n    }\n};\n/**\n  * Toggle drawer state\n  *\n  * @public\n  */\nMaterialLayout.prototype.toggleDrawer = function () {\n    var drawerButton = this.element_.querySelector('.' + this.CssClasses_.DRAWER_BTN);\n    this.drawer_.classList.toggle(this.CssClasses_.IS_DRAWER_OPEN);\n    this.obfuscator_.classList.toggle(this.CssClasses_.IS_DRAWER_OPEN);\n    // Set accessibility properties.\n    if (this.drawer_.classList.contains(this.CssClasses_.IS_DRAWER_OPEN)) {\n        this.drawer_.setAttribute('aria-hidden', 'false');\n        drawerButton.setAttribute('aria-expanded', 'true');\n    } else {\n        this.drawer_.setAttribute('aria-hidden', 'true');\n        drawerButton.setAttribute('aria-expanded', 'false');\n    }\n};\nMaterialLayout.prototype['toggleDrawer'] = MaterialLayout.prototype.toggleDrawer;\n/**\n   * Initialize element.\n   */\nMaterialLayout.prototype.init = function () {\n    if (this.element_) {\n        var container = document.createElement('div');\n        container.classList.add(this.CssClasses_.CONTAINER);\n        var focusedElement = this.element_.querySelector(':focus');\n        this.element_.parentElement.insertBefore(container, this.element_);\n        this.element_.parentElement.removeChild(this.element_);\n        container.appendChild(this.element_);\n        if (focusedElement) {\n            focusedElement.focus();\n        }\n        var directChildren = this.element_.childNodes;\n        var numChildren = directChildren.length;\n        for (var c = 0; c < numChildren; c++) {\n            var child = directChildren[c];\n            if (child.classList && child.classList.contains(this.CssClasses_.HEADER)) {\n                this.header_ = child;\n            }\n            if (child.classList && child.classList.contains(this.CssClasses_.DRAWER)) {\n                this.drawer_ = child;\n            }\n            if (child.classList && child.classList.contains(this.CssClasses_.CONTENT)) {\n                this.content_ = child;\n            }\n        }\n        window.addEventListener('pageshow', function (e) {\n            if (e.persisted) {\n                // when page is loaded from back/forward cache\n                // trigger repaint to let layout scroll in safari\n                this.element_.style.overflowY = 'hidden';\n                requestAnimationFrame(function () {\n                    this.element_.style.overflowY = '';\n                }.bind(this));\n            }\n        }.bind(this), false);\n        if (this.header_) {\n            this.tabBar_ = this.header_.querySelector('.' + this.CssClasses_.TAB_BAR);\n        }\n        var mode = this.Mode_.STANDARD;\n        if (this.header_) {\n            if (this.header_.classList.contains(this.CssClasses_.HEADER_SEAMED)) {\n                mode = this.Mode_.SEAMED;\n            } else if (this.header_.classList.contains(this.CssClasses_.HEADER_WATERFALL)) {\n                mode = this.Mode_.WATERFALL;\n                this.header_.addEventListener('transitionend', this.headerTransitionEndHandler_.bind(this));\n                this.header_.addEventListener('click', this.headerClickHandler_.bind(this));\n            } else if (this.header_.classList.contains(this.CssClasses_.HEADER_SCROLL)) {\n                mode = this.Mode_.SCROLL;\n                container.classList.add(this.CssClasses_.HAS_SCROLLING_HEADER);\n            }\n            if (mode === this.Mode_.STANDARD) {\n                this.header_.classList.add(this.CssClasses_.CASTING_SHADOW);\n                if (this.tabBar_) {\n                    this.tabBar_.classList.add(this.CssClasses_.CASTING_SHADOW);\n                }\n            } else if (mode === this.Mode_.SEAMED || mode === this.Mode_.SCROLL) {\n                this.header_.classList.remove(this.CssClasses_.CASTING_SHADOW);\n                if (this.tabBar_) {\n                    this.tabBar_.classList.remove(this.CssClasses_.CASTING_SHADOW);\n                }\n            } else if (mode === this.Mode_.WATERFALL) {\n                // Add and remove shadows depending on scroll position.\n                // Also add/remove auxiliary class for styling of the compact version of\n                // the header.\n                this.content_.addEventListener('scroll', this.contentScrollHandler_.bind(this));\n                this.contentScrollHandler_();\n            }\n        }\n        // Add drawer toggling button to our layout, if we have an openable drawer.\n        if (this.drawer_) {\n            var drawerButton = this.element_.querySelector('.' + this.CssClasses_.DRAWER_BTN);\n            if (!drawerButton) {\n                drawerButton = document.createElement('div');\n                drawerButton.setAttribute('aria-expanded', 'false');\n                drawerButton.setAttribute('role', 'button');\n                drawerButton.setAttribute('tabindex', '0');\n                drawerButton.classList.add(this.CssClasses_.DRAWER_BTN);\n                var drawerButtonIcon = document.createElement('i');\n                drawerButtonIcon.classList.add(this.CssClasses_.ICON);\n                drawerButtonIcon.innerHTML = this.Constant_.MENU_ICON;\n                drawerButton.appendChild(drawerButtonIcon);\n            }\n            if (this.drawer_.classList.contains(this.CssClasses_.ON_LARGE_SCREEN)) {\n                //If drawer has ON_LARGE_SCREEN class then add it to the drawer toggle button as well.\n                drawerButton.classList.add(this.CssClasses_.ON_LARGE_SCREEN);\n            } else if (this.drawer_.classList.contains(this.CssClasses_.ON_SMALL_SCREEN)) {\n                //If drawer has ON_SMALL_SCREEN class then add it to the drawer toggle button as well.\n                drawerButton.classList.add(this.CssClasses_.ON_SMALL_SCREEN);\n            }\n            drawerButton.addEventListener('click', this.drawerToggleHandler_.bind(this));\n            drawerButton.addEventListener('keydown', this.drawerToggleHandler_.bind(this));\n            // Add a class if the layout has a drawer, for altering the left padding.\n            // Adds the HAS_DRAWER to the elements since this.header_ may or may\n            // not be present.\n            this.element_.classList.add(this.CssClasses_.HAS_DRAWER);\n            // If we have a fixed header, add the button to the header rather than\n            // the layout.\n            if (this.element_.classList.contains(this.CssClasses_.FIXED_HEADER)) {\n                this.header_.insertBefore(drawerButton, this.header_.firstChild);\n            } else {\n                this.element_.insertBefore(drawerButton, this.content_);\n            }\n            var obfuscator = document.createElement('div');\n            obfuscator.classList.add(this.CssClasses_.OBFUSCATOR);\n            this.element_.appendChild(obfuscator);\n            obfuscator.addEventListener('click', this.drawerToggleHandler_.bind(this));\n            this.obfuscator_ = obfuscator;\n            this.drawer_.addEventListener('keydown', this.keyboardEventHandler_.bind(this));\n            this.drawer_.setAttribute('aria-hidden', 'true');\n        }\n        // Keep an eye on screen size, and add/remove auxiliary class for styling\n        // of small screens.\n        this.screenSizeMediaQuery_ = window.matchMedia(this.Constant_.MAX_WIDTH);\n        this.screenSizeMediaQuery_.addListener(this.screenSizeHandler_.bind(this));\n        this.screenSizeHandler_();\n        // Initialize tabs, if any.\n        if (this.header_ && this.tabBar_) {\n            this.element_.classList.add(this.CssClasses_.HAS_TABS);\n            var tabContainer = document.createElement('div');\n            tabContainer.classList.add(this.CssClasses_.TAB_CONTAINER);\n            this.header_.insertBefore(tabContainer, this.tabBar_);\n            this.header_.removeChild(this.tabBar_);\n            var leftButton = document.createElement('div');\n            leftButton.classList.add(this.CssClasses_.TAB_BAR_BUTTON);\n            leftButton.classList.add(this.CssClasses_.TAB_BAR_LEFT_BUTTON);\n            var leftButtonIcon = document.createElement('i');\n            leftButtonIcon.classList.add(this.CssClasses_.ICON);\n            leftButtonIcon.textContent = this.Constant_.CHEVRON_LEFT;\n            leftButton.appendChild(leftButtonIcon);\n            leftButton.addEventListener('click', function () {\n                this.tabBar_.scrollLeft -= this.Constant_.TAB_SCROLL_PIXELS;\n            }.bind(this));\n            var rightButton = document.createElement('div');\n            rightButton.classList.add(this.CssClasses_.TAB_BAR_BUTTON);\n            rightButton.classList.add(this.CssClasses_.TAB_BAR_RIGHT_BUTTON);\n            var rightButtonIcon = document.createElement('i');\n            rightButtonIcon.classList.add(this.CssClasses_.ICON);\n            rightButtonIcon.textContent = this.Constant_.CHEVRON_RIGHT;\n            rightButton.appendChild(rightButtonIcon);\n            rightButton.addEventListener('click', function () {\n                this.tabBar_.scrollLeft += this.Constant_.TAB_SCROLL_PIXELS;\n            }.bind(this));\n            tabContainer.appendChild(leftButton);\n            tabContainer.appendChild(this.tabBar_);\n            tabContainer.appendChild(rightButton);\n            // Add and remove tab buttons depending on scroll position and total\n            // window size.\n            var tabUpdateHandler = function () {\n                if (this.tabBar_.scrollLeft > 0) {\n                    leftButton.classList.add(this.CssClasses_.IS_ACTIVE);\n                } else {\n                    leftButton.classList.remove(this.CssClasses_.IS_ACTIVE);\n                }\n                if (this.tabBar_.scrollLeft < this.tabBar_.scrollWidth - this.tabBar_.offsetWidth) {\n                    rightButton.classList.add(this.CssClasses_.IS_ACTIVE);\n                } else {\n                    rightButton.classList.remove(this.CssClasses_.IS_ACTIVE);\n                }\n            }.bind(this);\n            this.tabBar_.addEventListener('scroll', tabUpdateHandler);\n            tabUpdateHandler();\n            // Update tabs when the window resizes.\n            var windowResizeHandler = function () {\n                // Use timeouts to make sure it doesn't happen too often.\n                if (this.resizeTimeoutId_) {\n                    clearTimeout(this.resizeTimeoutId_);\n                }\n                this.resizeTimeoutId_ = setTimeout(function () {\n                    tabUpdateHandler();\n                    this.resizeTimeoutId_ = null;\n                }.bind(this), this.Constant_.RESIZE_TIMEOUT);\n            }.bind(this);\n            window.addEventListener('resize', windowResizeHandler);\n            if (this.tabBar_.classList.contains(this.CssClasses_.JS_RIPPLE_EFFECT)) {\n                this.tabBar_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS);\n            }\n            // Select element tabs, document panels\n            var tabs = this.tabBar_.querySelectorAll('.' + this.CssClasses_.TAB);\n            var panels = this.content_.querySelectorAll('.' + this.CssClasses_.PANEL);\n            // Create new tabs for each tab element\n            for (var i = 0; i < tabs.length; i++) {\n                new MaterialLayoutTab(tabs[i], tabs, panels, this);\n            }\n        }\n        this.element_.classList.add(this.CssClasses_.IS_UPGRADED);\n    }\n};\n/**\n   * Constructor for an individual tab.\n   *\n   * @constructor\n   * @param {HTMLElement} tab The HTML element for the tab.\n   * @param {!Array<HTMLElement>} tabs Array with HTML elements for all tabs.\n   * @param {!Array<HTMLElement>} panels Array with HTML elements for all panels.\n   * @param {MaterialLayout} layout The MaterialLayout object that owns the tab.\n   */\nfunction MaterialLayoutTab(tab, tabs, panels, layout) {\n    /**\n     * Auxiliary method to programmatically select a tab in the UI.\n     */\n    function selectTab() {\n        var href = tab.href.split('#')[1];\n        var panel = layout.content_.querySelector('#' + href);\n        layout.resetTabState_(tabs);\n        layout.resetPanelState_(panels);\n        tab.classList.add(layout.CssClasses_.IS_ACTIVE);\n        panel.classList.add(layout.CssClasses_.IS_ACTIVE);\n    }\n    if (layout.tabBar_.classList.contains(layout.CssClasses_.JS_RIPPLE_EFFECT)) {\n        var rippleContainer = document.createElement('span');\n        rippleContainer.classList.add(layout.CssClasses_.RIPPLE_CONTAINER);\n        rippleContainer.classList.add(layout.CssClasses_.JS_RIPPLE_EFFECT);\n        var ripple = document.createElement('span');\n        ripple.classList.add(layout.CssClasses_.RIPPLE);\n        rippleContainer.appendChild(ripple);\n        tab.appendChild(rippleContainer);\n    }\n    if (!layout.tabBar_.classList.contains(layout.CssClasses_.TAB_MANUAL_SWITCH)) {\n        tab.addEventListener('click', function (e) {\n            if (tab.getAttribute('href').charAt(0) === '#') {\n                e.preventDefault();\n                selectTab();\n            }\n        });\n    }\n    tab.show = selectTab;\n}\nwindow['MaterialLayoutTab'] = MaterialLayoutTab;\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialLayout,\n    classAsString: 'MaterialLayout',\n    cssClass: 'mdl-js-layout'\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n/**\n * A component handler interface using the revealing module design pattern.\n * More details on this design pattern here:\n * https://github.com/jasonmayes/mdl-component-design-pattern\n *\n * @author Jason Mayes.\n */\n/* exported componentHandler */\n\n// Pre-defining the componentHandler interface, for closure documentation and\n// static verification.\nvar componentHandler = {\n  /**\n   * Searches existing DOM for elements of our component type and upgrades them\n   * if they have not already been upgraded.\n   *\n   * @param {string=} optJsClass the programatic name of the element class we\n   * need to create a new instance of.\n   * @param {string=} optCssClass the name of the CSS class elements of this\n   * type will have.\n   */\n  upgradeDom: function(optJsClass, optCssClass) {},\n  /**\n   * Upgrades a specific element rather than all in the DOM.\n   *\n   * @param {!Element} element The element we wish to upgrade.\n   * @param {string=} optJsClass Optional name of the class we want to upgrade\n   * the element to.\n   */\n  upgradeElement: function(element, optJsClass) {},\n  /**\n   * Upgrades a specific list of elements rather than all in the DOM.\n   *\n   * @param {!Element|!Array<!Element>|!NodeList|!HTMLCollection} elements\n   * The elements we wish to upgrade.\n   */\n  upgradeElements: function(elements) {},\n  /**\n   * Upgrades all registered components found in the current DOM. This is\n   * automatically called on window load.\n   */\n  upgradeAllRegistered: function() {},\n  /**\n   * Allows user to be alerted to any upgrades that are performed for a given\n   * component type\n   *\n   * @param {string} jsClass The class name of the MDL component we wish\n   * to hook into for any upgrades performed.\n   * @param {function(!HTMLElement)} callback The function to call upon an\n   * upgrade. This function should expect 1 parameter - the HTMLElement which\n   * got upgraded.\n   */\n  registerUpgradedCallback: function(jsClass, callback) {},\n  /**\n   * Registers a class for future use and attempts to upgrade existing DOM.\n   *\n   * @param {componentHandler.ComponentConfigPublic} config the registration configuration\n   */\n  register: function(config) {},\n  /**\n   * Downgrade either a given node, an array of nodes, or a NodeList.\n   *\n   * @param {!Node|!Array<!Node>|!NodeList} nodes\n   */\n  downgradeElements: function(nodes) {}\n};\n\ncomponentHandler = (function() {\n  'use strict';\n\n  /** @type {!Array<componentHandler.ComponentConfig>} */\n  var registeredComponents_ = [];\n\n  /** @type {!Array<componentHandler.Component>} */\n  var createdComponents_ = [];\n\n  var componentConfigProperty_ = 'mdlComponentConfigInternal_';\n\n  /**\n   * Searches registered components for a class we are interested in using.\n   * Optionally replaces a match with passed object if specified.\n   *\n   * @param {string} name The name of a class we want to use.\n   * @param {componentHandler.ComponentConfig=} optReplace Optional object to replace match with.\n   * @return {!Object|boolean}\n   * @private\n   */\n  function findRegisteredClass_(name, optReplace) {\n    for (var i = 0; i < registeredComponents_.length; i++) {\n      if (registeredComponents_[i].className === name) {\n        if (typeof optReplace !== 'undefined') {\n          registeredComponents_[i] = optReplace;\n        }\n        return registeredComponents_[i];\n      }\n    }\n    return false;\n  }\n\n  /**\n   * Returns an array of the classNames of the upgraded classes on the element.\n   *\n   * @param {!Element} element The element to fetch data from.\n   * @return {!Array<string>}\n   * @private\n   */\n  function getUpgradedListOfElement_(element) {\n    var dataUpgraded = element.getAttribute('data-upgraded');\n    // Use `['']` as default value to conform the `,name,name...` style.\n    return dataUpgraded === null ? [''] : dataUpgraded.split(',');\n  }\n\n  /**\n   * Returns true if the given element has already been upgraded for the given\n   * class.\n   *\n   * @param {!Element} element The element we want to check.\n   * @param {string} jsClass The class to check for.\n   * @returns {boolean}\n   * @private\n   */\n  function isElementUpgraded_(element, jsClass) {\n    var upgradedList = getUpgradedListOfElement_(element);\n    return upgradedList.indexOf(jsClass) !== -1;\n  }\n\n  /**\n   * Create an event object.\n   *\n   * @param {string} eventType The type name of the event.\n   * @param {boolean} bubbles Whether the event should bubble up the DOM.\n   * @param {boolean} cancelable Whether the event can be canceled.\n   * @returns {!Event}\n   */\n  function createEvent_(eventType, bubbles, cancelable) {\n    if ('CustomEvent' in window && typeof window.CustomEvent === 'function') {\n      return new CustomEvent(eventType, {\n        bubbles: bubbles,\n        cancelable: cancelable\n      });\n    } else {\n      var ev = document.createEvent('Events');\n      ev.initEvent(eventType, bubbles, cancelable);\n      return ev;\n    }\n  }\n\n  /**\n   * Searches existing DOM for elements of our component type and upgrades them\n   * if they have not already been upgraded.\n   *\n   * @param {string=} optJsClass the programatic name of the element class we\n   * need to create a new instance of.\n   * @param {string=} optCssClass the name of the CSS class elements of this\n   * type will have.\n   */\n  function upgradeDomInternal(optJsClass, optCssClass) {\n    if (typeof optJsClass === 'undefined' &&\n        typeof optCssClass === 'undefined') {\n      for (var i = 0; i < registeredComponents_.length; i++) {\n        upgradeDomInternal(registeredComponents_[i].className,\n            registeredComponents_[i].cssClass);\n      }\n    } else {\n      var jsClass = /** @type {string} */ (optJsClass);\n      if (typeof optCssClass === 'undefined') {\n        var registeredClass = findRegisteredClass_(jsClass);\n        if (registeredClass) {\n          optCssClass = registeredClass.cssClass;\n        }\n      }\n\n      var elements = document.querySelectorAll('.' + optCssClass);\n      for (var n = 0; n < elements.length; n++) {\n        upgradeElementInternal(elements[n], jsClass);\n      }\n    }\n  }\n\n  /**\n   * Upgrades a specific element rather than all in the DOM.\n   *\n   * @param {!Element} element The element we wish to upgrade.\n   * @param {string=} optJsClass Optional name of the class we want to upgrade\n   * the element to.\n   */\n  function upgradeElementInternal(element, optJsClass) {\n    // Verify argument type.\n    if (!(typeof element === 'object' && element instanceof Element)) {\n      throw new Error('Invalid argument provided to upgrade MDL element.');\n    }\n    // Allow upgrade to be canceled by canceling emitted event.\n    var upgradingEv = createEvent_('mdl-componentupgrading', true, true);\n    element.dispatchEvent(upgradingEv);\n    if (upgradingEv.defaultPrevented) {\n      return;\n    }\n\n    var upgradedList = getUpgradedListOfElement_(element);\n    var classesToUpgrade = [];\n    // If jsClass is not provided scan the registered components to find the\n    // ones matching the element's CSS classList.\n    if (!optJsClass) {\n      var classList = element.classList;\n      registeredComponents_.forEach(function(component) {\n        // Match CSS & Not to be upgraded & Not upgraded.\n        if (classList.contains(component.cssClass) &&\n            classesToUpgrade.indexOf(component) === -1 &&\n            !isElementUpgraded_(element, component.className)) {\n          classesToUpgrade.push(component);\n        }\n      });\n    } else if (!isElementUpgraded_(element, optJsClass)) {\n      classesToUpgrade.push(findRegisteredClass_(optJsClass));\n    }\n\n    // Upgrade the element for each classes.\n    for (var i = 0, n = classesToUpgrade.length, registeredClass; i < n; i++) {\n      registeredClass = classesToUpgrade[i];\n      if (registeredClass) {\n        // Mark element as upgraded.\n        upgradedList.push(registeredClass.className);\n        element.setAttribute('data-upgraded', upgradedList.join(','));\n        var instance = new registeredClass.classConstructor(element);\n        instance[componentConfigProperty_] = registeredClass;\n        createdComponents_.push(instance);\n        // Call any callbacks the user has registered with this component type.\n        for (var j = 0, m = registeredClass.callbacks.length; j < m; j++) {\n          registeredClass.callbacks[j](element);\n        }\n\n        if (registeredClass.widget) {\n          // Assign per element instance for control over API\n          element[registeredClass.className] = instance;\n        }\n      } else {\n        throw new Error(\n          'Unable to find a registered component for the given class.');\n      }\n\n      var upgradedEv = createEvent_('mdl-componentupgraded', true, false);\n      element.dispatchEvent(upgradedEv);\n    }\n  }\n\n  /**\n   * Upgrades a specific list of elements rather than all in the DOM.\n   *\n   * @param {!Element|!Array<!Element>|!NodeList|!HTMLCollection} elements\n   * The elements we wish to upgrade.\n   */\n  function upgradeElementsInternal(elements) {\n    if (!Array.isArray(elements)) {\n      if (elements instanceof Element) {\n        elements = [elements];\n      } else {\n        elements = Array.prototype.slice.call(elements);\n      }\n    }\n    for (var i = 0, n = elements.length, element; i < n; i++) {\n      element = elements[i];\n      if (element instanceof HTMLElement) {\n        upgradeElementInternal(element);\n        if (element.children.length > 0) {\n          upgradeElementsInternal(element.children);\n        }\n      }\n    }\n  }\n\n  /**\n   * Registers a class for future use and attempts to upgrade existing DOM.\n   *\n   * @param {componentHandler.ComponentConfigPublic} config\n   */\n  function registerInternal(config) {\n    // In order to support both Closure-compiled and uncompiled code accessing\n    // this method, we need to allow for both the dot and array syntax for\n    // property access. You'll therefore see the `foo.bar || foo['bar']`\n    // pattern repeated across this method.\n    var widgetMissing = (typeof config.widget === 'undefined' &&\n        typeof config['widget'] === 'undefined');\n    var widget = true;\n\n    if (!widgetMissing) {\n      widget = config.widget || config['widget'];\n    }\n\n    var newConfig = /** @type {componentHandler.ComponentConfig} */ ({\n      classConstructor: config.constructor || config['constructor'],\n      className: config.classAsString || config['classAsString'],\n      cssClass: config.cssClass || config['cssClass'],\n      widget: widget,\n      callbacks: []\n    });\n\n    registeredComponents_.forEach(function(item) {\n      if (item.cssClass === newConfig.cssClass) {\n        throw new Error('The provided cssClass has already been registered: ' + item.cssClass);\n      }\n      if (item.className === newConfig.className) {\n        throw new Error('The provided className has already been registered');\n      }\n    });\n\n    if (config.constructor.prototype\n        .hasOwnProperty(componentConfigProperty_)) {\n      throw new Error(\n          'MDL component classes must not have ' + componentConfigProperty_ +\n          ' defined as a property.');\n    }\n\n    var found = findRegisteredClass_(config.classAsString, newConfig);\n\n    if (!found) {\n      registeredComponents_.push(newConfig);\n    }\n  }\n\n  /**\n   * Allows user to be alerted to any upgrades that are performed for a given\n   * component type\n   *\n   * @param {string} jsClass The class name of the MDL component we wish\n   * to hook into for any upgrades performed.\n   * @param {function(!HTMLElement)} callback The function to call upon an\n   * upgrade. This function should expect 1 parameter - the HTMLElement which\n   * got upgraded.\n   */\n  function registerUpgradedCallbackInternal(jsClass, callback) {\n    var regClass = findRegisteredClass_(jsClass);\n    if (regClass) {\n      regClass.callbacks.push(callback);\n    }\n  }\n\n  /**\n   * Upgrades all registered components found in the current DOM. This is\n   * automatically called on window load.\n   */\n  function upgradeAllRegisteredInternal() {\n    for (var n = 0; n < registeredComponents_.length; n++) {\n      upgradeDomInternal(registeredComponents_[n].className);\n    }\n  }\n\n  /**\n   * Check the component for the downgrade method.\n   * Execute if found.\n   * Remove component from createdComponents list.\n   *\n   * @param {?componentHandler.Component} component\n   */\n  function deconstructComponentInternal(component) {\n    if (component) {\n      var componentIndex = createdComponents_.indexOf(component);\n      createdComponents_.splice(componentIndex, 1);\n\n      var upgrades = component.element_.getAttribute('data-upgraded').split(',');\n      var componentPlace = upgrades.indexOf(component[componentConfigProperty_].classAsString);\n      upgrades.splice(componentPlace, 1);\n      component.element_.setAttribute('data-upgraded', upgrades.join(','));\n\n      var ev = createEvent_('mdl-componentdowngraded', true, false);\n      component.element_.dispatchEvent(ev);\n    }\n  }\n\n  /**\n   * Downgrade either a given node, an array of nodes, or a NodeList.\n   *\n   * @param {!Node|!Array<!Node>|!NodeList} nodes\n   */\n  function downgradeNodesInternal(nodes) {\n    /**\n     * Auxiliary function to downgrade a single node.\n     * @param  {!Node} node the node to be downgraded\n     */\n    var downgradeNode = function(node) {\n      createdComponents_.filter(function(item) {\n        return item.element_ === node;\n      }).forEach(deconstructComponentInternal);\n    };\n    if (nodes instanceof Array || nodes instanceof NodeList) {\n      for (var n = 0; n < nodes.length; n++) {\n        downgradeNode(nodes[n]);\n      }\n    } else if (nodes instanceof Node) {\n      downgradeNode(nodes);\n    } else {\n      throw new Error('Invalid argument provided to downgrade MDL nodes.');\n    }\n  }\n\n  // Now return the functions that should be made public with their publicly\n  // facing names...\n  return {\n    upgradeDom: upgradeDomInternal,\n    upgradeElement: upgradeElementInternal,\n    upgradeElements: upgradeElementsInternal,\n    upgradeAllRegistered: upgradeAllRegisteredInternal,\n    registerUpgradedCallback: registerUpgradedCallbackInternal,\n    register: registerInternal,\n    downgradeElements: downgradeNodesInternal\n  };\n})();\n\n/**\n * Describes the type of a registered component type managed by\n * componentHandler. Provided for benefit of the Closure compiler.\n *\n * @typedef {{\n *   constructor: Function,\n *   classAsString: string,\n *   cssClass: string,\n *   widget: (string|boolean|undefined)\n * }}\n */\ncomponentHandler.ComponentConfigPublic;  // jshint ignore:line\n\n/**\n * Describes the type of a registered component type managed by\n * componentHandler. Provided for benefit of the Closure compiler.\n *\n * @typedef {{\n *   constructor: !Function,\n *   className: string,\n *   cssClass: string,\n *   widget: (string|boolean),\n *   callbacks: !Array<function(!HTMLElement)>\n * }}\n */\ncomponentHandler.ComponentConfig;  // jshint ignore:line\n\n/**\n * Created component (i.e., upgraded element) type as managed by\n * componentHandler. Provided for benefit of the Closure compiler.\n *\n * @typedef {{\n *   element_: !HTMLElement,\n *   className: string,\n *   classAsString: string,\n *   cssClass: string,\n *   widget: string\n * }}\n */\ncomponentHandler.Component;  // jshint ignore:line\n\n// Export all symbols, for the benefit of Closure compiler.\n// No effect on uncompiled code.\ncomponentHandler['upgradeDom'] = componentHandler.upgradeDom;\ncomponentHandler['upgradeElement'] = componentHandler.upgradeElement;\ncomponentHandler['upgradeElements'] = componentHandler.upgradeElements;\ncomponentHandler['upgradeAllRegistered'] =\n    componentHandler.upgradeAllRegistered;\ncomponentHandler['registerUpgradedCallback'] =\n    componentHandler.registerUpgradedCallback;\ncomponentHandler['register'] = componentHandler.register;\ncomponentHandler['downgradeElements'] = componentHandler.downgradeElements;\nwindow.componentHandler = componentHandler;\nwindow['componentHandler'] = componentHandler;\n\nwindow.addEventListener('load', function() {\n  'use strict';\n\n  /**\n   * Performs a \"Cutting the mustard\" test. If the browser supports the features\n   * tested, adds a mdl-js class to the <html> element. It then upgrades all MDL\n   * components requiring JavaScript.\n   */\n  if ('classList' in document.createElement('div') &&\n      'querySelector' in document &&\n      'addEventListener' in window && Array.prototype.forEach) {\n    document.documentElement.classList.add('mdl-js');\n    componentHandler.upgradeAllRegistered();\n  } else {\n    /**\n     * Dummy function to avoid JS errors.\n     */\n    componentHandler.upgradeElement = function() {};\n    /**\n     * Dummy function to avoid JS errors.\n     */\n    componentHandler.register = function() {};\n  }\n});\n","// Source: https://github.com/darius/requestAnimationFrame/blob/master/requestAnimationFrame.js\n// Adapted from https://gist.github.com/paulirish/1579671 which derived from\n// http://paulirish.com/2011/requestanimationframe-for-smart-animating/\n// http://my.opera.com/emoller/blog/2011/12/20/requestanimationframe-for-smart-er-animating\n// requestAnimationFrame polyfill by Erik Möller.\n// Fixes from Paul Irish, Tino Zijdel, Andrew Mao, Klemen Slavič, Darius Bacon\n// MIT license\nif (!Date.now) {\n    /**\n     * Date.now polyfill.\n     * @return {number} the current Date\n     */\n    Date.now = function () {\n        return new Date().getTime();\n    };\n    Date['now'] = Date.now;\n}\nvar vendors = [\n    'webkit',\n    'moz'\n];\nfor (var i = 0; i < vendors.length && !window.requestAnimationFrame; ++i) {\n    var vp = vendors[i];\n    window.requestAnimationFrame = window[vp + 'RequestAnimationFrame'];\n    window.cancelAnimationFrame = window[vp + 'CancelAnimationFrame'] || window[vp + 'CancelRequestAnimationFrame'];\n    window['requestAnimationFrame'] = window.requestAnimationFrame;\n    window['cancelAnimationFrame'] = window.cancelAnimationFrame;\n}\nif (/iP(ad|hone|od).*OS 6/.test(window.navigator.userAgent) || !window.requestAnimationFrame || !window.cancelAnimationFrame) {\n    var lastTime = 0;\n    /**\n     * requestAnimationFrame polyfill.\n     * @param  {!Function} callback the callback function.\n     */\n    window.requestAnimationFrame = function (callback) {\n        var now = Date.now();\n        var nextTime = Math.max(lastTime + 16, now);\n        return setTimeout(function () {\n            callback(lastTime = nextTime);\n        }, nextTime - now);\n    };\n    window.cancelAnimationFrame = clearTimeout;\n    window['requestAnimationFrame'] = window.requestAnimationFrame;\n    window['cancelAnimationFrame'] = window.cancelAnimationFrame;\n}","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Button MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialButton = function MaterialButton(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialButton'] = MaterialButton;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialButton.prototype.Constant_ = {};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialButton.prototype.CssClasses_ = {\n    RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    RIPPLE_CONTAINER: 'mdl-button__ripple-container',\n    RIPPLE: 'mdl-ripple'\n};\n/**\n   * Handle blur of element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialButton.prototype.blurHandler_ = function (event) {\n    if (event) {\n        this.element_.blur();\n    }\n};\n// Public methods.\n/**\n   * Disable button.\n   *\n   * @public\n   */\nMaterialButton.prototype.disable = function () {\n    this.element_.disabled = true;\n};\nMaterialButton.prototype['disable'] = MaterialButton.prototype.disable;\n/**\n   * Enable button.\n   *\n   * @public\n   */\nMaterialButton.prototype.enable = function () {\n    this.element_.disabled = false;\n};\nMaterialButton.prototype['enable'] = MaterialButton.prototype.enable;\n/**\n   * Initialize element.\n   */\nMaterialButton.prototype.init = function () {\n    if (this.element_) {\n        if (this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT)) {\n            var rippleContainer = document.createElement('span');\n            rippleContainer.classList.add(this.CssClasses_.RIPPLE_CONTAINER);\n            this.rippleElement_ = document.createElement('span');\n            this.rippleElement_.classList.add(this.CssClasses_.RIPPLE);\n            rippleContainer.appendChild(this.rippleElement_);\n            this.boundRippleBlurHandler = this.blurHandler_.bind(this);\n            this.rippleElement_.addEventListener('mouseup', this.boundRippleBlurHandler);\n            this.element_.appendChild(rippleContainer);\n        }\n        this.boundButtonBlurHandler = this.blurHandler_.bind(this);\n        this.element_.addEventListener('mouseup', this.boundButtonBlurHandler);\n        this.element_.addEventListener('mouseleave', this.boundButtonBlurHandler);\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialButton,\n    classAsString: 'MaterialButton',\n    cssClass: 'mdl-js-button',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Checkbox MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialCheckbox = function MaterialCheckbox(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialCheckbox'] = MaterialCheckbox;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialCheckbox.prototype.Constant_ = { TINY_TIMEOUT: 0.001 };\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialCheckbox.prototype.CssClasses_ = {\n    INPUT: 'mdl-checkbox__input',\n    BOX_OUTLINE: 'mdl-checkbox__box-outline',\n    FOCUS_HELPER: 'mdl-checkbox__focus-helper',\n    TICK_OUTLINE: 'mdl-checkbox__tick-outline',\n    RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    RIPPLE_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events',\n    RIPPLE_CONTAINER: 'mdl-checkbox__ripple-container',\n    RIPPLE_CENTER: 'mdl-ripple--center',\n    RIPPLE: 'mdl-ripple',\n    IS_FOCUSED: 'is-focused',\n    IS_DISABLED: 'is-disabled',\n    IS_CHECKED: 'is-checked',\n    IS_UPGRADED: 'is-upgraded'\n};\n/**\n   * Handle change of state.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialCheckbox.prototype.onChange_ = function (event) {\n    this.updateClasses_();\n};\n/**\n   * Handle focus of element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialCheckbox.prototype.onFocus_ = function (event) {\n    this.element_.classList.add(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle lost focus of element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialCheckbox.prototype.onBlur_ = function (event) {\n    this.element_.classList.remove(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle mouseup.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialCheckbox.prototype.onMouseUp_ = function (event) {\n    this.blur_();\n};\n/**\n   * Handle class updates.\n   *\n   * @private\n   */\nMaterialCheckbox.prototype.updateClasses_ = function () {\n    this.checkDisabled();\n    this.checkToggleState();\n};\n/**\n   * Add blur.\n   *\n   * @private\n   */\nMaterialCheckbox.prototype.blur_ = function () {\n    // TODO: figure out why there's a focus event being fired after our blur,\n    // so that we can avoid this hack.\n    window.setTimeout(function () {\n        this.inputElement_.blur();\n    }.bind(this), this.Constant_.TINY_TIMEOUT);\n};\n// Public methods.\n/**\n   * Check the inputs toggle state and update display.\n   *\n   * @public\n   */\nMaterialCheckbox.prototype.checkToggleState = function () {\n    if (this.inputElement_.checked) {\n        this.element_.classList.add(this.CssClasses_.IS_CHECKED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_CHECKED);\n    }\n};\nMaterialCheckbox.prototype['checkToggleState'] = MaterialCheckbox.prototype.checkToggleState;\n/**\n   * Check the inputs disabled state and update display.\n   *\n   * @public\n   */\nMaterialCheckbox.prototype.checkDisabled = function () {\n    if (this.inputElement_.disabled) {\n        this.element_.classList.add(this.CssClasses_.IS_DISABLED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_DISABLED);\n    }\n};\nMaterialCheckbox.prototype['checkDisabled'] = MaterialCheckbox.prototype.checkDisabled;\n/**\n   * Disable checkbox.\n   *\n   * @public\n   */\nMaterialCheckbox.prototype.disable = function () {\n    this.inputElement_.disabled = true;\n    this.updateClasses_();\n};\nMaterialCheckbox.prototype['disable'] = MaterialCheckbox.prototype.disable;\n/**\n   * Enable checkbox.\n   *\n   * @public\n   */\nMaterialCheckbox.prototype.enable = function () {\n    this.inputElement_.disabled = false;\n    this.updateClasses_();\n};\nMaterialCheckbox.prototype['enable'] = MaterialCheckbox.prototype.enable;\n/**\n   * Check checkbox.\n   *\n   * @public\n   */\nMaterialCheckbox.prototype.check = function () {\n    this.inputElement_.checked = true;\n    this.updateClasses_();\n};\nMaterialCheckbox.prototype['check'] = MaterialCheckbox.prototype.check;\n/**\n   * Uncheck checkbox.\n   *\n   * @public\n   */\nMaterialCheckbox.prototype.uncheck = function () {\n    this.inputElement_.checked = false;\n    this.updateClasses_();\n};\nMaterialCheckbox.prototype['uncheck'] = MaterialCheckbox.prototype.uncheck;\n/**\n   * Initialize element.\n   */\nMaterialCheckbox.prototype.init = function () {\n    if (this.element_) {\n        this.inputElement_ = this.element_.querySelector('.' + this.CssClasses_.INPUT);\n        var boxOutline = document.createElement('span');\n        boxOutline.classList.add(this.CssClasses_.BOX_OUTLINE);\n        var tickContainer = document.createElement('span');\n        tickContainer.classList.add(this.CssClasses_.FOCUS_HELPER);\n        var tickOutline = document.createElement('span');\n        tickOutline.classList.add(this.CssClasses_.TICK_OUTLINE);\n        boxOutline.appendChild(tickOutline);\n        this.element_.appendChild(tickContainer);\n        this.element_.appendChild(boxOutline);\n        if (this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT)) {\n            this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS);\n            this.rippleContainerElement_ = document.createElement('span');\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CONTAINER);\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_EFFECT);\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CENTER);\n            this.boundRippleMouseUp = this.onMouseUp_.bind(this);\n            this.rippleContainerElement_.addEventListener('mouseup', this.boundRippleMouseUp);\n            var ripple = document.createElement('span');\n            ripple.classList.add(this.CssClasses_.RIPPLE);\n            this.rippleContainerElement_.appendChild(ripple);\n            this.element_.appendChild(this.rippleContainerElement_);\n        }\n        this.boundInputOnChange = this.onChange_.bind(this);\n        this.boundInputOnFocus = this.onFocus_.bind(this);\n        this.boundInputOnBlur = this.onBlur_.bind(this);\n        this.boundElementMouseUp = this.onMouseUp_.bind(this);\n        this.inputElement_.addEventListener('change', this.boundInputOnChange);\n        this.inputElement_.addEventListener('focus', this.boundInputOnFocus);\n        this.inputElement_.addEventListener('blur', this.boundInputOnBlur);\n        this.element_.addEventListener('mouseup', this.boundElementMouseUp);\n        this.updateClasses_();\n        this.element_.classList.add(this.CssClasses_.IS_UPGRADED);\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialCheckbox,\n    classAsString: 'MaterialCheckbox',\n    cssClass: 'mdl-js-checkbox',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for icon toggle MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialIconToggle = function MaterialIconToggle(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialIconToggle'] = MaterialIconToggle;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialIconToggle.prototype.Constant_ = { TINY_TIMEOUT: 0.001 };\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialIconToggle.prototype.CssClasses_ = {\n    INPUT: 'mdl-icon-toggle__input',\n    JS_RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    RIPPLE_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events',\n    RIPPLE_CONTAINER: 'mdl-icon-toggle__ripple-container',\n    RIPPLE_CENTER: 'mdl-ripple--center',\n    RIPPLE: 'mdl-ripple',\n    IS_FOCUSED: 'is-focused',\n    IS_DISABLED: 'is-disabled',\n    IS_CHECKED: 'is-checked'\n};\n/**\n   * Handle change of state.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialIconToggle.prototype.onChange_ = function (event) {\n    this.updateClasses_();\n};\n/**\n   * Handle focus of element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialIconToggle.prototype.onFocus_ = function (event) {\n    this.element_.classList.add(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle lost focus of element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialIconToggle.prototype.onBlur_ = function (event) {\n    this.element_.classList.remove(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle mouseup.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialIconToggle.prototype.onMouseUp_ = function (event) {\n    this.blur_();\n};\n/**\n   * Handle class updates.\n   *\n   * @private\n   */\nMaterialIconToggle.prototype.updateClasses_ = function () {\n    this.checkDisabled();\n    this.checkToggleState();\n};\n/**\n   * Add blur.\n   *\n   * @private\n   */\nMaterialIconToggle.prototype.blur_ = function () {\n    // TODO: figure out why there's a focus event being fired after our blur,\n    // so that we can avoid this hack.\n    window.setTimeout(function () {\n        this.inputElement_.blur();\n    }.bind(this), this.Constant_.TINY_TIMEOUT);\n};\n// Public methods.\n/**\n   * Check the inputs toggle state and update display.\n   *\n   * @public\n   */\nMaterialIconToggle.prototype.checkToggleState = function () {\n    if (this.inputElement_.checked) {\n        this.element_.classList.add(this.CssClasses_.IS_CHECKED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_CHECKED);\n    }\n};\nMaterialIconToggle.prototype['checkToggleState'] = MaterialIconToggle.prototype.checkToggleState;\n/**\n   * Check the inputs disabled state and update display.\n   *\n   * @public\n   */\nMaterialIconToggle.prototype.checkDisabled = function () {\n    if (this.inputElement_.disabled) {\n        this.element_.classList.add(this.CssClasses_.IS_DISABLED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_DISABLED);\n    }\n};\nMaterialIconToggle.prototype['checkDisabled'] = MaterialIconToggle.prototype.checkDisabled;\n/**\n   * Disable icon toggle.\n   *\n   * @public\n   */\nMaterialIconToggle.prototype.disable = function () {\n    this.inputElement_.disabled = true;\n    this.updateClasses_();\n};\nMaterialIconToggle.prototype['disable'] = MaterialIconToggle.prototype.disable;\n/**\n   * Enable icon toggle.\n   *\n   * @public\n   */\nMaterialIconToggle.prototype.enable = function () {\n    this.inputElement_.disabled = false;\n    this.updateClasses_();\n};\nMaterialIconToggle.prototype['enable'] = MaterialIconToggle.prototype.enable;\n/**\n   * Check icon toggle.\n   *\n   * @public\n   */\nMaterialIconToggle.prototype.check = function () {\n    this.inputElement_.checked = true;\n    this.updateClasses_();\n};\nMaterialIconToggle.prototype['check'] = MaterialIconToggle.prototype.check;\n/**\n   * Uncheck icon toggle.\n   *\n   * @public\n   */\nMaterialIconToggle.prototype.uncheck = function () {\n    this.inputElement_.checked = false;\n    this.updateClasses_();\n};\nMaterialIconToggle.prototype['uncheck'] = MaterialIconToggle.prototype.uncheck;\n/**\n   * Initialize element.\n   */\nMaterialIconToggle.prototype.init = function () {\n    if (this.element_) {\n        this.inputElement_ = this.element_.querySelector('.' + this.CssClasses_.INPUT);\n        if (this.element_.classList.contains(this.CssClasses_.JS_RIPPLE_EFFECT)) {\n            this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS);\n            this.rippleContainerElement_ = document.createElement('span');\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CONTAINER);\n            this.rippleContainerElement_.classList.add(this.CssClasses_.JS_RIPPLE_EFFECT);\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CENTER);\n            this.boundRippleMouseUp = this.onMouseUp_.bind(this);\n            this.rippleContainerElement_.addEventListener('mouseup', this.boundRippleMouseUp);\n            var ripple = document.createElement('span');\n            ripple.classList.add(this.CssClasses_.RIPPLE);\n            this.rippleContainerElement_.appendChild(ripple);\n            this.element_.appendChild(this.rippleContainerElement_);\n        }\n        this.boundInputOnChange = this.onChange_.bind(this);\n        this.boundInputOnFocus = this.onFocus_.bind(this);\n        this.boundInputOnBlur = this.onBlur_.bind(this);\n        this.boundElementOnMouseUp = this.onMouseUp_.bind(this);\n        this.inputElement_.addEventListener('change', this.boundInputOnChange);\n        this.inputElement_.addEventListener('focus', this.boundInputOnFocus);\n        this.inputElement_.addEventListener('blur', this.boundInputOnBlur);\n        this.element_.addEventListener('mouseup', this.boundElementOnMouseUp);\n        this.updateClasses_();\n        this.element_.classList.add('is-upgraded');\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialIconToggle,\n    classAsString: 'MaterialIconToggle',\n    cssClass: 'mdl-js-icon-toggle',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for dropdown MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialMenu = function MaterialMenu(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialMenu'] = MaterialMenu;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialMenu.prototype.Constant_ = {\n    // Total duration of the menu animation.\n    TRANSITION_DURATION_SECONDS: 0.3,\n    // The fraction of the total duration we want to use for menu item animations.\n    TRANSITION_DURATION_FRACTION: 0.8,\n    // How long the menu stays open after choosing an option (so the user can see\n    // the ripple).\n    CLOSE_TIMEOUT: 150\n};\n/**\n   * Keycodes, for code readability.\n   *\n   * @enum {number}\n   * @private\n   */\nMaterialMenu.prototype.Keycodes_ = {\n    ENTER: 13,\n    ESCAPE: 27,\n    SPACE: 32,\n    UP_ARROW: 38,\n    DOWN_ARROW: 40\n};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialMenu.prototype.CssClasses_ = {\n    CONTAINER: 'mdl-menu__container',\n    OUTLINE: 'mdl-menu__outline',\n    ITEM: 'mdl-menu__item',\n    ITEM_RIPPLE_CONTAINER: 'mdl-menu__item-ripple-container',\n    RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    RIPPLE_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events',\n    RIPPLE: 'mdl-ripple',\n    // Statuses\n    IS_UPGRADED: 'is-upgraded',\n    IS_VISIBLE: 'is-visible',\n    IS_ANIMATING: 'is-animating',\n    // Alignment options\n    BOTTOM_LEFT: 'mdl-menu--bottom-left',\n    // This is the default.\n    BOTTOM_RIGHT: 'mdl-menu--bottom-right',\n    TOP_LEFT: 'mdl-menu--top-left',\n    TOP_RIGHT: 'mdl-menu--top-right',\n    UNALIGNED: 'mdl-menu--unaligned'\n};\n/**\n   * Initialize element.\n   */\nMaterialMenu.prototype.init = function () {\n    if (this.element_) {\n        // Create container for the menu.\n        var container = document.createElement('div');\n        container.classList.add(this.CssClasses_.CONTAINER);\n        this.element_.parentElement.insertBefore(container, this.element_);\n        this.element_.parentElement.removeChild(this.element_);\n        container.appendChild(this.element_);\n        this.container_ = container;\n        // Create outline for the menu (shadow and background).\n        var outline = document.createElement('div');\n        outline.classList.add(this.CssClasses_.OUTLINE);\n        this.outline_ = outline;\n        container.insertBefore(outline, this.element_);\n        // Find the \"for\" element and bind events to it.\n        var forElId = this.element_.getAttribute('for') || this.element_.getAttribute('data-mdl-for');\n        var forEl = null;\n        if (forElId) {\n            forEl = document.getElementById(forElId);\n            if (forEl) {\n                this.forElement_ = forEl;\n                forEl.addEventListener('click', this.handleForClick_.bind(this));\n                forEl.addEventListener('keydown', this.handleForKeyboardEvent_.bind(this));\n            }\n        }\n        var items = this.element_.querySelectorAll('.' + this.CssClasses_.ITEM);\n        this.boundItemKeydown_ = this.handleItemKeyboardEvent_.bind(this);\n        this.boundItemClick_ = this.handleItemClick_.bind(this);\n        for (var i = 0; i < items.length; i++) {\n            // Add a listener to each menu item.\n            items[i].addEventListener('click', this.boundItemClick_);\n            // Add a tab index to each menu item.\n            items[i].tabIndex = '-1';\n            // Add a keyboard listener to each menu item.\n            items[i].addEventListener('keydown', this.boundItemKeydown_);\n        }\n        // Add ripple classes to each item, if the user has enabled ripples.\n        if (this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT)) {\n            this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS);\n            for (i = 0; i < items.length; i++) {\n                var item = items[i];\n                var rippleContainer = document.createElement('span');\n                rippleContainer.classList.add(this.CssClasses_.ITEM_RIPPLE_CONTAINER);\n                var ripple = document.createElement('span');\n                ripple.classList.add(this.CssClasses_.RIPPLE);\n                rippleContainer.appendChild(ripple);\n                item.appendChild(rippleContainer);\n                item.classList.add(this.CssClasses_.RIPPLE_EFFECT);\n            }\n        }\n        // Copy alignment classes to the container, so the outline can use them.\n        if (this.element_.classList.contains(this.CssClasses_.BOTTOM_LEFT)) {\n            this.outline_.classList.add(this.CssClasses_.BOTTOM_LEFT);\n        }\n        if (this.element_.classList.contains(this.CssClasses_.BOTTOM_RIGHT)) {\n            this.outline_.classList.add(this.CssClasses_.BOTTOM_RIGHT);\n        }\n        if (this.element_.classList.contains(this.CssClasses_.TOP_LEFT)) {\n            this.outline_.classList.add(this.CssClasses_.TOP_LEFT);\n        }\n        if (this.element_.classList.contains(this.CssClasses_.TOP_RIGHT)) {\n            this.outline_.classList.add(this.CssClasses_.TOP_RIGHT);\n        }\n        if (this.element_.classList.contains(this.CssClasses_.UNALIGNED)) {\n            this.outline_.classList.add(this.CssClasses_.UNALIGNED);\n        }\n        container.classList.add(this.CssClasses_.IS_UPGRADED);\n    }\n};\n/**\n   * Handles a click on the \"for\" element, by positioning the menu and then\n   * toggling it.\n   *\n   * @param {Event} evt The event that fired.\n   * @private\n   */\nMaterialMenu.prototype.handleForClick_ = function (evt) {\n    if (this.element_ && this.forElement_) {\n        var rect = this.forElement_.getBoundingClientRect();\n        var forRect = this.forElement_.parentElement.getBoundingClientRect();\n        if (this.element_.classList.contains(this.CssClasses_.UNALIGNED)) {\n        } else if (this.element_.classList.contains(this.CssClasses_.BOTTOM_RIGHT)) {\n            // Position below the \"for\" element, aligned to its right.\n            this.container_.style.right = forRect.right - rect.right + 'px';\n            this.container_.style.top = this.forElement_.offsetTop + this.forElement_.offsetHeight + 'px';\n        } else if (this.element_.classList.contains(this.CssClasses_.TOP_LEFT)) {\n            // Position above the \"for\" element, aligned to its left.\n            this.container_.style.left = this.forElement_.offsetLeft + 'px';\n            this.container_.style.bottom = forRect.bottom - rect.top + 'px';\n        } else if (this.element_.classList.contains(this.CssClasses_.TOP_RIGHT)) {\n            // Position above the \"for\" element, aligned to its right.\n            this.container_.style.right = forRect.right - rect.right + 'px';\n            this.container_.style.bottom = forRect.bottom - rect.top + 'px';\n        } else {\n            // Default: position below the \"for\" element, aligned to its left.\n            this.container_.style.left = this.forElement_.offsetLeft + 'px';\n            this.container_.style.top = this.forElement_.offsetTop + this.forElement_.offsetHeight + 'px';\n        }\n    }\n    this.toggle(evt);\n};\n/**\n   * Handles a keyboard event on the \"for\" element.\n   *\n   * @param {Event} evt The event that fired.\n   * @private\n   */\nMaterialMenu.prototype.handleForKeyboardEvent_ = function (evt) {\n    if (this.element_ && this.container_ && this.forElement_) {\n        var items = this.element_.querySelectorAll('.' + this.CssClasses_.ITEM + ':not([disabled])');\n        if (items && items.length > 0 && this.container_.classList.contains(this.CssClasses_.IS_VISIBLE)) {\n            if (evt.keyCode === this.Keycodes_.UP_ARROW) {\n                evt.preventDefault();\n                items[items.length - 1].focus();\n            } else if (evt.keyCode === this.Keycodes_.DOWN_ARROW) {\n                evt.preventDefault();\n                items[0].focus();\n            }\n        }\n    }\n};\n/**\n   * Handles a keyboard event on an item.\n   *\n   * @param {Event} evt The event that fired.\n   * @private\n   */\nMaterialMenu.prototype.handleItemKeyboardEvent_ = function (evt) {\n    if (this.element_ && this.container_) {\n        var items = this.element_.querySelectorAll('.' + this.CssClasses_.ITEM + ':not([disabled])');\n        if (items && items.length > 0 && this.container_.classList.contains(this.CssClasses_.IS_VISIBLE)) {\n            var currentIndex = Array.prototype.slice.call(items).indexOf(evt.target);\n            if (evt.keyCode === this.Keycodes_.UP_ARROW) {\n                evt.preventDefault();\n                if (currentIndex > 0) {\n                    items[currentIndex - 1].focus();\n                } else {\n                    items[items.length - 1].focus();\n                }\n            } else if (evt.keyCode === this.Keycodes_.DOWN_ARROW) {\n                evt.preventDefault();\n                if (items.length > currentIndex + 1) {\n                    items[currentIndex + 1].focus();\n                } else {\n                    items[0].focus();\n                }\n            } else if (evt.keyCode === this.Keycodes_.SPACE || evt.keyCode === this.Keycodes_.ENTER) {\n                evt.preventDefault();\n                // Send mousedown and mouseup to trigger ripple.\n                var e = new MouseEvent('mousedown');\n                evt.target.dispatchEvent(e);\n                e = new MouseEvent('mouseup');\n                evt.target.dispatchEvent(e);\n                // Send click.\n                evt.target.click();\n            } else if (evt.keyCode === this.Keycodes_.ESCAPE) {\n                evt.preventDefault();\n                this.hide();\n            }\n        }\n    }\n};\n/**\n   * Handles a click event on an item.\n   *\n   * @param {Event} evt The event that fired.\n   * @private\n   */\nMaterialMenu.prototype.handleItemClick_ = function (evt) {\n    if (evt.target.hasAttribute('disabled')) {\n        evt.stopPropagation();\n    } else {\n        // Wait some time before closing menu, so the user can see the ripple.\n        this.closing_ = true;\n        window.setTimeout(function (evt) {\n            this.hide();\n            this.closing_ = false;\n        }.bind(this), this.Constant_.CLOSE_TIMEOUT);\n    }\n};\n/**\n   * Calculates the initial clip (for opening the menu) or final clip (for closing\n   * it), and applies it. This allows us to animate from or to the correct point,\n   * that is, the point it's aligned to in the \"for\" element.\n   *\n   * @param {number} height Height of the clip rectangle\n   * @param {number} width Width of the clip rectangle\n   * @private\n   */\nMaterialMenu.prototype.applyClip_ = function (height, width) {\n    if (this.element_.classList.contains(this.CssClasses_.UNALIGNED)) {\n        // Do not clip.\n        this.element_.style.clip = '';\n    } else if (this.element_.classList.contains(this.CssClasses_.BOTTOM_RIGHT)) {\n        // Clip to the top right corner of the menu.\n        this.element_.style.clip = 'rect(0 ' + width + 'px ' + '0 ' + width + 'px)';\n    } else if (this.element_.classList.contains(this.CssClasses_.TOP_LEFT)) {\n        // Clip to the bottom left corner of the menu.\n        this.element_.style.clip = 'rect(' + height + 'px 0 ' + height + 'px 0)';\n    } else if (this.element_.classList.contains(this.CssClasses_.TOP_RIGHT)) {\n        // Clip to the bottom right corner of the menu.\n        this.element_.style.clip = 'rect(' + height + 'px ' + width + 'px ' + height + 'px ' + width + 'px)';\n    } else {\n        // Default: do not clip (same as clipping to the top left corner).\n        this.element_.style.clip = '';\n    }\n};\n/**\n   * Cleanup function to remove animation listeners.\n   *\n   * @param {Event} evt\n   * @private\n   */\nMaterialMenu.prototype.removeAnimationEndListener_ = function (evt) {\n    evt.target.classList.remove(MaterialMenu.prototype.CssClasses_.IS_ANIMATING);\n};\n/**\n   * Adds an event listener to clean up after the animation ends.\n   *\n   * @private\n   */\nMaterialMenu.prototype.addAnimationEndListener_ = function () {\n    this.element_.addEventListener('transitionend', this.removeAnimationEndListener_);\n    this.element_.addEventListener('webkitTransitionEnd', this.removeAnimationEndListener_);\n};\n/**\n   * Displays the menu.\n   *\n   * @public\n   */\nMaterialMenu.prototype.show = function (evt) {\n    if (this.element_ && this.container_ && this.outline_) {\n        // Measure the inner element.\n        var height = this.element_.getBoundingClientRect().height;\n        var width = this.element_.getBoundingClientRect().width;\n        // Apply the inner element's size to the container and outline.\n        this.container_.style.width = width + 'px';\n        this.container_.style.height = height + 'px';\n        this.outline_.style.width = width + 'px';\n        this.outline_.style.height = height + 'px';\n        var transitionDuration = this.Constant_.TRANSITION_DURATION_SECONDS * this.Constant_.TRANSITION_DURATION_FRACTION;\n        // Calculate transition delays for individual menu items, so that they fade\n        // in one at a time.\n        var items = this.element_.querySelectorAll('.' + this.CssClasses_.ITEM);\n        for (var i = 0; i < items.length; i++) {\n            var itemDelay = null;\n            if (this.element_.classList.contains(this.CssClasses_.TOP_LEFT) || this.element_.classList.contains(this.CssClasses_.TOP_RIGHT)) {\n                itemDelay = (height - items[i].offsetTop - items[i].offsetHeight) / height * transitionDuration + 's';\n            } else {\n                itemDelay = items[i].offsetTop / height * transitionDuration + 's';\n            }\n            items[i].style.transitionDelay = itemDelay;\n        }\n        // Apply the initial clip to the text before we start animating.\n        this.applyClip_(height, width);\n        // Wait for the next frame, turn on animation, and apply the final clip.\n        // Also make it visible. This triggers the transitions.\n        window.requestAnimationFrame(function () {\n            this.element_.classList.add(this.CssClasses_.IS_ANIMATING);\n            this.element_.style.clip = 'rect(0 ' + width + 'px ' + height + 'px 0)';\n            this.container_.classList.add(this.CssClasses_.IS_VISIBLE);\n        }.bind(this));\n        // Clean up after the animation is complete.\n        this.addAnimationEndListener_();\n        // Add a click listener to the document, to close the menu.\n        var callback = function (e) {\n            // Check to see if the document is processing the same event that\n            // displayed the menu in the first place. If so, do nothing.\n            // Also check to see if the menu is in the process of closing itself, and\n            // do nothing in that case.\n            // Also check if the clicked element is a menu item\n            // if so, do nothing.\n            if (e !== evt && !this.closing_ && e.target.parentNode !== this.element_) {\n                document.removeEventListener('click', callback);\n                this.hide();\n            }\n        }.bind(this);\n        document.addEventListener('click', callback);\n    }\n};\nMaterialMenu.prototype['show'] = MaterialMenu.prototype.show;\n/**\n   * Hides the menu.\n   *\n   * @public\n   */\nMaterialMenu.prototype.hide = function () {\n    if (this.element_ && this.container_ && this.outline_) {\n        var items = this.element_.querySelectorAll('.' + this.CssClasses_.ITEM);\n        // Remove all transition delays; menu items fade out concurrently.\n        for (var i = 0; i < items.length; i++) {\n            items[i].style.removeProperty('transition-delay');\n        }\n        // Measure the inner element.\n        var rect = this.element_.getBoundingClientRect();\n        var height = rect.height;\n        var width = rect.width;\n        // Turn on animation, and apply the final clip. Also make invisible.\n        // This triggers the transitions.\n        this.element_.classList.add(this.CssClasses_.IS_ANIMATING);\n        this.applyClip_(height, width);\n        this.container_.classList.remove(this.CssClasses_.IS_VISIBLE);\n        // Clean up after the animation is complete.\n        this.addAnimationEndListener_();\n    }\n};\nMaterialMenu.prototype['hide'] = MaterialMenu.prototype.hide;\n/**\n   * Displays or hides the menu, depending on current state.\n   *\n   * @public\n   */\nMaterialMenu.prototype.toggle = function (evt) {\n    if (this.container_.classList.contains(this.CssClasses_.IS_VISIBLE)) {\n        this.hide();\n    } else {\n        this.show(evt);\n    }\n};\nMaterialMenu.prototype['toggle'] = MaterialMenu.prototype.toggle;\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialMenu,\n    classAsString: 'MaterialMenu',\n    cssClass: 'mdl-js-menu',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Progress MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialProgress = function MaterialProgress(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialProgress'] = MaterialProgress;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialProgress.prototype.Constant_ = {};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialProgress.prototype.CssClasses_ = { INDETERMINATE_CLASS: 'mdl-progress__indeterminate' };\n/**\n   * Set the current progress of the progressbar.\n   *\n   * @param {number} p Percentage of the progress (0-100)\n   * @public\n   */\nMaterialProgress.prototype.setProgress = function (p) {\n    if (this.element_.classList.contains(this.CssClasses_.INDETERMINATE_CLASS)) {\n        return;\n    }\n    this.progressbar_.style.width = p + '%';\n};\nMaterialProgress.prototype['setProgress'] = MaterialProgress.prototype.setProgress;\n/**\n   * Set the current progress of the buffer.\n   *\n   * @param {number} p Percentage of the buffer (0-100)\n   * @public\n   */\nMaterialProgress.prototype.setBuffer = function (p) {\n    this.bufferbar_.style.width = p + '%';\n    this.auxbar_.style.width = 100 - p + '%';\n};\nMaterialProgress.prototype['setBuffer'] = MaterialProgress.prototype.setBuffer;\n/**\n   * Initialize element.\n   */\nMaterialProgress.prototype.init = function () {\n    if (this.element_) {\n        var el = document.createElement('div');\n        el.className = 'progressbar bar bar1';\n        this.element_.appendChild(el);\n        this.progressbar_ = el;\n        el = document.createElement('div');\n        el.className = 'bufferbar bar bar2';\n        this.element_.appendChild(el);\n        this.bufferbar_ = el;\n        el = document.createElement('div');\n        el.className = 'auxbar bar bar3';\n        this.element_.appendChild(el);\n        this.auxbar_ = el;\n        this.progressbar_.style.width = '0%';\n        this.bufferbar_.style.width = '100%';\n        this.auxbar_.style.width = '0%';\n        this.element_.classList.add('is-upgraded');\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialProgress,\n    classAsString: 'MaterialProgress',\n    cssClass: 'mdl-js-progress',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Radio MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialRadio = function MaterialRadio(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialRadio'] = MaterialRadio;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialRadio.prototype.Constant_ = { TINY_TIMEOUT: 0.001 };\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialRadio.prototype.CssClasses_ = {\n    IS_FOCUSED: 'is-focused',\n    IS_DISABLED: 'is-disabled',\n    IS_CHECKED: 'is-checked',\n    IS_UPGRADED: 'is-upgraded',\n    JS_RADIO: 'mdl-js-radio',\n    RADIO_BTN: 'mdl-radio__button',\n    RADIO_OUTER_CIRCLE: 'mdl-radio__outer-circle',\n    RADIO_INNER_CIRCLE: 'mdl-radio__inner-circle',\n    RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    RIPPLE_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events',\n    RIPPLE_CONTAINER: 'mdl-radio__ripple-container',\n    RIPPLE_CENTER: 'mdl-ripple--center',\n    RIPPLE: 'mdl-ripple'\n};\n/**\n   * Handle change of state.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialRadio.prototype.onChange_ = function (event) {\n    // Since other radio buttons don't get change events, we need to look for\n    // them to update their classes.\n    var radios = document.getElementsByClassName(this.CssClasses_.JS_RADIO);\n    for (var i = 0; i < radios.length; i++) {\n        var button = radios[i].querySelector('.' + this.CssClasses_.RADIO_BTN);\n        // Different name == different group, so no point updating those.\n        if (button.getAttribute('name') === this.btnElement_.getAttribute('name')) {\n            if (typeof radios[i]['MaterialRadio'] !== 'undefined') {\n                radios[i]['MaterialRadio'].updateClasses_();\n            }\n        }\n    }\n};\n/**\n   * Handle focus.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialRadio.prototype.onFocus_ = function (event) {\n    this.element_.classList.add(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle lost focus.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialRadio.prototype.onBlur_ = function (event) {\n    this.element_.classList.remove(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle mouseup.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialRadio.prototype.onMouseup_ = function (event) {\n    this.blur_();\n};\n/**\n   * Update classes.\n   *\n   * @private\n   */\nMaterialRadio.prototype.updateClasses_ = function () {\n    this.checkDisabled();\n    this.checkToggleState();\n};\n/**\n   * Add blur.\n   *\n   * @private\n   */\nMaterialRadio.prototype.blur_ = function () {\n    // TODO: figure out why there's a focus event being fired after our blur,\n    // so that we can avoid this hack.\n    window.setTimeout(function () {\n        this.btnElement_.blur();\n    }.bind(this), this.Constant_.TINY_TIMEOUT);\n};\n// Public methods.\n/**\n   * Check the components disabled state.\n   *\n   * @public\n   */\nMaterialRadio.prototype.checkDisabled = function () {\n    if (this.btnElement_.disabled) {\n        this.element_.classList.add(this.CssClasses_.IS_DISABLED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_DISABLED);\n    }\n};\nMaterialRadio.prototype['checkDisabled'] = MaterialRadio.prototype.checkDisabled;\n/**\n   * Check the components toggled state.\n   *\n   * @public\n   */\nMaterialRadio.prototype.checkToggleState = function () {\n    if (this.btnElement_.checked) {\n        this.element_.classList.add(this.CssClasses_.IS_CHECKED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_CHECKED);\n    }\n};\nMaterialRadio.prototype['checkToggleState'] = MaterialRadio.prototype.checkToggleState;\n/**\n   * Disable radio.\n   *\n   * @public\n   */\nMaterialRadio.prototype.disable = function () {\n    this.btnElement_.disabled = true;\n    this.updateClasses_();\n};\nMaterialRadio.prototype['disable'] = MaterialRadio.prototype.disable;\n/**\n   * Enable radio.\n   *\n   * @public\n   */\nMaterialRadio.prototype.enable = function () {\n    this.btnElement_.disabled = false;\n    this.updateClasses_();\n};\nMaterialRadio.prototype['enable'] = MaterialRadio.prototype.enable;\n/**\n   * Check radio.\n   *\n   * @public\n   */\nMaterialRadio.prototype.check = function () {\n    this.btnElement_.checked = true;\n    this.onChange_(null);\n};\nMaterialRadio.prototype['check'] = MaterialRadio.prototype.check;\n/**\n   * Uncheck radio.\n   *\n   * @public\n   */\nMaterialRadio.prototype.uncheck = function () {\n    this.btnElement_.checked = false;\n    this.onChange_(null);\n};\nMaterialRadio.prototype['uncheck'] = MaterialRadio.prototype.uncheck;\n/**\n   * Initialize element.\n   */\nMaterialRadio.prototype.init = function () {\n    if (this.element_) {\n        this.btnElement_ = this.element_.querySelector('.' + this.CssClasses_.RADIO_BTN);\n        this.boundChangeHandler_ = this.onChange_.bind(this);\n        this.boundFocusHandler_ = this.onChange_.bind(this);\n        this.boundBlurHandler_ = this.onBlur_.bind(this);\n        this.boundMouseUpHandler_ = this.onMouseup_.bind(this);\n        var outerCircle = document.createElement('span');\n        outerCircle.classList.add(this.CssClasses_.RADIO_OUTER_CIRCLE);\n        var innerCircle = document.createElement('span');\n        innerCircle.classList.add(this.CssClasses_.RADIO_INNER_CIRCLE);\n        this.element_.appendChild(outerCircle);\n        this.element_.appendChild(innerCircle);\n        var rippleContainer;\n        if (this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT)) {\n            this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS);\n            rippleContainer = document.createElement('span');\n            rippleContainer.classList.add(this.CssClasses_.RIPPLE_CONTAINER);\n            rippleContainer.classList.add(this.CssClasses_.RIPPLE_EFFECT);\n            rippleContainer.classList.add(this.CssClasses_.RIPPLE_CENTER);\n            rippleContainer.addEventListener('mouseup', this.boundMouseUpHandler_);\n            var ripple = document.createElement('span');\n            ripple.classList.add(this.CssClasses_.RIPPLE);\n            rippleContainer.appendChild(ripple);\n            this.element_.appendChild(rippleContainer);\n        }\n        this.btnElement_.addEventListener('change', this.boundChangeHandler_);\n        this.btnElement_.addEventListener('focus', this.boundFocusHandler_);\n        this.btnElement_.addEventListener('blur', this.boundBlurHandler_);\n        this.element_.addEventListener('mouseup', this.boundMouseUpHandler_);\n        this.updateClasses_();\n        this.element_.classList.add(this.CssClasses_.IS_UPGRADED);\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialRadio,\n    classAsString: 'MaterialRadio',\n    cssClass: 'mdl-js-radio',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Slider MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialSlider = function MaterialSlider(element) {\n    this.element_ = element;\n    // Browser feature detection.\n    this.isIE_ = window.navigator.msPointerEnabled;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialSlider'] = MaterialSlider;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialSlider.prototype.Constant_ = {};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialSlider.prototype.CssClasses_ = {\n    IE_CONTAINER: 'mdl-slider__ie-container',\n    SLIDER_CONTAINER: 'mdl-slider__container',\n    BACKGROUND_FLEX: 'mdl-slider__background-flex',\n    BACKGROUND_LOWER: 'mdl-slider__background-lower',\n    BACKGROUND_UPPER: 'mdl-slider__background-upper',\n    IS_LOWEST_VALUE: 'is-lowest-value',\n    IS_UPGRADED: 'is-upgraded'\n};\n/**\n   * Handle input on element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialSlider.prototype.onInput_ = function (event) {\n    this.updateValueStyles_();\n};\n/**\n   * Handle change on element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialSlider.prototype.onChange_ = function (event) {\n    this.updateValueStyles_();\n};\n/**\n   * Handle mouseup on element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialSlider.prototype.onMouseUp_ = function (event) {\n    event.target.blur();\n};\n/**\n   * Handle mousedown on container element.\n   * This handler is purpose is to not require the use to click\n   * exactly on the 2px slider element, as FireFox seems to be very\n   * strict about this.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   * @suppress {missingProperties}\n   */\nMaterialSlider.prototype.onContainerMouseDown_ = function (event) {\n    // If this click is not on the parent element (but rather some child)\n    // ignore. It may still bubble up.\n    if (event.target !== this.element_.parentElement) {\n        return;\n    }\n    // Discard the original event and create a new event that\n    // is on the slider element.\n    event.preventDefault();\n    var newEvent = new MouseEvent('mousedown', {\n        target: event.target,\n        buttons: event.buttons,\n        clientX: event.clientX,\n        clientY: this.element_.getBoundingClientRect().y\n    });\n    this.element_.dispatchEvent(newEvent);\n};\n/**\n   * Handle updating of values.\n   *\n   * @private\n   */\nMaterialSlider.prototype.updateValueStyles_ = function () {\n    // Calculate and apply percentages to div structure behind slider.\n    var fraction = (this.element_.value - this.element_.min) / (this.element_.max - this.element_.min);\n    if (fraction === 0) {\n        this.element_.classList.add(this.CssClasses_.IS_LOWEST_VALUE);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_LOWEST_VALUE);\n    }\n    if (!this.isIE_) {\n        this.backgroundLower_.style.flex = fraction;\n        this.backgroundLower_.style.webkitFlex = fraction;\n        this.backgroundUpper_.style.flex = 1 - fraction;\n        this.backgroundUpper_.style.webkitFlex = 1 - fraction;\n    }\n};\n// Public methods.\n/**\n   * Disable slider.\n   *\n   * @public\n   */\nMaterialSlider.prototype.disable = function () {\n    this.element_.disabled = true;\n};\nMaterialSlider.prototype['disable'] = MaterialSlider.prototype.disable;\n/**\n   * Enable slider.\n   *\n   * @public\n   */\nMaterialSlider.prototype.enable = function () {\n    this.element_.disabled = false;\n};\nMaterialSlider.prototype['enable'] = MaterialSlider.prototype.enable;\n/**\n   * Update slider value.\n   *\n   * @param {number} value The value to which to set the control (optional).\n   * @public\n   */\nMaterialSlider.prototype.change = function (value) {\n    if (typeof value !== 'undefined') {\n        this.element_.value = value;\n    }\n    this.updateValueStyles_();\n};\nMaterialSlider.prototype['change'] = MaterialSlider.prototype.change;\n/**\n   * Initialize element.\n   */\nMaterialSlider.prototype.init = function () {\n    if (this.element_) {\n        if (this.isIE_) {\n            // Since we need to specify a very large height in IE due to\n            // implementation limitations, we add a parent here that trims it down to\n            // a reasonable size.\n            var containerIE = document.createElement('div');\n            containerIE.classList.add(this.CssClasses_.IE_CONTAINER);\n            this.element_.parentElement.insertBefore(containerIE, this.element_);\n            this.element_.parentElement.removeChild(this.element_);\n            containerIE.appendChild(this.element_);\n        } else {\n            // For non-IE browsers, we need a div structure that sits behind the\n            // slider and allows us to style the left and right sides of it with\n            // different colors.\n            var container = document.createElement('div');\n            container.classList.add(this.CssClasses_.SLIDER_CONTAINER);\n            this.element_.parentElement.insertBefore(container, this.element_);\n            this.element_.parentElement.removeChild(this.element_);\n            container.appendChild(this.element_);\n            var backgroundFlex = document.createElement('div');\n            backgroundFlex.classList.add(this.CssClasses_.BACKGROUND_FLEX);\n            container.appendChild(backgroundFlex);\n            this.backgroundLower_ = document.createElement('div');\n            this.backgroundLower_.classList.add(this.CssClasses_.BACKGROUND_LOWER);\n            backgroundFlex.appendChild(this.backgroundLower_);\n            this.backgroundUpper_ = document.createElement('div');\n            this.backgroundUpper_.classList.add(this.CssClasses_.BACKGROUND_UPPER);\n            backgroundFlex.appendChild(this.backgroundUpper_);\n        }\n        this.boundInputHandler = this.onInput_.bind(this);\n        this.boundChangeHandler = this.onChange_.bind(this);\n        this.boundMouseUpHandler = this.onMouseUp_.bind(this);\n        this.boundContainerMouseDownHandler = this.onContainerMouseDown_.bind(this);\n        this.element_.addEventListener('input', this.boundInputHandler);\n        this.element_.addEventListener('change', this.boundChangeHandler);\n        this.element_.addEventListener('mouseup', this.boundMouseUpHandler);\n        this.element_.parentElement.addEventListener('mousedown', this.boundContainerMouseDownHandler);\n        this.updateValueStyles_();\n        this.element_.classList.add(this.CssClasses_.IS_UPGRADED);\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialSlider,\n    classAsString: 'MaterialSlider',\n    cssClass: 'mdl-js-slider',\n    widget: true\n});","/**\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Snackbar MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialSnackbar = function MaterialSnackbar(element) {\n    this.element_ = element;\n    this.textElement_ = this.element_.querySelector('.' + this.cssClasses_.MESSAGE);\n    this.actionElement_ = this.element_.querySelector('.' + this.cssClasses_.ACTION);\n    if (!this.textElement_) {\n        throw new Error('There must be a message element for a snackbar.');\n    }\n    if (!this.actionElement_) {\n        throw new Error('There must be an action element for a snackbar.');\n    }\n    this.active = false;\n    this.actionHandler_ = undefined;\n    this.message_ = undefined;\n    this.actionText_ = undefined;\n    this.queuedNotifications_ = [];\n    this.setActionHidden_(true);\n};\nwindow['MaterialSnackbar'] = MaterialSnackbar;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialSnackbar.prototype.Constant_ = {\n    // The duration of the snackbar show/hide animation, in ms.\n    ANIMATION_LENGTH: 250\n};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialSnackbar.prototype.cssClasses_ = {\n    SNACKBAR: 'mdl-snackbar',\n    MESSAGE: 'mdl-snackbar__text',\n    ACTION: 'mdl-snackbar__action',\n    ACTIVE: 'mdl-snackbar--active'\n};\n/**\n   * Display the snackbar.\n   *\n   * @private\n   */\nMaterialSnackbar.prototype.displaySnackbar_ = function () {\n    this.element_.setAttribute('aria-hidden', 'true');\n    if (this.actionHandler_) {\n        this.actionElement_.textContent = this.actionText_;\n        this.actionElement_.addEventListener('click', this.actionHandler_);\n        this.setActionHidden_(false);\n    }\n    this.textElement_.textContent = this.message_;\n    this.element_.classList.add(this.cssClasses_.ACTIVE);\n    this.element_.setAttribute('aria-hidden', 'false');\n    setTimeout(this.cleanup_.bind(this), this.timeout_);\n};\n/**\n   * Show the snackbar.\n   *\n   * @param {Object} data The data for the notification.\n   * @public\n   */\nMaterialSnackbar.prototype.showSnackbar = function (data) {\n    if (data === undefined) {\n        throw new Error('Please provide a data object with at least a message to display.');\n    }\n    if (data['message'] === undefined) {\n        throw new Error('Please provide a message to be displayed.');\n    }\n    if (data['actionHandler'] && !data['actionText']) {\n        throw new Error('Please provide action text with the handler.');\n    }\n    if (this.active) {\n        this.queuedNotifications_.push(data);\n    } else {\n        this.active = true;\n        this.message_ = data['message'];\n        if (data['timeout']) {\n            this.timeout_ = data['timeout'];\n        } else {\n            this.timeout_ = 2750;\n        }\n        if (data['actionHandler']) {\n            this.actionHandler_ = data['actionHandler'];\n        }\n        if (data['actionText']) {\n            this.actionText_ = data['actionText'];\n        }\n        this.displaySnackbar_();\n    }\n};\nMaterialSnackbar.prototype['showSnackbar'] = MaterialSnackbar.prototype.showSnackbar;\n/**\n   * Check if the queue has items within it.\n   * If it does, display the next entry.\n   *\n   * @private\n   */\nMaterialSnackbar.prototype.checkQueue_ = function () {\n    if (this.queuedNotifications_.length > 0) {\n        this.showSnackbar(this.queuedNotifications_.shift());\n    }\n};\n/**\n   * Cleanup the snackbar event listeners and accessiblity attributes.\n   *\n   * @private\n   */\nMaterialSnackbar.prototype.cleanup_ = function () {\n    this.element_.classList.remove(this.cssClasses_.ACTIVE);\n    setTimeout(function () {\n        this.element_.setAttribute('aria-hidden', 'true');\n        this.textElement_.textContent = '';\n        if (!Boolean(this.actionElement_.getAttribute('aria-hidden'))) {\n            this.setActionHidden_(true);\n            this.actionElement_.textContent = '';\n            this.actionElement_.removeEventListener('click', this.actionHandler_);\n        }\n        this.actionHandler_ = undefined;\n        this.message_ = undefined;\n        this.actionText_ = undefined;\n        this.active = false;\n        this.checkQueue_();\n    }.bind(this), this.Constant_.ANIMATION_LENGTH);\n};\n/**\n   * Set the action handler hidden state.\n   *\n   * @param {boolean} value\n   * @private\n   */\nMaterialSnackbar.prototype.setActionHidden_ = function (value) {\n    if (value) {\n        this.actionElement_.setAttribute('aria-hidden', 'true');\n    } else {\n        this.actionElement_.removeAttribute('aria-hidden');\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialSnackbar,\n    classAsString: 'MaterialSnackbar',\n    cssClass: 'mdl-js-snackbar',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Spinner MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @param {HTMLElement} element The element that will be upgraded.\n   * @constructor\n   */\nvar MaterialSpinner = function MaterialSpinner(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialSpinner'] = MaterialSpinner;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialSpinner.prototype.Constant_ = { MDL_SPINNER_LAYER_COUNT: 4 };\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialSpinner.prototype.CssClasses_ = {\n    MDL_SPINNER_LAYER: 'mdl-spinner__layer',\n    MDL_SPINNER_CIRCLE_CLIPPER: 'mdl-spinner__circle-clipper',\n    MDL_SPINNER_CIRCLE: 'mdl-spinner__circle',\n    MDL_SPINNER_GAP_PATCH: 'mdl-spinner__gap-patch',\n    MDL_SPINNER_LEFT: 'mdl-spinner__left',\n    MDL_SPINNER_RIGHT: 'mdl-spinner__right'\n};\n/**\n   * Auxiliary method to create a spinner layer.\n   *\n   * @param {number} index Index of the layer to be created.\n   * @public\n   */\nMaterialSpinner.prototype.createLayer = function (index) {\n    var layer = document.createElement('div');\n    layer.classList.add(this.CssClasses_.MDL_SPINNER_LAYER);\n    layer.classList.add(this.CssClasses_.MDL_SPINNER_LAYER + '-' + index);\n    var leftClipper = document.createElement('div');\n    leftClipper.classList.add(this.CssClasses_.MDL_SPINNER_CIRCLE_CLIPPER);\n    leftClipper.classList.add(this.CssClasses_.MDL_SPINNER_LEFT);\n    var gapPatch = document.createElement('div');\n    gapPatch.classList.add(this.CssClasses_.MDL_SPINNER_GAP_PATCH);\n    var rightClipper = document.createElement('div');\n    rightClipper.classList.add(this.CssClasses_.MDL_SPINNER_CIRCLE_CLIPPER);\n    rightClipper.classList.add(this.CssClasses_.MDL_SPINNER_RIGHT);\n    var circleOwners = [\n        leftClipper,\n        gapPatch,\n        rightClipper\n    ];\n    for (var i = 0; i < circleOwners.length; i++) {\n        var circle = document.createElement('div');\n        circle.classList.add(this.CssClasses_.MDL_SPINNER_CIRCLE);\n        circleOwners[i].appendChild(circle);\n    }\n    layer.appendChild(leftClipper);\n    layer.appendChild(gapPatch);\n    layer.appendChild(rightClipper);\n    this.element_.appendChild(layer);\n};\nMaterialSpinner.prototype['createLayer'] = MaterialSpinner.prototype.createLayer;\n/**\n   * Stops the spinner animation.\n   * Public method for users who need to stop the spinner for any reason.\n   *\n   * @public\n   */\nMaterialSpinner.prototype.stop = function () {\n    this.element_.classList.remove('is-active');\n};\nMaterialSpinner.prototype['stop'] = MaterialSpinner.prototype.stop;\n/**\n   * Starts the spinner animation.\n   * Public method for users who need to manually start the spinner for any reason\n   * (instead of just adding the 'is-active' class to their markup).\n   *\n   * @public\n   */\nMaterialSpinner.prototype.start = function () {\n    this.element_.classList.add('is-active');\n};\nMaterialSpinner.prototype['start'] = MaterialSpinner.prototype.start;\n/**\n   * Initialize element.\n   */\nMaterialSpinner.prototype.init = function () {\n    if (this.element_) {\n        for (var i = 1; i <= this.Constant_.MDL_SPINNER_LAYER_COUNT; i++) {\n            this.createLayer(i);\n        }\n        this.element_.classList.add('is-upgraded');\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialSpinner,\n    classAsString: 'MaterialSpinner',\n    cssClass: 'mdl-js-spinner',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Checkbox MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialSwitch = function MaterialSwitch(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialSwitch'] = MaterialSwitch;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialSwitch.prototype.Constant_ = { TINY_TIMEOUT: 0.001 };\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialSwitch.prototype.CssClasses_ = {\n    INPUT: 'mdl-switch__input',\n    TRACK: 'mdl-switch__track',\n    THUMB: 'mdl-switch__thumb',\n    FOCUS_HELPER: 'mdl-switch__focus-helper',\n    RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    RIPPLE_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events',\n    RIPPLE_CONTAINER: 'mdl-switch__ripple-container',\n    RIPPLE_CENTER: 'mdl-ripple--center',\n    RIPPLE: 'mdl-ripple',\n    IS_FOCUSED: 'is-focused',\n    IS_DISABLED: 'is-disabled',\n    IS_CHECKED: 'is-checked'\n};\n/**\n   * Handle change of state.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialSwitch.prototype.onChange_ = function (event) {\n    this.updateClasses_();\n};\n/**\n   * Handle focus of element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialSwitch.prototype.onFocus_ = function (event) {\n    this.element_.classList.add(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle lost focus of element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialSwitch.prototype.onBlur_ = function (event) {\n    this.element_.classList.remove(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle mouseup.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialSwitch.prototype.onMouseUp_ = function (event) {\n    this.blur_();\n};\n/**\n   * Handle class updates.\n   *\n   * @private\n   */\nMaterialSwitch.prototype.updateClasses_ = function () {\n    this.checkDisabled();\n    this.checkToggleState();\n};\n/**\n   * Add blur.\n   *\n   * @private\n   */\nMaterialSwitch.prototype.blur_ = function () {\n    // TODO: figure out why there's a focus event being fired after our blur,\n    // so that we can avoid this hack.\n    window.setTimeout(function () {\n        this.inputElement_.blur();\n    }.bind(this), this.Constant_.TINY_TIMEOUT);\n};\n// Public methods.\n/**\n   * Check the components disabled state.\n   *\n   * @public\n   */\nMaterialSwitch.prototype.checkDisabled = function () {\n    if (this.inputElement_.disabled) {\n        this.element_.classList.add(this.CssClasses_.IS_DISABLED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_DISABLED);\n    }\n};\nMaterialSwitch.prototype['checkDisabled'] = MaterialSwitch.prototype.checkDisabled;\n/**\n   * Check the components toggled state.\n   *\n   * @public\n   */\nMaterialSwitch.prototype.checkToggleState = function () {\n    if (this.inputElement_.checked) {\n        this.element_.classList.add(this.CssClasses_.IS_CHECKED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_CHECKED);\n    }\n};\nMaterialSwitch.prototype['checkToggleState'] = MaterialSwitch.prototype.checkToggleState;\n/**\n   * Disable switch.\n   *\n   * @public\n   */\nMaterialSwitch.prototype.disable = function () {\n    this.inputElement_.disabled = true;\n    this.updateClasses_();\n};\nMaterialSwitch.prototype['disable'] = MaterialSwitch.prototype.disable;\n/**\n   * Enable switch.\n   *\n   * @public\n   */\nMaterialSwitch.prototype.enable = function () {\n    this.inputElement_.disabled = false;\n    this.updateClasses_();\n};\nMaterialSwitch.prototype['enable'] = MaterialSwitch.prototype.enable;\n/**\n   * Activate switch.\n   *\n   * @public\n   */\nMaterialSwitch.prototype.on = function () {\n    this.inputElement_.checked = true;\n    this.updateClasses_();\n};\nMaterialSwitch.prototype['on'] = MaterialSwitch.prototype.on;\n/**\n   * Deactivate switch.\n   *\n   * @public\n   */\nMaterialSwitch.prototype.off = function () {\n    this.inputElement_.checked = false;\n    this.updateClasses_();\n};\nMaterialSwitch.prototype['off'] = MaterialSwitch.prototype.off;\n/**\n   * Initialize element.\n   */\nMaterialSwitch.prototype.init = function () {\n    if (this.element_) {\n        this.inputElement_ = this.element_.querySelector('.' + this.CssClasses_.INPUT);\n        var track = document.createElement('div');\n        track.classList.add(this.CssClasses_.TRACK);\n        var thumb = document.createElement('div');\n        thumb.classList.add(this.CssClasses_.THUMB);\n        var focusHelper = document.createElement('span');\n        focusHelper.classList.add(this.CssClasses_.FOCUS_HELPER);\n        thumb.appendChild(focusHelper);\n        this.element_.appendChild(track);\n        this.element_.appendChild(thumb);\n        this.boundMouseUpHandler = this.onMouseUp_.bind(this);\n        if (this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT)) {\n            this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS);\n            this.rippleContainerElement_ = document.createElement('span');\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CONTAINER);\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_EFFECT);\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CENTER);\n            this.rippleContainerElement_.addEventListener('mouseup', this.boundMouseUpHandler);\n            var ripple = document.createElement('span');\n            ripple.classList.add(this.CssClasses_.RIPPLE);\n            this.rippleContainerElement_.appendChild(ripple);\n            this.element_.appendChild(this.rippleContainerElement_);\n        }\n        this.boundChangeHandler = this.onChange_.bind(this);\n        this.boundFocusHandler = this.onFocus_.bind(this);\n        this.boundBlurHandler = this.onBlur_.bind(this);\n        this.inputElement_.addEventListener('change', this.boundChangeHandler);\n        this.inputElement_.addEventListener('focus', this.boundFocusHandler);\n        this.inputElement_.addEventListener('blur', this.boundBlurHandler);\n        this.element_.addEventListener('mouseup', this.boundMouseUpHandler);\n        this.updateClasses_();\n        this.element_.classList.add('is-upgraded');\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialSwitch,\n    classAsString: 'MaterialSwitch',\n    cssClass: 'mdl-js-switch',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Textfield MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialTextfield = function MaterialTextfield(element) {\n    this.element_ = element;\n    this.maxRows = this.Constant_.NO_MAX_ROWS;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialTextfield'] = MaterialTextfield;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialTextfield.prototype.Constant_ = {\n    NO_MAX_ROWS: -1,\n    MAX_ROWS_ATTRIBUTE: 'maxrows'\n};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialTextfield.prototype.CssClasses_ = {\n    LABEL: 'mdl-textfield__label',\n    INPUT: 'mdl-textfield__input',\n    IS_DIRTY: 'is-dirty',\n    IS_FOCUSED: 'is-focused',\n    IS_DISABLED: 'is-disabled',\n    IS_INVALID: 'is-invalid',\n    IS_UPGRADED: 'is-upgraded',\n    HAS_PLACEHOLDER: 'has-placeholder'\n};\n/**\n   * Handle input being entered.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialTextfield.prototype.onKeyDown_ = function (event) {\n    var currentRowCount = event.target.value.split('\\n').length;\n    if (event.keyCode === 13) {\n        if (currentRowCount >= this.maxRows) {\n            event.preventDefault();\n        }\n    }\n};\n/**\n   * Handle focus.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialTextfield.prototype.onFocus_ = function (event) {\n    this.element_.classList.add(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle lost focus.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialTextfield.prototype.onBlur_ = function (event) {\n    this.element_.classList.remove(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle reset event from out side.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialTextfield.prototype.onReset_ = function (event) {\n    this.updateClasses_();\n};\n/**\n   * Handle class updates.\n   *\n   * @private\n   */\nMaterialTextfield.prototype.updateClasses_ = function () {\n    this.checkDisabled();\n    this.checkValidity();\n    this.checkDirty();\n    this.checkFocus();\n};\n// Public methods.\n/**\n   * Check the disabled state and update field accordingly.\n   *\n   * @public\n   */\nMaterialTextfield.prototype.checkDisabled = function () {\n    if (this.input_.disabled) {\n        this.element_.classList.add(this.CssClasses_.IS_DISABLED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_DISABLED);\n    }\n};\nMaterialTextfield.prototype['checkDisabled'] = MaterialTextfield.prototype.checkDisabled;\n/**\n  * Check the focus state and update field accordingly.\n  *\n  * @public\n  */\nMaterialTextfield.prototype.checkFocus = function () {\n    if (Boolean(this.element_.querySelector(':focus'))) {\n        this.element_.classList.add(this.CssClasses_.IS_FOCUSED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_FOCUSED);\n    }\n};\nMaterialTextfield.prototype['checkFocus'] = MaterialTextfield.prototype.checkFocus;\n/**\n   * Check the validity state and update field accordingly.\n   *\n   * @public\n   */\nMaterialTextfield.prototype.checkValidity = function () {\n    if (this.input_.validity) {\n        if (this.input_.validity.valid) {\n            this.element_.classList.remove(this.CssClasses_.IS_INVALID);\n        } else {\n            this.element_.classList.add(this.CssClasses_.IS_INVALID);\n        }\n    }\n};\nMaterialTextfield.prototype['checkValidity'] = MaterialTextfield.prototype.checkValidity;\n/**\n   * Check the dirty state and update field accordingly.\n   *\n   * @public\n   */\nMaterialTextfield.prototype.checkDirty = function () {\n    if (this.input_.value && this.input_.value.length > 0) {\n        this.element_.classList.add(this.CssClasses_.IS_DIRTY);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_DIRTY);\n    }\n};\nMaterialTextfield.prototype['checkDirty'] = MaterialTextfield.prototype.checkDirty;\n/**\n   * Disable text field.\n   *\n   * @public\n   */\nMaterialTextfield.prototype.disable = function () {\n    this.input_.disabled = true;\n    this.updateClasses_();\n};\nMaterialTextfield.prototype['disable'] = MaterialTextfield.prototype.disable;\n/**\n   * Enable text field.\n   *\n   * @public\n   */\nMaterialTextfield.prototype.enable = function () {\n    this.input_.disabled = false;\n    this.updateClasses_();\n};\nMaterialTextfield.prototype['enable'] = MaterialTextfield.prototype.enable;\n/**\n   * Update text field value.\n   *\n   * @param {string} value The value to which to set the control (optional).\n   * @public\n   */\nMaterialTextfield.prototype.change = function (value) {\n    this.input_.value = value || '';\n    this.updateClasses_();\n};\nMaterialTextfield.prototype['change'] = MaterialTextfield.prototype.change;\n/**\n   * Initialize element.\n   */\nMaterialTextfield.prototype.init = function () {\n    if (this.element_) {\n        this.label_ = this.element_.querySelector('.' + this.CssClasses_.LABEL);\n        this.input_ = this.element_.querySelector('.' + this.CssClasses_.INPUT);\n        if (this.input_) {\n            if (this.input_.hasAttribute(this.Constant_.MAX_ROWS_ATTRIBUTE)) {\n                this.maxRows = parseInt(this.input_.getAttribute(this.Constant_.MAX_ROWS_ATTRIBUTE), 10);\n                if (isNaN(this.maxRows)) {\n                    this.maxRows = this.Constant_.NO_MAX_ROWS;\n                }\n            }\n            if (this.input_.hasAttribute('placeholder')) {\n                this.element_.classList.add(this.CssClasses_.HAS_PLACEHOLDER);\n            }\n            this.boundUpdateClassesHandler = this.updateClasses_.bind(this);\n            this.boundFocusHandler = this.onFocus_.bind(this);\n            this.boundBlurHandler = this.onBlur_.bind(this);\n            this.boundResetHandler = this.onReset_.bind(this);\n            this.input_.addEventListener('input', this.boundUpdateClassesHandler);\n            this.input_.addEventListener('focus', this.boundFocusHandler);\n            this.input_.addEventListener('blur', this.boundBlurHandler);\n            this.input_.addEventListener('reset', this.boundResetHandler);\n            if (this.maxRows !== this.Constant_.NO_MAX_ROWS) {\n                // TODO: This should handle pasting multi line text.\n                // Currently doesn't.\n                this.boundKeyDownHandler = this.onKeyDown_.bind(this);\n                this.input_.addEventListener('keydown', this.boundKeyDownHandler);\n            }\n            var invalid = this.element_.classList.contains(this.CssClasses_.IS_INVALID);\n            this.updateClasses_();\n            this.element_.classList.add(this.CssClasses_.IS_UPGRADED);\n            if (invalid) {\n                this.element_.classList.add(this.CssClasses_.IS_INVALID);\n            }\n            if (this.input_.hasAttribute('autofocus')) {\n                this.element_.focus();\n                this.checkFocus();\n            }\n        }\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialTextfield,\n    classAsString: 'MaterialTextfield',\n    cssClass: 'mdl-js-textfield',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Tooltip MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialTooltip = function MaterialTooltip(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialTooltip'] = MaterialTooltip;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialTooltip.prototype.Constant_ = {};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialTooltip.prototype.CssClasses_ = {\n    IS_ACTIVE: 'is-active',\n    BOTTOM: 'mdl-tooltip--bottom',\n    LEFT: 'mdl-tooltip--left',\n    RIGHT: 'mdl-tooltip--right',\n    TOP: 'mdl-tooltip--top'\n};\n/**\n   * Handle mouseenter for tooltip.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialTooltip.prototype.handleMouseEnter_ = function (event) {\n    var props = event.target.getBoundingClientRect();\n    var left = props.left + props.width / 2;\n    var top = props.top + props.height / 2;\n    var marginLeft = -1 * (this.element_.offsetWidth / 2);\n    var marginTop = -1 * (this.element_.offsetHeight / 2);\n    if (this.element_.classList.contains(this.CssClasses_.LEFT) || this.element_.classList.contains(this.CssClasses_.RIGHT)) {\n        left = props.width / 2;\n        if (top + marginTop < 0) {\n            this.element_.style.top = '0';\n            this.element_.style.marginTop = '0';\n        } else {\n            this.element_.style.top = top + 'px';\n            this.element_.style.marginTop = marginTop + 'px';\n        }\n    } else {\n        if (left + marginLeft < 0) {\n            this.element_.style.left = '0';\n            this.element_.style.marginLeft = '0';\n        } else {\n            this.element_.style.left = left + 'px';\n            this.element_.style.marginLeft = marginLeft + 'px';\n        }\n    }\n    if (this.element_.classList.contains(this.CssClasses_.TOP)) {\n        this.element_.style.top = props.top - this.element_.offsetHeight - 10 + 'px';\n    } else if (this.element_.classList.contains(this.CssClasses_.RIGHT)) {\n        this.element_.style.left = props.left + props.width + 10 + 'px';\n    } else if (this.element_.classList.contains(this.CssClasses_.LEFT)) {\n        this.element_.style.left = props.left - this.element_.offsetWidth - 10 + 'px';\n    } else {\n        this.element_.style.top = props.top + props.height + 10 + 'px';\n    }\n    this.element_.classList.add(this.CssClasses_.IS_ACTIVE);\n};\n/**\n   * Hide tooltip on mouseleave or scroll\n   *\n   * @private\n   */\nMaterialTooltip.prototype.hideTooltip_ = function () {\n    this.element_.classList.remove(this.CssClasses_.IS_ACTIVE);\n};\n/**\n   * Initialize element.\n   */\nMaterialTooltip.prototype.init = function () {\n    if (this.element_) {\n        var forElId = this.element_.getAttribute('for') || this.element_.getAttribute('data-mdl-for');\n        if (forElId) {\n            this.forElement_ = document.getElementById(forElId);\n        }\n        if (this.forElement_) {\n            // It's left here because it prevents accidental text selection on Android\n            if (!this.forElement_.hasAttribute('tabindex')) {\n                this.forElement_.setAttribute('tabindex', '0');\n            }\n            this.boundMouseEnterHandler = this.handleMouseEnter_.bind(this);\n            this.boundMouseLeaveAndScrollHandler = this.hideTooltip_.bind(this);\n            this.forElement_.addEventListener('mouseenter', this.boundMouseEnterHandler, false);\n            this.forElement_.addEventListener('touchend', this.boundMouseEnterHandler, false);\n            this.forElement_.addEventListener('mouseleave', this.boundMouseLeaveAndScrollHandler, false);\n            window.addEventListener('scroll', this.boundMouseLeaveAndScrollHandler, true);\n            window.addEventListener('touchstart', this.boundMouseLeaveAndScrollHandler);\n        }\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialTooltip,\n    classAsString: 'MaterialTooltip',\n    cssClass: 'mdl-tooltip'\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Data Table Card MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {Element} element The element that will be upgraded.\n   */\nvar MaterialDataTable = function MaterialDataTable(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialDataTable'] = MaterialDataTable;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialDataTable.prototype.Constant_ = {};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialDataTable.prototype.CssClasses_ = {\n    DATA_TABLE: 'mdl-data-table',\n    SELECTABLE: 'mdl-data-table--selectable',\n    SELECT_ELEMENT: 'mdl-data-table__select',\n    IS_SELECTED: 'is-selected',\n    IS_UPGRADED: 'is-upgraded'\n};\n/**\n   * Generates and returns a function that toggles the selection state of a\n   * single row (or multiple rows).\n   *\n   * @param {Element} checkbox Checkbox that toggles the selection state.\n   * @param {Element} row Row to toggle when checkbox changes.\n   * @param {(Array<Object>|NodeList)=} opt_rows Rows to toggle when checkbox changes.\n   * @private\n   */\nMaterialDataTable.prototype.selectRow_ = function (checkbox, row, opt_rows) {\n    if (row) {\n        return function () {\n            if (checkbox.checked) {\n                row.classList.add(this.CssClasses_.IS_SELECTED);\n            } else {\n                row.classList.remove(this.CssClasses_.IS_SELECTED);\n            }\n        }.bind(this);\n    }\n    if (opt_rows) {\n        return function () {\n            var i;\n            var el;\n            if (checkbox.checked) {\n                for (i = 0; i < opt_rows.length; i++) {\n                    el = opt_rows[i].querySelector('td').querySelector('.mdl-checkbox');\n                    el['MaterialCheckbox'].check();\n                    opt_rows[i].classList.add(this.CssClasses_.IS_SELECTED);\n                }\n            } else {\n                for (i = 0; i < opt_rows.length; i++) {\n                    el = opt_rows[i].querySelector('td').querySelector('.mdl-checkbox');\n                    el['MaterialCheckbox'].uncheck();\n                    opt_rows[i].classList.remove(this.CssClasses_.IS_SELECTED);\n                }\n            }\n        }.bind(this);\n    }\n};\n/**\n   * Creates a checkbox for a single or or multiple rows and hooks up the\n   * event handling.\n   *\n   * @param {Element} row Row to toggle when checkbox changes.\n   * @param {(Array<Object>|NodeList)=} opt_rows Rows to toggle when checkbox changes.\n   * @private\n   */\nMaterialDataTable.prototype.createCheckbox_ = function (row, opt_rows) {\n    var label = document.createElement('label');\n    var labelClasses = [\n        'mdl-checkbox',\n        'mdl-js-checkbox',\n        'mdl-js-ripple-effect',\n        this.CssClasses_.SELECT_ELEMENT\n    ];\n    label.className = labelClasses.join(' ');\n    var checkbox = document.createElement('input');\n    checkbox.type = 'checkbox';\n    checkbox.classList.add('mdl-checkbox__input');\n    if (row) {\n        checkbox.checked = row.classList.contains(this.CssClasses_.IS_SELECTED);\n        checkbox.addEventListener('change', this.selectRow_(checkbox, row));\n    } else if (opt_rows) {\n        checkbox.addEventListener('change', this.selectRow_(checkbox, null, opt_rows));\n    }\n    label.appendChild(checkbox);\n    componentHandler.upgradeElement(label, 'MaterialCheckbox');\n    return label;\n};\n/**\n   * Initialize element.\n   */\nMaterialDataTable.prototype.init = function () {\n    if (this.element_) {\n        var firstHeader = this.element_.querySelector('th');\n        var bodyRows = Array.prototype.slice.call(this.element_.querySelectorAll('tbody tr'));\n        var footRows = Array.prototype.slice.call(this.element_.querySelectorAll('tfoot tr'));\n        var rows = bodyRows.concat(footRows);\n        if (this.element_.classList.contains(this.CssClasses_.SELECTABLE)) {\n            var th = document.createElement('th');\n            var headerCheckbox = this.createCheckbox_(null, rows);\n            th.appendChild(headerCheckbox);\n            firstHeader.parentElement.insertBefore(th, firstHeader);\n            for (var i = 0; i < rows.length; i++) {\n                var firstCell = rows[i].querySelector('td');\n                if (firstCell) {\n                    var td = document.createElement('td');\n                    if (rows[i].parentNode.nodeName.toUpperCase() === 'TBODY') {\n                        var rowCheckbox = this.createCheckbox_(rows[i]);\n                        td.appendChild(rowCheckbox);\n                    }\n                    rows[i].insertBefore(td, firstCell);\n                }\n            }\n            this.element_.classList.add(this.CssClasses_.IS_UPGRADED);\n        }\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialDataTable,\n    classAsString: 'MaterialDataTable',\n    cssClass: 'mdl-js-data-table'\n});","// https://github.com/zloirock/core-js/issues/86#issuecomment-115759028\nvar global = module.exports = typeof window != 'undefined' && window.Math == Math\n  ? window : typeof self != 'undefined' && self.Math == Math ? self\n  // eslint-disable-next-line no-new-func\n  : Function('return this')();\nif (typeof __g == 'number') __g = global; // eslint-disable-line no-undef\n","var hasOwnProperty = {}.hasOwnProperty;\nmodule.exports = function (it, key) {\n  return hasOwnProperty.call(it, key);\n};\n","module.exports = function (exec) {\n  try {\n    return !!exec();\n  } catch (e) {\n    return true;\n  }\n};\n","// Thank's IE8 for his funny defineProperty\nmodule.exports = !require('./_fails')(function () {\n  return Object.defineProperty({}, 'a', { get: function () { return 7; } }).a != 7;\n});\n","var core = module.exports = { version: '2.6.9' };\nif (typeof __e == 'number') __e = core; // eslint-disable-line no-undef\n","module.exports = function (it) {\n  return typeof it === 'object' ? it !== null : typeof it === 'function';\n};\n","var isObject = require('./_is-object');\nmodule.exports = function (it) {\n  if (!isObject(it)) throw TypeError(it + ' is not an object!');\n  return it;\n};\n","var isObject = require('./_is-object');\nvar document = require('./_global').document;\n// typeof document.createElement is 'object' in old IE\nvar is = isObject(document) && isObject(document.createElement);\nmodule.exports = function (it) {\n  return is ? document.createElement(it) : {};\n};\n","module.exports = !require('./_descriptors') && !require('./_fails')(function () {\n  return Object.defineProperty(require('./_dom-create')('div'), 'a', { get: function () { return 7; } }).a != 7;\n});\n","// 7.1.1 ToPrimitive(input [, PreferredType])\nvar isObject = require('./_is-object');\n// instead of the ES6 spec version, we didn't implement @@toPrimitive case\n// and the second argument - flag - preferred type is a string\nmodule.exports = function (it, S) {\n  if (!isObject(it)) return it;\n  var fn, val;\n  if (S && typeof (fn = it.toString) == 'function' && !isObject(val = fn.call(it))) return val;\n  if (typeof (fn = it.valueOf) == 'function' && !isObject(val = fn.call(it))) return val;\n  if (!S && typeof (fn = it.toString) == 'function' && !isObject(val = fn.call(it))) return val;\n  throw TypeError(\"Can't convert object to primitive value\");\n};\n","var anObject = require('./_an-object');\nvar IE8_DOM_DEFINE = require('./_ie8-dom-define');\nvar toPrimitive = require('./_to-primitive');\nvar dP = Object.defineProperty;\n\nexports.f = require('./_descriptors') ? Object.defineProperty : function defineProperty(O, P, Attributes) {\n  anObject(O);\n  P = toPrimitive(P, true);\n  anObject(Attributes);\n  if (IE8_DOM_DEFINE) try {\n    return dP(O, P, Attributes);\n  } catch (e) { /* empty */ }\n  if ('get' in Attributes || 'set' in Attributes) throw TypeError('Accessors not supported!');\n  if ('value' in Attributes) O[P] = Attributes.value;\n  return O;\n};\n","module.exports = function (bitmap, value) {\n  return {\n    enumerable: !(bitmap & 1),\n    configurable: !(bitmap & 2),\n    writable: !(bitmap & 4),\n    value: value\n  };\n};\n","var dP = require('./_object-dp');\nvar createDesc = require('./_property-desc');\nmodule.exports = require('./_descriptors') ? function (object, key, value) {\n  return dP.f(object, key, createDesc(1, value));\n} : function (object, key, value) {\n  object[key] = value;\n  return object;\n};\n","var id = 0;\nvar px = Math.random();\nmodule.exports = function (key) {\n  return 'Symbol('.concat(key === undefined ? '' : key, ')_', (++id + px).toString(36));\n};\n","module.exports = false;\n","var core = require('./_core');\nvar global = require('./_global');\nvar SHARED = '__core-js_shared__';\nvar store = global[SHARED] || (global[SHARED] = {});\n\n(module.exports = function (key, value) {\n  return store[key] || (store[key] = value !== undefined ? value : {});\n})('versions', []).push({\n  version: core.version,\n  mode: require('./_library') ? 'pure' : 'global',\n  copyright: '© 2019 Denis Pushkarev (zloirock.ru)'\n});\n","module.exports = require('./_shared')('native-function-to-string', Function.toString);\n","var global = require('./_global');\nvar hide = require('./_hide');\nvar has = require('./_has');\nvar SRC = require('./_uid')('src');\nvar $toString = require('./_function-to-string');\nvar TO_STRING = 'toString';\nvar TPL = ('' + $toString).split(TO_STRING);\n\nrequire('./_core').inspectSource = function (it) {\n  return $toString.call(it);\n};\n\n(module.exports = function (O, key, val, safe) {\n  var isFunction = typeof val == 'function';\n  if (isFunction) has(val, 'name') || hide(val, 'name', key);\n  if (O[key] === val) return;\n  if (isFunction) has(val, SRC) || hide(val, SRC, O[key] ? '' + O[key] : TPL.join(String(key)));\n  if (O === global) {\n    O[key] = val;\n  } else if (!safe) {\n    delete O[key];\n    hide(O, key, val);\n  } else if (O[key]) {\n    O[key] = val;\n  } else {\n    hide(O, key, val);\n  }\n// add fake Function#toString for correct work wrapped methods / constructors with methods like LoDash isNative\n})(Function.prototype, TO_STRING, function toString() {\n  return typeof this == 'function' && this[SRC] || $toString.call(this);\n});\n","module.exports = function (it) {\n  if (typeof it != 'function') throw TypeError(it + ' is not a function!');\n  return it;\n};\n","// optional / simple context binding\nvar aFunction = require('./_a-function');\nmodule.exports = function (fn, that, length) {\n  aFunction(fn);\n  if (that === undefined) return fn;\n  switch (length) {\n    case 1: return function (a) {\n      return fn.call(that, a);\n    };\n    case 2: return function (a, b) {\n      return fn.call(that, a, b);\n    };\n    case 3: return function (a, b, c) {\n      return fn.call(that, a, b, c);\n    };\n  }\n  return function (/* ...args */) {\n    return fn.apply(that, arguments);\n  };\n};\n","var global = require('./_global');\nvar core = require('./_core');\nvar hide = require('./_hide');\nvar redefine = require('./_redefine');\nvar ctx = require('./_ctx');\nvar PROTOTYPE = 'prototype';\n\nvar $export = function (type, name, source) {\n  var IS_FORCED = type & $export.F;\n  var IS_GLOBAL = type & $export.G;\n  var IS_STATIC = type & $export.S;\n  var IS_PROTO = type & $export.P;\n  var IS_BIND = type & $export.B;\n  var target = IS_GLOBAL ? global : IS_STATIC ? global[name] || (global[name] = {}) : (global[name] || {})[PROTOTYPE];\n  var exports = IS_GLOBAL ? core : core[name] || (core[name] = {});\n  var expProto = exports[PROTOTYPE] || (exports[PROTOTYPE] = {});\n  var key, own, out, exp;\n  if (IS_GLOBAL) source = name;\n  for (key in source) {\n    // contains in native\n    own = !IS_FORCED && target && target[key] !== undefined;\n    // export native or passed\n    out = (own ? target : source)[key];\n    // bind timers to global for call from export context\n    exp = IS_BIND && own ? ctx(out, global) : IS_PROTO && typeof out == 'function' ? ctx(Function.call, out) : out;\n    // extend global\n    if (target) redefine(target, key, out, type & $export.U);\n    // export\n    if (exports[key] != out) hide(exports, key, exp);\n    if (IS_PROTO && expProto[key] != out) expProto[key] = out;\n  }\n};\nglobal.core = core;\n// type bitmap\n$export.F = 1;   // forced\n$export.G = 2;   // global\n$export.S = 4;   // static\n$export.P = 8;   // proto\n$export.B = 16;  // bind\n$export.W = 32;  // wrap\n$export.U = 64;  // safe\n$export.R = 128; // real proto method for `library`\nmodule.exports = $export;\n","var META = require('./_uid')('meta');\nvar isObject = require('./_is-object');\nvar has = require('./_has');\nvar setDesc = require('./_object-dp').f;\nvar id = 0;\nvar isExtensible = Object.isExtensible || function () {\n  return true;\n};\nvar FREEZE = !require('./_fails')(function () {\n  return isExtensible(Object.preventExtensions({}));\n});\nvar setMeta = function (it) {\n  setDesc(it, META, { value: {\n    i: 'O' + ++id, // object ID\n    w: {}          // weak collections IDs\n  } });\n};\nvar fastKey = function (it, create) {\n  // return primitive with prefix\n  if (!isObject(it)) return typeof it == 'symbol' ? it : (typeof it == 'string' ? 'S' : 'P') + it;\n  if (!has(it, META)) {\n    // can't set metadata to uncaught frozen object\n    if (!isExtensible(it)) return 'F';\n    // not necessary to add metadata\n    if (!create) return 'E';\n    // add missing metadata\n    setMeta(it);\n  // return object ID\n  } return it[META].i;\n};\nvar getWeak = function (it, create) {\n  if (!has(it, META)) {\n    // can't set metadata to uncaught frozen object\n    if (!isExtensible(it)) return true;\n    // not necessary to add metadata\n    if (!create) return false;\n    // add missing metadata\n    setMeta(it);\n  // return hash weak collections IDs\n  } return it[META].w;\n};\n// add metadata on freeze-family methods calling\nvar onFreeze = function (it) {\n  if (FREEZE && meta.NEED && isExtensible(it) && !has(it, META)) setMeta(it);\n  return it;\n};\nvar meta = module.exports = {\n  KEY: META,\n  NEED: false,\n  fastKey: fastKey,\n  getWeak: getWeak,\n  onFreeze: onFreeze\n};\n","var store = require('./_shared')('wks');\nvar uid = require('./_uid');\nvar Symbol = require('./_global').Symbol;\nvar USE_SYMBOL = typeof Symbol == 'function';\n\nvar $exports = module.exports = function (name) {\n  return store[name] || (store[name] =\n    USE_SYMBOL && Symbol[name] || (USE_SYMBOL ? Symbol : uid)('Symbol.' + name));\n};\n\n$exports.store = store;\n","var def = require('./_object-dp').f;\nvar has = require('./_has');\nvar TAG = require('./_wks')('toStringTag');\n\nmodule.exports = function (it, tag, stat) {\n  if (it && !has(it = stat ? it : it.prototype, TAG)) def(it, TAG, { configurable: true, value: tag });\n};\n","exports.f = require('./_wks');\n","var global = require('./_global');\nvar core = require('./_core');\nvar LIBRARY = require('./_library');\nvar wksExt = require('./_wks-ext');\nvar defineProperty = require('./_object-dp').f;\nmodule.exports = function (name) {\n  var $Symbol = core.Symbol || (core.Symbol = LIBRARY ? {} : global.Symbol || {});\n  if (name.charAt(0) != '_' && !(name in $Symbol)) defineProperty($Symbol, name, { value: wksExt.f(name) });\n};\n","var toString = {}.toString;\n\nmodule.exports = function (it) {\n  return toString.call(it).slice(8, -1);\n};\n","// fallback for non-array-like ES3 and non-enumerable old V8 strings\nvar cof = require('./_cof');\n// eslint-disable-next-line no-prototype-builtins\nmodule.exports = Object('z').propertyIsEnumerable(0) ? Object : function (it) {\n  return cof(it) == 'String' ? it.split('') : Object(it);\n};\n","// 7.2.1 RequireObjectCoercible(argument)\nmodule.exports = function (it) {\n  if (it == undefined) throw TypeError(\"Can't call method on  \" + it);\n  return it;\n};\n","// to indexed object, toObject with fallback for non-array-like ES3 strings\nvar IObject = require('./_iobject');\nvar defined = require('./_defined');\nmodule.exports = function (it) {\n  return IObject(defined(it));\n};\n","// 7.1.4 ToInteger\nvar ceil = Math.ceil;\nvar floor = Math.floor;\nmodule.exports = function (it) {\n  return isNaN(it = +it) ? 0 : (it > 0 ? floor : ceil)(it);\n};\n","// 7.1.15 ToLength\nvar toInteger = require('./_to-integer');\nvar min = Math.min;\nmodule.exports = function (it) {\n  return it > 0 ? min(toInteger(it), 0x1fffffffffffff) : 0; // pow(2, 53) - 1 == 9007199254740991\n};\n","var toInteger = require('./_to-integer');\nvar max = Math.max;\nvar min = Math.min;\nmodule.exports = function (index, length) {\n  index = toInteger(index);\n  return index < 0 ? max(index + length, 0) : min(index, length);\n};\n","// false -> Array#indexOf\n// true  -> Array#includes\nvar toIObject = require('./_to-iobject');\nvar toLength = require('./_to-length');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nmodule.exports = function (IS_INCLUDES) {\n  return function ($this, el, fromIndex) {\n    var O = toIObject($this);\n    var length = toLength(O.length);\n    var index = toAbsoluteIndex(fromIndex, length);\n    var value;\n    // Array#includes uses SameValueZero equality algorithm\n    // eslint-disable-next-line no-self-compare\n    if (IS_INCLUDES && el != el) while (length > index) {\n      value = O[index++];\n      // eslint-disable-next-line no-self-compare\n      if (value != value) return true;\n    // Array#indexOf ignores holes, Array#includes - not\n    } else for (;length > index; index++) if (IS_INCLUDES || index in O) {\n      if (O[index] === el) return IS_INCLUDES || index || 0;\n    } return !IS_INCLUDES && -1;\n  };\n};\n","var shared = require('./_shared')('keys');\nvar uid = require('./_uid');\nmodule.exports = function (key) {\n  return shared[key] || (shared[key] = uid(key));\n};\n","var has = require('./_has');\nvar toIObject = require('./_to-iobject');\nvar arrayIndexOf = require('./_array-includes')(false);\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\n\nmodule.exports = function (object, names) {\n  var O = toIObject(object);\n  var i = 0;\n  var result = [];\n  var key;\n  for (key in O) if (key != IE_PROTO) has(O, key) && result.push(key);\n  // Don't enum bug & hidden keys\n  while (names.length > i) if (has(O, key = names[i++])) {\n    ~arrayIndexOf(result, key) || result.push(key);\n  }\n  return result;\n};\n","// IE 8- don't enum bug keys\nmodule.exports = (\n  'constructor,hasOwnProperty,isPrototypeOf,propertyIsEnumerable,toLocaleString,toString,valueOf'\n).split(',');\n","// 19.1.2.14 / 15.2.3.14 Object.keys(O)\nvar $keys = require('./_object-keys-internal');\nvar enumBugKeys = require('./_enum-bug-keys');\n\nmodule.exports = Object.keys || function keys(O) {\n  return $keys(O, enumBugKeys);\n};\n","exports.f = Object.getOwnPropertySymbols;\n","exports.f = {}.propertyIsEnumerable;\n","// all enumerable object keys, includes symbols\nvar getKeys = require('./_object-keys');\nvar gOPS = require('./_object-gops');\nvar pIE = require('./_object-pie');\nmodule.exports = function (it) {\n  var result = getKeys(it);\n  var getSymbols = gOPS.f;\n  if (getSymbols) {\n    var symbols = getSymbols(it);\n    var isEnum = pIE.f;\n    var i = 0;\n    var key;\n    while (symbols.length > i) if (isEnum.call(it, key = symbols[i++])) result.push(key);\n  } return result;\n};\n","// 7.2.2 IsArray(argument)\nvar cof = require('./_cof');\nmodule.exports = Array.isArray || function isArray(arg) {\n  return cof(arg) == 'Array';\n};\n","// 7.1.13 ToObject(argument)\nvar defined = require('./_defined');\nmodule.exports = function (it) {\n  return Object(defined(it));\n};\n","var dP = require('./_object-dp');\nvar anObject = require('./_an-object');\nvar getKeys = require('./_object-keys');\n\nmodule.exports = require('./_descriptors') ? Object.defineProperties : function defineProperties(O, Properties) {\n  anObject(O);\n  var keys = getKeys(Properties);\n  var length = keys.length;\n  var i = 0;\n  var P;\n  while (length > i) dP.f(O, P = keys[i++], Properties[P]);\n  return O;\n};\n","var document = require('./_global').document;\nmodule.exports = document && document.documentElement;\n","// 19.1.2.2 / 15.2.3.5 Object.create(O [, Properties])\nvar anObject = require('./_an-object');\nvar dPs = require('./_object-dps');\nvar enumBugKeys = require('./_enum-bug-keys');\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\nvar Empty = function () { /* empty */ };\nvar PROTOTYPE = 'prototype';\n\n// Create object with fake `null` prototype: use iframe Object with cleared prototype\nvar createDict = function () {\n  // Thrash, waste and sodomy: IE GC bug\n  var iframe = require('./_dom-create')('iframe');\n  var i = enumBugKeys.length;\n  var lt = '<';\n  var gt = '>';\n  var iframeDocument;\n  iframe.style.display = 'none';\n  require('./_html').appendChild(iframe);\n  iframe.src = 'javascript:'; // eslint-disable-line no-script-url\n  // createDict = iframe.contentWindow.Object;\n  // html.removeChild(iframe);\n  iframeDocument = iframe.contentWindow.document;\n  iframeDocument.open();\n  iframeDocument.write(lt + 'script' + gt + 'document.F=Object' + lt + '/script' + gt);\n  iframeDocument.close();\n  createDict = iframeDocument.F;\n  while (i--) delete createDict[PROTOTYPE][enumBugKeys[i]];\n  return createDict();\n};\n\nmodule.exports = Object.create || function create(O, Properties) {\n  var result;\n  if (O !== null) {\n    Empty[PROTOTYPE] = anObject(O);\n    result = new Empty();\n    Empty[PROTOTYPE] = null;\n    // add \"__proto__\" for Object.getPrototypeOf polyfill\n    result[IE_PROTO] = O;\n  } else result = createDict();\n  return Properties === undefined ? result : dPs(result, Properties);\n};\n","// 19.1.2.7 / 15.2.3.4 Object.getOwnPropertyNames(O)\nvar $keys = require('./_object-keys-internal');\nvar hiddenKeys = require('./_enum-bug-keys').concat('length', 'prototype');\n\nexports.f = Object.getOwnPropertyNames || function getOwnPropertyNames(O) {\n  return $keys(O, hiddenKeys);\n};\n","// fallback for IE11 buggy Object.getOwnPropertyNames with iframe and window\nvar toIObject = require('./_to-iobject');\nvar gOPN = require('./_object-gopn').f;\nvar toString = {}.toString;\n\nvar windowNames = typeof window == 'object' && window && Object.getOwnPropertyNames\n  ? Object.getOwnPropertyNames(window) : [];\n\nvar getWindowNames = function (it) {\n  try {\n    return gOPN(it);\n  } catch (e) {\n    return windowNames.slice();\n  }\n};\n\nmodule.exports.f = function getOwnPropertyNames(it) {\n  return windowNames && toString.call(it) == '[object Window]' ? getWindowNames(it) : gOPN(toIObject(it));\n};\n","var pIE = require('./_object-pie');\nvar createDesc = require('./_property-desc');\nvar toIObject = require('./_to-iobject');\nvar toPrimitive = require('./_to-primitive');\nvar has = require('./_has');\nvar IE8_DOM_DEFINE = require('./_ie8-dom-define');\nvar gOPD = Object.getOwnPropertyDescriptor;\n\nexports.f = require('./_descriptors') ? gOPD : function getOwnPropertyDescriptor(O, P) {\n  O = toIObject(O);\n  P = toPrimitive(P, true);\n  if (IE8_DOM_DEFINE) try {\n    return gOPD(O, P);\n  } catch (e) { /* empty */ }\n  if (has(O, P)) return createDesc(!pIE.f.call(O, P), O[P]);\n};\n","'use strict';\n// ECMAScript 6 symbols shim\nvar global = require('./_global');\nvar has = require('./_has');\nvar DESCRIPTORS = require('./_descriptors');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar META = require('./_meta').KEY;\nvar $fails = require('./_fails');\nvar shared = require('./_shared');\nvar setToStringTag = require('./_set-to-string-tag');\nvar uid = require('./_uid');\nvar wks = require('./_wks');\nvar wksExt = require('./_wks-ext');\nvar wksDefine = require('./_wks-define');\nvar enumKeys = require('./_enum-keys');\nvar isArray = require('./_is-array');\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar toObject = require('./_to-object');\nvar toIObject = require('./_to-iobject');\nvar toPrimitive = require('./_to-primitive');\nvar createDesc = require('./_property-desc');\nvar _create = require('./_object-create');\nvar gOPNExt = require('./_object-gopn-ext');\nvar $GOPD = require('./_object-gopd');\nvar $GOPS = require('./_object-gops');\nvar $DP = require('./_object-dp');\nvar $keys = require('./_object-keys');\nvar gOPD = $GOPD.f;\nvar dP = $DP.f;\nvar gOPN = gOPNExt.f;\nvar $Symbol = global.Symbol;\nvar $JSON = global.JSON;\nvar _stringify = $JSON && $JSON.stringify;\nvar PROTOTYPE = 'prototype';\nvar HIDDEN = wks('_hidden');\nvar TO_PRIMITIVE = wks('toPrimitive');\nvar isEnum = {}.propertyIsEnumerable;\nvar SymbolRegistry = shared('symbol-registry');\nvar AllSymbols = shared('symbols');\nvar OPSymbols = shared('op-symbols');\nvar ObjectProto = Object[PROTOTYPE];\nvar USE_NATIVE = typeof $Symbol == 'function' && !!$GOPS.f;\nvar QObject = global.QObject;\n// Don't use setters in Qt Script, https://github.com/zloirock/core-js/issues/173\nvar setter = !QObject || !QObject[PROTOTYPE] || !QObject[PROTOTYPE].findChild;\n\n// fallback for old Android, https://code.google.com/p/v8/issues/detail?id=687\nvar setSymbolDesc = DESCRIPTORS && $fails(function () {\n  return _create(dP({}, 'a', {\n    get: function () { return dP(this, 'a', { value: 7 }).a; }\n  })).a != 7;\n}) ? function (it, key, D) {\n  var protoDesc = gOPD(ObjectProto, key);\n  if (protoDesc) delete ObjectProto[key];\n  dP(it, key, D);\n  if (protoDesc && it !== ObjectProto) dP(ObjectProto, key, protoDesc);\n} : dP;\n\nvar wrap = function (tag) {\n  var sym = AllSymbols[tag] = _create($Symbol[PROTOTYPE]);\n  sym._k = tag;\n  return sym;\n};\n\nvar isSymbol = USE_NATIVE && typeof $Symbol.iterator == 'symbol' ? function (it) {\n  return typeof it == 'symbol';\n} : function (it) {\n  return it instanceof $Symbol;\n};\n\nvar $defineProperty = function defineProperty(it, key, D) {\n  if (it === ObjectProto) $defineProperty(OPSymbols, key, D);\n  anObject(it);\n  key = toPrimitive(key, true);\n  anObject(D);\n  if (has(AllSymbols, key)) {\n    if (!D.enumerable) {\n      if (!has(it, HIDDEN)) dP(it, HIDDEN, createDesc(1, {}));\n      it[HIDDEN][key] = true;\n    } else {\n      if (has(it, HIDDEN) && it[HIDDEN][key]) it[HIDDEN][key] = false;\n      D = _create(D, { enumerable: createDesc(0, false) });\n    } return setSymbolDesc(it, key, D);\n  } return dP(it, key, D);\n};\nvar $defineProperties = function defineProperties(it, P) {\n  anObject(it);\n  var keys = enumKeys(P = toIObject(P));\n  var i = 0;\n  var l = keys.length;\n  var key;\n  while (l > i) $defineProperty(it, key = keys[i++], P[key]);\n  return it;\n};\nvar $create = function create(it, P) {\n  return P === undefined ? _create(it) : $defineProperties(_create(it), P);\n};\nvar $propertyIsEnumerable = function propertyIsEnumerable(key) {\n  var E = isEnum.call(this, key = toPrimitive(key, true));\n  if (this === ObjectProto && has(AllSymbols, key) && !has(OPSymbols, key)) return false;\n  return E || !has(this, key) || !has(AllSymbols, key) || has(this, HIDDEN) && this[HIDDEN][key] ? E : true;\n};\nvar $getOwnPropertyDescriptor = function getOwnPropertyDescriptor(it, key) {\n  it = toIObject(it);\n  key = toPrimitive(key, true);\n  if (it === ObjectProto && has(AllSymbols, key) && !has(OPSymbols, key)) return;\n  var D = gOPD(it, key);\n  if (D && has(AllSymbols, key) && !(has(it, HIDDEN) && it[HIDDEN][key])) D.enumerable = true;\n  return D;\n};\nvar $getOwnPropertyNames = function getOwnPropertyNames(it) {\n  var names = gOPN(toIObject(it));\n  var result = [];\n  var i = 0;\n  var key;\n  while (names.length > i) {\n    if (!has(AllSymbols, key = names[i++]) && key != HIDDEN && key != META) result.push(key);\n  } return result;\n};\nvar $getOwnPropertySymbols = function getOwnPropertySymbols(it) {\n  var IS_OP = it === ObjectProto;\n  var names = gOPN(IS_OP ? OPSymbols : toIObject(it));\n  var result = [];\n  var i = 0;\n  var key;\n  while (names.length > i) {\n    if (has(AllSymbols, key = names[i++]) && (IS_OP ? has(ObjectProto, key) : true)) result.push(AllSymbols[key]);\n  } return result;\n};\n\n// 19.4.1.1 Symbol([description])\nif (!USE_NATIVE) {\n  $Symbol = function Symbol() {\n    if (this instanceof $Symbol) throw TypeError('Symbol is not a constructor!');\n    var tag = uid(arguments.length > 0 ? arguments[0] : undefined);\n    var $set = function (value) {\n      if (this === ObjectProto) $set.call(OPSymbols, value);\n      if (has(this, HIDDEN) && has(this[HIDDEN], tag)) this[HIDDEN][tag] = false;\n      setSymbolDesc(this, tag, createDesc(1, value));\n    };\n    if (DESCRIPTORS && setter) setSymbolDesc(ObjectProto, tag, { configurable: true, set: $set });\n    return wrap(tag);\n  };\n  redefine($Symbol[PROTOTYPE], 'toString', function toString() {\n    return this._k;\n  });\n\n  $GOPD.f = $getOwnPropertyDescriptor;\n  $DP.f = $defineProperty;\n  require('./_object-gopn').f = gOPNExt.f = $getOwnPropertyNames;\n  require('./_object-pie').f = $propertyIsEnumerable;\n  $GOPS.f = $getOwnPropertySymbols;\n\n  if (DESCRIPTORS && !require('./_library')) {\n    redefine(ObjectProto, 'propertyIsEnumerable', $propertyIsEnumerable, true);\n  }\n\n  wksExt.f = function (name) {\n    return wrap(wks(name));\n  };\n}\n\n$export($export.G + $export.W + $export.F * !USE_NATIVE, { Symbol: $Symbol });\n\nfor (var es6Symbols = (\n  // 19.4.2.2, 19.4.2.3, 19.4.2.4, 19.4.2.6, 19.4.2.8, 19.4.2.9, 19.4.2.10, 19.4.2.11, 19.4.2.12, 19.4.2.13, 19.4.2.14\n  'hasInstance,isConcatSpreadable,iterator,match,replace,search,species,split,toPrimitive,toStringTag,unscopables'\n).split(','), j = 0; es6Symbols.length > j;)wks(es6Symbols[j++]);\n\nfor (var wellKnownSymbols = $keys(wks.store), k = 0; wellKnownSymbols.length > k;) wksDefine(wellKnownSymbols[k++]);\n\n$export($export.S + $export.F * !USE_NATIVE, 'Symbol', {\n  // 19.4.2.1 Symbol.for(key)\n  'for': function (key) {\n    return has(SymbolRegistry, key += '')\n      ? SymbolRegistry[key]\n      : SymbolRegistry[key] = $Symbol(key);\n  },\n  // 19.4.2.5 Symbol.keyFor(sym)\n  keyFor: function keyFor(sym) {\n    if (!isSymbol(sym)) throw TypeError(sym + ' is not a symbol!');\n    for (var key in SymbolRegistry) if (SymbolRegistry[key] === sym) return key;\n  },\n  useSetter: function () { setter = true; },\n  useSimple: function () { setter = false; }\n});\n\n$export($export.S + $export.F * !USE_NATIVE, 'Object', {\n  // 19.1.2.2 Object.create(O [, Properties])\n  create: $create,\n  // 19.1.2.4 Object.defineProperty(O, P, Attributes)\n  defineProperty: $defineProperty,\n  // 19.1.2.3 Object.defineProperties(O, Properties)\n  defineProperties: $defineProperties,\n  // 19.1.2.6 Object.getOwnPropertyDescriptor(O, P)\n  getOwnPropertyDescriptor: $getOwnPropertyDescriptor,\n  // 19.1.2.7 Object.getOwnPropertyNames(O)\n  getOwnPropertyNames: $getOwnPropertyNames,\n  // 19.1.2.8 Object.getOwnPropertySymbols(O)\n  getOwnPropertySymbols: $getOwnPropertySymbols\n});\n\n// Chrome 38 and 39 `Object.getOwnPropertySymbols` fails on primitives\n// https://bugs.chromium.org/p/v8/issues/detail?id=3443\nvar FAILS_ON_PRIMITIVES = $fails(function () { $GOPS.f(1); });\n\n$export($export.S + $export.F * FAILS_ON_PRIMITIVES, 'Object', {\n  getOwnPropertySymbols: function getOwnPropertySymbols(it) {\n    return $GOPS.f(toObject(it));\n  }\n});\n\n// 24.3.2 JSON.stringify(value [, replacer [, space]])\n$JSON && $export($export.S + $export.F * (!USE_NATIVE || $fails(function () {\n  var S = $Symbol();\n  // MS Edge converts symbol values to JSON as {}\n  // WebKit converts symbol values to JSON as null\n  // V8 throws on boxed symbols\n  return _stringify([S]) != '[null]' || _stringify({ a: S }) != '{}' || _stringify(Object(S)) != '{}';\n})), 'JSON', {\n  stringify: function stringify(it) {\n    var args = [it];\n    var i = 1;\n    var replacer, $replacer;\n    while (arguments.length > i) args.push(arguments[i++]);\n    $replacer = replacer = args[1];\n    if (!isObject(replacer) && it === undefined || isSymbol(it)) return; // IE8 returns string on undefined\n    if (!isArray(replacer)) replacer = function (key, value) {\n      if (typeof $replacer == 'function') value = $replacer.call(this, key, value);\n      if (!isSymbol(value)) return value;\n    };\n    args[1] = replacer;\n    return _stringify.apply($JSON, args);\n  }\n});\n\n// 19.4.3.4 Symbol.prototype[@@toPrimitive](hint)\n$Symbol[PROTOTYPE][TO_PRIMITIVE] || require('./_hide')($Symbol[PROTOTYPE], TO_PRIMITIVE, $Symbol[PROTOTYPE].valueOf);\n// 19.4.3.5 Symbol.prototype[@@toStringTag]\nsetToStringTag($Symbol, 'Symbol');\n// 20.2.1.9 Math[@@toStringTag]\nsetToStringTag(Math, 'Math', true);\n// 24.3.3 JSON[@@toStringTag]\nsetToStringTag(global.JSON, 'JSON', true);\n","var $export = require('./_export');\n// 19.1.2.2 / 15.2.3.5 Object.create(O [, Properties])\n$export($export.S, 'Object', { create: require('./_object-create') });\n","var $export = require('./_export');\n// 19.1.2.4 / 15.2.3.6 Object.defineProperty(O, P, Attributes)\n$export($export.S + $export.F * !require('./_descriptors'), 'Object', { defineProperty: require('./_object-dp').f });\n","var $export = require('./_export');\n// 19.1.2.3 / 15.2.3.7 Object.defineProperties(O, Properties)\n$export($export.S + $export.F * !require('./_descriptors'), 'Object', { defineProperties: require('./_object-dps') });\n","// most Object methods by ES6 should accept primitives\nvar $export = require('./_export');\nvar core = require('./_core');\nvar fails = require('./_fails');\nmodule.exports = function (KEY, exec) {\n  var fn = (core.Object || {})[KEY] || Object[KEY];\n  var exp = {};\n  exp[KEY] = exec(fn);\n  $export($export.S + $export.F * fails(function () { fn(1); }), 'Object', exp);\n};\n","// 19.1.2.6 Object.getOwnPropertyDescriptor(O, P)\nvar toIObject = require('./_to-iobject');\nvar $getOwnPropertyDescriptor = require('./_object-gopd').f;\n\nrequire('./_object-sap')('getOwnPropertyDescriptor', function () {\n  return function getOwnPropertyDescriptor(it, key) {\n    return $getOwnPropertyDescriptor(toIObject(it), key);\n  };\n});\n","// 19.1.2.9 / 15.2.3.2 Object.getPrototypeOf(O)\nvar has = require('./_has');\nvar toObject = require('./_to-object');\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\nvar ObjectProto = Object.prototype;\n\nmodule.exports = Object.getPrototypeOf || function (O) {\n  O = toObject(O);\n  if (has(O, IE_PROTO)) return O[IE_PROTO];\n  if (typeof O.constructor == 'function' && O instanceof O.constructor) {\n    return O.constructor.prototype;\n  } return O instanceof Object ? ObjectProto : null;\n};\n","// 19.1.2.9 Object.getPrototypeOf(O)\nvar toObject = require('./_to-object');\nvar $getPrototypeOf = require('./_object-gpo');\n\nrequire('./_object-sap')('getPrototypeOf', function () {\n  return function getPrototypeOf(it) {\n    return $getPrototypeOf(toObject(it));\n  };\n});\n","// 19.1.2.14 Object.keys(O)\nvar toObject = require('./_to-object');\nvar $keys = require('./_object-keys');\n\nrequire('./_object-sap')('keys', function () {\n  return function keys(it) {\n    return $keys(toObject(it));\n  };\n});\n","// 19.1.2.7 Object.getOwnPropertyNames(O)\nrequire('./_object-sap')('getOwnPropertyNames', function () {\n  return require('./_object-gopn-ext').f;\n});\n","// 19.1.2.5 Object.freeze(O)\nvar isObject = require('./_is-object');\nvar meta = require('./_meta').onFreeze;\n\nrequire('./_object-sap')('freeze', function ($freeze) {\n  return function freeze(it) {\n    return $freeze && isObject(it) ? $freeze(meta(it)) : it;\n  };\n});\n","// 19.1.2.17 Object.seal(O)\nvar isObject = require('./_is-object');\nvar meta = require('./_meta').onFreeze;\n\nrequire('./_object-sap')('seal', function ($seal) {\n  return function seal(it) {\n    return $seal && isObject(it) ? $seal(meta(it)) : it;\n  };\n});\n","// 19.1.2.15 Object.preventExtensions(O)\nvar isObject = require('./_is-object');\nvar meta = require('./_meta').onFreeze;\n\nrequire('./_object-sap')('preventExtensions', function ($preventExtensions) {\n  return function preventExtensions(it) {\n    return $preventExtensions && isObject(it) ? $preventExtensions(meta(it)) : it;\n  };\n});\n","// 19.1.2.12 Object.isFrozen(O)\nvar isObject = require('./_is-object');\n\nrequire('./_object-sap')('isFrozen', function ($isFrozen) {\n  return function isFrozen(it) {\n    return isObject(it) ? $isFrozen ? $isFrozen(it) : false : true;\n  };\n});\n","// 19.1.2.13 Object.isSealed(O)\nvar isObject = require('./_is-object');\n\nrequire('./_object-sap')('isSealed', function ($isSealed) {\n  return function isSealed(it) {\n    return isObject(it) ? $isSealed ? $isSealed(it) : false : true;\n  };\n});\n","// 19.1.2.11 Object.isExtensible(O)\nvar isObject = require('./_is-object');\n\nrequire('./_object-sap')('isExtensible', function ($isExtensible) {\n  return function isExtensible(it) {\n    return isObject(it) ? $isExtensible ? $isExtensible(it) : true : false;\n  };\n});\n","'use strict';\n// 19.1.2.1 Object.assign(target, source, ...)\nvar DESCRIPTORS = require('./_descriptors');\nvar getKeys = require('./_object-keys');\nvar gOPS = require('./_object-gops');\nvar pIE = require('./_object-pie');\nvar toObject = require('./_to-object');\nvar IObject = require('./_iobject');\nvar $assign = Object.assign;\n\n// should work with symbols and should have deterministic property order (V8 bug)\nmodule.exports = !$assign || require('./_fails')(function () {\n  var A = {};\n  var B = {};\n  // eslint-disable-next-line no-undef\n  var S = Symbol();\n  var K = 'abcdefghijklmnopqrst';\n  A[S] = 7;\n  K.split('').forEach(function (k) { B[k] = k; });\n  return $assign({}, A)[S] != 7 || Object.keys($assign({}, B)).join('') != K;\n}) ? function assign(target, source) { // eslint-disable-line no-unused-vars\n  var T = toObject(target);\n  var aLen = arguments.length;\n  var index = 1;\n  var getSymbols = gOPS.f;\n  var isEnum = pIE.f;\n  while (aLen > index) {\n    var S = IObject(arguments[index++]);\n    var keys = getSymbols ? getKeys(S).concat(getSymbols(S)) : getKeys(S);\n    var length = keys.length;\n    var j = 0;\n    var key;\n    while (length > j) {\n      key = keys[j++];\n      if (!DESCRIPTORS || isEnum.call(S, key)) T[key] = S[key];\n    }\n  } return T;\n} : $assign;\n","// 19.1.3.1 Object.assign(target, source)\nvar $export = require('./_export');\n\n$export($export.S + $export.F, 'Object', { assign: require('./_object-assign') });\n","// 7.2.9 SameValue(x, y)\nmodule.exports = Object.is || function is(x, y) {\n  // eslint-disable-next-line no-self-compare\n  return x === y ? x !== 0 || 1 / x === 1 / y : x != x && y != y;\n};\n","// 19.1.3.10 Object.is(value1, value2)\nvar $export = require('./_export');\n$export($export.S, 'Object', { is: require('./_same-value') });\n","// Works with __proto__ only. Old v8 can't work with null proto objects.\n/* eslint-disable no-proto */\nvar isObject = require('./_is-object');\nvar anObject = require('./_an-object');\nvar check = function (O, proto) {\n  anObject(O);\n  if (!isObject(proto) && proto !== null) throw TypeError(proto + \": can't set as prototype!\");\n};\nmodule.exports = {\n  set: Object.setPrototypeOf || ('__proto__' in {} ? // eslint-disable-line\n    function (test, buggy, set) {\n      try {\n        set = require('./_ctx')(Function.call, require('./_object-gopd').f(Object.prototype, '__proto__').set, 2);\n        set(test, []);\n        buggy = !(test instanceof Array);\n      } catch (e) { buggy = true; }\n      return function setPrototypeOf(O, proto) {\n        check(O, proto);\n        if (buggy) O.__proto__ = proto;\n        else set(O, proto);\n        return O;\n      };\n    }({}, false) : undefined),\n  check: check\n};\n","// 19.1.3.19 Object.setPrototypeOf(O, proto)\nvar $export = require('./_export');\n$export($export.S, 'Object', { setPrototypeOf: require('./_set-proto').set });\n","// getting tag from 19.1.3.6 Object.prototype.toString()\nvar cof = require('./_cof');\nvar TAG = require('./_wks')('toStringTag');\n// ES3 wrong here\nvar ARG = cof(function () { return arguments; }()) == 'Arguments';\n\n// fallback for IE11 Script Access Denied error\nvar tryGet = function (it, key) {\n  try {\n    return it[key];\n  } catch (e) { /* empty */ }\n};\n\nmodule.exports = function (it) {\n  var O, T, B;\n  return it === undefined ? 'Undefined' : it === null ? 'Null'\n    // @@toStringTag case\n    : typeof (T = tryGet(O = Object(it), TAG)) == 'string' ? T\n    // builtinTag case\n    : ARG ? cof(O)\n    // ES3 arguments fallback\n    : (B = cof(O)) == 'Object' && typeof O.callee == 'function' ? 'Arguments' : B;\n};\n","'use strict';\n// 19.1.3.6 Object.prototype.toString()\nvar classof = require('./_classof');\nvar test = {};\ntest[require('./_wks')('toStringTag')] = 'z';\nif (test + '' != '[object z]') {\n  require('./_redefine')(Object.prototype, 'toString', function toString() {\n    return '[object ' + classof(this) + ']';\n  }, true);\n}\n","// fast apply, http://jsperf.lnkit.com/fast-apply/5\nmodule.exports = function (fn, args, that) {\n  var un = that === undefined;\n  switch (args.length) {\n    case 0: return un ? fn()\n                      : fn.call(that);\n    case 1: return un ? fn(args[0])\n                      : fn.call(that, args[0]);\n    case 2: return un ? fn(args[0], args[1])\n                      : fn.call(that, args[0], args[1]);\n    case 3: return un ? fn(args[0], args[1], args[2])\n                      : fn.call(that, args[0], args[1], args[2]);\n    case 4: return un ? fn(args[0], args[1], args[2], args[3])\n                      : fn.call(that, args[0], args[1], args[2], args[3]);\n  } return fn.apply(that, args);\n};\n","'use strict';\nvar aFunction = require('./_a-function');\nvar isObject = require('./_is-object');\nvar invoke = require('./_invoke');\nvar arraySlice = [].slice;\nvar factories = {};\n\nvar construct = function (F, len, args) {\n  if (!(len in factories)) {\n    for (var n = [], i = 0; i < len; i++) n[i] = 'a[' + i + ']';\n    // eslint-disable-next-line no-new-func\n    factories[len] = Function('F,a', 'return new F(' + n.join(',') + ')');\n  } return factories[len](F, args);\n};\n\nmodule.exports = Function.bind || function bind(that /* , ...args */) {\n  var fn = aFunction(this);\n  var partArgs = arraySlice.call(arguments, 1);\n  var bound = function (/* args... */) {\n    var args = partArgs.concat(arraySlice.call(arguments));\n    return this instanceof bound ? construct(fn, args.length, args) : invoke(fn, args, that);\n  };\n  if (isObject(fn.prototype)) bound.prototype = fn.prototype;\n  return bound;\n};\n","// 19.2.3.2 / 15.3.4.5 Function.prototype.bind(thisArg, args...)\nvar $export = require('./_export');\n\n$export($export.P, 'Function', { bind: require('./_bind') });\n","var dP = require('./_object-dp').f;\nvar FProto = Function.prototype;\nvar nameRE = /^\\s*function ([^ (]*)/;\nvar NAME = 'name';\n\n// 19.2.4.2 name\nNAME in FProto || require('./_descriptors') && dP(FProto, NAME, {\n  configurable: true,\n  get: function () {\n    try {\n      return ('' + this).match(nameRE)[1];\n    } catch (e) {\n      return '';\n    }\n  }\n});\n","'use strict';\nvar isObject = require('./_is-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar HAS_INSTANCE = require('./_wks')('hasInstance');\nvar FunctionProto = Function.prototype;\n// 19.2.3.6 Function.prototype[@@hasInstance](V)\nif (!(HAS_INSTANCE in FunctionProto)) require('./_object-dp').f(FunctionProto, HAS_INSTANCE, { value: function (O) {\n  if (typeof this != 'function' || !isObject(O)) return false;\n  if (!isObject(this.prototype)) return O instanceof this;\n  // for environment w/o native `@@hasInstance` logic enough `instanceof`, but add this:\n  while (O = getPrototypeOf(O)) if (this.prototype === O) return true;\n  return false;\n} });\n","module.exports = '\\x09\\x0A\\x0B\\x0C\\x0D\\x20\\xA0\\u1680\\u180E\\u2000\\u2001\\u2002\\u2003' +\n  '\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200A\\u202F\\u205F\\u3000\\u2028\\u2029\\uFEFF';\n","var $export = require('./_export');\nvar defined = require('./_defined');\nvar fails = require('./_fails');\nvar spaces = require('./_string-ws');\nvar space = '[' + spaces + ']';\nvar non = '\\u200b\\u0085';\nvar ltrim = RegExp('^' + space + space + '*');\nvar rtrim = RegExp(space + space + '*$');\n\nvar exporter = function (KEY, exec, ALIAS) {\n  var exp = {};\n  var FORCE = fails(function () {\n    return !!spaces[KEY]() || non[KEY]() != non;\n  });\n  var fn = exp[KEY] = FORCE ? exec(trim) : spaces[KEY];\n  if (ALIAS) exp[ALIAS] = fn;\n  $export($export.P + $export.F * FORCE, 'String', exp);\n};\n\n// 1 -> String#trimLeft\n// 2 -> String#trimRight\n// 3 -> String#trim\nvar trim = exporter.trim = function (string, TYPE) {\n  string = String(defined(string));\n  if (TYPE & 1) string = string.replace(ltrim, '');\n  if (TYPE & 2) string = string.replace(rtrim, '');\n  return string;\n};\n\nmodule.exports = exporter;\n","var $parseInt = require('./_global').parseInt;\nvar $trim = require('./_string-trim').trim;\nvar ws = require('./_string-ws');\nvar hex = /^[-+]?0[xX]/;\n\nmodule.exports = $parseInt(ws + '08') !== 8 || $parseInt(ws + '0x16') !== 22 ? function parseInt(str, radix) {\n  var string = $trim(String(str), 3);\n  return $parseInt(string, (radix >>> 0) || (hex.test(string) ? 16 : 10));\n} : $parseInt;\n","var $export = require('./_export');\nvar $parseInt = require('./_parse-int');\n// 18.2.5 parseInt(string, radix)\n$export($export.G + $export.F * (parseInt != $parseInt), { parseInt: $parseInt });\n","var $parseFloat = require('./_global').parseFloat;\nvar $trim = require('./_string-trim').trim;\n\nmodule.exports = 1 / $parseFloat(require('./_string-ws') + '-0') !== -Infinity ? function parseFloat(str) {\n  var string = $trim(String(str), 3);\n  var result = $parseFloat(string);\n  return result === 0 && string.charAt(0) == '-' ? -0 : result;\n} : $parseFloat;\n","var $export = require('./_export');\nvar $parseFloat = require('./_parse-float');\n// 18.2.4 parseFloat(string)\n$export($export.G + $export.F * (parseFloat != $parseFloat), { parseFloat: $parseFloat });\n","var isObject = require('./_is-object');\nvar setPrototypeOf = require('./_set-proto').set;\nmodule.exports = function (that, target, C) {\n  var S = target.constructor;\n  var P;\n  if (S !== C && typeof S == 'function' && (P = S.prototype) !== C.prototype && isObject(P) && setPrototypeOf) {\n    setPrototypeOf(that, P);\n  } return that;\n};\n","'use strict';\nvar global = require('./_global');\nvar has = require('./_has');\nvar cof = require('./_cof');\nvar inheritIfRequired = require('./_inherit-if-required');\nvar toPrimitive = require('./_to-primitive');\nvar fails = require('./_fails');\nvar gOPN = require('./_object-gopn').f;\nvar gOPD = require('./_object-gopd').f;\nvar dP = require('./_object-dp').f;\nvar $trim = require('./_string-trim').trim;\nvar NUMBER = 'Number';\nvar $Number = global[NUMBER];\nvar Base = $Number;\nvar proto = $Number.prototype;\n// Opera ~12 has broken Object#toString\nvar BROKEN_COF = cof(require('./_object-create')(proto)) == NUMBER;\nvar TRIM = 'trim' in String.prototype;\n\n// 7.1.3 ToNumber(argument)\nvar toNumber = function (argument) {\n  var it = toPrimitive(argument, false);\n  if (typeof it == 'string' && it.length > 2) {\n    it = TRIM ? it.trim() : $trim(it, 3);\n    var first = it.charCodeAt(0);\n    var third, radix, maxCode;\n    if (first === 43 || first === 45) {\n      third = it.charCodeAt(2);\n      if (third === 88 || third === 120) return NaN; // Number('+0x1') should be NaN, old V8 fix\n    } else if (first === 48) {\n      switch (it.charCodeAt(1)) {\n        case 66: case 98: radix = 2; maxCode = 49; break; // fast equal /^0b[01]+$/i\n        case 79: case 111: radix = 8; maxCode = 55; break; // fast equal /^0o[0-7]+$/i\n        default: return +it;\n      }\n      for (var digits = it.slice(2), i = 0, l = digits.length, code; i < l; i++) {\n        code = digits.charCodeAt(i);\n        // parseInt parses a string to a first unavailable symbol\n        // but ToNumber should return NaN if a string contains unavailable symbols\n        if (code < 48 || code > maxCode) return NaN;\n      } return parseInt(digits, radix);\n    }\n  } return +it;\n};\n\nif (!$Number(' 0o1') || !$Number('0b1') || $Number('+0x1')) {\n  $Number = function Number(value) {\n    var it = arguments.length < 1 ? 0 : value;\n    var that = this;\n    return that instanceof $Number\n      // check on 1..constructor(foo) case\n      && (BROKEN_COF ? fails(function () { proto.valueOf.call(that); }) : cof(that) != NUMBER)\n        ? inheritIfRequired(new Base(toNumber(it)), that, $Number) : toNumber(it);\n  };\n  for (var keys = require('./_descriptors') ? gOPN(Base) : (\n    // ES3:\n    'MAX_VALUE,MIN_VALUE,NaN,NEGATIVE_INFINITY,POSITIVE_INFINITY,' +\n    // ES6 (in case, if modules with ES6 Number statics required before):\n    'EPSILON,isFinite,isInteger,isNaN,isSafeInteger,MAX_SAFE_INTEGER,' +\n    'MIN_SAFE_INTEGER,parseFloat,parseInt,isInteger'\n  ).split(','), j = 0, key; keys.length > j; j++) {\n    if (has(Base, key = keys[j]) && !has($Number, key)) {\n      dP($Number, key, gOPD(Base, key));\n    }\n  }\n  $Number.prototype = proto;\n  proto.constructor = $Number;\n  require('./_redefine')(global, NUMBER, $Number);\n}\n","var cof = require('./_cof');\nmodule.exports = function (it, msg) {\n  if (typeof it != 'number' && cof(it) != 'Number') throw TypeError(msg);\n  return +it;\n};\n","'use strict';\nvar toInteger = require('./_to-integer');\nvar defined = require('./_defined');\n\nmodule.exports = function repeat(count) {\n  var str = String(defined(this));\n  var res = '';\n  var n = toInteger(count);\n  if (n < 0 || n == Infinity) throw RangeError(\"Count can't be negative\");\n  for (;n > 0; (n >>>= 1) && (str += str)) if (n & 1) res += str;\n  return res;\n};\n","'use strict';\nvar $export = require('./_export');\nvar toInteger = require('./_to-integer');\nvar aNumberValue = require('./_a-number-value');\nvar repeat = require('./_string-repeat');\nvar $toFixed = 1.0.toFixed;\nvar floor = Math.floor;\nvar data = [0, 0, 0, 0, 0, 0];\nvar ERROR = 'Number.toFixed: incorrect invocation!';\nvar ZERO = '0';\n\nvar multiply = function (n, c) {\n  var i = -1;\n  var c2 = c;\n  while (++i < 6) {\n    c2 += n * data[i];\n    data[i] = c2 % 1e7;\n    c2 = floor(c2 / 1e7);\n  }\n};\nvar divide = function (n) {\n  var i = 6;\n  var c = 0;\n  while (--i >= 0) {\n    c += data[i];\n    data[i] = floor(c / n);\n    c = (c % n) * 1e7;\n  }\n};\nvar numToString = function () {\n  var i = 6;\n  var s = '';\n  while (--i >= 0) {\n    if (s !== '' || i === 0 || data[i] !== 0) {\n      var t = String(data[i]);\n      s = s === '' ? t : s + repeat.call(ZERO, 7 - t.length) + t;\n    }\n  } return s;\n};\nvar pow = function (x, n, acc) {\n  return n === 0 ? acc : n % 2 === 1 ? pow(x, n - 1, acc * x) : pow(x * x, n / 2, acc);\n};\nvar log = function (x) {\n  var n = 0;\n  var x2 = x;\n  while (x2 >= 4096) {\n    n += 12;\n    x2 /= 4096;\n  }\n  while (x2 >= 2) {\n    n += 1;\n    x2 /= 2;\n  } return n;\n};\n\n$export($export.P + $export.F * (!!$toFixed && (\n  0.00008.toFixed(3) !== '0.000' ||\n  0.9.toFixed(0) !== '1' ||\n  1.255.toFixed(2) !== '1.25' ||\n  1000000000000000128.0.toFixed(0) !== '1000000000000000128'\n) || !require('./_fails')(function () {\n  // V8 ~ Android 4.3-\n  $toFixed.call({});\n})), 'Number', {\n  toFixed: function toFixed(fractionDigits) {\n    var x = aNumberValue(this, ERROR);\n    var f = toInteger(fractionDigits);\n    var s = '';\n    var m = ZERO;\n    var e, z, j, k;\n    if (f < 0 || f > 20) throw RangeError(ERROR);\n    // eslint-disable-next-line no-self-compare\n    if (x != x) return 'NaN';\n    if (x <= -1e21 || x >= 1e21) return String(x);\n    if (x < 0) {\n      s = '-';\n      x = -x;\n    }\n    if (x > 1e-21) {\n      e = log(x * pow(2, 69, 1)) - 69;\n      z = e < 0 ? x * pow(2, -e, 1) : x / pow(2, e, 1);\n      z *= 0x10000000000000;\n      e = 52 - e;\n      if (e > 0) {\n        multiply(0, z);\n        j = f;\n        while (j >= 7) {\n          multiply(1e7, 0);\n          j -= 7;\n        }\n        multiply(pow(10, j, 1), 0);\n        j = e - 1;\n        while (j >= 23) {\n          divide(1 << 23);\n          j -= 23;\n        }\n        divide(1 << j);\n        multiply(1, 1);\n        divide(2);\n        m = numToString();\n      } else {\n        multiply(0, z);\n        multiply(1 << -e, 0);\n        m = numToString() + repeat.call(ZERO, f);\n      }\n    }\n    if (f > 0) {\n      k = m.length;\n      m = s + (k <= f ? '0.' + repeat.call(ZERO, f - k) + m : m.slice(0, k - f) + '.' + m.slice(k - f));\n    } else {\n      m = s + m;\n    } return m;\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $fails = require('./_fails');\nvar aNumberValue = require('./_a-number-value');\nvar $toPrecision = 1.0.toPrecision;\n\n$export($export.P + $export.F * ($fails(function () {\n  // IE7-\n  return $toPrecision.call(1, undefined) !== '1';\n}) || !$fails(function () {\n  // V8 ~ Android 4.3-\n  $toPrecision.call({});\n})), 'Number', {\n  toPrecision: function toPrecision(precision) {\n    var that = aNumberValue(this, 'Number#toPrecision: incorrect invocation!');\n    return precision === undefined ? $toPrecision.call(that) : $toPrecision.call(that, precision);\n  }\n});\n","// 20.1.2.1 Number.EPSILON\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { EPSILON: Math.pow(2, -52) });\n","// 20.1.2.2 Number.isFinite(number)\nvar $export = require('./_export');\nvar _isFinite = require('./_global').isFinite;\n\n$export($export.S, 'Number', {\n  isFinite: function isFinite(it) {\n    return typeof it == 'number' && _isFinite(it);\n  }\n});\n","// 20.1.2.3 Number.isInteger(number)\nvar isObject = require('./_is-object');\nvar floor = Math.floor;\nmodule.exports = function isInteger(it) {\n  return !isObject(it) && isFinite(it) && floor(it) === it;\n};\n","// 20.1.2.3 Number.isInteger(number)\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { isInteger: require('./_is-integer') });\n","// 20.1.2.4 Number.isNaN(number)\nvar $export = require('./_export');\n\n$export($export.S, 'Number', {\n  isNaN: function isNaN(number) {\n    // eslint-disable-next-line no-self-compare\n    return number != number;\n  }\n});\n","// 20.1.2.5 Number.isSafeInteger(number)\nvar $export = require('./_export');\nvar isInteger = require('./_is-integer');\nvar abs = Math.abs;\n\n$export($export.S, 'Number', {\n  isSafeInteger: function isSafeInteger(number) {\n    return isInteger(number) && abs(number) <= 0x1fffffffffffff;\n  }\n});\n","// 20.1.2.6 Number.MAX_SAFE_INTEGER\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { MAX_SAFE_INTEGER: 0x1fffffffffffff });\n","// 20.1.2.10 Number.MIN_SAFE_INTEGER\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { MIN_SAFE_INTEGER: -0x1fffffffffffff });\n","var $export = require('./_export');\nvar $parseFloat = require('./_parse-float');\n// 20.1.2.12 Number.parseFloat(string)\n$export($export.S + $export.F * (Number.parseFloat != $parseFloat), 'Number', { parseFloat: $parseFloat });\n","var $export = require('./_export');\nvar $parseInt = require('./_parse-int');\n// 20.1.2.13 Number.parseInt(string, radix)\n$export($export.S + $export.F * (Number.parseInt != $parseInt), 'Number', { parseInt: $parseInt });\n","// 20.2.2.20 Math.log1p(x)\nmodule.exports = Math.log1p || function log1p(x) {\n  return (x = +x) > -1e-8 && x < 1e-8 ? x - x * x / 2 : Math.log(1 + x);\n};\n","// 20.2.2.3 Math.acosh(x)\nvar $export = require('./_export');\nvar log1p = require('./_math-log1p');\nvar sqrt = Math.sqrt;\nvar $acosh = Math.acosh;\n\n$export($export.S + $export.F * !($acosh\n  // V8 bug: https://code.google.com/p/v8/issues/detail?id=3509\n  && Math.floor($acosh(Number.MAX_VALUE)) == 710\n  // Tor Browser bug: Math.acosh(Infinity) -> NaN\n  && $acosh(Infinity) == Infinity\n), 'Math', {\n  acosh: function acosh(x) {\n    return (x = +x) < 1 ? NaN : x > 94906265.62425156\n      ? Math.log(x) + Math.LN2\n      : log1p(x - 1 + sqrt(x - 1) * sqrt(x + 1));\n  }\n});\n","// 20.2.2.5 Math.asinh(x)\nvar $export = require('./_export');\nvar $asinh = Math.asinh;\n\nfunction asinh(x) {\n  return !isFinite(x = +x) || x == 0 ? x : x < 0 ? -asinh(-x) : Math.log(x + Math.sqrt(x * x + 1));\n}\n\n// Tor Browser bug: Math.asinh(0) -> -0\n$export($export.S + $export.F * !($asinh && 1 / $asinh(0) > 0), 'Math', { asinh: asinh });\n","// 20.2.2.7 Math.atanh(x)\nvar $export = require('./_export');\nvar $atanh = Math.atanh;\n\n// Tor Browser bug: Math.atanh(-0) -> 0\n$export($export.S + $export.F * !($atanh && 1 / $atanh(-0) < 0), 'Math', {\n  atanh: function atanh(x) {\n    return (x = +x) == 0 ? x : Math.log((1 + x) / (1 - x)) / 2;\n  }\n});\n","// 20.2.2.28 Math.sign(x)\nmodule.exports = Math.sign || function sign(x) {\n  // eslint-disable-next-line no-self-compare\n  return (x = +x) == 0 || x != x ? x : x < 0 ? -1 : 1;\n};\n","// 20.2.2.9 Math.cbrt(x)\nvar $export = require('./_export');\nvar sign = require('./_math-sign');\n\n$export($export.S, 'Math', {\n  cbrt: function cbrt(x) {\n    return sign(x = +x) * Math.pow(Math.abs(x), 1 / 3);\n  }\n});\n","// 20.2.2.11 Math.clz32(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  clz32: function clz32(x) {\n    return (x >>>= 0) ? 31 - Math.floor(Math.log(x + 0.5) * Math.LOG2E) : 32;\n  }\n});\n","// 20.2.2.12 Math.cosh(x)\nvar $export = require('./_export');\nvar exp = Math.exp;\n\n$export($export.S, 'Math', {\n  cosh: function cosh(x) {\n    return (exp(x = +x) + exp(-x)) / 2;\n  }\n});\n","// 20.2.2.14 Math.expm1(x)\nvar $expm1 = Math.expm1;\nmodule.exports = (!$expm1\n  // Old FF bug\n  || $expm1(10) > 22025.465794806719 || $expm1(10) < 22025.4657948067165168\n  // Tor Browser bug\n  || $expm1(-2e-17) != -2e-17\n) ? function expm1(x) {\n  return (x = +x) == 0 ? x : x > -1e-6 && x < 1e-6 ? x + x * x / 2 : Math.exp(x) - 1;\n} : $expm1;\n","// 20.2.2.14 Math.expm1(x)\nvar $export = require('./_export');\nvar $expm1 = require('./_math-expm1');\n\n$export($export.S + $export.F * ($expm1 != Math.expm1), 'Math', { expm1: $expm1 });\n","// 20.2.2.16 Math.fround(x)\nvar sign = require('./_math-sign');\nvar pow = Math.pow;\nvar EPSILON = pow(2, -52);\nvar EPSILON32 = pow(2, -23);\nvar MAX32 = pow(2, 127) * (2 - EPSILON32);\nvar MIN32 = pow(2, -126);\n\nvar roundTiesToEven = function (n) {\n  return n + 1 / EPSILON - 1 / EPSILON;\n};\n\nmodule.exports = Math.fround || function fround(x) {\n  var $abs = Math.abs(x);\n  var $sign = sign(x);\n  var a, result;\n  if ($abs < MIN32) return $sign * roundTiesToEven($abs / MIN32 / EPSILON32) * MIN32 * EPSILON32;\n  a = (1 + EPSILON32 / EPSILON) * $abs;\n  result = a - (a - $abs);\n  // eslint-disable-next-line no-self-compare\n  if (result > MAX32 || result != result) return $sign * Infinity;\n  return $sign * result;\n};\n","// 20.2.2.16 Math.fround(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { fround: require('./_math-fround') });\n","// 20.2.2.17 Math.hypot([value1[, value2[, … ]]])\nvar $export = require('./_export');\nvar abs = Math.abs;\n\n$export($export.S, 'Math', {\n  hypot: function hypot(value1, value2) { // eslint-disable-line no-unused-vars\n    var sum = 0;\n    var i = 0;\n    var aLen = arguments.length;\n    var larg = 0;\n    var arg, div;\n    while (i < aLen) {\n      arg = abs(arguments[i++]);\n      if (larg < arg) {\n        div = larg / arg;\n        sum = sum * div * div + 1;\n        larg = arg;\n      } else if (arg > 0) {\n        div = arg / larg;\n        sum += div * div;\n      } else sum += arg;\n    }\n    return larg === Infinity ? Infinity : larg * Math.sqrt(sum);\n  }\n});\n","// 20.2.2.18 Math.imul(x, y)\nvar $export = require('./_export');\nvar $imul = Math.imul;\n\n// some WebKit versions fails with big numbers, some has wrong arity\n$export($export.S + $export.F * require('./_fails')(function () {\n  return $imul(0xffffffff, 5) != -5 || $imul.length != 2;\n}), 'Math', {\n  imul: function imul(x, y) {\n    var UINT16 = 0xffff;\n    var xn = +x;\n    var yn = +y;\n    var xl = UINT16 & xn;\n    var yl = UINT16 & yn;\n    return 0 | xl * yl + ((UINT16 & xn >>> 16) * yl + xl * (UINT16 & yn >>> 16) << 16 >>> 0);\n  }\n});\n","// 20.2.2.21 Math.log10(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  log10: function log10(x) {\n    return Math.log(x) * Math.LOG10E;\n  }\n});\n","// 20.2.2.20 Math.log1p(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { log1p: require('./_math-log1p') });\n","// 20.2.2.22 Math.log2(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  log2: function log2(x) {\n    return Math.log(x) / Math.LN2;\n  }\n});\n","// 20.2.2.28 Math.sign(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { sign: require('./_math-sign') });\n","// 20.2.2.30 Math.sinh(x)\nvar $export = require('./_export');\nvar expm1 = require('./_math-expm1');\nvar exp = Math.exp;\n\n// V8 near Chromium 38 has a problem with very small numbers\n$export($export.S + $export.F * require('./_fails')(function () {\n  return !Math.sinh(-2e-17) != -2e-17;\n}), 'Math', {\n  sinh: function sinh(x) {\n    return Math.abs(x = +x) < 1\n      ? (expm1(x) - expm1(-x)) / 2\n      : (exp(x - 1) - exp(-x - 1)) * (Math.E / 2);\n  }\n});\n","// 20.2.2.33 Math.tanh(x)\nvar $export = require('./_export');\nvar expm1 = require('./_math-expm1');\nvar exp = Math.exp;\n\n$export($export.S, 'Math', {\n  tanh: function tanh(x) {\n    var a = expm1(x = +x);\n    var b = expm1(-x);\n    return a == Infinity ? 1 : b == Infinity ? -1 : (a - b) / (exp(x) + exp(-x));\n  }\n});\n","// 20.2.2.34 Math.trunc(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  trunc: function trunc(it) {\n    return (it > 0 ? Math.floor : Math.ceil)(it);\n  }\n});\n","var $export = require('./_export');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar fromCharCode = String.fromCharCode;\nvar $fromCodePoint = String.fromCodePoint;\n\n// length should be 1, old FF problem\n$export($export.S + $export.F * (!!$fromCodePoint && $fromCodePoint.length != 1), 'String', {\n  // 21.1.2.2 String.fromCodePoint(...codePoints)\n  fromCodePoint: function fromCodePoint(x) { // eslint-disable-line no-unused-vars\n    var res = [];\n    var aLen = arguments.length;\n    var i = 0;\n    var code;\n    while (aLen > i) {\n      code = +arguments[i++];\n      if (toAbsoluteIndex(code, 0x10ffff) !== code) throw RangeError(code + ' is not a valid code point');\n      res.push(code < 0x10000\n        ? fromCharCode(code)\n        : fromCharCode(((code -= 0x10000) >> 10) + 0xd800, code % 0x400 + 0xdc00)\n      );\n    } return res.join('');\n  }\n});\n","var $export = require('./_export');\nvar toIObject = require('./_to-iobject');\nvar toLength = require('./_to-length');\n\n$export($export.S, 'String', {\n  // 21.1.2.4 String.raw(callSite, ...substitutions)\n  raw: function raw(callSite) {\n    var tpl = toIObject(callSite.raw);\n    var len = toLength(tpl.length);\n    var aLen = arguments.length;\n    var res = [];\n    var i = 0;\n    while (len > i) {\n      res.push(String(tpl[i++]));\n      if (i < aLen) res.push(String(arguments[i]));\n    } return res.join('');\n  }\n});\n","'use strict';\n// 21.1.3.25 String.prototype.trim()\nrequire('./_string-trim')('trim', function ($trim) {\n  return function trim() {\n    return $trim(this, 3);\n  };\n});\n","var toInteger = require('./_to-integer');\nvar defined = require('./_defined');\n// true  -> String#at\n// false -> String#codePointAt\nmodule.exports = function (TO_STRING) {\n  return function (that, pos) {\n    var s = String(defined(that));\n    var i = toInteger(pos);\n    var l = s.length;\n    var a, b;\n    if (i < 0 || i >= l) return TO_STRING ? '' : undefined;\n    a = s.charCodeAt(i);\n    return a < 0xd800 || a > 0xdbff || i + 1 === l || (b = s.charCodeAt(i + 1)) < 0xdc00 || b > 0xdfff\n      ? TO_STRING ? s.charAt(i) : a\n      : TO_STRING ? s.slice(i, i + 2) : (a - 0xd800 << 10) + (b - 0xdc00) + 0x10000;\n  };\n};\n","module.exports = {};\n","'use strict';\nvar create = require('./_object-create');\nvar descriptor = require('./_property-desc');\nvar setToStringTag = require('./_set-to-string-tag');\nvar IteratorPrototype = {};\n\n// 25.1.2.1.1 %IteratorPrototype%[@@iterator]()\nrequire('./_hide')(IteratorPrototype, require('./_wks')('iterator'), function () { return this; });\n\nmodule.exports = function (Constructor, NAME, next) {\n  Constructor.prototype = create(IteratorPrototype, { next: descriptor(1, next) });\n  setToStringTag(Constructor, NAME + ' Iterator');\n};\n","'use strict';\nvar LIBRARY = require('./_library');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar hide = require('./_hide');\nvar Iterators = require('./_iterators');\nvar $iterCreate = require('./_iter-create');\nvar setToStringTag = require('./_set-to-string-tag');\nvar getPrototypeOf = require('./_object-gpo');\nvar ITERATOR = require('./_wks')('iterator');\nvar BUGGY = !([].keys && 'next' in [].keys()); // Safari has buggy iterators w/o `next`\nvar FF_ITERATOR = '@@iterator';\nvar KEYS = 'keys';\nvar VALUES = 'values';\n\nvar returnThis = function () { return this; };\n\nmodule.exports = function (Base, NAME, Constructor, next, DEFAULT, IS_SET, FORCED) {\n  $iterCreate(Constructor, NAME, next);\n  var getMethod = function (kind) {\n    if (!BUGGY && kind in proto) return proto[kind];\n    switch (kind) {\n      case KEYS: return function keys() { return new Constructor(this, kind); };\n      case VALUES: return function values() { return new Constructor(this, kind); };\n    } return function entries() { return new Constructor(this, kind); };\n  };\n  var TAG = NAME + ' Iterator';\n  var DEF_VALUES = DEFAULT == VALUES;\n  var VALUES_BUG = false;\n  var proto = Base.prototype;\n  var $native = proto[ITERATOR] || proto[FF_ITERATOR] || DEFAULT && proto[DEFAULT];\n  var $default = $native || getMethod(DEFAULT);\n  var $entries = DEFAULT ? !DEF_VALUES ? $default : getMethod('entries') : undefined;\n  var $anyNative = NAME == 'Array' ? proto.entries || $native : $native;\n  var methods, key, IteratorPrototype;\n  // Fix native\n  if ($anyNative) {\n    IteratorPrototype = getPrototypeOf($anyNative.call(new Base()));\n    if (IteratorPrototype !== Object.prototype && IteratorPrototype.next) {\n      // Set @@toStringTag to native iterators\n      setToStringTag(IteratorPrototype, TAG, true);\n      // fix for some old engines\n      if (!LIBRARY && typeof IteratorPrototype[ITERATOR] != 'function') hide(IteratorPrototype, ITERATOR, returnThis);\n    }\n  }\n  // fix Array#{values, @@iterator}.name in V8 / FF\n  if (DEF_VALUES && $native && $native.name !== VALUES) {\n    VALUES_BUG = true;\n    $default = function values() { return $native.call(this); };\n  }\n  // Define iterator\n  if ((!LIBRARY || FORCED) && (BUGGY || VALUES_BUG || !proto[ITERATOR])) {\n    hide(proto, ITERATOR, $default);\n  }\n  // Plug for library\n  Iterators[NAME] = $default;\n  Iterators[TAG] = returnThis;\n  if (DEFAULT) {\n    methods = {\n      values: DEF_VALUES ? $default : getMethod(VALUES),\n      keys: IS_SET ? $default : getMethod(KEYS),\n      entries: $entries\n    };\n    if (FORCED) for (key in methods) {\n      if (!(key in proto)) redefine(proto, key, methods[key]);\n    } else $export($export.P + $export.F * (BUGGY || VALUES_BUG), NAME, methods);\n  }\n  return methods;\n};\n","'use strict';\nvar $at = require('./_string-at')(true);\n\n// 21.1.3.27 String.prototype[@@iterator]()\nrequire('./_iter-define')(String, 'String', function (iterated) {\n  this._t = String(iterated); // target\n  this._i = 0;                // next index\n// 21.1.5.2.1 %StringIteratorPrototype%.next()\n}, function () {\n  var O = this._t;\n  var index = this._i;\n  var point;\n  if (index >= O.length) return { value: undefined, done: true };\n  point = $at(O, index);\n  this._i += point.length;\n  return { value: point, done: false };\n});\n","'use strict';\nvar $export = require('./_export');\nvar $at = require('./_string-at')(false);\n$export($export.P, 'String', {\n  // 21.1.3.3 String.prototype.codePointAt(pos)\n  codePointAt: function codePointAt(pos) {\n    return $at(this, pos);\n  }\n});\n","// 7.2.8 IsRegExp(argument)\nvar isObject = require('./_is-object');\nvar cof = require('./_cof');\nvar MATCH = require('./_wks')('match');\nmodule.exports = function (it) {\n  var isRegExp;\n  return isObject(it) && ((isRegExp = it[MATCH]) !== undefined ? !!isRegExp : cof(it) == 'RegExp');\n};\n","// helper for String#{startsWith, endsWith, includes}\nvar isRegExp = require('./_is-regexp');\nvar defined = require('./_defined');\n\nmodule.exports = function (that, searchString, NAME) {\n  if (isRegExp(searchString)) throw TypeError('String#' + NAME + \" doesn't accept regex!\");\n  return String(defined(that));\n};\n","var MATCH = require('./_wks')('match');\nmodule.exports = function (KEY) {\n  var re = /./;\n  try {\n    '/./'[KEY](re);\n  } catch (e) {\n    try {\n      re[MATCH] = false;\n      return !'/./'[KEY](re);\n    } catch (f) { /* empty */ }\n  } return true;\n};\n","// 21.1.3.6 String.prototype.endsWith(searchString [, endPosition])\n'use strict';\nvar $export = require('./_export');\nvar toLength = require('./_to-length');\nvar context = require('./_string-context');\nvar ENDS_WITH = 'endsWith';\nvar $endsWith = ''[ENDS_WITH];\n\n$export($export.P + $export.F * require('./_fails-is-regexp')(ENDS_WITH), 'String', {\n  endsWith: function endsWith(searchString /* , endPosition = @length */) {\n    var that = context(this, searchString, ENDS_WITH);\n    var endPosition = arguments.length > 1 ? arguments[1] : undefined;\n    var len = toLength(that.length);\n    var end = endPosition === undefined ? len : Math.min(toLength(endPosition), len);\n    var search = String(searchString);\n    return $endsWith\n      ? $endsWith.call(that, search, end)\n      : that.slice(end - search.length, end) === search;\n  }\n});\n","// 21.1.3.7 String.prototype.includes(searchString, position = 0)\n'use strict';\nvar $export = require('./_export');\nvar context = require('./_string-context');\nvar INCLUDES = 'includes';\n\n$export($export.P + $export.F * require('./_fails-is-regexp')(INCLUDES), 'String', {\n  includes: function includes(searchString /* , position = 0 */) {\n    return !!~context(this, searchString, INCLUDES)\n      .indexOf(searchString, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\n","var $export = require('./_export');\n\n$export($export.P, 'String', {\n  // 21.1.3.13 String.prototype.repeat(count)\n  repeat: require('./_string-repeat')\n});\n","// 21.1.3.18 String.prototype.startsWith(searchString [, position ])\n'use strict';\nvar $export = require('./_export');\nvar toLength = require('./_to-length');\nvar context = require('./_string-context');\nvar STARTS_WITH = 'startsWith';\nvar $startsWith = ''[STARTS_WITH];\n\n$export($export.P + $export.F * require('./_fails-is-regexp')(STARTS_WITH), 'String', {\n  startsWith: function startsWith(searchString /* , position = 0 */) {\n    var that = context(this, searchString, STARTS_WITH);\n    var index = toLength(Math.min(arguments.length > 1 ? arguments[1] : undefined, that.length));\n    var search = String(searchString);\n    return $startsWith\n      ? $startsWith.call(that, search, index)\n      : that.slice(index, index + search.length) === search;\n  }\n});\n","var $export = require('./_export');\nvar fails = require('./_fails');\nvar defined = require('./_defined');\nvar quot = /\"/g;\n// B.2.3.2.1 CreateHTML(string, tag, attribute, value)\nvar createHTML = function (string, tag, attribute, value) {\n  var S = String(defined(string));\n  var p1 = '<' + tag;\n  if (attribute !== '') p1 += ' ' + attribute + '=\"' + String(value).replace(quot, '&quot;') + '\"';\n  return p1 + '>' + S + '</' + tag + '>';\n};\nmodule.exports = function (NAME, exec) {\n  var O = {};\n  O[NAME] = exec(createHTML);\n  $export($export.P + $export.F * fails(function () {\n    var test = ''[NAME]('\"');\n    return test !== test.toLowerCase() || test.split('\"').length > 3;\n  }), 'String', O);\n};\n","'use strict';\n// B.2.3.2 String.prototype.anchor(name)\nrequire('./_string-html')('anchor', function (createHTML) {\n  return function anchor(name) {\n    return createHTML(this, 'a', 'name', name);\n  };\n});\n","'use strict';\n// B.2.3.3 String.prototype.big()\nrequire('./_string-html')('big', function (createHTML) {\n  return function big() {\n    return createHTML(this, 'big', '', '');\n  };\n});\n","'use strict';\n// B.2.3.4 String.prototype.blink()\nrequire('./_string-html')('blink', function (createHTML) {\n  return function blink() {\n    return createHTML(this, 'blink', '', '');\n  };\n});\n","'use strict';\n// B.2.3.5 String.prototype.bold()\nrequire('./_string-html')('bold', function (createHTML) {\n  return function bold() {\n    return createHTML(this, 'b', '', '');\n  };\n});\n","'use strict';\n// B.2.3.6 String.prototype.fixed()\nrequire('./_string-html')('fixed', function (createHTML) {\n  return function fixed() {\n    return createHTML(this, 'tt', '', '');\n  };\n});\n","'use strict';\n// B.2.3.7 String.prototype.fontcolor(color)\nrequire('./_string-html')('fontcolor', function (createHTML) {\n  return function fontcolor(color) {\n    return createHTML(this, 'font', 'color', color);\n  };\n});\n","'use strict';\n// B.2.3.8 String.prototype.fontsize(size)\nrequire('./_string-html')('fontsize', function (createHTML) {\n  return function fontsize(size) {\n    return createHTML(this, 'font', 'size', size);\n  };\n});\n","'use strict';\n// B.2.3.9 String.prototype.italics()\nrequire('./_string-html')('italics', function (createHTML) {\n  return function italics() {\n    return createHTML(this, 'i', '', '');\n  };\n});\n","'use strict';\n// B.2.3.10 String.prototype.link(url)\nrequire('./_string-html')('link', function (createHTML) {\n  return function link(url) {\n    return createHTML(this, 'a', 'href', url);\n  };\n});\n","'use strict';\n// B.2.3.11 String.prototype.small()\nrequire('./_string-html')('small', function (createHTML) {\n  return function small() {\n    return createHTML(this, 'small', '', '');\n  };\n});\n","'use strict';\n// B.2.3.12 String.prototype.strike()\nrequire('./_string-html')('strike', function (createHTML) {\n  return function strike() {\n    return createHTML(this, 'strike', '', '');\n  };\n});\n","'use strict';\n// B.2.3.13 String.prototype.sub()\nrequire('./_string-html')('sub', function (createHTML) {\n  return function sub() {\n    return createHTML(this, 'sub', '', '');\n  };\n});\n","'use strict';\n// B.2.3.14 String.prototype.sup()\nrequire('./_string-html')('sup', function (createHTML) {\n  return function sup() {\n    return createHTML(this, 'sup', '', '');\n  };\n});\n","// 20.3.3.1 / 15.9.4.4 Date.now()\nvar $export = require('./_export');\n\n$export($export.S, 'Date', { now: function () { return new Date().getTime(); } });\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar toPrimitive = require('./_to-primitive');\n\n$export($export.P + $export.F * require('./_fails')(function () {\n  return new Date(NaN).toJSON() !== null\n    || Date.prototype.toJSON.call({ toISOString: function () { return 1; } }) !== 1;\n}), 'Date', {\n  // eslint-disable-next-line no-unused-vars\n  toJSON: function toJSON(key) {\n    var O = toObject(this);\n    var pv = toPrimitive(O);\n    return typeof pv == 'number' && !isFinite(pv) ? null : O.toISOString();\n  }\n});\n","'use strict';\n// 20.3.4.36 / 15.9.5.43 Date.prototype.toISOString()\nvar fails = require('./_fails');\nvar getTime = Date.prototype.getTime;\nvar $toISOString = Date.prototype.toISOString;\n\nvar lz = function (num) {\n  return num > 9 ? num : '0' + num;\n};\n\n// PhantomJS / old WebKit has a broken implementations\nmodule.exports = (fails(function () {\n  return $toISOString.call(new Date(-5e13 - 1)) != '0385-07-25T07:06:39.999Z';\n}) || !fails(function () {\n  $toISOString.call(new Date(NaN));\n})) ? function toISOString() {\n  if (!isFinite(getTime.call(this))) throw RangeError('Invalid time value');\n  var d = this;\n  var y = d.getUTCFullYear();\n  var m = d.getUTCMilliseconds();\n  var s = y < 0 ? '-' : y > 9999 ? '+' : '';\n  return s + ('00000' + Math.abs(y)).slice(s ? -6 : -4) +\n    '-' + lz(d.getUTCMonth() + 1) + '-' + lz(d.getUTCDate()) +\n    'T' + lz(d.getUTCHours()) + ':' + lz(d.getUTCMinutes()) +\n    ':' + lz(d.getUTCSeconds()) + '.' + (m > 99 ? m : '0' + lz(m)) + 'Z';\n} : $toISOString;\n","// 20.3.4.36 / 15.9.5.43 Date.prototype.toISOString()\nvar $export = require('./_export');\nvar toISOString = require('./_date-to-iso-string');\n\n// PhantomJS / old WebKit has a broken implementations\n$export($export.P + $export.F * (Date.prototype.toISOString !== toISOString), 'Date', {\n  toISOString: toISOString\n});\n","var DateProto = Date.prototype;\nvar INVALID_DATE = 'Invalid Date';\nvar TO_STRING = 'toString';\nvar $toString = DateProto[TO_STRING];\nvar getTime = DateProto.getTime;\nif (new Date(NaN) + '' != INVALID_DATE) {\n  require('./_redefine')(DateProto, TO_STRING, function toString() {\n    var value = getTime.call(this);\n    // eslint-disable-next-line no-self-compare\n    return value === value ? $toString.call(this) : INVALID_DATE;\n  });\n}\n","'use strict';\nvar anObject = require('./_an-object');\nvar toPrimitive = require('./_to-primitive');\nvar NUMBER = 'number';\n\nmodule.exports = function (hint) {\n  if (hint !== 'string' && hint !== NUMBER && hint !== 'default') throw TypeError('Incorrect hint');\n  return toPrimitive(anObject(this), hint != NUMBER);\n};\n","var TO_PRIMITIVE = require('./_wks')('toPrimitive');\nvar proto = Date.prototype;\n\nif (!(TO_PRIMITIVE in proto)) require('./_hide')(proto, TO_PRIMITIVE, require('./_date-to-primitive'));\n","// 22.1.2.2 / 15.4.3.2 Array.isArray(arg)\nvar $export = require('./_export');\n\n$export($export.S, 'Array', { isArray: require('./_is-array') });\n","// call something on iterator step with safe closing on error\nvar anObject = require('./_an-object');\nmodule.exports = function (iterator, fn, value, entries) {\n  try {\n    return entries ? fn(anObject(value)[0], value[1]) : fn(value);\n  // 7.4.6 IteratorClose(iterator, completion)\n  } catch (e) {\n    var ret = iterator['return'];\n    if (ret !== undefined) anObject(ret.call(iterator));\n    throw e;\n  }\n};\n","// check on default Array iterator\nvar Iterators = require('./_iterators');\nvar ITERATOR = require('./_wks')('iterator');\nvar ArrayProto = Array.prototype;\n\nmodule.exports = function (it) {\n  return it !== undefined && (Iterators.Array === it || ArrayProto[ITERATOR] === it);\n};\n","'use strict';\nvar $defineProperty = require('./_object-dp');\nvar createDesc = require('./_property-desc');\n\nmodule.exports = function (object, index, value) {\n  if (index in object) $defineProperty.f(object, index, createDesc(0, value));\n  else object[index] = value;\n};\n","var classof = require('./_classof');\nvar ITERATOR = require('./_wks')('iterator');\nvar Iterators = require('./_iterators');\nmodule.exports = require('./_core').getIteratorMethod = function (it) {\n  if (it != undefined) return it[ITERATOR]\n    || it['@@iterator']\n    || Iterators[classof(it)];\n};\n","var ITERATOR = require('./_wks')('iterator');\nvar SAFE_CLOSING = false;\n\ntry {\n  var riter = [7][ITERATOR]();\n  riter['return'] = function () { SAFE_CLOSING = true; };\n  // eslint-disable-next-line no-throw-literal\n  Array.from(riter, function () { throw 2; });\n} catch (e) { /* empty */ }\n\nmodule.exports = function (exec, skipClosing) {\n  if (!skipClosing && !SAFE_CLOSING) return false;\n  var safe = false;\n  try {\n    var arr = [7];\n    var iter = arr[ITERATOR]();\n    iter.next = function () { return { done: safe = true }; };\n    arr[ITERATOR] = function () { return iter; };\n    exec(arr);\n  } catch (e) { /* empty */ }\n  return safe;\n};\n","'use strict';\nvar ctx = require('./_ctx');\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar call = require('./_iter-call');\nvar isArrayIter = require('./_is-array-iter');\nvar toLength = require('./_to-length');\nvar createProperty = require('./_create-property');\nvar getIterFn = require('./core.get-iterator-method');\n\n$export($export.S + $export.F * !require('./_iter-detect')(function (iter) { Array.from(iter); }), 'Array', {\n  // 22.1.2.1 Array.from(arrayLike, mapfn = undefined, thisArg = undefined)\n  from: function from(arrayLike /* , mapfn = undefined, thisArg = undefined */) {\n    var O = toObject(arrayLike);\n    var C = typeof this == 'function' ? this : Array;\n    var aLen = arguments.length;\n    var mapfn = aLen > 1 ? arguments[1] : undefined;\n    var mapping = mapfn !== undefined;\n    var index = 0;\n    var iterFn = getIterFn(O);\n    var length, result, step, iterator;\n    if (mapping) mapfn = ctx(mapfn, aLen > 2 ? arguments[2] : undefined, 2);\n    // if object isn't iterable or it's array with default iterator - use simple case\n    if (iterFn != undefined && !(C == Array && isArrayIter(iterFn))) {\n      for (iterator = iterFn.call(O), result = new C(); !(step = iterator.next()).done; index++) {\n        createProperty(result, index, mapping ? call(iterator, mapfn, [step.value, index], true) : step.value);\n      }\n    } else {\n      length = toLength(O.length);\n      for (result = new C(length); length > index; index++) {\n        createProperty(result, index, mapping ? mapfn(O[index], index) : O[index]);\n      }\n    }\n    result.length = index;\n    return result;\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar createProperty = require('./_create-property');\n\n// WebKit Array.of isn't generic\n$export($export.S + $export.F * require('./_fails')(function () {\n  function F() { /* empty */ }\n  return !(Array.of.call(F) instanceof F);\n}), 'Array', {\n  // 22.1.2.3 Array.of( ...items)\n  of: function of(/* ...args */) {\n    var index = 0;\n    var aLen = arguments.length;\n    var result = new (typeof this == 'function' ? this : Array)(aLen);\n    while (aLen > index) createProperty(result, index, arguments[index++]);\n    result.length = aLen;\n    return result;\n  }\n});\n","'use strict';\nvar fails = require('./_fails');\n\nmodule.exports = function (method, arg) {\n  return !!method && fails(function () {\n    // eslint-disable-next-line no-useless-call\n    arg ? method.call(null, function () { /* empty */ }, 1) : method.call(null);\n  });\n};\n","'use strict';\n// 22.1.3.13 Array.prototype.join(separator)\nvar $export = require('./_export');\nvar toIObject = require('./_to-iobject');\nvar arrayJoin = [].join;\n\n// fallback for not array-like strings\n$export($export.P + $export.F * (require('./_iobject') != Object || !require('./_strict-method')(arrayJoin)), 'Array', {\n  join: function join(separator) {\n    return arrayJoin.call(toIObject(this), separator === undefined ? ',' : separator);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar html = require('./_html');\nvar cof = require('./_cof');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\nvar arraySlice = [].slice;\n\n// fallback for not array-like ES3 strings and DOM objects\n$export($export.P + $export.F * require('./_fails')(function () {\n  if (html) arraySlice.call(html);\n}), 'Array', {\n  slice: function slice(begin, end) {\n    var len = toLength(this.length);\n    var klass = cof(this);\n    end = end === undefined ? len : end;\n    if (klass == 'Array') return arraySlice.call(this, begin, end);\n    var start = toAbsoluteIndex(begin, len);\n    var upTo = toAbsoluteIndex(end, len);\n    var size = toLength(upTo - start);\n    var cloned = new Array(size);\n    var i = 0;\n    for (; i < size; i++) cloned[i] = klass == 'String'\n      ? this.charAt(start + i)\n      : this[start + i];\n    return cloned;\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar aFunction = require('./_a-function');\nvar toObject = require('./_to-object');\nvar fails = require('./_fails');\nvar $sort = [].sort;\nvar test = [1, 2, 3];\n\n$export($export.P + $export.F * (fails(function () {\n  // IE8-\n  test.sort(undefined);\n}) || !fails(function () {\n  // V8 bug\n  test.sort(null);\n  // Old WebKit\n}) || !require('./_strict-method')($sort)), 'Array', {\n  // 22.1.3.25 Array.prototype.sort(comparefn)\n  sort: function sort(comparefn) {\n    return comparefn === undefined\n      ? $sort.call(toObject(this))\n      : $sort.call(toObject(this), aFunction(comparefn));\n  }\n});\n","var isObject = require('./_is-object');\nvar isArray = require('./_is-array');\nvar SPECIES = require('./_wks')('species');\n\nmodule.exports = function (original) {\n  var C;\n  if (isArray(original)) {\n    C = original.constructor;\n    // cross-realm fallback\n    if (typeof C == 'function' && (C === Array || isArray(C.prototype))) C = undefined;\n    if (isObject(C)) {\n      C = C[SPECIES];\n      if (C === null) C = undefined;\n    }\n  } return C === undefined ? Array : C;\n};\n","// 9.4.2.3 ArraySpeciesCreate(originalArray, length)\nvar speciesConstructor = require('./_array-species-constructor');\n\nmodule.exports = function (original, length) {\n  return new (speciesConstructor(original))(length);\n};\n","// 0 -> Array#forEach\n// 1 -> Array#map\n// 2 -> Array#filter\n// 3 -> Array#some\n// 4 -> Array#every\n// 5 -> Array#find\n// 6 -> Array#findIndex\nvar ctx = require('./_ctx');\nvar IObject = require('./_iobject');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar asc = require('./_array-species-create');\nmodule.exports = function (TYPE, $create) {\n  var IS_MAP = TYPE == 1;\n  var IS_FILTER = TYPE == 2;\n  var IS_SOME = TYPE == 3;\n  var IS_EVERY = TYPE == 4;\n  var IS_FIND_INDEX = TYPE == 6;\n  var NO_HOLES = TYPE == 5 || IS_FIND_INDEX;\n  var create = $create || asc;\n  return function ($this, callbackfn, that) {\n    var O = toObject($this);\n    var self = IObject(O);\n    var f = ctx(callbackfn, that, 3);\n    var length = toLength(self.length);\n    var index = 0;\n    var result = IS_MAP ? create($this, length) : IS_FILTER ? create($this, 0) : undefined;\n    var val, res;\n    for (;length > index; index++) if (NO_HOLES || index in self) {\n      val = self[index];\n      res = f(val, index, O);\n      if (TYPE) {\n        if (IS_MAP) result[index] = res;   // map\n        else if (res) switch (TYPE) {\n          case 3: return true;             // some\n          case 5: return val;              // find\n          case 6: return index;            // findIndex\n          case 2: result.push(val);        // filter\n        } else if (IS_EVERY) return false; // every\n      }\n    }\n    return IS_FIND_INDEX ? -1 : IS_SOME || IS_EVERY ? IS_EVERY : result;\n  };\n};\n","'use strict';\nvar $export = require('./_export');\nvar $forEach = require('./_array-methods')(0);\nvar STRICT = require('./_strict-method')([].forEach, true);\n\n$export($export.P + $export.F * !STRICT, 'Array', {\n  // 22.1.3.10 / 15.4.4.18 Array.prototype.forEach(callbackfn [, thisArg])\n  forEach: function forEach(callbackfn /* , thisArg */) {\n    return $forEach(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $map = require('./_array-methods')(1);\n\n$export($export.P + $export.F * !require('./_strict-method')([].map, true), 'Array', {\n  // 22.1.3.15 / 15.4.4.19 Array.prototype.map(callbackfn [, thisArg])\n  map: function map(callbackfn /* , thisArg */) {\n    return $map(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $filter = require('./_array-methods')(2);\n\n$export($export.P + $export.F * !require('./_strict-method')([].filter, true), 'Array', {\n  // 22.1.3.7 / 15.4.4.20 Array.prototype.filter(callbackfn [, thisArg])\n  filter: function filter(callbackfn /* , thisArg */) {\n    return $filter(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $some = require('./_array-methods')(3);\n\n$export($export.P + $export.F * !require('./_strict-method')([].some, true), 'Array', {\n  // 22.1.3.23 / 15.4.4.17 Array.prototype.some(callbackfn [, thisArg])\n  some: function some(callbackfn /* , thisArg */) {\n    return $some(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $every = require('./_array-methods')(4);\n\n$export($export.P + $export.F * !require('./_strict-method')([].every, true), 'Array', {\n  // 22.1.3.5 / 15.4.4.16 Array.prototype.every(callbackfn [, thisArg])\n  every: function every(callbackfn /* , thisArg */) {\n    return $every(this, callbackfn, arguments[1]);\n  }\n});\n","var aFunction = require('./_a-function');\nvar toObject = require('./_to-object');\nvar IObject = require('./_iobject');\nvar toLength = require('./_to-length');\n\nmodule.exports = function (that, callbackfn, aLen, memo, isRight) {\n  aFunction(callbackfn);\n  var O = toObject(that);\n  var self = IObject(O);\n  var length = toLength(O.length);\n  var index = isRight ? length - 1 : 0;\n  var i = isRight ? -1 : 1;\n  if (aLen < 2) for (;;) {\n    if (index in self) {\n      memo = self[index];\n      index += i;\n      break;\n    }\n    index += i;\n    if (isRight ? index < 0 : length <= index) {\n      throw TypeError('Reduce of empty array with no initial value');\n    }\n  }\n  for (;isRight ? index >= 0 : length > index; index += i) if (index in self) {\n    memo = callbackfn(memo, self[index], index, O);\n  }\n  return memo;\n};\n","'use strict';\nvar $export = require('./_export');\nvar $reduce = require('./_array-reduce');\n\n$export($export.P + $export.F * !require('./_strict-method')([].reduce, true), 'Array', {\n  // 22.1.3.18 / 15.4.4.21 Array.prototype.reduce(callbackfn [, initialValue])\n  reduce: function reduce(callbackfn /* , initialValue */) {\n    return $reduce(this, callbackfn, arguments.length, arguments[1], false);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $reduce = require('./_array-reduce');\n\n$export($export.P + $export.F * !require('./_strict-method')([].reduceRight, true), 'Array', {\n  // 22.1.3.19 / 15.4.4.22 Array.prototype.reduceRight(callbackfn [, initialValue])\n  reduceRight: function reduceRight(callbackfn /* , initialValue */) {\n    return $reduce(this, callbackfn, arguments.length, arguments[1], true);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $indexOf = require('./_array-includes')(false);\nvar $native = [].indexOf;\nvar NEGATIVE_ZERO = !!$native && 1 / [1].indexOf(1, -0) < 0;\n\n$export($export.P + $export.F * (NEGATIVE_ZERO || !require('./_strict-method')($native)), 'Array', {\n  // 22.1.3.11 / 15.4.4.14 Array.prototype.indexOf(searchElement [, fromIndex])\n  indexOf: function indexOf(searchElement /* , fromIndex = 0 */) {\n    return NEGATIVE_ZERO\n      // convert -0 to +0\n      ? $native.apply(this, arguments) || 0\n      : $indexOf(this, searchElement, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toIObject = require('./_to-iobject');\nvar toInteger = require('./_to-integer');\nvar toLength = require('./_to-length');\nvar $native = [].lastIndexOf;\nvar NEGATIVE_ZERO = !!$native && 1 / [1].lastIndexOf(1, -0) < 0;\n\n$export($export.P + $export.F * (NEGATIVE_ZERO || !require('./_strict-method')($native)), 'Array', {\n  // 22.1.3.14 / 15.4.4.15 Array.prototype.lastIndexOf(searchElement [, fromIndex])\n  lastIndexOf: function lastIndexOf(searchElement /* , fromIndex = @[*-1] */) {\n    // convert -0 to +0\n    if (NEGATIVE_ZERO) return $native.apply(this, arguments) || 0;\n    var O = toIObject(this);\n    var length = toLength(O.length);\n    var index = length - 1;\n    if (arguments.length > 1) index = Math.min(index, toInteger(arguments[1]));\n    if (index < 0) index = length + index;\n    for (;index >= 0; index--) if (index in O) if (O[index] === searchElement) return index || 0;\n    return -1;\n  }\n});\n","// 22.1.3.3 Array.prototype.copyWithin(target, start, end = this.length)\n'use strict';\nvar toObject = require('./_to-object');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\n\nmodule.exports = [].copyWithin || function copyWithin(target /* = 0 */, start /* = 0, end = @length */) {\n  var O = toObject(this);\n  var len = toLength(O.length);\n  var to = toAbsoluteIndex(target, len);\n  var from = toAbsoluteIndex(start, len);\n  var end = arguments.length > 2 ? arguments[2] : undefined;\n  var count = Math.min((end === undefined ? len : toAbsoluteIndex(end, len)) - from, len - to);\n  var inc = 1;\n  if (from < to && to < from + count) {\n    inc = -1;\n    from += count - 1;\n    to += count - 1;\n  }\n  while (count-- > 0) {\n    if (from in O) O[to] = O[from];\n    else delete O[to];\n    to += inc;\n    from += inc;\n  } return O;\n};\n","// 22.1.3.31 Array.prototype[@@unscopables]\nvar UNSCOPABLES = require('./_wks')('unscopables');\nvar ArrayProto = Array.prototype;\nif (ArrayProto[UNSCOPABLES] == undefined) require('./_hide')(ArrayProto, UNSCOPABLES, {});\nmodule.exports = function (key) {\n  ArrayProto[UNSCOPABLES][key] = true;\n};\n","// 22.1.3.3 Array.prototype.copyWithin(target, start, end = this.length)\nvar $export = require('./_export');\n\n$export($export.P, 'Array', { copyWithin: require('./_array-copy-within') });\n\nrequire('./_add-to-unscopables')('copyWithin');\n","// 22.1.3.6 Array.prototype.fill(value, start = 0, end = this.length)\n'use strict';\nvar toObject = require('./_to-object');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\nmodule.exports = function fill(value /* , start = 0, end = @length */) {\n  var O = toObject(this);\n  var length = toLength(O.length);\n  var aLen = arguments.length;\n  var index = toAbsoluteIndex(aLen > 1 ? arguments[1] : undefined, length);\n  var end = aLen > 2 ? arguments[2] : undefined;\n  var endPos = end === undefined ? length : toAbsoluteIndex(end, length);\n  while (endPos > index) O[index++] = value;\n  return O;\n};\n","// 22.1.3.6 Array.prototype.fill(value, start = 0, end = this.length)\nvar $export = require('./_export');\n\n$export($export.P, 'Array', { fill: require('./_array-fill') });\n\nrequire('./_add-to-unscopables')('fill');\n","'use strict';\n// 22.1.3.8 Array.prototype.find(predicate, thisArg = undefined)\nvar $export = require('./_export');\nvar $find = require('./_array-methods')(5);\nvar KEY = 'find';\nvar forced = true;\n// Shouldn't skip holes\nif (KEY in []) Array(1)[KEY](function () { forced = false; });\n$export($export.P + $export.F * forced, 'Array', {\n  find: function find(callbackfn /* , that = undefined */) {\n    return $find(this, callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\nrequire('./_add-to-unscopables')(KEY);\n","'use strict';\n// 22.1.3.9 Array.prototype.findIndex(predicate, thisArg = undefined)\nvar $export = require('./_export');\nvar $find = require('./_array-methods')(6);\nvar KEY = 'findIndex';\nvar forced = true;\n// Shouldn't skip holes\nif (KEY in []) Array(1)[KEY](function () { forced = false; });\n$export($export.P + $export.F * forced, 'Array', {\n  findIndex: function findIndex(callbackfn /* , that = undefined */) {\n    return $find(this, callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\nrequire('./_add-to-unscopables')(KEY);\n","'use strict';\nvar global = require('./_global');\nvar dP = require('./_object-dp');\nvar DESCRIPTORS = require('./_descriptors');\nvar SPECIES = require('./_wks')('species');\n\nmodule.exports = function (KEY) {\n  var C = global[KEY];\n  if (DESCRIPTORS && C && !C[SPECIES]) dP.f(C, SPECIES, {\n    configurable: true,\n    get: function () { return this; }\n  });\n};\n","require('./_set-species')('Array');\n","module.exports = function (done, value) {\n  return { value: value, done: !!done };\n};\n","'use strict';\nvar addToUnscopables = require('./_add-to-unscopables');\nvar step = require('./_iter-step');\nvar Iterators = require('./_iterators');\nvar toIObject = require('./_to-iobject');\n\n// 22.1.3.4 Array.prototype.entries()\n// 22.1.3.13 Array.prototype.keys()\n// 22.1.3.29 Array.prototype.values()\n// 22.1.3.30 Array.prototype[@@iterator]()\nmodule.exports = require('./_iter-define')(Array, 'Array', function (iterated, kind) {\n  this._t = toIObject(iterated); // target\n  this._i = 0;                   // next index\n  this._k = kind;                // kind\n// 22.1.5.2.1 %ArrayIteratorPrototype%.next()\n}, function () {\n  var O = this._t;\n  var kind = this._k;\n  var index = this._i++;\n  if (!O || index >= O.length) {\n    this._t = undefined;\n    return step(1);\n  }\n  if (kind == 'keys') return step(0, index);\n  if (kind == 'values') return step(0, O[index]);\n  return step(0, [index, O[index]]);\n}, 'values');\n\n// argumentsList[@@iterator] is %ArrayProto_values% (9.4.4.6, 9.4.4.7)\nIterators.Arguments = Iterators.Array;\n\naddToUnscopables('keys');\naddToUnscopables('values');\naddToUnscopables('entries');\n","'use strict';\n// 21.2.5.3 get RegExp.prototype.flags\nvar anObject = require('./_an-object');\nmodule.exports = function () {\n  var that = anObject(this);\n  var result = '';\n  if (that.global) result += 'g';\n  if (that.ignoreCase) result += 'i';\n  if (that.multiline) result += 'm';\n  if (that.unicode) result += 'u';\n  if (that.sticky) result += 'y';\n  return result;\n};\n","var global = require('./_global');\nvar inheritIfRequired = require('./_inherit-if-required');\nvar dP = require('./_object-dp').f;\nvar gOPN = require('./_object-gopn').f;\nvar isRegExp = require('./_is-regexp');\nvar $flags = require('./_flags');\nvar $RegExp = global.RegExp;\nvar Base = $RegExp;\nvar proto = $RegExp.prototype;\nvar re1 = /a/g;\nvar re2 = /a/g;\n// \"new\" creates a new object, old webkit buggy here\nvar CORRECT_NEW = new $RegExp(re1) !== re1;\n\nif (require('./_descriptors') && (!CORRECT_NEW || require('./_fails')(function () {\n  re2[require('./_wks')('match')] = false;\n  // RegExp constructor can alter flags and IsRegExp works correct with @@match\n  return $RegExp(re1) != re1 || $RegExp(re2) == re2 || $RegExp(re1, 'i') != '/a/i';\n}))) {\n  $RegExp = function RegExp(p, f) {\n    var tiRE = this instanceof $RegExp;\n    var piRE = isRegExp(p);\n    var fiU = f === undefined;\n    return !tiRE && piRE && p.constructor === $RegExp && fiU ? p\n      : inheritIfRequired(CORRECT_NEW\n        ? new Base(piRE && !fiU ? p.source : p, f)\n        : Base((piRE = p instanceof $RegExp) ? p.source : p, piRE && fiU ? $flags.call(p) : f)\n      , tiRE ? this : proto, $RegExp);\n  };\n  var proxy = function (key) {\n    key in $RegExp || dP($RegExp, key, {\n      configurable: true,\n      get: function () { return Base[key]; },\n      set: function (it) { Base[key] = it; }\n    });\n  };\n  for (var keys = gOPN(Base), i = 0; keys.length > i;) proxy(keys[i++]);\n  proto.constructor = $RegExp;\n  $RegExp.prototype = proto;\n  require('./_redefine')(global, 'RegExp', $RegExp);\n}\n\nrequire('./_set-species')('RegExp');\n","'use strict';\n\nvar regexpFlags = require('./_flags');\n\nvar nativeExec = RegExp.prototype.exec;\n// This always refers to the native implementation, because the\n// String#replace polyfill uses ./fix-regexp-well-known-symbol-logic.js,\n// which loads this file before patching the method.\nvar nativeReplace = String.prototype.replace;\n\nvar patchedExec = nativeExec;\n\nvar LAST_INDEX = 'lastIndex';\n\nvar UPDATES_LAST_INDEX_WRONG = (function () {\n  var re1 = /a/,\n      re2 = /b*/g;\n  nativeExec.call(re1, 'a');\n  nativeExec.call(re2, 'a');\n  return re1[LAST_INDEX] !== 0 || re2[LAST_INDEX] !== 0;\n})();\n\n// nonparticipating capturing group, copied from es5-shim's String#split patch.\nvar NPCG_INCLUDED = /()??/.exec('')[1] !== undefined;\n\nvar PATCH = UPDATES_LAST_INDEX_WRONG || NPCG_INCLUDED;\n\nif (PATCH) {\n  patchedExec = function exec(str) {\n    var re = this;\n    var lastIndex, reCopy, match, i;\n\n    if (NPCG_INCLUDED) {\n      reCopy = new RegExp('^' + re.source + '$(?!\\\\s)', regexpFlags.call(re));\n    }\n    if (UPDATES_LAST_INDEX_WRONG) lastIndex = re[LAST_INDEX];\n\n    match = nativeExec.call(re, str);\n\n    if (UPDATES_LAST_INDEX_WRONG && match) {\n      re[LAST_INDEX] = re.global ? match.index + match[0].length : lastIndex;\n    }\n    if (NPCG_INCLUDED && match && match.length > 1) {\n      // Fix browsers whose `exec` methods don't consistently return `undefined`\n      // for NPCG, like IE8. NOTE: This doesn' work for /(.?)?/\n      // eslint-disable-next-line no-loop-func\n      nativeReplace.call(match[0], reCopy, function () {\n        for (i = 1; i < arguments.length - 2; i++) {\n          if (arguments[i] === undefined) match[i] = undefined;\n        }\n      });\n    }\n\n    return match;\n  };\n}\n\nmodule.exports = patchedExec;\n","'use strict';\nvar regexpExec = require('./_regexp-exec');\nrequire('./_export')({\n  target: 'RegExp',\n  proto: true,\n  forced: regexpExec !== /./.exec\n}, {\n  exec: regexpExec\n});\n","// 21.2.5.3 get RegExp.prototype.flags()\nif (require('./_descriptors') && /./g.flags != 'g') require('./_object-dp').f(RegExp.prototype, 'flags', {\n  configurable: true,\n  get: require('./_flags')\n});\n","'use strict';\nrequire('./es6.regexp.flags');\nvar anObject = require('./_an-object');\nvar $flags = require('./_flags');\nvar DESCRIPTORS = require('./_descriptors');\nvar TO_STRING = 'toString';\nvar $toString = /./[TO_STRING];\n\nvar define = function (fn) {\n  require('./_redefine')(RegExp.prototype, TO_STRING, fn, true);\n};\n\n// 21.2.5.14 RegExp.prototype.toString()\nif (require('./_fails')(function () { return $toString.call({ source: 'a', flags: 'b' }) != '/a/b'; })) {\n  define(function toString() {\n    var R = anObject(this);\n    return '/'.concat(R.source, '/',\n      'flags' in R ? R.flags : !DESCRIPTORS && R instanceof RegExp ? $flags.call(R) : undefined);\n  });\n// FF44- RegExp#toString has a wrong name\n} else if ($toString.name != TO_STRING) {\n  define(function toString() {\n    return $toString.call(this);\n  });\n}\n","'use strict';\nvar at = require('./_string-at')(true);\n\n // `AdvanceStringIndex` abstract operation\n// https://tc39.github.io/ecma262/#sec-advancestringindex\nmodule.exports = function (S, index, unicode) {\n  return index + (unicode ? at(S, index).length : 1);\n};\n","'use strict';\n\nvar classof = require('./_classof');\nvar builtinExec = RegExp.prototype.exec;\n\n // `RegExpExec` abstract operation\n// https://tc39.github.io/ecma262/#sec-regexpexec\nmodule.exports = function (R, S) {\n  var exec = R.exec;\n  if (typeof exec === 'function') {\n    var result = exec.call(R, S);\n    if (typeof result !== 'object') {\n      throw new TypeError('RegExp exec method returned something other than an Object or null');\n    }\n    return result;\n  }\n  if (classof(R) !== 'RegExp') {\n    throw new TypeError('RegExp#exec called on incompatible receiver');\n  }\n  return builtinExec.call(R, S);\n};\n","'use strict';\nrequire('./es6.regexp.exec');\nvar redefine = require('./_redefine');\nvar hide = require('./_hide');\nvar fails = require('./_fails');\nvar defined = require('./_defined');\nvar wks = require('./_wks');\nvar regexpExec = require('./_regexp-exec');\n\nvar SPECIES = wks('species');\n\nvar REPLACE_SUPPORTS_NAMED_GROUPS = !fails(function () {\n  // #replace needs built-in support for named groups.\n  // #match works fine because it just return the exec results, even if it has\n  // a \"grops\" property.\n  var re = /./;\n  re.exec = function () {\n    var result = [];\n    result.groups = { a: '7' };\n    return result;\n  };\n  return ''.replace(re, '$<a>') !== '7';\n});\n\nvar SPLIT_WORKS_WITH_OVERWRITTEN_EXEC = (function () {\n  // Chrome 51 has a buggy \"split\" implementation when RegExp#exec !== nativeExec\n  var re = /(?:)/;\n  var originalExec = re.exec;\n  re.exec = function () { return originalExec.apply(this, arguments); };\n  var result = 'ab'.split(re);\n  return result.length === 2 && result[0] === 'a' && result[1] === 'b';\n})();\n\nmodule.exports = function (KEY, length, exec) {\n  var SYMBOL = wks(KEY);\n\n  var DELEGATES_TO_SYMBOL = !fails(function () {\n    // String methods call symbol-named RegEp methods\n    var O = {};\n    O[SYMBOL] = function () { return 7; };\n    return ''[KEY](O) != 7;\n  });\n\n  var DELEGATES_TO_EXEC = DELEGATES_TO_SYMBOL ? !fails(function () {\n    // Symbol-named RegExp methods call .exec\n    var execCalled = false;\n    var re = /a/;\n    re.exec = function () { execCalled = true; return null; };\n    if (KEY === 'split') {\n      // RegExp[@@split] doesn't call the regex's exec method, but first creates\n      // a new one. We need to return the patched regex when creating the new one.\n      re.constructor = {};\n      re.constructor[SPECIES] = function () { return re; };\n    }\n    re[SYMBOL]('');\n    return !execCalled;\n  }) : undefined;\n\n  if (\n    !DELEGATES_TO_SYMBOL ||\n    !DELEGATES_TO_EXEC ||\n    (KEY === 'replace' && !REPLACE_SUPPORTS_NAMED_GROUPS) ||\n    (KEY === 'split' && !SPLIT_WORKS_WITH_OVERWRITTEN_EXEC)\n  ) {\n    var nativeRegExpMethod = /./[SYMBOL];\n    var fns = exec(\n      defined,\n      SYMBOL,\n      ''[KEY],\n      function maybeCallNative(nativeMethod, regexp, str, arg2, forceStringMethod) {\n        if (regexp.exec === regexpExec) {\n          if (DELEGATES_TO_SYMBOL && !forceStringMethod) {\n            // The native String method already delegates to @@method (this\n            // polyfilled function), leasing to infinite recursion.\n            // We avoid it by directly calling the native @@method method.\n            return { done: true, value: nativeRegExpMethod.call(regexp, str, arg2) };\n          }\n          return { done: true, value: nativeMethod.call(str, regexp, arg2) };\n        }\n        return { done: false };\n      }\n    );\n    var strfn = fns[0];\n    var rxfn = fns[1];\n\n    redefine(String.prototype, KEY, strfn);\n    hide(RegExp.prototype, SYMBOL, length == 2\n      // 21.2.5.8 RegExp.prototype[@@replace](string, replaceValue)\n      // 21.2.5.11 RegExp.prototype[@@split](string, limit)\n      ? function (string, arg) { return rxfn.call(string, this, arg); }\n      // 21.2.5.6 RegExp.prototype[@@match](string)\n      // 21.2.5.9 RegExp.prototype[@@search](string)\n      : function (string) { return rxfn.call(string, this); }\n    );\n  }\n};\n","'use strict';\n\nvar anObject = require('./_an-object');\nvar toLength = require('./_to-length');\nvar advanceStringIndex = require('./_advance-string-index');\nvar regExpExec = require('./_regexp-exec-abstract');\n\n// @@match logic\nrequire('./_fix-re-wks')('match', 1, function (defined, MATCH, $match, maybeCallNative) {\n  return [\n    // `String.prototype.match` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.match\n    function match(regexp) {\n      var O = defined(this);\n      var fn = regexp == undefined ? undefined : regexp[MATCH];\n      return fn !== undefined ? fn.call(regexp, O) : new RegExp(regexp)[MATCH](String(O));\n    },\n    // `RegExp.prototype[@@match]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@match\n    function (regexp) {\n      var res = maybeCallNative($match, regexp, this);\n      if (res.done) return res.value;\n      var rx = anObject(regexp);\n      var S = String(this);\n      if (!rx.global) return regExpExec(rx, S);\n      var fullUnicode = rx.unicode;\n      rx.lastIndex = 0;\n      var A = [];\n      var n = 0;\n      var result;\n      while ((result = regExpExec(rx, S)) !== null) {\n        var matchStr = String(result[0]);\n        A[n] = matchStr;\n        if (matchStr === '') rx.lastIndex = advanceStringIndex(S, toLength(rx.lastIndex), fullUnicode);\n        n++;\n      }\n      return n === 0 ? null : A;\n    }\n  ];\n});\n","'use strict';\n\nvar anObject = require('./_an-object');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar toInteger = require('./_to-integer');\nvar advanceStringIndex = require('./_advance-string-index');\nvar regExpExec = require('./_regexp-exec-abstract');\nvar max = Math.max;\nvar min = Math.min;\nvar floor = Math.floor;\nvar SUBSTITUTION_SYMBOLS = /\\$([$&`']|\\d\\d?|<[^>]*>)/g;\nvar SUBSTITUTION_SYMBOLS_NO_NAMED = /\\$([$&`']|\\d\\d?)/g;\n\nvar maybeToString = function (it) {\n  return it === undefined ? it : String(it);\n};\n\n// @@replace logic\nrequire('./_fix-re-wks')('replace', 2, function (defined, REPLACE, $replace, maybeCallNative) {\n  return [\n    // `String.prototype.replace` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.replace\n    function replace(searchValue, replaceValue) {\n      var O = defined(this);\n      var fn = searchValue == undefined ? undefined : searchValue[REPLACE];\n      return fn !== undefined\n        ? fn.call(searchValue, O, replaceValue)\n        : $replace.call(String(O), searchValue, replaceValue);\n    },\n    // `RegExp.prototype[@@replace]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@replace\n    function (regexp, replaceValue) {\n      var res = maybeCallNative($replace, regexp, this, replaceValue);\n      if (res.done) return res.value;\n\n      var rx = anObject(regexp);\n      var S = String(this);\n      var functionalReplace = typeof replaceValue === 'function';\n      if (!functionalReplace) replaceValue = String(replaceValue);\n      var global = rx.global;\n      if (global) {\n        var fullUnicode = rx.unicode;\n        rx.lastIndex = 0;\n      }\n      var results = [];\n      while (true) {\n        var result = regExpExec(rx, S);\n        if (result === null) break;\n        results.push(result);\n        if (!global) break;\n        var matchStr = String(result[0]);\n        if (matchStr === '') rx.lastIndex = advanceStringIndex(S, toLength(rx.lastIndex), fullUnicode);\n      }\n      var accumulatedResult = '';\n      var nextSourcePosition = 0;\n      for (var i = 0; i < results.length; i++) {\n        result = results[i];\n        var matched = String(result[0]);\n        var position = max(min(toInteger(result.index), S.length), 0);\n        var captures = [];\n        // NOTE: This is equivalent to\n        //   captures = result.slice(1).map(maybeToString)\n        // but for some reason `nativeSlice.call(result, 1, result.length)` (called in\n        // the slice polyfill when slicing native arrays) \"doesn't work\" in safari 9 and\n        // causes a crash (https://pastebin.com/N21QzeQA) when trying to debug it.\n        for (var j = 1; j < result.length; j++) captures.push(maybeToString(result[j]));\n        var namedCaptures = result.groups;\n        if (functionalReplace) {\n          var replacerArgs = [matched].concat(captures, position, S);\n          if (namedCaptures !== undefined) replacerArgs.push(namedCaptures);\n          var replacement = String(replaceValue.apply(undefined, replacerArgs));\n        } else {\n          replacement = getSubstitution(matched, S, position, captures, namedCaptures, replaceValue);\n        }\n        if (position >= nextSourcePosition) {\n          accumulatedResult += S.slice(nextSourcePosition, position) + replacement;\n          nextSourcePosition = position + matched.length;\n        }\n      }\n      return accumulatedResult + S.slice(nextSourcePosition);\n    }\n  ];\n\n    // https://tc39.github.io/ecma262/#sec-getsubstitution\n  function getSubstitution(matched, str, position, captures, namedCaptures, replacement) {\n    var tailPos = position + matched.length;\n    var m = captures.length;\n    var symbols = SUBSTITUTION_SYMBOLS_NO_NAMED;\n    if (namedCaptures !== undefined) {\n      namedCaptures = toObject(namedCaptures);\n      symbols = SUBSTITUTION_SYMBOLS;\n    }\n    return $replace.call(replacement, symbols, function (match, ch) {\n      var capture;\n      switch (ch.charAt(0)) {\n        case '$': return '$';\n        case '&': return matched;\n        case '`': return str.slice(0, position);\n        case \"'\": return str.slice(tailPos);\n        case '<':\n          capture = namedCaptures[ch.slice(1, -1)];\n          break;\n        default: // \\d\\d?\n          var n = +ch;\n          if (n === 0) return match;\n          if (n > m) {\n            var f = floor(n / 10);\n            if (f === 0) return match;\n            if (f <= m) return captures[f - 1] === undefined ? ch.charAt(1) : captures[f - 1] + ch.charAt(1);\n            return match;\n          }\n          capture = captures[n - 1];\n      }\n      return capture === undefined ? '' : capture;\n    });\n  }\n});\n","'use strict';\n\nvar anObject = require('./_an-object');\nvar sameValue = require('./_same-value');\nvar regExpExec = require('./_regexp-exec-abstract');\n\n// @@search logic\nrequire('./_fix-re-wks')('search', 1, function (defined, SEARCH, $search, maybeCallNative) {\n  return [\n    // `String.prototype.search` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.search\n    function search(regexp) {\n      var O = defined(this);\n      var fn = regexp == undefined ? undefined : regexp[SEARCH];\n      return fn !== undefined ? fn.call(regexp, O) : new RegExp(regexp)[SEARCH](String(O));\n    },\n    // `RegExp.prototype[@@search]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@search\n    function (regexp) {\n      var res = maybeCallNative($search, regexp, this);\n      if (res.done) return res.value;\n      var rx = anObject(regexp);\n      var S = String(this);\n      var previousLastIndex = rx.lastIndex;\n      if (!sameValue(previousLastIndex, 0)) rx.lastIndex = 0;\n      var result = regExpExec(rx, S);\n      if (!sameValue(rx.lastIndex, previousLastIndex)) rx.lastIndex = previousLastIndex;\n      return result === null ? -1 : result.index;\n    }\n  ];\n});\n","// 7.3.20 SpeciesConstructor(O, defaultConstructor)\nvar anObject = require('./_an-object');\nvar aFunction = require('./_a-function');\nvar SPECIES = require('./_wks')('species');\nmodule.exports = function (O, D) {\n  var C = anObject(O).constructor;\n  var S;\n  return C === undefined || (S = anObject(C)[SPECIES]) == undefined ? D : aFunction(S);\n};\n","'use strict';\n\nvar isRegExp = require('./_is-regexp');\nvar anObject = require('./_an-object');\nvar speciesConstructor = require('./_species-constructor');\nvar advanceStringIndex = require('./_advance-string-index');\nvar toLength = require('./_to-length');\nvar callRegExpExec = require('./_regexp-exec-abstract');\nvar regexpExec = require('./_regexp-exec');\nvar fails = require('./_fails');\nvar $min = Math.min;\nvar $push = [].push;\nvar $SPLIT = 'split';\nvar LENGTH = 'length';\nvar LAST_INDEX = 'lastIndex';\nvar MAX_UINT32 = 0xffffffff;\n\n// babel-minify transpiles RegExp('x', 'y') -> /x/y and it causes SyntaxError\nvar SUPPORTS_Y = !fails(function () { RegExp(MAX_UINT32, 'y'); });\n\n// @@split logic\nrequire('./_fix-re-wks')('split', 2, function (defined, SPLIT, $split, maybeCallNative) {\n  var internalSplit;\n  if (\n    'abbc'[$SPLIT](/(b)*/)[1] == 'c' ||\n    'test'[$SPLIT](/(?:)/, -1)[LENGTH] != 4 ||\n    'ab'[$SPLIT](/(?:ab)*/)[LENGTH] != 2 ||\n    '.'[$SPLIT](/(.?)(.?)/)[LENGTH] != 4 ||\n    '.'[$SPLIT](/()()/)[LENGTH] > 1 ||\n    ''[$SPLIT](/.?/)[LENGTH]\n  ) {\n    // based on es5-shim implementation, need to rework it\n    internalSplit = function (separator, limit) {\n      var string = String(this);\n      if (separator === undefined && limit === 0) return [];\n      // If `separator` is not a regex, use native split\n      if (!isRegExp(separator)) return $split.call(string, separator, limit);\n      var output = [];\n      var flags = (separator.ignoreCase ? 'i' : '') +\n                  (separator.multiline ? 'm' : '') +\n                  (separator.unicode ? 'u' : '') +\n                  (separator.sticky ? 'y' : '');\n      var lastLastIndex = 0;\n      var splitLimit = limit === undefined ? MAX_UINT32 : limit >>> 0;\n      // Make `global` and avoid `lastIndex` issues by working with a copy\n      var separatorCopy = new RegExp(separator.source, flags + 'g');\n      var match, lastIndex, lastLength;\n      while (match = regexpExec.call(separatorCopy, string)) {\n        lastIndex = separatorCopy[LAST_INDEX];\n        if (lastIndex > lastLastIndex) {\n          output.push(string.slice(lastLastIndex, match.index));\n          if (match[LENGTH] > 1 && match.index < string[LENGTH]) $push.apply(output, match.slice(1));\n          lastLength = match[0][LENGTH];\n          lastLastIndex = lastIndex;\n          if (output[LENGTH] >= splitLimit) break;\n        }\n        if (separatorCopy[LAST_INDEX] === match.index) separatorCopy[LAST_INDEX]++; // Avoid an infinite loop\n      }\n      if (lastLastIndex === string[LENGTH]) {\n        if (lastLength || !separatorCopy.test('')) output.push('');\n      } else output.push(string.slice(lastLastIndex));\n      return output[LENGTH] > splitLimit ? output.slice(0, splitLimit) : output;\n    };\n  // Chakra, V8\n  } else if ('0'[$SPLIT](undefined, 0)[LENGTH]) {\n    internalSplit = function (separator, limit) {\n      return separator === undefined && limit === 0 ? [] : $split.call(this, separator, limit);\n    };\n  } else {\n    internalSplit = $split;\n  }\n\n  return [\n    // `String.prototype.split` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.split\n    function split(separator, limit) {\n      var O = defined(this);\n      var splitter = separator == undefined ? undefined : separator[SPLIT];\n      return splitter !== undefined\n        ? splitter.call(separator, O, limit)\n        : internalSplit.call(String(O), separator, limit);\n    },\n    // `RegExp.prototype[@@split]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@split\n    //\n    // NOTE: This cannot be properly polyfilled in engines that don't support\n    // the 'y' flag.\n    function (regexp, limit) {\n      var res = maybeCallNative(internalSplit, regexp, this, limit, internalSplit !== $split);\n      if (res.done) return res.value;\n\n      var rx = anObject(regexp);\n      var S = String(this);\n      var C = speciesConstructor(rx, RegExp);\n\n      var unicodeMatching = rx.unicode;\n      var flags = (rx.ignoreCase ? 'i' : '') +\n                  (rx.multiline ? 'm' : '') +\n                  (rx.unicode ? 'u' : '') +\n                  (SUPPORTS_Y ? 'y' : 'g');\n\n      // ^(? + rx + ) is needed, in combination with some S slicing, to\n      // simulate the 'y' flag.\n      var splitter = new C(SUPPORTS_Y ? rx : '^(?:' + rx.source + ')', flags);\n      var lim = limit === undefined ? MAX_UINT32 : limit >>> 0;\n      if (lim === 0) return [];\n      if (S.length === 0) return callRegExpExec(splitter, S) === null ? [S] : [];\n      var p = 0;\n      var q = 0;\n      var A = [];\n      while (q < S.length) {\n        splitter.lastIndex = SUPPORTS_Y ? q : 0;\n        var z = callRegExpExec(splitter, SUPPORTS_Y ? S : S.slice(q));\n        var e;\n        if (\n          z === null ||\n          (e = $min(toLength(splitter.lastIndex + (SUPPORTS_Y ? 0 : q)), S.length)) === p\n        ) {\n          q = advanceStringIndex(S, q, unicodeMatching);\n        } else {\n          A.push(S.slice(p, q));\n          if (A.length === lim) return A;\n          for (var i = 1; i <= z.length - 1; i++) {\n            A.push(z[i]);\n            if (A.length === lim) return A;\n          }\n          q = p = e;\n        }\n      }\n      A.push(S.slice(p));\n      return A;\n    }\n  ];\n});\n","module.exports = function (it, Constructor, name, forbiddenField) {\n  if (!(it instanceof Constructor) || (forbiddenField !== undefined && forbiddenField in it)) {\n    throw TypeError(name + ': incorrect invocation!');\n  } return it;\n};\n","var ctx = require('./_ctx');\nvar call = require('./_iter-call');\nvar isArrayIter = require('./_is-array-iter');\nvar anObject = require('./_an-object');\nvar toLength = require('./_to-length');\nvar getIterFn = require('./core.get-iterator-method');\nvar BREAK = {};\nvar RETURN = {};\nvar exports = module.exports = function (iterable, entries, fn, that, ITERATOR) {\n  var iterFn = ITERATOR ? function () { return iterable; } : getIterFn(iterable);\n  var f = ctx(fn, that, entries ? 2 : 1);\n  var index = 0;\n  var length, step, iterator, result;\n  if (typeof iterFn != 'function') throw TypeError(iterable + ' is not iterable!');\n  // fast case for arrays with default iterator\n  if (isArrayIter(iterFn)) for (length = toLength(iterable.length); length > index; index++) {\n    result = entries ? f(anObject(step = iterable[index])[0], step[1]) : f(iterable[index]);\n    if (result === BREAK || result === RETURN) return result;\n  } else for (iterator = iterFn.call(iterable); !(step = iterator.next()).done;) {\n    result = call(iterator, f, step.value, entries);\n    if (result === BREAK || result === RETURN) return result;\n  }\n};\nexports.BREAK = BREAK;\nexports.RETURN = RETURN;\n","var ctx = require('./_ctx');\nvar invoke = require('./_invoke');\nvar html = require('./_html');\nvar cel = require('./_dom-create');\nvar global = require('./_global');\nvar process = global.process;\nvar setTask = global.setImmediate;\nvar clearTask = global.clearImmediate;\nvar MessageChannel = global.MessageChannel;\nvar Dispatch = global.Dispatch;\nvar counter = 0;\nvar queue = {};\nvar ONREADYSTATECHANGE = 'onreadystatechange';\nvar defer, channel, port;\nvar run = function () {\n  var id = +this;\n  // eslint-disable-next-line no-prototype-builtins\n  if (queue.hasOwnProperty(id)) {\n    var fn = queue[id];\n    delete queue[id];\n    fn();\n  }\n};\nvar listener = function (event) {\n  run.call(event.data);\n};\n// Node.js 0.9+ & IE10+ has setImmediate, otherwise:\nif (!setTask || !clearTask) {\n  setTask = function setImmediate(fn) {\n    var args = [];\n    var i = 1;\n    while (arguments.length > i) args.push(arguments[i++]);\n    queue[++counter] = function () {\n      // eslint-disable-next-line no-new-func\n      invoke(typeof fn == 'function' ? fn : Function(fn), args);\n    };\n    defer(counter);\n    return counter;\n  };\n  clearTask = function clearImmediate(id) {\n    delete queue[id];\n  };\n  // Node.js 0.8-\n  if (require('./_cof')(process) == 'process') {\n    defer = function (id) {\n      process.nextTick(ctx(run, id, 1));\n    };\n  // Sphere (JS game engine) Dispatch API\n  } else if (Dispatch && Dispatch.now) {\n    defer = function (id) {\n      Dispatch.now(ctx(run, id, 1));\n    };\n  // Browsers with MessageChannel, includes WebWorkers\n  } else if (MessageChannel) {\n    channel = new MessageChannel();\n    port = channel.port2;\n    channel.port1.onmessage = listener;\n    defer = ctx(port.postMessage, port, 1);\n  // Browsers with postMessage, skip WebWorkers\n  // IE8 has postMessage, but it's sync & typeof its postMessage is 'object'\n  } else if (global.addEventListener && typeof postMessage == 'function' && !global.importScripts) {\n    defer = function (id) {\n      global.postMessage(id + '', '*');\n    };\n    global.addEventListener('message', listener, false);\n  // IE8-\n  } else if (ONREADYSTATECHANGE in cel('script')) {\n    defer = function (id) {\n      html.appendChild(cel('script'))[ONREADYSTATECHANGE] = function () {\n        html.removeChild(this);\n        run.call(id);\n      };\n    };\n  // Rest old browsers\n  } else {\n    defer = function (id) {\n      setTimeout(ctx(run, id, 1), 0);\n    };\n  }\n}\nmodule.exports = {\n  set: setTask,\n  clear: clearTask\n};\n","var global = require('./_global');\nvar macrotask = require('./_task').set;\nvar Observer = global.MutationObserver || global.WebKitMutationObserver;\nvar process = global.process;\nvar Promise = global.Promise;\nvar isNode = require('./_cof')(process) == 'process';\n\nmodule.exports = function () {\n  var head, last, notify;\n\n  var flush = function () {\n    var parent, fn;\n    if (isNode && (parent = process.domain)) parent.exit();\n    while (head) {\n      fn = head.fn;\n      head = head.next;\n      try {\n        fn();\n      } catch (e) {\n        if (head) notify();\n        else last = undefined;\n        throw e;\n      }\n    } last = undefined;\n    if (parent) parent.enter();\n  };\n\n  // Node.js\n  if (isNode) {\n    notify = function () {\n      process.nextTick(flush);\n    };\n  // browsers with MutationObserver, except iOS Safari - https://github.com/zloirock/core-js/issues/339\n  } else if (Observer && !(global.navigator && global.navigator.standalone)) {\n    var toggle = true;\n    var node = document.createTextNode('');\n    new Observer(flush).observe(node, { characterData: true }); // eslint-disable-line no-new\n    notify = function () {\n      node.data = toggle = !toggle;\n    };\n  // environments with maybe non-completely correct, but existent Promise\n  } else if (Promise && Promise.resolve) {\n    // Promise.resolve without an argument throws an error in LG WebOS 2\n    var promise = Promise.resolve(undefined);\n    notify = function () {\n      promise.then(flush);\n    };\n  // for other environments - macrotask based on:\n  // - setImmediate\n  // - MessageChannel\n  // - window.postMessag\n  // - onreadystatechange\n  // - setTimeout\n  } else {\n    notify = function () {\n      // strange IE + webpack dev server bug - use .call(global)\n      macrotask.call(global, flush);\n    };\n  }\n\n  return function (fn) {\n    var task = { fn: fn, next: undefined };\n    if (last) last.next = task;\n    if (!head) {\n      head = task;\n      notify();\n    } last = task;\n  };\n};\n","'use strict';\n// 25.4.1.5 NewPromiseCapability(C)\nvar aFunction = require('./_a-function');\n\nfunction PromiseCapability(C) {\n  var resolve, reject;\n  this.promise = new C(function ($$resolve, $$reject) {\n    if (resolve !== undefined || reject !== undefined) throw TypeError('Bad Promise constructor');\n    resolve = $$resolve;\n    reject = $$reject;\n  });\n  this.resolve = aFunction(resolve);\n  this.reject = aFunction(reject);\n}\n\nmodule.exports.f = function (C) {\n  return new PromiseCapability(C);\n};\n","module.exports = function (exec) {\n  try {\n    return { e: false, v: exec() };\n  } catch (e) {\n    return { e: true, v: e };\n  }\n};\n","var global = require('./_global');\nvar navigator = global.navigator;\n\nmodule.exports = navigator && navigator.userAgent || '';\n","var anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar newPromiseCapability = require('./_new-promise-capability');\n\nmodule.exports = function (C, x) {\n  anObject(C);\n  if (isObject(x) && x.constructor === C) return x;\n  var promiseCapability = newPromiseCapability.f(C);\n  var resolve = promiseCapability.resolve;\n  resolve(x);\n  return promiseCapability.promise;\n};\n","var redefine = require('./_redefine');\nmodule.exports = function (target, src, safe) {\n  for (var key in src) redefine(target, key, src[key], safe);\n  return target;\n};\n","'use strict';\nvar LIBRARY = require('./_library');\nvar global = require('./_global');\nvar ctx = require('./_ctx');\nvar classof = require('./_classof');\nvar $export = require('./_export');\nvar isObject = require('./_is-object');\nvar aFunction = require('./_a-function');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar speciesConstructor = require('./_species-constructor');\nvar task = require('./_task').set;\nvar microtask = require('./_microtask')();\nvar newPromiseCapabilityModule = require('./_new-promise-capability');\nvar perform = require('./_perform');\nvar userAgent = require('./_user-agent');\nvar promiseResolve = require('./_promise-resolve');\nvar PROMISE = 'Promise';\nvar TypeError = global.TypeError;\nvar process = global.process;\nvar versions = process && process.versions;\nvar v8 = versions && versions.v8 || '';\nvar $Promise = global[PROMISE];\nvar isNode = classof(process) == 'process';\nvar empty = function () { /* empty */ };\nvar Internal, newGenericPromiseCapability, OwnPromiseCapability, Wrapper;\nvar newPromiseCapability = newGenericPromiseCapability = newPromiseCapabilityModule.f;\n\nvar USE_NATIVE = !!function () {\n  try {\n    // correct subclassing with @@species support\n    var promise = $Promise.resolve(1);\n    var FakePromise = (promise.constructor = {})[require('./_wks')('species')] = function (exec) {\n      exec(empty, empty);\n    };\n    // unhandled rejections tracking support, NodeJS Promise without it fails @@species test\n    return (isNode || typeof PromiseRejectionEvent == 'function')\n      && promise.then(empty) instanceof FakePromise\n      // v8 6.6 (Node 10 and Chrome 66) have a bug with resolving custom thenables\n      // https://bugs.chromium.org/p/chromium/issues/detail?id=830565\n      // we can't detect it synchronously, so just check versions\n      && v8.indexOf('6.6') !== 0\n      && userAgent.indexOf('Chrome/66') === -1;\n  } catch (e) { /* empty */ }\n}();\n\n// helpers\nvar isThenable = function (it) {\n  var then;\n  return isObject(it) && typeof (then = it.then) == 'function' ? then : false;\n};\nvar notify = function (promise, isReject) {\n  if (promise._n) return;\n  promise._n = true;\n  var chain = promise._c;\n  microtask(function () {\n    var value = promise._v;\n    var ok = promise._s == 1;\n    var i = 0;\n    var run = function (reaction) {\n      var handler = ok ? reaction.ok : reaction.fail;\n      var resolve = reaction.resolve;\n      var reject = reaction.reject;\n      var domain = reaction.domain;\n      var result, then, exited;\n      try {\n        if (handler) {\n          if (!ok) {\n            if (promise._h == 2) onHandleUnhandled(promise);\n            promise._h = 1;\n          }\n          if (handler === true) result = value;\n          else {\n            if (domain) domain.enter();\n            result = handler(value); // may throw\n            if (domain) {\n              domain.exit();\n              exited = true;\n            }\n          }\n          if (result === reaction.promise) {\n            reject(TypeError('Promise-chain cycle'));\n          } else if (then = isThenable(result)) {\n            then.call(result, resolve, reject);\n          } else resolve(result);\n        } else reject(value);\n      } catch (e) {\n        if (domain && !exited) domain.exit();\n        reject(e);\n      }\n    };\n    while (chain.length > i) run(chain[i++]); // variable length - can't use forEach\n    promise._c = [];\n    promise._n = false;\n    if (isReject && !promise._h) onUnhandled(promise);\n  });\n};\nvar onUnhandled = function (promise) {\n  task.call(global, function () {\n    var value = promise._v;\n    var unhandled = isUnhandled(promise);\n    var result, handler, console;\n    if (unhandled) {\n      result = perform(function () {\n        if (isNode) {\n          process.emit('unhandledRejection', value, promise);\n        } else if (handler = global.onunhandledrejection) {\n          handler({ promise: promise, reason: value });\n        } else if ((console = global.console) && console.error) {\n          console.error('Unhandled promise rejection', value);\n        }\n      });\n      // Browsers should not trigger `rejectionHandled` event if it was handled here, NodeJS - should\n      promise._h = isNode || isUnhandled(promise) ? 2 : 1;\n    } promise._a = undefined;\n    if (unhandled && result.e) throw result.v;\n  });\n};\nvar isUnhandled = function (promise) {\n  return promise._h !== 1 && (promise._a || promise._c).length === 0;\n};\nvar onHandleUnhandled = function (promise) {\n  task.call(global, function () {\n    var handler;\n    if (isNode) {\n      process.emit('rejectionHandled', promise);\n    } else if (handler = global.onrejectionhandled) {\n      handler({ promise: promise, reason: promise._v });\n    }\n  });\n};\nvar $reject = function (value) {\n  var promise = this;\n  if (promise._d) return;\n  promise._d = true;\n  promise = promise._w || promise; // unwrap\n  promise._v = value;\n  promise._s = 2;\n  if (!promise._a) promise._a = promise._c.slice();\n  notify(promise, true);\n};\nvar $resolve = function (value) {\n  var promise = this;\n  var then;\n  if (promise._d) return;\n  promise._d = true;\n  promise = promise._w || promise; // unwrap\n  try {\n    if (promise === value) throw TypeError(\"Promise can't be resolved itself\");\n    if (then = isThenable(value)) {\n      microtask(function () {\n        var wrapper = { _w: promise, _d: false }; // wrap\n        try {\n          then.call(value, ctx($resolve, wrapper, 1), ctx($reject, wrapper, 1));\n        } catch (e) {\n          $reject.call(wrapper, e);\n        }\n      });\n    } else {\n      promise._v = value;\n      promise._s = 1;\n      notify(promise, false);\n    }\n  } catch (e) {\n    $reject.call({ _w: promise, _d: false }, e); // wrap\n  }\n};\n\n// constructor polyfill\nif (!USE_NATIVE) {\n  // 25.4.3.1 Promise(executor)\n  $Promise = function Promise(executor) {\n    anInstance(this, $Promise, PROMISE, '_h');\n    aFunction(executor);\n    Internal.call(this);\n    try {\n      executor(ctx($resolve, this, 1), ctx($reject, this, 1));\n    } catch (err) {\n      $reject.call(this, err);\n    }\n  };\n  // eslint-disable-next-line no-unused-vars\n  Internal = function Promise(executor) {\n    this._c = [];             // <- awaiting reactions\n    this._a = undefined;      // <- checked in isUnhandled reactions\n    this._s = 0;              // <- state\n    this._d = false;          // <- done\n    this._v = undefined;      // <- value\n    this._h = 0;              // <- rejection state, 0 - default, 1 - handled, 2 - unhandled\n    this._n = false;          // <- notify\n  };\n  Internal.prototype = require('./_redefine-all')($Promise.prototype, {\n    // 25.4.5.3 Promise.prototype.then(onFulfilled, onRejected)\n    then: function then(onFulfilled, onRejected) {\n      var reaction = newPromiseCapability(speciesConstructor(this, $Promise));\n      reaction.ok = typeof onFulfilled == 'function' ? onFulfilled : true;\n      reaction.fail = typeof onRejected == 'function' && onRejected;\n      reaction.domain = isNode ? process.domain : undefined;\n      this._c.push(reaction);\n      if (this._a) this._a.push(reaction);\n      if (this._s) notify(this, false);\n      return reaction.promise;\n    },\n    // 25.4.5.1 Promise.prototype.catch(onRejected)\n    'catch': function (onRejected) {\n      return this.then(undefined, onRejected);\n    }\n  });\n  OwnPromiseCapability = function () {\n    var promise = new Internal();\n    this.promise = promise;\n    this.resolve = ctx($resolve, promise, 1);\n    this.reject = ctx($reject, promise, 1);\n  };\n  newPromiseCapabilityModule.f = newPromiseCapability = function (C) {\n    return C === $Promise || C === Wrapper\n      ? new OwnPromiseCapability(C)\n      : newGenericPromiseCapability(C);\n  };\n}\n\n$export($export.G + $export.W + $export.F * !USE_NATIVE, { Promise: $Promise });\nrequire('./_set-to-string-tag')($Promise, PROMISE);\nrequire('./_set-species')(PROMISE);\nWrapper = require('./_core')[PROMISE];\n\n// statics\n$export($export.S + $export.F * !USE_NATIVE, PROMISE, {\n  // 25.4.4.5 Promise.reject(r)\n  reject: function reject(r) {\n    var capability = newPromiseCapability(this);\n    var $$reject = capability.reject;\n    $$reject(r);\n    return capability.promise;\n  }\n});\n$export($export.S + $export.F * (LIBRARY || !USE_NATIVE), PROMISE, {\n  // 25.4.4.6 Promise.resolve(x)\n  resolve: function resolve(x) {\n    return promiseResolve(LIBRARY && this === Wrapper ? $Promise : this, x);\n  }\n});\n$export($export.S + $export.F * !(USE_NATIVE && require('./_iter-detect')(function (iter) {\n  $Promise.all(iter)['catch'](empty);\n})), PROMISE, {\n  // 25.4.4.1 Promise.all(iterable)\n  all: function all(iterable) {\n    var C = this;\n    var capability = newPromiseCapability(C);\n    var resolve = capability.resolve;\n    var reject = capability.reject;\n    var result = perform(function () {\n      var values = [];\n      var index = 0;\n      var remaining = 1;\n      forOf(iterable, false, function (promise) {\n        var $index = index++;\n        var alreadyCalled = false;\n        values.push(undefined);\n        remaining++;\n        C.resolve(promise).then(function (value) {\n          if (alreadyCalled) return;\n          alreadyCalled = true;\n          values[$index] = value;\n          --remaining || resolve(values);\n        }, reject);\n      });\n      --remaining || resolve(values);\n    });\n    if (result.e) reject(result.v);\n    return capability.promise;\n  },\n  // 25.4.4.4 Promise.race(iterable)\n  race: function race(iterable) {\n    var C = this;\n    var capability = newPromiseCapability(C);\n    var reject = capability.reject;\n    var result = perform(function () {\n      forOf(iterable, false, function (promise) {\n        C.resolve(promise).then(capability.resolve, reject);\n      });\n    });\n    if (result.e) reject(result.v);\n    return capability.promise;\n  }\n});\n","var isObject = require('./_is-object');\nmodule.exports = function (it, TYPE) {\n  if (!isObject(it) || it._t !== TYPE) throw TypeError('Incompatible receiver, ' + TYPE + ' required!');\n  return it;\n};\n","'use strict';\nvar dP = require('./_object-dp').f;\nvar create = require('./_object-create');\nvar redefineAll = require('./_redefine-all');\nvar ctx = require('./_ctx');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar $iterDefine = require('./_iter-define');\nvar step = require('./_iter-step');\nvar setSpecies = require('./_set-species');\nvar DESCRIPTORS = require('./_descriptors');\nvar fastKey = require('./_meta').fastKey;\nvar validate = require('./_validate-collection');\nvar SIZE = DESCRIPTORS ? '_s' : 'size';\n\nvar getEntry = function (that, key) {\n  // fast case\n  var index = fastKey(key);\n  var entry;\n  if (index !== 'F') return that._i[index];\n  // frozen object case\n  for (entry = that._f; entry; entry = entry.n) {\n    if (entry.k == key) return entry;\n  }\n};\n\nmodule.exports = {\n  getConstructor: function (wrapper, NAME, IS_MAP, ADDER) {\n    var C = wrapper(function (that, iterable) {\n      anInstance(that, C, NAME, '_i');\n      that._t = NAME;         // collection type\n      that._i = create(null); // index\n      that._f = undefined;    // first entry\n      that._l = undefined;    // last entry\n      that[SIZE] = 0;         // size\n      if (iterable != undefined) forOf(iterable, IS_MAP, that[ADDER], that);\n    });\n    redefineAll(C.prototype, {\n      // 23.1.3.1 Map.prototype.clear()\n      // 23.2.3.2 Set.prototype.clear()\n      clear: function clear() {\n        for (var that = validate(this, NAME), data = that._i, entry = that._f; entry; entry = entry.n) {\n          entry.r = true;\n          if (entry.p) entry.p = entry.p.n = undefined;\n          delete data[entry.i];\n        }\n        that._f = that._l = undefined;\n        that[SIZE] = 0;\n      },\n      // 23.1.3.3 Map.prototype.delete(key)\n      // 23.2.3.4 Set.prototype.delete(value)\n      'delete': function (key) {\n        var that = validate(this, NAME);\n        var entry = getEntry(that, key);\n        if (entry) {\n          var next = entry.n;\n          var prev = entry.p;\n          delete that._i[entry.i];\n          entry.r = true;\n          if (prev) prev.n = next;\n          if (next) next.p = prev;\n          if (that._f == entry) that._f = next;\n          if (that._l == entry) that._l = prev;\n          that[SIZE]--;\n        } return !!entry;\n      },\n      // 23.2.3.6 Set.prototype.forEach(callbackfn, thisArg = undefined)\n      // 23.1.3.5 Map.prototype.forEach(callbackfn, thisArg = undefined)\n      forEach: function forEach(callbackfn /* , that = undefined */) {\n        validate(this, NAME);\n        var f = ctx(callbackfn, arguments.length > 1 ? arguments[1] : undefined, 3);\n        var entry;\n        while (entry = entry ? entry.n : this._f) {\n          f(entry.v, entry.k, this);\n          // revert to the last existing entry\n          while (entry && entry.r) entry = entry.p;\n        }\n      },\n      // 23.1.3.7 Map.prototype.has(key)\n      // 23.2.3.7 Set.prototype.has(value)\n      has: function has(key) {\n        return !!getEntry(validate(this, NAME), key);\n      }\n    });\n    if (DESCRIPTORS) dP(C.prototype, 'size', {\n      get: function () {\n        return validate(this, NAME)[SIZE];\n      }\n    });\n    return C;\n  },\n  def: function (that, key, value) {\n    var entry = getEntry(that, key);\n    var prev, index;\n    // change existing entry\n    if (entry) {\n      entry.v = value;\n    // create new entry\n    } else {\n      that._l = entry = {\n        i: index = fastKey(key, true), // <- index\n        k: key,                        // <- key\n        v: value,                      // <- value\n        p: prev = that._l,             // <- previous entry\n        n: undefined,                  // <- next entry\n        r: false                       // <- removed\n      };\n      if (!that._f) that._f = entry;\n      if (prev) prev.n = entry;\n      that[SIZE]++;\n      // add to index\n      if (index !== 'F') that._i[index] = entry;\n    } return that;\n  },\n  getEntry: getEntry,\n  setStrong: function (C, NAME, IS_MAP) {\n    // add .keys, .values, .entries, [@@iterator]\n    // 23.1.3.4, 23.1.3.8, 23.1.3.11, 23.1.3.12, 23.2.3.5, 23.2.3.8, 23.2.3.10, 23.2.3.11\n    $iterDefine(C, NAME, function (iterated, kind) {\n      this._t = validate(iterated, NAME); // target\n      this._k = kind;                     // kind\n      this._l = undefined;                // previous\n    }, function () {\n      var that = this;\n      var kind = that._k;\n      var entry = that._l;\n      // revert to the last existing entry\n      while (entry && entry.r) entry = entry.p;\n      // get next entry\n      if (!that._t || !(that._l = entry = entry ? entry.n : that._t._f)) {\n        // or finish the iteration\n        that._t = undefined;\n        return step(1);\n      }\n      // return step by kind\n      if (kind == 'keys') return step(0, entry.k);\n      if (kind == 'values') return step(0, entry.v);\n      return step(0, [entry.k, entry.v]);\n    }, IS_MAP ? 'entries' : 'values', !IS_MAP, true);\n\n    // add [@@species], 23.1.2.2, 23.2.2.2\n    setSpecies(NAME);\n  }\n};\n","'use strict';\nvar global = require('./_global');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar redefineAll = require('./_redefine-all');\nvar meta = require('./_meta');\nvar forOf = require('./_for-of');\nvar anInstance = require('./_an-instance');\nvar isObject = require('./_is-object');\nvar fails = require('./_fails');\nvar $iterDetect = require('./_iter-detect');\nvar setToStringTag = require('./_set-to-string-tag');\nvar inheritIfRequired = require('./_inherit-if-required');\n\nmodule.exports = function (NAME, wrapper, methods, common, IS_MAP, IS_WEAK) {\n  var Base = global[NAME];\n  var C = Base;\n  var ADDER = IS_MAP ? 'set' : 'add';\n  var proto = C && C.prototype;\n  var O = {};\n  var fixMethod = function (KEY) {\n    var fn = proto[KEY];\n    redefine(proto, KEY,\n      KEY == 'delete' ? function (a) {\n        return IS_WEAK && !isObject(a) ? false : fn.call(this, a === 0 ? 0 : a);\n      } : KEY == 'has' ? function has(a) {\n        return IS_WEAK && !isObject(a) ? false : fn.call(this, a === 0 ? 0 : a);\n      } : KEY == 'get' ? function get(a) {\n        return IS_WEAK && !isObject(a) ? undefined : fn.call(this, a === 0 ? 0 : a);\n      } : KEY == 'add' ? function add(a) { fn.call(this, a === 0 ? 0 : a); return this; }\n        : function set(a, b) { fn.call(this, a === 0 ? 0 : a, b); return this; }\n    );\n  };\n  if (typeof C != 'function' || !(IS_WEAK || proto.forEach && !fails(function () {\n    new C().entries().next();\n  }))) {\n    // create collection constructor\n    C = common.getConstructor(wrapper, NAME, IS_MAP, ADDER);\n    redefineAll(C.prototype, methods);\n    meta.NEED = true;\n  } else {\n    var instance = new C();\n    // early implementations not supports chaining\n    var HASNT_CHAINING = instance[ADDER](IS_WEAK ? {} : -0, 1) != instance;\n    // V8 ~  Chromium 40- weak-collections throws on primitives, but should return false\n    var THROWS_ON_PRIMITIVES = fails(function () { instance.has(1); });\n    // most early implementations doesn't supports iterables, most modern - not close it correctly\n    var ACCEPT_ITERABLES = $iterDetect(function (iter) { new C(iter); }); // eslint-disable-line no-new\n    // for early implementations -0 and +0 not the same\n    var BUGGY_ZERO = !IS_WEAK && fails(function () {\n      // V8 ~ Chromium 42- fails only with 5+ elements\n      var $instance = new C();\n      var index = 5;\n      while (index--) $instance[ADDER](index, index);\n      return !$instance.has(-0);\n    });\n    if (!ACCEPT_ITERABLES) {\n      C = wrapper(function (target, iterable) {\n        anInstance(target, C, NAME);\n        var that = inheritIfRequired(new Base(), target, C);\n        if (iterable != undefined) forOf(iterable, IS_MAP, that[ADDER], that);\n        return that;\n      });\n      C.prototype = proto;\n      proto.constructor = C;\n    }\n    if (THROWS_ON_PRIMITIVES || BUGGY_ZERO) {\n      fixMethod('delete');\n      fixMethod('has');\n      IS_MAP && fixMethod('get');\n    }\n    if (BUGGY_ZERO || HASNT_CHAINING) fixMethod(ADDER);\n    // weak collections should not contains .clear method\n    if (IS_WEAK && proto.clear) delete proto.clear;\n  }\n\n  setToStringTag(C, NAME);\n\n  O[NAME] = C;\n  $export($export.G + $export.W + $export.F * (C != Base), O);\n\n  if (!IS_WEAK) common.setStrong(C, NAME, IS_MAP);\n\n  return C;\n};\n","'use strict';\nvar strong = require('./_collection-strong');\nvar validate = require('./_validate-collection');\nvar MAP = 'Map';\n\n// 23.1 Map Objects\nmodule.exports = require('./_collection')(MAP, function (get) {\n  return function Map() { return get(this, arguments.length > 0 ? arguments[0] : undefined); };\n}, {\n  // 23.1.3.6 Map.prototype.get(key)\n  get: function get(key) {\n    var entry = strong.getEntry(validate(this, MAP), key);\n    return entry && entry.v;\n  },\n  // 23.1.3.9 Map.prototype.set(key, value)\n  set: function set(key, value) {\n    return strong.def(validate(this, MAP), key === 0 ? 0 : key, value);\n  }\n}, strong, true);\n","'use strict';\nvar strong = require('./_collection-strong');\nvar validate = require('./_validate-collection');\nvar SET = 'Set';\n\n// 23.2 Set Objects\nmodule.exports = require('./_collection')(SET, function (get) {\n  return function Set() { return get(this, arguments.length > 0 ? arguments[0] : undefined); };\n}, {\n  // 23.2.3.1 Set.prototype.add(value)\n  add: function add(value) {\n    return strong.def(validate(this, SET), value = value === 0 ? 0 : value, value);\n  }\n}, strong);\n","'use strict';\nvar redefineAll = require('./_redefine-all');\nvar getWeak = require('./_meta').getWeak;\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar createArrayMethod = require('./_array-methods');\nvar $has = require('./_has');\nvar validate = require('./_validate-collection');\nvar arrayFind = createArrayMethod(5);\nvar arrayFindIndex = createArrayMethod(6);\nvar id = 0;\n\n// fallback for uncaught frozen keys\nvar uncaughtFrozenStore = function (that) {\n  return that._l || (that._l = new UncaughtFrozenStore());\n};\nvar UncaughtFrozenStore = function () {\n  this.a = [];\n};\nvar findUncaughtFrozen = function (store, key) {\n  return arrayFind(store.a, function (it) {\n    return it[0] === key;\n  });\n};\nUncaughtFrozenStore.prototype = {\n  get: function (key) {\n    var entry = findUncaughtFrozen(this, key);\n    if (entry) return entry[1];\n  },\n  has: function (key) {\n    return !!findUncaughtFrozen(this, key);\n  },\n  set: function (key, value) {\n    var entry = findUncaughtFrozen(this, key);\n    if (entry) entry[1] = value;\n    else this.a.push([key, value]);\n  },\n  'delete': function (key) {\n    var index = arrayFindIndex(this.a, function (it) {\n      return it[0] === key;\n    });\n    if (~index) this.a.splice(index, 1);\n    return !!~index;\n  }\n};\n\nmodule.exports = {\n  getConstructor: function (wrapper, NAME, IS_MAP, ADDER) {\n    var C = wrapper(function (that, iterable) {\n      anInstance(that, C, NAME, '_i');\n      that._t = NAME;      // collection type\n      that._i = id++;      // collection id\n      that._l = undefined; // leak store for uncaught frozen objects\n      if (iterable != undefined) forOf(iterable, IS_MAP, that[ADDER], that);\n    });\n    redefineAll(C.prototype, {\n      // 23.3.3.2 WeakMap.prototype.delete(key)\n      // 23.4.3.3 WeakSet.prototype.delete(value)\n      'delete': function (key) {\n        if (!isObject(key)) return false;\n        var data = getWeak(key);\n        if (data === true) return uncaughtFrozenStore(validate(this, NAME))['delete'](key);\n        return data && $has(data, this._i) && delete data[this._i];\n      },\n      // 23.3.3.4 WeakMap.prototype.has(key)\n      // 23.4.3.4 WeakSet.prototype.has(value)\n      has: function has(key) {\n        if (!isObject(key)) return false;\n        var data = getWeak(key);\n        if (data === true) return uncaughtFrozenStore(validate(this, NAME)).has(key);\n        return data && $has(data, this._i);\n      }\n    });\n    return C;\n  },\n  def: function (that, key, value) {\n    var data = getWeak(anObject(key), true);\n    if (data === true) uncaughtFrozenStore(that).set(key, value);\n    else data[that._i] = value;\n    return that;\n  },\n  ufstore: uncaughtFrozenStore\n};\n","'use strict';\nvar global = require('./_global');\nvar each = require('./_array-methods')(0);\nvar redefine = require('./_redefine');\nvar meta = require('./_meta');\nvar assign = require('./_object-assign');\nvar weak = require('./_collection-weak');\nvar isObject = require('./_is-object');\nvar validate = require('./_validate-collection');\nvar NATIVE_WEAK_MAP = require('./_validate-collection');\nvar IS_IE11 = !global.ActiveXObject && 'ActiveXObject' in global;\nvar WEAK_MAP = 'WeakMap';\nvar getWeak = meta.getWeak;\nvar isExtensible = Object.isExtensible;\nvar uncaughtFrozenStore = weak.ufstore;\nvar InternalMap;\n\nvar wrapper = function (get) {\n  return function WeakMap() {\n    return get(this, arguments.length > 0 ? arguments[0] : undefined);\n  };\n};\n\nvar methods = {\n  // 23.3.3.3 WeakMap.prototype.get(key)\n  get: function get(key) {\n    if (isObject(key)) {\n      var data = getWeak(key);\n      if (data === true) return uncaughtFrozenStore(validate(this, WEAK_MAP)).get(key);\n      return data ? data[this._i] : undefined;\n    }\n  },\n  // 23.3.3.5 WeakMap.prototype.set(key, value)\n  set: function set(key, value) {\n    return weak.def(validate(this, WEAK_MAP), key, value);\n  }\n};\n\n// 23.3 WeakMap Objects\nvar $WeakMap = module.exports = require('./_collection')(WEAK_MAP, wrapper, methods, weak, true, true);\n\n// IE11 WeakMap frozen keys fix\nif (NATIVE_WEAK_MAP && IS_IE11) {\n  InternalMap = weak.getConstructor(wrapper, WEAK_MAP);\n  assign(InternalMap.prototype, methods);\n  meta.NEED = true;\n  each(['delete', 'has', 'get', 'set'], function (key) {\n    var proto = $WeakMap.prototype;\n    var method = proto[key];\n    redefine(proto, key, function (a, b) {\n      // store frozen objects on internal weakmap shim\n      if (isObject(a) && !isExtensible(a)) {\n        if (!this._f) this._f = new InternalMap();\n        var result = this._f[key](a, b);\n        return key == 'set' ? this : result;\n      // store all the rest on native weakmap\n      } return method.call(this, a, b);\n    });\n  });\n}\n","'use strict';\nvar weak = require('./_collection-weak');\nvar validate = require('./_validate-collection');\nvar WEAK_SET = 'WeakSet';\n\n// 23.4 WeakSet Objects\nrequire('./_collection')(WEAK_SET, function (get) {\n  return function WeakSet() { return get(this, arguments.length > 0 ? arguments[0] : undefined); };\n}, {\n  // 23.4.3.1 WeakSet.prototype.add(value)\n  add: function add(value) {\n    return weak.def(validate(this, WEAK_SET), value, true);\n  }\n}, weak, false, true);\n","var global = require('./_global');\nvar hide = require('./_hide');\nvar uid = require('./_uid');\nvar TYPED = uid('typed_array');\nvar VIEW = uid('view');\nvar ABV = !!(global.ArrayBuffer && global.DataView);\nvar CONSTR = ABV;\nvar i = 0;\nvar l = 9;\nvar Typed;\n\nvar TypedArrayConstructors = (\n  'Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array'\n).split(',');\n\nwhile (i < l) {\n  if (Typed = global[TypedArrayConstructors[i++]]) {\n    hide(Typed.prototype, TYPED, true);\n    hide(Typed.prototype, VIEW, true);\n  } else CONSTR = false;\n}\n\nmodule.exports = {\n  ABV: ABV,\n  CONSTR: CONSTR,\n  TYPED: TYPED,\n  VIEW: VIEW\n};\n","// https://tc39.github.io/ecma262/#sec-toindex\nvar toInteger = require('./_to-integer');\nvar toLength = require('./_to-length');\nmodule.exports = function (it) {\n  if (it === undefined) return 0;\n  var number = toInteger(it);\n  var length = toLength(number);\n  if (number !== length) throw RangeError('Wrong length!');\n  return length;\n};\n","'use strict';\nvar global = require('./_global');\nvar DESCRIPTORS = require('./_descriptors');\nvar LIBRARY = require('./_library');\nvar $typed = require('./_typed');\nvar hide = require('./_hide');\nvar redefineAll = require('./_redefine-all');\nvar fails = require('./_fails');\nvar anInstance = require('./_an-instance');\nvar toInteger = require('./_to-integer');\nvar toLength = require('./_to-length');\nvar toIndex = require('./_to-index');\nvar gOPN = require('./_object-gopn').f;\nvar dP = require('./_object-dp').f;\nvar arrayFill = require('./_array-fill');\nvar setToStringTag = require('./_set-to-string-tag');\nvar ARRAY_BUFFER = 'ArrayBuffer';\nvar DATA_VIEW = 'DataView';\nvar PROTOTYPE = 'prototype';\nvar WRONG_LENGTH = 'Wrong length!';\nvar WRONG_INDEX = 'Wrong index!';\nvar $ArrayBuffer = global[ARRAY_BUFFER];\nvar $DataView = global[DATA_VIEW];\nvar Math = global.Math;\nvar RangeError = global.RangeError;\n// eslint-disable-next-line no-shadow-restricted-names\nvar Infinity = global.Infinity;\nvar BaseBuffer = $ArrayBuffer;\nvar abs = Math.abs;\nvar pow = Math.pow;\nvar floor = Math.floor;\nvar log = Math.log;\nvar LN2 = Math.LN2;\nvar BUFFER = 'buffer';\nvar BYTE_LENGTH = 'byteLength';\nvar BYTE_OFFSET = 'byteOffset';\nvar $BUFFER = DESCRIPTORS ? '_b' : BUFFER;\nvar $LENGTH = DESCRIPTORS ? '_l' : BYTE_LENGTH;\nvar $OFFSET = DESCRIPTORS ? '_o' : BYTE_OFFSET;\n\n// IEEE754 conversions based on https://github.com/feross/ieee754\nfunction packIEEE754(value, mLen, nBytes) {\n  var buffer = new Array(nBytes);\n  var eLen = nBytes * 8 - mLen - 1;\n  var eMax = (1 << eLen) - 1;\n  var eBias = eMax >> 1;\n  var rt = mLen === 23 ? pow(2, -24) - pow(2, -77) : 0;\n  var i = 0;\n  var s = value < 0 || value === 0 && 1 / value < 0 ? 1 : 0;\n  var e, m, c;\n  value = abs(value);\n  // eslint-disable-next-line no-self-compare\n  if (value != value || value === Infinity) {\n    // eslint-disable-next-line no-self-compare\n    m = value != value ? 1 : 0;\n    e = eMax;\n  } else {\n    e = floor(log(value) / LN2);\n    if (value * (c = pow(2, -e)) < 1) {\n      e--;\n      c *= 2;\n    }\n    if (e + eBias >= 1) {\n      value += rt / c;\n    } else {\n      value += rt * pow(2, 1 - eBias);\n    }\n    if (value * c >= 2) {\n      e++;\n      c /= 2;\n    }\n    if (e + eBias >= eMax) {\n      m = 0;\n      e = eMax;\n    } else if (e + eBias >= 1) {\n      m = (value * c - 1) * pow(2, mLen);\n      e = e + eBias;\n    } else {\n      m = value * pow(2, eBias - 1) * pow(2, mLen);\n      e = 0;\n    }\n  }\n  for (; mLen >= 8; buffer[i++] = m & 255, m /= 256, mLen -= 8);\n  e = e << mLen | m;\n  eLen += mLen;\n  for (; eLen > 0; buffer[i++] = e & 255, e /= 256, eLen -= 8);\n  buffer[--i] |= s * 128;\n  return buffer;\n}\nfunction unpackIEEE754(buffer, mLen, nBytes) {\n  var eLen = nBytes * 8 - mLen - 1;\n  var eMax = (1 << eLen) - 1;\n  var eBias = eMax >> 1;\n  var nBits = eLen - 7;\n  var i = nBytes - 1;\n  var s = buffer[i--];\n  var e = s & 127;\n  var m;\n  s >>= 7;\n  for (; nBits > 0; e = e * 256 + buffer[i], i--, nBits -= 8);\n  m = e & (1 << -nBits) - 1;\n  e >>= -nBits;\n  nBits += mLen;\n  for (; nBits > 0; m = m * 256 + buffer[i], i--, nBits -= 8);\n  if (e === 0) {\n    e = 1 - eBias;\n  } else if (e === eMax) {\n    return m ? NaN : s ? -Infinity : Infinity;\n  } else {\n    m = m + pow(2, mLen);\n    e = e - eBias;\n  } return (s ? -1 : 1) * m * pow(2, e - mLen);\n}\n\nfunction unpackI32(bytes) {\n  return bytes[3] << 24 | bytes[2] << 16 | bytes[1] << 8 | bytes[0];\n}\nfunction packI8(it) {\n  return [it & 0xff];\n}\nfunction packI16(it) {\n  return [it & 0xff, it >> 8 & 0xff];\n}\nfunction packI32(it) {\n  return [it & 0xff, it >> 8 & 0xff, it >> 16 & 0xff, it >> 24 & 0xff];\n}\nfunction packF64(it) {\n  return packIEEE754(it, 52, 8);\n}\nfunction packF32(it) {\n  return packIEEE754(it, 23, 4);\n}\n\nfunction addGetter(C, key, internal) {\n  dP(C[PROTOTYPE], key, { get: function () { return this[internal]; } });\n}\n\nfunction get(view, bytes, index, isLittleEndian) {\n  var numIndex = +index;\n  var intIndex = toIndex(numIndex);\n  if (intIndex + bytes > view[$LENGTH]) throw RangeError(WRONG_INDEX);\n  var store = view[$BUFFER]._b;\n  var start = intIndex + view[$OFFSET];\n  var pack = store.slice(start, start + bytes);\n  return isLittleEndian ? pack : pack.reverse();\n}\nfunction set(view, bytes, index, conversion, value, isLittleEndian) {\n  var numIndex = +index;\n  var intIndex = toIndex(numIndex);\n  if (intIndex + bytes > view[$LENGTH]) throw RangeError(WRONG_INDEX);\n  var store = view[$BUFFER]._b;\n  var start = intIndex + view[$OFFSET];\n  var pack = conversion(+value);\n  for (var i = 0; i < bytes; i++) store[start + i] = pack[isLittleEndian ? i : bytes - i - 1];\n}\n\nif (!$typed.ABV) {\n  $ArrayBuffer = function ArrayBuffer(length) {\n    anInstance(this, $ArrayBuffer, ARRAY_BUFFER);\n    var byteLength = toIndex(length);\n    this._b = arrayFill.call(new Array(byteLength), 0);\n    this[$LENGTH] = byteLength;\n  };\n\n  $DataView = function DataView(buffer, byteOffset, byteLength) {\n    anInstance(this, $DataView, DATA_VIEW);\n    anInstance(buffer, $ArrayBuffer, DATA_VIEW);\n    var bufferLength = buffer[$LENGTH];\n    var offset = toInteger(byteOffset);\n    if (offset < 0 || offset > bufferLength) throw RangeError('Wrong offset!');\n    byteLength = byteLength === undefined ? bufferLength - offset : toLength(byteLength);\n    if (offset + byteLength > bufferLength) throw RangeError(WRONG_LENGTH);\n    this[$BUFFER] = buffer;\n    this[$OFFSET] = offset;\n    this[$LENGTH] = byteLength;\n  };\n\n  if (DESCRIPTORS) {\n    addGetter($ArrayBuffer, BYTE_LENGTH, '_l');\n    addGetter($DataView, BUFFER, '_b');\n    addGetter($DataView, BYTE_LENGTH, '_l');\n    addGetter($DataView, BYTE_OFFSET, '_o');\n  }\n\n  redefineAll($DataView[PROTOTYPE], {\n    getInt8: function getInt8(byteOffset) {\n      return get(this, 1, byteOffset)[0] << 24 >> 24;\n    },\n    getUint8: function getUint8(byteOffset) {\n      return get(this, 1, byteOffset)[0];\n    },\n    getInt16: function getInt16(byteOffset /* , littleEndian */) {\n      var bytes = get(this, 2, byteOffset, arguments[1]);\n      return (bytes[1] << 8 | bytes[0]) << 16 >> 16;\n    },\n    getUint16: function getUint16(byteOffset /* , littleEndian */) {\n      var bytes = get(this, 2, byteOffset, arguments[1]);\n      return bytes[1] << 8 | bytes[0];\n    },\n    getInt32: function getInt32(byteOffset /* , littleEndian */) {\n      return unpackI32(get(this, 4, byteOffset, arguments[1]));\n    },\n    getUint32: function getUint32(byteOffset /* , littleEndian */) {\n      return unpackI32(get(this, 4, byteOffset, arguments[1])) >>> 0;\n    },\n    getFloat32: function getFloat32(byteOffset /* , littleEndian */) {\n      return unpackIEEE754(get(this, 4, byteOffset, arguments[1]), 23, 4);\n    },\n    getFloat64: function getFloat64(byteOffset /* , littleEndian */) {\n      return unpackIEEE754(get(this, 8, byteOffset, arguments[1]), 52, 8);\n    },\n    setInt8: function setInt8(byteOffset, value) {\n      set(this, 1, byteOffset, packI8, value);\n    },\n    setUint8: function setUint8(byteOffset, value) {\n      set(this, 1, byteOffset, packI8, value);\n    },\n    setInt16: function setInt16(byteOffset, value /* , littleEndian */) {\n      set(this, 2, byteOffset, packI16, value, arguments[2]);\n    },\n    setUint16: function setUint16(byteOffset, value /* , littleEndian */) {\n      set(this, 2, byteOffset, packI16, value, arguments[2]);\n    },\n    setInt32: function setInt32(byteOffset, value /* , littleEndian */) {\n      set(this, 4, byteOffset, packI32, value, arguments[2]);\n    },\n    setUint32: function setUint32(byteOffset, value /* , littleEndian */) {\n      set(this, 4, byteOffset, packI32, value, arguments[2]);\n    },\n    setFloat32: function setFloat32(byteOffset, value /* , littleEndian */) {\n      set(this, 4, byteOffset, packF32, value, arguments[2]);\n    },\n    setFloat64: function setFloat64(byteOffset, value /* , littleEndian */) {\n      set(this, 8, byteOffset, packF64, value, arguments[2]);\n    }\n  });\n} else {\n  if (!fails(function () {\n    $ArrayBuffer(1);\n  }) || !fails(function () {\n    new $ArrayBuffer(-1); // eslint-disable-line no-new\n  }) || fails(function () {\n    new $ArrayBuffer(); // eslint-disable-line no-new\n    new $ArrayBuffer(1.5); // eslint-disable-line no-new\n    new $ArrayBuffer(NaN); // eslint-disable-line no-new\n    return $ArrayBuffer.name != ARRAY_BUFFER;\n  })) {\n    $ArrayBuffer = function ArrayBuffer(length) {\n      anInstance(this, $ArrayBuffer);\n      return new BaseBuffer(toIndex(length));\n    };\n    var ArrayBufferProto = $ArrayBuffer[PROTOTYPE] = BaseBuffer[PROTOTYPE];\n    for (var keys = gOPN(BaseBuffer), j = 0, key; keys.length > j;) {\n      if (!((key = keys[j++]) in $ArrayBuffer)) hide($ArrayBuffer, key, BaseBuffer[key]);\n    }\n    if (!LIBRARY) ArrayBufferProto.constructor = $ArrayBuffer;\n  }\n  // iOS Safari 7.x bug\n  var view = new $DataView(new $ArrayBuffer(2));\n  var $setInt8 = $DataView[PROTOTYPE].setInt8;\n  view.setInt8(0, 2147483648);\n  view.setInt8(1, 2147483649);\n  if (view.getInt8(0) || !view.getInt8(1)) redefineAll($DataView[PROTOTYPE], {\n    setInt8: function setInt8(byteOffset, value) {\n      $setInt8.call(this, byteOffset, value << 24 >> 24);\n    },\n    setUint8: function setUint8(byteOffset, value) {\n      $setInt8.call(this, byteOffset, value << 24 >> 24);\n    }\n  }, true);\n}\nsetToStringTag($ArrayBuffer, ARRAY_BUFFER);\nsetToStringTag($DataView, DATA_VIEW);\nhide($DataView[PROTOTYPE], $typed.VIEW, true);\nexports[ARRAY_BUFFER] = $ArrayBuffer;\nexports[DATA_VIEW] = $DataView;\n","'use strict';\nvar $export = require('./_export');\nvar $typed = require('./_typed');\nvar buffer = require('./_typed-buffer');\nvar anObject = require('./_an-object');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\nvar isObject = require('./_is-object');\nvar ArrayBuffer = require('./_global').ArrayBuffer;\nvar speciesConstructor = require('./_species-constructor');\nvar $ArrayBuffer = buffer.ArrayBuffer;\nvar $DataView = buffer.DataView;\nvar $isView = $typed.ABV && ArrayBuffer.isView;\nvar $slice = $ArrayBuffer.prototype.slice;\nvar VIEW = $typed.VIEW;\nvar ARRAY_BUFFER = 'ArrayBuffer';\n\n$export($export.G + $export.W + $export.F * (ArrayBuffer !== $ArrayBuffer), { ArrayBuffer: $ArrayBuffer });\n\n$export($export.S + $export.F * !$typed.CONSTR, ARRAY_BUFFER, {\n  // 24.1.3.1 ArrayBuffer.isView(arg)\n  isView: function isView(it) {\n    return $isView && $isView(it) || isObject(it) && VIEW in it;\n  }\n});\n\n$export($export.P + $export.U + $export.F * require('./_fails')(function () {\n  return !new $ArrayBuffer(2).slice(1, undefined).byteLength;\n}), ARRAY_BUFFER, {\n  // 24.1.4.3 ArrayBuffer.prototype.slice(start, end)\n  slice: function slice(start, end) {\n    if ($slice !== undefined && end === undefined) return $slice.call(anObject(this), start); // FF fix\n    var len = anObject(this).byteLength;\n    var first = toAbsoluteIndex(start, len);\n    var fin = toAbsoluteIndex(end === undefined ? len : end, len);\n    var result = new (speciesConstructor(this, $ArrayBuffer))(toLength(fin - first));\n    var viewS = new $DataView(this);\n    var viewT = new $DataView(result);\n    var index = 0;\n    while (first < fin) {\n      viewT.setUint8(index++, viewS.getUint8(first++));\n    } return result;\n  }\n});\n\nrequire('./_set-species')(ARRAY_BUFFER);\n","var $export = require('./_export');\n$export($export.G + $export.W + $export.F * !require('./_typed').ABV, {\n  DataView: require('./_typed-buffer').DataView\n});\n","'use strict';\nif (require('./_descriptors')) {\n  var LIBRARY = require('./_library');\n  var global = require('./_global');\n  var fails = require('./_fails');\n  var $export = require('./_export');\n  var $typed = require('./_typed');\n  var $buffer = require('./_typed-buffer');\n  var ctx = require('./_ctx');\n  var anInstance = require('./_an-instance');\n  var propertyDesc = require('./_property-desc');\n  var hide = require('./_hide');\n  var redefineAll = require('./_redefine-all');\n  var toInteger = require('./_to-integer');\n  var toLength = require('./_to-length');\n  var toIndex = require('./_to-index');\n  var toAbsoluteIndex = require('./_to-absolute-index');\n  var toPrimitive = require('./_to-primitive');\n  var has = require('./_has');\n  var classof = require('./_classof');\n  var isObject = require('./_is-object');\n  var toObject = require('./_to-object');\n  var isArrayIter = require('./_is-array-iter');\n  var create = require('./_object-create');\n  var getPrototypeOf = require('./_object-gpo');\n  var gOPN = require('./_object-gopn').f;\n  var getIterFn = require('./core.get-iterator-method');\n  var uid = require('./_uid');\n  var wks = require('./_wks');\n  var createArrayMethod = require('./_array-methods');\n  var createArrayIncludes = require('./_array-includes');\n  var speciesConstructor = require('./_species-constructor');\n  var ArrayIterators = require('./es6.array.iterator');\n  var Iterators = require('./_iterators');\n  var $iterDetect = require('./_iter-detect');\n  var setSpecies = require('./_set-species');\n  var arrayFill = require('./_array-fill');\n  var arrayCopyWithin = require('./_array-copy-within');\n  var $DP = require('./_object-dp');\n  var $GOPD = require('./_object-gopd');\n  var dP = $DP.f;\n  var gOPD = $GOPD.f;\n  var RangeError = global.RangeError;\n  var TypeError = global.TypeError;\n  var Uint8Array = global.Uint8Array;\n  var ARRAY_BUFFER = 'ArrayBuffer';\n  var SHARED_BUFFER = 'Shared' + ARRAY_BUFFER;\n  var BYTES_PER_ELEMENT = 'BYTES_PER_ELEMENT';\n  var PROTOTYPE = 'prototype';\n  var ArrayProto = Array[PROTOTYPE];\n  var $ArrayBuffer = $buffer.ArrayBuffer;\n  var $DataView = $buffer.DataView;\n  var arrayForEach = createArrayMethod(0);\n  var arrayFilter = createArrayMethod(2);\n  var arraySome = createArrayMethod(3);\n  var arrayEvery = createArrayMethod(4);\n  var arrayFind = createArrayMethod(5);\n  var arrayFindIndex = createArrayMethod(6);\n  var arrayIncludes = createArrayIncludes(true);\n  var arrayIndexOf = createArrayIncludes(false);\n  var arrayValues = ArrayIterators.values;\n  var arrayKeys = ArrayIterators.keys;\n  var arrayEntries = ArrayIterators.entries;\n  var arrayLastIndexOf = ArrayProto.lastIndexOf;\n  var arrayReduce = ArrayProto.reduce;\n  var arrayReduceRight = ArrayProto.reduceRight;\n  var arrayJoin = ArrayProto.join;\n  var arraySort = ArrayProto.sort;\n  var arraySlice = ArrayProto.slice;\n  var arrayToString = ArrayProto.toString;\n  var arrayToLocaleString = ArrayProto.toLocaleString;\n  var ITERATOR = wks('iterator');\n  var TAG = wks('toStringTag');\n  var TYPED_CONSTRUCTOR = uid('typed_constructor');\n  var DEF_CONSTRUCTOR = uid('def_constructor');\n  var ALL_CONSTRUCTORS = $typed.CONSTR;\n  var TYPED_ARRAY = $typed.TYPED;\n  var VIEW = $typed.VIEW;\n  var WRONG_LENGTH = 'Wrong length!';\n\n  var $map = createArrayMethod(1, function (O, length) {\n    return allocate(speciesConstructor(O, O[DEF_CONSTRUCTOR]), length);\n  });\n\n  var LITTLE_ENDIAN = fails(function () {\n    // eslint-disable-next-line no-undef\n    return new Uint8Array(new Uint16Array([1]).buffer)[0] === 1;\n  });\n\n  var FORCED_SET = !!Uint8Array && !!Uint8Array[PROTOTYPE].set && fails(function () {\n    new Uint8Array(1).set({});\n  });\n\n  var toOffset = function (it, BYTES) {\n    var offset = toInteger(it);\n    if (offset < 0 || offset % BYTES) throw RangeError('Wrong offset!');\n    return offset;\n  };\n\n  var validate = function (it) {\n    if (isObject(it) && TYPED_ARRAY in it) return it;\n    throw TypeError(it + ' is not a typed array!');\n  };\n\n  var allocate = function (C, length) {\n    if (!(isObject(C) && TYPED_CONSTRUCTOR in C)) {\n      throw TypeError('It is not a typed array constructor!');\n    } return new C(length);\n  };\n\n  var speciesFromList = function (O, list) {\n    return fromList(speciesConstructor(O, O[DEF_CONSTRUCTOR]), list);\n  };\n\n  var fromList = function (C, list) {\n    var index = 0;\n    var length = list.length;\n    var result = allocate(C, length);\n    while (length > index) result[index] = list[index++];\n    return result;\n  };\n\n  var addGetter = function (it, key, internal) {\n    dP(it, key, { get: function () { return this._d[internal]; } });\n  };\n\n  var $from = function from(source /* , mapfn, thisArg */) {\n    var O = toObject(source);\n    var aLen = arguments.length;\n    var mapfn = aLen > 1 ? arguments[1] : undefined;\n    var mapping = mapfn !== undefined;\n    var iterFn = getIterFn(O);\n    var i, length, values, result, step, iterator;\n    if (iterFn != undefined && !isArrayIter(iterFn)) {\n      for (iterator = iterFn.call(O), values = [], i = 0; !(step = iterator.next()).done; i++) {\n        values.push(step.value);\n      } O = values;\n    }\n    if (mapping && aLen > 2) mapfn = ctx(mapfn, arguments[2], 2);\n    for (i = 0, length = toLength(O.length), result = allocate(this, length); length > i; i++) {\n      result[i] = mapping ? mapfn(O[i], i) : O[i];\n    }\n    return result;\n  };\n\n  var $of = function of(/* ...items */) {\n    var index = 0;\n    var length = arguments.length;\n    var result = allocate(this, length);\n    while (length > index) result[index] = arguments[index++];\n    return result;\n  };\n\n  // iOS Safari 6.x fails here\n  var TO_LOCALE_BUG = !!Uint8Array && fails(function () { arrayToLocaleString.call(new Uint8Array(1)); });\n\n  var $toLocaleString = function toLocaleString() {\n    return arrayToLocaleString.apply(TO_LOCALE_BUG ? arraySlice.call(validate(this)) : validate(this), arguments);\n  };\n\n  var proto = {\n    copyWithin: function copyWithin(target, start /* , end */) {\n      return arrayCopyWithin.call(validate(this), target, start, arguments.length > 2 ? arguments[2] : undefined);\n    },\n    every: function every(callbackfn /* , thisArg */) {\n      return arrayEvery(validate(this), callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    fill: function fill(value /* , start, end */) { // eslint-disable-line no-unused-vars\n      return arrayFill.apply(validate(this), arguments);\n    },\n    filter: function filter(callbackfn /* , thisArg */) {\n      return speciesFromList(this, arrayFilter(validate(this), callbackfn,\n        arguments.length > 1 ? arguments[1] : undefined));\n    },\n    find: function find(predicate /* , thisArg */) {\n      return arrayFind(validate(this), predicate, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    findIndex: function findIndex(predicate /* , thisArg */) {\n      return arrayFindIndex(validate(this), predicate, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    forEach: function forEach(callbackfn /* , thisArg */) {\n      arrayForEach(validate(this), callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    indexOf: function indexOf(searchElement /* , fromIndex */) {\n      return arrayIndexOf(validate(this), searchElement, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    includes: function includes(searchElement /* , fromIndex */) {\n      return arrayIncludes(validate(this), searchElement, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    join: function join(separator) { // eslint-disable-line no-unused-vars\n      return arrayJoin.apply(validate(this), arguments);\n    },\n    lastIndexOf: function lastIndexOf(searchElement /* , fromIndex */) { // eslint-disable-line no-unused-vars\n      return arrayLastIndexOf.apply(validate(this), arguments);\n    },\n    map: function map(mapfn /* , thisArg */) {\n      return $map(validate(this), mapfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    reduce: function reduce(callbackfn /* , initialValue */) { // eslint-disable-line no-unused-vars\n      return arrayReduce.apply(validate(this), arguments);\n    },\n    reduceRight: function reduceRight(callbackfn /* , initialValue */) { // eslint-disable-line no-unused-vars\n      return arrayReduceRight.apply(validate(this), arguments);\n    },\n    reverse: function reverse() {\n      var that = this;\n      var length = validate(that).length;\n      var middle = Math.floor(length / 2);\n      var index = 0;\n      var value;\n      while (index < middle) {\n        value = that[index];\n        that[index++] = that[--length];\n        that[length] = value;\n      } return that;\n    },\n    some: function some(callbackfn /* , thisArg */) {\n      return arraySome(validate(this), callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    sort: function sort(comparefn) {\n      return arraySort.call(validate(this), comparefn);\n    },\n    subarray: function subarray(begin, end) {\n      var O = validate(this);\n      var length = O.length;\n      var $begin = toAbsoluteIndex(begin, length);\n      return new (speciesConstructor(O, O[DEF_CONSTRUCTOR]))(\n        O.buffer,\n        O.byteOffset + $begin * O.BYTES_PER_ELEMENT,\n        toLength((end === undefined ? length : toAbsoluteIndex(end, length)) - $begin)\n      );\n    }\n  };\n\n  var $slice = function slice(start, end) {\n    return speciesFromList(this, arraySlice.call(validate(this), start, end));\n  };\n\n  var $set = function set(arrayLike /* , offset */) {\n    validate(this);\n    var offset = toOffset(arguments[1], 1);\n    var length = this.length;\n    var src = toObject(arrayLike);\n    var len = toLength(src.length);\n    var index = 0;\n    if (len + offset > length) throw RangeError(WRONG_LENGTH);\n    while (index < len) this[offset + index] = src[index++];\n  };\n\n  var $iterators = {\n    entries: function entries() {\n      return arrayEntries.call(validate(this));\n    },\n    keys: function keys() {\n      return arrayKeys.call(validate(this));\n    },\n    values: function values() {\n      return arrayValues.call(validate(this));\n    }\n  };\n\n  var isTAIndex = function (target, key) {\n    return isObject(target)\n      && target[TYPED_ARRAY]\n      && typeof key != 'symbol'\n      && key in target\n      && String(+key) == String(key);\n  };\n  var $getDesc = function getOwnPropertyDescriptor(target, key) {\n    return isTAIndex(target, key = toPrimitive(key, true))\n      ? propertyDesc(2, target[key])\n      : gOPD(target, key);\n  };\n  var $setDesc = function defineProperty(target, key, desc) {\n    if (isTAIndex(target, key = toPrimitive(key, true))\n      && isObject(desc)\n      && has(desc, 'value')\n      && !has(desc, 'get')\n      && !has(desc, 'set')\n      // TODO: add validation descriptor w/o calling accessors\n      && !desc.configurable\n      && (!has(desc, 'writable') || desc.writable)\n      && (!has(desc, 'enumerable') || desc.enumerable)\n    ) {\n      target[key] = desc.value;\n      return target;\n    } return dP(target, key, desc);\n  };\n\n  if (!ALL_CONSTRUCTORS) {\n    $GOPD.f = $getDesc;\n    $DP.f = $setDesc;\n  }\n\n  $export($export.S + $export.F * !ALL_CONSTRUCTORS, 'Object', {\n    getOwnPropertyDescriptor: $getDesc,\n    defineProperty: $setDesc\n  });\n\n  if (fails(function () { arrayToString.call({}); })) {\n    arrayToString = arrayToLocaleString = function toString() {\n      return arrayJoin.call(this);\n    };\n  }\n\n  var $TypedArrayPrototype$ = redefineAll({}, proto);\n  redefineAll($TypedArrayPrototype$, $iterators);\n  hide($TypedArrayPrototype$, ITERATOR, $iterators.values);\n  redefineAll($TypedArrayPrototype$, {\n    slice: $slice,\n    set: $set,\n    constructor: function () { /* noop */ },\n    toString: arrayToString,\n    toLocaleString: $toLocaleString\n  });\n  addGetter($TypedArrayPrototype$, 'buffer', 'b');\n  addGetter($TypedArrayPrototype$, 'byteOffset', 'o');\n  addGetter($TypedArrayPrototype$, 'byteLength', 'l');\n  addGetter($TypedArrayPrototype$, 'length', 'e');\n  dP($TypedArrayPrototype$, TAG, {\n    get: function () { return this[TYPED_ARRAY]; }\n  });\n\n  // eslint-disable-next-line max-statements\n  module.exports = function (KEY, BYTES, wrapper, CLAMPED) {\n    CLAMPED = !!CLAMPED;\n    var NAME = KEY + (CLAMPED ? 'Clamped' : '') + 'Array';\n    var GETTER = 'get' + KEY;\n    var SETTER = 'set' + KEY;\n    var TypedArray = global[NAME];\n    var Base = TypedArray || {};\n    var TAC = TypedArray && getPrototypeOf(TypedArray);\n    var FORCED = !TypedArray || !$typed.ABV;\n    var O = {};\n    var TypedArrayPrototype = TypedArray && TypedArray[PROTOTYPE];\n    var getter = function (that, index) {\n      var data = that._d;\n      return data.v[GETTER](index * BYTES + data.o, LITTLE_ENDIAN);\n    };\n    var setter = function (that, index, value) {\n      var data = that._d;\n      if (CLAMPED) value = (value = Math.round(value)) < 0 ? 0 : value > 0xff ? 0xff : value & 0xff;\n      data.v[SETTER](index * BYTES + data.o, value, LITTLE_ENDIAN);\n    };\n    var addElement = function (that, index) {\n      dP(that, index, {\n        get: function () {\n          return getter(this, index);\n        },\n        set: function (value) {\n          return setter(this, index, value);\n        },\n        enumerable: true\n      });\n    };\n    if (FORCED) {\n      TypedArray = wrapper(function (that, data, $offset, $length) {\n        anInstance(that, TypedArray, NAME, '_d');\n        var index = 0;\n        var offset = 0;\n        var buffer, byteLength, length, klass;\n        if (!isObject(data)) {\n          length = toIndex(data);\n          byteLength = length * BYTES;\n          buffer = new $ArrayBuffer(byteLength);\n        } else if (data instanceof $ArrayBuffer || (klass = classof(data)) == ARRAY_BUFFER || klass == SHARED_BUFFER) {\n          buffer = data;\n          offset = toOffset($offset, BYTES);\n          var $len = data.byteLength;\n          if ($length === undefined) {\n            if ($len % BYTES) throw RangeError(WRONG_LENGTH);\n            byteLength = $len - offset;\n            if (byteLength < 0) throw RangeError(WRONG_LENGTH);\n          } else {\n            byteLength = toLength($length) * BYTES;\n            if (byteLength + offset > $len) throw RangeError(WRONG_LENGTH);\n          }\n          length = byteLength / BYTES;\n        } else if (TYPED_ARRAY in data) {\n          return fromList(TypedArray, data);\n        } else {\n          return $from.call(TypedArray, data);\n        }\n        hide(that, '_d', {\n          b: buffer,\n          o: offset,\n          l: byteLength,\n          e: length,\n          v: new $DataView(buffer)\n        });\n        while (index < length) addElement(that, index++);\n      });\n      TypedArrayPrototype = TypedArray[PROTOTYPE] = create($TypedArrayPrototype$);\n      hide(TypedArrayPrototype, 'constructor', TypedArray);\n    } else if (!fails(function () {\n      TypedArray(1);\n    }) || !fails(function () {\n      new TypedArray(-1); // eslint-disable-line no-new\n    }) || !$iterDetect(function (iter) {\n      new TypedArray(); // eslint-disable-line no-new\n      new TypedArray(null); // eslint-disable-line no-new\n      new TypedArray(1.5); // eslint-disable-line no-new\n      new TypedArray(iter); // eslint-disable-line no-new\n    }, true)) {\n      TypedArray = wrapper(function (that, data, $offset, $length) {\n        anInstance(that, TypedArray, NAME);\n        var klass;\n        // `ws` module bug, temporarily remove validation length for Uint8Array\n        // https://github.com/websockets/ws/pull/645\n        if (!isObject(data)) return new Base(toIndex(data));\n        if (data instanceof $ArrayBuffer || (klass = classof(data)) == ARRAY_BUFFER || klass == SHARED_BUFFER) {\n          return $length !== undefined\n            ? new Base(data, toOffset($offset, BYTES), $length)\n            : $offset !== undefined\n              ? new Base(data, toOffset($offset, BYTES))\n              : new Base(data);\n        }\n        if (TYPED_ARRAY in data) return fromList(TypedArray, data);\n        return $from.call(TypedArray, data);\n      });\n      arrayForEach(TAC !== Function.prototype ? gOPN(Base).concat(gOPN(TAC)) : gOPN(Base), function (key) {\n        if (!(key in TypedArray)) hide(TypedArray, key, Base[key]);\n      });\n      TypedArray[PROTOTYPE] = TypedArrayPrototype;\n      if (!LIBRARY) TypedArrayPrototype.constructor = TypedArray;\n    }\n    var $nativeIterator = TypedArrayPrototype[ITERATOR];\n    var CORRECT_ITER_NAME = !!$nativeIterator\n      && ($nativeIterator.name == 'values' || $nativeIterator.name == undefined);\n    var $iterator = $iterators.values;\n    hide(TypedArray, TYPED_CONSTRUCTOR, true);\n    hide(TypedArrayPrototype, TYPED_ARRAY, NAME);\n    hide(TypedArrayPrototype, VIEW, true);\n    hide(TypedArrayPrototype, DEF_CONSTRUCTOR, TypedArray);\n\n    if (CLAMPED ? new TypedArray(1)[TAG] != NAME : !(TAG in TypedArrayPrototype)) {\n      dP(TypedArrayPrototype, TAG, {\n        get: function () { return NAME; }\n      });\n    }\n\n    O[NAME] = TypedArray;\n\n    $export($export.G + $export.W + $export.F * (TypedArray != Base), O);\n\n    $export($export.S, NAME, {\n      BYTES_PER_ELEMENT: BYTES\n    });\n\n    $export($export.S + $export.F * fails(function () { Base.of.call(TypedArray, 1); }), NAME, {\n      from: $from,\n      of: $of\n    });\n\n    if (!(BYTES_PER_ELEMENT in TypedArrayPrototype)) hide(TypedArrayPrototype, BYTES_PER_ELEMENT, BYTES);\n\n    $export($export.P, NAME, proto);\n\n    setSpecies(NAME);\n\n    $export($export.P + $export.F * FORCED_SET, NAME, { set: $set });\n\n    $export($export.P + $export.F * !CORRECT_ITER_NAME, NAME, $iterators);\n\n    if (!LIBRARY && TypedArrayPrototype.toString != arrayToString) TypedArrayPrototype.toString = arrayToString;\n\n    $export($export.P + $export.F * fails(function () {\n      new TypedArray(1).slice();\n    }), NAME, { slice: $slice });\n\n    $export($export.P + $export.F * (fails(function () {\n      return [1, 2].toLocaleString() != new TypedArray([1, 2]).toLocaleString();\n    }) || !fails(function () {\n      TypedArrayPrototype.toLocaleString.call([1, 2]);\n    })), NAME, { toLocaleString: $toLocaleString });\n\n    Iterators[NAME] = CORRECT_ITER_NAME ? $nativeIterator : $iterator;\n    if (!LIBRARY && !CORRECT_ITER_NAME) hide(TypedArrayPrototype, ITERATOR, $iterator);\n  };\n} else module.exports = function () { /* empty */ };\n","require('./_typed-array')('Int8', 1, function (init) {\n  return function Int8Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Uint8', 1, function (init) {\n  return function Uint8Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Uint8', 1, function (init) {\n  return function Uint8ClampedArray(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n}, true);\n","require('./_typed-array')('Int16', 2, function (init) {\n  return function Int16Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Uint16', 2, function (init) {\n  return function Uint16Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Int32', 4, function (init) {\n  return function Int32Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Uint32', 4, function (init) {\n  return function Uint32Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Float32', 4, function (init) {\n  return function Float32Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Float64', 8, function (init) {\n  return function Float64Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","// 26.1.1 Reflect.apply(target, thisArgument, argumentsList)\nvar $export = require('./_export');\nvar aFunction = require('./_a-function');\nvar anObject = require('./_an-object');\nvar rApply = (require('./_global').Reflect || {}).apply;\nvar fApply = Function.apply;\n// MS Edge argumentsList argument is optional\n$export($export.S + $export.F * !require('./_fails')(function () {\n  rApply(function () { /* empty */ });\n}), 'Reflect', {\n  apply: function apply(target, thisArgument, argumentsList) {\n    var T = aFunction(target);\n    var L = anObject(argumentsList);\n    return rApply ? rApply(T, thisArgument, L) : fApply.call(T, thisArgument, L);\n  }\n});\n","// 26.1.2 Reflect.construct(target, argumentsList [, newTarget])\nvar $export = require('./_export');\nvar create = require('./_object-create');\nvar aFunction = require('./_a-function');\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar fails = require('./_fails');\nvar bind = require('./_bind');\nvar rConstruct = (require('./_global').Reflect || {}).construct;\n\n// MS Edge supports only 2 arguments and argumentsList argument is optional\n// FF Nightly sets third argument as `new.target`, but does not create `this` from it\nvar NEW_TARGET_BUG = fails(function () {\n  function F() { /* empty */ }\n  return !(rConstruct(function () { /* empty */ }, [], F) instanceof F);\n});\nvar ARGS_BUG = !fails(function () {\n  rConstruct(function () { /* empty */ });\n});\n\n$export($export.S + $export.F * (NEW_TARGET_BUG || ARGS_BUG), 'Reflect', {\n  construct: function construct(Target, args /* , newTarget */) {\n    aFunction(Target);\n    anObject(args);\n    var newTarget = arguments.length < 3 ? Target : aFunction(arguments[2]);\n    if (ARGS_BUG && !NEW_TARGET_BUG) return rConstruct(Target, args, newTarget);\n    if (Target == newTarget) {\n      // w/o altered newTarget, optimization for 0-4 arguments\n      switch (args.length) {\n        case 0: return new Target();\n        case 1: return new Target(args[0]);\n        case 2: return new Target(args[0], args[1]);\n        case 3: return new Target(args[0], args[1], args[2]);\n        case 4: return new Target(args[0], args[1], args[2], args[3]);\n      }\n      // w/o altered newTarget, lot of arguments case\n      var $args = [null];\n      $args.push.apply($args, args);\n      return new (bind.apply(Target, $args))();\n    }\n    // with altered newTarget, not support built-in constructors\n    var proto = newTarget.prototype;\n    var instance = create(isObject(proto) ? proto : Object.prototype);\n    var result = Function.apply.call(Target, instance, args);\n    return isObject(result) ? result : instance;\n  }\n});\n","// 26.1.3 Reflect.defineProperty(target, propertyKey, attributes)\nvar dP = require('./_object-dp');\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar toPrimitive = require('./_to-primitive');\n\n// MS Edge has broken Reflect.defineProperty - throwing instead of returning false\n$export($export.S + $export.F * require('./_fails')(function () {\n  // eslint-disable-next-line no-undef\n  Reflect.defineProperty(dP.f({}, 1, { value: 1 }), 1, { value: 2 });\n}), 'Reflect', {\n  defineProperty: function defineProperty(target, propertyKey, attributes) {\n    anObject(target);\n    propertyKey = toPrimitive(propertyKey, true);\n    anObject(attributes);\n    try {\n      dP.f(target, propertyKey, attributes);\n      return true;\n    } catch (e) {\n      return false;\n    }\n  }\n});\n","// 26.1.4 Reflect.deleteProperty(target, propertyKey)\nvar $export = require('./_export');\nvar gOPD = require('./_object-gopd').f;\nvar anObject = require('./_an-object');\n\n$export($export.S, 'Reflect', {\n  deleteProperty: function deleteProperty(target, propertyKey) {\n    var desc = gOPD(anObject(target), propertyKey);\n    return desc && !desc.configurable ? false : delete target[propertyKey];\n  }\n});\n","'use strict';\n// 26.1.5 Reflect.enumerate(target)\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar Enumerate = function (iterated) {\n  this._t = anObject(iterated); // target\n  this._i = 0;                  // next index\n  var keys = this._k = [];      // keys\n  var key;\n  for (key in iterated) keys.push(key);\n};\nrequire('./_iter-create')(Enumerate, 'Object', function () {\n  var that = this;\n  var keys = that._k;\n  var key;\n  do {\n    if (that._i >= keys.length) return { value: undefined, done: true };\n  } while (!((key = keys[that._i++]) in that._t));\n  return { value: key, done: false };\n});\n\n$export($export.S, 'Reflect', {\n  enumerate: function enumerate(target) {\n    return new Enumerate(target);\n  }\n});\n","// 26.1.6 Reflect.get(target, propertyKey [, receiver])\nvar gOPD = require('./_object-gopd');\nvar getPrototypeOf = require('./_object-gpo');\nvar has = require('./_has');\nvar $export = require('./_export');\nvar isObject = require('./_is-object');\nvar anObject = require('./_an-object');\n\nfunction get(target, propertyKey /* , receiver */) {\n  var receiver = arguments.length < 3 ? target : arguments[2];\n  var desc, proto;\n  if (anObject(target) === receiver) return target[propertyKey];\n  if (desc = gOPD.f(target, propertyKey)) return has(desc, 'value')\n    ? desc.value\n    : desc.get !== undefined\n      ? desc.get.call(receiver)\n      : undefined;\n  if (isObject(proto = getPrototypeOf(target))) return get(proto, propertyKey, receiver);\n}\n\n$export($export.S, 'Reflect', { get: get });\n","// 26.1.7 Reflect.getOwnPropertyDescriptor(target, propertyKey)\nvar gOPD = require('./_object-gopd');\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\n\n$export($export.S, 'Reflect', {\n  getOwnPropertyDescriptor: function getOwnPropertyDescriptor(target, propertyKey) {\n    return gOPD.f(anObject(target), propertyKey);\n  }\n});\n","// 26.1.8 Reflect.getPrototypeOf(target)\nvar $export = require('./_export');\nvar getProto = require('./_object-gpo');\nvar anObject = require('./_an-object');\n\n$export($export.S, 'Reflect', {\n  getPrototypeOf: function getPrototypeOf(target) {\n    return getProto(anObject(target));\n  }\n});\n","// 26.1.9 Reflect.has(target, propertyKey)\nvar $export = require('./_export');\n\n$export($export.S, 'Reflect', {\n  has: function has(target, propertyKey) {\n    return propertyKey in target;\n  }\n});\n","// 26.1.10 Reflect.isExtensible(target)\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar $isExtensible = Object.isExtensible;\n\n$export($export.S, 'Reflect', {\n  isExtensible: function isExtensible(target) {\n    anObject(target);\n    return $isExtensible ? $isExtensible(target) : true;\n  }\n});\n","// all object keys, includes non-enumerable and symbols\nvar gOPN = require('./_object-gopn');\nvar gOPS = require('./_object-gops');\nvar anObject = require('./_an-object');\nvar Reflect = require('./_global').Reflect;\nmodule.exports = Reflect && Reflect.ownKeys || function ownKeys(it) {\n  var keys = gOPN.f(anObject(it));\n  var getSymbols = gOPS.f;\n  return getSymbols ? keys.concat(getSymbols(it)) : keys;\n};\n","// 26.1.11 Reflect.ownKeys(target)\nvar $export = require('./_export');\n\n$export($export.S, 'Reflect', { ownKeys: require('./_own-keys') });\n","// 26.1.12 Reflect.preventExtensions(target)\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar $preventExtensions = Object.preventExtensions;\n\n$export($export.S, 'Reflect', {\n  preventExtensions: function preventExtensions(target) {\n    anObject(target);\n    try {\n      if ($preventExtensions) $preventExtensions(target);\n      return true;\n    } catch (e) {\n      return false;\n    }\n  }\n});\n","// 26.1.13 Reflect.set(target, propertyKey, V [, receiver])\nvar dP = require('./_object-dp');\nvar gOPD = require('./_object-gopd');\nvar getPrototypeOf = require('./_object-gpo');\nvar has = require('./_has');\nvar $export = require('./_export');\nvar createDesc = require('./_property-desc');\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\n\nfunction set(target, propertyKey, V /* , receiver */) {\n  var receiver = arguments.length < 4 ? target : arguments[3];\n  var ownDesc = gOPD.f(anObject(target), propertyKey);\n  var existingDescriptor, proto;\n  if (!ownDesc) {\n    if (isObject(proto = getPrototypeOf(target))) {\n      return set(proto, propertyKey, V, receiver);\n    }\n    ownDesc = createDesc(0);\n  }\n  if (has(ownDesc, 'value')) {\n    if (ownDesc.writable === false || !isObject(receiver)) return false;\n    if (existingDescriptor = gOPD.f(receiver, propertyKey)) {\n      if (existingDescriptor.get || existingDescriptor.set || existingDescriptor.writable === false) return false;\n      existingDescriptor.value = V;\n      dP.f(receiver, propertyKey, existingDescriptor);\n    } else dP.f(receiver, propertyKey, createDesc(0, V));\n    return true;\n  }\n  return ownDesc.set === undefined ? false : (ownDesc.set.call(receiver, V), true);\n}\n\n$export($export.S, 'Reflect', { set: set });\n","// 26.1.14 Reflect.setPrototypeOf(target, proto)\nvar $export = require('./_export');\nvar setProto = require('./_set-proto');\n\nif (setProto) $export($export.S, 'Reflect', {\n  setPrototypeOf: function setPrototypeOf(target, proto) {\n    setProto.check(target, proto);\n    try {\n      setProto.set(target, proto);\n      return true;\n    } catch (e) {\n      return false;\n    }\n  }\n});\n","'use strict';\n// https://github.com/tc39/Array.prototype.includes\nvar $export = require('./_export');\nvar $includes = require('./_array-includes')(true);\n\n$export($export.P, 'Array', {\n  includes: function includes(el /* , fromIndex = 0 */) {\n    return $includes(this, el, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\n\nrequire('./_add-to-unscopables')('includes');\n","'use strict';\n// https://tc39.github.io/proposal-flatMap/#sec-FlattenIntoArray\nvar isArray = require('./_is-array');\nvar isObject = require('./_is-object');\nvar toLength = require('./_to-length');\nvar ctx = require('./_ctx');\nvar IS_CONCAT_SPREADABLE = require('./_wks')('isConcatSpreadable');\n\nfunction flattenIntoArray(target, original, source, sourceLen, start, depth, mapper, thisArg) {\n  var targetIndex = start;\n  var sourceIndex = 0;\n  var mapFn = mapper ? ctx(mapper, thisArg, 3) : false;\n  var element, spreadable;\n\n  while (sourceIndex < sourceLen) {\n    if (sourceIndex in source) {\n      element = mapFn ? mapFn(source[sourceIndex], sourceIndex, original) : source[sourceIndex];\n\n      spreadable = false;\n      if (isObject(element)) {\n        spreadable = element[IS_CONCAT_SPREADABLE];\n        spreadable = spreadable !== undefined ? !!spreadable : isArray(element);\n      }\n\n      if (spreadable && depth > 0) {\n        targetIndex = flattenIntoArray(target, original, element, toLength(element.length), targetIndex, depth - 1) - 1;\n      } else {\n        if (targetIndex >= 0x1fffffffffffff) throw TypeError();\n        target[targetIndex] = element;\n      }\n\n      targetIndex++;\n    }\n    sourceIndex++;\n  }\n  return targetIndex;\n}\n\nmodule.exports = flattenIntoArray;\n","'use strict';\n// https://tc39.github.io/proposal-flatMap/#sec-Array.prototype.flatMap\nvar $export = require('./_export');\nvar flattenIntoArray = require('./_flatten-into-array');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar aFunction = require('./_a-function');\nvar arraySpeciesCreate = require('./_array-species-create');\n\n$export($export.P, 'Array', {\n  flatMap: function flatMap(callbackfn /* , thisArg */) {\n    var O = toObject(this);\n    var sourceLen, A;\n    aFunction(callbackfn);\n    sourceLen = toLength(O.length);\n    A = arraySpeciesCreate(O, 0);\n    flattenIntoArray(A, O, O, sourceLen, 0, 1, callbackfn, arguments[1]);\n    return A;\n  }\n});\n\nrequire('./_add-to-unscopables')('flatMap');\n","'use strict';\n// https://tc39.github.io/proposal-flatMap/#sec-Array.prototype.flatten\nvar $export = require('./_export');\nvar flattenIntoArray = require('./_flatten-into-array');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar toInteger = require('./_to-integer');\nvar arraySpeciesCreate = require('./_array-species-create');\n\n$export($export.P, 'Array', {\n  flatten: function flatten(/* depthArg = 1 */) {\n    var depthArg = arguments[0];\n    var O = toObject(this);\n    var sourceLen = toLength(O.length);\n    var A = arraySpeciesCreate(O, 0);\n    flattenIntoArray(A, O, O, sourceLen, 0, depthArg === undefined ? 1 : toInteger(depthArg));\n    return A;\n  }\n});\n\nrequire('./_add-to-unscopables')('flatten');\n","'use strict';\n// https://github.com/mathiasbynens/String.prototype.at\nvar $export = require('./_export');\nvar $at = require('./_string-at')(true);\n\n$export($export.P, 'String', {\n  at: function at(pos) {\n    return $at(this, pos);\n  }\n});\n","// https://github.com/tc39/proposal-string-pad-start-end\nvar toLength = require('./_to-length');\nvar repeat = require('./_string-repeat');\nvar defined = require('./_defined');\n\nmodule.exports = function (that, maxLength, fillString, left) {\n  var S = String(defined(that));\n  var stringLength = S.length;\n  var fillStr = fillString === undefined ? ' ' : String(fillString);\n  var intMaxLength = toLength(maxLength);\n  if (intMaxLength <= stringLength || fillStr == '') return S;\n  var fillLen = intMaxLength - stringLength;\n  var stringFiller = repeat.call(fillStr, Math.ceil(fillLen / fillStr.length));\n  if (stringFiller.length > fillLen) stringFiller = stringFiller.slice(0, fillLen);\n  return left ? stringFiller + S : S + stringFiller;\n};\n","'use strict';\n// https://github.com/tc39/proposal-string-pad-start-end\nvar $export = require('./_export');\nvar $pad = require('./_string-pad');\nvar userAgent = require('./_user-agent');\n\n// https://github.com/zloirock/core-js/issues/280\nvar WEBKIT_BUG = /Version\\/10\\.\\d+(\\.\\d+)?( Mobile\\/\\w+)? Safari\\//.test(userAgent);\n\n$export($export.P + $export.F * WEBKIT_BUG, 'String', {\n  padStart: function padStart(maxLength /* , fillString = ' ' */) {\n    return $pad(this, maxLength, arguments.length > 1 ? arguments[1] : undefined, true);\n  }\n});\n","'use strict';\n// https://github.com/tc39/proposal-string-pad-start-end\nvar $export = require('./_export');\nvar $pad = require('./_string-pad');\nvar userAgent = require('./_user-agent');\n\n// https://github.com/zloirock/core-js/issues/280\nvar WEBKIT_BUG = /Version\\/10\\.\\d+(\\.\\d+)?( Mobile\\/\\w+)? Safari\\//.test(userAgent);\n\n$export($export.P + $export.F * WEBKIT_BUG, 'String', {\n  padEnd: function padEnd(maxLength /* , fillString = ' ' */) {\n    return $pad(this, maxLength, arguments.length > 1 ? arguments[1] : undefined, false);\n  }\n});\n","'use strict';\n// https://github.com/sebmarkbage/ecmascript-string-left-right-trim\nrequire('./_string-trim')('trimLeft', function ($trim) {\n  return function trimLeft() {\n    return $trim(this, 1);\n  };\n}, 'trimStart');\n","'use strict';\n// https://github.com/sebmarkbage/ecmascript-string-left-right-trim\nrequire('./_string-trim')('trimRight', function ($trim) {\n  return function trimRight() {\n    return $trim(this, 2);\n  };\n}, 'trimEnd');\n","'use strict';\n// https://tc39.github.io/String.prototype.matchAll/\nvar $export = require('./_export');\nvar defined = require('./_defined');\nvar toLength = require('./_to-length');\nvar isRegExp = require('./_is-regexp');\nvar getFlags = require('./_flags');\nvar RegExpProto = RegExp.prototype;\n\nvar $RegExpStringIterator = function (regexp, string) {\n  this._r = regexp;\n  this._s = string;\n};\n\nrequire('./_iter-create')($RegExpStringIterator, 'RegExp String', function next() {\n  var match = this._r.exec(this._s);\n  return { value: match, done: match === null };\n});\n\n$export($export.P, 'String', {\n  matchAll: function matchAll(regexp) {\n    defined(this);\n    if (!isRegExp(regexp)) throw TypeError(regexp + ' is not a regexp!');\n    var S = String(this);\n    var flags = 'flags' in RegExpProto ? String(regexp.flags) : getFlags.call(regexp);\n    var rx = new RegExp(regexp.source, ~flags.indexOf('g') ? flags : 'g' + flags);\n    rx.lastIndex = toLength(regexp.lastIndex);\n    return new $RegExpStringIterator(rx, S);\n  }\n});\n","require('./_wks-define')('asyncIterator');\n","require('./_wks-define')('observable');\n","// https://github.com/tc39/proposal-object-getownpropertydescriptors\nvar $export = require('./_export');\nvar ownKeys = require('./_own-keys');\nvar toIObject = require('./_to-iobject');\nvar gOPD = require('./_object-gopd');\nvar createProperty = require('./_create-property');\n\n$export($export.S, 'Object', {\n  getOwnPropertyDescriptors: function getOwnPropertyDescriptors(object) {\n    var O = toIObject(object);\n    var getDesc = gOPD.f;\n    var keys = ownKeys(O);\n    var result = {};\n    var i = 0;\n    var key, desc;\n    while (keys.length > i) {\n      desc = getDesc(O, key = keys[i++]);\n      if (desc !== undefined) createProperty(result, key, desc);\n    }\n    return result;\n  }\n});\n","var DESCRIPTORS = require('./_descriptors');\nvar getKeys = require('./_object-keys');\nvar toIObject = require('./_to-iobject');\nvar isEnum = require('./_object-pie').f;\nmodule.exports = function (isEntries) {\n  return function (it) {\n    var O = toIObject(it);\n    var keys = getKeys(O);\n    var length = keys.length;\n    var i = 0;\n    var result = [];\n    var key;\n    while (length > i) {\n      key = keys[i++];\n      if (!DESCRIPTORS || isEnum.call(O, key)) {\n        result.push(isEntries ? [key, O[key]] : O[key]);\n      }\n    }\n    return result;\n  };\n};\n","// https://github.com/tc39/proposal-object-values-entries\nvar $export = require('./_export');\nvar $values = require('./_object-to-array')(false);\n\n$export($export.S, 'Object', {\n  values: function values(it) {\n    return $values(it);\n  }\n});\n","// https://github.com/tc39/proposal-object-values-entries\nvar $export = require('./_export');\nvar $entries = require('./_object-to-array')(true);\n\n$export($export.S, 'Object', {\n  entries: function entries(it) {\n    return $entries(it);\n  }\n});\n","'use strict';\n// Forced replacement prototype accessors methods\nmodule.exports = require('./_library') || !require('./_fails')(function () {\n  var K = Math.random();\n  // In FF throws only define methods\n  // eslint-disable-next-line no-undef, no-useless-call\n  __defineSetter__.call(null, K, function () { /* empty */ });\n  delete require('./_global')[K];\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar aFunction = require('./_a-function');\nvar $defineProperty = require('./_object-dp');\n\n// B.2.2.2 Object.prototype.__defineGetter__(P, getter)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __defineGetter__: function __defineGetter__(P, getter) {\n    $defineProperty.f(toObject(this), P, { get: aFunction(getter), enumerable: true, configurable: true });\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar aFunction = require('./_a-function');\nvar $defineProperty = require('./_object-dp');\n\n// B.2.2.3 Object.prototype.__defineSetter__(P, setter)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __defineSetter__: function __defineSetter__(P, setter) {\n    $defineProperty.f(toObject(this), P, { set: aFunction(setter), enumerable: true, configurable: true });\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar toPrimitive = require('./_to-primitive');\nvar getPrototypeOf = require('./_object-gpo');\nvar getOwnPropertyDescriptor = require('./_object-gopd').f;\n\n// B.2.2.4 Object.prototype.__lookupGetter__(P)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __lookupGetter__: function __lookupGetter__(P) {\n    var O = toObject(this);\n    var K = toPrimitive(P, true);\n    var D;\n    do {\n      if (D = getOwnPropertyDescriptor(O, K)) return D.get;\n    } while (O = getPrototypeOf(O));\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar toPrimitive = require('./_to-primitive');\nvar getPrototypeOf = require('./_object-gpo');\nvar getOwnPropertyDescriptor = require('./_object-gopd').f;\n\n// B.2.2.5 Object.prototype.__lookupSetter__(P)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __lookupSetter__: function __lookupSetter__(P) {\n    var O = toObject(this);\n    var K = toPrimitive(P, true);\n    var D;\n    do {\n      if (D = getOwnPropertyDescriptor(O, K)) return D.set;\n    } while (O = getPrototypeOf(O));\n  }\n});\n","var forOf = require('./_for-of');\n\nmodule.exports = function (iter, ITERATOR) {\n  var result = [];\n  forOf(iter, false, result.push, result, ITERATOR);\n  return result;\n};\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar classof = require('./_classof');\nvar from = require('./_array-from-iterable');\nmodule.exports = function (NAME) {\n  return function toJSON() {\n    if (classof(this) != NAME) throw TypeError(NAME + \"#toJSON isn't generic\");\n    return from(this);\n  };\n};\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar $export = require('./_export');\n\n$export($export.P + $export.R, 'Map', { toJSON: require('./_collection-to-json')('Map') });\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar $export = require('./_export');\n\n$export($export.P + $export.R, 'Set', { toJSON: require('./_collection-to-json')('Set') });\n","'use strict';\n// https://tc39.github.io/proposal-setmap-offrom/\nvar $export = require('./_export');\n\nmodule.exports = function (COLLECTION) {\n  $export($export.S, COLLECTION, { of: function of() {\n    var length = arguments.length;\n    var A = new Array(length);\n    while (length--) A[length] = arguments[length];\n    return new this(A);\n  } });\n};\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-map.of\nrequire('./_set-collection-of')('Map');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-set.of\nrequire('./_set-collection-of')('Set');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakmap.of\nrequire('./_set-collection-of')('WeakMap');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakset.of\nrequire('./_set-collection-of')('WeakSet');\n","'use strict';\n// https://tc39.github.io/proposal-setmap-offrom/\nvar $export = require('./_export');\nvar aFunction = require('./_a-function');\nvar ctx = require('./_ctx');\nvar forOf = require('./_for-of');\n\nmodule.exports = function (COLLECTION) {\n  $export($export.S, COLLECTION, { from: function from(source /* , mapFn, thisArg */) {\n    var mapFn = arguments[1];\n    var mapping, A, n, cb;\n    aFunction(this);\n    mapping = mapFn !== undefined;\n    if (mapping) aFunction(mapFn);\n    if (source == undefined) return new this();\n    A = [];\n    if (mapping) {\n      n = 0;\n      cb = ctx(mapFn, arguments[2], 2);\n      forOf(source, false, function (nextItem) {\n        A.push(cb(nextItem, n++));\n      });\n    } else {\n      forOf(source, false, A.push, A);\n    }\n    return new this(A);\n  } });\n};\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-map.from\nrequire('./_set-collection-from')('Map');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-set.from\nrequire('./_set-collection-from')('Set');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakmap.from\nrequire('./_set-collection-from')('WeakMap');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakset.from\nrequire('./_set-collection-from')('WeakSet');\n","// https://github.com/tc39/proposal-global\nvar $export = require('./_export');\n\n$export($export.G, { global: require('./_global') });\n","// https://github.com/tc39/proposal-global\nvar $export = require('./_export');\n\n$export($export.S, 'System', { global: require('./_global') });\n","// https://github.com/ljharb/proposal-is-error\nvar $export = require('./_export');\nvar cof = require('./_cof');\n\n$export($export.S, 'Error', {\n  isError: function isError(it) {\n    return cof(it) === 'Error';\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  clamp: function clamp(x, lower, upper) {\n    return Math.min(upper, Math.max(lower, x));\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { DEG_PER_RAD: Math.PI / 180 });\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\nvar RAD_PER_DEG = 180 / Math.PI;\n\n$export($export.S, 'Math', {\n  degrees: function degrees(radians) {\n    return radians * RAD_PER_DEG;\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nmodule.exports = Math.scale || function scale(x, inLow, inHigh, outLow, outHigh) {\n  if (\n    arguments.length === 0\n      // eslint-disable-next-line no-self-compare\n      || x != x\n      // eslint-disable-next-line no-self-compare\n      || inLow != inLow\n      // eslint-disable-next-line no-self-compare\n      || inHigh != inHigh\n      // eslint-disable-next-line no-self-compare\n      || outLow != outLow\n      // eslint-disable-next-line no-self-compare\n      || outHigh != outHigh\n  ) return NaN;\n  if (x === Infinity || x === -Infinity) return x;\n  return (x - inLow) * (outHigh - outLow) / (inHigh - inLow) + outLow;\n};\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\nvar scale = require('./_math-scale');\nvar fround = require('./_math-fround');\n\n$export($export.S, 'Math', {\n  fscale: function fscale(x, inLow, inHigh, outLow, outHigh) {\n    return fround(scale(x, inLow, inHigh, outLow, outHigh));\n  }\n});\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  iaddh: function iaddh(x0, x1, y0, y1) {\n    var $x0 = x0 >>> 0;\n    var $x1 = x1 >>> 0;\n    var $y0 = y0 >>> 0;\n    return $x1 + (y1 >>> 0) + (($x0 & $y0 | ($x0 | $y0) & ~($x0 + $y0 >>> 0)) >>> 31) | 0;\n  }\n});\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  isubh: function isubh(x0, x1, y0, y1) {\n    var $x0 = x0 >>> 0;\n    var $x1 = x1 >>> 0;\n    var $y0 = y0 >>> 0;\n    return $x1 - (y1 >>> 0) - ((~$x0 & $y0 | ~($x0 ^ $y0) & $x0 - $y0 >>> 0) >>> 31) | 0;\n  }\n});\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  imulh: function imulh(u, v) {\n    var UINT16 = 0xffff;\n    var $u = +u;\n    var $v = +v;\n    var u0 = $u & UINT16;\n    var v0 = $v & UINT16;\n    var u1 = $u >> 16;\n    var v1 = $v >> 16;\n    var t = (u1 * v0 >>> 0) + (u0 * v0 >>> 16);\n    return u1 * v1 + (t >> 16) + ((u0 * v1 >>> 0) + (t & UINT16) >> 16);\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { RAD_PER_DEG: 180 / Math.PI });\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\nvar DEG_PER_RAD = Math.PI / 180;\n\n$export($export.S, 'Math', {\n  radians: function radians(degrees) {\n    return degrees * DEG_PER_RAD;\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { scale: require('./_math-scale') });\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  umulh: function umulh(u, v) {\n    var UINT16 = 0xffff;\n    var $u = +u;\n    var $v = +v;\n    var u0 = $u & UINT16;\n    var v0 = $v & UINT16;\n    var u1 = $u >>> 16;\n    var v1 = $v >>> 16;\n    var t = (u1 * v0 >>> 0) + (u0 * v0 >>> 16);\n    return u1 * v1 + (t >>> 16) + ((u0 * v1 >>> 0) + (t & UINT16) >>> 16);\n  }\n});\n","// http://jfbastien.github.io/papers/Math.signbit.html\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { signbit: function signbit(x) {\n  // eslint-disable-next-line no-self-compare\n  return (x = +x) != x ? x : x == 0 ? 1 / x == Infinity : x > 0;\n} });\n","// https://github.com/tc39/proposal-promise-finally\n'use strict';\nvar $export = require('./_export');\nvar core = require('./_core');\nvar global = require('./_global');\nvar speciesConstructor = require('./_species-constructor');\nvar promiseResolve = require('./_promise-resolve');\n\n$export($export.P + $export.R, 'Promise', { 'finally': function (onFinally) {\n  var C = speciesConstructor(this, core.Promise || global.Promise);\n  var isFunction = typeof onFinally == 'function';\n  return this.then(\n    isFunction ? function (x) {\n      return promiseResolve(C, onFinally()).then(function () { return x; });\n    } : onFinally,\n    isFunction ? function (e) {\n      return promiseResolve(C, onFinally()).then(function () { throw e; });\n    } : onFinally\n  );\n} });\n","'use strict';\n// https://github.com/tc39/proposal-promise-try\nvar $export = require('./_export');\nvar newPromiseCapability = require('./_new-promise-capability');\nvar perform = require('./_perform');\n\n$export($export.S, 'Promise', { 'try': function (callbackfn) {\n  var promiseCapability = newPromiseCapability.f(this);\n  var result = perform(callbackfn);\n  (result.e ? promiseCapability.reject : promiseCapability.resolve)(result.v);\n  return promiseCapability.promise;\n} });\n","var Map = require('./es6.map');\nvar $export = require('./_export');\nvar shared = require('./_shared')('metadata');\nvar store = shared.store || (shared.store = new (require('./es6.weak-map'))());\n\nvar getOrCreateMetadataMap = function (target, targetKey, create) {\n  var targetMetadata = store.get(target);\n  if (!targetMetadata) {\n    if (!create) return undefined;\n    store.set(target, targetMetadata = new Map());\n  }\n  var keyMetadata = targetMetadata.get(targetKey);\n  if (!keyMetadata) {\n    if (!create) return undefined;\n    targetMetadata.set(targetKey, keyMetadata = new Map());\n  } return keyMetadata;\n};\nvar ordinaryHasOwnMetadata = function (MetadataKey, O, P) {\n  var metadataMap = getOrCreateMetadataMap(O, P, false);\n  return metadataMap === undefined ? false : metadataMap.has(MetadataKey);\n};\nvar ordinaryGetOwnMetadata = function (MetadataKey, O, P) {\n  var metadataMap = getOrCreateMetadataMap(O, P, false);\n  return metadataMap === undefined ? undefined : metadataMap.get(MetadataKey);\n};\nvar ordinaryDefineOwnMetadata = function (MetadataKey, MetadataValue, O, P) {\n  getOrCreateMetadataMap(O, P, true).set(MetadataKey, MetadataValue);\n};\nvar ordinaryOwnMetadataKeys = function (target, targetKey) {\n  var metadataMap = getOrCreateMetadataMap(target, targetKey, false);\n  var keys = [];\n  if (metadataMap) metadataMap.forEach(function (_, key) { keys.push(key); });\n  return keys;\n};\nvar toMetaKey = function (it) {\n  return it === undefined || typeof it == 'symbol' ? it : String(it);\n};\nvar exp = function (O) {\n  $export($export.S, 'Reflect', O);\n};\n\nmodule.exports = {\n  store: store,\n  map: getOrCreateMetadataMap,\n  has: ordinaryHasOwnMetadata,\n  get: ordinaryGetOwnMetadata,\n  set: ordinaryDefineOwnMetadata,\n  keys: ordinaryOwnMetadataKeys,\n  key: toMetaKey,\n  exp: exp\n};\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar toMetaKey = metadata.key;\nvar ordinaryDefineOwnMetadata = metadata.set;\n\nmetadata.exp({ defineMetadata: function defineMetadata(metadataKey, metadataValue, target, targetKey) {\n  ordinaryDefineOwnMetadata(metadataKey, metadataValue, anObject(target), toMetaKey(targetKey));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar toMetaKey = metadata.key;\nvar getOrCreateMetadataMap = metadata.map;\nvar store = metadata.store;\n\nmetadata.exp({ deleteMetadata: function deleteMetadata(metadataKey, target /* , targetKey */) {\n  var targetKey = arguments.length < 3 ? undefined : toMetaKey(arguments[2]);\n  var metadataMap = getOrCreateMetadataMap(anObject(target), targetKey, false);\n  if (metadataMap === undefined || !metadataMap['delete'](metadataKey)) return false;\n  if (metadataMap.size) return true;\n  var targetMetadata = store.get(target);\n  targetMetadata['delete'](targetKey);\n  return !!targetMetadata.size || store['delete'](target);\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar ordinaryHasOwnMetadata = metadata.has;\nvar ordinaryGetOwnMetadata = metadata.get;\nvar toMetaKey = metadata.key;\n\nvar ordinaryGetMetadata = function (MetadataKey, O, P) {\n  var hasOwn = ordinaryHasOwnMetadata(MetadataKey, O, P);\n  if (hasOwn) return ordinaryGetOwnMetadata(MetadataKey, O, P);\n  var parent = getPrototypeOf(O);\n  return parent !== null ? ordinaryGetMetadata(MetadataKey, parent, P) : undefined;\n};\n\nmetadata.exp({ getMetadata: function getMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryGetMetadata(metadataKey, anObject(target), arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var Set = require('./es6.set');\nvar from = require('./_array-from-iterable');\nvar metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar ordinaryOwnMetadataKeys = metadata.keys;\nvar toMetaKey = metadata.key;\n\nvar ordinaryMetadataKeys = function (O, P) {\n  var oKeys = ordinaryOwnMetadataKeys(O, P);\n  var parent = getPrototypeOf(O);\n  if (parent === null) return oKeys;\n  var pKeys = ordinaryMetadataKeys(parent, P);\n  return pKeys.length ? oKeys.length ? from(new Set(oKeys.concat(pKeys))) : pKeys : oKeys;\n};\n\nmetadata.exp({ getMetadataKeys: function getMetadataKeys(target /* , targetKey */) {\n  return ordinaryMetadataKeys(anObject(target), arguments.length < 2 ? undefined : toMetaKey(arguments[1]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar ordinaryGetOwnMetadata = metadata.get;\nvar toMetaKey = metadata.key;\n\nmetadata.exp({ getOwnMetadata: function getOwnMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryGetOwnMetadata(metadataKey, anObject(target)\n    , arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar ordinaryOwnMetadataKeys = metadata.keys;\nvar toMetaKey = metadata.key;\n\nmetadata.exp({ getOwnMetadataKeys: function getOwnMetadataKeys(target /* , targetKey */) {\n  return ordinaryOwnMetadataKeys(anObject(target), arguments.length < 2 ? undefined : toMetaKey(arguments[1]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar ordinaryHasOwnMetadata = metadata.has;\nvar toMetaKey = metadata.key;\n\nvar ordinaryHasMetadata = function (MetadataKey, O, P) {\n  var hasOwn = ordinaryHasOwnMetadata(MetadataKey, O, P);\n  if (hasOwn) return true;\n  var parent = getPrototypeOf(O);\n  return parent !== null ? ordinaryHasMetadata(MetadataKey, parent, P) : false;\n};\n\nmetadata.exp({ hasMetadata: function hasMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryHasMetadata(metadataKey, anObject(target), arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar ordinaryHasOwnMetadata = metadata.has;\nvar toMetaKey = metadata.key;\n\nmetadata.exp({ hasOwnMetadata: function hasOwnMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryHasOwnMetadata(metadataKey, anObject(target)\n    , arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var $metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar aFunction = require('./_a-function');\nvar toMetaKey = $metadata.key;\nvar ordinaryDefineOwnMetadata = $metadata.set;\n\n$metadata.exp({ metadata: function metadata(metadataKey, metadataValue) {\n  return function decorator(target, targetKey) {\n    ordinaryDefineOwnMetadata(\n      metadataKey, metadataValue,\n      (targetKey !== undefined ? anObject : aFunction)(target),\n      toMetaKey(targetKey)\n    );\n  };\n} });\n","// https://github.com/rwaldron/tc39-notes/blob/master/es6/2014-09/sept-25.md#510-globalasap-for-enqueuing-a-microtask\nvar $export = require('./_export');\nvar microtask = require('./_microtask')();\nvar process = require('./_global').process;\nvar isNode = require('./_cof')(process) == 'process';\n\n$export($export.G, {\n  asap: function asap(fn) {\n    var domain = isNode && process.domain;\n    microtask(domain ? domain.bind(fn) : fn);\n  }\n});\n","'use strict';\n// https://github.com/zenparsing/es-observable\nvar $export = require('./_export');\nvar global = require('./_global');\nvar core = require('./_core');\nvar microtask = require('./_microtask')();\nvar OBSERVABLE = require('./_wks')('observable');\nvar aFunction = require('./_a-function');\nvar anObject = require('./_an-object');\nvar anInstance = require('./_an-instance');\nvar redefineAll = require('./_redefine-all');\nvar hide = require('./_hide');\nvar forOf = require('./_for-of');\nvar RETURN = forOf.RETURN;\n\nvar getMethod = function (fn) {\n  return fn == null ? undefined : aFunction(fn);\n};\n\nvar cleanupSubscription = function (subscription) {\n  var cleanup = subscription._c;\n  if (cleanup) {\n    subscription._c = undefined;\n    cleanup();\n  }\n};\n\nvar subscriptionClosed = function (subscription) {\n  return subscription._o === undefined;\n};\n\nvar closeSubscription = function (subscription) {\n  if (!subscriptionClosed(subscription)) {\n    subscription._o = undefined;\n    cleanupSubscription(subscription);\n  }\n};\n\nvar Subscription = function (observer, subscriber) {\n  anObject(observer);\n  this._c = undefined;\n  this._o = observer;\n  observer = new SubscriptionObserver(this);\n  try {\n    var cleanup = subscriber(observer);\n    var subscription = cleanup;\n    if (cleanup != null) {\n      if (typeof cleanup.unsubscribe === 'function') cleanup = function () { subscription.unsubscribe(); };\n      else aFunction(cleanup);\n      this._c = cleanup;\n    }\n  } catch (e) {\n    observer.error(e);\n    return;\n  } if (subscriptionClosed(this)) cleanupSubscription(this);\n};\n\nSubscription.prototype = redefineAll({}, {\n  unsubscribe: function unsubscribe() { closeSubscription(this); }\n});\n\nvar SubscriptionObserver = function (subscription) {\n  this._s = subscription;\n};\n\nSubscriptionObserver.prototype = redefineAll({}, {\n  next: function next(value) {\n    var subscription = this._s;\n    if (!subscriptionClosed(subscription)) {\n      var observer = subscription._o;\n      try {\n        var m = getMethod(observer.next);\n        if (m) return m.call(observer, value);\n      } catch (e) {\n        try {\n          closeSubscription(subscription);\n        } finally {\n          throw e;\n        }\n      }\n    }\n  },\n  error: function error(value) {\n    var subscription = this._s;\n    if (subscriptionClosed(subscription)) throw value;\n    var observer = subscription._o;\n    subscription._o = undefined;\n    try {\n      var m = getMethod(observer.error);\n      if (!m) throw value;\n      value = m.call(observer, value);\n    } catch (e) {\n      try {\n        cleanupSubscription(subscription);\n      } finally {\n        throw e;\n      }\n    } cleanupSubscription(subscription);\n    return value;\n  },\n  complete: function complete(value) {\n    var subscription = this._s;\n    if (!subscriptionClosed(subscription)) {\n      var observer = subscription._o;\n      subscription._o = undefined;\n      try {\n        var m = getMethod(observer.complete);\n        value = m ? m.call(observer, value) : undefined;\n      } catch (e) {\n        try {\n          cleanupSubscription(subscription);\n        } finally {\n          throw e;\n        }\n      } cleanupSubscription(subscription);\n      return value;\n    }\n  }\n});\n\nvar $Observable = function Observable(subscriber) {\n  anInstance(this, $Observable, 'Observable', '_f')._f = aFunction(subscriber);\n};\n\nredefineAll($Observable.prototype, {\n  subscribe: function subscribe(observer) {\n    return new Subscription(observer, this._f);\n  },\n  forEach: function forEach(fn) {\n    var that = this;\n    return new (core.Promise || global.Promise)(function (resolve, reject) {\n      aFunction(fn);\n      var subscription = that.subscribe({\n        next: function (value) {\n          try {\n            return fn(value);\n          } catch (e) {\n            reject(e);\n            subscription.unsubscribe();\n          }\n        },\n        error: reject,\n        complete: resolve\n      });\n    });\n  }\n});\n\nredefineAll($Observable, {\n  from: function from(x) {\n    var C = typeof this === 'function' ? this : $Observable;\n    var method = getMethod(anObject(x)[OBSERVABLE]);\n    if (method) {\n      var observable = anObject(method.call(x));\n      return observable.constructor === C ? observable : new C(function (observer) {\n        return observable.subscribe(observer);\n      });\n    }\n    return new C(function (observer) {\n      var done = false;\n      microtask(function () {\n        if (!done) {\n          try {\n            if (forOf(x, false, function (it) {\n              observer.next(it);\n              if (done) return RETURN;\n            }) === RETURN) return;\n          } catch (e) {\n            if (done) throw e;\n            observer.error(e);\n            return;\n          } observer.complete();\n        }\n      });\n      return function () { done = true; };\n    });\n  },\n  of: function of() {\n    for (var i = 0, l = arguments.length, items = new Array(l); i < l;) items[i] = arguments[i++];\n    return new (typeof this === 'function' ? this : $Observable)(function (observer) {\n      var done = false;\n      microtask(function () {\n        if (!done) {\n          for (var j = 0; j < items.length; ++j) {\n            observer.next(items[j]);\n            if (done) return;\n          } observer.complete();\n        }\n      });\n      return function () { done = true; };\n    });\n  }\n});\n\nhide($Observable.prototype, OBSERVABLE, function () { return this; });\n\n$export($export.G, { Observable: $Observable });\n\nrequire('./_set-species')('Observable');\n","// ie9- setTimeout & setInterval additional parameters fix\nvar global = require('./_global');\nvar $export = require('./_export');\nvar userAgent = require('./_user-agent');\nvar slice = [].slice;\nvar MSIE = /MSIE .\\./.test(userAgent); // <- dirty ie9- check\nvar wrap = function (set) {\n  return function (fn, time /* , ...args */) {\n    var boundArgs = arguments.length > 2;\n    var args = boundArgs ? slice.call(arguments, 2) : false;\n    return set(boundArgs ? function () {\n      // eslint-disable-next-line no-new-func\n      (typeof fn == 'function' ? fn : Function(fn)).apply(this, args);\n    } : fn, time);\n  };\n};\n$export($export.G + $export.B + $export.F * MSIE, {\n  setTimeout: wrap(global.setTimeout),\n  setInterval: wrap(global.setInterval)\n});\n","var $export = require('./_export');\nvar $task = require('./_task');\n$export($export.G + $export.B, {\n  setImmediate: $task.set,\n  clearImmediate: $task.clear\n});\n","var $iterators = require('./es6.array.iterator');\nvar getKeys = require('./_object-keys');\nvar redefine = require('./_redefine');\nvar global = require('./_global');\nvar hide = require('./_hide');\nvar Iterators = require('./_iterators');\nvar wks = require('./_wks');\nvar ITERATOR = wks('iterator');\nvar TO_STRING_TAG = wks('toStringTag');\nvar ArrayValues = Iterators.Array;\n\nvar DOMIterables = {\n  CSSRuleList: true, // TODO: Not spec compliant, should be false.\n  CSSStyleDeclaration: false,\n  CSSValueList: false,\n  ClientRectList: false,\n  DOMRectList: false,\n  DOMStringList: false,\n  DOMTokenList: true,\n  DataTransferItemList: false,\n  FileList: false,\n  HTMLAllCollection: false,\n  HTMLCollection: false,\n  HTMLFormElement: false,\n  HTMLSelectElement: false,\n  MediaList: true, // TODO: Not spec compliant, should be false.\n  MimeTypeArray: false,\n  NamedNodeMap: false,\n  NodeList: true,\n  PaintRequestList: false,\n  Plugin: false,\n  PluginArray: false,\n  SVGLengthList: false,\n  SVGNumberList: false,\n  SVGPathSegList: false,\n  SVGPointList: false,\n  SVGStringList: false,\n  SVGTransformList: false,\n  SourceBufferList: false,\n  StyleSheetList: true, // TODO: Not spec compliant, should be false.\n  TextTrackCueList: false,\n  TextTrackList: false,\n  TouchList: false\n};\n\nfor (var collections = getKeys(DOMIterables), i = 0; i < collections.length; i++) {\n  var NAME = collections[i];\n  var explicit = DOMIterables[NAME];\n  var Collection = global[NAME];\n  var proto = Collection && Collection.prototype;\n  var key;\n  if (proto) {\n    if (!proto[ITERATOR]) hide(proto, ITERATOR, ArrayValues);\n    if (!proto[TO_STRING_TAG]) hide(proto, TO_STRING_TAG, NAME);\n    Iterators[NAME] = ArrayValues;\n    if (explicit) for (key in $iterators) if (!proto[key]) redefine(proto, key, $iterators[key], true);\n  }\n}\n","require('./modules/es6.symbol');\nrequire('./modules/es6.object.create');\nrequire('./modules/es6.object.define-property');\nrequire('./modules/es6.object.define-properties');\nrequire('./modules/es6.object.get-own-property-descriptor');\nrequire('./modules/es6.object.get-prototype-of');\nrequire('./modules/es6.object.keys');\nrequire('./modules/es6.object.get-own-property-names');\nrequire('./modules/es6.object.freeze');\nrequire('./modules/es6.object.seal');\nrequire('./modules/es6.object.prevent-extensions');\nrequire('./modules/es6.object.is-frozen');\nrequire('./modules/es6.object.is-sealed');\nrequire('./modules/es6.object.is-extensible');\nrequire('./modules/es6.object.assign');\nrequire('./modules/es6.object.is');\nrequire('./modules/es6.object.set-prototype-of');\nrequire('./modules/es6.object.to-string');\nrequire('./modules/es6.function.bind');\nrequire('./modules/es6.function.name');\nrequire('./modules/es6.function.has-instance');\nrequire('./modules/es6.parse-int');\nrequire('./modules/es6.parse-float');\nrequire('./modules/es6.number.constructor');\nrequire('./modules/es6.number.to-fixed');\nrequire('./modules/es6.number.to-precision');\nrequire('./modules/es6.number.epsilon');\nrequire('./modules/es6.number.is-finite');\nrequire('./modules/es6.number.is-integer');\nrequire('./modules/es6.number.is-nan');\nrequire('./modules/es6.number.is-safe-integer');\nrequire('./modules/es6.number.max-safe-integer');\nrequire('./modules/es6.number.min-safe-integer');\nrequire('./modules/es6.number.parse-float');\nrequire('./modules/es6.number.parse-int');\nrequire('./modules/es6.math.acosh');\nrequire('./modules/es6.math.asinh');\nrequire('./modules/es6.math.atanh');\nrequire('./modules/es6.math.cbrt');\nrequire('./modules/es6.math.clz32');\nrequire('./modules/es6.math.cosh');\nrequire('./modules/es6.math.expm1');\nrequire('./modules/es6.math.fround');\nrequire('./modules/es6.math.hypot');\nrequire('./modules/es6.math.imul');\nrequire('./modules/es6.math.log10');\nrequire('./modules/es6.math.log1p');\nrequire('./modules/es6.math.log2');\nrequire('./modules/es6.math.sign');\nrequire('./modules/es6.math.sinh');\nrequire('./modules/es6.math.tanh');\nrequire('./modules/es6.math.trunc');\nrequire('./modules/es6.string.from-code-point');\nrequire('./modules/es6.string.raw');\nrequire('./modules/es6.string.trim');\nrequire('./modules/es6.string.iterator');\nrequire('./modules/es6.string.code-point-at');\nrequire('./modules/es6.string.ends-with');\nrequire('./modules/es6.string.includes');\nrequire('./modules/es6.string.repeat');\nrequire('./modules/es6.string.starts-with');\nrequire('./modules/es6.string.anchor');\nrequire('./modules/es6.string.big');\nrequire('./modules/es6.string.blink');\nrequire('./modules/es6.string.bold');\nrequire('./modules/es6.string.fixed');\nrequire('./modules/es6.string.fontcolor');\nrequire('./modules/es6.string.fontsize');\nrequire('./modules/es6.string.italics');\nrequire('./modules/es6.string.link');\nrequire('./modules/es6.string.small');\nrequire('./modules/es6.string.strike');\nrequire('./modules/es6.string.sub');\nrequire('./modules/es6.string.sup');\nrequire('./modules/es6.date.now');\nrequire('./modules/es6.date.to-json');\nrequire('./modules/es6.date.to-iso-string');\nrequire('./modules/es6.date.to-string');\nrequire('./modules/es6.date.to-primitive');\nrequire('./modules/es6.array.is-array');\nrequire('./modules/es6.array.from');\nrequire('./modules/es6.array.of');\nrequire('./modules/es6.array.join');\nrequire('./modules/es6.array.slice');\nrequire('./modules/es6.array.sort');\nrequire('./modules/es6.array.for-each');\nrequire('./modules/es6.array.map');\nrequire('./modules/es6.array.filter');\nrequire('./modules/es6.array.some');\nrequire('./modules/es6.array.every');\nrequire('./modules/es6.array.reduce');\nrequire('./modules/es6.array.reduce-right');\nrequire('./modules/es6.array.index-of');\nrequire('./modules/es6.array.last-index-of');\nrequire('./modules/es6.array.copy-within');\nrequire('./modules/es6.array.fill');\nrequire('./modules/es6.array.find');\nrequire('./modules/es6.array.find-index');\nrequire('./modules/es6.array.species');\nrequire('./modules/es6.array.iterator');\nrequire('./modules/es6.regexp.constructor');\nrequire('./modules/es6.regexp.exec');\nrequire('./modules/es6.regexp.to-string');\nrequire('./modules/es6.regexp.flags');\nrequire('./modules/es6.regexp.match');\nrequire('./modules/es6.regexp.replace');\nrequire('./modules/es6.regexp.search');\nrequire('./modules/es6.regexp.split');\nrequire('./modules/es6.promise');\nrequire('./modules/es6.map');\nrequire('./modules/es6.set');\nrequire('./modules/es6.weak-map');\nrequire('./modules/es6.weak-set');\nrequire('./modules/es6.typed.array-buffer');\nrequire('./modules/es6.typed.data-view');\nrequire('./modules/es6.typed.int8-array');\nrequire('./modules/es6.typed.uint8-array');\nrequire('./modules/es6.typed.uint8-clamped-array');\nrequire('./modules/es6.typed.int16-array');\nrequire('./modules/es6.typed.uint16-array');\nrequire('./modules/es6.typed.int32-array');\nrequire('./modules/es6.typed.uint32-array');\nrequire('./modules/es6.typed.float32-array');\nrequire('./modules/es6.typed.float64-array');\nrequire('./modules/es6.reflect.apply');\nrequire('./modules/es6.reflect.construct');\nrequire('./modules/es6.reflect.define-property');\nrequire('./modules/es6.reflect.delete-property');\nrequire('./modules/es6.reflect.enumerate');\nrequire('./modules/es6.reflect.get');\nrequire('./modules/es6.reflect.get-own-property-descriptor');\nrequire('./modules/es6.reflect.get-prototype-of');\nrequire('./modules/es6.reflect.has');\nrequire('./modules/es6.reflect.is-extensible');\nrequire('./modules/es6.reflect.own-keys');\nrequire('./modules/es6.reflect.prevent-extensions');\nrequire('./modules/es6.reflect.set');\nrequire('./modules/es6.reflect.set-prototype-of');\nrequire('./modules/es7.array.includes');\nrequire('./modules/es7.array.flat-map');\nrequire('./modules/es7.array.flatten');\nrequire('./modules/es7.string.at');\nrequire('./modules/es7.string.pad-start');\nrequire('./modules/es7.string.pad-end');\nrequire('./modules/es7.string.trim-left');\nrequire('./modules/es7.string.trim-right');\nrequire('./modules/es7.string.match-all');\nrequire('./modules/es7.symbol.async-iterator');\nrequire('./modules/es7.symbol.observable');\nrequire('./modules/es7.object.get-own-property-descriptors');\nrequire('./modules/es7.object.values');\nrequire('./modules/es7.object.entries');\nrequire('./modules/es7.object.define-getter');\nrequire('./modules/es7.object.define-setter');\nrequire('./modules/es7.object.lookup-getter');\nrequire('./modules/es7.object.lookup-setter');\nrequire('./modules/es7.map.to-json');\nrequire('./modules/es7.set.to-json');\nrequire('./modules/es7.map.of');\nrequire('./modules/es7.set.of');\nrequire('./modules/es7.weak-map.of');\nrequire('./modules/es7.weak-set.of');\nrequire('./modules/es7.map.from');\nrequire('./modules/es7.set.from');\nrequire('./modules/es7.weak-map.from');\nrequire('./modules/es7.weak-set.from');\nrequire('./modules/es7.global');\nrequire('./modules/es7.system.global');\nrequire('./modules/es7.error.is-error');\nrequire('./modules/es7.math.clamp');\nrequire('./modules/es7.math.deg-per-rad');\nrequire('./modules/es7.math.degrees');\nrequire('./modules/es7.math.fscale');\nrequire('./modules/es7.math.iaddh');\nrequire('./modules/es7.math.isubh');\nrequire('./modules/es7.math.imulh');\nrequire('./modules/es7.math.rad-per-deg');\nrequire('./modules/es7.math.radians');\nrequire('./modules/es7.math.scale');\nrequire('./modules/es7.math.umulh');\nrequire('./modules/es7.math.signbit');\nrequire('./modules/es7.promise.finally');\nrequire('./modules/es7.promise.try');\nrequire('./modules/es7.reflect.define-metadata');\nrequire('./modules/es7.reflect.delete-metadata');\nrequire('./modules/es7.reflect.get-metadata');\nrequire('./modules/es7.reflect.get-metadata-keys');\nrequire('./modules/es7.reflect.get-own-metadata');\nrequire('./modules/es7.reflect.get-own-metadata-keys');\nrequire('./modules/es7.reflect.has-metadata');\nrequire('./modules/es7.reflect.has-own-metadata');\nrequire('./modules/es7.reflect.metadata');\nrequire('./modules/es7.asap');\nrequire('./modules/es7.observable');\nrequire('./modules/web.timers');\nrequire('./modules/web.immediate');\nrequire('./modules/web.dom.iterable');\nmodule.exports = require('./modules/_core');\n","/**\n * Copyright (c) 2014, Facebook, Inc.\n * All rights reserved.\n *\n * This source code is licensed under the BSD-style license found in the\n * https://raw.github.com/facebook/regenerator/master/LICENSE file. An\n * additional grant of patent rights can be found in the PATENTS file in\n * the same directory.\n */\n\n!(function(global) {\n  \"use strict\";\n\n  var Op = Object.prototype;\n  var hasOwn = Op.hasOwnProperty;\n  var undefined; // More compressible than void 0.\n  var $Symbol = typeof Symbol === \"function\" ? Symbol : {};\n  var iteratorSymbol = $Symbol.iterator || \"@@iterator\";\n  var asyncIteratorSymbol = $Symbol.asyncIterator || \"@@asyncIterator\";\n  var toStringTagSymbol = $Symbol.toStringTag || \"@@toStringTag\";\n\n  var inModule = typeof module === \"object\";\n  var runtime = global.regeneratorRuntime;\n  if (runtime) {\n    if (inModule) {\n      // If regeneratorRuntime is defined globally and we're in a module,\n      // make the exports object identical to regeneratorRuntime.\n      module.exports = runtime;\n    }\n    // Don't bother evaluating the rest of this file if the runtime was\n    // already defined globally.\n    return;\n  }\n\n  // Define the runtime globally (as expected by generated code) as either\n  // module.exports (if we're in a module) or a new, empty object.\n  runtime = global.regeneratorRuntime = inModule ? module.exports : {};\n\n  function wrap(innerFn, outerFn, self, tryLocsList) {\n    // If outerFn provided and outerFn.prototype is a Generator, then outerFn.prototype instanceof Generator.\n    var protoGenerator = outerFn && outerFn.prototype instanceof Generator ? outerFn : Generator;\n    var generator = Object.create(protoGenerator.prototype);\n    var context = new Context(tryLocsList || []);\n\n    // The ._invoke method unifies the implementations of the .next,\n    // .throw, and .return methods.\n    generator._invoke = makeInvokeMethod(innerFn, self, context);\n\n    return generator;\n  }\n  runtime.wrap = wrap;\n\n  // Try/catch helper to minimize deoptimizations. Returns a completion\n  // record like context.tryEntries[i].completion. This interface could\n  // have been (and was previously) designed to take a closure to be\n  // invoked without arguments, but in all the cases we care about we\n  // already have an existing method we want to call, so there's no need\n  // to create a new function object. We can even get away with assuming\n  // the method takes exactly one argument, since that happens to be true\n  // in every case, so we don't have to touch the arguments object. The\n  // only additional allocation required is the completion record, which\n  // has a stable shape and so hopefully should be cheap to allocate.\n  function tryCatch(fn, obj, arg) {\n    try {\n      return { type: \"normal\", arg: fn.call(obj, arg) };\n    } catch (err) {\n      return { type: \"throw\", arg: err };\n    }\n  }\n\n  var GenStateSuspendedStart = \"suspendedStart\";\n  var GenStateSuspendedYield = \"suspendedYield\";\n  var GenStateExecuting = \"executing\";\n  var GenStateCompleted = \"completed\";\n\n  // Returning this object from the innerFn has the same effect as\n  // breaking out of the dispatch switch statement.\n  var ContinueSentinel = {};\n\n  // Dummy constructor functions that we use as the .constructor and\n  // .constructor.prototype properties for functions that return Generator\n  // objects. For full spec compliance, you may wish to configure your\n  // minifier not to mangle the names of these two functions.\n  function Generator() {}\n  function GeneratorFunction() {}\n  function GeneratorFunctionPrototype() {}\n\n  // This is a polyfill for %IteratorPrototype% for environments that\n  // don't natively support it.\n  var IteratorPrototype = {};\n  IteratorPrototype[iteratorSymbol] = function () {\n    return this;\n  };\n\n  var getProto = Object.getPrototypeOf;\n  var NativeIteratorPrototype = getProto && getProto(getProto(values([])));\n  if (NativeIteratorPrototype &&\n      NativeIteratorPrototype !== Op &&\n      hasOwn.call(NativeIteratorPrototype, iteratorSymbol)) {\n    // This environment has a native %IteratorPrototype%; use it instead\n    // of the polyfill.\n    IteratorPrototype = NativeIteratorPrototype;\n  }\n\n  var Gp = GeneratorFunctionPrototype.prototype =\n    Generator.prototype = Object.create(IteratorPrototype);\n  GeneratorFunction.prototype = Gp.constructor = GeneratorFunctionPrototype;\n  GeneratorFunctionPrototype.constructor = GeneratorFunction;\n  GeneratorFunctionPrototype[toStringTagSymbol] =\n    GeneratorFunction.displayName = \"GeneratorFunction\";\n\n  // Helper for defining the .next, .throw, and .return methods of the\n  // Iterator interface in terms of a single ._invoke method.\n  function defineIteratorMethods(prototype) {\n    [\"next\", \"throw\", \"return\"].forEach(function(method) {\n      prototype[method] = function(arg) {\n        return this._invoke(method, arg);\n      };\n    });\n  }\n\n  runtime.isGeneratorFunction = function(genFun) {\n    var ctor = typeof genFun === \"function\" && genFun.constructor;\n    return ctor\n      ? ctor === GeneratorFunction ||\n        // For the native GeneratorFunction constructor, the best we can\n        // do is to check its .name property.\n        (ctor.displayName || ctor.name) === \"GeneratorFunction\"\n      : false;\n  };\n\n  runtime.mark = function(genFun) {\n    if (Object.setPrototypeOf) {\n      Object.setPrototypeOf(genFun, GeneratorFunctionPrototype);\n    } else {\n      genFun.__proto__ = GeneratorFunctionPrototype;\n      if (!(toStringTagSymbol in genFun)) {\n        genFun[toStringTagSymbol] = \"GeneratorFunction\";\n      }\n    }\n    genFun.prototype = Object.create(Gp);\n    return genFun;\n  };\n\n  // Within the body of any async function, `await x` is transformed to\n  // `yield regeneratorRuntime.awrap(x)`, so that the runtime can test\n  // `hasOwn.call(value, \"__await\")` to determine if the yielded value is\n  // meant to be awaited.\n  runtime.awrap = function(arg) {\n    return { __await: arg };\n  };\n\n  function AsyncIterator(generator) {\n    function invoke(method, arg, resolve, reject) {\n      var record = tryCatch(generator[method], generator, arg);\n      if (record.type === \"throw\") {\n        reject(record.arg);\n      } else {\n        var result = record.arg;\n        var value = result.value;\n        if (value &&\n            typeof value === \"object\" &&\n            hasOwn.call(value, \"__await\")) {\n          return Promise.resolve(value.__await).then(function(value) {\n            invoke(\"next\", value, resolve, reject);\n          }, function(err) {\n            invoke(\"throw\", err, resolve, reject);\n          });\n        }\n\n        return Promise.resolve(value).then(function(unwrapped) {\n          // When a yielded Promise is resolved, its final value becomes\n          // the .value of the Promise<{value,done}> result for the\n          // current iteration. If the Promise is rejected, however, the\n          // result for this iteration will be rejected with the same\n          // reason. Note that rejections of yielded Promises are not\n          // thrown back into the generator function, as is the case\n          // when an awaited Promise is rejected. This difference in\n          // behavior between yield and await is important, because it\n          // allows the consumer to decide what to do with the yielded\n          // rejection (swallow it and continue, manually .throw it back\n          // into the generator, abandon iteration, whatever). With\n          // await, by contrast, there is no opportunity to examine the\n          // rejection reason outside the generator function, so the\n          // only option is to throw it from the await expression, and\n          // let the generator function handle the exception.\n          result.value = unwrapped;\n          resolve(result);\n        }, reject);\n      }\n    }\n\n    if (typeof global.process === \"object\" && global.process.domain) {\n      invoke = global.process.domain.bind(invoke);\n    }\n\n    var previousPromise;\n\n    function enqueue(method, arg) {\n      function callInvokeWithMethodAndArg() {\n        return new Promise(function(resolve, reject) {\n          invoke(method, arg, resolve, reject);\n        });\n      }\n\n      return previousPromise =\n        // If enqueue has been called before, then we want to wait until\n        // all previous Promises have been resolved before calling invoke,\n        // so that results are always delivered in the correct order. If\n        // enqueue has not been called before, then it is important to\n        // call invoke immediately, without waiting on a callback to fire,\n        // so that the async generator function has the opportunity to do\n        // any necessary setup in a predictable way. This predictability\n        // is why the Promise constructor synchronously invokes its\n        // executor callback, and why async functions synchronously\n        // execute code before the first await. Since we implement simple\n        // async functions in terms of async generators, it is especially\n        // important to get this right, even though it requires care.\n        previousPromise ? previousPromise.then(\n          callInvokeWithMethodAndArg,\n          // Avoid propagating failures to Promises returned by later\n          // invocations of the iterator.\n          callInvokeWithMethodAndArg\n        ) : callInvokeWithMethodAndArg();\n    }\n\n    // Define the unified helper method that is used to implement .next,\n    // .throw, and .return (see defineIteratorMethods).\n    this._invoke = enqueue;\n  }\n\n  defineIteratorMethods(AsyncIterator.prototype);\n  AsyncIterator.prototype[asyncIteratorSymbol] = function () {\n    return this;\n  };\n  runtime.AsyncIterator = AsyncIterator;\n\n  // Note that simple async functions are implemented on top of\n  // AsyncIterator objects; they just return a Promise for the value of\n  // the final result produced by the iterator.\n  runtime.async = function(innerFn, outerFn, self, tryLocsList) {\n    var iter = new AsyncIterator(\n      wrap(innerFn, outerFn, self, tryLocsList)\n    );\n\n    return runtime.isGeneratorFunction(outerFn)\n      ? iter // If outerFn is a generator, return the full iterator.\n      : iter.next().then(function(result) {\n          return result.done ? result.value : iter.next();\n        });\n  };\n\n  function makeInvokeMethod(innerFn, self, context) {\n    var state = GenStateSuspendedStart;\n\n    return function invoke(method, arg) {\n      if (state === GenStateExecuting) {\n        throw new Error(\"Generator is already running\");\n      }\n\n      if (state === GenStateCompleted) {\n        if (method === \"throw\") {\n          throw arg;\n        }\n\n        // Be forgiving, per 25.3.3.3.3 of the spec:\n        // https://people.mozilla.org/~jorendorff/es6-draft.html#sec-generatorresume\n        return doneResult();\n      }\n\n      context.method = method;\n      context.arg = arg;\n\n      while (true) {\n        var delegate = context.delegate;\n        if (delegate) {\n          var delegateResult = maybeInvokeDelegate(delegate, context);\n          if (delegateResult) {\n            if (delegateResult === ContinueSentinel) continue;\n            return delegateResult;\n          }\n        }\n\n        if (context.method === \"next\") {\n          // Setting context._sent for legacy support of Babel's\n          // function.sent implementation.\n          context.sent = context._sent = context.arg;\n\n        } else if (context.method === \"throw\") {\n          if (state === GenStateSuspendedStart) {\n            state = GenStateCompleted;\n            throw context.arg;\n          }\n\n          context.dispatchException(context.arg);\n\n        } else if (context.method === \"return\") {\n          context.abrupt(\"return\", context.arg);\n        }\n\n        state = GenStateExecuting;\n\n        var record = tryCatch(innerFn, self, context);\n        if (record.type === \"normal\") {\n          // If an exception is thrown from innerFn, we leave state ===\n          // GenStateExecuting and loop back for another invocation.\n          state = context.done\n            ? GenStateCompleted\n            : GenStateSuspendedYield;\n\n          if (record.arg === ContinueSentinel) {\n            continue;\n          }\n\n          return {\n            value: record.arg,\n            done: context.done\n          };\n\n        } else if (record.type === \"throw\") {\n          state = GenStateCompleted;\n          // Dispatch the exception by looping back around to the\n          // context.dispatchException(context.arg) call above.\n          context.method = \"throw\";\n          context.arg = record.arg;\n        }\n      }\n    };\n  }\n\n  // Call delegate.iterator[context.method](context.arg) and handle the\n  // result, either by returning a { value, done } result from the\n  // delegate iterator, or by modifying context.method and context.arg,\n  // setting context.delegate to null, and returning the ContinueSentinel.\n  function maybeInvokeDelegate(delegate, context) {\n    var method = delegate.iterator[context.method];\n    if (method === undefined) {\n      // A .throw or .return when the delegate iterator has no .throw\n      // method always terminates the yield* loop.\n      context.delegate = null;\n\n      if (context.method === \"throw\") {\n        if (delegate.iterator.return) {\n          // If the delegate iterator has a return method, give it a\n          // chance to clean up.\n          context.method = \"return\";\n          context.arg = undefined;\n          maybeInvokeDelegate(delegate, context);\n\n          if (context.method === \"throw\") {\n            // If maybeInvokeDelegate(context) changed context.method from\n            // \"return\" to \"throw\", let that override the TypeError below.\n            return ContinueSentinel;\n          }\n        }\n\n        context.method = \"throw\";\n        context.arg = new TypeError(\n          \"The iterator does not provide a 'throw' method\");\n      }\n\n      return ContinueSentinel;\n    }\n\n    var record = tryCatch(method, delegate.iterator, context.arg);\n\n    if (record.type === \"throw\") {\n      context.method = \"throw\";\n      context.arg = record.arg;\n      context.delegate = null;\n      return ContinueSentinel;\n    }\n\n    var info = record.arg;\n\n    if (! info) {\n      context.method = \"throw\";\n      context.arg = new TypeError(\"iterator result is not an object\");\n      context.delegate = null;\n      return ContinueSentinel;\n    }\n\n    if (info.done) {\n      // Assign the result of the finished delegate to the temporary\n      // variable specified by delegate.resultName (see delegateYield).\n      context[delegate.resultName] = info.value;\n\n      // Resume execution at the desired location (see delegateYield).\n      context.next = delegate.nextLoc;\n\n      // If context.method was \"throw\" but the delegate handled the\n      // exception, let the outer generator proceed normally. If\n      // context.method was \"next\", forget context.arg since it has been\n      // \"consumed\" by the delegate iterator. If context.method was\n      // \"return\", allow the original .return call to continue in the\n      // outer generator.\n      if (context.method !== \"return\") {\n        context.method = \"next\";\n        context.arg = undefined;\n      }\n\n    } else {\n      // Re-yield the result returned by the delegate method.\n      return info;\n    }\n\n    // The delegate iterator is finished, so forget it and continue with\n    // the outer generator.\n    context.delegate = null;\n    return ContinueSentinel;\n  }\n\n  // Define Generator.prototype.{next,throw,return} in terms of the\n  // unified ._invoke helper method.\n  defineIteratorMethods(Gp);\n\n  Gp[toStringTagSymbol] = \"Generator\";\n\n  // A Generator should always return itself as the iterator object when the\n  // @@iterator function is called on it. Some browsers' implementations of the\n  // iterator prototype chain incorrectly implement this, causing the Generator\n  // object to not be returned from this call. This ensures that doesn't happen.\n  // See https://github.com/facebook/regenerator/issues/274 for more details.\n  Gp[iteratorSymbol] = function() {\n    return this;\n  };\n\n  Gp.toString = function() {\n    return \"[object Generator]\";\n  };\n\n  function pushTryEntry(locs) {\n    var entry = { tryLoc: locs[0] };\n\n    if (1 in locs) {\n      entry.catchLoc = locs[1];\n    }\n\n    if (2 in locs) {\n      entry.finallyLoc = locs[2];\n      entry.afterLoc = locs[3];\n    }\n\n    this.tryEntries.push(entry);\n  }\n\n  function resetTryEntry(entry) {\n    var record = entry.completion || {};\n    record.type = \"normal\";\n    delete record.arg;\n    entry.completion = record;\n  }\n\n  function Context(tryLocsList) {\n    // The root entry object (effectively a try statement without a catch\n    // or a finally block) gives us a place to store values thrown from\n    // locations where there is no enclosing try statement.\n    this.tryEntries = [{ tryLoc: \"root\" }];\n    tryLocsList.forEach(pushTryEntry, this);\n    this.reset(true);\n  }\n\n  runtime.keys = function(object) {\n    var keys = [];\n    for (var key in object) {\n      keys.push(key);\n    }\n    keys.reverse();\n\n    // Rather than returning an object with a next method, we keep\n    // things simple and return the next function itself.\n    return function next() {\n      while (keys.length) {\n        var key = keys.pop();\n        if (key in object) {\n          next.value = key;\n          next.done = false;\n          return next;\n        }\n      }\n\n      // To avoid creating an additional object, we just hang the .value\n      // and .done properties off the next function object itself. This\n      // also ensures that the minifier will not anonymize the function.\n      next.done = true;\n      return next;\n    };\n  };\n\n  function values(iterable) {\n    if (iterable) {\n      var iteratorMethod = iterable[iteratorSymbol];\n      if (iteratorMethod) {\n        return iteratorMethod.call(iterable);\n      }\n\n      if (typeof iterable.next === \"function\") {\n        return iterable;\n      }\n\n      if (!isNaN(iterable.length)) {\n        var i = -1, next = function next() {\n          while (++i < iterable.length) {\n            if (hasOwn.call(iterable, i)) {\n              next.value = iterable[i];\n              next.done = false;\n              return next;\n            }\n          }\n\n          next.value = undefined;\n          next.done = true;\n\n          return next;\n        };\n\n        return next.next = next;\n      }\n    }\n\n    // Return an iterator with no values.\n    return { next: doneResult };\n  }\n  runtime.values = values;\n\n  function doneResult() {\n    return { value: undefined, done: true };\n  }\n\n  Context.prototype = {\n    constructor: Context,\n\n    reset: function(skipTempReset) {\n      this.prev = 0;\n      this.next = 0;\n      // Resetting context._sent for legacy support of Babel's\n      // function.sent implementation.\n      this.sent = this._sent = undefined;\n      this.done = false;\n      this.delegate = null;\n\n      this.method = \"next\";\n      this.arg = undefined;\n\n      this.tryEntries.forEach(resetTryEntry);\n\n      if (!skipTempReset) {\n        for (var name in this) {\n          // Not sure about the optimal order of these conditions:\n          if (name.charAt(0) === \"t\" &&\n              hasOwn.call(this, name) &&\n              !isNaN(+name.slice(1))) {\n            this[name] = undefined;\n          }\n        }\n      }\n    },\n\n    stop: function() {\n      this.done = true;\n\n      var rootEntry = this.tryEntries[0];\n      var rootRecord = rootEntry.completion;\n      if (rootRecord.type === \"throw\") {\n        throw rootRecord.arg;\n      }\n\n      return this.rval;\n    },\n\n    dispatchException: function(exception) {\n      if (this.done) {\n        throw exception;\n      }\n\n      var context = this;\n      function handle(loc, caught) {\n        record.type = \"throw\";\n        record.arg = exception;\n        context.next = loc;\n\n        if (caught) {\n          // If the dispatched exception was caught by a catch block,\n          // then let that catch block handle the exception normally.\n          context.method = \"next\";\n          context.arg = undefined;\n        }\n\n        return !! caught;\n      }\n\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        var record = entry.completion;\n\n        if (entry.tryLoc === \"root\") {\n          // Exception thrown outside of any try block that could handle\n          // it, so set the completion value of the entire function to\n          // throw the exception.\n          return handle(\"end\");\n        }\n\n        if (entry.tryLoc <= this.prev) {\n          var hasCatch = hasOwn.call(entry, \"catchLoc\");\n          var hasFinally = hasOwn.call(entry, \"finallyLoc\");\n\n          if (hasCatch && hasFinally) {\n            if (this.prev < entry.catchLoc) {\n              return handle(entry.catchLoc, true);\n            } else if (this.prev < entry.finallyLoc) {\n              return handle(entry.finallyLoc);\n            }\n\n          } else if (hasCatch) {\n            if (this.prev < entry.catchLoc) {\n              return handle(entry.catchLoc, true);\n            }\n\n          } else if (hasFinally) {\n            if (this.prev < entry.finallyLoc) {\n              return handle(entry.finallyLoc);\n            }\n\n          } else {\n            throw new Error(\"try statement without catch or finally\");\n          }\n        }\n      }\n    },\n\n    abrupt: function(type, arg) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.tryLoc <= this.prev &&\n            hasOwn.call(entry, \"finallyLoc\") &&\n            this.prev < entry.finallyLoc) {\n          var finallyEntry = entry;\n          break;\n        }\n      }\n\n      if (finallyEntry &&\n          (type === \"break\" ||\n           type === \"continue\") &&\n          finallyEntry.tryLoc <= arg &&\n          arg <= finallyEntry.finallyLoc) {\n        // Ignore the finally entry if control is not jumping to a\n        // location outside the try/catch block.\n        finallyEntry = null;\n      }\n\n      var record = finallyEntry ? finallyEntry.completion : {};\n      record.type = type;\n      record.arg = arg;\n\n      if (finallyEntry) {\n        this.method = \"next\";\n        this.next = finallyEntry.finallyLoc;\n        return ContinueSentinel;\n      }\n\n      return this.complete(record);\n    },\n\n    complete: function(record, afterLoc) {\n      if (record.type === \"throw\") {\n        throw record.arg;\n      }\n\n      if (record.type === \"break\" ||\n          record.type === \"continue\") {\n        this.next = record.arg;\n      } else if (record.type === \"return\") {\n        this.rval = this.arg = record.arg;\n        this.method = \"return\";\n        this.next = \"end\";\n      } else if (record.type === \"normal\" && afterLoc) {\n        this.next = afterLoc;\n      }\n\n      return ContinueSentinel;\n    },\n\n    finish: function(finallyLoc) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.finallyLoc === finallyLoc) {\n          this.complete(entry.completion, entry.afterLoc);\n          resetTryEntry(entry);\n          return ContinueSentinel;\n        }\n      }\n    },\n\n    \"catch\": function(tryLoc) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.tryLoc === tryLoc) {\n          var record = entry.completion;\n          if (record.type === \"throw\") {\n            var thrown = record.arg;\n            resetTryEntry(entry);\n          }\n          return thrown;\n        }\n      }\n\n      // The context.catch method must only be called with a location\n      // argument that corresponds to a known catch block.\n      throw new Error(\"illegal catch attempt\");\n    },\n\n    delegateYield: function(iterable, resultName, nextLoc) {\n      this.delegate = {\n        iterator: values(iterable),\n        resultName: resultName,\n        nextLoc: nextLoc\n      };\n\n      if (this.method === \"next\") {\n        // Deliberately forget the last sent value so that we don't\n        // accidentally pass it on to the delegate.\n        this.arg = undefined;\n      }\n\n      return ContinueSentinel;\n    }\n  };\n})(\n  // Among the various tricks for obtaining a reference to the global\n  // object, this seems to be the most reliable technique that does not\n  // use indirect eval (which violates Content Security Policy).\n  typeof global === \"object\" ? global :\n  typeof window === \"object\" ? window :\n  typeof self === \"object\" ? self : this\n);\n","module.exports = function (regExp, replace) {\n  var replacer = replace === Object(replace) ? function (part) {\n    return replace[part];\n  } : replace;\n  return function (it) {\n    return String(it).replace(regExp, replacer);\n  };\n};\n","// https://github.com/benjamingr/RexExp.escape\nvar $export = require('./_export');\nvar $re = require('./_replacer')(/[\\\\^$*+?.()|[\\]{}]/g, '\\\\$&');\n\n$export($export.S, 'RegExp', { escape: function escape(it) { return $re(it); } });\n","require('../../modules/core.regexp.escape');\nmodule.exports = require('../../modules/_core').RegExp.escape;\n","\"use strict\";\n\nrequire(\"core-js/shim\");\n\nrequire(\"regenerator-runtime/runtime\");\n\nrequire(\"core-js/fn/regexp/escape\");\n\nif (global._babelPolyfill) {\n  throw new Error(\"only one instance of babel-polyfill is allowed\");\n}\nglobal._babelPolyfill = true;\n\nvar DEFINE_PROPERTY = \"defineProperty\";\nfunction define(O, key, value) {\n  O[key] || Object[DEFINE_PROPERTY](O, key, {\n    writable: true,\n    configurable: true,\n    value: value\n  });\n}\n\ndefine(String.prototype, \"padLeft\", \"\".padStart);\ndefine(String.prototype, \"padRight\", \"\".padEnd);\n\n\"pop,reverse,shift,keys,values,entries,indexOf,every,some,forEach,map,filter,find,findIndex,includes,join,slice,concat,push,splice,unshift,sort,lastIndexOf,reduce,reduceRight,copyWithin,fill\".split(\",\").forEach(function (key) {\n  [][key] && define(Array, key, Function.call.bind([][key]));\n});","export default class ScrollSpy {\n    constructor(args) {\n\n        this.doc = document;\n        this.nav = this.doc.querySelectorAll(args.navSelector);\n\n        if(!this.nav.length === 0) { return }\n\n        this.win = window;\n        this.winHeight = this.win.innerHeight;\n\n        this.scrollElement = this.doc.querySelector(args.scrollSelector);\n        this.className = args.className;\n        this.offsetTop = args.offsetTop || 0;\n\n        this.contents = [];\n        this.contents = this.getContents(args.contentSelector);\n\n        this.attachEvent();\n    }\n\n    attachEvent() {\n        let scrollTimer;\n        this.scrollElement.addEventListener('scroll', () => {\n            if (scrollTimer) {\n                clearTimeout(scrollTimer);\n            }\n\n            scrollTimer = setTimeout(() => {\n                this.spy();\n            }, 1);\n        });\n\n        let resizeTimer;\n        this.scrollElement.addEventListener('resize', () => {\n            if (resizeTimer) {\n                clearTimeout(resizeTimer);\n            }\n\n            resizeTimer = setTimeout(() => {\n                this.spy();\n            }, 1);\n        });\n\n    }\n\n    getContents(contentSelector) {\n        const targets = [];\n        for (let i = 0, max = this.nav.length; i < max; i++) {\n            const href = this.nav[i].href;\n            targets.push(this.doc.getElementById(href.split('#')[1]));\n        }\n        return targets;\n    }\n\n    spy() {\n        let elements = this.getViewState();\n        this.toggleNavClass(elements);\n    }\n\n    getViewState() {\n        const elementListInView = [];\n        for (let i = 0, max = this.contents.length; i < max; i++) {\n            const current = this.contents[i];\n            if (current && this.isView(current)) {\n                elementListInView.push(current);\n            }\n        }\n\n        return elementListInView;\n    }\n\n    isView(element) {\n        const scrollTop = this.scrollElement.scrollTop;\n        const calcBotom = scrollTop + this.offsetTop;\n        const rect = element.getBoundingClientRect();\n        const elementTop = rect.top + scrollTop;\n        const elementBottom = elementTop + element.offsetHeight;\n\n        return elementTop <= calcBotom + this.offsetTop && elementBottom > scrollTop + this.offsetTop;\n    }\n\n    toggleNavClass(elements) {\n        let maxDepth = 0;\n        let maxDepthElement = $();\n\n        for (let i = 0, max = elements.length; i < max; i++) {\n            const el = elements[i];\n            const tempDepth = this.getTagDepth(el);\n            if (maxDepth < tempDepth) {\n                maxDepth = tempDepth;\n                maxDepthElement = el;\n            }\n        }\n\n        for (let i = 0, max = this.nav.length; i < max; i++) {\n            const navElement = this.nav[i];\n            if (navElement.href.split('#')[1] === maxDepthElement.id) {\n                navElement.classList.add(this.className);\n                navElement.classList.add('mdl-color-text--primary');\n            } else {\n                navElement.classList.remove(this.className);\n                navElement.classList.remove('mdl-color-text--primary');\n            }\n        }\n    }\n\n    getTagDepth(element) {\n        return parseInt($(element).find('h1,h2,h3,h4,h5,h6').get(0).tagName.split('H')[1]);\n    }\n}\n","export default class AdjustHeight {\n    \n    constructor() {\n        this.header = $('header.mdl-layout__header');\n        this.pagenation = $('div.pagenation');\n        this.footer = $('footer.mdl-mini-footer');\n        this.win = $(window);\n        this.scrollElement = $('main');\n        this.content = $('.page-content');\n        this.outline = $('.side-doc-outline--content');\n\n        this.attachEvent();\n        this.adjust();\n    }\n\n    adjust() {\n        this.setPageContentMinHeight();\n        this.setLocaltocHeight();\n    }\n\n    setPageContentMinHeight() {\n        const winH = this.win.innerHeight();\n        const headerHeight = this.header.outerHeight();\n        const footerHeight = this.footer.outerHeight(true) + this.pagenation.outerHeight(true);\n\n        this.content.css('min-height', this.win.innerHeight() - headerHeight - footerHeight);\n    }\n\n    setLocaltocHeight() {\n        const pagenationPotisionTop = this.pagenation.position().top + parseInt(this.pagenation.css('margin-top'), 10);\n        const outlineBottom = this.scrollElement.scrollTop() + this.content.outerHeight();\n        const winH = this.win.innerHeight() - this.header.outerHeight();\n\n        let min = 0;\n        min = outlineBottom > pagenationPotisionTop ? pagenationPotisionTop : outlineBottom;\n        min = min > winH ? winH : min;\n        this.outline.css('height', min);\n    }\n\n    attachEvent() {\n        let scrollTimer;\n        this.scrollElement.on('scroll', () => {\n            if (scrollTimer) {\n                clearTimeout(scrollTimer);\n            }\n\n            scrollTimer = setTimeout(() => {\n                this.adjust();\n            }, 1);\n        });\n\n        let resizeTimer;\n        this.win.on('resize', () => {\n            if (resizeTimer) {\n                clearTimeout(resizeTimer);\n            }\n\n            resizeTimer = setTimeout(() => {\n                this.adjust();\n            }, 1);\n        });\n    }\n}","import \"../scss/sphinx_materialdesign_theme.scss\";\r\nimport \"material-design-lite\";\r\nimport \"babel-polyfill\";\r\nimport ScrollSpy from \"./scrollspy\";\r\nimport AdjustHeight from \"./adjust-height\";\r\n\r\n$(function() {\r\n\r\n    function reconstructionDrawerGlobalToc() {\r\n        const $globaltoc = $('.mdl-layout__drawer nav');\r\n        const $lists = $globaltoc.find('li');\r\n        $.each($lists, function(index, li) {\r\n            const $li = $(li);\r\n            const $linkWrapper = $('<span class=\"link-wrapper\"></span>');\r\n            const $link = $li.children('a');\r\n            $li.append($linkWrapper.append($link));\r\n\r\n            const isCurrent = $li.hasClass('current') && !$link.hasClass('current');\r\n            const $ul = $li.children('ul');\r\n            if ($ul.length) {\r\n                const ulId = `globalnav-${index}`;\r\n                $ul.attr('id', ulId);\r\n                $ul.addClass('collapse');\r\n                const $toggleWrapper = $('<span class=\"nav-toggle\"></span>');\r\n                if (isCurrent) {\r\n                    $ul.addClass('show');\r\n                    $toggleWrapper.addClass('show');\r\n                } else {\r\n                    $ul.hide();\r\n                }\r\n\r\n                $li.append(\r\n                    $linkWrapper.append(\r\n                        $toggleWrapper.append(\r\n                            $(`<a class=\"mdl-button mdl-js-button mdl-button--icon\" data-toggle=\"#${ulId}\"><span style=\"color: #888\"><i class=\"material-icons\">keyboard_arrow_down</i></span></span>`)\r\n                        )\r\n                    )\r\n                ).append($ul);\r\n            }\r\n        });\r\n    }\r\n\r\n    function collapse() {\r\n        $('.mdl-layout__drawer nav .nav-toggle a').click(function() {\r\n            const $toggle = $(this);\r\n            const id = $toggle.attr('data-toggle');\r\n            $(`ul${id}`).toggleClass('show').animate({height: \"toggle\", opacity: \"toggle\"});\r\n            $toggle.parent().toggleClass('show');\r\n        });\r\n    }\r\n\r\n    function styleMdlCodeBlock() {\r\n        $('pre').hover(function() {\r\n            $(this).attr('click-to-copy', 'click to copy...');\r\n        });\r\n        $('pre').click(function(){\r\n            var result = copyClipboard(this);\r\n            if (result) {\r\n                $(this).attr('click-to-copy', 'copied!');\r\n            }\r\n        });\r\n    }\r\n\r\n    function copyClipboard(selector) {\r\n        var body = document.body;\r\n        if(!body) return false;\r\n\r\n        var $target = $(selector);\r\n        if ($target.length === 0) { return false; }\r\n\r\n        var text = $target.text();\r\n        var textarea = document.createElement('textarea');\r\n        textarea.value = text;\r\n        document.body.appendChild(textarea);\r\n        textarea.select();\r\n        var result = document.execCommand('copy');\r\n        document.body.removeChild(textarea);\r\n        return result;\r\n    }\r\n\r\n    function quickSearchClickEvent() {\r\n        const $breadcrumb = $('.breadcrumb');\r\n\r\n        $('#waterfall-exp').focus(() => {\r\n            if ($(window).width() <= 1024) {\r\n                $breadcrumb.hide();\r\n            }\r\n        }).blur(() => {\r\n            if ($(window).width() <= 1024) {\r\n                $breadcrumb.show();\r\n            }\r\n        });\r\n    }\r\n\r\n    // styleMdlCodeBlock();\r\n\r\n    reconstructionDrawerGlobalToc();\r\n    collapse();\r\n    quickSearchClickEvent();\r\n\r\n\r\n    const spy = new ScrollSpy({\r\n        contentSelector: '.page-content .section',\r\n        navSelector: '.localtoc a',\r\n        scrollSelector: 'main' ,\r\n        className: 'current',\r\n        offsetTop: 64});\r\n\r\n    $('.mdl-layout__content').focus();\r\n\r\n    $('.mx-card').each(function(){\r\n        $(this).addClass('mdl-card mdl-shadow--2dp');\r\n    });\r\n    $('.mx-card .mx-card-title').each(function(){\r\n        $(this).addClass('mdl-card__title');\r\n    });\r\n    $('.mx-card .mx-card-text').each(function(){\r\n        $(this).addClass('mdl-card__supporting-text');\r\n    });\r\n    $('.mx-card-link').each(function(){\r\n        $(this).hide();\r\n    });\r\n    $('.mdl-card').each(function(){\r\n        $(this).click(function() {\r\n            var url = $(this).find('.mx-card-link').text();\r\n            if (url) {\r\n                window.location = url;\r\n            }\r\n            return true;\r\n        });\r\n    });\r\n\r\n    $('a.download').each(function() {\r\n        // button\r\n        var button = document.createElement('button');\r\n        button.className = 'download mdl-button mdl-js-button mdl-button--fab mdl-js-ripple-effect';\r\n\r\n        // icon\r\n        var icon = document.createElement('i');\r\n        icon.className = 'material-icons';\r\n        var text = document.createTextNode('file_download');\r\n        icon.appendChild(text);\r\n        button.appendChild(icon);\r\n\r\n        // link\r\n        var link = $(this).attr('href');\r\n        button.onclick = function() {\r\n            window.location = link;\r\n        };\r\n        var fileName = link.split(\"/\").slice(-1).pop();\r\n        if (fileName) {\r\n            button.id = fileName.replace('.', '-');\r\n        } else {\r\n            button.id = 'download-button-' + $(this).index();\r\n        }\r\n\r\n        // hint\r\n        var hint = document.createElement('div');\r\n        hint.className = 'mdl-tooltip';\r\n        hint.setAttribute('data-mdl-for', button.id);\r\n        var hintText = 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\ No newline at end of file
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* Licensed to the Apache Software Foundation (ASF) under one\n * or more contributor license agreements.  See the NOTICE file\n * distributed with this work for additional information\n * regarding copyright ownership.  The ASF licenses this file\n * to you under the Apache License, Version 2.0 (the\n * \"License\"); you may not use this file except in compliance\n * with the License.  You may obtain a copy of the License at\n *\n *   http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing,\n * software distributed under the License is distributed on an\n * \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n * KIND, either express or implied.  See the License for the\n * specific language governing permissions and limitations\n * under the License.\n */\n\n$(document).ready(function() {\n  $(\".feedback-answer\").on(\"click\", function () {\n    $(\".feedback-question\").remove();\n    $(\".feedback-answer-container\").remove();\n    $(\".feedback-thank-you\").show();\n    ga(\"send\", {\n      hitType: \"event\",\n      eventCategory: \"Did this page help you?\",\n      eventAction: $(this).attr(\"data-response\"),\n      eventLabel: window.location.pathname || \"unknown\",\n      eventValue: $(this).attr(\"data-response\") === \"yes\" ? 1 : 0\n    });\n  });\n});\n","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Ripple MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialRipple = function MaterialRipple(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialRipple'] = MaterialRipple;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialRipple.prototype.Constant_ = {\n    INITIAL_SCALE: 'scale(0.0001, 0.0001)',\n    INITIAL_SIZE: '1px',\n    INITIAL_OPACITY: '0.4',\n    FINAL_OPACITY: '0',\n    FINAL_SCALE: ''\n};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialRipple.prototype.CssClasses_ = {\n    RIPPLE_CENTER: 'mdl-ripple--center',\n    RIPPLE_EFFECT_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events',\n    RIPPLE: 'mdl-ripple',\n    IS_ANIMATING: 'is-animating',\n    IS_VISIBLE: 'is-visible'\n};\n/**\n   * Handle mouse / finger down on element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialRipple.prototype.downHandler_ = function (event) {\n    if (!this.rippleElement_.style.width && !this.rippleElement_.style.height) {\n        var rect = this.element_.getBoundingClientRect();\n        this.boundHeight = rect.height;\n        this.boundWidth = rect.width;\n        this.rippleSize_ = Math.sqrt(rect.width * rect.width + rect.height * rect.height) * 2 + 2;\n        this.rippleElement_.style.width = this.rippleSize_ + 'px';\n        this.rippleElement_.style.height = this.rippleSize_ + 'px';\n    }\n    this.rippleElement_.classList.add(this.CssClasses_.IS_VISIBLE);\n    if (event.type === 'mousedown' && this.ignoringMouseDown_) {\n        this.ignoringMouseDown_ = false;\n    } else {\n        if (event.type === 'touchstart') {\n            this.ignoringMouseDown_ = true;\n        }\n        var frameCount = this.getFrameCount();\n        if (frameCount > 0) {\n            return;\n        }\n        this.setFrameCount(1);\n        var bound = event.currentTarget.getBoundingClientRect();\n        var x;\n        var y;\n        // Check if we are handling a keyboard click.\n        if (event.clientX === 0 && event.clientY === 0) {\n            x = Math.round(bound.width / 2);\n            y = Math.round(bound.height / 2);\n        } else {\n            var clientX = event.clientX !== undefined ? event.clientX : event.touches[0].clientX;\n            var clientY = event.clientY !== undefined ? event.clientY : event.touches[0].clientY;\n            x = Math.round(clientX - bound.left);\n            y = Math.round(clientY - bound.top);\n        }\n        this.setRippleXY(x, y);\n        this.setRippleStyles(true);\n        window.requestAnimationFrame(this.animFrameHandler.bind(this));\n    }\n};\n/**\n   * Handle mouse / finger up on element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialRipple.prototype.upHandler_ = function (event) {\n    // Don't fire for the artificial \"mouseup\" generated by a double-click.\n    if (event && event.detail !== 2) {\n        // Allow a repaint to occur before removing this class, so the animation\n        // shows for tap events, which seem to trigger a mouseup too soon after\n        // mousedown.\n        window.setTimeout(function () {\n            this.rippleElement_.classList.remove(this.CssClasses_.IS_VISIBLE);\n        }.bind(this), 0);\n    }\n};\n/**\n   * Initialize element.\n   */\nMaterialRipple.prototype.init = function () {\n    if (this.element_) {\n        var recentering = this.element_.classList.contains(this.CssClasses_.RIPPLE_CENTER);\n        if (!this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT_IGNORE_EVENTS)) {\n            this.rippleElement_ = this.element_.querySelector('.' + this.CssClasses_.RIPPLE);\n            this.frameCount_ = 0;\n            this.rippleSize_ = 0;\n            this.x_ = 0;\n            this.y_ = 0;\n            // Touch start produces a compat mouse down event, which would cause a\n            // second ripples. To avoid that, we use this property to ignore the first\n            // mouse down after a touch start.\n            this.ignoringMouseDown_ = false;\n            this.boundDownHandler = this.downHandler_.bind(this);\n            this.element_.addEventListener('mousedown', this.boundDownHandler);\n            this.element_.addEventListener('touchstart', this.boundDownHandler);\n            this.boundUpHandler = this.upHandler_.bind(this);\n            this.element_.addEventListener('mouseup', this.boundUpHandler);\n            this.element_.addEventListener('mouseleave', this.boundUpHandler);\n            this.element_.addEventListener('touchend', this.boundUpHandler);\n            this.element_.addEventListener('blur', this.boundUpHandler);\n            /**\n         * Getter for frameCount_.\n         * @return {number} the frame count.\n         */\n            this.getFrameCount = function () {\n                return this.frameCount_;\n            };\n            /**\n         * Setter for frameCount_.\n         * @param {number} fC the frame count.\n         */\n            this.setFrameCount = function (fC) {\n                this.frameCount_ = fC;\n            };\n            /**\n         * Getter for rippleElement_.\n         * @return {Element} the ripple element.\n         */\n            this.getRippleElement = function () {\n                return this.rippleElement_;\n            };\n            /**\n         * Sets the ripple X and Y coordinates.\n         * @param  {number} newX the new X coordinate\n         * @param  {number} newY the new Y coordinate\n         */\n            this.setRippleXY = function (newX, newY) {\n                this.x_ = newX;\n                this.y_ = newY;\n            };\n            /**\n         * Sets the ripple styles.\n         * @param  {boolean} start whether or not this is the start frame.\n         */\n            this.setRippleStyles = function (start) {\n                if (this.rippleElement_ !== null) {\n                    var transformString;\n                    var scale;\n                    var size;\n                    var offset = 'translate(' + this.x_ + 'px, ' + this.y_ + 'px)';\n                    if (start) {\n                        scale = this.Constant_.INITIAL_SCALE;\n                        size = this.Constant_.INITIAL_SIZE;\n                    } else {\n                        scale = this.Constant_.FINAL_SCALE;\n                        size = this.rippleSize_ + 'px';\n                        if (recentering) {\n                            offset = 'translate(' + this.boundWidth / 2 + 'px, ' + this.boundHeight / 2 + 'px)';\n                        }\n                    }\n                    transformString = 'translate(-50%, -50%) ' + offset + scale;\n                    this.rippleElement_.style.webkitTransform = transformString;\n                    this.rippleElement_.style.msTransform = transformString;\n                    this.rippleElement_.style.transform = transformString;\n                    if (start) {\n                        this.rippleElement_.classList.remove(this.CssClasses_.IS_ANIMATING);\n                    } else {\n                        this.rippleElement_.classList.add(this.CssClasses_.IS_ANIMATING);\n                    }\n                }\n            };\n            /**\n         * Handles an animation frame.\n         */\n            this.animFrameHandler = function () {\n                if (this.frameCount_-- > 0) {\n                    window.requestAnimationFrame(this.animFrameHandler.bind(this));\n                } else {\n                    this.setRippleStyles(false);\n                }\n            };\n        }\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialRipple,\n    classAsString: 'MaterialRipple',\n    cssClass: 'mdl-js-ripple-effect',\n    widget: false\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Tabs MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {Element} element The element that will be upgraded.\n   */\nvar MaterialTabs = function MaterialTabs(element) {\n    // Stores the HTML element.\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialTabs'] = MaterialTabs;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialTabs.prototype.Constant_ = {};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialTabs.prototype.CssClasses_ = {\n    TAB_CLASS: 'mdl-tabs__tab',\n    PANEL_CLASS: 'mdl-tabs__panel',\n    ACTIVE_CLASS: 'is-active',\n    UPGRADED_CLASS: 'is-upgraded',\n    MDL_JS_RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    MDL_RIPPLE_CONTAINER: 'mdl-tabs__ripple-container',\n    MDL_RIPPLE: 'mdl-ripple',\n    MDL_JS_RIPPLE_EFFECT_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events'\n};\n/**\n   * Handle clicks to a tabs component\n   *\n   * @private\n   */\nMaterialTabs.prototype.initTabs_ = function () {\n    if (this.element_.classList.contains(this.CssClasses_.MDL_JS_RIPPLE_EFFECT)) {\n        this.element_.classList.add(this.CssClasses_.MDL_JS_RIPPLE_EFFECT_IGNORE_EVENTS);\n    }\n    // Select element tabs, document panels\n    this.tabs_ = this.element_.querySelectorAll('.' + this.CssClasses_.TAB_CLASS);\n    this.panels_ = this.element_.querySelectorAll('.' + this.CssClasses_.PANEL_CLASS);\n    // Create new tabs for each tab element\n    for (var i = 0; i < this.tabs_.length; i++) {\n        new MaterialTab(this.tabs_[i], this);\n    }\n    this.element_.classList.add(this.CssClasses_.UPGRADED_CLASS);\n};\n/**\n   * Reset tab state, dropping active classes\n   *\n   * @private\n   */\nMaterialTabs.prototype.resetTabState_ = function () {\n    for (var k = 0; k < this.tabs_.length; k++) {\n        this.tabs_[k].classList.remove(this.CssClasses_.ACTIVE_CLASS);\n    }\n};\n/**\n   * Reset panel state, droping active classes\n   *\n   * @private\n   */\nMaterialTabs.prototype.resetPanelState_ = function () {\n    for (var j = 0; j < this.panels_.length; j++) {\n        this.panels_[j].classList.remove(this.CssClasses_.ACTIVE_CLASS);\n    }\n};\n/**\n   * Initialize element.\n   */\nMaterialTabs.prototype.init = function () {\n    if (this.element_) {\n        this.initTabs_();\n    }\n};\n/**\n   * Constructor for an individual tab.\n   *\n   * @constructor\n   * @param {Element} tab The HTML element for the tab.\n   * @param {MaterialTabs} ctx The MaterialTabs object that owns the tab.\n   */\nfunction MaterialTab(tab, ctx) {\n    if (tab) {\n        if (ctx.element_.classList.contains(ctx.CssClasses_.MDL_JS_RIPPLE_EFFECT)) {\n            var rippleContainer = document.createElement('span');\n            rippleContainer.classList.add(ctx.CssClasses_.MDL_RIPPLE_CONTAINER);\n            rippleContainer.classList.add(ctx.CssClasses_.MDL_JS_RIPPLE_EFFECT);\n            var ripple = document.createElement('span');\n            ripple.classList.add(ctx.CssClasses_.MDL_RIPPLE);\n            rippleContainer.appendChild(ripple);\n            tab.appendChild(rippleContainer);\n        }\n        tab.addEventListener('click', function (e) {\n            if (tab.getAttribute('href').charAt(0) === '#') {\n                e.preventDefault();\n                var href = tab.href.split('#')[1];\n                var panel = ctx.element_.querySelector('#' + href);\n                ctx.resetTabState_();\n                ctx.resetPanelState_();\n                tab.classList.add(ctx.CssClasses_.ACTIVE_CLASS);\n                panel.classList.add(ctx.CssClasses_.ACTIVE_CLASS);\n            }\n        });\n    }\n}\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialTabs,\n    classAsString: 'MaterialTabs',\n    cssClass: 'mdl-js-tabs'\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Layout MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialLayout = function MaterialLayout(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialLayout'] = MaterialLayout;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialLayout.prototype.Constant_ = {\n    MAX_WIDTH: '(max-width: 1024px)',\n    TAB_SCROLL_PIXELS: 100,\n    RESIZE_TIMEOUT: 100,\n    MENU_ICON: '&#xE5D2;',\n    CHEVRON_LEFT: 'chevron_left',\n    CHEVRON_RIGHT: 'chevron_right'\n};\n/**\n   * Keycodes, for code readability.\n   *\n   * @enum {number}\n   * @private\n   */\nMaterialLayout.prototype.Keycodes_ = {\n    ENTER: 13,\n    ESCAPE: 27,\n    SPACE: 32\n};\n/**\n   * Modes.\n   *\n   * @enum {number}\n   * @private\n   */\nMaterialLayout.prototype.Mode_ = {\n    STANDARD: 0,\n    SEAMED: 1,\n    WATERFALL: 2,\n    SCROLL: 3\n};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialLayout.prototype.CssClasses_ = {\n    CONTAINER: 'mdl-layout__container',\n    HEADER: 'mdl-layout__header',\n    DRAWER: 'mdl-layout__drawer',\n    CONTENT: 'mdl-layout__content',\n    DRAWER_BTN: 'mdl-layout__drawer-button',\n    ICON: 'material-icons',\n    JS_RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    RIPPLE_CONTAINER: 'mdl-layout__tab-ripple-container',\n    RIPPLE: 'mdl-ripple',\n    RIPPLE_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events',\n    HEADER_SEAMED: 'mdl-layout__header--seamed',\n    HEADER_WATERFALL: 'mdl-layout__header--waterfall',\n    HEADER_SCROLL: 'mdl-layout__header--scroll',\n    FIXED_HEADER: 'mdl-layout--fixed-header',\n    OBFUSCATOR: 'mdl-layout__obfuscator',\n    TAB_BAR: 'mdl-layout__tab-bar',\n    TAB_CONTAINER: 'mdl-layout__tab-bar-container',\n    TAB: 'mdl-layout__tab',\n    TAB_BAR_BUTTON: 'mdl-layout__tab-bar-button',\n    TAB_BAR_LEFT_BUTTON: 'mdl-layout__tab-bar-left-button',\n    TAB_BAR_RIGHT_BUTTON: 'mdl-layout__tab-bar-right-button',\n    TAB_MANUAL_SWITCH: 'mdl-layout__tab-manual-switch',\n    PANEL: 'mdl-layout__tab-panel',\n    HAS_DRAWER: 'has-drawer',\n    HAS_TABS: 'has-tabs',\n    HAS_SCROLLING_HEADER: 'has-scrolling-header',\n    CASTING_SHADOW: 'is-casting-shadow',\n    IS_COMPACT: 'is-compact',\n    IS_SMALL_SCREEN: 'is-small-screen',\n    IS_DRAWER_OPEN: 'is-visible',\n    IS_ACTIVE: 'is-active',\n    IS_UPGRADED: 'is-upgraded',\n    IS_ANIMATING: 'is-animating',\n    ON_LARGE_SCREEN: 'mdl-layout--large-screen-only',\n    ON_SMALL_SCREEN: 'mdl-layout--small-screen-only'\n};\n/**\n   * Handles scrolling on the content.\n   *\n   * @private\n   */\nMaterialLayout.prototype.contentScrollHandler_ = function () {\n    if (this.header_.classList.contains(this.CssClasses_.IS_ANIMATING)) {\n        return;\n    }\n    var headerVisible = !this.element_.classList.contains(this.CssClasses_.IS_SMALL_SCREEN) || this.element_.classList.contains(this.CssClasses_.FIXED_HEADER);\n    if (this.content_.scrollTop > 0 && !this.header_.classList.contains(this.CssClasses_.IS_COMPACT)) {\n        this.header_.classList.add(this.CssClasses_.CASTING_SHADOW);\n        this.header_.classList.add(this.CssClasses_.IS_COMPACT);\n        if (headerVisible) {\n            this.header_.classList.add(this.CssClasses_.IS_ANIMATING);\n        }\n    } else if (this.content_.scrollTop <= 0 && this.header_.classList.contains(this.CssClasses_.IS_COMPACT)) {\n        this.header_.classList.remove(this.CssClasses_.CASTING_SHADOW);\n        this.header_.classList.remove(this.CssClasses_.IS_COMPACT);\n        if (headerVisible) {\n            this.header_.classList.add(this.CssClasses_.IS_ANIMATING);\n        }\n    }\n};\n/**\n   * Handles a keyboard event on the drawer.\n   *\n   * @param {Event} evt The event that fired.\n   * @private\n   */\nMaterialLayout.prototype.keyboardEventHandler_ = function (evt) {\n    // Only react when the drawer is open.\n    if (evt.keyCode === this.Keycodes_.ESCAPE && this.drawer_.classList.contains(this.CssClasses_.IS_DRAWER_OPEN)) {\n        this.toggleDrawer();\n    }\n};\n/**\n   * Handles changes in screen size.\n   *\n   * @private\n   */\nMaterialLayout.prototype.screenSizeHandler_ = function () {\n    if (this.screenSizeMediaQuery_.matches) {\n        this.element_.classList.add(this.CssClasses_.IS_SMALL_SCREEN);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_SMALL_SCREEN);\n        // Collapse drawer (if any) when moving to a large screen size.\n        if (this.drawer_) {\n            this.drawer_.classList.remove(this.CssClasses_.IS_DRAWER_OPEN);\n            this.obfuscator_.classList.remove(this.CssClasses_.IS_DRAWER_OPEN);\n        }\n    }\n};\n/**\n   * Handles events of drawer button.\n   *\n   * @param {Event} evt The event that fired.\n   * @private\n   */\nMaterialLayout.prototype.drawerToggleHandler_ = function (evt) {\n    if (evt && evt.type === 'keydown') {\n        if (evt.keyCode === this.Keycodes_.SPACE || evt.keyCode === this.Keycodes_.ENTER) {\n            // prevent scrolling in drawer nav\n            evt.preventDefault();\n        } else {\n            // prevent other keys\n            return;\n        }\n    }\n    this.toggleDrawer();\n};\n/**\n   * Handles (un)setting the `is-animating` class\n   *\n   * @private\n   */\nMaterialLayout.prototype.headerTransitionEndHandler_ = function () {\n    this.header_.classList.remove(this.CssClasses_.IS_ANIMATING);\n};\n/**\n   * Handles expanding the header on click\n   *\n   * @private\n   */\nMaterialLayout.prototype.headerClickHandler_ = function () {\n    if (this.header_.classList.contains(this.CssClasses_.IS_COMPACT)) {\n        this.header_.classList.remove(this.CssClasses_.IS_COMPACT);\n        this.header_.classList.add(this.CssClasses_.IS_ANIMATING);\n    }\n};\n/**\n   * Reset tab state, dropping active classes\n   *\n   * @private\n   */\nMaterialLayout.prototype.resetTabState_ = function (tabBar) {\n    for (var k = 0; k < tabBar.length; k++) {\n        tabBar[k].classList.remove(this.CssClasses_.IS_ACTIVE);\n    }\n};\n/**\n   * Reset panel state, droping active classes\n   *\n   * @private\n   */\nMaterialLayout.prototype.resetPanelState_ = function (panels) {\n    for (var j = 0; j < panels.length; j++) {\n        panels[j].classList.remove(this.CssClasses_.IS_ACTIVE);\n    }\n};\n/**\n  * Toggle drawer state\n  *\n  * @public\n  */\nMaterialLayout.prototype.toggleDrawer = function () {\n    var drawerButton = this.element_.querySelector('.' + this.CssClasses_.DRAWER_BTN);\n    this.drawer_.classList.toggle(this.CssClasses_.IS_DRAWER_OPEN);\n    this.obfuscator_.classList.toggle(this.CssClasses_.IS_DRAWER_OPEN);\n    // Set accessibility properties.\n    if (this.drawer_.classList.contains(this.CssClasses_.IS_DRAWER_OPEN)) {\n        this.drawer_.setAttribute('aria-hidden', 'false');\n        drawerButton.setAttribute('aria-expanded', 'true');\n    } else {\n        this.drawer_.setAttribute('aria-hidden', 'true');\n        drawerButton.setAttribute('aria-expanded', 'false');\n    }\n};\nMaterialLayout.prototype['toggleDrawer'] = MaterialLayout.prototype.toggleDrawer;\n/**\n   * Initialize element.\n   */\nMaterialLayout.prototype.init = function () {\n    if (this.element_) {\n        var container = document.createElement('div');\n        container.classList.add(this.CssClasses_.CONTAINER);\n        var focusedElement = this.element_.querySelector(':focus');\n        this.element_.parentElement.insertBefore(container, this.element_);\n        this.element_.parentElement.removeChild(this.element_);\n        container.appendChild(this.element_);\n        if (focusedElement) {\n            focusedElement.focus();\n        }\n        var directChildren = this.element_.childNodes;\n        var numChildren = directChildren.length;\n        for (var c = 0; c < numChildren; c++) {\n            var child = directChildren[c];\n            if (child.classList && child.classList.contains(this.CssClasses_.HEADER)) {\n                this.header_ = child;\n            }\n            if (child.classList && child.classList.contains(this.CssClasses_.DRAWER)) {\n                this.drawer_ = child;\n            }\n            if (child.classList && child.classList.contains(this.CssClasses_.CONTENT)) {\n                this.content_ = child;\n            }\n        }\n        window.addEventListener('pageshow', function (e) {\n            if (e.persisted) {\n                // when page is loaded from back/forward cache\n                // trigger repaint to let layout scroll in safari\n                this.element_.style.overflowY = 'hidden';\n                requestAnimationFrame(function () {\n                    this.element_.style.overflowY = '';\n                }.bind(this));\n            }\n        }.bind(this), false);\n        if (this.header_) {\n            this.tabBar_ = this.header_.querySelector('.' + this.CssClasses_.TAB_BAR);\n        }\n        var mode = this.Mode_.STANDARD;\n        if (this.header_) {\n            if (this.header_.classList.contains(this.CssClasses_.HEADER_SEAMED)) {\n                mode = this.Mode_.SEAMED;\n            } else if (this.header_.classList.contains(this.CssClasses_.HEADER_WATERFALL)) {\n                mode = this.Mode_.WATERFALL;\n                this.header_.addEventListener('transitionend', this.headerTransitionEndHandler_.bind(this));\n                this.header_.addEventListener('click', this.headerClickHandler_.bind(this));\n            } else if (this.header_.classList.contains(this.CssClasses_.HEADER_SCROLL)) {\n                mode = this.Mode_.SCROLL;\n                container.classList.add(this.CssClasses_.HAS_SCROLLING_HEADER);\n            }\n            if (mode === this.Mode_.STANDARD) {\n                this.header_.classList.add(this.CssClasses_.CASTING_SHADOW);\n                if (this.tabBar_) {\n                    this.tabBar_.classList.add(this.CssClasses_.CASTING_SHADOW);\n                }\n            } else if (mode === this.Mode_.SEAMED || mode === this.Mode_.SCROLL) {\n                this.header_.classList.remove(this.CssClasses_.CASTING_SHADOW);\n                if (this.tabBar_) {\n                    this.tabBar_.classList.remove(this.CssClasses_.CASTING_SHADOW);\n                }\n            } else if (mode === this.Mode_.WATERFALL) {\n                // Add and remove shadows depending on scroll position.\n                // Also add/remove auxiliary class for styling of the compact version of\n                // the header.\n                this.content_.addEventListener('scroll', this.contentScrollHandler_.bind(this));\n                this.contentScrollHandler_();\n            }\n        }\n        // Add drawer toggling button to our layout, if we have an openable drawer.\n        if (this.drawer_) {\n            var drawerButton = this.element_.querySelector('.' + this.CssClasses_.DRAWER_BTN);\n            if (!drawerButton) {\n                drawerButton = document.createElement('div');\n                drawerButton.setAttribute('aria-expanded', 'false');\n                drawerButton.setAttribute('role', 'button');\n                drawerButton.setAttribute('tabindex', '0');\n                drawerButton.classList.add(this.CssClasses_.DRAWER_BTN);\n                var drawerButtonIcon = document.createElement('i');\n                drawerButtonIcon.classList.add(this.CssClasses_.ICON);\n                drawerButtonIcon.innerHTML = this.Constant_.MENU_ICON;\n                drawerButton.appendChild(drawerButtonIcon);\n            }\n            if (this.drawer_.classList.contains(this.CssClasses_.ON_LARGE_SCREEN)) {\n                //If drawer has ON_LARGE_SCREEN class then add it to the drawer toggle button as well.\n                drawerButton.classList.add(this.CssClasses_.ON_LARGE_SCREEN);\n            } else if (this.drawer_.classList.contains(this.CssClasses_.ON_SMALL_SCREEN)) {\n                //If drawer has ON_SMALL_SCREEN class then add it to the drawer toggle button as well.\n                drawerButton.classList.add(this.CssClasses_.ON_SMALL_SCREEN);\n            }\n            drawerButton.addEventListener('click', this.drawerToggleHandler_.bind(this));\n            drawerButton.addEventListener('keydown', this.drawerToggleHandler_.bind(this));\n            // Add a class if the layout has a drawer, for altering the left padding.\n            // Adds the HAS_DRAWER to the elements since this.header_ may or may\n            // not be present.\n            this.element_.classList.add(this.CssClasses_.HAS_DRAWER);\n            // If we have a fixed header, add the button to the header rather than\n            // the layout.\n            if (this.element_.classList.contains(this.CssClasses_.FIXED_HEADER)) {\n                this.header_.insertBefore(drawerButton, this.header_.firstChild);\n            } else {\n                this.element_.insertBefore(drawerButton, this.content_);\n            }\n            var obfuscator = document.createElement('div');\n            obfuscator.classList.add(this.CssClasses_.OBFUSCATOR);\n            this.element_.appendChild(obfuscator);\n            obfuscator.addEventListener('click', this.drawerToggleHandler_.bind(this));\n            this.obfuscator_ = obfuscator;\n            this.drawer_.addEventListener('keydown', this.keyboardEventHandler_.bind(this));\n            this.drawer_.setAttribute('aria-hidden', 'true');\n        }\n        // Keep an eye on screen size, and add/remove auxiliary class for styling\n        // of small screens.\n        this.screenSizeMediaQuery_ = window.matchMedia(this.Constant_.MAX_WIDTH);\n        this.screenSizeMediaQuery_.addListener(this.screenSizeHandler_.bind(this));\n        this.screenSizeHandler_();\n        // Initialize tabs, if any.\n        if (this.header_ && this.tabBar_) {\n            this.element_.classList.add(this.CssClasses_.HAS_TABS);\n            var tabContainer = document.createElement('div');\n            tabContainer.classList.add(this.CssClasses_.TAB_CONTAINER);\n            this.header_.insertBefore(tabContainer, this.tabBar_);\n            this.header_.removeChild(this.tabBar_);\n            var leftButton = document.createElement('div');\n            leftButton.classList.add(this.CssClasses_.TAB_BAR_BUTTON);\n            leftButton.classList.add(this.CssClasses_.TAB_BAR_LEFT_BUTTON);\n            var leftButtonIcon = document.createElement('i');\n            leftButtonIcon.classList.add(this.CssClasses_.ICON);\n            leftButtonIcon.textContent = this.Constant_.CHEVRON_LEFT;\n            leftButton.appendChild(leftButtonIcon);\n            leftButton.addEventListener('click', function () {\n                this.tabBar_.scrollLeft -= this.Constant_.TAB_SCROLL_PIXELS;\n            }.bind(this));\n            var rightButton = document.createElement('div');\n            rightButton.classList.add(this.CssClasses_.TAB_BAR_BUTTON);\n            rightButton.classList.add(this.CssClasses_.TAB_BAR_RIGHT_BUTTON);\n            var rightButtonIcon = document.createElement('i');\n            rightButtonIcon.classList.add(this.CssClasses_.ICON);\n            rightButtonIcon.textContent = this.Constant_.CHEVRON_RIGHT;\n            rightButton.appendChild(rightButtonIcon);\n            rightButton.addEventListener('click', function () {\n                this.tabBar_.scrollLeft += this.Constant_.TAB_SCROLL_PIXELS;\n            }.bind(this));\n            tabContainer.appendChild(leftButton);\n            tabContainer.appendChild(this.tabBar_);\n            tabContainer.appendChild(rightButton);\n            // Add and remove tab buttons depending on scroll position and total\n            // window size.\n            var tabUpdateHandler = function () {\n                if (this.tabBar_.scrollLeft > 0) {\n                    leftButton.classList.add(this.CssClasses_.IS_ACTIVE);\n                } else {\n                    leftButton.classList.remove(this.CssClasses_.IS_ACTIVE);\n                }\n                if (this.tabBar_.scrollLeft < this.tabBar_.scrollWidth - this.tabBar_.offsetWidth) {\n                    rightButton.classList.add(this.CssClasses_.IS_ACTIVE);\n                } else {\n                    rightButton.classList.remove(this.CssClasses_.IS_ACTIVE);\n                }\n            }.bind(this);\n            this.tabBar_.addEventListener('scroll', tabUpdateHandler);\n            tabUpdateHandler();\n            // Update tabs when the window resizes.\n            var windowResizeHandler = function () {\n                // Use timeouts to make sure it doesn't happen too often.\n                if (this.resizeTimeoutId_) {\n                    clearTimeout(this.resizeTimeoutId_);\n                }\n                this.resizeTimeoutId_ = setTimeout(function () {\n                    tabUpdateHandler();\n                    this.resizeTimeoutId_ = null;\n                }.bind(this), this.Constant_.RESIZE_TIMEOUT);\n            }.bind(this);\n            window.addEventListener('resize', windowResizeHandler);\n            if (this.tabBar_.classList.contains(this.CssClasses_.JS_RIPPLE_EFFECT)) {\n                this.tabBar_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS);\n            }\n            // Select element tabs, document panels\n            var tabs = this.tabBar_.querySelectorAll('.' + this.CssClasses_.TAB);\n            var panels = this.content_.querySelectorAll('.' + this.CssClasses_.PANEL);\n            // Create new tabs for each tab element\n            for (var i = 0; i < tabs.length; i++) {\n                new MaterialLayoutTab(tabs[i], tabs, panels, this);\n            }\n        }\n        this.element_.classList.add(this.CssClasses_.IS_UPGRADED);\n    }\n};\n/**\n   * Constructor for an individual tab.\n   *\n   * @constructor\n   * @param {HTMLElement} tab The HTML element for the tab.\n   * @param {!Array<HTMLElement>} tabs Array with HTML elements for all tabs.\n   * @param {!Array<HTMLElement>} panels Array with HTML elements for all panels.\n   * @param {MaterialLayout} layout The MaterialLayout object that owns the tab.\n   */\nfunction MaterialLayoutTab(tab, tabs, panels, layout) {\n    /**\n     * Auxiliary method to programmatically select a tab in the UI.\n     */\n    function selectTab() {\n        var href = tab.href.split('#')[1];\n        var panel = layout.content_.querySelector('#' + href);\n        layout.resetTabState_(tabs);\n        layout.resetPanelState_(panels);\n        tab.classList.add(layout.CssClasses_.IS_ACTIVE);\n        panel.classList.add(layout.CssClasses_.IS_ACTIVE);\n    }\n    if (layout.tabBar_.classList.contains(layout.CssClasses_.JS_RIPPLE_EFFECT)) {\n        var rippleContainer = document.createElement('span');\n        rippleContainer.classList.add(layout.CssClasses_.RIPPLE_CONTAINER);\n        rippleContainer.classList.add(layout.CssClasses_.JS_RIPPLE_EFFECT);\n        var ripple = document.createElement('span');\n        ripple.classList.add(layout.CssClasses_.RIPPLE);\n        rippleContainer.appendChild(ripple);\n        tab.appendChild(rippleContainer);\n    }\n    if (!layout.tabBar_.classList.contains(layout.CssClasses_.TAB_MANUAL_SWITCH)) {\n        tab.addEventListener('click', function (e) {\n            if (tab.getAttribute('href').charAt(0) === '#') {\n                e.preventDefault();\n                selectTab();\n            }\n        });\n    }\n    tab.show = selectTab;\n}\nwindow['MaterialLayoutTab'] = MaterialLayoutTab;\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialLayout,\n    classAsString: 'MaterialLayout',\n    cssClass: 'mdl-js-layout'\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n/**\n * A component handler interface using the revealing module design pattern.\n * More details on this design pattern here:\n * https://github.com/jasonmayes/mdl-component-design-pattern\n *\n * @author Jason Mayes.\n */\n/* exported componentHandler */\n\n// Pre-defining the componentHandler interface, for closure documentation and\n// static verification.\nvar componentHandler = {\n  /**\n   * Searches existing DOM for elements of our component type and upgrades them\n   * if they have not already been upgraded.\n   *\n   * @param {string=} optJsClass the programatic name of the element class we\n   * need to create a new instance of.\n   * @param {string=} optCssClass the name of the CSS class elements of this\n   * type will have.\n   */\n  upgradeDom: function(optJsClass, optCssClass) {},\n  /**\n   * Upgrades a specific element rather than all in the DOM.\n   *\n   * @param {!Element} element The element we wish to upgrade.\n   * @param {string=} optJsClass Optional name of the class we want to upgrade\n   * the element to.\n   */\n  upgradeElement: function(element, optJsClass) {},\n  /**\n   * Upgrades a specific list of elements rather than all in the DOM.\n   *\n   * @param {!Element|!Array<!Element>|!NodeList|!HTMLCollection} elements\n   * The elements we wish to upgrade.\n   */\n  upgradeElements: function(elements) {},\n  /**\n   * Upgrades all registered components found in the current DOM. This is\n   * automatically called on window load.\n   */\n  upgradeAllRegistered: function() {},\n  /**\n   * Allows user to be alerted to any upgrades that are performed for a given\n   * component type\n   *\n   * @param {string} jsClass The class name of the MDL component we wish\n   * to hook into for any upgrades performed.\n   * @param {function(!HTMLElement)} callback The function to call upon an\n   * upgrade. This function should expect 1 parameter - the HTMLElement which\n   * got upgraded.\n   */\n  registerUpgradedCallback: function(jsClass, callback) {},\n  /**\n   * Registers a class for future use and attempts to upgrade existing DOM.\n   *\n   * @param {componentHandler.ComponentConfigPublic} config the registration configuration\n   */\n  register: function(config) {},\n  /**\n   * Downgrade either a given node, an array of nodes, or a NodeList.\n   *\n   * @param {!Node|!Array<!Node>|!NodeList} nodes\n   */\n  downgradeElements: function(nodes) {}\n};\n\ncomponentHandler = (function() {\n  'use strict';\n\n  /** @type {!Array<componentHandler.ComponentConfig>} */\n  var registeredComponents_ = [];\n\n  /** @type {!Array<componentHandler.Component>} */\n  var createdComponents_ = [];\n\n  var componentConfigProperty_ = 'mdlComponentConfigInternal_';\n\n  /**\n   * Searches registered components for a class we are interested in using.\n   * Optionally replaces a match with passed object if specified.\n   *\n   * @param {string} name The name of a class we want to use.\n   * @param {componentHandler.ComponentConfig=} optReplace Optional object to replace match with.\n   * @return {!Object|boolean}\n   * @private\n   */\n  function findRegisteredClass_(name, optReplace) {\n    for (var i = 0; i < registeredComponents_.length; i++) {\n      if (registeredComponents_[i].className === name) {\n        if (typeof optReplace !== 'undefined') {\n          registeredComponents_[i] = optReplace;\n        }\n        return registeredComponents_[i];\n      }\n    }\n    return false;\n  }\n\n  /**\n   * Returns an array of the classNames of the upgraded classes on the element.\n   *\n   * @param {!Element} element The element to fetch data from.\n   * @return {!Array<string>}\n   * @private\n   */\n  function getUpgradedListOfElement_(element) {\n    var dataUpgraded = element.getAttribute('data-upgraded');\n    // Use `['']` as default value to conform the `,name,name...` style.\n    return dataUpgraded === null ? [''] : dataUpgraded.split(',');\n  }\n\n  /**\n   * Returns true if the given element has already been upgraded for the given\n   * class.\n   *\n   * @param {!Element} element The element we want to check.\n   * @param {string} jsClass The class to check for.\n   * @returns {boolean}\n   * @private\n   */\n  function isElementUpgraded_(element, jsClass) {\n    var upgradedList = getUpgradedListOfElement_(element);\n    return upgradedList.indexOf(jsClass) !== -1;\n  }\n\n  /**\n   * Create an event object.\n   *\n   * @param {string} eventType The type name of the event.\n   * @param {boolean} bubbles Whether the event should bubble up the DOM.\n   * @param {boolean} cancelable Whether the event can be canceled.\n   * @returns {!Event}\n   */\n  function createEvent_(eventType, bubbles, cancelable) {\n    if ('CustomEvent' in window && typeof window.CustomEvent === 'function') {\n      return new CustomEvent(eventType, {\n        bubbles: bubbles,\n        cancelable: cancelable\n      });\n    } else {\n      var ev = document.createEvent('Events');\n      ev.initEvent(eventType, bubbles, cancelable);\n      return ev;\n    }\n  }\n\n  /**\n   * Searches existing DOM for elements of our component type and upgrades them\n   * if they have not already been upgraded.\n   *\n   * @param {string=} optJsClass the programatic name of the element class we\n   * need to create a new instance of.\n   * @param {string=} optCssClass the name of the CSS class elements of this\n   * type will have.\n   */\n  function upgradeDomInternal(optJsClass, optCssClass) {\n    if (typeof optJsClass === 'undefined' &&\n        typeof optCssClass === 'undefined') {\n      for (var i = 0; i < registeredComponents_.length; i++) {\n        upgradeDomInternal(registeredComponents_[i].className,\n            registeredComponents_[i].cssClass);\n      }\n    } else {\n      var jsClass = /** @type {string} */ (optJsClass);\n      if (typeof optCssClass === 'undefined') {\n        var registeredClass = findRegisteredClass_(jsClass);\n        if (registeredClass) {\n          optCssClass = registeredClass.cssClass;\n        }\n      }\n\n      var elements = document.querySelectorAll('.' + optCssClass);\n      for (var n = 0; n < elements.length; n++) {\n        upgradeElementInternal(elements[n], jsClass);\n      }\n    }\n  }\n\n  /**\n   * Upgrades a specific element rather than all in the DOM.\n   *\n   * @param {!Element} element The element we wish to upgrade.\n   * @param {string=} optJsClass Optional name of the class we want to upgrade\n   * the element to.\n   */\n  function upgradeElementInternal(element, optJsClass) {\n    // Verify argument type.\n    if (!(typeof element === 'object' && element instanceof Element)) {\n      throw new Error('Invalid argument provided to upgrade MDL element.');\n    }\n    // Allow upgrade to be canceled by canceling emitted event.\n    var upgradingEv = createEvent_('mdl-componentupgrading', true, true);\n    element.dispatchEvent(upgradingEv);\n    if (upgradingEv.defaultPrevented) {\n      return;\n    }\n\n    var upgradedList = getUpgradedListOfElement_(element);\n    var classesToUpgrade = [];\n    // If jsClass is not provided scan the registered components to find the\n    // ones matching the element's CSS classList.\n    if (!optJsClass) {\n      var classList = element.classList;\n      registeredComponents_.forEach(function(component) {\n        // Match CSS & Not to be upgraded & Not upgraded.\n        if (classList.contains(component.cssClass) &&\n            classesToUpgrade.indexOf(component) === -1 &&\n            !isElementUpgraded_(element, component.className)) {\n          classesToUpgrade.push(component);\n        }\n      });\n    } else if (!isElementUpgraded_(element, optJsClass)) {\n      classesToUpgrade.push(findRegisteredClass_(optJsClass));\n    }\n\n    // Upgrade the element for each classes.\n    for (var i = 0, n = classesToUpgrade.length, registeredClass; i < n; i++) {\n      registeredClass = classesToUpgrade[i];\n      if (registeredClass) {\n        // Mark element as upgraded.\n        upgradedList.push(registeredClass.className);\n        element.setAttribute('data-upgraded', upgradedList.join(','));\n        var instance = new registeredClass.classConstructor(element);\n        instance[componentConfigProperty_] = registeredClass;\n        createdComponents_.push(instance);\n        // Call any callbacks the user has registered with this component type.\n        for (var j = 0, m = registeredClass.callbacks.length; j < m; j++) {\n          registeredClass.callbacks[j](element);\n        }\n\n        if (registeredClass.widget) {\n          // Assign per element instance for control over API\n          element[registeredClass.className] = instance;\n        }\n      } else {\n        throw new Error(\n          'Unable to find a registered component for the given class.');\n      }\n\n      var upgradedEv = createEvent_('mdl-componentupgraded', true, false);\n      element.dispatchEvent(upgradedEv);\n    }\n  }\n\n  /**\n   * Upgrades a specific list of elements rather than all in the DOM.\n   *\n   * @param {!Element|!Array<!Element>|!NodeList|!HTMLCollection} elements\n   * The elements we wish to upgrade.\n   */\n  function upgradeElementsInternal(elements) {\n    if (!Array.isArray(elements)) {\n      if (elements instanceof Element) {\n        elements = [elements];\n      } else {\n        elements = Array.prototype.slice.call(elements);\n      }\n    }\n    for (var i = 0, n = elements.length, element; i < n; i++) {\n      element = elements[i];\n      if (element instanceof HTMLElement) {\n        upgradeElementInternal(element);\n        if (element.children.length > 0) {\n          upgradeElementsInternal(element.children);\n        }\n      }\n    }\n  }\n\n  /**\n   * Registers a class for future use and attempts to upgrade existing DOM.\n   *\n   * @param {componentHandler.ComponentConfigPublic} config\n   */\n  function registerInternal(config) {\n    // In order to support both Closure-compiled and uncompiled code accessing\n    // this method, we need to allow for both the dot and array syntax for\n    // property access. You'll therefore see the `foo.bar || foo['bar']`\n    // pattern repeated across this method.\n    var widgetMissing = (typeof config.widget === 'undefined' &&\n        typeof config['widget'] === 'undefined');\n    var widget = true;\n\n    if (!widgetMissing) {\n      widget = config.widget || config['widget'];\n    }\n\n    var newConfig = /** @type {componentHandler.ComponentConfig} */ ({\n      classConstructor: config.constructor || config['constructor'],\n      className: config.classAsString || config['classAsString'],\n      cssClass: config.cssClass || config['cssClass'],\n      widget: widget,\n      callbacks: []\n    });\n\n    registeredComponents_.forEach(function(item) {\n      if (item.cssClass === newConfig.cssClass) {\n        throw new Error('The provided cssClass has already been registered: ' + item.cssClass);\n      }\n      if (item.className === newConfig.className) {\n        throw new Error('The provided className has already been registered');\n      }\n    });\n\n    if (config.constructor.prototype\n        .hasOwnProperty(componentConfigProperty_)) {\n      throw new Error(\n          'MDL component classes must not have ' + componentConfigProperty_ +\n          ' defined as a property.');\n    }\n\n    var found = findRegisteredClass_(config.classAsString, newConfig);\n\n    if (!found) {\n      registeredComponents_.push(newConfig);\n    }\n  }\n\n  /**\n   * Allows user to be alerted to any upgrades that are performed for a given\n   * component type\n   *\n   * @param {string} jsClass The class name of the MDL component we wish\n   * to hook into for any upgrades performed.\n   * @param {function(!HTMLElement)} callback The function to call upon an\n   * upgrade. This function should expect 1 parameter - the HTMLElement which\n   * got upgraded.\n   */\n  function registerUpgradedCallbackInternal(jsClass, callback) {\n    var regClass = findRegisteredClass_(jsClass);\n    if (regClass) {\n      regClass.callbacks.push(callback);\n    }\n  }\n\n  /**\n   * Upgrades all registered components found in the current DOM. This is\n   * automatically called on window load.\n   */\n  function upgradeAllRegisteredInternal() {\n    for (var n = 0; n < registeredComponents_.length; n++) {\n      upgradeDomInternal(registeredComponents_[n].className);\n    }\n  }\n\n  /**\n   * Check the component for the downgrade method.\n   * Execute if found.\n   * Remove component from createdComponents list.\n   *\n   * @param {?componentHandler.Component} component\n   */\n  function deconstructComponentInternal(component) {\n    if (component) {\n      var componentIndex = createdComponents_.indexOf(component);\n      createdComponents_.splice(componentIndex, 1);\n\n      var upgrades = component.element_.getAttribute('data-upgraded').split(',');\n      var componentPlace = upgrades.indexOf(component[componentConfigProperty_].classAsString);\n      upgrades.splice(componentPlace, 1);\n      component.element_.setAttribute('data-upgraded', upgrades.join(','));\n\n      var ev = createEvent_('mdl-componentdowngraded', true, false);\n      component.element_.dispatchEvent(ev);\n    }\n  }\n\n  /**\n   * Downgrade either a given node, an array of nodes, or a NodeList.\n   *\n   * @param {!Node|!Array<!Node>|!NodeList} nodes\n   */\n  function downgradeNodesInternal(nodes) {\n    /**\n     * Auxiliary function to downgrade a single node.\n     * @param  {!Node} node the node to be downgraded\n     */\n    var downgradeNode = function(node) {\n      createdComponents_.filter(function(item) {\n        return item.element_ === node;\n      }).forEach(deconstructComponentInternal);\n    };\n    if (nodes instanceof Array || nodes instanceof NodeList) {\n      for (var n = 0; n < nodes.length; n++) {\n        downgradeNode(nodes[n]);\n      }\n    } else if (nodes instanceof Node) {\n      downgradeNode(nodes);\n    } else {\n      throw new Error('Invalid argument provided to downgrade MDL nodes.');\n    }\n  }\n\n  // Now return the functions that should be made public with their publicly\n  // facing names...\n  return {\n    upgradeDom: upgradeDomInternal,\n    upgradeElement: upgradeElementInternal,\n    upgradeElements: upgradeElementsInternal,\n    upgradeAllRegistered: upgradeAllRegisteredInternal,\n    registerUpgradedCallback: registerUpgradedCallbackInternal,\n    register: registerInternal,\n    downgradeElements: downgradeNodesInternal\n  };\n})();\n\n/**\n * Describes the type of a registered component type managed by\n * componentHandler. Provided for benefit of the Closure compiler.\n *\n * @typedef {{\n *   constructor: Function,\n *   classAsString: string,\n *   cssClass: string,\n *   widget: (string|boolean|undefined)\n * }}\n */\ncomponentHandler.ComponentConfigPublic;  // jshint ignore:line\n\n/**\n * Describes the type of a registered component type managed by\n * componentHandler. Provided for benefit of the Closure compiler.\n *\n * @typedef {{\n *   constructor: !Function,\n *   className: string,\n *   cssClass: string,\n *   widget: (string|boolean),\n *   callbacks: !Array<function(!HTMLElement)>\n * }}\n */\ncomponentHandler.ComponentConfig;  // jshint ignore:line\n\n/**\n * Created component (i.e., upgraded element) type as managed by\n * componentHandler. Provided for benefit of the Closure compiler.\n *\n * @typedef {{\n *   element_: !HTMLElement,\n *   className: string,\n *   classAsString: string,\n *   cssClass: string,\n *   widget: string\n * }}\n */\ncomponentHandler.Component;  // jshint ignore:line\n\n// Export all symbols, for the benefit of Closure compiler.\n// No effect on uncompiled code.\ncomponentHandler['upgradeDom'] = componentHandler.upgradeDom;\ncomponentHandler['upgradeElement'] = componentHandler.upgradeElement;\ncomponentHandler['upgradeElements'] = componentHandler.upgradeElements;\ncomponentHandler['upgradeAllRegistered'] =\n    componentHandler.upgradeAllRegistered;\ncomponentHandler['registerUpgradedCallback'] =\n    componentHandler.registerUpgradedCallback;\ncomponentHandler['register'] = componentHandler.register;\ncomponentHandler['downgradeElements'] = componentHandler.downgradeElements;\nwindow.componentHandler = componentHandler;\nwindow['componentHandler'] = componentHandler;\n\nwindow.addEventListener('load', function() {\n  'use strict';\n\n  /**\n   * Performs a \"Cutting the mustard\" test. If the browser supports the features\n   * tested, adds a mdl-js class to the <html> element. It then upgrades all MDL\n   * components requiring JavaScript.\n   */\n  if ('classList' in document.createElement('div') &&\n      'querySelector' in document &&\n      'addEventListener' in window && Array.prototype.forEach) {\n    document.documentElement.classList.add('mdl-js');\n    componentHandler.upgradeAllRegistered();\n  } else {\n    /**\n     * Dummy function to avoid JS errors.\n     */\n    componentHandler.upgradeElement = function() {};\n    /**\n     * Dummy function to avoid JS errors.\n     */\n    componentHandler.register = function() {};\n  }\n});\n","// Source: https://github.com/darius/requestAnimationFrame/blob/master/requestAnimationFrame.js\n// Adapted from https://gist.github.com/paulirish/1579671 which derived from\n// http://paulirish.com/2011/requestanimationframe-for-smart-animating/\n// http://my.opera.com/emoller/blog/2011/12/20/requestanimationframe-for-smart-er-animating\n// requestAnimationFrame polyfill by Erik Möller.\n// Fixes from Paul Irish, Tino Zijdel, Andrew Mao, Klemen Slavič, Darius Bacon\n// MIT license\nif (!Date.now) {\n    /**\n     * Date.now polyfill.\n     * @return {number} the current Date\n     */\n    Date.now = function () {\n        return new Date().getTime();\n    };\n    Date['now'] = Date.now;\n}\nvar vendors = [\n    'webkit',\n    'moz'\n];\nfor (var i = 0; i < vendors.length && !window.requestAnimationFrame; ++i) {\n    var vp = vendors[i];\n    window.requestAnimationFrame = window[vp + 'RequestAnimationFrame'];\n    window.cancelAnimationFrame = window[vp + 'CancelAnimationFrame'] || window[vp + 'CancelRequestAnimationFrame'];\n    window['requestAnimationFrame'] = window.requestAnimationFrame;\n    window['cancelAnimationFrame'] = window.cancelAnimationFrame;\n}\nif (/iP(ad|hone|od).*OS 6/.test(window.navigator.userAgent) || !window.requestAnimationFrame || !window.cancelAnimationFrame) {\n    var lastTime = 0;\n    /**\n     * requestAnimationFrame polyfill.\n     * @param  {!Function} callback the callback function.\n     */\n    window.requestAnimationFrame = function (callback) {\n        var now = Date.now();\n        var nextTime = Math.max(lastTime + 16, now);\n        return setTimeout(function () {\n            callback(lastTime = nextTime);\n        }, nextTime - now);\n    };\n    window.cancelAnimationFrame = clearTimeout;\n    window['requestAnimationFrame'] = window.requestAnimationFrame;\n    window['cancelAnimationFrame'] = window.cancelAnimationFrame;\n}","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Button MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialButton = function MaterialButton(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialButton'] = MaterialButton;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialButton.prototype.Constant_ = {};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialButton.prototype.CssClasses_ = {\n    RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    RIPPLE_CONTAINER: 'mdl-button__ripple-container',\n    RIPPLE: 'mdl-ripple'\n};\n/**\n   * Handle blur of element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialButton.prototype.blurHandler_ = function (event) {\n    if (event) {\n        this.element_.blur();\n    }\n};\n// Public methods.\n/**\n   * Disable button.\n   *\n   * @public\n   */\nMaterialButton.prototype.disable = function () {\n    this.element_.disabled = true;\n};\nMaterialButton.prototype['disable'] = MaterialButton.prototype.disable;\n/**\n   * Enable button.\n   *\n   * @public\n   */\nMaterialButton.prototype.enable = function () {\n    this.element_.disabled = false;\n};\nMaterialButton.prototype['enable'] = MaterialButton.prototype.enable;\n/**\n   * Initialize element.\n   */\nMaterialButton.prototype.init = function () {\n    if (this.element_) {\n        if (this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT)) {\n            var rippleContainer = document.createElement('span');\n            rippleContainer.classList.add(this.CssClasses_.RIPPLE_CONTAINER);\n            this.rippleElement_ = document.createElement('span');\n            this.rippleElement_.classList.add(this.CssClasses_.RIPPLE);\n            rippleContainer.appendChild(this.rippleElement_);\n            this.boundRippleBlurHandler = this.blurHandler_.bind(this);\n            this.rippleElement_.addEventListener('mouseup', this.boundRippleBlurHandler);\n            this.element_.appendChild(rippleContainer);\n        }\n        this.boundButtonBlurHandler = this.blurHandler_.bind(this);\n        this.element_.addEventListener('mouseup', this.boundButtonBlurHandler);\n        this.element_.addEventListener('mouseleave', this.boundButtonBlurHandler);\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialButton,\n    classAsString: 'MaterialButton',\n    cssClass: 'mdl-js-button',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Checkbox MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialCheckbox = function MaterialCheckbox(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialCheckbox'] = MaterialCheckbox;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialCheckbox.prototype.Constant_ = { TINY_TIMEOUT: 0.001 };\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialCheckbox.prototype.CssClasses_ = {\n    INPUT: 'mdl-checkbox__input',\n    BOX_OUTLINE: 'mdl-checkbox__box-outline',\n    FOCUS_HELPER: 'mdl-checkbox__focus-helper',\n    TICK_OUTLINE: 'mdl-checkbox__tick-outline',\n    RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    RIPPLE_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events',\n    RIPPLE_CONTAINER: 'mdl-checkbox__ripple-container',\n    RIPPLE_CENTER: 'mdl-ripple--center',\n    RIPPLE: 'mdl-ripple',\n    IS_FOCUSED: 'is-focused',\n    IS_DISABLED: 'is-disabled',\n    IS_CHECKED: 'is-checked',\n    IS_UPGRADED: 'is-upgraded'\n};\n/**\n   * Handle change of state.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialCheckbox.prototype.onChange_ = function (event) {\n    this.updateClasses_();\n};\n/**\n   * Handle focus of element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialCheckbox.prototype.onFocus_ = function (event) {\n    this.element_.classList.add(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle lost focus of element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialCheckbox.prototype.onBlur_ = function (event) {\n    this.element_.classList.remove(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle mouseup.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialCheckbox.prototype.onMouseUp_ = function (event) {\n    this.blur_();\n};\n/**\n   * Handle class updates.\n   *\n   * @private\n   */\nMaterialCheckbox.prototype.updateClasses_ = function () {\n    this.checkDisabled();\n    this.checkToggleState();\n};\n/**\n   * Add blur.\n   *\n   * @private\n   */\nMaterialCheckbox.prototype.blur_ = function () {\n    // TODO: figure out why there's a focus event being fired after our blur,\n    // so that we can avoid this hack.\n    window.setTimeout(function () {\n        this.inputElement_.blur();\n    }.bind(this), this.Constant_.TINY_TIMEOUT);\n};\n// Public methods.\n/**\n   * Check the inputs toggle state and update display.\n   *\n   * @public\n   */\nMaterialCheckbox.prototype.checkToggleState = function () {\n    if (this.inputElement_.checked) {\n        this.element_.classList.add(this.CssClasses_.IS_CHECKED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_CHECKED);\n    }\n};\nMaterialCheckbox.prototype['checkToggleState'] = MaterialCheckbox.prototype.checkToggleState;\n/**\n   * Check the inputs disabled state and update display.\n   *\n   * @public\n   */\nMaterialCheckbox.prototype.checkDisabled = function () {\n    if (this.inputElement_.disabled) {\n        this.element_.classList.add(this.CssClasses_.IS_DISABLED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_DISABLED);\n    }\n};\nMaterialCheckbox.prototype['checkDisabled'] = MaterialCheckbox.prototype.checkDisabled;\n/**\n   * Disable checkbox.\n   *\n   * @public\n   */\nMaterialCheckbox.prototype.disable = function () {\n    this.inputElement_.disabled = true;\n    this.updateClasses_();\n};\nMaterialCheckbox.prototype['disable'] = MaterialCheckbox.prototype.disable;\n/**\n   * Enable checkbox.\n   *\n   * @public\n   */\nMaterialCheckbox.prototype.enable = function () {\n    this.inputElement_.disabled = false;\n    this.updateClasses_();\n};\nMaterialCheckbox.prototype['enable'] = MaterialCheckbox.prototype.enable;\n/**\n   * Check checkbox.\n   *\n   * @public\n   */\nMaterialCheckbox.prototype.check = function () {\n    this.inputElement_.checked = true;\n    this.updateClasses_();\n};\nMaterialCheckbox.prototype['check'] = MaterialCheckbox.prototype.check;\n/**\n   * Uncheck checkbox.\n   *\n   * @public\n   */\nMaterialCheckbox.prototype.uncheck = function () {\n    this.inputElement_.checked = false;\n    this.updateClasses_();\n};\nMaterialCheckbox.prototype['uncheck'] = MaterialCheckbox.prototype.uncheck;\n/**\n   * Initialize element.\n   */\nMaterialCheckbox.prototype.init = function () {\n    if (this.element_) {\n        this.inputElement_ = this.element_.querySelector('.' + this.CssClasses_.INPUT);\n        var boxOutline = document.createElement('span');\n        boxOutline.classList.add(this.CssClasses_.BOX_OUTLINE);\n        var tickContainer = document.createElement('span');\n        tickContainer.classList.add(this.CssClasses_.FOCUS_HELPER);\n        var tickOutline = document.createElement('span');\n        tickOutline.classList.add(this.CssClasses_.TICK_OUTLINE);\n        boxOutline.appendChild(tickOutline);\n        this.element_.appendChild(tickContainer);\n        this.element_.appendChild(boxOutline);\n        if (this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT)) {\n            this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS);\n            this.rippleContainerElement_ = document.createElement('span');\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CONTAINER);\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_EFFECT);\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CENTER);\n            this.boundRippleMouseUp = this.onMouseUp_.bind(this);\n            this.rippleContainerElement_.addEventListener('mouseup', this.boundRippleMouseUp);\n            var ripple = document.createElement('span');\n            ripple.classList.add(this.CssClasses_.RIPPLE);\n            this.rippleContainerElement_.appendChild(ripple);\n            this.element_.appendChild(this.rippleContainerElement_);\n        }\n        this.boundInputOnChange = this.onChange_.bind(this);\n        this.boundInputOnFocus = this.onFocus_.bind(this);\n        this.boundInputOnBlur = this.onBlur_.bind(this);\n        this.boundElementMouseUp = this.onMouseUp_.bind(this);\n        this.inputElement_.addEventListener('change', this.boundInputOnChange);\n        this.inputElement_.addEventListener('focus', this.boundInputOnFocus);\n        this.inputElement_.addEventListener('blur', this.boundInputOnBlur);\n        this.element_.addEventListener('mouseup', this.boundElementMouseUp);\n        this.updateClasses_();\n        this.element_.classList.add(this.CssClasses_.IS_UPGRADED);\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialCheckbox,\n    classAsString: 'MaterialCheckbox',\n    cssClass: 'mdl-js-checkbox',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for icon toggle MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialIconToggle = function MaterialIconToggle(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialIconToggle'] = MaterialIconToggle;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialIconToggle.prototype.Constant_ = { TINY_TIMEOUT: 0.001 };\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialIconToggle.prototype.CssClasses_ = {\n    INPUT: 'mdl-icon-toggle__input',\n    JS_RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    RIPPLE_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events',\n    RIPPLE_CONTAINER: 'mdl-icon-toggle__ripple-container',\n    RIPPLE_CENTER: 'mdl-ripple--center',\n    RIPPLE: 'mdl-ripple',\n    IS_FOCUSED: 'is-focused',\n    IS_DISABLED: 'is-disabled',\n    IS_CHECKED: 'is-checked'\n};\n/**\n   * Handle change of state.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialIconToggle.prototype.onChange_ = function (event) {\n    this.updateClasses_();\n};\n/**\n   * Handle focus of element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialIconToggle.prototype.onFocus_ = function (event) {\n    this.element_.classList.add(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle lost focus of element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialIconToggle.prototype.onBlur_ = function (event) {\n    this.element_.classList.remove(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle mouseup.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialIconToggle.prototype.onMouseUp_ = function (event) {\n    this.blur_();\n};\n/**\n   * Handle class updates.\n   *\n   * @private\n   */\nMaterialIconToggle.prototype.updateClasses_ = function () {\n    this.checkDisabled();\n    this.checkToggleState();\n};\n/**\n   * Add blur.\n   *\n   * @private\n   */\nMaterialIconToggle.prototype.blur_ = function () {\n    // TODO: figure out why there's a focus event being fired after our blur,\n    // so that we can avoid this hack.\n    window.setTimeout(function () {\n        this.inputElement_.blur();\n    }.bind(this), this.Constant_.TINY_TIMEOUT);\n};\n// Public methods.\n/**\n   * Check the inputs toggle state and update display.\n   *\n   * @public\n   */\nMaterialIconToggle.prototype.checkToggleState = function () {\n    if (this.inputElement_.checked) {\n        this.element_.classList.add(this.CssClasses_.IS_CHECKED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_CHECKED);\n    }\n};\nMaterialIconToggle.prototype['checkToggleState'] = MaterialIconToggle.prototype.checkToggleState;\n/**\n   * Check the inputs disabled state and update display.\n   *\n   * @public\n   */\nMaterialIconToggle.prototype.checkDisabled = function () {\n    if (this.inputElement_.disabled) {\n        this.element_.classList.add(this.CssClasses_.IS_DISABLED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_DISABLED);\n    }\n};\nMaterialIconToggle.prototype['checkDisabled'] = MaterialIconToggle.prototype.checkDisabled;\n/**\n   * Disable icon toggle.\n   *\n   * @public\n   */\nMaterialIconToggle.prototype.disable = function () {\n    this.inputElement_.disabled = true;\n    this.updateClasses_();\n};\nMaterialIconToggle.prototype['disable'] = MaterialIconToggle.prototype.disable;\n/**\n   * Enable icon toggle.\n   *\n   * @public\n   */\nMaterialIconToggle.prototype.enable = function () {\n    this.inputElement_.disabled = false;\n    this.updateClasses_();\n};\nMaterialIconToggle.prototype['enable'] = MaterialIconToggle.prototype.enable;\n/**\n   * Check icon toggle.\n   *\n   * @public\n   */\nMaterialIconToggle.prototype.check = function () {\n    this.inputElement_.checked = true;\n    this.updateClasses_();\n};\nMaterialIconToggle.prototype['check'] = MaterialIconToggle.prototype.check;\n/**\n   * Uncheck icon toggle.\n   *\n   * @public\n   */\nMaterialIconToggle.prototype.uncheck = function () {\n    this.inputElement_.checked = false;\n    this.updateClasses_();\n};\nMaterialIconToggle.prototype['uncheck'] = MaterialIconToggle.prototype.uncheck;\n/**\n   * Initialize element.\n   */\nMaterialIconToggle.prototype.init = function () {\n    if (this.element_) {\n        this.inputElement_ = this.element_.querySelector('.' + this.CssClasses_.INPUT);\n        if (this.element_.classList.contains(this.CssClasses_.JS_RIPPLE_EFFECT)) {\n            this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS);\n            this.rippleContainerElement_ = document.createElement('span');\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CONTAINER);\n            this.rippleContainerElement_.classList.add(this.CssClasses_.JS_RIPPLE_EFFECT);\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CENTER);\n            this.boundRippleMouseUp = this.onMouseUp_.bind(this);\n            this.rippleContainerElement_.addEventListener('mouseup', this.boundRippleMouseUp);\n            var ripple = document.createElement('span');\n            ripple.classList.add(this.CssClasses_.RIPPLE);\n            this.rippleContainerElement_.appendChild(ripple);\n            this.element_.appendChild(this.rippleContainerElement_);\n        }\n        this.boundInputOnChange = this.onChange_.bind(this);\n        this.boundInputOnFocus = this.onFocus_.bind(this);\n        this.boundInputOnBlur = this.onBlur_.bind(this);\n        this.boundElementOnMouseUp = this.onMouseUp_.bind(this);\n        this.inputElement_.addEventListener('change', this.boundInputOnChange);\n        this.inputElement_.addEventListener('focus', this.boundInputOnFocus);\n        this.inputElement_.addEventListener('blur', this.boundInputOnBlur);\n        this.element_.addEventListener('mouseup', this.boundElementOnMouseUp);\n        this.updateClasses_();\n        this.element_.classList.add('is-upgraded');\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialIconToggle,\n    classAsString: 'MaterialIconToggle',\n    cssClass: 'mdl-js-icon-toggle',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for dropdown MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialMenu = function MaterialMenu(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialMenu'] = MaterialMenu;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialMenu.prototype.Constant_ = {\n    // Total duration of the menu animation.\n    TRANSITION_DURATION_SECONDS: 0.3,\n    // The fraction of the total duration we want to use for menu item animations.\n    TRANSITION_DURATION_FRACTION: 0.8,\n    // How long the menu stays open after choosing an option (so the user can see\n    // the ripple).\n    CLOSE_TIMEOUT: 150\n};\n/**\n   * Keycodes, for code readability.\n   *\n   * @enum {number}\n   * @private\n   */\nMaterialMenu.prototype.Keycodes_ = {\n    ENTER: 13,\n    ESCAPE: 27,\n    SPACE: 32,\n    UP_ARROW: 38,\n    DOWN_ARROW: 40\n};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialMenu.prototype.CssClasses_ = {\n    CONTAINER: 'mdl-menu__container',\n    OUTLINE: 'mdl-menu__outline',\n    ITEM: 'mdl-menu__item',\n    ITEM_RIPPLE_CONTAINER: 'mdl-menu__item-ripple-container',\n    RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    RIPPLE_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events',\n    RIPPLE: 'mdl-ripple',\n    // Statuses\n    IS_UPGRADED: 'is-upgraded',\n    IS_VISIBLE: 'is-visible',\n    IS_ANIMATING: 'is-animating',\n    // Alignment options\n    BOTTOM_LEFT: 'mdl-menu--bottom-left',\n    // This is the default.\n    BOTTOM_RIGHT: 'mdl-menu--bottom-right',\n    TOP_LEFT: 'mdl-menu--top-left',\n    TOP_RIGHT: 'mdl-menu--top-right',\n    UNALIGNED: 'mdl-menu--unaligned'\n};\n/**\n   * Initialize element.\n   */\nMaterialMenu.prototype.init = function () {\n    if (this.element_) {\n        // Create container for the menu.\n        var container = document.createElement('div');\n        container.classList.add(this.CssClasses_.CONTAINER);\n        this.element_.parentElement.insertBefore(container, this.element_);\n        this.element_.parentElement.removeChild(this.element_);\n        container.appendChild(this.element_);\n        this.container_ = container;\n        // Create outline for the menu (shadow and background).\n        var outline = document.createElement('div');\n        outline.classList.add(this.CssClasses_.OUTLINE);\n        this.outline_ = outline;\n        container.insertBefore(outline, this.element_);\n        // Find the \"for\" element and bind events to it.\n        var forElId = this.element_.getAttribute('for') || this.element_.getAttribute('data-mdl-for');\n        var forEl = null;\n        if (forElId) {\n            forEl = document.getElementById(forElId);\n            if (forEl) {\n                this.forElement_ = forEl;\n                forEl.addEventListener('click', this.handleForClick_.bind(this));\n                forEl.addEventListener('keydown', this.handleForKeyboardEvent_.bind(this));\n            }\n        }\n        var items = this.element_.querySelectorAll('.' + this.CssClasses_.ITEM);\n        this.boundItemKeydown_ = this.handleItemKeyboardEvent_.bind(this);\n        this.boundItemClick_ = this.handleItemClick_.bind(this);\n        for (var i = 0; i < items.length; i++) {\n            // Add a listener to each menu item.\n            items[i].addEventListener('click', this.boundItemClick_);\n            // Add a tab index to each menu item.\n            items[i].tabIndex = '-1';\n            // Add a keyboard listener to each menu item.\n            items[i].addEventListener('keydown', this.boundItemKeydown_);\n        }\n        // Add ripple classes to each item, if the user has enabled ripples.\n        if (this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT)) {\n            this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS);\n            for (i = 0; i < items.length; i++) {\n                var item = items[i];\n                var rippleContainer = document.createElement('span');\n                rippleContainer.classList.add(this.CssClasses_.ITEM_RIPPLE_CONTAINER);\n                var ripple = document.createElement('span');\n                ripple.classList.add(this.CssClasses_.RIPPLE);\n                rippleContainer.appendChild(ripple);\n                item.appendChild(rippleContainer);\n                item.classList.add(this.CssClasses_.RIPPLE_EFFECT);\n            }\n        }\n        // Copy alignment classes to the container, so the outline can use them.\n        if (this.element_.classList.contains(this.CssClasses_.BOTTOM_LEFT)) {\n            this.outline_.classList.add(this.CssClasses_.BOTTOM_LEFT);\n        }\n        if (this.element_.classList.contains(this.CssClasses_.BOTTOM_RIGHT)) {\n            this.outline_.classList.add(this.CssClasses_.BOTTOM_RIGHT);\n        }\n        if (this.element_.classList.contains(this.CssClasses_.TOP_LEFT)) {\n            this.outline_.classList.add(this.CssClasses_.TOP_LEFT);\n        }\n        if (this.element_.classList.contains(this.CssClasses_.TOP_RIGHT)) {\n            this.outline_.classList.add(this.CssClasses_.TOP_RIGHT);\n        }\n        if (this.element_.classList.contains(this.CssClasses_.UNALIGNED)) {\n            this.outline_.classList.add(this.CssClasses_.UNALIGNED);\n        }\n        container.classList.add(this.CssClasses_.IS_UPGRADED);\n    }\n};\n/**\n   * Handles a click on the \"for\" element, by positioning the menu and then\n   * toggling it.\n   *\n   * @param {Event} evt The event that fired.\n   * @private\n   */\nMaterialMenu.prototype.handleForClick_ = function (evt) {\n    if (this.element_ && this.forElement_) {\n        var rect = this.forElement_.getBoundingClientRect();\n        var forRect = this.forElement_.parentElement.getBoundingClientRect();\n        if (this.element_.classList.contains(this.CssClasses_.UNALIGNED)) {\n        } else if (this.element_.classList.contains(this.CssClasses_.BOTTOM_RIGHT)) {\n            // Position below the \"for\" element, aligned to its right.\n            this.container_.style.right = forRect.right - rect.right + 'px';\n            this.container_.style.top = this.forElement_.offsetTop + this.forElement_.offsetHeight + 'px';\n        } else if (this.element_.classList.contains(this.CssClasses_.TOP_LEFT)) {\n            // Position above the \"for\" element, aligned to its left.\n            this.container_.style.left = this.forElement_.offsetLeft + 'px';\n            this.container_.style.bottom = forRect.bottom - rect.top + 'px';\n        } else if (this.element_.classList.contains(this.CssClasses_.TOP_RIGHT)) {\n            // Position above the \"for\" element, aligned to its right.\n            this.container_.style.right = forRect.right - rect.right + 'px';\n            this.container_.style.bottom = forRect.bottom - rect.top + 'px';\n        } else {\n            // Default: position below the \"for\" element, aligned to its left.\n            this.container_.style.left = this.forElement_.offsetLeft + 'px';\n            this.container_.style.top = this.forElement_.offsetTop + this.forElement_.offsetHeight + 'px';\n        }\n    }\n    this.toggle(evt);\n};\n/**\n   * Handles a keyboard event on the \"for\" element.\n   *\n   * @param {Event} evt The event that fired.\n   * @private\n   */\nMaterialMenu.prototype.handleForKeyboardEvent_ = function (evt) {\n    if (this.element_ && this.container_ && this.forElement_) {\n        var items = this.element_.querySelectorAll('.' + this.CssClasses_.ITEM + ':not([disabled])');\n        if (items && items.length > 0 && this.container_.classList.contains(this.CssClasses_.IS_VISIBLE)) {\n            if (evt.keyCode === this.Keycodes_.UP_ARROW) {\n                evt.preventDefault();\n                items[items.length - 1].focus();\n            } else if (evt.keyCode === this.Keycodes_.DOWN_ARROW) {\n                evt.preventDefault();\n                items[0].focus();\n            }\n        }\n    }\n};\n/**\n   * Handles a keyboard event on an item.\n   *\n   * @param {Event} evt The event that fired.\n   * @private\n   */\nMaterialMenu.prototype.handleItemKeyboardEvent_ = function (evt) {\n    if (this.element_ && this.container_) {\n        var items = this.element_.querySelectorAll('.' + this.CssClasses_.ITEM + ':not([disabled])');\n        if (items && items.length > 0 && this.container_.classList.contains(this.CssClasses_.IS_VISIBLE)) {\n            var currentIndex = Array.prototype.slice.call(items).indexOf(evt.target);\n            if (evt.keyCode === this.Keycodes_.UP_ARROW) {\n                evt.preventDefault();\n                if (currentIndex > 0) {\n                    items[currentIndex - 1].focus();\n                } else {\n                    items[items.length - 1].focus();\n                }\n            } else if (evt.keyCode === this.Keycodes_.DOWN_ARROW) {\n                evt.preventDefault();\n                if (items.length > currentIndex + 1) {\n                    items[currentIndex + 1].focus();\n                } else {\n                    items[0].focus();\n                }\n            } else if (evt.keyCode === this.Keycodes_.SPACE || evt.keyCode === this.Keycodes_.ENTER) {\n                evt.preventDefault();\n                // Send mousedown and mouseup to trigger ripple.\n                var e = new MouseEvent('mousedown');\n                evt.target.dispatchEvent(e);\n                e = new MouseEvent('mouseup');\n                evt.target.dispatchEvent(e);\n                // Send click.\n                evt.target.click();\n            } else if (evt.keyCode === this.Keycodes_.ESCAPE) {\n                evt.preventDefault();\n                this.hide();\n            }\n        }\n    }\n};\n/**\n   * Handles a click event on an item.\n   *\n   * @param {Event} evt The event that fired.\n   * @private\n   */\nMaterialMenu.prototype.handleItemClick_ = function (evt) {\n    if (evt.target.hasAttribute('disabled')) {\n        evt.stopPropagation();\n    } else {\n        // Wait some time before closing menu, so the user can see the ripple.\n        this.closing_ = true;\n        window.setTimeout(function (evt) {\n            this.hide();\n            this.closing_ = false;\n        }.bind(this), this.Constant_.CLOSE_TIMEOUT);\n    }\n};\n/**\n   * Calculates the initial clip (for opening the menu) or final clip (for closing\n   * it), and applies it. This allows us to animate from or to the correct point,\n   * that is, the point it's aligned to in the \"for\" element.\n   *\n   * @param {number} height Height of the clip rectangle\n   * @param {number} width Width of the clip rectangle\n   * @private\n   */\nMaterialMenu.prototype.applyClip_ = function (height, width) {\n    if (this.element_.classList.contains(this.CssClasses_.UNALIGNED)) {\n        // Do not clip.\n        this.element_.style.clip = '';\n    } else if (this.element_.classList.contains(this.CssClasses_.BOTTOM_RIGHT)) {\n        // Clip to the top right corner of the menu.\n        this.element_.style.clip = 'rect(0 ' + width + 'px ' + '0 ' + width + 'px)';\n    } else if (this.element_.classList.contains(this.CssClasses_.TOP_LEFT)) {\n        // Clip to the bottom left corner of the menu.\n        this.element_.style.clip = 'rect(' + height + 'px 0 ' + height + 'px 0)';\n    } else if (this.element_.classList.contains(this.CssClasses_.TOP_RIGHT)) {\n        // Clip to the bottom right corner of the menu.\n        this.element_.style.clip = 'rect(' + height + 'px ' + width + 'px ' + height + 'px ' + width + 'px)';\n    } else {\n        // Default: do not clip (same as clipping to the top left corner).\n        this.element_.style.clip = '';\n    }\n};\n/**\n   * Cleanup function to remove animation listeners.\n   *\n   * @param {Event} evt\n   * @private\n   */\nMaterialMenu.prototype.removeAnimationEndListener_ = function (evt) {\n    evt.target.classList.remove(MaterialMenu.prototype.CssClasses_.IS_ANIMATING);\n};\n/**\n   * Adds an event listener to clean up after the animation ends.\n   *\n   * @private\n   */\nMaterialMenu.prototype.addAnimationEndListener_ = function () {\n    this.element_.addEventListener('transitionend', this.removeAnimationEndListener_);\n    this.element_.addEventListener('webkitTransitionEnd', this.removeAnimationEndListener_);\n};\n/**\n   * Displays the menu.\n   *\n   * @public\n   */\nMaterialMenu.prototype.show = function (evt) {\n    if (this.element_ && this.container_ && this.outline_) {\n        // Measure the inner element.\n        var height = this.element_.getBoundingClientRect().height;\n        var width = this.element_.getBoundingClientRect().width;\n        // Apply the inner element's size to the container and outline.\n        this.container_.style.width = width + 'px';\n        this.container_.style.height = height + 'px';\n        this.outline_.style.width = width + 'px';\n        this.outline_.style.height = height + 'px';\n        var transitionDuration = this.Constant_.TRANSITION_DURATION_SECONDS * this.Constant_.TRANSITION_DURATION_FRACTION;\n        // Calculate transition delays for individual menu items, so that they fade\n        // in one at a time.\n        var items = this.element_.querySelectorAll('.' + this.CssClasses_.ITEM);\n        for (var i = 0; i < items.length; i++) {\n            var itemDelay = null;\n            if (this.element_.classList.contains(this.CssClasses_.TOP_LEFT) || this.element_.classList.contains(this.CssClasses_.TOP_RIGHT)) {\n                itemDelay = (height - items[i].offsetTop - items[i].offsetHeight) / height * transitionDuration + 's';\n            } else {\n                itemDelay = items[i].offsetTop / height * transitionDuration + 's';\n            }\n            items[i].style.transitionDelay = itemDelay;\n        }\n        // Apply the initial clip to the text before we start animating.\n        this.applyClip_(height, width);\n        // Wait for the next frame, turn on animation, and apply the final clip.\n        // Also make it visible. This triggers the transitions.\n        window.requestAnimationFrame(function () {\n            this.element_.classList.add(this.CssClasses_.IS_ANIMATING);\n            this.element_.style.clip = 'rect(0 ' + width + 'px ' + height + 'px 0)';\n            this.container_.classList.add(this.CssClasses_.IS_VISIBLE);\n        }.bind(this));\n        // Clean up after the animation is complete.\n        this.addAnimationEndListener_();\n        // Add a click listener to the document, to close the menu.\n        var callback = function (e) {\n            // Check to see if the document is processing the same event that\n            // displayed the menu in the first place. If so, do nothing.\n            // Also check to see if the menu is in the process of closing itself, and\n            // do nothing in that case.\n            // Also check if the clicked element is a menu item\n            // if so, do nothing.\n            if (e !== evt && !this.closing_ && e.target.parentNode !== this.element_) {\n                document.removeEventListener('click', callback);\n                this.hide();\n            }\n        }.bind(this);\n        document.addEventListener('click', callback);\n    }\n};\nMaterialMenu.prototype['show'] = MaterialMenu.prototype.show;\n/**\n   * Hides the menu.\n   *\n   * @public\n   */\nMaterialMenu.prototype.hide = function () {\n    if (this.element_ && this.container_ && this.outline_) {\n        var items = this.element_.querySelectorAll('.' + this.CssClasses_.ITEM);\n        // Remove all transition delays; menu items fade out concurrently.\n        for (var i = 0; i < items.length; i++) {\n            items[i].style.removeProperty('transition-delay');\n        }\n        // Measure the inner element.\n        var rect = this.element_.getBoundingClientRect();\n        var height = rect.height;\n        var width = rect.width;\n        // Turn on animation, and apply the final clip. Also make invisible.\n        // This triggers the transitions.\n        this.element_.classList.add(this.CssClasses_.IS_ANIMATING);\n        this.applyClip_(height, width);\n        this.container_.classList.remove(this.CssClasses_.IS_VISIBLE);\n        // Clean up after the animation is complete.\n        this.addAnimationEndListener_();\n    }\n};\nMaterialMenu.prototype['hide'] = MaterialMenu.prototype.hide;\n/**\n   * Displays or hides the menu, depending on current state.\n   *\n   * @public\n   */\nMaterialMenu.prototype.toggle = function (evt) {\n    if (this.container_.classList.contains(this.CssClasses_.IS_VISIBLE)) {\n        this.hide();\n    } else {\n        this.show(evt);\n    }\n};\nMaterialMenu.prototype['toggle'] = MaterialMenu.prototype.toggle;\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialMenu,\n    classAsString: 'MaterialMenu',\n    cssClass: 'mdl-js-menu',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Progress MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialProgress = function MaterialProgress(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialProgress'] = MaterialProgress;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialProgress.prototype.Constant_ = {};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialProgress.prototype.CssClasses_ = { INDETERMINATE_CLASS: 'mdl-progress__indeterminate' };\n/**\n   * Set the current progress of the progressbar.\n   *\n   * @param {number} p Percentage of the progress (0-100)\n   * @public\n   */\nMaterialProgress.prototype.setProgress = function (p) {\n    if (this.element_.classList.contains(this.CssClasses_.INDETERMINATE_CLASS)) {\n        return;\n    }\n    this.progressbar_.style.width = p + '%';\n};\nMaterialProgress.prototype['setProgress'] = MaterialProgress.prototype.setProgress;\n/**\n   * Set the current progress of the buffer.\n   *\n   * @param {number} p Percentage of the buffer (0-100)\n   * @public\n   */\nMaterialProgress.prototype.setBuffer = function (p) {\n    this.bufferbar_.style.width = p + '%';\n    this.auxbar_.style.width = 100 - p + '%';\n};\nMaterialProgress.prototype['setBuffer'] = MaterialProgress.prototype.setBuffer;\n/**\n   * Initialize element.\n   */\nMaterialProgress.prototype.init = function () {\n    if (this.element_) {\n        var el = document.createElement('div');\n        el.className = 'progressbar bar bar1';\n        this.element_.appendChild(el);\n        this.progressbar_ = el;\n        el = document.createElement('div');\n        el.className = 'bufferbar bar bar2';\n        this.element_.appendChild(el);\n        this.bufferbar_ = el;\n        el = document.createElement('div');\n        el.className = 'auxbar bar bar3';\n        this.element_.appendChild(el);\n        this.auxbar_ = el;\n        this.progressbar_.style.width = '0%';\n        this.bufferbar_.style.width = '100%';\n        this.auxbar_.style.width = '0%';\n        this.element_.classList.add('is-upgraded');\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialProgress,\n    classAsString: 'MaterialProgress',\n    cssClass: 'mdl-js-progress',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Radio MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialRadio = function MaterialRadio(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialRadio'] = MaterialRadio;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialRadio.prototype.Constant_ = { TINY_TIMEOUT: 0.001 };\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialRadio.prototype.CssClasses_ = {\n    IS_FOCUSED: 'is-focused',\n    IS_DISABLED: 'is-disabled',\n    IS_CHECKED: 'is-checked',\n    IS_UPGRADED: 'is-upgraded',\n    JS_RADIO: 'mdl-js-radio',\n    RADIO_BTN: 'mdl-radio__button',\n    RADIO_OUTER_CIRCLE: 'mdl-radio__outer-circle',\n    RADIO_INNER_CIRCLE: 'mdl-radio__inner-circle',\n    RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    RIPPLE_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events',\n    RIPPLE_CONTAINER: 'mdl-radio__ripple-container',\n    RIPPLE_CENTER: 'mdl-ripple--center',\n    RIPPLE: 'mdl-ripple'\n};\n/**\n   * Handle change of state.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialRadio.prototype.onChange_ = function (event) {\n    // Since other radio buttons don't get change events, we need to look for\n    // them to update their classes.\n    var radios = document.getElementsByClassName(this.CssClasses_.JS_RADIO);\n    for (var i = 0; i < radios.length; i++) {\n        var button = radios[i].querySelector('.' + this.CssClasses_.RADIO_BTN);\n        // Different name == different group, so no point updating those.\n        if (button.getAttribute('name') === this.btnElement_.getAttribute('name')) {\n            if (typeof radios[i]['MaterialRadio'] !== 'undefined') {\n                radios[i]['MaterialRadio'].updateClasses_();\n            }\n        }\n    }\n};\n/**\n   * Handle focus.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialRadio.prototype.onFocus_ = function (event) {\n    this.element_.classList.add(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle lost focus.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialRadio.prototype.onBlur_ = function (event) {\n    this.element_.classList.remove(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle mouseup.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialRadio.prototype.onMouseup_ = function (event) {\n    this.blur_();\n};\n/**\n   * Update classes.\n   *\n   * @private\n   */\nMaterialRadio.prototype.updateClasses_ = function () {\n    this.checkDisabled();\n    this.checkToggleState();\n};\n/**\n   * Add blur.\n   *\n   * @private\n   */\nMaterialRadio.prototype.blur_ = function () {\n    // TODO: figure out why there's a focus event being fired after our blur,\n    // so that we can avoid this hack.\n    window.setTimeout(function () {\n        this.btnElement_.blur();\n    }.bind(this), this.Constant_.TINY_TIMEOUT);\n};\n// Public methods.\n/**\n   * Check the components disabled state.\n   *\n   * @public\n   */\nMaterialRadio.prototype.checkDisabled = function () {\n    if (this.btnElement_.disabled) {\n        this.element_.classList.add(this.CssClasses_.IS_DISABLED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_DISABLED);\n    }\n};\nMaterialRadio.prototype['checkDisabled'] = MaterialRadio.prototype.checkDisabled;\n/**\n   * Check the components toggled state.\n   *\n   * @public\n   */\nMaterialRadio.prototype.checkToggleState = function () {\n    if (this.btnElement_.checked) {\n        this.element_.classList.add(this.CssClasses_.IS_CHECKED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_CHECKED);\n    }\n};\nMaterialRadio.prototype['checkToggleState'] = MaterialRadio.prototype.checkToggleState;\n/**\n   * Disable radio.\n   *\n   * @public\n   */\nMaterialRadio.prototype.disable = function () {\n    this.btnElement_.disabled = true;\n    this.updateClasses_();\n};\nMaterialRadio.prototype['disable'] = MaterialRadio.prototype.disable;\n/**\n   * Enable radio.\n   *\n   * @public\n   */\nMaterialRadio.prototype.enable = function () {\n    this.btnElement_.disabled = false;\n    this.updateClasses_();\n};\nMaterialRadio.prototype['enable'] = MaterialRadio.prototype.enable;\n/**\n   * Check radio.\n   *\n   * @public\n   */\nMaterialRadio.prototype.check = function () {\n    this.btnElement_.checked = true;\n    this.onChange_(null);\n};\nMaterialRadio.prototype['check'] = MaterialRadio.prototype.check;\n/**\n   * Uncheck radio.\n   *\n   * @public\n   */\nMaterialRadio.prototype.uncheck = function () {\n    this.btnElement_.checked = false;\n    this.onChange_(null);\n};\nMaterialRadio.prototype['uncheck'] = MaterialRadio.prototype.uncheck;\n/**\n   * Initialize element.\n   */\nMaterialRadio.prototype.init = function () {\n    if (this.element_) {\n        this.btnElement_ = this.element_.querySelector('.' + this.CssClasses_.RADIO_BTN);\n        this.boundChangeHandler_ = this.onChange_.bind(this);\n        this.boundFocusHandler_ = this.onChange_.bind(this);\n        this.boundBlurHandler_ = this.onBlur_.bind(this);\n        this.boundMouseUpHandler_ = this.onMouseup_.bind(this);\n        var outerCircle = document.createElement('span');\n        outerCircle.classList.add(this.CssClasses_.RADIO_OUTER_CIRCLE);\n        var innerCircle = document.createElement('span');\n        innerCircle.classList.add(this.CssClasses_.RADIO_INNER_CIRCLE);\n        this.element_.appendChild(outerCircle);\n        this.element_.appendChild(innerCircle);\n        var rippleContainer;\n        if (this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT)) {\n            this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS);\n            rippleContainer = document.createElement('span');\n            rippleContainer.classList.add(this.CssClasses_.RIPPLE_CONTAINER);\n            rippleContainer.classList.add(this.CssClasses_.RIPPLE_EFFECT);\n            rippleContainer.classList.add(this.CssClasses_.RIPPLE_CENTER);\n            rippleContainer.addEventListener('mouseup', this.boundMouseUpHandler_);\n            var ripple = document.createElement('span');\n            ripple.classList.add(this.CssClasses_.RIPPLE);\n            rippleContainer.appendChild(ripple);\n            this.element_.appendChild(rippleContainer);\n        }\n        this.btnElement_.addEventListener('change', this.boundChangeHandler_);\n        this.btnElement_.addEventListener('focus', this.boundFocusHandler_);\n        this.btnElement_.addEventListener('blur', this.boundBlurHandler_);\n        this.element_.addEventListener('mouseup', this.boundMouseUpHandler_);\n        this.updateClasses_();\n        this.element_.classList.add(this.CssClasses_.IS_UPGRADED);\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialRadio,\n    classAsString: 'MaterialRadio',\n    cssClass: 'mdl-js-radio',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Slider MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialSlider = function MaterialSlider(element) {\n    this.element_ = element;\n    // Browser feature detection.\n    this.isIE_ = window.navigator.msPointerEnabled;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialSlider'] = MaterialSlider;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialSlider.prototype.Constant_ = {};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialSlider.prototype.CssClasses_ = {\n    IE_CONTAINER: 'mdl-slider__ie-container',\n    SLIDER_CONTAINER: 'mdl-slider__container',\n    BACKGROUND_FLEX: 'mdl-slider__background-flex',\n    BACKGROUND_LOWER: 'mdl-slider__background-lower',\n    BACKGROUND_UPPER: 'mdl-slider__background-upper',\n    IS_LOWEST_VALUE: 'is-lowest-value',\n    IS_UPGRADED: 'is-upgraded'\n};\n/**\n   * Handle input on element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialSlider.prototype.onInput_ = function (event) {\n    this.updateValueStyles_();\n};\n/**\n   * Handle change on element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialSlider.prototype.onChange_ = function (event) {\n    this.updateValueStyles_();\n};\n/**\n   * Handle mouseup on element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialSlider.prototype.onMouseUp_ = function (event) {\n    event.target.blur();\n};\n/**\n   * Handle mousedown on container element.\n   * This handler is purpose is to not require the use to click\n   * exactly on the 2px slider element, as FireFox seems to be very\n   * strict about this.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   * @suppress {missingProperties}\n   */\nMaterialSlider.prototype.onContainerMouseDown_ = function (event) {\n    // If this click is not on the parent element (but rather some child)\n    // ignore. It may still bubble up.\n    if (event.target !== this.element_.parentElement) {\n        return;\n    }\n    // Discard the original event and create a new event that\n    // is on the slider element.\n    event.preventDefault();\n    var newEvent = new MouseEvent('mousedown', {\n        target: event.target,\n        buttons: event.buttons,\n        clientX: event.clientX,\n        clientY: this.element_.getBoundingClientRect().y\n    });\n    this.element_.dispatchEvent(newEvent);\n};\n/**\n   * Handle updating of values.\n   *\n   * @private\n   */\nMaterialSlider.prototype.updateValueStyles_ = function () {\n    // Calculate and apply percentages to div structure behind slider.\n    var fraction = (this.element_.value - this.element_.min) / (this.element_.max - this.element_.min);\n    if (fraction === 0) {\n        this.element_.classList.add(this.CssClasses_.IS_LOWEST_VALUE);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_LOWEST_VALUE);\n    }\n    if (!this.isIE_) {\n        this.backgroundLower_.style.flex = fraction;\n        this.backgroundLower_.style.webkitFlex = fraction;\n        this.backgroundUpper_.style.flex = 1 - fraction;\n        this.backgroundUpper_.style.webkitFlex = 1 - fraction;\n    }\n};\n// Public methods.\n/**\n   * Disable slider.\n   *\n   * @public\n   */\nMaterialSlider.prototype.disable = function () {\n    this.element_.disabled = true;\n};\nMaterialSlider.prototype['disable'] = MaterialSlider.prototype.disable;\n/**\n   * Enable slider.\n   *\n   * @public\n   */\nMaterialSlider.prototype.enable = function () {\n    this.element_.disabled = false;\n};\nMaterialSlider.prototype['enable'] = MaterialSlider.prototype.enable;\n/**\n   * Update slider value.\n   *\n   * @param {number} value The value to which to set the control (optional).\n   * @public\n   */\nMaterialSlider.prototype.change = function (value) {\n    if (typeof value !== 'undefined') {\n        this.element_.value = value;\n    }\n    this.updateValueStyles_();\n};\nMaterialSlider.prototype['change'] = MaterialSlider.prototype.change;\n/**\n   * Initialize element.\n   */\nMaterialSlider.prototype.init = function () {\n    if (this.element_) {\n        if (this.isIE_) {\n            // Since we need to specify a very large height in IE due to\n            // implementation limitations, we add a parent here that trims it down to\n            // a reasonable size.\n            var containerIE = document.createElement('div');\n            containerIE.classList.add(this.CssClasses_.IE_CONTAINER);\n            this.element_.parentElement.insertBefore(containerIE, this.element_);\n            this.element_.parentElement.removeChild(this.element_);\n            containerIE.appendChild(this.element_);\n        } else {\n            // For non-IE browsers, we need a div structure that sits behind the\n            // slider and allows us to style the left and right sides of it with\n            // different colors.\n            var container = document.createElement('div');\n            container.classList.add(this.CssClasses_.SLIDER_CONTAINER);\n            this.element_.parentElement.insertBefore(container, this.element_);\n            this.element_.parentElement.removeChild(this.element_);\n            container.appendChild(this.element_);\n            var backgroundFlex = document.createElement('div');\n            backgroundFlex.classList.add(this.CssClasses_.BACKGROUND_FLEX);\n            container.appendChild(backgroundFlex);\n            this.backgroundLower_ = document.createElement('div');\n            this.backgroundLower_.classList.add(this.CssClasses_.BACKGROUND_LOWER);\n            backgroundFlex.appendChild(this.backgroundLower_);\n            this.backgroundUpper_ = document.createElement('div');\n            this.backgroundUpper_.classList.add(this.CssClasses_.BACKGROUND_UPPER);\n            backgroundFlex.appendChild(this.backgroundUpper_);\n        }\n        this.boundInputHandler = this.onInput_.bind(this);\n        this.boundChangeHandler = this.onChange_.bind(this);\n        this.boundMouseUpHandler = this.onMouseUp_.bind(this);\n        this.boundContainerMouseDownHandler = this.onContainerMouseDown_.bind(this);\n        this.element_.addEventListener('input', this.boundInputHandler);\n        this.element_.addEventListener('change', this.boundChangeHandler);\n        this.element_.addEventListener('mouseup', this.boundMouseUpHandler);\n        this.element_.parentElement.addEventListener('mousedown', this.boundContainerMouseDownHandler);\n        this.updateValueStyles_();\n        this.element_.classList.add(this.CssClasses_.IS_UPGRADED);\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialSlider,\n    classAsString: 'MaterialSlider',\n    cssClass: 'mdl-js-slider',\n    widget: true\n});","/**\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Snackbar MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialSnackbar = function MaterialSnackbar(element) {\n    this.element_ = element;\n    this.textElement_ = this.element_.querySelector('.' + this.cssClasses_.MESSAGE);\n    this.actionElement_ = this.element_.querySelector('.' + this.cssClasses_.ACTION);\n    if (!this.textElement_) {\n        throw new Error('There must be a message element for a snackbar.');\n    }\n    if (!this.actionElement_) {\n        throw new Error('There must be an action element for a snackbar.');\n    }\n    this.active = false;\n    this.actionHandler_ = undefined;\n    this.message_ = undefined;\n    this.actionText_ = undefined;\n    this.queuedNotifications_ = [];\n    this.setActionHidden_(true);\n};\nwindow['MaterialSnackbar'] = MaterialSnackbar;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialSnackbar.prototype.Constant_ = {\n    // The duration of the snackbar show/hide animation, in ms.\n    ANIMATION_LENGTH: 250\n};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialSnackbar.prototype.cssClasses_ = {\n    SNACKBAR: 'mdl-snackbar',\n    MESSAGE: 'mdl-snackbar__text',\n    ACTION: 'mdl-snackbar__action',\n    ACTIVE: 'mdl-snackbar--active'\n};\n/**\n   * Display the snackbar.\n   *\n   * @private\n   */\nMaterialSnackbar.prototype.displaySnackbar_ = function () {\n    this.element_.setAttribute('aria-hidden', 'true');\n    if (this.actionHandler_) {\n        this.actionElement_.textContent = this.actionText_;\n        this.actionElement_.addEventListener('click', this.actionHandler_);\n        this.setActionHidden_(false);\n    }\n    this.textElement_.textContent = this.message_;\n    this.element_.classList.add(this.cssClasses_.ACTIVE);\n    this.element_.setAttribute('aria-hidden', 'false');\n    setTimeout(this.cleanup_.bind(this), this.timeout_);\n};\n/**\n   * Show the snackbar.\n   *\n   * @param {Object} data The data for the notification.\n   * @public\n   */\nMaterialSnackbar.prototype.showSnackbar = function (data) {\n    if (data === undefined) {\n        throw new Error('Please provide a data object with at least a message to display.');\n    }\n    if (data['message'] === undefined) {\n        throw new Error('Please provide a message to be displayed.');\n    }\n    if (data['actionHandler'] && !data['actionText']) {\n        throw new Error('Please provide action text with the handler.');\n    }\n    if (this.active) {\n        this.queuedNotifications_.push(data);\n    } else {\n        this.active = true;\n        this.message_ = data['message'];\n        if (data['timeout']) {\n            this.timeout_ = data['timeout'];\n        } else {\n            this.timeout_ = 2750;\n        }\n        if (data['actionHandler']) {\n            this.actionHandler_ = data['actionHandler'];\n        }\n        if (data['actionText']) {\n            this.actionText_ = data['actionText'];\n        }\n        this.displaySnackbar_();\n    }\n};\nMaterialSnackbar.prototype['showSnackbar'] = MaterialSnackbar.prototype.showSnackbar;\n/**\n   * Check if the queue has items within it.\n   * If it does, display the next entry.\n   *\n   * @private\n   */\nMaterialSnackbar.prototype.checkQueue_ = function () {\n    if (this.queuedNotifications_.length > 0) {\n        this.showSnackbar(this.queuedNotifications_.shift());\n    }\n};\n/**\n   * Cleanup the snackbar event listeners and accessiblity attributes.\n   *\n   * @private\n   */\nMaterialSnackbar.prototype.cleanup_ = function () {\n    this.element_.classList.remove(this.cssClasses_.ACTIVE);\n    setTimeout(function () {\n        this.element_.setAttribute('aria-hidden', 'true');\n        this.textElement_.textContent = '';\n        if (!Boolean(this.actionElement_.getAttribute('aria-hidden'))) {\n            this.setActionHidden_(true);\n            this.actionElement_.textContent = '';\n            this.actionElement_.removeEventListener('click', this.actionHandler_);\n        }\n        this.actionHandler_ = undefined;\n        this.message_ = undefined;\n        this.actionText_ = undefined;\n        this.active = false;\n        this.checkQueue_();\n    }.bind(this), this.Constant_.ANIMATION_LENGTH);\n};\n/**\n   * Set the action handler hidden state.\n   *\n   * @param {boolean} value\n   * @private\n   */\nMaterialSnackbar.prototype.setActionHidden_ = function (value) {\n    if (value) {\n        this.actionElement_.setAttribute('aria-hidden', 'true');\n    } else {\n        this.actionElement_.removeAttribute('aria-hidden');\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialSnackbar,\n    classAsString: 'MaterialSnackbar',\n    cssClass: 'mdl-js-snackbar',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Spinner MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @param {HTMLElement} element The element that will be upgraded.\n   * @constructor\n   */\nvar MaterialSpinner = function MaterialSpinner(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialSpinner'] = MaterialSpinner;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialSpinner.prototype.Constant_ = { MDL_SPINNER_LAYER_COUNT: 4 };\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialSpinner.prototype.CssClasses_ = {\n    MDL_SPINNER_LAYER: 'mdl-spinner__layer',\n    MDL_SPINNER_CIRCLE_CLIPPER: 'mdl-spinner__circle-clipper',\n    MDL_SPINNER_CIRCLE: 'mdl-spinner__circle',\n    MDL_SPINNER_GAP_PATCH: 'mdl-spinner__gap-patch',\n    MDL_SPINNER_LEFT: 'mdl-spinner__left',\n    MDL_SPINNER_RIGHT: 'mdl-spinner__right'\n};\n/**\n   * Auxiliary method to create a spinner layer.\n   *\n   * @param {number} index Index of the layer to be created.\n   * @public\n   */\nMaterialSpinner.prototype.createLayer = function (index) {\n    var layer = document.createElement('div');\n    layer.classList.add(this.CssClasses_.MDL_SPINNER_LAYER);\n    layer.classList.add(this.CssClasses_.MDL_SPINNER_LAYER + '-' + index);\n    var leftClipper = document.createElement('div');\n    leftClipper.classList.add(this.CssClasses_.MDL_SPINNER_CIRCLE_CLIPPER);\n    leftClipper.classList.add(this.CssClasses_.MDL_SPINNER_LEFT);\n    var gapPatch = document.createElement('div');\n    gapPatch.classList.add(this.CssClasses_.MDL_SPINNER_GAP_PATCH);\n    var rightClipper = document.createElement('div');\n    rightClipper.classList.add(this.CssClasses_.MDL_SPINNER_CIRCLE_CLIPPER);\n    rightClipper.classList.add(this.CssClasses_.MDL_SPINNER_RIGHT);\n    var circleOwners = [\n        leftClipper,\n        gapPatch,\n        rightClipper\n    ];\n    for (var i = 0; i < circleOwners.length; i++) {\n        var circle = document.createElement('div');\n        circle.classList.add(this.CssClasses_.MDL_SPINNER_CIRCLE);\n        circleOwners[i].appendChild(circle);\n    }\n    layer.appendChild(leftClipper);\n    layer.appendChild(gapPatch);\n    layer.appendChild(rightClipper);\n    this.element_.appendChild(layer);\n};\nMaterialSpinner.prototype['createLayer'] = MaterialSpinner.prototype.createLayer;\n/**\n   * Stops the spinner animation.\n   * Public method for users who need to stop the spinner for any reason.\n   *\n   * @public\n   */\nMaterialSpinner.prototype.stop = function () {\n    this.element_.classList.remove('is-active');\n};\nMaterialSpinner.prototype['stop'] = MaterialSpinner.prototype.stop;\n/**\n   * Starts the spinner animation.\n   * Public method for users who need to manually start the spinner for any reason\n   * (instead of just adding the 'is-active' class to their markup).\n   *\n   * @public\n   */\nMaterialSpinner.prototype.start = function () {\n    this.element_.classList.add('is-active');\n};\nMaterialSpinner.prototype['start'] = MaterialSpinner.prototype.start;\n/**\n   * Initialize element.\n   */\nMaterialSpinner.prototype.init = function () {\n    if (this.element_) {\n        for (var i = 1; i <= this.Constant_.MDL_SPINNER_LAYER_COUNT; i++) {\n            this.createLayer(i);\n        }\n        this.element_.classList.add('is-upgraded');\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialSpinner,\n    classAsString: 'MaterialSpinner',\n    cssClass: 'mdl-js-spinner',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Checkbox MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialSwitch = function MaterialSwitch(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialSwitch'] = MaterialSwitch;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialSwitch.prototype.Constant_ = { TINY_TIMEOUT: 0.001 };\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialSwitch.prototype.CssClasses_ = {\n    INPUT: 'mdl-switch__input',\n    TRACK: 'mdl-switch__track',\n    THUMB: 'mdl-switch__thumb',\n    FOCUS_HELPER: 'mdl-switch__focus-helper',\n    RIPPLE_EFFECT: 'mdl-js-ripple-effect',\n    RIPPLE_IGNORE_EVENTS: 'mdl-js-ripple-effect--ignore-events',\n    RIPPLE_CONTAINER: 'mdl-switch__ripple-container',\n    RIPPLE_CENTER: 'mdl-ripple--center',\n    RIPPLE: 'mdl-ripple',\n    IS_FOCUSED: 'is-focused',\n    IS_DISABLED: 'is-disabled',\n    IS_CHECKED: 'is-checked'\n};\n/**\n   * Handle change of state.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialSwitch.prototype.onChange_ = function (event) {\n    this.updateClasses_();\n};\n/**\n   * Handle focus of element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialSwitch.prototype.onFocus_ = function (event) {\n    this.element_.classList.add(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle lost focus of element.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialSwitch.prototype.onBlur_ = function (event) {\n    this.element_.classList.remove(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle mouseup.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialSwitch.prototype.onMouseUp_ = function (event) {\n    this.blur_();\n};\n/**\n   * Handle class updates.\n   *\n   * @private\n   */\nMaterialSwitch.prototype.updateClasses_ = function () {\n    this.checkDisabled();\n    this.checkToggleState();\n};\n/**\n   * Add blur.\n   *\n   * @private\n   */\nMaterialSwitch.prototype.blur_ = function () {\n    // TODO: figure out why there's a focus event being fired after our blur,\n    // so that we can avoid this hack.\n    window.setTimeout(function () {\n        this.inputElement_.blur();\n    }.bind(this), this.Constant_.TINY_TIMEOUT);\n};\n// Public methods.\n/**\n   * Check the components disabled state.\n   *\n   * @public\n   */\nMaterialSwitch.prototype.checkDisabled = function () {\n    if (this.inputElement_.disabled) {\n        this.element_.classList.add(this.CssClasses_.IS_DISABLED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_DISABLED);\n    }\n};\nMaterialSwitch.prototype['checkDisabled'] = MaterialSwitch.prototype.checkDisabled;\n/**\n   * Check the components toggled state.\n   *\n   * @public\n   */\nMaterialSwitch.prototype.checkToggleState = function () {\n    if (this.inputElement_.checked) {\n        this.element_.classList.add(this.CssClasses_.IS_CHECKED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_CHECKED);\n    }\n};\nMaterialSwitch.prototype['checkToggleState'] = MaterialSwitch.prototype.checkToggleState;\n/**\n   * Disable switch.\n   *\n   * @public\n   */\nMaterialSwitch.prototype.disable = function () {\n    this.inputElement_.disabled = true;\n    this.updateClasses_();\n};\nMaterialSwitch.prototype['disable'] = MaterialSwitch.prototype.disable;\n/**\n   * Enable switch.\n   *\n   * @public\n   */\nMaterialSwitch.prototype.enable = function () {\n    this.inputElement_.disabled = false;\n    this.updateClasses_();\n};\nMaterialSwitch.prototype['enable'] = MaterialSwitch.prototype.enable;\n/**\n   * Activate switch.\n   *\n   * @public\n   */\nMaterialSwitch.prototype.on = function () {\n    this.inputElement_.checked = true;\n    this.updateClasses_();\n};\nMaterialSwitch.prototype['on'] = MaterialSwitch.prototype.on;\n/**\n   * Deactivate switch.\n   *\n   * @public\n   */\nMaterialSwitch.prototype.off = function () {\n    this.inputElement_.checked = false;\n    this.updateClasses_();\n};\nMaterialSwitch.prototype['off'] = MaterialSwitch.prototype.off;\n/**\n   * Initialize element.\n   */\nMaterialSwitch.prototype.init = function () {\n    if (this.element_) {\n        this.inputElement_ = this.element_.querySelector('.' + this.CssClasses_.INPUT);\n        var track = document.createElement('div');\n        track.classList.add(this.CssClasses_.TRACK);\n        var thumb = document.createElement('div');\n        thumb.classList.add(this.CssClasses_.THUMB);\n        var focusHelper = document.createElement('span');\n        focusHelper.classList.add(this.CssClasses_.FOCUS_HELPER);\n        thumb.appendChild(focusHelper);\n        this.element_.appendChild(track);\n        this.element_.appendChild(thumb);\n        this.boundMouseUpHandler = this.onMouseUp_.bind(this);\n        if (this.element_.classList.contains(this.CssClasses_.RIPPLE_EFFECT)) {\n            this.element_.classList.add(this.CssClasses_.RIPPLE_IGNORE_EVENTS);\n            this.rippleContainerElement_ = document.createElement('span');\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CONTAINER);\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_EFFECT);\n            this.rippleContainerElement_.classList.add(this.CssClasses_.RIPPLE_CENTER);\n            this.rippleContainerElement_.addEventListener('mouseup', this.boundMouseUpHandler);\n            var ripple = document.createElement('span');\n            ripple.classList.add(this.CssClasses_.RIPPLE);\n            this.rippleContainerElement_.appendChild(ripple);\n            this.element_.appendChild(this.rippleContainerElement_);\n        }\n        this.boundChangeHandler = this.onChange_.bind(this);\n        this.boundFocusHandler = this.onFocus_.bind(this);\n        this.boundBlurHandler = this.onBlur_.bind(this);\n        this.inputElement_.addEventListener('change', this.boundChangeHandler);\n        this.inputElement_.addEventListener('focus', this.boundFocusHandler);\n        this.inputElement_.addEventListener('blur', this.boundBlurHandler);\n        this.element_.addEventListener('mouseup', this.boundMouseUpHandler);\n        this.updateClasses_();\n        this.element_.classList.add('is-upgraded');\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialSwitch,\n    classAsString: 'MaterialSwitch',\n    cssClass: 'mdl-js-switch',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Textfield MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialTextfield = function MaterialTextfield(element) {\n    this.element_ = element;\n    this.maxRows = this.Constant_.NO_MAX_ROWS;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialTextfield'] = MaterialTextfield;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialTextfield.prototype.Constant_ = {\n    NO_MAX_ROWS: -1,\n    MAX_ROWS_ATTRIBUTE: 'maxrows'\n};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialTextfield.prototype.CssClasses_ = {\n    LABEL: 'mdl-textfield__label',\n    INPUT: 'mdl-textfield__input',\n    IS_DIRTY: 'is-dirty',\n    IS_FOCUSED: 'is-focused',\n    IS_DISABLED: 'is-disabled',\n    IS_INVALID: 'is-invalid',\n    IS_UPGRADED: 'is-upgraded',\n    HAS_PLACEHOLDER: 'has-placeholder'\n};\n/**\n   * Handle input being entered.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialTextfield.prototype.onKeyDown_ = function (event) {\n    var currentRowCount = event.target.value.split('\\n').length;\n    if (event.keyCode === 13) {\n        if (currentRowCount >= this.maxRows) {\n            event.preventDefault();\n        }\n    }\n};\n/**\n   * Handle focus.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialTextfield.prototype.onFocus_ = function (event) {\n    this.element_.classList.add(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle lost focus.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialTextfield.prototype.onBlur_ = function (event) {\n    this.element_.classList.remove(this.CssClasses_.IS_FOCUSED);\n};\n/**\n   * Handle reset event from out side.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialTextfield.prototype.onReset_ = function (event) {\n    this.updateClasses_();\n};\n/**\n   * Handle class updates.\n   *\n   * @private\n   */\nMaterialTextfield.prototype.updateClasses_ = function () {\n    this.checkDisabled();\n    this.checkValidity();\n    this.checkDirty();\n    this.checkFocus();\n};\n// Public methods.\n/**\n   * Check the disabled state and update field accordingly.\n   *\n   * @public\n   */\nMaterialTextfield.prototype.checkDisabled = function () {\n    if (this.input_.disabled) {\n        this.element_.classList.add(this.CssClasses_.IS_DISABLED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_DISABLED);\n    }\n};\nMaterialTextfield.prototype['checkDisabled'] = MaterialTextfield.prototype.checkDisabled;\n/**\n  * Check the focus state and update field accordingly.\n  *\n  * @public\n  */\nMaterialTextfield.prototype.checkFocus = function () {\n    if (Boolean(this.element_.querySelector(':focus'))) {\n        this.element_.classList.add(this.CssClasses_.IS_FOCUSED);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_FOCUSED);\n    }\n};\nMaterialTextfield.prototype['checkFocus'] = MaterialTextfield.prototype.checkFocus;\n/**\n   * Check the validity state and update field accordingly.\n   *\n   * @public\n   */\nMaterialTextfield.prototype.checkValidity = function () {\n    if (this.input_.validity) {\n        if (this.input_.validity.valid) {\n            this.element_.classList.remove(this.CssClasses_.IS_INVALID);\n        } else {\n            this.element_.classList.add(this.CssClasses_.IS_INVALID);\n        }\n    }\n};\nMaterialTextfield.prototype['checkValidity'] = MaterialTextfield.prototype.checkValidity;\n/**\n   * Check the dirty state and update field accordingly.\n   *\n   * @public\n   */\nMaterialTextfield.prototype.checkDirty = function () {\n    if (this.input_.value && this.input_.value.length > 0) {\n        this.element_.classList.add(this.CssClasses_.IS_DIRTY);\n    } else {\n        this.element_.classList.remove(this.CssClasses_.IS_DIRTY);\n    }\n};\nMaterialTextfield.prototype['checkDirty'] = MaterialTextfield.prototype.checkDirty;\n/**\n   * Disable text field.\n   *\n   * @public\n   */\nMaterialTextfield.prototype.disable = function () {\n    this.input_.disabled = true;\n    this.updateClasses_();\n};\nMaterialTextfield.prototype['disable'] = MaterialTextfield.prototype.disable;\n/**\n   * Enable text field.\n   *\n   * @public\n   */\nMaterialTextfield.prototype.enable = function () {\n    this.input_.disabled = false;\n    this.updateClasses_();\n};\nMaterialTextfield.prototype['enable'] = MaterialTextfield.prototype.enable;\n/**\n   * Update text field value.\n   *\n   * @param {string} value The value to which to set the control (optional).\n   * @public\n   */\nMaterialTextfield.prototype.change = function (value) {\n    this.input_.value = value || '';\n    this.updateClasses_();\n};\nMaterialTextfield.prototype['change'] = MaterialTextfield.prototype.change;\n/**\n   * Initialize element.\n   */\nMaterialTextfield.prototype.init = function () {\n    if (this.element_) {\n        this.label_ = this.element_.querySelector('.' + this.CssClasses_.LABEL);\n        this.input_ = this.element_.querySelector('.' + this.CssClasses_.INPUT);\n        if (this.input_) {\n            if (this.input_.hasAttribute(this.Constant_.MAX_ROWS_ATTRIBUTE)) {\n                this.maxRows = parseInt(this.input_.getAttribute(this.Constant_.MAX_ROWS_ATTRIBUTE), 10);\n                if (isNaN(this.maxRows)) {\n                    this.maxRows = this.Constant_.NO_MAX_ROWS;\n                }\n            }\n            if (this.input_.hasAttribute('placeholder')) {\n                this.element_.classList.add(this.CssClasses_.HAS_PLACEHOLDER);\n            }\n            this.boundUpdateClassesHandler = this.updateClasses_.bind(this);\n            this.boundFocusHandler = this.onFocus_.bind(this);\n            this.boundBlurHandler = this.onBlur_.bind(this);\n            this.boundResetHandler = this.onReset_.bind(this);\n            this.input_.addEventListener('input', this.boundUpdateClassesHandler);\n            this.input_.addEventListener('focus', this.boundFocusHandler);\n            this.input_.addEventListener('blur', this.boundBlurHandler);\n            this.input_.addEventListener('reset', this.boundResetHandler);\n            if (this.maxRows !== this.Constant_.NO_MAX_ROWS) {\n                // TODO: This should handle pasting multi line text.\n                // Currently doesn't.\n                this.boundKeyDownHandler = this.onKeyDown_.bind(this);\n                this.input_.addEventListener('keydown', this.boundKeyDownHandler);\n            }\n            var invalid = this.element_.classList.contains(this.CssClasses_.IS_INVALID);\n            this.updateClasses_();\n            this.element_.classList.add(this.CssClasses_.IS_UPGRADED);\n            if (invalid) {\n                this.element_.classList.add(this.CssClasses_.IS_INVALID);\n            }\n            if (this.input_.hasAttribute('autofocus')) {\n                this.element_.focus();\n                this.checkFocus();\n            }\n        }\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialTextfield,\n    classAsString: 'MaterialTextfield',\n    cssClass: 'mdl-js-textfield',\n    widget: true\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Tooltip MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {HTMLElement} element The element that will be upgraded.\n   */\nvar MaterialTooltip = function MaterialTooltip(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialTooltip'] = MaterialTooltip;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialTooltip.prototype.Constant_ = {};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialTooltip.prototype.CssClasses_ = {\n    IS_ACTIVE: 'is-active',\n    BOTTOM: 'mdl-tooltip--bottom',\n    LEFT: 'mdl-tooltip--left',\n    RIGHT: 'mdl-tooltip--right',\n    TOP: 'mdl-tooltip--top'\n};\n/**\n   * Handle mouseenter for tooltip.\n   *\n   * @param {Event} event The event that fired.\n   * @private\n   */\nMaterialTooltip.prototype.handleMouseEnter_ = function (event) {\n    var props = event.target.getBoundingClientRect();\n    var left = props.left + props.width / 2;\n    var top = props.top + props.height / 2;\n    var marginLeft = -1 * (this.element_.offsetWidth / 2);\n    var marginTop = -1 * (this.element_.offsetHeight / 2);\n    if (this.element_.classList.contains(this.CssClasses_.LEFT) || this.element_.classList.contains(this.CssClasses_.RIGHT)) {\n        left = props.width / 2;\n        if (top + marginTop < 0) {\n            this.element_.style.top = '0';\n            this.element_.style.marginTop = '0';\n        } else {\n            this.element_.style.top = top + 'px';\n            this.element_.style.marginTop = marginTop + 'px';\n        }\n    } else {\n        if (left + marginLeft < 0) {\n            this.element_.style.left = '0';\n            this.element_.style.marginLeft = '0';\n        } else {\n            this.element_.style.left = left + 'px';\n            this.element_.style.marginLeft = marginLeft + 'px';\n        }\n    }\n    if (this.element_.classList.contains(this.CssClasses_.TOP)) {\n        this.element_.style.top = props.top - this.element_.offsetHeight - 10 + 'px';\n    } else if (this.element_.classList.contains(this.CssClasses_.RIGHT)) {\n        this.element_.style.left = props.left + props.width + 10 + 'px';\n    } else if (this.element_.classList.contains(this.CssClasses_.LEFT)) {\n        this.element_.style.left = props.left - this.element_.offsetWidth - 10 + 'px';\n    } else {\n        this.element_.style.top = props.top + props.height + 10 + 'px';\n    }\n    this.element_.classList.add(this.CssClasses_.IS_ACTIVE);\n};\n/**\n   * Hide tooltip on mouseleave or scroll\n   *\n   * @private\n   */\nMaterialTooltip.prototype.hideTooltip_ = function () {\n    this.element_.classList.remove(this.CssClasses_.IS_ACTIVE);\n};\n/**\n   * Initialize element.\n   */\nMaterialTooltip.prototype.init = function () {\n    if (this.element_) {\n        var forElId = this.element_.getAttribute('for') || this.element_.getAttribute('data-mdl-for');\n        if (forElId) {\n            this.forElement_ = document.getElementById(forElId);\n        }\n        if (this.forElement_) {\n            // It's left here because it prevents accidental text selection on Android\n            if (!this.forElement_.hasAttribute('tabindex')) {\n                this.forElement_.setAttribute('tabindex', '0');\n            }\n            this.boundMouseEnterHandler = this.handleMouseEnter_.bind(this);\n            this.boundMouseLeaveAndScrollHandler = this.hideTooltip_.bind(this);\n            this.forElement_.addEventListener('mouseenter', this.boundMouseEnterHandler, false);\n            this.forElement_.addEventListener('touchend', this.boundMouseEnterHandler, false);\n            this.forElement_.addEventListener('mouseleave', this.boundMouseLeaveAndScrollHandler, false);\n            window.addEventListener('scroll', this.boundMouseLeaveAndScrollHandler, true);\n            window.addEventListener('touchstart', this.boundMouseLeaveAndScrollHandler);\n        }\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialTooltip,\n    classAsString: 'MaterialTooltip',\n    cssClass: 'mdl-tooltip'\n});","/**\n * @license\n * Copyright 2015 Google Inc. All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n/**\n   * Class constructor for Data Table Card MDL component.\n   * Implements MDL component design pattern defined at:\n   * https://github.com/jasonmayes/mdl-component-design-pattern\n   *\n   * @constructor\n   * @param {Element} element The element that will be upgraded.\n   */\nvar MaterialDataTable = function MaterialDataTable(element) {\n    this.element_ = element;\n    // Initialize instance.\n    this.init();\n};\nwindow['MaterialDataTable'] = MaterialDataTable;\n/**\n   * Store constants in one place so they can be updated easily.\n   *\n   * @enum {string | number}\n   * @private\n   */\nMaterialDataTable.prototype.Constant_ = {};\n/**\n   * Store strings for class names defined by this component that are used in\n   * JavaScript. This allows us to simply change it in one place should we\n   * decide to modify at a later date.\n   *\n   * @enum {string}\n   * @private\n   */\nMaterialDataTable.prototype.CssClasses_ = {\n    DATA_TABLE: 'mdl-data-table',\n    SELECTABLE: 'mdl-data-table--selectable',\n    SELECT_ELEMENT: 'mdl-data-table__select',\n    IS_SELECTED: 'is-selected',\n    IS_UPGRADED: 'is-upgraded'\n};\n/**\n   * Generates and returns a function that toggles the selection state of a\n   * single row (or multiple rows).\n   *\n   * @param {Element} checkbox Checkbox that toggles the selection state.\n   * @param {Element} row Row to toggle when checkbox changes.\n   * @param {(Array<Object>|NodeList)=} opt_rows Rows to toggle when checkbox changes.\n   * @private\n   */\nMaterialDataTable.prototype.selectRow_ = function (checkbox, row, opt_rows) {\n    if (row) {\n        return function () {\n            if (checkbox.checked) {\n                row.classList.add(this.CssClasses_.IS_SELECTED);\n            } else {\n                row.classList.remove(this.CssClasses_.IS_SELECTED);\n            }\n        }.bind(this);\n    }\n    if (opt_rows) {\n        return function () {\n            var i;\n            var el;\n            if (checkbox.checked) {\n                for (i = 0; i < opt_rows.length; i++) {\n                    el = opt_rows[i].querySelector('td').querySelector('.mdl-checkbox');\n                    el['MaterialCheckbox'].check();\n                    opt_rows[i].classList.add(this.CssClasses_.IS_SELECTED);\n                }\n            } else {\n                for (i = 0; i < opt_rows.length; i++) {\n                    el = opt_rows[i].querySelector('td').querySelector('.mdl-checkbox');\n                    el['MaterialCheckbox'].uncheck();\n                    opt_rows[i].classList.remove(this.CssClasses_.IS_SELECTED);\n                }\n            }\n        }.bind(this);\n    }\n};\n/**\n   * Creates a checkbox for a single or or multiple rows and hooks up the\n   * event handling.\n   *\n   * @param {Element} row Row to toggle when checkbox changes.\n   * @param {(Array<Object>|NodeList)=} opt_rows Rows to toggle when checkbox changes.\n   * @private\n   */\nMaterialDataTable.prototype.createCheckbox_ = function (row, opt_rows) {\n    var label = document.createElement('label');\n    var labelClasses = [\n        'mdl-checkbox',\n        'mdl-js-checkbox',\n        'mdl-js-ripple-effect',\n        this.CssClasses_.SELECT_ELEMENT\n    ];\n    label.className = labelClasses.join(' ');\n    var checkbox = document.createElement('input');\n    checkbox.type = 'checkbox';\n    checkbox.classList.add('mdl-checkbox__input');\n    if (row) {\n        checkbox.checked = row.classList.contains(this.CssClasses_.IS_SELECTED);\n        checkbox.addEventListener('change', this.selectRow_(checkbox, row));\n    } else if (opt_rows) {\n        checkbox.addEventListener('change', this.selectRow_(checkbox, null, opt_rows));\n    }\n    label.appendChild(checkbox);\n    componentHandler.upgradeElement(label, 'MaterialCheckbox');\n    return label;\n};\n/**\n   * Initialize element.\n   */\nMaterialDataTable.prototype.init = function () {\n    if (this.element_) {\n        var firstHeader = this.element_.querySelector('th');\n        var bodyRows = Array.prototype.slice.call(this.element_.querySelectorAll('tbody tr'));\n        var footRows = Array.prototype.slice.call(this.element_.querySelectorAll('tfoot tr'));\n        var rows = bodyRows.concat(footRows);\n        if (this.element_.classList.contains(this.CssClasses_.SELECTABLE)) {\n            var th = document.createElement('th');\n            var headerCheckbox = this.createCheckbox_(null, rows);\n            th.appendChild(headerCheckbox);\n            firstHeader.parentElement.insertBefore(th, firstHeader);\n            for (var i = 0; i < rows.length; i++) {\n                var firstCell = rows[i].querySelector('td');\n                if (firstCell) {\n                    var td = document.createElement('td');\n                    if (rows[i].parentNode.nodeName.toUpperCase() === 'TBODY') {\n                        var rowCheckbox = this.createCheckbox_(rows[i]);\n                        td.appendChild(rowCheckbox);\n                    }\n                    rows[i].insertBefore(td, firstCell);\n                }\n            }\n            this.element_.classList.add(this.CssClasses_.IS_UPGRADED);\n        }\n    }\n};\n// The component registers itself. It can assume componentHandler is available\n// in the global scope.\ncomponentHandler.register({\n    constructor: MaterialDataTable,\n    classAsString: 'MaterialDataTable',\n    cssClass: 'mdl-js-data-table'\n});","// https://github.com/zloirock/core-js/issues/86#issuecomment-115759028\nvar global = module.exports = typeof window != 'undefined' && window.Math == Math\n  ? window : typeof self != 'undefined' && self.Math == Math ? self\n  // eslint-disable-next-line no-new-func\n  : Function('return this')();\nif (typeof __g == 'number') __g = global; // eslint-disable-line no-undef\n","var hasOwnProperty = {}.hasOwnProperty;\nmodule.exports = function (it, key) {\n  return hasOwnProperty.call(it, key);\n};\n","module.exports = function (exec) {\n  try {\n    return !!exec();\n  } catch (e) {\n    return true;\n  }\n};\n","// Thank's IE8 for his funny defineProperty\nmodule.exports = !require('./_fails')(function () {\n  return Object.defineProperty({}, 'a', { get: function () { return 7; } }).a != 7;\n});\n","var core = module.exports = { version: '2.6.11' };\nif (typeof __e == 'number') __e = core; // eslint-disable-line no-undef\n","module.exports = function (it) {\n  return typeof it === 'object' ? it !== null : typeof it === 'function';\n};\n","var isObject = require('./_is-object');\nmodule.exports = function (it) {\n  if (!isObject(it)) throw TypeError(it + ' is not an object!');\n  return it;\n};\n","var isObject = require('./_is-object');\nvar document = require('./_global').document;\n// typeof document.createElement is 'object' in old IE\nvar is = isObject(document) && isObject(document.createElement);\nmodule.exports = function (it) {\n  return is ? document.createElement(it) : {};\n};\n","module.exports = !require('./_descriptors') && !require('./_fails')(function () {\n  return Object.defineProperty(require('./_dom-create')('div'), 'a', { get: function () { return 7; } }).a != 7;\n});\n","// 7.1.1 ToPrimitive(input [, PreferredType])\nvar isObject = require('./_is-object');\n// instead of the ES6 spec version, we didn't implement @@toPrimitive case\n// and the second argument - flag - preferred type is a string\nmodule.exports = function (it, S) {\n  if (!isObject(it)) return it;\n  var fn, val;\n  if (S && typeof (fn = it.toString) == 'function' && !isObject(val = fn.call(it))) return val;\n  if (typeof (fn = it.valueOf) == 'function' && !isObject(val = fn.call(it))) return val;\n  if (!S && typeof (fn = it.toString) == 'function' && !isObject(val = fn.call(it))) return val;\n  throw TypeError(\"Can't convert object to primitive value\");\n};\n","var anObject = require('./_an-object');\nvar IE8_DOM_DEFINE = require('./_ie8-dom-define');\nvar toPrimitive = require('./_to-primitive');\nvar dP = Object.defineProperty;\n\nexports.f = require('./_descriptors') ? Object.defineProperty : function defineProperty(O, P, Attributes) {\n  anObject(O);\n  P = toPrimitive(P, true);\n  anObject(Attributes);\n  if (IE8_DOM_DEFINE) try {\n    return dP(O, P, Attributes);\n  } catch (e) { /* empty */ }\n  if ('get' in Attributes || 'set' in Attributes) throw TypeError('Accessors not supported!');\n  if ('value' in Attributes) O[P] = Attributes.value;\n  return O;\n};\n","module.exports = function (bitmap, value) {\n  return {\n    enumerable: !(bitmap & 1),\n    configurable: !(bitmap & 2),\n    writable: !(bitmap & 4),\n    value: value\n  };\n};\n","var dP = require('./_object-dp');\nvar createDesc = require('./_property-desc');\nmodule.exports = require('./_descriptors') ? function (object, key, value) {\n  return dP.f(object, key, createDesc(1, value));\n} : function (object, key, value) {\n  object[key] = value;\n  return object;\n};\n","var id = 0;\nvar px = Math.random();\nmodule.exports = function (key) {\n  return 'Symbol('.concat(key === undefined ? '' : key, ')_', (++id + px).toString(36));\n};\n","module.exports = false;\n","var core = require('./_core');\nvar global = require('./_global');\nvar SHARED = '__core-js_shared__';\nvar store = global[SHARED] || (global[SHARED] = {});\n\n(module.exports = function (key, value) {\n  return store[key] || (store[key] = value !== undefined ? value : {});\n})('versions', []).push({\n  version: core.version,\n  mode: require('./_library') ? 'pure' : 'global',\n  copyright: '© 2019 Denis Pushkarev (zloirock.ru)'\n});\n","module.exports = require('./_shared')('native-function-to-string', Function.toString);\n","var global = require('./_global');\nvar hide = require('./_hide');\nvar has = require('./_has');\nvar SRC = require('./_uid')('src');\nvar $toString = require('./_function-to-string');\nvar TO_STRING = 'toString';\nvar TPL = ('' + $toString).split(TO_STRING);\n\nrequire('./_core').inspectSource = function (it) {\n  return $toString.call(it);\n};\n\n(module.exports = function (O, key, val, safe) {\n  var isFunction = typeof val == 'function';\n  if (isFunction) has(val, 'name') || hide(val, 'name', key);\n  if (O[key] === val) return;\n  if (isFunction) has(val, SRC) || hide(val, SRC, O[key] ? '' + O[key] : TPL.join(String(key)));\n  if (O === global) {\n    O[key] = val;\n  } else if (!safe) {\n    delete O[key];\n    hide(O, key, val);\n  } else if (O[key]) {\n    O[key] = val;\n  } else {\n    hide(O, key, val);\n  }\n// add fake Function#toString for correct work wrapped methods / constructors with methods like LoDash isNative\n})(Function.prototype, TO_STRING, function toString() {\n  return typeof this == 'function' && this[SRC] || $toString.call(this);\n});\n","module.exports = function (it) {\n  if (typeof it != 'function') throw TypeError(it + ' is not a function!');\n  return it;\n};\n","// optional / simple context binding\nvar aFunction = require('./_a-function');\nmodule.exports = function (fn, that, length) {\n  aFunction(fn);\n  if (that === undefined) return fn;\n  switch (length) {\n    case 1: return function (a) {\n      return fn.call(that, a);\n    };\n    case 2: return function (a, b) {\n      return fn.call(that, a, b);\n    };\n    case 3: return function (a, b, c) {\n      return fn.call(that, a, b, c);\n    };\n  }\n  return function (/* ...args */) {\n    return fn.apply(that, arguments);\n  };\n};\n","var global = require('./_global');\nvar core = require('./_core');\nvar hide = require('./_hide');\nvar redefine = require('./_redefine');\nvar ctx = require('./_ctx');\nvar PROTOTYPE = 'prototype';\n\nvar $export = function (type, name, source) {\n  var IS_FORCED = type & $export.F;\n  var IS_GLOBAL = type & $export.G;\n  var IS_STATIC = type & $export.S;\n  var IS_PROTO = type & $export.P;\n  var IS_BIND = type & $export.B;\n  var target = IS_GLOBAL ? global : IS_STATIC ? global[name] || (global[name] = {}) : (global[name] || {})[PROTOTYPE];\n  var exports = IS_GLOBAL ? core : core[name] || (core[name] = {});\n  var expProto = exports[PROTOTYPE] || (exports[PROTOTYPE] = {});\n  var key, own, out, exp;\n  if (IS_GLOBAL) source = name;\n  for (key in source) {\n    // contains in native\n    own = !IS_FORCED && target && target[key] !== undefined;\n    // export native or passed\n    out = (own ? target : source)[key];\n    // bind timers to global for call from export context\n    exp = IS_BIND && own ? ctx(out, global) : IS_PROTO && typeof out == 'function' ? ctx(Function.call, out) : out;\n    // extend global\n    if (target) redefine(target, key, out, type & $export.U);\n    // export\n    if (exports[key] != out) hide(exports, key, exp);\n    if (IS_PROTO && expProto[key] != out) expProto[key] = out;\n  }\n};\nglobal.core = core;\n// type bitmap\n$export.F = 1;   // forced\n$export.G = 2;   // global\n$export.S = 4;   // static\n$export.P = 8;   // proto\n$export.B = 16;  // bind\n$export.W = 32;  // wrap\n$export.U = 64;  // safe\n$export.R = 128; // real proto method for `library`\nmodule.exports = $export;\n","var META = require('./_uid')('meta');\nvar isObject = require('./_is-object');\nvar has = require('./_has');\nvar setDesc = require('./_object-dp').f;\nvar id = 0;\nvar isExtensible = Object.isExtensible || function () {\n  return true;\n};\nvar FREEZE = !require('./_fails')(function () {\n  return isExtensible(Object.preventExtensions({}));\n});\nvar setMeta = function (it) {\n  setDesc(it, META, { value: {\n    i: 'O' + ++id, // object ID\n    w: {}          // weak collections IDs\n  } });\n};\nvar fastKey = function (it, create) {\n  // return primitive with prefix\n  if (!isObject(it)) return typeof it == 'symbol' ? it : (typeof it == 'string' ? 'S' : 'P') + it;\n  if (!has(it, META)) {\n    // can't set metadata to uncaught frozen object\n    if (!isExtensible(it)) return 'F';\n    // not necessary to add metadata\n    if (!create) return 'E';\n    // add missing metadata\n    setMeta(it);\n  // return object ID\n  } return it[META].i;\n};\nvar getWeak = function (it, create) {\n  if (!has(it, META)) {\n    // can't set metadata to uncaught frozen object\n    if (!isExtensible(it)) return true;\n    // not necessary to add metadata\n    if (!create) return false;\n    // add missing metadata\n    setMeta(it);\n  // return hash weak collections IDs\n  } return it[META].w;\n};\n// add metadata on freeze-family methods calling\nvar onFreeze = function (it) {\n  if (FREEZE && meta.NEED && isExtensible(it) && !has(it, META)) setMeta(it);\n  return it;\n};\nvar meta = module.exports = {\n  KEY: META,\n  NEED: false,\n  fastKey: fastKey,\n  getWeak: getWeak,\n  onFreeze: onFreeze\n};\n","var store = require('./_shared')('wks');\nvar uid = require('./_uid');\nvar Symbol = require('./_global').Symbol;\nvar USE_SYMBOL = typeof Symbol == 'function';\n\nvar $exports = module.exports = function (name) {\n  return store[name] || (store[name] =\n    USE_SYMBOL && Symbol[name] || (USE_SYMBOL ? Symbol : uid)('Symbol.' + name));\n};\n\n$exports.store = store;\n","var def = require('./_object-dp').f;\nvar has = require('./_has');\nvar TAG = require('./_wks')('toStringTag');\n\nmodule.exports = function (it, tag, stat) {\n  if (it && !has(it = stat ? it : it.prototype, TAG)) def(it, TAG, { configurable: true, value: tag });\n};\n","exports.f = require('./_wks');\n","var global = require('./_global');\nvar core = require('./_core');\nvar LIBRARY = require('./_library');\nvar wksExt = require('./_wks-ext');\nvar defineProperty = require('./_object-dp').f;\nmodule.exports = function (name) {\n  var $Symbol = core.Symbol || (core.Symbol = LIBRARY ? {} : global.Symbol || {});\n  if (name.charAt(0) != '_' && !(name in $Symbol)) defineProperty($Symbol, name, { value: wksExt.f(name) });\n};\n","var toString = {}.toString;\n\nmodule.exports = function (it) {\n  return toString.call(it).slice(8, -1);\n};\n","// fallback for non-array-like ES3 and non-enumerable old V8 strings\nvar cof = require('./_cof');\n// eslint-disable-next-line no-prototype-builtins\nmodule.exports = Object('z').propertyIsEnumerable(0) ? Object : function (it) {\n  return cof(it) == 'String' ? it.split('') : Object(it);\n};\n","// 7.2.1 RequireObjectCoercible(argument)\nmodule.exports = function (it) {\n  if (it == undefined) throw TypeError(\"Can't call method on  \" + it);\n  return it;\n};\n","// to indexed object, toObject with fallback for non-array-like ES3 strings\nvar IObject = require('./_iobject');\nvar defined = require('./_defined');\nmodule.exports = function (it) {\n  return IObject(defined(it));\n};\n","// 7.1.4 ToInteger\nvar ceil = Math.ceil;\nvar floor = Math.floor;\nmodule.exports = function (it) {\n  return isNaN(it = +it) ? 0 : (it > 0 ? floor : ceil)(it);\n};\n","// 7.1.15 ToLength\nvar toInteger = require('./_to-integer');\nvar min = Math.min;\nmodule.exports = function (it) {\n  return it > 0 ? min(toInteger(it), 0x1fffffffffffff) : 0; // pow(2, 53) - 1 == 9007199254740991\n};\n","var toInteger = require('./_to-integer');\nvar max = Math.max;\nvar min = Math.min;\nmodule.exports = function (index, length) {\n  index = toInteger(index);\n  return index < 0 ? max(index + length, 0) : min(index, length);\n};\n","// false -> Array#indexOf\n// true  -> Array#includes\nvar toIObject = require('./_to-iobject');\nvar toLength = require('./_to-length');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nmodule.exports = function (IS_INCLUDES) {\n  return function ($this, el, fromIndex) {\n    var O = toIObject($this);\n    var length = toLength(O.length);\n    var index = toAbsoluteIndex(fromIndex, length);\n    var value;\n    // Array#includes uses SameValueZero equality algorithm\n    // eslint-disable-next-line no-self-compare\n    if (IS_INCLUDES && el != el) while (length > index) {\n      value = O[index++];\n      // eslint-disable-next-line no-self-compare\n      if (value != value) return true;\n    // Array#indexOf ignores holes, Array#includes - not\n    } else for (;length > index; index++) if (IS_INCLUDES || index in O) {\n      if (O[index] === el) return IS_INCLUDES || index || 0;\n    } return !IS_INCLUDES && -1;\n  };\n};\n","var shared = require('./_shared')('keys');\nvar uid = require('./_uid');\nmodule.exports = function (key) {\n  return shared[key] || (shared[key] = uid(key));\n};\n","var has = require('./_has');\nvar toIObject = require('./_to-iobject');\nvar arrayIndexOf = require('./_array-includes')(false);\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\n\nmodule.exports = function (object, names) {\n  var O = toIObject(object);\n  var i = 0;\n  var result = [];\n  var key;\n  for (key in O) if (key != IE_PROTO) has(O, key) && result.push(key);\n  // Don't enum bug & hidden keys\n  while (names.length > i) if (has(O, key = names[i++])) {\n    ~arrayIndexOf(result, key) || result.push(key);\n  }\n  return result;\n};\n","// IE 8- don't enum bug keys\nmodule.exports = (\n  'constructor,hasOwnProperty,isPrototypeOf,propertyIsEnumerable,toLocaleString,toString,valueOf'\n).split(',');\n","// 19.1.2.14 / 15.2.3.14 Object.keys(O)\nvar $keys = require('./_object-keys-internal');\nvar enumBugKeys = require('./_enum-bug-keys');\n\nmodule.exports = Object.keys || function keys(O) {\n  return $keys(O, enumBugKeys);\n};\n","exports.f = Object.getOwnPropertySymbols;\n","exports.f = {}.propertyIsEnumerable;\n","// all enumerable object keys, includes symbols\nvar getKeys = require('./_object-keys');\nvar gOPS = require('./_object-gops');\nvar pIE = require('./_object-pie');\nmodule.exports = function (it) {\n  var result = getKeys(it);\n  var getSymbols = gOPS.f;\n  if (getSymbols) {\n    var symbols = getSymbols(it);\n    var isEnum = pIE.f;\n    var i = 0;\n    var key;\n    while (symbols.length > i) if (isEnum.call(it, key = symbols[i++])) result.push(key);\n  } return result;\n};\n","// 7.2.2 IsArray(argument)\nvar cof = require('./_cof');\nmodule.exports = Array.isArray || function isArray(arg) {\n  return cof(arg) == 'Array';\n};\n","// 7.1.13 ToObject(argument)\nvar defined = require('./_defined');\nmodule.exports = function (it) {\n  return Object(defined(it));\n};\n","var dP = require('./_object-dp');\nvar anObject = require('./_an-object');\nvar getKeys = require('./_object-keys');\n\nmodule.exports = require('./_descriptors') ? Object.defineProperties : function defineProperties(O, Properties) {\n  anObject(O);\n  var keys = getKeys(Properties);\n  var length = keys.length;\n  var i = 0;\n  var P;\n  while (length > i) dP.f(O, P = keys[i++], Properties[P]);\n  return O;\n};\n","var document = require('./_global').document;\nmodule.exports = document && document.documentElement;\n","// 19.1.2.2 / 15.2.3.5 Object.create(O [, Properties])\nvar anObject = require('./_an-object');\nvar dPs = require('./_object-dps');\nvar enumBugKeys = require('./_enum-bug-keys');\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\nvar Empty = function () { /* empty */ };\nvar PROTOTYPE = 'prototype';\n\n// Create object with fake `null` prototype: use iframe Object with cleared prototype\nvar createDict = function () {\n  // Thrash, waste and sodomy: IE GC bug\n  var iframe = require('./_dom-create')('iframe');\n  var i = enumBugKeys.length;\n  var lt = '<';\n  var gt = '>';\n  var iframeDocument;\n  iframe.style.display = 'none';\n  require('./_html').appendChild(iframe);\n  iframe.src = 'javascript:'; // eslint-disable-line no-script-url\n  // createDict = iframe.contentWindow.Object;\n  // html.removeChild(iframe);\n  iframeDocument = iframe.contentWindow.document;\n  iframeDocument.open();\n  iframeDocument.write(lt + 'script' + gt + 'document.F=Object' + lt + '/script' + gt);\n  iframeDocument.close();\n  createDict = iframeDocument.F;\n  while (i--) delete createDict[PROTOTYPE][enumBugKeys[i]];\n  return createDict();\n};\n\nmodule.exports = Object.create || function create(O, Properties) {\n  var result;\n  if (O !== null) {\n    Empty[PROTOTYPE] = anObject(O);\n    result = new Empty();\n    Empty[PROTOTYPE] = null;\n    // add \"__proto__\" for Object.getPrototypeOf polyfill\n    result[IE_PROTO] = O;\n  } else result = createDict();\n  return Properties === undefined ? result : dPs(result, Properties);\n};\n","// 19.1.2.7 / 15.2.3.4 Object.getOwnPropertyNames(O)\nvar $keys = require('./_object-keys-internal');\nvar hiddenKeys = require('./_enum-bug-keys').concat('length', 'prototype');\n\nexports.f = Object.getOwnPropertyNames || function getOwnPropertyNames(O) {\n  return $keys(O, hiddenKeys);\n};\n","// fallback for IE11 buggy Object.getOwnPropertyNames with iframe and window\nvar toIObject = require('./_to-iobject');\nvar gOPN = require('./_object-gopn').f;\nvar toString = {}.toString;\n\nvar windowNames = typeof window == 'object' && window && Object.getOwnPropertyNames\n  ? Object.getOwnPropertyNames(window) : [];\n\nvar getWindowNames = function (it) {\n  try {\n    return gOPN(it);\n  } catch (e) {\n    return windowNames.slice();\n  }\n};\n\nmodule.exports.f = function getOwnPropertyNames(it) {\n  return windowNames && toString.call(it) == '[object Window]' ? getWindowNames(it) : gOPN(toIObject(it));\n};\n","var pIE = require('./_object-pie');\nvar createDesc = require('./_property-desc');\nvar toIObject = require('./_to-iobject');\nvar toPrimitive = require('./_to-primitive');\nvar has = require('./_has');\nvar IE8_DOM_DEFINE = require('./_ie8-dom-define');\nvar gOPD = Object.getOwnPropertyDescriptor;\n\nexports.f = require('./_descriptors') ? gOPD : function getOwnPropertyDescriptor(O, P) {\n  O = toIObject(O);\n  P = toPrimitive(P, true);\n  if (IE8_DOM_DEFINE) try {\n    return gOPD(O, P);\n  } catch (e) { /* empty */ }\n  if (has(O, P)) return createDesc(!pIE.f.call(O, P), O[P]);\n};\n","'use strict';\n// ECMAScript 6 symbols shim\nvar global = require('./_global');\nvar has = require('./_has');\nvar DESCRIPTORS = require('./_descriptors');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar META = require('./_meta').KEY;\nvar $fails = require('./_fails');\nvar shared = require('./_shared');\nvar setToStringTag = require('./_set-to-string-tag');\nvar uid = require('./_uid');\nvar wks = require('./_wks');\nvar wksExt = require('./_wks-ext');\nvar wksDefine = require('./_wks-define');\nvar enumKeys = require('./_enum-keys');\nvar isArray = require('./_is-array');\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar toObject = require('./_to-object');\nvar toIObject = require('./_to-iobject');\nvar toPrimitive = require('./_to-primitive');\nvar createDesc = require('./_property-desc');\nvar _create = require('./_object-create');\nvar gOPNExt = require('./_object-gopn-ext');\nvar $GOPD = require('./_object-gopd');\nvar $GOPS = require('./_object-gops');\nvar $DP = require('./_object-dp');\nvar $keys = require('./_object-keys');\nvar gOPD = $GOPD.f;\nvar dP = $DP.f;\nvar gOPN = gOPNExt.f;\nvar $Symbol = global.Symbol;\nvar $JSON = global.JSON;\nvar _stringify = $JSON && $JSON.stringify;\nvar PROTOTYPE = 'prototype';\nvar HIDDEN = wks('_hidden');\nvar TO_PRIMITIVE = wks('toPrimitive');\nvar isEnum = {}.propertyIsEnumerable;\nvar SymbolRegistry = shared('symbol-registry');\nvar AllSymbols = shared('symbols');\nvar OPSymbols = shared('op-symbols');\nvar ObjectProto = Object[PROTOTYPE];\nvar USE_NATIVE = typeof $Symbol == 'function' && !!$GOPS.f;\nvar QObject = global.QObject;\n// Don't use setters in Qt Script, https://github.com/zloirock/core-js/issues/173\nvar setter = !QObject || !QObject[PROTOTYPE] || !QObject[PROTOTYPE].findChild;\n\n// fallback for old Android, https://code.google.com/p/v8/issues/detail?id=687\nvar setSymbolDesc = DESCRIPTORS && $fails(function () {\n  return _create(dP({}, 'a', {\n    get: function () { return dP(this, 'a', { value: 7 }).a; }\n  })).a != 7;\n}) ? function (it, key, D) {\n  var protoDesc = gOPD(ObjectProto, key);\n  if (protoDesc) delete ObjectProto[key];\n  dP(it, key, D);\n  if (protoDesc && it !== ObjectProto) dP(ObjectProto, key, protoDesc);\n} : dP;\n\nvar wrap = function (tag) {\n  var sym = AllSymbols[tag] = _create($Symbol[PROTOTYPE]);\n  sym._k = tag;\n  return sym;\n};\n\nvar isSymbol = USE_NATIVE && typeof $Symbol.iterator == 'symbol' ? function (it) {\n  return typeof it == 'symbol';\n} : function (it) {\n  return it instanceof $Symbol;\n};\n\nvar $defineProperty = function defineProperty(it, key, D) {\n  if (it === ObjectProto) $defineProperty(OPSymbols, key, D);\n  anObject(it);\n  key = toPrimitive(key, true);\n  anObject(D);\n  if (has(AllSymbols, key)) {\n    if (!D.enumerable) {\n      if (!has(it, HIDDEN)) dP(it, HIDDEN, createDesc(1, {}));\n      it[HIDDEN][key] = true;\n    } else {\n      if (has(it, HIDDEN) && it[HIDDEN][key]) it[HIDDEN][key] = false;\n      D = _create(D, { enumerable: createDesc(0, false) });\n    } return setSymbolDesc(it, key, D);\n  } return dP(it, key, D);\n};\nvar $defineProperties = function defineProperties(it, P) {\n  anObject(it);\n  var keys = enumKeys(P = toIObject(P));\n  var i = 0;\n  var l = keys.length;\n  var key;\n  while (l > i) $defineProperty(it, key = keys[i++], P[key]);\n  return it;\n};\nvar $create = function create(it, P) {\n  return P === undefined ? _create(it) : $defineProperties(_create(it), P);\n};\nvar $propertyIsEnumerable = function propertyIsEnumerable(key) {\n  var E = isEnum.call(this, key = toPrimitive(key, true));\n  if (this === ObjectProto && has(AllSymbols, key) && !has(OPSymbols, key)) return false;\n  return E || !has(this, key) || !has(AllSymbols, key) || has(this, HIDDEN) && this[HIDDEN][key] ? E : true;\n};\nvar $getOwnPropertyDescriptor = function getOwnPropertyDescriptor(it, key) {\n  it = toIObject(it);\n  key = toPrimitive(key, true);\n  if (it === ObjectProto && has(AllSymbols, key) && !has(OPSymbols, key)) return;\n  var D = gOPD(it, key);\n  if (D && has(AllSymbols, key) && !(has(it, HIDDEN) && it[HIDDEN][key])) D.enumerable = true;\n  return D;\n};\nvar $getOwnPropertyNames = function getOwnPropertyNames(it) {\n  var names = gOPN(toIObject(it));\n  var result = [];\n  var i = 0;\n  var key;\n  while (names.length > i) {\n    if (!has(AllSymbols, key = names[i++]) && key != HIDDEN && key != META) result.push(key);\n  } return result;\n};\nvar $getOwnPropertySymbols = function getOwnPropertySymbols(it) {\n  var IS_OP = it === ObjectProto;\n  var names = gOPN(IS_OP ? OPSymbols : toIObject(it));\n  var result = [];\n  var i = 0;\n  var key;\n  while (names.length > i) {\n    if (has(AllSymbols, key = names[i++]) && (IS_OP ? has(ObjectProto, key) : true)) result.push(AllSymbols[key]);\n  } return result;\n};\n\n// 19.4.1.1 Symbol([description])\nif (!USE_NATIVE) {\n  $Symbol = function Symbol() {\n    if (this instanceof $Symbol) throw TypeError('Symbol is not a constructor!');\n    var tag = uid(arguments.length > 0 ? arguments[0] : undefined);\n    var $set = function (value) {\n      if (this === ObjectProto) $set.call(OPSymbols, value);\n      if (has(this, HIDDEN) && has(this[HIDDEN], tag)) this[HIDDEN][tag] = false;\n      setSymbolDesc(this, tag, createDesc(1, value));\n    };\n    if (DESCRIPTORS && setter) setSymbolDesc(ObjectProto, tag, { configurable: true, set: $set });\n    return wrap(tag);\n  };\n  redefine($Symbol[PROTOTYPE], 'toString', function toString() {\n    return this._k;\n  });\n\n  $GOPD.f = $getOwnPropertyDescriptor;\n  $DP.f = $defineProperty;\n  require('./_object-gopn').f = gOPNExt.f = $getOwnPropertyNames;\n  require('./_object-pie').f = $propertyIsEnumerable;\n  $GOPS.f = $getOwnPropertySymbols;\n\n  if (DESCRIPTORS && !require('./_library')) {\n    redefine(ObjectProto, 'propertyIsEnumerable', $propertyIsEnumerable, true);\n  }\n\n  wksExt.f = function (name) {\n    return wrap(wks(name));\n  };\n}\n\n$export($export.G + $export.W + $export.F * !USE_NATIVE, { Symbol: $Symbol });\n\nfor (var es6Symbols = (\n  // 19.4.2.2, 19.4.2.3, 19.4.2.4, 19.4.2.6, 19.4.2.8, 19.4.2.9, 19.4.2.10, 19.4.2.11, 19.4.2.12, 19.4.2.13, 19.4.2.14\n  'hasInstance,isConcatSpreadable,iterator,match,replace,search,species,split,toPrimitive,toStringTag,unscopables'\n).split(','), j = 0; es6Symbols.length > j;)wks(es6Symbols[j++]);\n\nfor (var wellKnownSymbols = $keys(wks.store), k = 0; wellKnownSymbols.length > k;) wksDefine(wellKnownSymbols[k++]);\n\n$export($export.S + $export.F * !USE_NATIVE, 'Symbol', {\n  // 19.4.2.1 Symbol.for(key)\n  'for': function (key) {\n    return has(SymbolRegistry, key += '')\n      ? SymbolRegistry[key]\n      : SymbolRegistry[key] = $Symbol(key);\n  },\n  // 19.4.2.5 Symbol.keyFor(sym)\n  keyFor: function keyFor(sym) {\n    if (!isSymbol(sym)) throw TypeError(sym + ' is not a symbol!');\n    for (var key in SymbolRegistry) if (SymbolRegistry[key] === sym) return key;\n  },\n  useSetter: function () { setter = true; },\n  useSimple: function () { setter = false; }\n});\n\n$export($export.S + $export.F * !USE_NATIVE, 'Object', {\n  // 19.1.2.2 Object.create(O [, Properties])\n  create: $create,\n  // 19.1.2.4 Object.defineProperty(O, P, Attributes)\n  defineProperty: $defineProperty,\n  // 19.1.2.3 Object.defineProperties(O, Properties)\n  defineProperties: $defineProperties,\n  // 19.1.2.6 Object.getOwnPropertyDescriptor(O, P)\n  getOwnPropertyDescriptor: $getOwnPropertyDescriptor,\n  // 19.1.2.7 Object.getOwnPropertyNames(O)\n  getOwnPropertyNames: $getOwnPropertyNames,\n  // 19.1.2.8 Object.getOwnPropertySymbols(O)\n  getOwnPropertySymbols: $getOwnPropertySymbols\n});\n\n// Chrome 38 and 39 `Object.getOwnPropertySymbols` fails on primitives\n// https://bugs.chromium.org/p/v8/issues/detail?id=3443\nvar FAILS_ON_PRIMITIVES = $fails(function () { $GOPS.f(1); });\n\n$export($export.S + $export.F * FAILS_ON_PRIMITIVES, 'Object', {\n  getOwnPropertySymbols: function getOwnPropertySymbols(it) {\n    return $GOPS.f(toObject(it));\n  }\n});\n\n// 24.3.2 JSON.stringify(value [, replacer [, space]])\n$JSON && $export($export.S + $export.F * (!USE_NATIVE || $fails(function () {\n  var S = $Symbol();\n  // MS Edge converts symbol values to JSON as {}\n  // WebKit converts symbol values to JSON as null\n  // V8 throws on boxed symbols\n  return _stringify([S]) != '[null]' || _stringify({ a: S }) != '{}' || _stringify(Object(S)) != '{}';\n})), 'JSON', {\n  stringify: function stringify(it) {\n    var args = [it];\n    var i = 1;\n    var replacer, $replacer;\n    while (arguments.length > i) args.push(arguments[i++]);\n    $replacer = replacer = args[1];\n    if (!isObject(replacer) && it === undefined || isSymbol(it)) return; // IE8 returns string on undefined\n    if (!isArray(replacer)) replacer = function (key, value) {\n      if (typeof $replacer == 'function') value = $replacer.call(this, key, value);\n      if (!isSymbol(value)) return value;\n    };\n    args[1] = replacer;\n    return _stringify.apply($JSON, args);\n  }\n});\n\n// 19.4.3.4 Symbol.prototype[@@toPrimitive](hint)\n$Symbol[PROTOTYPE][TO_PRIMITIVE] || require('./_hide')($Symbol[PROTOTYPE], TO_PRIMITIVE, $Symbol[PROTOTYPE].valueOf);\n// 19.4.3.5 Symbol.prototype[@@toStringTag]\nsetToStringTag($Symbol, 'Symbol');\n// 20.2.1.9 Math[@@toStringTag]\nsetToStringTag(Math, 'Math', true);\n// 24.3.3 JSON[@@toStringTag]\nsetToStringTag(global.JSON, 'JSON', true);\n","var $export = require('./_export');\n// 19.1.2.2 / 15.2.3.5 Object.create(O [, Properties])\n$export($export.S, 'Object', { create: require('./_object-create') });\n","var $export = require('./_export');\n// 19.1.2.4 / 15.2.3.6 Object.defineProperty(O, P, Attributes)\n$export($export.S + $export.F * !require('./_descriptors'), 'Object', { defineProperty: require('./_object-dp').f });\n","var $export = require('./_export');\n// 19.1.2.3 / 15.2.3.7 Object.defineProperties(O, Properties)\n$export($export.S + $export.F * !require('./_descriptors'), 'Object', { defineProperties: require('./_object-dps') });\n","// most Object methods by ES6 should accept primitives\nvar $export = require('./_export');\nvar core = require('./_core');\nvar fails = require('./_fails');\nmodule.exports = function (KEY, exec) {\n  var fn = (core.Object || {})[KEY] || Object[KEY];\n  var exp = {};\n  exp[KEY] = exec(fn);\n  $export($export.S + $export.F * fails(function () { fn(1); }), 'Object', exp);\n};\n","// 19.1.2.6 Object.getOwnPropertyDescriptor(O, P)\nvar toIObject = require('./_to-iobject');\nvar $getOwnPropertyDescriptor = require('./_object-gopd').f;\n\nrequire('./_object-sap')('getOwnPropertyDescriptor', function () {\n  return function getOwnPropertyDescriptor(it, key) {\n    return $getOwnPropertyDescriptor(toIObject(it), key);\n  };\n});\n","// 19.1.2.9 / 15.2.3.2 Object.getPrototypeOf(O)\nvar has = require('./_has');\nvar toObject = require('./_to-object');\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\nvar ObjectProto = Object.prototype;\n\nmodule.exports = Object.getPrototypeOf || function (O) {\n  O = toObject(O);\n  if (has(O, IE_PROTO)) return O[IE_PROTO];\n  if (typeof O.constructor == 'function' && O instanceof O.constructor) {\n    return O.constructor.prototype;\n  } return O instanceof Object ? ObjectProto : null;\n};\n","// 19.1.2.9 Object.getPrototypeOf(O)\nvar toObject = require('./_to-object');\nvar $getPrototypeOf = require('./_object-gpo');\n\nrequire('./_object-sap')('getPrototypeOf', function () {\n  return function getPrototypeOf(it) {\n    return $getPrototypeOf(toObject(it));\n  };\n});\n","// 19.1.2.14 Object.keys(O)\nvar toObject = require('./_to-object');\nvar $keys = require('./_object-keys');\n\nrequire('./_object-sap')('keys', function () {\n  return function keys(it) {\n    return $keys(toObject(it));\n  };\n});\n","// 19.1.2.7 Object.getOwnPropertyNames(O)\nrequire('./_object-sap')('getOwnPropertyNames', function () {\n  return require('./_object-gopn-ext').f;\n});\n","// 19.1.2.5 Object.freeze(O)\nvar isObject = require('./_is-object');\nvar meta = require('./_meta').onFreeze;\n\nrequire('./_object-sap')('freeze', function ($freeze) {\n  return function freeze(it) {\n    return $freeze && isObject(it) ? $freeze(meta(it)) : it;\n  };\n});\n","// 19.1.2.17 Object.seal(O)\nvar isObject = require('./_is-object');\nvar meta = require('./_meta').onFreeze;\n\nrequire('./_object-sap')('seal', function ($seal) {\n  return function seal(it) {\n    return $seal && isObject(it) ? $seal(meta(it)) : it;\n  };\n});\n","// 19.1.2.15 Object.preventExtensions(O)\nvar isObject = require('./_is-object');\nvar meta = require('./_meta').onFreeze;\n\nrequire('./_object-sap')('preventExtensions', function ($preventExtensions) {\n  return function preventExtensions(it) {\n    return $preventExtensions && isObject(it) ? $preventExtensions(meta(it)) : it;\n  };\n});\n","// 19.1.2.12 Object.isFrozen(O)\nvar isObject = require('./_is-object');\n\nrequire('./_object-sap')('isFrozen', function ($isFrozen) {\n  return function isFrozen(it) {\n    return isObject(it) ? $isFrozen ? $isFrozen(it) : false : true;\n  };\n});\n","// 19.1.2.13 Object.isSealed(O)\nvar isObject = require('./_is-object');\n\nrequire('./_object-sap')('isSealed', function ($isSealed) {\n  return function isSealed(it) {\n    return isObject(it) ? $isSealed ? $isSealed(it) : false : true;\n  };\n});\n","// 19.1.2.11 Object.isExtensible(O)\nvar isObject = require('./_is-object');\n\nrequire('./_object-sap')('isExtensible', function ($isExtensible) {\n  return function isExtensible(it) {\n    return isObject(it) ? $isExtensible ? $isExtensible(it) : true : false;\n  };\n});\n","'use strict';\n// 19.1.2.1 Object.assign(target, source, ...)\nvar DESCRIPTORS = require('./_descriptors');\nvar getKeys = require('./_object-keys');\nvar gOPS = require('./_object-gops');\nvar pIE = require('./_object-pie');\nvar toObject = require('./_to-object');\nvar IObject = require('./_iobject');\nvar $assign = Object.assign;\n\n// should work with symbols and should have deterministic property order (V8 bug)\nmodule.exports = !$assign || require('./_fails')(function () {\n  var A = {};\n  var B = {};\n  // eslint-disable-next-line no-undef\n  var S = Symbol();\n  var K = 'abcdefghijklmnopqrst';\n  A[S] = 7;\n  K.split('').forEach(function (k) { B[k] = k; });\n  return $assign({}, A)[S] != 7 || Object.keys($assign({}, B)).join('') != K;\n}) ? function assign(target, source) { // eslint-disable-line no-unused-vars\n  var T = toObject(target);\n  var aLen = arguments.length;\n  var index = 1;\n  var getSymbols = gOPS.f;\n  var isEnum = pIE.f;\n  while (aLen > index) {\n    var S = IObject(arguments[index++]);\n    var keys = getSymbols ? getKeys(S).concat(getSymbols(S)) : getKeys(S);\n    var length = keys.length;\n    var j = 0;\n    var key;\n    while (length > j) {\n      key = keys[j++];\n      if (!DESCRIPTORS || isEnum.call(S, key)) T[key] = S[key];\n    }\n  } return T;\n} : $assign;\n","// 19.1.3.1 Object.assign(target, source)\nvar $export = require('./_export');\n\n$export($export.S + $export.F, 'Object', { assign: require('./_object-assign') });\n","// 7.2.9 SameValue(x, y)\nmodule.exports = Object.is || function is(x, y) {\n  // eslint-disable-next-line no-self-compare\n  return x === y ? x !== 0 || 1 / x === 1 / y : x != x && y != y;\n};\n","// 19.1.3.10 Object.is(value1, value2)\nvar $export = require('./_export');\n$export($export.S, 'Object', { is: require('./_same-value') });\n","// Works with __proto__ only. Old v8 can't work with null proto objects.\n/* eslint-disable no-proto */\nvar isObject = require('./_is-object');\nvar anObject = require('./_an-object');\nvar check = function (O, proto) {\n  anObject(O);\n  if (!isObject(proto) && proto !== null) throw TypeError(proto + \": can't set as prototype!\");\n};\nmodule.exports = {\n  set: Object.setPrototypeOf || ('__proto__' in {} ? // eslint-disable-line\n    function (test, buggy, set) {\n      try {\n        set = require('./_ctx')(Function.call, require('./_object-gopd').f(Object.prototype, '__proto__').set, 2);\n        set(test, []);\n        buggy = !(test instanceof Array);\n      } catch (e) { buggy = true; }\n      return function setPrototypeOf(O, proto) {\n        check(O, proto);\n        if (buggy) O.__proto__ = proto;\n        else set(O, proto);\n        return O;\n      };\n    }({}, false) : undefined),\n  check: check\n};\n","// 19.1.3.19 Object.setPrototypeOf(O, proto)\nvar $export = require('./_export');\n$export($export.S, 'Object', { setPrototypeOf: require('./_set-proto').set });\n","// getting tag from 19.1.3.6 Object.prototype.toString()\nvar cof = require('./_cof');\nvar TAG = require('./_wks')('toStringTag');\n// ES3 wrong here\nvar ARG = cof(function () { return arguments; }()) == 'Arguments';\n\n// fallback for IE11 Script Access Denied error\nvar tryGet = function (it, key) {\n  try {\n    return it[key];\n  } catch (e) { /* empty */ }\n};\n\nmodule.exports = function (it) {\n  var O, T, B;\n  return it === undefined ? 'Undefined' : it === null ? 'Null'\n    // @@toStringTag case\n    : typeof (T = tryGet(O = Object(it), TAG)) == 'string' ? T\n    // builtinTag case\n    : ARG ? cof(O)\n    // ES3 arguments fallback\n    : (B = cof(O)) == 'Object' && typeof O.callee == 'function' ? 'Arguments' : B;\n};\n","'use strict';\n// 19.1.3.6 Object.prototype.toString()\nvar classof = require('./_classof');\nvar test = {};\ntest[require('./_wks')('toStringTag')] = 'z';\nif (test + '' != '[object z]') {\n  require('./_redefine')(Object.prototype, 'toString', function toString() {\n    return '[object ' + classof(this) + ']';\n  }, true);\n}\n","// fast apply, http://jsperf.lnkit.com/fast-apply/5\nmodule.exports = function (fn, args, that) {\n  var un = that === undefined;\n  switch (args.length) {\n    case 0: return un ? fn()\n                      : fn.call(that);\n    case 1: return un ? fn(args[0])\n                      : fn.call(that, args[0]);\n    case 2: return un ? fn(args[0], args[1])\n                      : fn.call(that, args[0], args[1]);\n    case 3: return un ? fn(args[0], args[1], args[2])\n                      : fn.call(that, args[0], args[1], args[2]);\n    case 4: return un ? fn(args[0], args[1], args[2], args[3])\n                      : fn.call(that, args[0], args[1], args[2], args[3]);\n  } return fn.apply(that, args);\n};\n","'use strict';\nvar aFunction = require('./_a-function');\nvar isObject = require('./_is-object');\nvar invoke = require('./_invoke');\nvar arraySlice = [].slice;\nvar factories = {};\n\nvar construct = function (F, len, args) {\n  if (!(len in factories)) {\n    for (var n = [], i = 0; i < len; i++) n[i] = 'a[' + i + ']';\n    // eslint-disable-next-line no-new-func\n    factories[len] = Function('F,a', 'return new F(' + n.join(',') + ')');\n  } return factories[len](F, args);\n};\n\nmodule.exports = Function.bind || function bind(that /* , ...args */) {\n  var fn = aFunction(this);\n  var partArgs = arraySlice.call(arguments, 1);\n  var bound = function (/* args... */) {\n    var args = partArgs.concat(arraySlice.call(arguments));\n    return this instanceof bound ? construct(fn, args.length, args) : invoke(fn, args, that);\n  };\n  if (isObject(fn.prototype)) bound.prototype = fn.prototype;\n  return bound;\n};\n","// 19.2.3.2 / 15.3.4.5 Function.prototype.bind(thisArg, args...)\nvar $export = require('./_export');\n\n$export($export.P, 'Function', { bind: require('./_bind') });\n","var dP = require('./_object-dp').f;\nvar FProto = Function.prototype;\nvar nameRE = /^\\s*function ([^ (]*)/;\nvar NAME = 'name';\n\n// 19.2.4.2 name\nNAME in FProto || require('./_descriptors') && dP(FProto, NAME, {\n  configurable: true,\n  get: function () {\n    try {\n      return ('' + this).match(nameRE)[1];\n    } catch (e) {\n      return '';\n    }\n  }\n});\n","'use strict';\nvar isObject = require('./_is-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar HAS_INSTANCE = require('./_wks')('hasInstance');\nvar FunctionProto = Function.prototype;\n// 19.2.3.6 Function.prototype[@@hasInstance](V)\nif (!(HAS_INSTANCE in FunctionProto)) require('./_object-dp').f(FunctionProto, HAS_INSTANCE, { value: function (O) {\n  if (typeof this != 'function' || !isObject(O)) return false;\n  if (!isObject(this.prototype)) return O instanceof this;\n  // for environment w/o native `@@hasInstance` logic enough `instanceof`, but add this:\n  while (O = getPrototypeOf(O)) if (this.prototype === O) return true;\n  return false;\n} });\n","module.exports = '\\x09\\x0A\\x0B\\x0C\\x0D\\x20\\xA0\\u1680\\u180E\\u2000\\u2001\\u2002\\u2003' +\n  '\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200A\\u202F\\u205F\\u3000\\u2028\\u2029\\uFEFF';\n","var $export = require('./_export');\nvar defined = require('./_defined');\nvar fails = require('./_fails');\nvar spaces = require('./_string-ws');\nvar space = '[' + spaces + ']';\nvar non = '\\u200b\\u0085';\nvar ltrim = RegExp('^' + space + space + '*');\nvar rtrim = RegExp(space + space + '*$');\n\nvar exporter = function (KEY, exec, ALIAS) {\n  var exp = {};\n  var FORCE = fails(function () {\n    return !!spaces[KEY]() || non[KEY]() != non;\n  });\n  var fn = exp[KEY] = FORCE ? exec(trim) : spaces[KEY];\n  if (ALIAS) exp[ALIAS] = fn;\n  $export($export.P + $export.F * FORCE, 'String', exp);\n};\n\n// 1 -> String#trimLeft\n// 2 -> String#trimRight\n// 3 -> String#trim\nvar trim = exporter.trim = function (string, TYPE) {\n  string = String(defined(string));\n  if (TYPE & 1) string = string.replace(ltrim, '');\n  if (TYPE & 2) string = string.replace(rtrim, '');\n  return string;\n};\n\nmodule.exports = exporter;\n","var $parseInt = require('./_global').parseInt;\nvar $trim = require('./_string-trim').trim;\nvar ws = require('./_string-ws');\nvar hex = /^[-+]?0[xX]/;\n\nmodule.exports = $parseInt(ws + '08') !== 8 || $parseInt(ws + '0x16') !== 22 ? function parseInt(str, radix) {\n  var string = $trim(String(str), 3);\n  return $parseInt(string, (radix >>> 0) || (hex.test(string) ? 16 : 10));\n} : $parseInt;\n","var $export = require('./_export');\nvar $parseInt = require('./_parse-int');\n// 18.2.5 parseInt(string, radix)\n$export($export.G + $export.F * (parseInt != $parseInt), { parseInt: $parseInt });\n","var $parseFloat = require('./_global').parseFloat;\nvar $trim = require('./_string-trim').trim;\n\nmodule.exports = 1 / $parseFloat(require('./_string-ws') + '-0') !== -Infinity ? function parseFloat(str) {\n  var string = $trim(String(str), 3);\n  var result = $parseFloat(string);\n  return result === 0 && string.charAt(0) == '-' ? -0 : result;\n} : $parseFloat;\n","var $export = require('./_export');\nvar $parseFloat = require('./_parse-float');\n// 18.2.4 parseFloat(string)\n$export($export.G + $export.F * (parseFloat != $parseFloat), { parseFloat: $parseFloat });\n","var isObject = require('./_is-object');\nvar setPrototypeOf = require('./_set-proto').set;\nmodule.exports = function (that, target, C) {\n  var S = target.constructor;\n  var P;\n  if (S !== C && typeof S == 'function' && (P = S.prototype) !== C.prototype && isObject(P) && setPrototypeOf) {\n    setPrototypeOf(that, P);\n  } return that;\n};\n","'use strict';\nvar global = require('./_global');\nvar has = require('./_has');\nvar cof = require('./_cof');\nvar inheritIfRequired = require('./_inherit-if-required');\nvar toPrimitive = require('./_to-primitive');\nvar fails = require('./_fails');\nvar gOPN = require('./_object-gopn').f;\nvar gOPD = require('./_object-gopd').f;\nvar dP = require('./_object-dp').f;\nvar $trim = require('./_string-trim').trim;\nvar NUMBER = 'Number';\nvar $Number = global[NUMBER];\nvar Base = $Number;\nvar proto = $Number.prototype;\n// Opera ~12 has broken Object#toString\nvar BROKEN_COF = cof(require('./_object-create')(proto)) == NUMBER;\nvar TRIM = 'trim' in String.prototype;\n\n// 7.1.3 ToNumber(argument)\nvar toNumber = function (argument) {\n  var it = toPrimitive(argument, false);\n  if (typeof it == 'string' && it.length > 2) {\n    it = TRIM ? it.trim() : $trim(it, 3);\n    var first = it.charCodeAt(0);\n    var third, radix, maxCode;\n    if (first === 43 || first === 45) {\n      third = it.charCodeAt(2);\n      if (third === 88 || third === 120) return NaN; // Number('+0x1') should be NaN, old V8 fix\n    } else if (first === 48) {\n      switch (it.charCodeAt(1)) {\n        case 66: case 98: radix = 2; maxCode = 49; break; // fast equal /^0b[01]+$/i\n        case 79: case 111: radix = 8; maxCode = 55; break; // fast equal /^0o[0-7]+$/i\n        default: return +it;\n      }\n      for (var digits = it.slice(2), i = 0, l = digits.length, code; i < l; i++) {\n        code = digits.charCodeAt(i);\n        // parseInt parses a string to a first unavailable symbol\n        // but ToNumber should return NaN if a string contains unavailable symbols\n        if (code < 48 || code > maxCode) return NaN;\n      } return parseInt(digits, radix);\n    }\n  } return +it;\n};\n\nif (!$Number(' 0o1') || !$Number('0b1') || $Number('+0x1')) {\n  $Number = function Number(value) {\n    var it = arguments.length < 1 ? 0 : value;\n    var that = this;\n    return that instanceof $Number\n      // check on 1..constructor(foo) case\n      && (BROKEN_COF ? fails(function () { proto.valueOf.call(that); }) : cof(that) != NUMBER)\n        ? inheritIfRequired(new Base(toNumber(it)), that, $Number) : toNumber(it);\n  };\n  for (var keys = require('./_descriptors') ? gOPN(Base) : (\n    // ES3:\n    'MAX_VALUE,MIN_VALUE,NaN,NEGATIVE_INFINITY,POSITIVE_INFINITY,' +\n    // ES6 (in case, if modules with ES6 Number statics required before):\n    'EPSILON,isFinite,isInteger,isNaN,isSafeInteger,MAX_SAFE_INTEGER,' +\n    'MIN_SAFE_INTEGER,parseFloat,parseInt,isInteger'\n  ).split(','), j = 0, key; keys.length > j; j++) {\n    if (has(Base, key = keys[j]) && !has($Number, key)) {\n      dP($Number, key, gOPD(Base, key));\n    }\n  }\n  $Number.prototype = proto;\n  proto.constructor = $Number;\n  require('./_redefine')(global, NUMBER, $Number);\n}\n","var cof = require('./_cof');\nmodule.exports = function (it, msg) {\n  if (typeof it != 'number' && cof(it) != 'Number') throw TypeError(msg);\n  return +it;\n};\n","'use strict';\nvar toInteger = require('./_to-integer');\nvar defined = require('./_defined');\n\nmodule.exports = function repeat(count) {\n  var str = String(defined(this));\n  var res = '';\n  var n = toInteger(count);\n  if (n < 0 || n == Infinity) throw RangeError(\"Count can't be negative\");\n  for (;n > 0; (n >>>= 1) && (str += str)) if (n & 1) res += str;\n  return res;\n};\n","'use strict';\nvar $export = require('./_export');\nvar toInteger = require('./_to-integer');\nvar aNumberValue = require('./_a-number-value');\nvar repeat = require('./_string-repeat');\nvar $toFixed = 1.0.toFixed;\nvar floor = Math.floor;\nvar data = [0, 0, 0, 0, 0, 0];\nvar ERROR = 'Number.toFixed: incorrect invocation!';\nvar ZERO = '0';\n\nvar multiply = function (n, c) {\n  var i = -1;\n  var c2 = c;\n  while (++i < 6) {\n    c2 += n * data[i];\n    data[i] = c2 % 1e7;\n    c2 = floor(c2 / 1e7);\n  }\n};\nvar divide = function (n) {\n  var i = 6;\n  var c = 0;\n  while (--i >= 0) {\n    c += data[i];\n    data[i] = floor(c / n);\n    c = (c % n) * 1e7;\n  }\n};\nvar numToString = function () {\n  var i = 6;\n  var s = '';\n  while (--i >= 0) {\n    if (s !== '' || i === 0 || data[i] !== 0) {\n      var t = String(data[i]);\n      s = s === '' ? t : s + repeat.call(ZERO, 7 - t.length) + t;\n    }\n  } return s;\n};\nvar pow = function (x, n, acc) {\n  return n === 0 ? acc : n % 2 === 1 ? pow(x, n - 1, acc * x) : pow(x * x, n / 2, acc);\n};\nvar log = function (x) {\n  var n = 0;\n  var x2 = x;\n  while (x2 >= 4096) {\n    n += 12;\n    x2 /= 4096;\n  }\n  while (x2 >= 2) {\n    n += 1;\n    x2 /= 2;\n  } return n;\n};\n\n$export($export.P + $export.F * (!!$toFixed && (\n  0.00008.toFixed(3) !== '0.000' ||\n  0.9.toFixed(0) !== '1' ||\n  1.255.toFixed(2) !== '1.25' ||\n  1000000000000000128.0.toFixed(0) !== '1000000000000000128'\n) || !require('./_fails')(function () {\n  // V8 ~ Android 4.3-\n  $toFixed.call({});\n})), 'Number', {\n  toFixed: function toFixed(fractionDigits) {\n    var x = aNumberValue(this, ERROR);\n    var f = toInteger(fractionDigits);\n    var s = '';\n    var m = ZERO;\n    var e, z, j, k;\n    if (f < 0 || f > 20) throw RangeError(ERROR);\n    // eslint-disable-next-line no-self-compare\n    if (x != x) return 'NaN';\n    if (x <= -1e21 || x >= 1e21) return String(x);\n    if (x < 0) {\n      s = '-';\n      x = -x;\n    }\n    if (x > 1e-21) {\n      e = log(x * pow(2, 69, 1)) - 69;\n      z = e < 0 ? x * pow(2, -e, 1) : x / pow(2, e, 1);\n      z *= 0x10000000000000;\n      e = 52 - e;\n      if (e > 0) {\n        multiply(0, z);\n        j = f;\n        while (j >= 7) {\n          multiply(1e7, 0);\n          j -= 7;\n        }\n        multiply(pow(10, j, 1), 0);\n        j = e - 1;\n        while (j >= 23) {\n          divide(1 << 23);\n          j -= 23;\n        }\n        divide(1 << j);\n        multiply(1, 1);\n        divide(2);\n        m = numToString();\n      } else {\n        multiply(0, z);\n        multiply(1 << -e, 0);\n        m = numToString() + repeat.call(ZERO, f);\n      }\n    }\n    if (f > 0) {\n      k = m.length;\n      m = s + (k <= f ? '0.' + repeat.call(ZERO, f - k) + m : m.slice(0, k - f) + '.' + m.slice(k - f));\n    } else {\n      m = s + m;\n    } return m;\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $fails = require('./_fails');\nvar aNumberValue = require('./_a-number-value');\nvar $toPrecision = 1.0.toPrecision;\n\n$export($export.P + $export.F * ($fails(function () {\n  // IE7-\n  return $toPrecision.call(1, undefined) !== '1';\n}) || !$fails(function () {\n  // V8 ~ Android 4.3-\n  $toPrecision.call({});\n})), 'Number', {\n  toPrecision: function toPrecision(precision) {\n    var that = aNumberValue(this, 'Number#toPrecision: incorrect invocation!');\n    return precision === undefined ? $toPrecision.call(that) : $toPrecision.call(that, precision);\n  }\n});\n","// 20.1.2.1 Number.EPSILON\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { EPSILON: Math.pow(2, -52) });\n","// 20.1.2.2 Number.isFinite(number)\nvar $export = require('./_export');\nvar _isFinite = require('./_global').isFinite;\n\n$export($export.S, 'Number', {\n  isFinite: function isFinite(it) {\n    return typeof it == 'number' && _isFinite(it);\n  }\n});\n","// 20.1.2.3 Number.isInteger(number)\nvar isObject = require('./_is-object');\nvar floor = Math.floor;\nmodule.exports = function isInteger(it) {\n  return !isObject(it) && isFinite(it) && floor(it) === it;\n};\n","// 20.1.2.3 Number.isInteger(number)\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { isInteger: require('./_is-integer') });\n","// 20.1.2.4 Number.isNaN(number)\nvar $export = require('./_export');\n\n$export($export.S, 'Number', {\n  isNaN: function isNaN(number) {\n    // eslint-disable-next-line no-self-compare\n    return number != number;\n  }\n});\n","// 20.1.2.5 Number.isSafeInteger(number)\nvar $export = require('./_export');\nvar isInteger = require('./_is-integer');\nvar abs = Math.abs;\n\n$export($export.S, 'Number', {\n  isSafeInteger: function isSafeInteger(number) {\n    return isInteger(number) && abs(number) <= 0x1fffffffffffff;\n  }\n});\n","// 20.1.2.6 Number.MAX_SAFE_INTEGER\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { MAX_SAFE_INTEGER: 0x1fffffffffffff });\n","// 20.1.2.10 Number.MIN_SAFE_INTEGER\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { MIN_SAFE_INTEGER: -0x1fffffffffffff });\n","var $export = require('./_export');\nvar $parseFloat = require('./_parse-float');\n// 20.1.2.12 Number.parseFloat(string)\n$export($export.S + $export.F * (Number.parseFloat != $parseFloat), 'Number', { parseFloat: $parseFloat });\n","var $export = require('./_export');\nvar $parseInt = require('./_parse-int');\n// 20.1.2.13 Number.parseInt(string, radix)\n$export($export.S + $export.F * (Number.parseInt != $parseInt), 'Number', { parseInt: $parseInt });\n","// 20.2.2.20 Math.log1p(x)\nmodule.exports = Math.log1p || function log1p(x) {\n  return (x = +x) > -1e-8 && x < 1e-8 ? x - x * x / 2 : Math.log(1 + x);\n};\n","// 20.2.2.3 Math.acosh(x)\nvar $export = require('./_export');\nvar log1p = require('./_math-log1p');\nvar sqrt = Math.sqrt;\nvar $acosh = Math.acosh;\n\n$export($export.S + $export.F * !($acosh\n  // V8 bug: https://code.google.com/p/v8/issues/detail?id=3509\n  && Math.floor($acosh(Number.MAX_VALUE)) == 710\n  // Tor Browser bug: Math.acosh(Infinity) -> NaN\n  && $acosh(Infinity) == Infinity\n), 'Math', {\n  acosh: function acosh(x) {\n    return (x = +x) < 1 ? NaN : x > 94906265.62425156\n      ? Math.log(x) + Math.LN2\n      : log1p(x - 1 + sqrt(x - 1) * sqrt(x + 1));\n  }\n});\n","// 20.2.2.5 Math.asinh(x)\nvar $export = require('./_export');\nvar $asinh = Math.asinh;\n\nfunction asinh(x) {\n  return !isFinite(x = +x) || x == 0 ? x : x < 0 ? -asinh(-x) : Math.log(x + Math.sqrt(x * x + 1));\n}\n\n// Tor Browser bug: Math.asinh(0) -> -0\n$export($export.S + $export.F * !($asinh && 1 / $asinh(0) > 0), 'Math', { asinh: asinh });\n","// 20.2.2.7 Math.atanh(x)\nvar $export = require('./_export');\nvar $atanh = Math.atanh;\n\n// Tor Browser bug: Math.atanh(-0) -> 0\n$export($export.S + $export.F * !($atanh && 1 / $atanh(-0) < 0), 'Math', {\n  atanh: function atanh(x) {\n    return (x = +x) == 0 ? x : Math.log((1 + x) / (1 - x)) / 2;\n  }\n});\n","// 20.2.2.28 Math.sign(x)\nmodule.exports = Math.sign || function sign(x) {\n  // eslint-disable-next-line no-self-compare\n  return (x = +x) == 0 || x != x ? x : x < 0 ? -1 : 1;\n};\n","// 20.2.2.9 Math.cbrt(x)\nvar $export = require('./_export');\nvar sign = require('./_math-sign');\n\n$export($export.S, 'Math', {\n  cbrt: function cbrt(x) {\n    return sign(x = +x) * Math.pow(Math.abs(x), 1 / 3);\n  }\n});\n","// 20.2.2.11 Math.clz32(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  clz32: function clz32(x) {\n    return (x >>>= 0) ? 31 - Math.floor(Math.log(x + 0.5) * Math.LOG2E) : 32;\n  }\n});\n","// 20.2.2.12 Math.cosh(x)\nvar $export = require('./_export');\nvar exp = Math.exp;\n\n$export($export.S, 'Math', {\n  cosh: function cosh(x) {\n    return (exp(x = +x) + exp(-x)) / 2;\n  }\n});\n","// 20.2.2.14 Math.expm1(x)\nvar $expm1 = Math.expm1;\nmodule.exports = (!$expm1\n  // Old FF bug\n  || $expm1(10) > 22025.465794806719 || $expm1(10) < 22025.4657948067165168\n  // Tor Browser bug\n  || $expm1(-2e-17) != -2e-17\n) ? function expm1(x) {\n  return (x = +x) == 0 ? x : x > -1e-6 && x < 1e-6 ? x + x * x / 2 : Math.exp(x) - 1;\n} : $expm1;\n","// 20.2.2.14 Math.expm1(x)\nvar $export = require('./_export');\nvar $expm1 = require('./_math-expm1');\n\n$export($export.S + $export.F * ($expm1 != Math.expm1), 'Math', { expm1: $expm1 });\n","// 20.2.2.16 Math.fround(x)\nvar sign = require('./_math-sign');\nvar pow = Math.pow;\nvar EPSILON = pow(2, -52);\nvar EPSILON32 = pow(2, -23);\nvar MAX32 = pow(2, 127) * (2 - EPSILON32);\nvar MIN32 = pow(2, -126);\n\nvar roundTiesToEven = function (n) {\n  return n + 1 / EPSILON - 1 / EPSILON;\n};\n\nmodule.exports = Math.fround || function fround(x) {\n  var $abs = Math.abs(x);\n  var $sign = sign(x);\n  var a, result;\n  if ($abs < MIN32) return $sign * roundTiesToEven($abs / MIN32 / EPSILON32) * MIN32 * EPSILON32;\n  a = (1 + EPSILON32 / EPSILON) * $abs;\n  result = a - (a - $abs);\n  // eslint-disable-next-line no-self-compare\n  if (result > MAX32 || result != result) return $sign * Infinity;\n  return $sign * result;\n};\n","// 20.2.2.16 Math.fround(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { fround: require('./_math-fround') });\n","// 20.2.2.17 Math.hypot([value1[, value2[, … ]]])\nvar $export = require('./_export');\nvar abs = Math.abs;\n\n$export($export.S, 'Math', {\n  hypot: function hypot(value1, value2) { // eslint-disable-line no-unused-vars\n    var sum = 0;\n    var i = 0;\n    var aLen = arguments.length;\n    var larg = 0;\n    var arg, div;\n    while (i < aLen) {\n      arg = abs(arguments[i++]);\n      if (larg < arg) {\n        div = larg / arg;\n        sum = sum * div * div + 1;\n        larg = arg;\n      } else if (arg > 0) {\n        div = arg / larg;\n        sum += div * div;\n      } else sum += arg;\n    }\n    return larg === Infinity ? Infinity : larg * Math.sqrt(sum);\n  }\n});\n","// 20.2.2.18 Math.imul(x, y)\nvar $export = require('./_export');\nvar $imul = Math.imul;\n\n// some WebKit versions fails with big numbers, some has wrong arity\n$export($export.S + $export.F * require('./_fails')(function () {\n  return $imul(0xffffffff, 5) != -5 || $imul.length != 2;\n}), 'Math', {\n  imul: function imul(x, y) {\n    var UINT16 = 0xffff;\n    var xn = +x;\n    var yn = +y;\n    var xl = UINT16 & xn;\n    var yl = UINT16 & yn;\n    return 0 | xl * yl + ((UINT16 & xn >>> 16) * yl + xl * (UINT16 & yn >>> 16) << 16 >>> 0);\n  }\n});\n","// 20.2.2.21 Math.log10(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  log10: function log10(x) {\n    return Math.log(x) * Math.LOG10E;\n  }\n});\n","// 20.2.2.20 Math.log1p(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { log1p: require('./_math-log1p') });\n","// 20.2.2.22 Math.log2(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  log2: function log2(x) {\n    return Math.log(x) / Math.LN2;\n  }\n});\n","// 20.2.2.28 Math.sign(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { sign: require('./_math-sign') });\n","// 20.2.2.30 Math.sinh(x)\nvar $export = require('./_export');\nvar expm1 = require('./_math-expm1');\nvar exp = Math.exp;\n\n// V8 near Chromium 38 has a problem with very small numbers\n$export($export.S + $export.F * require('./_fails')(function () {\n  return !Math.sinh(-2e-17) != -2e-17;\n}), 'Math', {\n  sinh: function sinh(x) {\n    return Math.abs(x = +x) < 1\n      ? (expm1(x) - expm1(-x)) / 2\n      : (exp(x - 1) - exp(-x - 1)) * (Math.E / 2);\n  }\n});\n","// 20.2.2.33 Math.tanh(x)\nvar $export = require('./_export');\nvar expm1 = require('./_math-expm1');\nvar exp = Math.exp;\n\n$export($export.S, 'Math', {\n  tanh: function tanh(x) {\n    var a = expm1(x = +x);\n    var b = expm1(-x);\n    return a == Infinity ? 1 : b == Infinity ? -1 : (a - b) / (exp(x) + exp(-x));\n  }\n});\n","// 20.2.2.34 Math.trunc(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  trunc: function trunc(it) {\n    return (it > 0 ? Math.floor : Math.ceil)(it);\n  }\n});\n","var $export = require('./_export');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar fromCharCode = String.fromCharCode;\nvar $fromCodePoint = String.fromCodePoint;\n\n// length should be 1, old FF problem\n$export($export.S + $export.F * (!!$fromCodePoint && $fromCodePoint.length != 1), 'String', {\n  // 21.1.2.2 String.fromCodePoint(...codePoints)\n  fromCodePoint: function fromCodePoint(x) { // eslint-disable-line no-unused-vars\n    var res = [];\n    var aLen = arguments.length;\n    var i = 0;\n    var code;\n    while (aLen > i) {\n      code = +arguments[i++];\n      if (toAbsoluteIndex(code, 0x10ffff) !== code) throw RangeError(code + ' is not a valid code point');\n      res.push(code < 0x10000\n        ? fromCharCode(code)\n        : fromCharCode(((code -= 0x10000) >> 10) + 0xd800, code % 0x400 + 0xdc00)\n      );\n    } return res.join('');\n  }\n});\n","var $export = require('./_export');\nvar toIObject = require('./_to-iobject');\nvar toLength = require('./_to-length');\n\n$export($export.S, 'String', {\n  // 21.1.2.4 String.raw(callSite, ...substitutions)\n  raw: function raw(callSite) {\n    var tpl = toIObject(callSite.raw);\n    var len = toLength(tpl.length);\n    var aLen = arguments.length;\n    var res = [];\n    var i = 0;\n    while (len > i) {\n      res.push(String(tpl[i++]));\n      if (i < aLen) res.push(String(arguments[i]));\n    } return res.join('');\n  }\n});\n","'use strict';\n// 21.1.3.25 String.prototype.trim()\nrequire('./_string-trim')('trim', function ($trim) {\n  return function trim() {\n    return $trim(this, 3);\n  };\n});\n","var toInteger = require('./_to-integer');\nvar defined = require('./_defined');\n// true  -> String#at\n// false -> String#codePointAt\nmodule.exports = function (TO_STRING) {\n  return function (that, pos) {\n    var s = String(defined(that));\n    var i = toInteger(pos);\n    var l = s.length;\n    var a, b;\n    if (i < 0 || i >= l) return TO_STRING ? '' : undefined;\n    a = s.charCodeAt(i);\n    return a < 0xd800 || a > 0xdbff || i + 1 === l || (b = s.charCodeAt(i + 1)) < 0xdc00 || b > 0xdfff\n      ? TO_STRING ? s.charAt(i) : a\n      : TO_STRING ? s.slice(i, i + 2) : (a - 0xd800 << 10) + (b - 0xdc00) + 0x10000;\n  };\n};\n","module.exports = {};\n","'use strict';\nvar create = require('./_object-create');\nvar descriptor = require('./_property-desc');\nvar setToStringTag = require('./_set-to-string-tag');\nvar IteratorPrototype = {};\n\n// 25.1.2.1.1 %IteratorPrototype%[@@iterator]()\nrequire('./_hide')(IteratorPrototype, require('./_wks')('iterator'), function () { return this; });\n\nmodule.exports = function (Constructor, NAME, next) {\n  Constructor.prototype = create(IteratorPrototype, { next: descriptor(1, next) });\n  setToStringTag(Constructor, NAME + ' Iterator');\n};\n","'use strict';\nvar LIBRARY = require('./_library');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar hide = require('./_hide');\nvar Iterators = require('./_iterators');\nvar $iterCreate = require('./_iter-create');\nvar setToStringTag = require('./_set-to-string-tag');\nvar getPrototypeOf = require('./_object-gpo');\nvar ITERATOR = require('./_wks')('iterator');\nvar BUGGY = !([].keys && 'next' in [].keys()); // Safari has buggy iterators w/o `next`\nvar FF_ITERATOR = '@@iterator';\nvar KEYS = 'keys';\nvar VALUES = 'values';\n\nvar returnThis = function () { return this; };\n\nmodule.exports = function (Base, NAME, Constructor, next, DEFAULT, IS_SET, FORCED) {\n  $iterCreate(Constructor, NAME, next);\n  var getMethod = function (kind) {\n    if (!BUGGY && kind in proto) return proto[kind];\n    switch (kind) {\n      case KEYS: return function keys() { return new Constructor(this, kind); };\n      case VALUES: return function values() { return new Constructor(this, kind); };\n    } return function entries() { return new Constructor(this, kind); };\n  };\n  var TAG = NAME + ' Iterator';\n  var DEF_VALUES = DEFAULT == VALUES;\n  var VALUES_BUG = false;\n  var proto = Base.prototype;\n  var $native = proto[ITERATOR] || proto[FF_ITERATOR] || DEFAULT && proto[DEFAULT];\n  var $default = $native || getMethod(DEFAULT);\n  var $entries = DEFAULT ? !DEF_VALUES ? $default : getMethod('entries') : undefined;\n  var $anyNative = NAME == 'Array' ? proto.entries || $native : $native;\n  var methods, key, IteratorPrototype;\n  // Fix native\n  if ($anyNative) {\n    IteratorPrototype = getPrototypeOf($anyNative.call(new Base()));\n    if (IteratorPrototype !== Object.prototype && IteratorPrototype.next) {\n      // Set @@toStringTag to native iterators\n      setToStringTag(IteratorPrototype, TAG, true);\n      // fix for some old engines\n      if (!LIBRARY && typeof IteratorPrototype[ITERATOR] != 'function') hide(IteratorPrototype, ITERATOR, returnThis);\n    }\n  }\n  // fix Array#{values, @@iterator}.name in V8 / FF\n  if (DEF_VALUES && $native && $native.name !== VALUES) {\n    VALUES_BUG = true;\n    $default = function values() { return $native.call(this); };\n  }\n  // Define iterator\n  if ((!LIBRARY || FORCED) && (BUGGY || VALUES_BUG || !proto[ITERATOR])) {\n    hide(proto, ITERATOR, $default);\n  }\n  // Plug for library\n  Iterators[NAME] = $default;\n  Iterators[TAG] = returnThis;\n  if (DEFAULT) {\n    methods = {\n      values: DEF_VALUES ? $default : getMethod(VALUES),\n      keys: IS_SET ? $default : getMethod(KEYS),\n      entries: $entries\n    };\n    if (FORCED) for (key in methods) {\n      if (!(key in proto)) redefine(proto, key, methods[key]);\n    } else $export($export.P + $export.F * (BUGGY || VALUES_BUG), NAME, methods);\n  }\n  return methods;\n};\n","'use strict';\nvar $at = require('./_string-at')(true);\n\n// 21.1.3.27 String.prototype[@@iterator]()\nrequire('./_iter-define')(String, 'String', function (iterated) {\n  this._t = String(iterated); // target\n  this._i = 0;                // next index\n// 21.1.5.2.1 %StringIteratorPrototype%.next()\n}, function () {\n  var O = this._t;\n  var index = this._i;\n  var point;\n  if (index >= O.length) return { value: undefined, done: true };\n  point = $at(O, index);\n  this._i += point.length;\n  return { value: point, done: false };\n});\n","'use strict';\nvar $export = require('./_export');\nvar $at = require('./_string-at')(false);\n$export($export.P, 'String', {\n  // 21.1.3.3 String.prototype.codePointAt(pos)\n  codePointAt: function codePointAt(pos) {\n    return $at(this, pos);\n  }\n});\n","// 7.2.8 IsRegExp(argument)\nvar isObject = require('./_is-object');\nvar cof = require('./_cof');\nvar MATCH = require('./_wks')('match');\nmodule.exports = function (it) {\n  var isRegExp;\n  return isObject(it) && ((isRegExp = it[MATCH]) !== undefined ? !!isRegExp : cof(it) == 'RegExp');\n};\n","// helper for String#{startsWith, endsWith, includes}\nvar isRegExp = require('./_is-regexp');\nvar defined = require('./_defined');\n\nmodule.exports = function (that, searchString, NAME) {\n  if (isRegExp(searchString)) throw TypeError('String#' + NAME + \" doesn't accept regex!\");\n  return String(defined(that));\n};\n","var MATCH = require('./_wks')('match');\nmodule.exports = function (KEY) {\n  var re = /./;\n  try {\n    '/./'[KEY](re);\n  } catch (e) {\n    try {\n      re[MATCH] = false;\n      return !'/./'[KEY](re);\n    } catch (f) { /* empty */ }\n  } return true;\n};\n","// 21.1.3.6 String.prototype.endsWith(searchString [, endPosition])\n'use strict';\nvar $export = require('./_export');\nvar toLength = require('./_to-length');\nvar context = require('./_string-context');\nvar ENDS_WITH = 'endsWith';\nvar $endsWith = ''[ENDS_WITH];\n\n$export($export.P + $export.F * require('./_fails-is-regexp')(ENDS_WITH), 'String', {\n  endsWith: function endsWith(searchString /* , endPosition = @length */) {\n    var that = context(this, searchString, ENDS_WITH);\n    var endPosition = arguments.length > 1 ? arguments[1] : undefined;\n    var len = toLength(that.length);\n    var end = endPosition === undefined ? len : Math.min(toLength(endPosition), len);\n    var search = String(searchString);\n    return $endsWith\n      ? $endsWith.call(that, search, end)\n      : that.slice(end - search.length, end) === search;\n  }\n});\n","// 21.1.3.7 String.prototype.includes(searchString, position = 0)\n'use strict';\nvar $export = require('./_export');\nvar context = require('./_string-context');\nvar INCLUDES = 'includes';\n\n$export($export.P + $export.F * require('./_fails-is-regexp')(INCLUDES), 'String', {\n  includes: function includes(searchString /* , position = 0 */) {\n    return !!~context(this, searchString, INCLUDES)\n      .indexOf(searchString, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\n","var $export = require('./_export');\n\n$export($export.P, 'String', {\n  // 21.1.3.13 String.prototype.repeat(count)\n  repeat: require('./_string-repeat')\n});\n","// 21.1.3.18 String.prototype.startsWith(searchString [, position ])\n'use strict';\nvar $export = require('./_export');\nvar toLength = require('./_to-length');\nvar context = require('./_string-context');\nvar STARTS_WITH = 'startsWith';\nvar $startsWith = ''[STARTS_WITH];\n\n$export($export.P + $export.F * require('./_fails-is-regexp')(STARTS_WITH), 'String', {\n  startsWith: function startsWith(searchString /* , position = 0 */) {\n    var that = context(this, searchString, STARTS_WITH);\n    var index = toLength(Math.min(arguments.length > 1 ? arguments[1] : undefined, that.length));\n    var search = String(searchString);\n    return $startsWith\n      ? $startsWith.call(that, search, index)\n      : that.slice(index, index + search.length) === search;\n  }\n});\n","var $export = require('./_export');\nvar fails = require('./_fails');\nvar defined = require('./_defined');\nvar quot = /\"/g;\n// B.2.3.2.1 CreateHTML(string, tag, attribute, value)\nvar createHTML = function (string, tag, attribute, value) {\n  var S = String(defined(string));\n  var p1 = '<' + tag;\n  if (attribute !== '') p1 += ' ' + attribute + '=\"' + String(value).replace(quot, '&quot;') + '\"';\n  return p1 + '>' + S + '</' + tag + '>';\n};\nmodule.exports = function (NAME, exec) {\n  var O = {};\n  O[NAME] = exec(createHTML);\n  $export($export.P + $export.F * fails(function () {\n    var test = ''[NAME]('\"');\n    return test !== test.toLowerCase() || test.split('\"').length > 3;\n  }), 'String', O);\n};\n","'use strict';\n// B.2.3.2 String.prototype.anchor(name)\nrequire('./_string-html')('anchor', function (createHTML) {\n  return function anchor(name) {\n    return createHTML(this, 'a', 'name', name);\n  };\n});\n","'use strict';\n// B.2.3.3 String.prototype.big()\nrequire('./_string-html')('big', function (createHTML) {\n  return function big() {\n    return createHTML(this, 'big', '', '');\n  };\n});\n","'use strict';\n// B.2.3.4 String.prototype.blink()\nrequire('./_string-html')('blink', function (createHTML) {\n  return function blink() {\n    return createHTML(this, 'blink', '', '');\n  };\n});\n","'use strict';\n// B.2.3.5 String.prototype.bold()\nrequire('./_string-html')('bold', function (createHTML) {\n  return function bold() {\n    return createHTML(this, 'b', '', '');\n  };\n});\n","'use strict';\n// B.2.3.6 String.prototype.fixed()\nrequire('./_string-html')('fixed', function (createHTML) {\n  return function fixed() {\n    return createHTML(this, 'tt', '', '');\n  };\n});\n","'use strict';\n// B.2.3.7 String.prototype.fontcolor(color)\nrequire('./_string-html')('fontcolor', function (createHTML) {\n  return function fontcolor(color) {\n    return createHTML(this, 'font', 'color', color);\n  };\n});\n","'use strict';\n// B.2.3.8 String.prototype.fontsize(size)\nrequire('./_string-html')('fontsize', function (createHTML) {\n  return function fontsize(size) {\n    return createHTML(this, 'font', 'size', size);\n  };\n});\n","'use strict';\n// B.2.3.9 String.prototype.italics()\nrequire('./_string-html')('italics', function (createHTML) {\n  return function italics() {\n    return createHTML(this, 'i', '', '');\n  };\n});\n","'use strict';\n// B.2.3.10 String.prototype.link(url)\nrequire('./_string-html')('link', function (createHTML) {\n  return function link(url) {\n    return createHTML(this, 'a', 'href', url);\n  };\n});\n","'use strict';\n// B.2.3.11 String.prototype.small()\nrequire('./_string-html')('small', function (createHTML) {\n  return function small() {\n    return createHTML(this, 'small', '', '');\n  };\n});\n","'use strict';\n// B.2.3.12 String.prototype.strike()\nrequire('./_string-html')('strike', function (createHTML) {\n  return function strike() {\n    return createHTML(this, 'strike', '', '');\n  };\n});\n","'use strict';\n// B.2.3.13 String.prototype.sub()\nrequire('./_string-html')('sub', function (createHTML) {\n  return function sub() {\n    return createHTML(this, 'sub', '', '');\n  };\n});\n","'use strict';\n// B.2.3.14 String.prototype.sup()\nrequire('./_string-html')('sup', function (createHTML) {\n  return function sup() {\n    return createHTML(this, 'sup', '', '');\n  };\n});\n","// 20.3.3.1 / 15.9.4.4 Date.now()\nvar $export = require('./_export');\n\n$export($export.S, 'Date', { now: function () { return new Date().getTime(); } });\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar toPrimitive = require('./_to-primitive');\n\n$export($export.P + $export.F * require('./_fails')(function () {\n  return new Date(NaN).toJSON() !== null\n    || Date.prototype.toJSON.call({ toISOString: function () { return 1; } }) !== 1;\n}), 'Date', {\n  // eslint-disable-next-line no-unused-vars\n  toJSON: function toJSON(key) {\n    var O = toObject(this);\n    var pv = toPrimitive(O);\n    return typeof pv == 'number' && !isFinite(pv) ? null : O.toISOString();\n  }\n});\n","'use strict';\n// 20.3.4.36 / 15.9.5.43 Date.prototype.toISOString()\nvar fails = require('./_fails');\nvar getTime = Date.prototype.getTime;\nvar $toISOString = Date.prototype.toISOString;\n\nvar lz = function (num) {\n  return num > 9 ? num : '0' + num;\n};\n\n// PhantomJS / old WebKit has a broken implementations\nmodule.exports = (fails(function () {\n  return $toISOString.call(new Date(-5e13 - 1)) != '0385-07-25T07:06:39.999Z';\n}) || !fails(function () {\n  $toISOString.call(new Date(NaN));\n})) ? function toISOString() {\n  if (!isFinite(getTime.call(this))) throw RangeError('Invalid time value');\n  var d = this;\n  var y = d.getUTCFullYear();\n  var m = d.getUTCMilliseconds();\n  var s = y < 0 ? '-' : y > 9999 ? '+' : '';\n  return s + ('00000' + Math.abs(y)).slice(s ? -6 : -4) +\n    '-' + lz(d.getUTCMonth() + 1) + '-' + lz(d.getUTCDate()) +\n    'T' + lz(d.getUTCHours()) + ':' + lz(d.getUTCMinutes()) +\n    ':' + lz(d.getUTCSeconds()) + '.' + (m > 99 ? m : '0' + lz(m)) + 'Z';\n} : $toISOString;\n","// 20.3.4.36 / 15.9.5.43 Date.prototype.toISOString()\nvar $export = require('./_export');\nvar toISOString = require('./_date-to-iso-string');\n\n// PhantomJS / old WebKit has a broken implementations\n$export($export.P + $export.F * (Date.prototype.toISOString !== toISOString), 'Date', {\n  toISOString: toISOString\n});\n","var DateProto = Date.prototype;\nvar INVALID_DATE = 'Invalid Date';\nvar TO_STRING = 'toString';\nvar $toString = DateProto[TO_STRING];\nvar getTime = DateProto.getTime;\nif (new Date(NaN) + '' != INVALID_DATE) {\n  require('./_redefine')(DateProto, TO_STRING, function toString() {\n    var value = getTime.call(this);\n    // eslint-disable-next-line no-self-compare\n    return value === value ? $toString.call(this) : INVALID_DATE;\n  });\n}\n","'use strict';\nvar anObject = require('./_an-object');\nvar toPrimitive = require('./_to-primitive');\nvar NUMBER = 'number';\n\nmodule.exports = function (hint) {\n  if (hint !== 'string' && hint !== NUMBER && hint !== 'default') throw TypeError('Incorrect hint');\n  return toPrimitive(anObject(this), hint != NUMBER);\n};\n","var TO_PRIMITIVE = require('./_wks')('toPrimitive');\nvar proto = Date.prototype;\n\nif (!(TO_PRIMITIVE in proto)) require('./_hide')(proto, TO_PRIMITIVE, require('./_date-to-primitive'));\n","// 22.1.2.2 / 15.4.3.2 Array.isArray(arg)\nvar $export = require('./_export');\n\n$export($export.S, 'Array', { isArray: require('./_is-array') });\n","// call something on iterator step with safe closing on error\nvar anObject = require('./_an-object');\nmodule.exports = function (iterator, fn, value, entries) {\n  try {\n    return entries ? fn(anObject(value)[0], value[1]) : fn(value);\n  // 7.4.6 IteratorClose(iterator, completion)\n  } catch (e) {\n    var ret = iterator['return'];\n    if (ret !== undefined) anObject(ret.call(iterator));\n    throw e;\n  }\n};\n","// check on default Array iterator\nvar Iterators = require('./_iterators');\nvar ITERATOR = require('./_wks')('iterator');\nvar ArrayProto = Array.prototype;\n\nmodule.exports = function (it) {\n  return it !== undefined && (Iterators.Array === it || ArrayProto[ITERATOR] === it);\n};\n","'use strict';\nvar $defineProperty = require('./_object-dp');\nvar createDesc = require('./_property-desc');\n\nmodule.exports = function (object, index, value) {\n  if (index in object) $defineProperty.f(object, index, createDesc(0, value));\n  else object[index] = value;\n};\n","var classof = require('./_classof');\nvar ITERATOR = require('./_wks')('iterator');\nvar Iterators = require('./_iterators');\nmodule.exports = require('./_core').getIteratorMethod = function (it) {\n  if (it != undefined) return it[ITERATOR]\n    || it['@@iterator']\n    || Iterators[classof(it)];\n};\n","var ITERATOR = require('./_wks')('iterator');\nvar SAFE_CLOSING = false;\n\ntry {\n  var riter = [7][ITERATOR]();\n  riter['return'] = function () { SAFE_CLOSING = true; };\n  // eslint-disable-next-line no-throw-literal\n  Array.from(riter, function () { throw 2; });\n} catch (e) { /* empty */ }\n\nmodule.exports = function (exec, skipClosing) {\n  if (!skipClosing && !SAFE_CLOSING) return false;\n  var safe = false;\n  try {\n    var arr = [7];\n    var iter = arr[ITERATOR]();\n    iter.next = function () { return { done: safe = true }; };\n    arr[ITERATOR] = function () { return iter; };\n    exec(arr);\n  } catch (e) { /* empty */ }\n  return safe;\n};\n","'use strict';\nvar ctx = require('./_ctx');\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar call = require('./_iter-call');\nvar isArrayIter = require('./_is-array-iter');\nvar toLength = require('./_to-length');\nvar createProperty = require('./_create-property');\nvar getIterFn = require('./core.get-iterator-method');\n\n$export($export.S + $export.F * !require('./_iter-detect')(function (iter) { Array.from(iter); }), 'Array', {\n  // 22.1.2.1 Array.from(arrayLike, mapfn = undefined, thisArg = undefined)\n  from: function from(arrayLike /* , mapfn = undefined, thisArg = undefined */) {\n    var O = toObject(arrayLike);\n    var C = typeof this == 'function' ? this : Array;\n    var aLen = arguments.length;\n    var mapfn = aLen > 1 ? arguments[1] : undefined;\n    var mapping = mapfn !== undefined;\n    var index = 0;\n    var iterFn = getIterFn(O);\n    var length, result, step, iterator;\n    if (mapping) mapfn = ctx(mapfn, aLen > 2 ? arguments[2] : undefined, 2);\n    // if object isn't iterable or it's array with default iterator - use simple case\n    if (iterFn != undefined && !(C == Array && isArrayIter(iterFn))) {\n      for (iterator = iterFn.call(O), result = new C(); !(step = iterator.next()).done; index++) {\n        createProperty(result, index, mapping ? call(iterator, mapfn, [step.value, index], true) : step.value);\n      }\n    } else {\n      length = toLength(O.length);\n      for (result = new C(length); length > index; index++) {\n        createProperty(result, index, mapping ? mapfn(O[index], index) : O[index]);\n      }\n    }\n    result.length = index;\n    return result;\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar createProperty = require('./_create-property');\n\n// WebKit Array.of isn't generic\n$export($export.S + $export.F * require('./_fails')(function () {\n  function F() { /* empty */ }\n  return !(Array.of.call(F) instanceof F);\n}), 'Array', {\n  // 22.1.2.3 Array.of( ...items)\n  of: function of(/* ...args */) {\n    var index = 0;\n    var aLen = arguments.length;\n    var result = new (typeof this == 'function' ? this : Array)(aLen);\n    while (aLen > index) createProperty(result, index, arguments[index++]);\n    result.length = aLen;\n    return result;\n  }\n});\n","'use strict';\nvar fails = require('./_fails');\n\nmodule.exports = function (method, arg) {\n  return !!method && fails(function () {\n    // eslint-disable-next-line no-useless-call\n    arg ? method.call(null, function () { /* empty */ }, 1) : method.call(null);\n  });\n};\n","'use strict';\n// 22.1.3.13 Array.prototype.join(separator)\nvar $export = require('./_export');\nvar toIObject = require('./_to-iobject');\nvar arrayJoin = [].join;\n\n// fallback for not array-like strings\n$export($export.P + $export.F * (require('./_iobject') != Object || !require('./_strict-method')(arrayJoin)), 'Array', {\n  join: function join(separator) {\n    return arrayJoin.call(toIObject(this), separator === undefined ? ',' : separator);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar html = require('./_html');\nvar cof = require('./_cof');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\nvar arraySlice = [].slice;\n\n// fallback for not array-like ES3 strings and DOM objects\n$export($export.P + $export.F * require('./_fails')(function () {\n  if (html) arraySlice.call(html);\n}), 'Array', {\n  slice: function slice(begin, end) {\n    var len = toLength(this.length);\n    var klass = cof(this);\n    end = end === undefined ? len : end;\n    if (klass == 'Array') return arraySlice.call(this, begin, end);\n    var start = toAbsoluteIndex(begin, len);\n    var upTo = toAbsoluteIndex(end, len);\n    var size = toLength(upTo - start);\n    var cloned = new Array(size);\n    var i = 0;\n    for (; i < size; i++) cloned[i] = klass == 'String'\n      ? this.charAt(start + i)\n      : this[start + i];\n    return cloned;\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar aFunction = require('./_a-function');\nvar toObject = require('./_to-object');\nvar fails = require('./_fails');\nvar $sort = [].sort;\nvar test = [1, 2, 3];\n\n$export($export.P + $export.F * (fails(function () {\n  // IE8-\n  test.sort(undefined);\n}) || !fails(function () {\n  // V8 bug\n  test.sort(null);\n  // Old WebKit\n}) || !require('./_strict-method')($sort)), 'Array', {\n  // 22.1.3.25 Array.prototype.sort(comparefn)\n  sort: function sort(comparefn) {\n    return comparefn === undefined\n      ? $sort.call(toObject(this))\n      : $sort.call(toObject(this), aFunction(comparefn));\n  }\n});\n","var isObject = require('./_is-object');\nvar isArray = require('./_is-array');\nvar SPECIES = require('./_wks')('species');\n\nmodule.exports = function (original) {\n  var C;\n  if (isArray(original)) {\n    C = original.constructor;\n    // cross-realm fallback\n    if (typeof C == 'function' && (C === Array || isArray(C.prototype))) C = undefined;\n    if (isObject(C)) {\n      C = C[SPECIES];\n      if (C === null) C = undefined;\n    }\n  } return C === undefined ? Array : C;\n};\n","// 9.4.2.3 ArraySpeciesCreate(originalArray, length)\nvar speciesConstructor = require('./_array-species-constructor');\n\nmodule.exports = function (original, length) {\n  return new (speciesConstructor(original))(length);\n};\n","// 0 -> Array#forEach\n// 1 -> Array#map\n// 2 -> Array#filter\n// 3 -> Array#some\n// 4 -> Array#every\n// 5 -> Array#find\n// 6 -> Array#findIndex\nvar ctx = require('./_ctx');\nvar IObject = require('./_iobject');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar asc = require('./_array-species-create');\nmodule.exports = function (TYPE, $create) {\n  var IS_MAP = TYPE == 1;\n  var IS_FILTER = TYPE == 2;\n  var IS_SOME = TYPE == 3;\n  var IS_EVERY = TYPE == 4;\n  var IS_FIND_INDEX = TYPE == 6;\n  var NO_HOLES = TYPE == 5 || IS_FIND_INDEX;\n  var create = $create || asc;\n  return function ($this, callbackfn, that) {\n    var O = toObject($this);\n    var self = IObject(O);\n    var f = ctx(callbackfn, that, 3);\n    var length = toLength(self.length);\n    var index = 0;\n    var result = IS_MAP ? create($this, length) : IS_FILTER ? create($this, 0) : undefined;\n    var val, res;\n    for (;length > index; index++) if (NO_HOLES || index in self) {\n      val = self[index];\n      res = f(val, index, O);\n      if (TYPE) {\n        if (IS_MAP) result[index] = res;   // map\n        else if (res) switch (TYPE) {\n          case 3: return true;             // some\n          case 5: return val;              // find\n          case 6: return index;            // findIndex\n          case 2: result.push(val);        // filter\n        } else if (IS_EVERY) return false; // every\n      }\n    }\n    return IS_FIND_INDEX ? -1 : IS_SOME || IS_EVERY ? IS_EVERY : result;\n  };\n};\n","'use strict';\nvar $export = require('./_export');\nvar $forEach = require('./_array-methods')(0);\nvar STRICT = require('./_strict-method')([].forEach, true);\n\n$export($export.P + $export.F * !STRICT, 'Array', {\n  // 22.1.3.10 / 15.4.4.18 Array.prototype.forEach(callbackfn [, thisArg])\n  forEach: function forEach(callbackfn /* , thisArg */) {\n    return $forEach(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $map = require('./_array-methods')(1);\n\n$export($export.P + $export.F * !require('./_strict-method')([].map, true), 'Array', {\n  // 22.1.3.15 / 15.4.4.19 Array.prototype.map(callbackfn [, thisArg])\n  map: function map(callbackfn /* , thisArg */) {\n    return $map(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $filter = require('./_array-methods')(2);\n\n$export($export.P + $export.F * !require('./_strict-method')([].filter, true), 'Array', {\n  // 22.1.3.7 / 15.4.4.20 Array.prototype.filter(callbackfn [, thisArg])\n  filter: function filter(callbackfn /* , thisArg */) {\n    return $filter(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $some = require('./_array-methods')(3);\n\n$export($export.P + $export.F * !require('./_strict-method')([].some, true), 'Array', {\n  // 22.1.3.23 / 15.4.4.17 Array.prototype.some(callbackfn [, thisArg])\n  some: function some(callbackfn /* , thisArg */) {\n    return $some(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $every = require('./_array-methods')(4);\n\n$export($export.P + $export.F * !require('./_strict-method')([].every, true), 'Array', {\n  // 22.1.3.5 / 15.4.4.16 Array.prototype.every(callbackfn [, thisArg])\n  every: function every(callbackfn /* , thisArg */) {\n    return $every(this, callbackfn, arguments[1]);\n  }\n});\n","var aFunction = require('./_a-function');\nvar toObject = require('./_to-object');\nvar IObject = require('./_iobject');\nvar toLength = require('./_to-length');\n\nmodule.exports = function (that, callbackfn, aLen, memo, isRight) {\n  aFunction(callbackfn);\n  var O = toObject(that);\n  var self = IObject(O);\n  var length = toLength(O.length);\n  var index = isRight ? length - 1 : 0;\n  var i = isRight ? -1 : 1;\n  if (aLen < 2) for (;;) {\n    if (index in self) {\n      memo = self[index];\n      index += i;\n      break;\n    }\n    index += i;\n    if (isRight ? index < 0 : length <= index) {\n      throw TypeError('Reduce of empty array with no initial value');\n    }\n  }\n  for (;isRight ? index >= 0 : length > index; index += i) if (index in self) {\n    memo = callbackfn(memo, self[index], index, O);\n  }\n  return memo;\n};\n","'use strict';\nvar $export = require('./_export');\nvar $reduce = require('./_array-reduce');\n\n$export($export.P + $export.F * !require('./_strict-method')([].reduce, true), 'Array', {\n  // 22.1.3.18 / 15.4.4.21 Array.prototype.reduce(callbackfn [, initialValue])\n  reduce: function reduce(callbackfn /* , initialValue */) {\n    return $reduce(this, callbackfn, arguments.length, arguments[1], false);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $reduce = require('./_array-reduce');\n\n$export($export.P + $export.F * !require('./_strict-method')([].reduceRight, true), 'Array', {\n  // 22.1.3.19 / 15.4.4.22 Array.prototype.reduceRight(callbackfn [, initialValue])\n  reduceRight: function reduceRight(callbackfn /* , initialValue */) {\n    return $reduce(this, callbackfn, arguments.length, arguments[1], true);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $indexOf = require('./_array-includes')(false);\nvar $native = [].indexOf;\nvar NEGATIVE_ZERO = !!$native && 1 / [1].indexOf(1, -0) < 0;\n\n$export($export.P + $export.F * (NEGATIVE_ZERO || !require('./_strict-method')($native)), 'Array', {\n  // 22.1.3.11 / 15.4.4.14 Array.prototype.indexOf(searchElement [, fromIndex])\n  indexOf: function indexOf(searchElement /* , fromIndex = 0 */) {\n    return NEGATIVE_ZERO\n      // convert -0 to +0\n      ? $native.apply(this, arguments) || 0\n      : $indexOf(this, searchElement, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toIObject = require('./_to-iobject');\nvar toInteger = require('./_to-integer');\nvar toLength = require('./_to-length');\nvar $native = [].lastIndexOf;\nvar NEGATIVE_ZERO = !!$native && 1 / [1].lastIndexOf(1, -0) < 0;\n\n$export($export.P + $export.F * (NEGATIVE_ZERO || !require('./_strict-method')($native)), 'Array', {\n  // 22.1.3.14 / 15.4.4.15 Array.prototype.lastIndexOf(searchElement [, fromIndex])\n  lastIndexOf: function lastIndexOf(searchElement /* , fromIndex = @[*-1] */) {\n    // convert -0 to +0\n    if (NEGATIVE_ZERO) return $native.apply(this, arguments) || 0;\n    var O = toIObject(this);\n    var length = toLength(O.length);\n    var index = length - 1;\n    if (arguments.length > 1) index = Math.min(index, toInteger(arguments[1]));\n    if (index < 0) index = length + index;\n    for (;index >= 0; index--) if (index in O) if (O[index] === searchElement) return index || 0;\n    return -1;\n  }\n});\n","// 22.1.3.3 Array.prototype.copyWithin(target, start, end = this.length)\n'use strict';\nvar toObject = require('./_to-object');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\n\nmodule.exports = [].copyWithin || function copyWithin(target /* = 0 */, start /* = 0, end = @length */) {\n  var O = toObject(this);\n  var len = toLength(O.length);\n  var to = toAbsoluteIndex(target, len);\n  var from = toAbsoluteIndex(start, len);\n  var end = arguments.length > 2 ? arguments[2] : undefined;\n  var count = Math.min((end === undefined ? len : toAbsoluteIndex(end, len)) - from, len - to);\n  var inc = 1;\n  if (from < to && to < from + count) {\n    inc = -1;\n    from += count - 1;\n    to += count - 1;\n  }\n  while (count-- > 0) {\n    if (from in O) O[to] = O[from];\n    else delete O[to];\n    to += inc;\n    from += inc;\n  } return O;\n};\n","// 22.1.3.31 Array.prototype[@@unscopables]\nvar UNSCOPABLES = require('./_wks')('unscopables');\nvar ArrayProto = Array.prototype;\nif (ArrayProto[UNSCOPABLES] == undefined) require('./_hide')(ArrayProto, UNSCOPABLES, {});\nmodule.exports = function (key) {\n  ArrayProto[UNSCOPABLES][key] = true;\n};\n","// 22.1.3.3 Array.prototype.copyWithin(target, start, end = this.length)\nvar $export = require('./_export');\n\n$export($export.P, 'Array', { copyWithin: require('./_array-copy-within') });\n\nrequire('./_add-to-unscopables')('copyWithin');\n","// 22.1.3.6 Array.prototype.fill(value, start = 0, end = this.length)\n'use strict';\nvar toObject = require('./_to-object');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\nmodule.exports = function fill(value /* , start = 0, end = @length */) {\n  var O = toObject(this);\n  var length = toLength(O.length);\n  var aLen = arguments.length;\n  var index = toAbsoluteIndex(aLen > 1 ? arguments[1] : undefined, length);\n  var end = aLen > 2 ? arguments[2] : undefined;\n  var endPos = end === undefined ? length : toAbsoluteIndex(end, length);\n  while (endPos > index) O[index++] = value;\n  return O;\n};\n","// 22.1.3.6 Array.prototype.fill(value, start = 0, end = this.length)\nvar $export = require('./_export');\n\n$export($export.P, 'Array', { fill: require('./_array-fill') });\n\nrequire('./_add-to-unscopables')('fill');\n","'use strict';\n// 22.1.3.8 Array.prototype.find(predicate, thisArg = undefined)\nvar $export = require('./_export');\nvar $find = require('./_array-methods')(5);\nvar KEY = 'find';\nvar forced = true;\n// Shouldn't skip holes\nif (KEY in []) Array(1)[KEY](function () { forced = false; });\n$export($export.P + $export.F * forced, 'Array', {\n  find: function find(callbackfn /* , that = undefined */) {\n    return $find(this, callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\nrequire('./_add-to-unscopables')(KEY);\n","'use strict';\n// 22.1.3.9 Array.prototype.findIndex(predicate, thisArg = undefined)\nvar $export = require('./_export');\nvar $find = require('./_array-methods')(6);\nvar KEY = 'findIndex';\nvar forced = true;\n// Shouldn't skip holes\nif (KEY in []) Array(1)[KEY](function () { forced = false; });\n$export($export.P + $export.F * forced, 'Array', {\n  findIndex: function findIndex(callbackfn /* , that = undefined */) {\n    return $find(this, callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\nrequire('./_add-to-unscopables')(KEY);\n","'use strict';\nvar global = require('./_global');\nvar dP = require('./_object-dp');\nvar DESCRIPTORS = require('./_descriptors');\nvar SPECIES = require('./_wks')('species');\n\nmodule.exports = function (KEY) {\n  var C = global[KEY];\n  if (DESCRIPTORS && C && !C[SPECIES]) dP.f(C, SPECIES, {\n    configurable: true,\n    get: function () { return this; }\n  });\n};\n","require('./_set-species')('Array');\n","module.exports = function (done, value) {\n  return { value: value, done: !!done };\n};\n","'use strict';\nvar addToUnscopables = require('./_add-to-unscopables');\nvar step = require('./_iter-step');\nvar Iterators = require('./_iterators');\nvar toIObject = require('./_to-iobject');\n\n// 22.1.3.4 Array.prototype.entries()\n// 22.1.3.13 Array.prototype.keys()\n// 22.1.3.29 Array.prototype.values()\n// 22.1.3.30 Array.prototype[@@iterator]()\nmodule.exports = require('./_iter-define')(Array, 'Array', function (iterated, kind) {\n  this._t = toIObject(iterated); // target\n  this._i = 0;                   // next index\n  this._k = kind;                // kind\n// 22.1.5.2.1 %ArrayIteratorPrototype%.next()\n}, function () {\n  var O = this._t;\n  var kind = this._k;\n  var index = this._i++;\n  if (!O || index >= O.length) {\n    this._t = undefined;\n    return step(1);\n  }\n  if (kind == 'keys') return step(0, index);\n  if (kind == 'values') return step(0, O[index]);\n  return step(0, [index, O[index]]);\n}, 'values');\n\n// argumentsList[@@iterator] is %ArrayProto_values% (9.4.4.6, 9.4.4.7)\nIterators.Arguments = Iterators.Array;\n\naddToUnscopables('keys');\naddToUnscopables('values');\naddToUnscopables('entries');\n","'use strict';\n// 21.2.5.3 get RegExp.prototype.flags\nvar anObject = require('./_an-object');\nmodule.exports = function () {\n  var that = anObject(this);\n  var result = '';\n  if (that.global) result += 'g';\n  if (that.ignoreCase) result += 'i';\n  if (that.multiline) result += 'm';\n  if (that.unicode) result += 'u';\n  if (that.sticky) result += 'y';\n  return result;\n};\n","var global = require('./_global');\nvar inheritIfRequired = require('./_inherit-if-required');\nvar dP = require('./_object-dp').f;\nvar gOPN = require('./_object-gopn').f;\nvar isRegExp = require('./_is-regexp');\nvar $flags = require('./_flags');\nvar $RegExp = global.RegExp;\nvar Base = $RegExp;\nvar proto = $RegExp.prototype;\nvar re1 = /a/g;\nvar re2 = /a/g;\n// \"new\" creates a new object, old webkit buggy here\nvar CORRECT_NEW = new $RegExp(re1) !== re1;\n\nif (require('./_descriptors') && (!CORRECT_NEW || require('./_fails')(function () {\n  re2[require('./_wks')('match')] = false;\n  // RegExp constructor can alter flags and IsRegExp works correct with @@match\n  return $RegExp(re1) != re1 || $RegExp(re2) == re2 || $RegExp(re1, 'i') != '/a/i';\n}))) {\n  $RegExp = function RegExp(p, f) {\n    var tiRE = this instanceof $RegExp;\n    var piRE = isRegExp(p);\n    var fiU = f === undefined;\n    return !tiRE && piRE && p.constructor === $RegExp && fiU ? p\n      : inheritIfRequired(CORRECT_NEW\n        ? new Base(piRE && !fiU ? p.source : p, f)\n        : Base((piRE = p instanceof $RegExp) ? p.source : p, piRE && fiU ? $flags.call(p) : f)\n      , tiRE ? this : proto, $RegExp);\n  };\n  var proxy = function (key) {\n    key in $RegExp || dP($RegExp, key, {\n      configurable: true,\n      get: function () { return Base[key]; },\n      set: function (it) { Base[key] = it; }\n    });\n  };\n  for (var keys = gOPN(Base), i = 0; keys.length > i;) proxy(keys[i++]);\n  proto.constructor = $RegExp;\n  $RegExp.prototype = proto;\n  require('./_redefine')(global, 'RegExp', $RegExp);\n}\n\nrequire('./_set-species')('RegExp');\n","'use strict';\n\nvar regexpFlags = require('./_flags');\n\nvar nativeExec = RegExp.prototype.exec;\n// This always refers to the native implementation, because the\n// String#replace polyfill uses ./fix-regexp-well-known-symbol-logic.js,\n// which loads this file before patching the method.\nvar nativeReplace = String.prototype.replace;\n\nvar patchedExec = nativeExec;\n\nvar LAST_INDEX = 'lastIndex';\n\nvar UPDATES_LAST_INDEX_WRONG = (function () {\n  var re1 = /a/,\n      re2 = /b*/g;\n  nativeExec.call(re1, 'a');\n  nativeExec.call(re2, 'a');\n  return re1[LAST_INDEX] !== 0 || re2[LAST_INDEX] !== 0;\n})();\n\n// nonparticipating capturing group, copied from es5-shim's String#split patch.\nvar NPCG_INCLUDED = /()??/.exec('')[1] !== undefined;\n\nvar PATCH = UPDATES_LAST_INDEX_WRONG || NPCG_INCLUDED;\n\nif (PATCH) {\n  patchedExec = function exec(str) {\n    var re = this;\n    var lastIndex, reCopy, match, i;\n\n    if (NPCG_INCLUDED) {\n      reCopy = new RegExp('^' + re.source + '$(?!\\\\s)', regexpFlags.call(re));\n    }\n    if (UPDATES_LAST_INDEX_WRONG) lastIndex = re[LAST_INDEX];\n\n    match = nativeExec.call(re, str);\n\n    if (UPDATES_LAST_INDEX_WRONG && match) {\n      re[LAST_INDEX] = re.global ? match.index + match[0].length : lastIndex;\n    }\n    if (NPCG_INCLUDED && match && match.length > 1) {\n      // Fix browsers whose `exec` methods don't consistently return `undefined`\n      // for NPCG, like IE8. NOTE: This doesn' work for /(.?)?/\n      // eslint-disable-next-line no-loop-func\n      nativeReplace.call(match[0], reCopy, function () {\n        for (i = 1; i < arguments.length - 2; i++) {\n          if (arguments[i] === undefined) match[i] = undefined;\n        }\n      });\n    }\n\n    return match;\n  };\n}\n\nmodule.exports = patchedExec;\n","'use strict';\nvar regexpExec = require('./_regexp-exec');\nrequire('./_export')({\n  target: 'RegExp',\n  proto: true,\n  forced: regexpExec !== /./.exec\n}, {\n  exec: regexpExec\n});\n","// 21.2.5.3 get RegExp.prototype.flags()\nif (require('./_descriptors') && /./g.flags != 'g') require('./_object-dp').f(RegExp.prototype, 'flags', {\n  configurable: true,\n  get: require('./_flags')\n});\n","'use strict';\nrequire('./es6.regexp.flags');\nvar anObject = require('./_an-object');\nvar $flags = require('./_flags');\nvar DESCRIPTORS = require('./_descriptors');\nvar TO_STRING = 'toString';\nvar $toString = /./[TO_STRING];\n\nvar define = function (fn) {\n  require('./_redefine')(RegExp.prototype, TO_STRING, fn, true);\n};\n\n// 21.2.5.14 RegExp.prototype.toString()\nif (require('./_fails')(function () { return $toString.call({ source: 'a', flags: 'b' }) != '/a/b'; })) {\n  define(function toString() {\n    var R = anObject(this);\n    return '/'.concat(R.source, '/',\n      'flags' in R ? R.flags : !DESCRIPTORS && R instanceof RegExp ? $flags.call(R) : undefined);\n  });\n// FF44- RegExp#toString has a wrong name\n} else if ($toString.name != TO_STRING) {\n  define(function toString() {\n    return $toString.call(this);\n  });\n}\n","'use strict';\nvar at = require('./_string-at')(true);\n\n // `AdvanceStringIndex` abstract operation\n// https://tc39.github.io/ecma262/#sec-advancestringindex\nmodule.exports = function (S, index, unicode) {\n  return index + (unicode ? at(S, index).length : 1);\n};\n","'use strict';\n\nvar classof = require('./_classof');\nvar builtinExec = RegExp.prototype.exec;\n\n // `RegExpExec` abstract operation\n// https://tc39.github.io/ecma262/#sec-regexpexec\nmodule.exports = function (R, S) {\n  var exec = R.exec;\n  if (typeof exec === 'function') {\n    var result = exec.call(R, S);\n    if (typeof result !== 'object') {\n      throw new TypeError('RegExp exec method returned something other than an Object or null');\n    }\n    return result;\n  }\n  if (classof(R) !== 'RegExp') {\n    throw new TypeError('RegExp#exec called on incompatible receiver');\n  }\n  return builtinExec.call(R, S);\n};\n","'use strict';\nrequire('./es6.regexp.exec');\nvar redefine = require('./_redefine');\nvar hide = require('./_hide');\nvar fails = require('./_fails');\nvar defined = require('./_defined');\nvar wks = require('./_wks');\nvar regexpExec = require('./_regexp-exec');\n\nvar SPECIES = wks('species');\n\nvar REPLACE_SUPPORTS_NAMED_GROUPS = !fails(function () {\n  // #replace needs built-in support for named groups.\n  // #match works fine because it just return the exec results, even if it has\n  // a \"grops\" property.\n  var re = /./;\n  re.exec = function () {\n    var result = [];\n    result.groups = { a: '7' };\n    return result;\n  };\n  return ''.replace(re, '$<a>') !== '7';\n});\n\nvar SPLIT_WORKS_WITH_OVERWRITTEN_EXEC = (function () {\n  // Chrome 51 has a buggy \"split\" implementation when RegExp#exec !== nativeExec\n  var re = /(?:)/;\n  var originalExec = re.exec;\n  re.exec = function () { return originalExec.apply(this, arguments); };\n  var result = 'ab'.split(re);\n  return result.length === 2 && result[0] === 'a' && result[1] === 'b';\n})();\n\nmodule.exports = function (KEY, length, exec) {\n  var SYMBOL = wks(KEY);\n\n  var DELEGATES_TO_SYMBOL = !fails(function () {\n    // String methods call symbol-named RegEp methods\n    var O = {};\n    O[SYMBOL] = function () { return 7; };\n    return ''[KEY](O) != 7;\n  });\n\n  var DELEGATES_TO_EXEC = DELEGATES_TO_SYMBOL ? !fails(function () {\n    // Symbol-named RegExp methods call .exec\n    var execCalled = false;\n    var re = /a/;\n    re.exec = function () { execCalled = true; return null; };\n    if (KEY === 'split') {\n      // RegExp[@@split] doesn't call the regex's exec method, but first creates\n      // a new one. We need to return the patched regex when creating the new one.\n      re.constructor = {};\n      re.constructor[SPECIES] = function () { return re; };\n    }\n    re[SYMBOL]('');\n    return !execCalled;\n  }) : undefined;\n\n  if (\n    !DELEGATES_TO_SYMBOL ||\n    !DELEGATES_TO_EXEC ||\n    (KEY === 'replace' && !REPLACE_SUPPORTS_NAMED_GROUPS) ||\n    (KEY === 'split' && !SPLIT_WORKS_WITH_OVERWRITTEN_EXEC)\n  ) {\n    var nativeRegExpMethod = /./[SYMBOL];\n    var fns = exec(\n      defined,\n      SYMBOL,\n      ''[KEY],\n      function maybeCallNative(nativeMethod, regexp, str, arg2, forceStringMethod) {\n        if (regexp.exec === regexpExec) {\n          if (DELEGATES_TO_SYMBOL && !forceStringMethod) {\n            // The native String method already delegates to @@method (this\n            // polyfilled function), leasing to infinite recursion.\n            // We avoid it by directly calling the native @@method method.\n            return { done: true, value: nativeRegExpMethod.call(regexp, str, arg2) };\n          }\n          return { done: true, value: nativeMethod.call(str, regexp, arg2) };\n        }\n        return { done: false };\n      }\n    );\n    var strfn = fns[0];\n    var rxfn = fns[1];\n\n    redefine(String.prototype, KEY, strfn);\n    hide(RegExp.prototype, SYMBOL, length == 2\n      // 21.2.5.8 RegExp.prototype[@@replace](string, replaceValue)\n      // 21.2.5.11 RegExp.prototype[@@split](string, limit)\n      ? function (string, arg) { return rxfn.call(string, this, arg); }\n      // 21.2.5.6 RegExp.prototype[@@match](string)\n      // 21.2.5.9 RegExp.prototype[@@search](string)\n      : function (string) { return rxfn.call(string, this); }\n    );\n  }\n};\n","'use strict';\n\nvar anObject = require('./_an-object');\nvar toLength = require('./_to-length');\nvar advanceStringIndex = require('./_advance-string-index');\nvar regExpExec = require('./_regexp-exec-abstract');\n\n// @@match logic\nrequire('./_fix-re-wks')('match', 1, function (defined, MATCH, $match, maybeCallNative) {\n  return [\n    // `String.prototype.match` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.match\n    function match(regexp) {\n      var O = defined(this);\n      var fn = regexp == undefined ? undefined : regexp[MATCH];\n      return fn !== undefined ? fn.call(regexp, O) : new RegExp(regexp)[MATCH](String(O));\n    },\n    // `RegExp.prototype[@@match]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@match\n    function (regexp) {\n      var res = maybeCallNative($match, regexp, this);\n      if (res.done) return res.value;\n      var rx = anObject(regexp);\n      var S = String(this);\n      if (!rx.global) return regExpExec(rx, S);\n      var fullUnicode = rx.unicode;\n      rx.lastIndex = 0;\n      var A = [];\n      var n = 0;\n      var result;\n      while ((result = regExpExec(rx, S)) !== null) {\n        var matchStr = String(result[0]);\n        A[n] = matchStr;\n        if (matchStr === '') rx.lastIndex = advanceStringIndex(S, toLength(rx.lastIndex), fullUnicode);\n        n++;\n      }\n      return n === 0 ? null : A;\n    }\n  ];\n});\n","'use strict';\n\nvar anObject = require('./_an-object');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar toInteger = require('./_to-integer');\nvar advanceStringIndex = require('./_advance-string-index');\nvar regExpExec = require('./_regexp-exec-abstract');\nvar max = Math.max;\nvar min = Math.min;\nvar floor = Math.floor;\nvar SUBSTITUTION_SYMBOLS = /\\$([$&`']|\\d\\d?|<[^>]*>)/g;\nvar SUBSTITUTION_SYMBOLS_NO_NAMED = /\\$([$&`']|\\d\\d?)/g;\n\nvar maybeToString = function (it) {\n  return it === undefined ? it : String(it);\n};\n\n// @@replace logic\nrequire('./_fix-re-wks')('replace', 2, function (defined, REPLACE, $replace, maybeCallNative) {\n  return [\n    // `String.prototype.replace` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.replace\n    function replace(searchValue, replaceValue) {\n      var O = defined(this);\n      var fn = searchValue == undefined ? undefined : searchValue[REPLACE];\n      return fn !== undefined\n        ? fn.call(searchValue, O, replaceValue)\n        : $replace.call(String(O), searchValue, replaceValue);\n    },\n    // `RegExp.prototype[@@replace]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@replace\n    function (regexp, replaceValue) {\n      var res = maybeCallNative($replace, regexp, this, replaceValue);\n      if (res.done) return res.value;\n\n      var rx = anObject(regexp);\n      var S = String(this);\n      var functionalReplace = typeof replaceValue === 'function';\n      if (!functionalReplace) replaceValue = String(replaceValue);\n      var global = rx.global;\n      if (global) {\n        var fullUnicode = rx.unicode;\n        rx.lastIndex = 0;\n      }\n      var results = [];\n      while (true) {\n        var result = regExpExec(rx, S);\n        if (result === null) break;\n        results.push(result);\n        if (!global) break;\n        var matchStr = String(result[0]);\n        if (matchStr === '') rx.lastIndex = advanceStringIndex(S, toLength(rx.lastIndex), fullUnicode);\n      }\n      var accumulatedResult = '';\n      var nextSourcePosition = 0;\n      for (var i = 0; i < results.length; i++) {\n        result = results[i];\n        var matched = String(result[0]);\n        var position = max(min(toInteger(result.index), S.length), 0);\n        var captures = [];\n        // NOTE: This is equivalent to\n        //   captures = result.slice(1).map(maybeToString)\n        // but for some reason `nativeSlice.call(result, 1, result.length)` (called in\n        // the slice polyfill when slicing native arrays) \"doesn't work\" in safari 9 and\n        // causes a crash (https://pastebin.com/N21QzeQA) when trying to debug it.\n        for (var j = 1; j < result.length; j++) captures.push(maybeToString(result[j]));\n        var namedCaptures = result.groups;\n        if (functionalReplace) {\n          var replacerArgs = [matched].concat(captures, position, S);\n          if (namedCaptures !== undefined) replacerArgs.push(namedCaptures);\n          var replacement = String(replaceValue.apply(undefined, replacerArgs));\n        } else {\n          replacement = getSubstitution(matched, S, position, captures, namedCaptures, replaceValue);\n        }\n        if (position >= nextSourcePosition) {\n          accumulatedResult += S.slice(nextSourcePosition, position) + replacement;\n          nextSourcePosition = position + matched.length;\n        }\n      }\n      return accumulatedResult + S.slice(nextSourcePosition);\n    }\n  ];\n\n    // https://tc39.github.io/ecma262/#sec-getsubstitution\n  function getSubstitution(matched, str, position, captures, namedCaptures, replacement) {\n    var tailPos = position + matched.length;\n    var m = captures.length;\n    var symbols = SUBSTITUTION_SYMBOLS_NO_NAMED;\n    if (namedCaptures !== undefined) {\n      namedCaptures = toObject(namedCaptures);\n      symbols = SUBSTITUTION_SYMBOLS;\n    }\n    return $replace.call(replacement, symbols, function (match, ch) {\n      var capture;\n      switch (ch.charAt(0)) {\n        case '$': return '$';\n        case '&': return matched;\n        case '`': return str.slice(0, position);\n        case \"'\": return str.slice(tailPos);\n        case '<':\n          capture = namedCaptures[ch.slice(1, -1)];\n          break;\n        default: // \\d\\d?\n          var n = +ch;\n          if (n === 0) return match;\n          if (n > m) {\n            var f = floor(n / 10);\n            if (f === 0) return match;\n            if (f <= m) return captures[f - 1] === undefined ? ch.charAt(1) : captures[f - 1] + ch.charAt(1);\n            return match;\n          }\n          capture = captures[n - 1];\n      }\n      return capture === undefined ? '' : capture;\n    });\n  }\n});\n","'use strict';\n\nvar anObject = require('./_an-object');\nvar sameValue = require('./_same-value');\nvar regExpExec = require('./_regexp-exec-abstract');\n\n// @@search logic\nrequire('./_fix-re-wks')('search', 1, function (defined, SEARCH, $search, maybeCallNative) {\n  return [\n    // `String.prototype.search` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.search\n    function search(regexp) {\n      var O = defined(this);\n      var fn = regexp == undefined ? undefined : regexp[SEARCH];\n      return fn !== undefined ? fn.call(regexp, O) : new RegExp(regexp)[SEARCH](String(O));\n    },\n    // `RegExp.prototype[@@search]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@search\n    function (regexp) {\n      var res = maybeCallNative($search, regexp, this);\n      if (res.done) return res.value;\n      var rx = anObject(regexp);\n      var S = String(this);\n      var previousLastIndex = rx.lastIndex;\n      if (!sameValue(previousLastIndex, 0)) rx.lastIndex = 0;\n      var result = regExpExec(rx, S);\n      if (!sameValue(rx.lastIndex, previousLastIndex)) rx.lastIndex = previousLastIndex;\n      return result === null ? -1 : result.index;\n    }\n  ];\n});\n","// 7.3.20 SpeciesConstructor(O, defaultConstructor)\nvar anObject = require('./_an-object');\nvar aFunction = require('./_a-function');\nvar SPECIES = require('./_wks')('species');\nmodule.exports = function (O, D) {\n  var C = anObject(O).constructor;\n  var S;\n  return C === undefined || (S = anObject(C)[SPECIES]) == undefined ? D : aFunction(S);\n};\n","'use strict';\n\nvar isRegExp = require('./_is-regexp');\nvar anObject = require('./_an-object');\nvar speciesConstructor = require('./_species-constructor');\nvar advanceStringIndex = require('./_advance-string-index');\nvar toLength = require('./_to-length');\nvar callRegExpExec = require('./_regexp-exec-abstract');\nvar regexpExec = require('./_regexp-exec');\nvar fails = require('./_fails');\nvar $min = Math.min;\nvar $push = [].push;\nvar $SPLIT = 'split';\nvar LENGTH = 'length';\nvar LAST_INDEX = 'lastIndex';\nvar MAX_UINT32 = 0xffffffff;\n\n// babel-minify transpiles RegExp('x', 'y') -> /x/y and it causes SyntaxError\nvar SUPPORTS_Y = !fails(function () { RegExp(MAX_UINT32, 'y'); });\n\n// @@split logic\nrequire('./_fix-re-wks')('split', 2, function (defined, SPLIT, $split, maybeCallNative) {\n  var internalSplit;\n  if (\n    'abbc'[$SPLIT](/(b)*/)[1] == 'c' ||\n    'test'[$SPLIT](/(?:)/, -1)[LENGTH] != 4 ||\n    'ab'[$SPLIT](/(?:ab)*/)[LENGTH] != 2 ||\n    '.'[$SPLIT](/(.?)(.?)/)[LENGTH] != 4 ||\n    '.'[$SPLIT](/()()/)[LENGTH] > 1 ||\n    ''[$SPLIT](/.?/)[LENGTH]\n  ) {\n    // based on es5-shim implementation, need to rework it\n    internalSplit = function (separator, limit) {\n      var string = String(this);\n      if (separator === undefined && limit === 0) return [];\n      // If `separator` is not a regex, use native split\n      if (!isRegExp(separator)) return $split.call(string, separator, limit);\n      var output = [];\n      var flags = (separator.ignoreCase ? 'i' : '') +\n                  (separator.multiline ? 'm' : '') +\n                  (separator.unicode ? 'u' : '') +\n                  (separator.sticky ? 'y' : '');\n      var lastLastIndex = 0;\n      var splitLimit = limit === undefined ? MAX_UINT32 : limit >>> 0;\n      // Make `global` and avoid `lastIndex` issues by working with a copy\n      var separatorCopy = new RegExp(separator.source, flags + 'g');\n      var match, lastIndex, lastLength;\n      while (match = regexpExec.call(separatorCopy, string)) {\n        lastIndex = separatorCopy[LAST_INDEX];\n        if (lastIndex > lastLastIndex) {\n          output.push(string.slice(lastLastIndex, match.index));\n          if (match[LENGTH] > 1 && match.index < string[LENGTH]) $push.apply(output, match.slice(1));\n          lastLength = match[0][LENGTH];\n          lastLastIndex = lastIndex;\n          if (output[LENGTH] >= splitLimit) break;\n        }\n        if (separatorCopy[LAST_INDEX] === match.index) separatorCopy[LAST_INDEX]++; // Avoid an infinite loop\n      }\n      if (lastLastIndex === string[LENGTH]) {\n        if (lastLength || !separatorCopy.test('')) output.push('');\n      } else output.push(string.slice(lastLastIndex));\n      return output[LENGTH] > splitLimit ? output.slice(0, splitLimit) : output;\n    };\n  // Chakra, V8\n  } else if ('0'[$SPLIT](undefined, 0)[LENGTH]) {\n    internalSplit = function (separator, limit) {\n      return separator === undefined && limit === 0 ? [] : $split.call(this, separator, limit);\n    };\n  } else {\n    internalSplit = $split;\n  }\n\n  return [\n    // `String.prototype.split` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.split\n    function split(separator, limit) {\n      var O = defined(this);\n      var splitter = separator == undefined ? undefined : separator[SPLIT];\n      return splitter !== undefined\n        ? splitter.call(separator, O, limit)\n        : internalSplit.call(String(O), separator, limit);\n    },\n    // `RegExp.prototype[@@split]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@split\n    //\n    // NOTE: This cannot be properly polyfilled in engines that don't support\n    // the 'y' flag.\n    function (regexp, limit) {\n      var res = maybeCallNative(internalSplit, regexp, this, limit, internalSplit !== $split);\n      if (res.done) return res.value;\n\n      var rx = anObject(regexp);\n      var S = String(this);\n      var C = speciesConstructor(rx, RegExp);\n\n      var unicodeMatching = rx.unicode;\n      var flags = (rx.ignoreCase ? 'i' : '') +\n                  (rx.multiline ? 'm' : '') +\n                  (rx.unicode ? 'u' : '') +\n                  (SUPPORTS_Y ? 'y' : 'g');\n\n      // ^(? + rx + ) is needed, in combination with some S slicing, to\n      // simulate the 'y' flag.\n      var splitter = new C(SUPPORTS_Y ? rx : '^(?:' + rx.source + ')', flags);\n      var lim = limit === undefined ? MAX_UINT32 : limit >>> 0;\n      if (lim === 0) return [];\n      if (S.length === 0) return callRegExpExec(splitter, S) === null ? [S] : [];\n      var p = 0;\n      var q = 0;\n      var A = [];\n      while (q < S.length) {\n        splitter.lastIndex = SUPPORTS_Y ? q : 0;\n        var z = callRegExpExec(splitter, SUPPORTS_Y ? S : S.slice(q));\n        var e;\n        if (\n          z === null ||\n          (e = $min(toLength(splitter.lastIndex + (SUPPORTS_Y ? 0 : q)), S.length)) === p\n        ) {\n          q = advanceStringIndex(S, q, unicodeMatching);\n        } else {\n          A.push(S.slice(p, q));\n          if (A.length === lim) return A;\n          for (var i = 1; i <= z.length - 1; i++) {\n            A.push(z[i]);\n            if (A.length === lim) return A;\n          }\n          q = p = e;\n        }\n      }\n      A.push(S.slice(p));\n      return A;\n    }\n  ];\n});\n","module.exports = function (it, Constructor, name, forbiddenField) {\n  if (!(it instanceof Constructor) || (forbiddenField !== undefined && forbiddenField in it)) {\n    throw TypeError(name + ': incorrect invocation!');\n  } return it;\n};\n","var ctx = require('./_ctx');\nvar call = require('./_iter-call');\nvar isArrayIter = require('./_is-array-iter');\nvar anObject = require('./_an-object');\nvar toLength = require('./_to-length');\nvar getIterFn = require('./core.get-iterator-method');\nvar BREAK = {};\nvar RETURN = {};\nvar exports = module.exports = function (iterable, entries, fn, that, ITERATOR) {\n  var iterFn = ITERATOR ? function () { return iterable; } : getIterFn(iterable);\n  var f = ctx(fn, that, entries ? 2 : 1);\n  var index = 0;\n  var length, step, iterator, result;\n  if (typeof iterFn != 'function') throw TypeError(iterable + ' is not iterable!');\n  // fast case for arrays with default iterator\n  if (isArrayIter(iterFn)) for (length = toLength(iterable.length); length > index; index++) {\n    result = entries ? f(anObject(step = iterable[index])[0], step[1]) : f(iterable[index]);\n    if (result === BREAK || result === RETURN) return result;\n  } else for (iterator = iterFn.call(iterable); !(step = iterator.next()).done;) {\n    result = call(iterator, f, step.value, entries);\n    if (result === BREAK || result === RETURN) return result;\n  }\n};\nexports.BREAK = BREAK;\nexports.RETURN = RETURN;\n","var ctx = require('./_ctx');\nvar invoke = require('./_invoke');\nvar html = require('./_html');\nvar cel = require('./_dom-create');\nvar global = require('./_global');\nvar process = global.process;\nvar setTask = global.setImmediate;\nvar clearTask = global.clearImmediate;\nvar MessageChannel = global.MessageChannel;\nvar Dispatch = global.Dispatch;\nvar counter = 0;\nvar queue = {};\nvar ONREADYSTATECHANGE = 'onreadystatechange';\nvar defer, channel, port;\nvar run = function () {\n  var id = +this;\n  // eslint-disable-next-line no-prototype-builtins\n  if (queue.hasOwnProperty(id)) {\n    var fn = queue[id];\n    delete queue[id];\n    fn();\n  }\n};\nvar listener = function (event) {\n  run.call(event.data);\n};\n// Node.js 0.9+ & IE10+ has setImmediate, otherwise:\nif (!setTask || !clearTask) {\n  setTask = function setImmediate(fn) {\n    var args = [];\n    var i = 1;\n    while (arguments.length > i) args.push(arguments[i++]);\n    queue[++counter] = function () {\n      // eslint-disable-next-line no-new-func\n      invoke(typeof fn == 'function' ? fn : Function(fn), args);\n    };\n    defer(counter);\n    return counter;\n  };\n  clearTask = function clearImmediate(id) {\n    delete queue[id];\n  };\n  // Node.js 0.8-\n  if (require('./_cof')(process) == 'process') {\n    defer = function (id) {\n      process.nextTick(ctx(run, id, 1));\n    };\n  // Sphere (JS game engine) Dispatch API\n  } else if (Dispatch && Dispatch.now) {\n    defer = function (id) {\n      Dispatch.now(ctx(run, id, 1));\n    };\n  // Browsers with MessageChannel, includes WebWorkers\n  } else if (MessageChannel) {\n    channel = new MessageChannel();\n    port = channel.port2;\n    channel.port1.onmessage = listener;\n    defer = ctx(port.postMessage, port, 1);\n  // Browsers with postMessage, skip WebWorkers\n  // IE8 has postMessage, but it's sync & typeof its postMessage is 'object'\n  } else if (global.addEventListener && typeof postMessage == 'function' && !global.importScripts) {\n    defer = function (id) {\n      global.postMessage(id + '', '*');\n    };\n    global.addEventListener('message', listener, false);\n  // IE8-\n  } else if (ONREADYSTATECHANGE in cel('script')) {\n    defer = function (id) {\n      html.appendChild(cel('script'))[ONREADYSTATECHANGE] = function () {\n        html.removeChild(this);\n        run.call(id);\n      };\n    };\n  // Rest old browsers\n  } else {\n    defer = function (id) {\n      setTimeout(ctx(run, id, 1), 0);\n    };\n  }\n}\nmodule.exports = {\n  set: setTask,\n  clear: clearTask\n};\n","var global = require('./_global');\nvar macrotask = require('./_task').set;\nvar Observer = global.MutationObserver || global.WebKitMutationObserver;\nvar process = global.process;\nvar Promise = global.Promise;\nvar isNode = require('./_cof')(process) == 'process';\n\nmodule.exports = function () {\n  var head, last, notify;\n\n  var flush = function () {\n    var parent, fn;\n    if (isNode && (parent = process.domain)) parent.exit();\n    while (head) {\n      fn = head.fn;\n      head = head.next;\n      try {\n        fn();\n      } catch (e) {\n        if (head) notify();\n        else last = undefined;\n        throw e;\n      }\n    } last = undefined;\n    if (parent) parent.enter();\n  };\n\n  // Node.js\n  if (isNode) {\n    notify = function () {\n      process.nextTick(flush);\n    };\n  // browsers with MutationObserver, except iOS Safari - https://github.com/zloirock/core-js/issues/339\n  } else if (Observer && !(global.navigator && global.navigator.standalone)) {\n    var toggle = true;\n    var node = document.createTextNode('');\n    new Observer(flush).observe(node, { characterData: true }); // eslint-disable-line no-new\n    notify = function () {\n      node.data = toggle = !toggle;\n    };\n  // environments with maybe non-completely correct, but existent Promise\n  } else if (Promise && Promise.resolve) {\n    // Promise.resolve without an argument throws an error in LG WebOS 2\n    var promise = Promise.resolve(undefined);\n    notify = function () {\n      promise.then(flush);\n    };\n  // for other environments - macrotask based on:\n  // - setImmediate\n  // - MessageChannel\n  // - window.postMessag\n  // - onreadystatechange\n  // - setTimeout\n  } else {\n    notify = function () {\n      // strange IE + webpack dev server bug - use .call(global)\n      macrotask.call(global, flush);\n    };\n  }\n\n  return function (fn) {\n    var task = { fn: fn, next: undefined };\n    if (last) last.next = task;\n    if (!head) {\n      head = task;\n      notify();\n    } last = task;\n  };\n};\n","'use strict';\n// 25.4.1.5 NewPromiseCapability(C)\nvar aFunction = require('./_a-function');\n\nfunction PromiseCapability(C) {\n  var resolve, reject;\n  this.promise = new C(function ($$resolve, $$reject) {\n    if (resolve !== undefined || reject !== undefined) throw TypeError('Bad Promise constructor');\n    resolve = $$resolve;\n    reject = $$reject;\n  });\n  this.resolve = aFunction(resolve);\n  this.reject = aFunction(reject);\n}\n\nmodule.exports.f = function (C) {\n  return new PromiseCapability(C);\n};\n","module.exports = function (exec) {\n  try {\n    return { e: false, v: exec() };\n  } catch (e) {\n    return { e: true, v: e };\n  }\n};\n","var global = require('./_global');\nvar navigator = global.navigator;\n\nmodule.exports = navigator && navigator.userAgent || '';\n","var anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar newPromiseCapability = require('./_new-promise-capability');\n\nmodule.exports = function (C, x) {\n  anObject(C);\n  if (isObject(x) && x.constructor === C) return x;\n  var promiseCapability = newPromiseCapability.f(C);\n  var resolve = promiseCapability.resolve;\n  resolve(x);\n  return promiseCapability.promise;\n};\n","var redefine = require('./_redefine');\nmodule.exports = function (target, src, safe) {\n  for (var key in src) redefine(target, key, src[key], safe);\n  return target;\n};\n","'use strict';\nvar LIBRARY = require('./_library');\nvar global = require('./_global');\nvar ctx = require('./_ctx');\nvar classof = require('./_classof');\nvar $export = require('./_export');\nvar isObject = require('./_is-object');\nvar aFunction = require('./_a-function');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar speciesConstructor = require('./_species-constructor');\nvar task = require('./_task').set;\nvar microtask = require('./_microtask')();\nvar newPromiseCapabilityModule = require('./_new-promise-capability');\nvar perform = require('./_perform');\nvar userAgent = require('./_user-agent');\nvar promiseResolve = require('./_promise-resolve');\nvar PROMISE = 'Promise';\nvar TypeError = global.TypeError;\nvar process = global.process;\nvar versions = process && process.versions;\nvar v8 = versions && versions.v8 || '';\nvar $Promise = global[PROMISE];\nvar isNode = classof(process) == 'process';\nvar empty = function () { /* empty */ };\nvar Internal, newGenericPromiseCapability, OwnPromiseCapability, Wrapper;\nvar newPromiseCapability = newGenericPromiseCapability = newPromiseCapabilityModule.f;\n\nvar USE_NATIVE = !!function () {\n  try {\n    // correct subclassing with @@species support\n    var promise = $Promise.resolve(1);\n    var FakePromise = (promise.constructor = {})[require('./_wks')('species')] = function (exec) {\n      exec(empty, empty);\n    };\n    // unhandled rejections tracking support, NodeJS Promise without it fails @@species test\n    return (isNode || typeof PromiseRejectionEvent == 'function')\n      && promise.then(empty) instanceof FakePromise\n      // v8 6.6 (Node 10 and Chrome 66) have a bug with resolving custom thenables\n      // https://bugs.chromium.org/p/chromium/issues/detail?id=830565\n      // we can't detect it synchronously, so just check versions\n      && v8.indexOf('6.6') !== 0\n      && userAgent.indexOf('Chrome/66') === -1;\n  } catch (e) { /* empty */ }\n}();\n\n// helpers\nvar isThenable = function (it) {\n  var then;\n  return isObject(it) && typeof (then = it.then) == 'function' ? then : false;\n};\nvar notify = function (promise, isReject) {\n  if (promise._n) return;\n  promise._n = true;\n  var chain = promise._c;\n  microtask(function () {\n    var value = promise._v;\n    var ok = promise._s == 1;\n    var i = 0;\n    var run = function (reaction) {\n      var handler = ok ? reaction.ok : reaction.fail;\n      var resolve = reaction.resolve;\n      var reject = reaction.reject;\n      var domain = reaction.domain;\n      var result, then, exited;\n      try {\n        if (handler) {\n          if (!ok) {\n            if (promise._h == 2) onHandleUnhandled(promise);\n            promise._h = 1;\n          }\n          if (handler === true) result = value;\n          else {\n            if (domain) domain.enter();\n            result = handler(value); // may throw\n            if (domain) {\n              domain.exit();\n              exited = true;\n            }\n          }\n          if (result === reaction.promise) {\n            reject(TypeError('Promise-chain cycle'));\n          } else if (then = isThenable(result)) {\n            then.call(result, resolve, reject);\n          } else resolve(result);\n        } else reject(value);\n      } catch (e) {\n        if (domain && !exited) domain.exit();\n        reject(e);\n      }\n    };\n    while (chain.length > i) run(chain[i++]); // variable length - can't use forEach\n    promise._c = [];\n    promise._n = false;\n    if (isReject && !promise._h) onUnhandled(promise);\n  });\n};\nvar onUnhandled = function (promise) {\n  task.call(global, function () {\n    var value = promise._v;\n    var unhandled = isUnhandled(promise);\n    var result, handler, console;\n    if (unhandled) {\n      result = perform(function () {\n        if (isNode) {\n          process.emit('unhandledRejection', value, promise);\n        } else if (handler = global.onunhandledrejection) {\n          handler({ promise: promise, reason: value });\n        } else if ((console = global.console) && console.error) {\n          console.error('Unhandled promise rejection', value);\n        }\n      });\n      // Browsers should not trigger `rejectionHandled` event if it was handled here, NodeJS - should\n      promise._h = isNode || isUnhandled(promise) ? 2 : 1;\n    } promise._a = undefined;\n    if (unhandled && result.e) throw result.v;\n  });\n};\nvar isUnhandled = function (promise) {\n  return promise._h !== 1 && (promise._a || promise._c).length === 0;\n};\nvar onHandleUnhandled = function (promise) {\n  task.call(global, function () {\n    var handler;\n    if (isNode) {\n      process.emit('rejectionHandled', promise);\n    } else if (handler = global.onrejectionhandled) {\n      handler({ promise: promise, reason: promise._v });\n    }\n  });\n};\nvar $reject = function (value) {\n  var promise = this;\n  if (promise._d) return;\n  promise._d = true;\n  promise = promise._w || promise; // unwrap\n  promise._v = value;\n  promise._s = 2;\n  if (!promise._a) promise._a = promise._c.slice();\n  notify(promise, true);\n};\nvar $resolve = function (value) {\n  var promise = this;\n  var then;\n  if (promise._d) return;\n  promise._d = true;\n  promise = promise._w || promise; // unwrap\n  try {\n    if (promise === value) throw TypeError(\"Promise can't be resolved itself\");\n    if (then = isThenable(value)) {\n      microtask(function () {\n        var wrapper = { _w: promise, _d: false }; // wrap\n        try {\n          then.call(value, ctx($resolve, wrapper, 1), ctx($reject, wrapper, 1));\n        } catch (e) {\n          $reject.call(wrapper, e);\n        }\n      });\n    } else {\n      promise._v = value;\n      promise._s = 1;\n      notify(promise, false);\n    }\n  } catch (e) {\n    $reject.call({ _w: promise, _d: false }, e); // wrap\n  }\n};\n\n// constructor polyfill\nif (!USE_NATIVE) {\n  // 25.4.3.1 Promise(executor)\n  $Promise = function Promise(executor) {\n    anInstance(this, $Promise, PROMISE, '_h');\n    aFunction(executor);\n    Internal.call(this);\n    try {\n      executor(ctx($resolve, this, 1), ctx($reject, this, 1));\n    } catch (err) {\n      $reject.call(this, err);\n    }\n  };\n  // eslint-disable-next-line no-unused-vars\n  Internal = function Promise(executor) {\n    this._c = [];             // <- awaiting reactions\n    this._a = undefined;      // <- checked in isUnhandled reactions\n    this._s = 0;              // <- state\n    this._d = false;          // <- done\n    this._v = undefined;      // <- value\n    this._h = 0;              // <- rejection state, 0 - default, 1 - handled, 2 - unhandled\n    this._n = false;          // <- notify\n  };\n  Internal.prototype = require('./_redefine-all')($Promise.prototype, {\n    // 25.4.5.3 Promise.prototype.then(onFulfilled, onRejected)\n    then: function then(onFulfilled, onRejected) {\n      var reaction = newPromiseCapability(speciesConstructor(this, $Promise));\n      reaction.ok = typeof onFulfilled == 'function' ? onFulfilled : true;\n      reaction.fail = typeof onRejected == 'function' && onRejected;\n      reaction.domain = isNode ? process.domain : undefined;\n      this._c.push(reaction);\n      if (this._a) this._a.push(reaction);\n      if (this._s) notify(this, false);\n      return reaction.promise;\n    },\n    // 25.4.5.1 Promise.prototype.catch(onRejected)\n    'catch': function (onRejected) {\n      return this.then(undefined, onRejected);\n    }\n  });\n  OwnPromiseCapability = function () {\n    var promise = new Internal();\n    this.promise = promise;\n    this.resolve = ctx($resolve, promise, 1);\n    this.reject = ctx($reject, promise, 1);\n  };\n  newPromiseCapabilityModule.f = newPromiseCapability = function (C) {\n    return C === $Promise || C === Wrapper\n      ? new OwnPromiseCapability(C)\n      : newGenericPromiseCapability(C);\n  };\n}\n\n$export($export.G + $export.W + $export.F * !USE_NATIVE, { Promise: $Promise });\nrequire('./_set-to-string-tag')($Promise, PROMISE);\nrequire('./_set-species')(PROMISE);\nWrapper = require('./_core')[PROMISE];\n\n// statics\n$export($export.S + $export.F * !USE_NATIVE, PROMISE, {\n  // 25.4.4.5 Promise.reject(r)\n  reject: function reject(r) {\n    var capability = newPromiseCapability(this);\n    var $$reject = capability.reject;\n    $$reject(r);\n    return capability.promise;\n  }\n});\n$export($export.S + $export.F * (LIBRARY || !USE_NATIVE), PROMISE, {\n  // 25.4.4.6 Promise.resolve(x)\n  resolve: function resolve(x) {\n    return promiseResolve(LIBRARY && this === Wrapper ? $Promise : this, x);\n  }\n});\n$export($export.S + $export.F * !(USE_NATIVE && require('./_iter-detect')(function (iter) {\n  $Promise.all(iter)['catch'](empty);\n})), PROMISE, {\n  // 25.4.4.1 Promise.all(iterable)\n  all: function all(iterable) {\n    var C = this;\n    var capability = newPromiseCapability(C);\n    var resolve = capability.resolve;\n    var reject = capability.reject;\n    var result = perform(function () {\n      var values = [];\n      var index = 0;\n      var remaining = 1;\n      forOf(iterable, false, function (promise) {\n        var $index = index++;\n        var alreadyCalled = false;\n        values.push(undefined);\n        remaining++;\n        C.resolve(promise).then(function (value) {\n          if (alreadyCalled) return;\n          alreadyCalled = true;\n          values[$index] = value;\n          --remaining || resolve(values);\n        }, reject);\n      });\n      --remaining || resolve(values);\n    });\n    if (result.e) reject(result.v);\n    return capability.promise;\n  },\n  // 25.4.4.4 Promise.race(iterable)\n  race: function race(iterable) {\n    var C = this;\n    var capability = newPromiseCapability(C);\n    var reject = capability.reject;\n    var result = perform(function () {\n      forOf(iterable, false, function (promise) {\n        C.resolve(promise).then(capability.resolve, reject);\n      });\n    });\n    if (result.e) reject(result.v);\n    return capability.promise;\n  }\n});\n","var isObject = require('./_is-object');\nmodule.exports = function (it, TYPE) {\n  if (!isObject(it) || it._t !== TYPE) throw TypeError('Incompatible receiver, ' + TYPE + ' required!');\n  return it;\n};\n","'use strict';\nvar dP = require('./_object-dp').f;\nvar create = require('./_object-create');\nvar redefineAll = require('./_redefine-all');\nvar ctx = require('./_ctx');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar $iterDefine = require('./_iter-define');\nvar step = require('./_iter-step');\nvar setSpecies = require('./_set-species');\nvar DESCRIPTORS = require('./_descriptors');\nvar fastKey = require('./_meta').fastKey;\nvar validate = require('./_validate-collection');\nvar SIZE = DESCRIPTORS ? '_s' : 'size';\n\nvar getEntry = function (that, key) {\n  // fast case\n  var index = fastKey(key);\n  var entry;\n  if (index !== 'F') return that._i[index];\n  // frozen object case\n  for (entry = that._f; entry; entry = entry.n) {\n    if (entry.k == key) return entry;\n  }\n};\n\nmodule.exports = {\n  getConstructor: function (wrapper, NAME, IS_MAP, ADDER) {\n    var C = wrapper(function (that, iterable) {\n      anInstance(that, C, NAME, '_i');\n      that._t = NAME;         // collection type\n      that._i = create(null); // index\n      that._f = undefined;    // first entry\n      that._l = undefined;    // last entry\n      that[SIZE] = 0;         // size\n      if (iterable != undefined) forOf(iterable, IS_MAP, that[ADDER], that);\n    });\n    redefineAll(C.prototype, {\n      // 23.1.3.1 Map.prototype.clear()\n      // 23.2.3.2 Set.prototype.clear()\n      clear: function clear() {\n        for (var that = validate(this, NAME), data = that._i, entry = that._f; entry; entry = entry.n) {\n          entry.r = true;\n          if (entry.p) entry.p = entry.p.n = undefined;\n          delete data[entry.i];\n        }\n        that._f = that._l = undefined;\n        that[SIZE] = 0;\n      },\n      // 23.1.3.3 Map.prototype.delete(key)\n      // 23.2.3.4 Set.prototype.delete(value)\n      'delete': function (key) {\n        var that = validate(this, NAME);\n        var entry = getEntry(that, key);\n        if (entry) {\n          var next = entry.n;\n          var prev = entry.p;\n          delete that._i[entry.i];\n          entry.r = true;\n          if (prev) prev.n = next;\n          if (next) next.p = prev;\n          if (that._f == entry) that._f = next;\n          if (that._l == entry) that._l = prev;\n          that[SIZE]--;\n        } return !!entry;\n      },\n      // 23.2.3.6 Set.prototype.forEach(callbackfn, thisArg = undefined)\n      // 23.1.3.5 Map.prototype.forEach(callbackfn, thisArg = undefined)\n      forEach: function forEach(callbackfn /* , that = undefined */) {\n        validate(this, NAME);\n        var f = ctx(callbackfn, arguments.length > 1 ? arguments[1] : undefined, 3);\n        var entry;\n        while (entry = entry ? entry.n : this._f) {\n          f(entry.v, entry.k, this);\n          // revert to the last existing entry\n          while (entry && entry.r) entry = entry.p;\n        }\n      },\n      // 23.1.3.7 Map.prototype.has(key)\n      // 23.2.3.7 Set.prototype.has(value)\n      has: function has(key) {\n        return !!getEntry(validate(this, NAME), key);\n      }\n    });\n    if (DESCRIPTORS) dP(C.prototype, 'size', {\n      get: function () {\n        return validate(this, NAME)[SIZE];\n      }\n    });\n    return C;\n  },\n  def: function (that, key, value) {\n    var entry = getEntry(that, key);\n    var prev, index;\n    // change existing entry\n    if (entry) {\n      entry.v = value;\n    // create new entry\n    } else {\n      that._l = entry = {\n        i: index = fastKey(key, true), // <- index\n        k: key,                        // <- key\n        v: value,                      // <- value\n        p: prev = that._l,             // <- previous entry\n        n: undefined,                  // <- next entry\n        r: false                       // <- removed\n      };\n      if (!that._f) that._f = entry;\n      if (prev) prev.n = entry;\n      that[SIZE]++;\n      // add to index\n      if (index !== 'F') that._i[index] = entry;\n    } return that;\n  },\n  getEntry: getEntry,\n  setStrong: function (C, NAME, IS_MAP) {\n    // add .keys, .values, .entries, [@@iterator]\n    // 23.1.3.4, 23.1.3.8, 23.1.3.11, 23.1.3.12, 23.2.3.5, 23.2.3.8, 23.2.3.10, 23.2.3.11\n    $iterDefine(C, NAME, function (iterated, kind) {\n      this._t = validate(iterated, NAME); // target\n      this._k = kind;                     // kind\n      this._l = undefined;                // previous\n    }, function () {\n      var that = this;\n      var kind = that._k;\n      var entry = that._l;\n      // revert to the last existing entry\n      while (entry && entry.r) entry = entry.p;\n      // get next entry\n      if (!that._t || !(that._l = entry = entry ? entry.n : that._t._f)) {\n        // or finish the iteration\n        that._t = undefined;\n        return step(1);\n      }\n      // return step by kind\n      if (kind == 'keys') return step(0, entry.k);\n      if (kind == 'values') return step(0, entry.v);\n      return step(0, [entry.k, entry.v]);\n    }, IS_MAP ? 'entries' : 'values', !IS_MAP, true);\n\n    // add [@@species], 23.1.2.2, 23.2.2.2\n    setSpecies(NAME);\n  }\n};\n","'use strict';\nvar global = require('./_global');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar redefineAll = require('./_redefine-all');\nvar meta = require('./_meta');\nvar forOf = require('./_for-of');\nvar anInstance = require('./_an-instance');\nvar isObject = require('./_is-object');\nvar fails = require('./_fails');\nvar $iterDetect = require('./_iter-detect');\nvar setToStringTag = require('./_set-to-string-tag');\nvar inheritIfRequired = require('./_inherit-if-required');\n\nmodule.exports = function (NAME, wrapper, methods, common, IS_MAP, IS_WEAK) {\n  var Base = global[NAME];\n  var C = Base;\n  var ADDER = IS_MAP ? 'set' : 'add';\n  var proto = C && C.prototype;\n  var O = {};\n  var fixMethod = function (KEY) {\n    var fn = proto[KEY];\n    redefine(proto, KEY,\n      KEY == 'delete' ? function (a) {\n        return IS_WEAK && !isObject(a) ? false : fn.call(this, a === 0 ? 0 : a);\n      } : KEY == 'has' ? function has(a) {\n        return IS_WEAK && !isObject(a) ? false : fn.call(this, a === 0 ? 0 : a);\n      } : KEY == 'get' ? function get(a) {\n        return IS_WEAK && !isObject(a) ? undefined : fn.call(this, a === 0 ? 0 : a);\n      } : KEY == 'add' ? function add(a) { fn.call(this, a === 0 ? 0 : a); return this; }\n        : function set(a, b) { fn.call(this, a === 0 ? 0 : a, b); return this; }\n    );\n  };\n  if (typeof C != 'function' || !(IS_WEAK || proto.forEach && !fails(function () {\n    new C().entries().next();\n  }))) {\n    // create collection constructor\n    C = common.getConstructor(wrapper, NAME, IS_MAP, ADDER);\n    redefineAll(C.prototype, methods);\n    meta.NEED = true;\n  } else {\n    var instance = new C();\n    // early implementations not supports chaining\n    var HASNT_CHAINING = instance[ADDER](IS_WEAK ? {} : -0, 1) != instance;\n    // V8 ~  Chromium 40- weak-collections throws on primitives, but should return false\n    var THROWS_ON_PRIMITIVES = fails(function () { instance.has(1); });\n    // most early implementations doesn't supports iterables, most modern - not close it correctly\n    var ACCEPT_ITERABLES = $iterDetect(function (iter) { new C(iter); }); // eslint-disable-line no-new\n    // for early implementations -0 and +0 not the same\n    var BUGGY_ZERO = !IS_WEAK && fails(function () {\n      // V8 ~ Chromium 42- fails only with 5+ elements\n      var $instance = new C();\n      var index = 5;\n      while (index--) $instance[ADDER](index, index);\n      return !$instance.has(-0);\n    });\n    if (!ACCEPT_ITERABLES) {\n      C = wrapper(function (target, iterable) {\n        anInstance(target, C, NAME);\n        var that = inheritIfRequired(new Base(), target, C);\n        if (iterable != undefined) forOf(iterable, IS_MAP, that[ADDER], that);\n        return that;\n      });\n      C.prototype = proto;\n      proto.constructor = C;\n    }\n    if (THROWS_ON_PRIMITIVES || BUGGY_ZERO) {\n      fixMethod('delete');\n      fixMethod('has');\n      IS_MAP && fixMethod('get');\n    }\n    if (BUGGY_ZERO || HASNT_CHAINING) fixMethod(ADDER);\n    // weak collections should not contains .clear method\n    if (IS_WEAK && proto.clear) delete proto.clear;\n  }\n\n  setToStringTag(C, NAME);\n\n  O[NAME] = C;\n  $export($export.G + $export.W + $export.F * (C != Base), O);\n\n  if (!IS_WEAK) common.setStrong(C, NAME, IS_MAP);\n\n  return C;\n};\n","'use strict';\nvar strong = require('./_collection-strong');\nvar validate = require('./_validate-collection');\nvar MAP = 'Map';\n\n// 23.1 Map Objects\nmodule.exports = require('./_collection')(MAP, function (get) {\n  return function Map() { return get(this, arguments.length > 0 ? arguments[0] : undefined); };\n}, {\n  // 23.1.3.6 Map.prototype.get(key)\n  get: function get(key) {\n    var entry = strong.getEntry(validate(this, MAP), key);\n    return entry && entry.v;\n  },\n  // 23.1.3.9 Map.prototype.set(key, value)\n  set: function set(key, value) {\n    return strong.def(validate(this, MAP), key === 0 ? 0 : key, value);\n  }\n}, strong, true);\n","'use strict';\nvar strong = require('./_collection-strong');\nvar validate = require('./_validate-collection');\nvar SET = 'Set';\n\n// 23.2 Set Objects\nmodule.exports = require('./_collection')(SET, function (get) {\n  return function Set() { return get(this, arguments.length > 0 ? arguments[0] : undefined); };\n}, {\n  // 23.2.3.1 Set.prototype.add(value)\n  add: function add(value) {\n    return strong.def(validate(this, SET), value = value === 0 ? 0 : value, value);\n  }\n}, strong);\n","'use strict';\nvar redefineAll = require('./_redefine-all');\nvar getWeak = require('./_meta').getWeak;\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar createArrayMethod = require('./_array-methods');\nvar $has = require('./_has');\nvar validate = require('./_validate-collection');\nvar arrayFind = createArrayMethod(5);\nvar arrayFindIndex = createArrayMethod(6);\nvar id = 0;\n\n// fallback for uncaught frozen keys\nvar uncaughtFrozenStore = function (that) {\n  return that._l || (that._l = new UncaughtFrozenStore());\n};\nvar UncaughtFrozenStore = function () {\n  this.a = [];\n};\nvar findUncaughtFrozen = function (store, key) {\n  return arrayFind(store.a, function (it) {\n    return it[0] === key;\n  });\n};\nUncaughtFrozenStore.prototype = {\n  get: function (key) {\n    var entry = findUncaughtFrozen(this, key);\n    if (entry) return entry[1];\n  },\n  has: function (key) {\n    return !!findUncaughtFrozen(this, key);\n  },\n  set: function (key, value) {\n    var entry = findUncaughtFrozen(this, key);\n    if (entry) entry[1] = value;\n    else this.a.push([key, value]);\n  },\n  'delete': function (key) {\n    var index = arrayFindIndex(this.a, function (it) {\n      return it[0] === key;\n    });\n    if (~index) this.a.splice(index, 1);\n    return !!~index;\n  }\n};\n\nmodule.exports = {\n  getConstructor: function (wrapper, NAME, IS_MAP, ADDER) {\n    var C = wrapper(function (that, iterable) {\n      anInstance(that, C, NAME, '_i');\n      that._t = NAME;      // collection type\n      that._i = id++;      // collection id\n      that._l = undefined; // leak store for uncaught frozen objects\n      if (iterable != undefined) forOf(iterable, IS_MAP, that[ADDER], that);\n    });\n    redefineAll(C.prototype, {\n      // 23.3.3.2 WeakMap.prototype.delete(key)\n      // 23.4.3.3 WeakSet.prototype.delete(value)\n      'delete': function (key) {\n        if (!isObject(key)) return false;\n        var data = getWeak(key);\n        if (data === true) return uncaughtFrozenStore(validate(this, NAME))['delete'](key);\n        return data && $has(data, this._i) && delete data[this._i];\n      },\n      // 23.3.3.4 WeakMap.prototype.has(key)\n      // 23.4.3.4 WeakSet.prototype.has(value)\n      has: function has(key) {\n        if (!isObject(key)) return false;\n        var data = getWeak(key);\n        if (data === true) return uncaughtFrozenStore(validate(this, NAME)).has(key);\n        return data && $has(data, this._i);\n      }\n    });\n    return C;\n  },\n  def: function (that, key, value) {\n    var data = getWeak(anObject(key), true);\n    if (data === true) uncaughtFrozenStore(that).set(key, value);\n    else data[that._i] = value;\n    return that;\n  },\n  ufstore: uncaughtFrozenStore\n};\n","'use strict';\nvar global = require('./_global');\nvar each = require('./_array-methods')(0);\nvar redefine = require('./_redefine');\nvar meta = require('./_meta');\nvar assign = require('./_object-assign');\nvar weak = require('./_collection-weak');\nvar isObject = require('./_is-object');\nvar validate = require('./_validate-collection');\nvar NATIVE_WEAK_MAP = require('./_validate-collection');\nvar IS_IE11 = !global.ActiveXObject && 'ActiveXObject' in global;\nvar WEAK_MAP = 'WeakMap';\nvar getWeak = meta.getWeak;\nvar isExtensible = Object.isExtensible;\nvar uncaughtFrozenStore = weak.ufstore;\nvar InternalMap;\n\nvar wrapper = function (get) {\n  return function WeakMap() {\n    return get(this, arguments.length > 0 ? arguments[0] : undefined);\n  };\n};\n\nvar methods = {\n  // 23.3.3.3 WeakMap.prototype.get(key)\n  get: function get(key) {\n    if (isObject(key)) {\n      var data = getWeak(key);\n      if (data === true) return uncaughtFrozenStore(validate(this, WEAK_MAP)).get(key);\n      return data ? data[this._i] : undefined;\n    }\n  },\n  // 23.3.3.5 WeakMap.prototype.set(key, value)\n  set: function set(key, value) {\n    return weak.def(validate(this, WEAK_MAP), key, value);\n  }\n};\n\n// 23.3 WeakMap Objects\nvar $WeakMap = module.exports = require('./_collection')(WEAK_MAP, wrapper, methods, weak, true, true);\n\n// IE11 WeakMap frozen keys fix\nif (NATIVE_WEAK_MAP && IS_IE11) {\n  InternalMap = weak.getConstructor(wrapper, WEAK_MAP);\n  assign(InternalMap.prototype, methods);\n  meta.NEED = true;\n  each(['delete', 'has', 'get', 'set'], function (key) {\n    var proto = $WeakMap.prototype;\n    var method = proto[key];\n    redefine(proto, key, function (a, b) {\n      // store frozen objects on internal weakmap shim\n      if (isObject(a) && !isExtensible(a)) {\n        if (!this._f) this._f = new InternalMap();\n        var result = this._f[key](a, b);\n        return key == 'set' ? this : result;\n      // store all the rest on native weakmap\n      } return method.call(this, a, b);\n    });\n  });\n}\n","'use strict';\nvar weak = require('./_collection-weak');\nvar validate = require('./_validate-collection');\nvar WEAK_SET = 'WeakSet';\n\n// 23.4 WeakSet Objects\nrequire('./_collection')(WEAK_SET, function (get) {\n  return function WeakSet() { return get(this, arguments.length > 0 ? arguments[0] : undefined); };\n}, {\n  // 23.4.3.1 WeakSet.prototype.add(value)\n  add: function add(value) {\n    return weak.def(validate(this, WEAK_SET), value, true);\n  }\n}, weak, false, true);\n","var global = require('./_global');\nvar hide = require('./_hide');\nvar uid = require('./_uid');\nvar TYPED = uid('typed_array');\nvar VIEW = uid('view');\nvar ABV = !!(global.ArrayBuffer && global.DataView);\nvar CONSTR = ABV;\nvar i = 0;\nvar l = 9;\nvar Typed;\n\nvar TypedArrayConstructors = (\n  'Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array'\n).split(',');\n\nwhile (i < l) {\n  if (Typed = global[TypedArrayConstructors[i++]]) {\n    hide(Typed.prototype, TYPED, true);\n    hide(Typed.prototype, VIEW, true);\n  } else CONSTR = false;\n}\n\nmodule.exports = {\n  ABV: ABV,\n  CONSTR: CONSTR,\n  TYPED: TYPED,\n  VIEW: VIEW\n};\n","// https://tc39.github.io/ecma262/#sec-toindex\nvar toInteger = require('./_to-integer');\nvar toLength = require('./_to-length');\nmodule.exports = function (it) {\n  if (it === undefined) return 0;\n  var number = toInteger(it);\n  var length = toLength(number);\n  if (number !== length) throw RangeError('Wrong length!');\n  return length;\n};\n","'use strict';\nvar global = require('./_global');\nvar DESCRIPTORS = require('./_descriptors');\nvar LIBRARY = require('./_library');\nvar $typed = require('./_typed');\nvar hide = require('./_hide');\nvar redefineAll = require('./_redefine-all');\nvar fails = require('./_fails');\nvar anInstance = require('./_an-instance');\nvar toInteger = require('./_to-integer');\nvar toLength = require('./_to-length');\nvar toIndex = require('./_to-index');\nvar gOPN = require('./_object-gopn').f;\nvar dP = require('./_object-dp').f;\nvar arrayFill = require('./_array-fill');\nvar setToStringTag = require('./_set-to-string-tag');\nvar ARRAY_BUFFER = 'ArrayBuffer';\nvar DATA_VIEW = 'DataView';\nvar PROTOTYPE = 'prototype';\nvar WRONG_LENGTH = 'Wrong length!';\nvar WRONG_INDEX = 'Wrong index!';\nvar $ArrayBuffer = global[ARRAY_BUFFER];\nvar $DataView = global[DATA_VIEW];\nvar Math = global.Math;\nvar RangeError = global.RangeError;\n// eslint-disable-next-line no-shadow-restricted-names\nvar Infinity = global.Infinity;\nvar BaseBuffer = $ArrayBuffer;\nvar abs = Math.abs;\nvar pow = Math.pow;\nvar floor = Math.floor;\nvar log = Math.log;\nvar LN2 = Math.LN2;\nvar BUFFER = 'buffer';\nvar BYTE_LENGTH = 'byteLength';\nvar BYTE_OFFSET = 'byteOffset';\nvar $BUFFER = DESCRIPTORS ? '_b' : BUFFER;\nvar $LENGTH = DESCRIPTORS ? '_l' : BYTE_LENGTH;\nvar $OFFSET = DESCRIPTORS ? '_o' : BYTE_OFFSET;\n\n// IEEE754 conversions based on https://github.com/feross/ieee754\nfunction packIEEE754(value, mLen, nBytes) {\n  var buffer = new Array(nBytes);\n  var eLen = nBytes * 8 - mLen - 1;\n  var eMax = (1 << eLen) - 1;\n  var eBias = eMax >> 1;\n  var rt = mLen === 23 ? pow(2, -24) - pow(2, -77) : 0;\n  var i = 0;\n  var s = value < 0 || value === 0 && 1 / value < 0 ? 1 : 0;\n  var e, m, c;\n  value = abs(value);\n  // eslint-disable-next-line no-self-compare\n  if (value != value || value === Infinity) {\n    // eslint-disable-next-line no-self-compare\n    m = value != value ? 1 : 0;\n    e = eMax;\n  } else {\n    e = floor(log(value) / LN2);\n    if (value * (c = pow(2, -e)) < 1) {\n      e--;\n      c *= 2;\n    }\n    if (e + eBias >= 1) {\n      value += rt / c;\n    } else {\n      value += rt * pow(2, 1 - eBias);\n    }\n    if (value * c >= 2) {\n      e++;\n      c /= 2;\n    }\n    if (e + eBias >= eMax) {\n      m = 0;\n      e = eMax;\n    } else if (e + eBias >= 1) {\n      m = (value * c - 1) * pow(2, mLen);\n      e = e + eBias;\n    } else {\n      m = value * pow(2, eBias - 1) * pow(2, mLen);\n      e = 0;\n    }\n  }\n  for (; mLen >= 8; buffer[i++] = m & 255, m /= 256, mLen -= 8);\n  e = e << mLen | m;\n  eLen += mLen;\n  for (; eLen > 0; buffer[i++] = e & 255, e /= 256, eLen -= 8);\n  buffer[--i] |= s * 128;\n  return buffer;\n}\nfunction unpackIEEE754(buffer, mLen, nBytes) {\n  var eLen = nBytes * 8 - mLen - 1;\n  var eMax = (1 << eLen) - 1;\n  var eBias = eMax >> 1;\n  var nBits = eLen - 7;\n  var i = nBytes - 1;\n  var s = buffer[i--];\n  var e = s & 127;\n  var m;\n  s >>= 7;\n  for (; nBits > 0; e = e * 256 + buffer[i], i--, nBits -= 8);\n  m = e & (1 << -nBits) - 1;\n  e >>= -nBits;\n  nBits += mLen;\n  for (; nBits > 0; m = m * 256 + buffer[i], i--, nBits -= 8);\n  if (e === 0) {\n    e = 1 - eBias;\n  } else if (e === eMax) {\n    return m ? NaN : s ? -Infinity : Infinity;\n  } else {\n    m = m + pow(2, mLen);\n    e = e - eBias;\n  } return (s ? -1 : 1) * m * pow(2, e - mLen);\n}\n\nfunction unpackI32(bytes) {\n  return bytes[3] << 24 | bytes[2] << 16 | bytes[1] << 8 | bytes[0];\n}\nfunction packI8(it) {\n  return [it & 0xff];\n}\nfunction packI16(it) {\n  return [it & 0xff, it >> 8 & 0xff];\n}\nfunction packI32(it) {\n  return [it & 0xff, it >> 8 & 0xff, it >> 16 & 0xff, it >> 24 & 0xff];\n}\nfunction packF64(it) {\n  return packIEEE754(it, 52, 8);\n}\nfunction packF32(it) {\n  return packIEEE754(it, 23, 4);\n}\n\nfunction addGetter(C, key, internal) {\n  dP(C[PROTOTYPE], key, { get: function () { return this[internal]; } });\n}\n\nfunction get(view, bytes, index, isLittleEndian) {\n  var numIndex = +index;\n  var intIndex = toIndex(numIndex);\n  if (intIndex + bytes > view[$LENGTH]) throw RangeError(WRONG_INDEX);\n  var store = view[$BUFFER]._b;\n  var start = intIndex + view[$OFFSET];\n  var pack = store.slice(start, start + bytes);\n  return isLittleEndian ? pack : pack.reverse();\n}\nfunction set(view, bytes, index, conversion, value, isLittleEndian) {\n  var numIndex = +index;\n  var intIndex = toIndex(numIndex);\n  if (intIndex + bytes > view[$LENGTH]) throw RangeError(WRONG_INDEX);\n  var store = view[$BUFFER]._b;\n  var start = intIndex + view[$OFFSET];\n  var pack = conversion(+value);\n  for (var i = 0; i < bytes; i++) store[start + i] = pack[isLittleEndian ? i : bytes - i - 1];\n}\n\nif (!$typed.ABV) {\n  $ArrayBuffer = function ArrayBuffer(length) {\n    anInstance(this, $ArrayBuffer, ARRAY_BUFFER);\n    var byteLength = toIndex(length);\n    this._b = arrayFill.call(new Array(byteLength), 0);\n    this[$LENGTH] = byteLength;\n  };\n\n  $DataView = function DataView(buffer, byteOffset, byteLength) {\n    anInstance(this, $DataView, DATA_VIEW);\n    anInstance(buffer, $ArrayBuffer, DATA_VIEW);\n    var bufferLength = buffer[$LENGTH];\n    var offset = toInteger(byteOffset);\n    if (offset < 0 || offset > bufferLength) throw RangeError('Wrong offset!');\n    byteLength = byteLength === undefined ? bufferLength - offset : toLength(byteLength);\n    if (offset + byteLength > bufferLength) throw RangeError(WRONG_LENGTH);\n    this[$BUFFER] = buffer;\n    this[$OFFSET] = offset;\n    this[$LENGTH] = byteLength;\n  };\n\n  if (DESCRIPTORS) {\n    addGetter($ArrayBuffer, BYTE_LENGTH, '_l');\n    addGetter($DataView, BUFFER, '_b');\n    addGetter($DataView, BYTE_LENGTH, '_l');\n    addGetter($DataView, BYTE_OFFSET, '_o');\n  }\n\n  redefineAll($DataView[PROTOTYPE], {\n    getInt8: function getInt8(byteOffset) {\n      return get(this, 1, byteOffset)[0] << 24 >> 24;\n    },\n    getUint8: function getUint8(byteOffset) {\n      return get(this, 1, byteOffset)[0];\n    },\n    getInt16: function getInt16(byteOffset /* , littleEndian */) {\n      var bytes = get(this, 2, byteOffset, arguments[1]);\n      return (bytes[1] << 8 | bytes[0]) << 16 >> 16;\n    },\n    getUint16: function getUint16(byteOffset /* , littleEndian */) {\n      var bytes = get(this, 2, byteOffset, arguments[1]);\n      return bytes[1] << 8 | bytes[0];\n    },\n    getInt32: function getInt32(byteOffset /* , littleEndian */) {\n      return unpackI32(get(this, 4, byteOffset, arguments[1]));\n    },\n    getUint32: function getUint32(byteOffset /* , littleEndian */) {\n      return unpackI32(get(this, 4, byteOffset, arguments[1])) >>> 0;\n    },\n    getFloat32: function getFloat32(byteOffset /* , littleEndian */) {\n      return unpackIEEE754(get(this, 4, byteOffset, arguments[1]), 23, 4);\n    },\n    getFloat64: function getFloat64(byteOffset /* , littleEndian */) {\n      return unpackIEEE754(get(this, 8, byteOffset, arguments[1]), 52, 8);\n    },\n    setInt8: function setInt8(byteOffset, value) {\n      set(this, 1, byteOffset, packI8, value);\n    },\n    setUint8: function setUint8(byteOffset, value) {\n      set(this, 1, byteOffset, packI8, value);\n    },\n    setInt16: function setInt16(byteOffset, value /* , littleEndian */) {\n      set(this, 2, byteOffset, packI16, value, arguments[2]);\n    },\n    setUint16: function setUint16(byteOffset, value /* , littleEndian */) {\n      set(this, 2, byteOffset, packI16, value, arguments[2]);\n    },\n    setInt32: function setInt32(byteOffset, value /* , littleEndian */) {\n      set(this, 4, byteOffset, packI32, value, arguments[2]);\n    },\n    setUint32: function setUint32(byteOffset, value /* , littleEndian */) {\n      set(this, 4, byteOffset, packI32, value, arguments[2]);\n    },\n    setFloat32: function setFloat32(byteOffset, value /* , littleEndian */) {\n      set(this, 4, byteOffset, packF32, value, arguments[2]);\n    },\n    setFloat64: function setFloat64(byteOffset, value /* , littleEndian */) {\n      set(this, 8, byteOffset, packF64, value, arguments[2]);\n    }\n  });\n} else {\n  if (!fails(function () {\n    $ArrayBuffer(1);\n  }) || !fails(function () {\n    new $ArrayBuffer(-1); // eslint-disable-line no-new\n  }) || fails(function () {\n    new $ArrayBuffer(); // eslint-disable-line no-new\n    new $ArrayBuffer(1.5); // eslint-disable-line no-new\n    new $ArrayBuffer(NaN); // eslint-disable-line no-new\n    return $ArrayBuffer.name != ARRAY_BUFFER;\n  })) {\n    $ArrayBuffer = function ArrayBuffer(length) {\n      anInstance(this, $ArrayBuffer);\n      return new BaseBuffer(toIndex(length));\n    };\n    var ArrayBufferProto = $ArrayBuffer[PROTOTYPE] = BaseBuffer[PROTOTYPE];\n    for (var keys = gOPN(BaseBuffer), j = 0, key; keys.length > j;) {\n      if (!((key = keys[j++]) in $ArrayBuffer)) hide($ArrayBuffer, key, BaseBuffer[key]);\n    }\n    if (!LIBRARY) ArrayBufferProto.constructor = $ArrayBuffer;\n  }\n  // iOS Safari 7.x bug\n  var view = new $DataView(new $ArrayBuffer(2));\n  var $setInt8 = $DataView[PROTOTYPE].setInt8;\n  view.setInt8(0, 2147483648);\n  view.setInt8(1, 2147483649);\n  if (view.getInt8(0) || !view.getInt8(1)) redefineAll($DataView[PROTOTYPE], {\n    setInt8: function setInt8(byteOffset, value) {\n      $setInt8.call(this, byteOffset, value << 24 >> 24);\n    },\n    setUint8: function setUint8(byteOffset, value) {\n      $setInt8.call(this, byteOffset, value << 24 >> 24);\n    }\n  }, true);\n}\nsetToStringTag($ArrayBuffer, ARRAY_BUFFER);\nsetToStringTag($DataView, DATA_VIEW);\nhide($DataView[PROTOTYPE], $typed.VIEW, true);\nexports[ARRAY_BUFFER] = $ArrayBuffer;\nexports[DATA_VIEW] = $DataView;\n","'use strict';\nvar $export = require('./_export');\nvar $typed = require('./_typed');\nvar buffer = require('./_typed-buffer');\nvar anObject = require('./_an-object');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\nvar isObject = require('./_is-object');\nvar ArrayBuffer = require('./_global').ArrayBuffer;\nvar speciesConstructor = require('./_species-constructor');\nvar $ArrayBuffer = buffer.ArrayBuffer;\nvar $DataView = buffer.DataView;\nvar $isView = $typed.ABV && ArrayBuffer.isView;\nvar $slice = $ArrayBuffer.prototype.slice;\nvar VIEW = $typed.VIEW;\nvar ARRAY_BUFFER = 'ArrayBuffer';\n\n$export($export.G + $export.W + $export.F * (ArrayBuffer !== $ArrayBuffer), { ArrayBuffer: $ArrayBuffer });\n\n$export($export.S + $export.F * !$typed.CONSTR, ARRAY_BUFFER, {\n  // 24.1.3.1 ArrayBuffer.isView(arg)\n  isView: function isView(it) {\n    return $isView && $isView(it) || isObject(it) && VIEW in it;\n  }\n});\n\n$export($export.P + $export.U + $export.F * require('./_fails')(function () {\n  return !new $ArrayBuffer(2).slice(1, undefined).byteLength;\n}), ARRAY_BUFFER, {\n  // 24.1.4.3 ArrayBuffer.prototype.slice(start, end)\n  slice: function slice(start, end) {\n    if ($slice !== undefined && end === undefined) return $slice.call(anObject(this), start); // FF fix\n    var len = anObject(this).byteLength;\n    var first = toAbsoluteIndex(start, len);\n    var fin = toAbsoluteIndex(end === undefined ? len : end, len);\n    var result = new (speciesConstructor(this, $ArrayBuffer))(toLength(fin - first));\n    var viewS = new $DataView(this);\n    var viewT = new $DataView(result);\n    var index = 0;\n    while (first < fin) {\n      viewT.setUint8(index++, viewS.getUint8(first++));\n    } return result;\n  }\n});\n\nrequire('./_set-species')(ARRAY_BUFFER);\n","var $export = require('./_export');\n$export($export.G + $export.W + $export.F * !require('./_typed').ABV, {\n  DataView: require('./_typed-buffer').DataView\n});\n","'use strict';\nif (require('./_descriptors')) {\n  var LIBRARY = require('./_library');\n  var global = require('./_global');\n  var fails = require('./_fails');\n  var $export = require('./_export');\n  var $typed = require('./_typed');\n  var $buffer = require('./_typed-buffer');\n  var ctx = require('./_ctx');\n  var anInstance = require('./_an-instance');\n  var propertyDesc = require('./_property-desc');\n  var hide = require('./_hide');\n  var redefineAll = require('./_redefine-all');\n  var toInteger = require('./_to-integer');\n  var toLength = require('./_to-length');\n  var toIndex = require('./_to-index');\n  var toAbsoluteIndex = require('./_to-absolute-index');\n  var toPrimitive = require('./_to-primitive');\n  var has = require('./_has');\n  var classof = require('./_classof');\n  var isObject = require('./_is-object');\n  var toObject = require('./_to-object');\n  var isArrayIter = require('./_is-array-iter');\n  var create = require('./_object-create');\n  var getPrototypeOf = require('./_object-gpo');\n  var gOPN = require('./_object-gopn').f;\n  var getIterFn = require('./core.get-iterator-method');\n  var uid = require('./_uid');\n  var wks = require('./_wks');\n  var createArrayMethod = require('./_array-methods');\n  var createArrayIncludes = require('./_array-includes');\n  var speciesConstructor = require('./_species-constructor');\n  var ArrayIterators = require('./es6.array.iterator');\n  var Iterators = require('./_iterators');\n  var $iterDetect = require('./_iter-detect');\n  var setSpecies = require('./_set-species');\n  var arrayFill = require('./_array-fill');\n  var arrayCopyWithin = require('./_array-copy-within');\n  var $DP = require('./_object-dp');\n  var $GOPD = require('./_object-gopd');\n  var dP = $DP.f;\n  var gOPD = $GOPD.f;\n  var RangeError = global.RangeError;\n  var TypeError = global.TypeError;\n  var Uint8Array = global.Uint8Array;\n  var ARRAY_BUFFER = 'ArrayBuffer';\n  var SHARED_BUFFER = 'Shared' + ARRAY_BUFFER;\n  var BYTES_PER_ELEMENT = 'BYTES_PER_ELEMENT';\n  var PROTOTYPE = 'prototype';\n  var ArrayProto = Array[PROTOTYPE];\n  var $ArrayBuffer = $buffer.ArrayBuffer;\n  var $DataView = $buffer.DataView;\n  var arrayForEach = createArrayMethod(0);\n  var arrayFilter = createArrayMethod(2);\n  var arraySome = createArrayMethod(3);\n  var arrayEvery = createArrayMethod(4);\n  var arrayFind = createArrayMethod(5);\n  var arrayFindIndex = createArrayMethod(6);\n  var arrayIncludes = createArrayIncludes(true);\n  var arrayIndexOf = createArrayIncludes(false);\n  var arrayValues = ArrayIterators.values;\n  var arrayKeys = ArrayIterators.keys;\n  var arrayEntries = ArrayIterators.entries;\n  var arrayLastIndexOf = ArrayProto.lastIndexOf;\n  var arrayReduce = ArrayProto.reduce;\n  var arrayReduceRight = ArrayProto.reduceRight;\n  var arrayJoin = ArrayProto.join;\n  var arraySort = ArrayProto.sort;\n  var arraySlice = ArrayProto.slice;\n  var arrayToString = ArrayProto.toString;\n  var arrayToLocaleString = ArrayProto.toLocaleString;\n  var ITERATOR = wks('iterator');\n  var TAG = wks('toStringTag');\n  var TYPED_CONSTRUCTOR = uid('typed_constructor');\n  var DEF_CONSTRUCTOR = uid('def_constructor');\n  var ALL_CONSTRUCTORS = $typed.CONSTR;\n  var TYPED_ARRAY = $typed.TYPED;\n  var VIEW = $typed.VIEW;\n  var WRONG_LENGTH = 'Wrong length!';\n\n  var $map = createArrayMethod(1, function (O, length) {\n    return allocate(speciesConstructor(O, O[DEF_CONSTRUCTOR]), length);\n  });\n\n  var LITTLE_ENDIAN = fails(function () {\n    // eslint-disable-next-line no-undef\n    return new Uint8Array(new Uint16Array([1]).buffer)[0] === 1;\n  });\n\n  var FORCED_SET = !!Uint8Array && !!Uint8Array[PROTOTYPE].set && fails(function () {\n    new Uint8Array(1).set({});\n  });\n\n  var toOffset = function (it, BYTES) {\n    var offset = toInteger(it);\n    if (offset < 0 || offset % BYTES) throw RangeError('Wrong offset!');\n    return offset;\n  };\n\n  var validate = function (it) {\n    if (isObject(it) && TYPED_ARRAY in it) return it;\n    throw TypeError(it + ' is not a typed array!');\n  };\n\n  var allocate = function (C, length) {\n    if (!(isObject(C) && TYPED_CONSTRUCTOR in C)) {\n      throw TypeError('It is not a typed array constructor!');\n    } return new C(length);\n  };\n\n  var speciesFromList = function (O, list) {\n    return fromList(speciesConstructor(O, O[DEF_CONSTRUCTOR]), list);\n  };\n\n  var fromList = function (C, list) {\n    var index = 0;\n    var length = list.length;\n    var result = allocate(C, length);\n    while (length > index) result[index] = list[index++];\n    return result;\n  };\n\n  var addGetter = function (it, key, internal) {\n    dP(it, key, { get: function () { return this._d[internal]; } });\n  };\n\n  var $from = function from(source /* , mapfn, thisArg */) {\n    var O = toObject(source);\n    var aLen = arguments.length;\n    var mapfn = aLen > 1 ? arguments[1] : undefined;\n    var mapping = mapfn !== undefined;\n    var iterFn = getIterFn(O);\n    var i, length, values, result, step, iterator;\n    if (iterFn != undefined && !isArrayIter(iterFn)) {\n      for (iterator = iterFn.call(O), values = [], i = 0; !(step = iterator.next()).done; i++) {\n        values.push(step.value);\n      } O = values;\n    }\n    if (mapping && aLen > 2) mapfn = ctx(mapfn, arguments[2], 2);\n    for (i = 0, length = toLength(O.length), result = allocate(this, length); length > i; i++) {\n      result[i] = mapping ? mapfn(O[i], i) : O[i];\n    }\n    return result;\n  };\n\n  var $of = function of(/* ...items */) {\n    var index = 0;\n    var length = arguments.length;\n    var result = allocate(this, length);\n    while (length > index) result[index] = arguments[index++];\n    return result;\n  };\n\n  // iOS Safari 6.x fails here\n  var TO_LOCALE_BUG = !!Uint8Array && fails(function () { arrayToLocaleString.call(new Uint8Array(1)); });\n\n  var $toLocaleString = function toLocaleString() {\n    return arrayToLocaleString.apply(TO_LOCALE_BUG ? arraySlice.call(validate(this)) : validate(this), arguments);\n  };\n\n  var proto = {\n    copyWithin: function copyWithin(target, start /* , end */) {\n      return arrayCopyWithin.call(validate(this), target, start, arguments.length > 2 ? arguments[2] : undefined);\n    },\n    every: function every(callbackfn /* , thisArg */) {\n      return arrayEvery(validate(this), callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    fill: function fill(value /* , start, end */) { // eslint-disable-line no-unused-vars\n      return arrayFill.apply(validate(this), arguments);\n    },\n    filter: function filter(callbackfn /* , thisArg */) {\n      return speciesFromList(this, arrayFilter(validate(this), callbackfn,\n        arguments.length > 1 ? arguments[1] : undefined));\n    },\n    find: function find(predicate /* , thisArg */) {\n      return arrayFind(validate(this), predicate, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    findIndex: function findIndex(predicate /* , thisArg */) {\n      return arrayFindIndex(validate(this), predicate, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    forEach: function forEach(callbackfn /* , thisArg */) {\n      arrayForEach(validate(this), callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    indexOf: function indexOf(searchElement /* , fromIndex */) {\n      return arrayIndexOf(validate(this), searchElement, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    includes: function includes(searchElement /* , fromIndex */) {\n      return arrayIncludes(validate(this), searchElement, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    join: function join(separator) { // eslint-disable-line no-unused-vars\n      return arrayJoin.apply(validate(this), arguments);\n    },\n    lastIndexOf: function lastIndexOf(searchElement /* , fromIndex */) { // eslint-disable-line no-unused-vars\n      return arrayLastIndexOf.apply(validate(this), arguments);\n    },\n    map: function map(mapfn /* , thisArg */) {\n      return $map(validate(this), mapfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    reduce: function reduce(callbackfn /* , initialValue */) { // eslint-disable-line no-unused-vars\n      return arrayReduce.apply(validate(this), arguments);\n    },\n    reduceRight: function reduceRight(callbackfn /* , initialValue */) { // eslint-disable-line no-unused-vars\n      return arrayReduceRight.apply(validate(this), arguments);\n    },\n    reverse: function reverse() {\n      var that = this;\n      var length = validate(that).length;\n      var middle = Math.floor(length / 2);\n      var index = 0;\n      var value;\n      while (index < middle) {\n        value = that[index];\n        that[index++] = that[--length];\n        that[length] = value;\n      } return that;\n    },\n    some: function some(callbackfn /* , thisArg */) {\n      return arraySome(validate(this), callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    sort: function sort(comparefn) {\n      return arraySort.call(validate(this), comparefn);\n    },\n    subarray: function subarray(begin, end) {\n      var O = validate(this);\n      var length = O.length;\n      var $begin = toAbsoluteIndex(begin, length);\n      return new (speciesConstructor(O, O[DEF_CONSTRUCTOR]))(\n        O.buffer,\n        O.byteOffset + $begin * O.BYTES_PER_ELEMENT,\n        toLength((end === undefined ? length : toAbsoluteIndex(end, length)) - $begin)\n      );\n    }\n  };\n\n  var $slice = function slice(start, end) {\n    return speciesFromList(this, arraySlice.call(validate(this), start, end));\n  };\n\n  var $set = function set(arrayLike /* , offset */) {\n    validate(this);\n    var offset = toOffset(arguments[1], 1);\n    var length = this.length;\n    var src = toObject(arrayLike);\n    var len = toLength(src.length);\n    var index = 0;\n    if (len + offset > length) throw RangeError(WRONG_LENGTH);\n    while (index < len) this[offset + index] = src[index++];\n  };\n\n  var $iterators = {\n    entries: function entries() {\n      return arrayEntries.call(validate(this));\n    },\n    keys: function keys() {\n      return arrayKeys.call(validate(this));\n    },\n    values: function values() {\n      return arrayValues.call(validate(this));\n    }\n  };\n\n  var isTAIndex = function (target, key) {\n    return isObject(target)\n      && target[TYPED_ARRAY]\n      && typeof key != 'symbol'\n      && key in target\n      && String(+key) == String(key);\n  };\n  var $getDesc = function getOwnPropertyDescriptor(target, key) {\n    return isTAIndex(target, key = toPrimitive(key, true))\n      ? propertyDesc(2, target[key])\n      : gOPD(target, key);\n  };\n  var $setDesc = function defineProperty(target, key, desc) {\n    if (isTAIndex(target, key = toPrimitive(key, true))\n      && isObject(desc)\n      && has(desc, 'value')\n      && !has(desc, 'get')\n      && !has(desc, 'set')\n      // TODO: add validation descriptor w/o calling accessors\n      && !desc.configurable\n      && (!has(desc, 'writable') || desc.writable)\n      && (!has(desc, 'enumerable') || desc.enumerable)\n    ) {\n      target[key] = desc.value;\n      return target;\n    } return dP(target, key, desc);\n  };\n\n  if (!ALL_CONSTRUCTORS) {\n    $GOPD.f = $getDesc;\n    $DP.f = $setDesc;\n  }\n\n  $export($export.S + $export.F * !ALL_CONSTRUCTORS, 'Object', {\n    getOwnPropertyDescriptor: $getDesc,\n    defineProperty: $setDesc\n  });\n\n  if (fails(function () { arrayToString.call({}); })) {\n    arrayToString = arrayToLocaleString = function toString() {\n      return arrayJoin.call(this);\n    };\n  }\n\n  var $TypedArrayPrototype$ = redefineAll({}, proto);\n  redefineAll($TypedArrayPrototype$, $iterators);\n  hide($TypedArrayPrototype$, ITERATOR, $iterators.values);\n  redefineAll($TypedArrayPrototype$, {\n    slice: $slice,\n    set: $set,\n    constructor: function () { /* noop */ },\n    toString: arrayToString,\n    toLocaleString: $toLocaleString\n  });\n  addGetter($TypedArrayPrototype$, 'buffer', 'b');\n  addGetter($TypedArrayPrototype$, 'byteOffset', 'o');\n  addGetter($TypedArrayPrototype$, 'byteLength', 'l');\n  addGetter($TypedArrayPrototype$, 'length', 'e');\n  dP($TypedArrayPrototype$, TAG, {\n    get: function () { return this[TYPED_ARRAY]; }\n  });\n\n  // eslint-disable-next-line max-statements\n  module.exports = function (KEY, BYTES, wrapper, CLAMPED) {\n    CLAMPED = !!CLAMPED;\n    var NAME = KEY + (CLAMPED ? 'Clamped' : '') + 'Array';\n    var GETTER = 'get' + KEY;\n    var SETTER = 'set' + KEY;\n    var TypedArray = global[NAME];\n    var Base = TypedArray || {};\n    var TAC = TypedArray && getPrototypeOf(TypedArray);\n    var FORCED = !TypedArray || !$typed.ABV;\n    var O = {};\n    var TypedArrayPrototype = TypedArray && TypedArray[PROTOTYPE];\n    var getter = function (that, index) {\n      var data = that._d;\n      return data.v[GETTER](index * BYTES + data.o, LITTLE_ENDIAN);\n    };\n    var setter = function (that, index, value) {\n      var data = that._d;\n      if (CLAMPED) value = (value = Math.round(value)) < 0 ? 0 : value > 0xff ? 0xff : value & 0xff;\n      data.v[SETTER](index * BYTES + data.o, value, LITTLE_ENDIAN);\n    };\n    var addElement = function (that, index) {\n      dP(that, index, {\n        get: function () {\n          return getter(this, index);\n        },\n        set: function (value) {\n          return setter(this, index, value);\n        },\n        enumerable: true\n      });\n    };\n    if (FORCED) {\n      TypedArray = wrapper(function (that, data, $offset, $length) {\n        anInstance(that, TypedArray, NAME, '_d');\n        var index = 0;\n        var offset = 0;\n        var buffer, byteLength, length, klass;\n        if (!isObject(data)) {\n          length = toIndex(data);\n          byteLength = length * BYTES;\n          buffer = new $ArrayBuffer(byteLength);\n        } else if (data instanceof $ArrayBuffer || (klass = classof(data)) == ARRAY_BUFFER || klass == SHARED_BUFFER) {\n          buffer = data;\n          offset = toOffset($offset, BYTES);\n          var $len = data.byteLength;\n          if ($length === undefined) {\n            if ($len % BYTES) throw RangeError(WRONG_LENGTH);\n            byteLength = $len - offset;\n            if (byteLength < 0) throw RangeError(WRONG_LENGTH);\n          } else {\n            byteLength = toLength($length) * BYTES;\n            if (byteLength + offset > $len) throw RangeError(WRONG_LENGTH);\n          }\n          length = byteLength / BYTES;\n        } else if (TYPED_ARRAY in data) {\n          return fromList(TypedArray, data);\n        } else {\n          return $from.call(TypedArray, data);\n        }\n        hide(that, '_d', {\n          b: buffer,\n          o: offset,\n          l: byteLength,\n          e: length,\n          v: new $DataView(buffer)\n        });\n        while (index < length) addElement(that, index++);\n      });\n      TypedArrayPrototype = TypedArray[PROTOTYPE] = create($TypedArrayPrototype$);\n      hide(TypedArrayPrototype, 'constructor', TypedArray);\n    } else if (!fails(function () {\n      TypedArray(1);\n    }) || !fails(function () {\n      new TypedArray(-1); // eslint-disable-line no-new\n    }) || !$iterDetect(function (iter) {\n      new TypedArray(); // eslint-disable-line no-new\n      new TypedArray(null); // eslint-disable-line no-new\n      new TypedArray(1.5); // eslint-disable-line no-new\n      new TypedArray(iter); // eslint-disable-line no-new\n    }, true)) {\n      TypedArray = wrapper(function (that, data, $offset, $length) {\n        anInstance(that, TypedArray, NAME);\n        var klass;\n        // `ws` module bug, temporarily remove validation length for Uint8Array\n        // https://github.com/websockets/ws/pull/645\n        if (!isObject(data)) return new Base(toIndex(data));\n        if (data instanceof $ArrayBuffer || (klass = classof(data)) == ARRAY_BUFFER || klass == SHARED_BUFFER) {\n          return $length !== undefined\n            ? new Base(data, toOffset($offset, BYTES), $length)\n            : $offset !== undefined\n              ? new Base(data, toOffset($offset, BYTES))\n              : new Base(data);\n        }\n        if (TYPED_ARRAY in data) return fromList(TypedArray, data);\n        return $from.call(TypedArray, data);\n      });\n      arrayForEach(TAC !== Function.prototype ? gOPN(Base).concat(gOPN(TAC)) : gOPN(Base), function (key) {\n        if (!(key in TypedArray)) hide(TypedArray, key, Base[key]);\n      });\n      TypedArray[PROTOTYPE] = TypedArrayPrototype;\n      if (!LIBRARY) TypedArrayPrototype.constructor = TypedArray;\n    }\n    var $nativeIterator = TypedArrayPrototype[ITERATOR];\n    var CORRECT_ITER_NAME = !!$nativeIterator\n      && ($nativeIterator.name == 'values' || $nativeIterator.name == undefined);\n    var $iterator = $iterators.values;\n    hide(TypedArray, TYPED_CONSTRUCTOR, true);\n    hide(TypedArrayPrototype, TYPED_ARRAY, NAME);\n    hide(TypedArrayPrototype, VIEW, true);\n    hide(TypedArrayPrototype, DEF_CONSTRUCTOR, TypedArray);\n\n    if (CLAMPED ? new TypedArray(1)[TAG] != NAME : !(TAG in TypedArrayPrototype)) {\n      dP(TypedArrayPrototype, TAG, {\n        get: function () { return NAME; }\n      });\n    }\n\n    O[NAME] = TypedArray;\n\n    $export($export.G + $export.W + $export.F * (TypedArray != Base), O);\n\n    $export($export.S, NAME, {\n      BYTES_PER_ELEMENT: BYTES\n    });\n\n    $export($export.S + $export.F * fails(function () { Base.of.call(TypedArray, 1); }), NAME, {\n      from: $from,\n      of: $of\n    });\n\n    if (!(BYTES_PER_ELEMENT in TypedArrayPrototype)) hide(TypedArrayPrototype, BYTES_PER_ELEMENT, BYTES);\n\n    $export($export.P, NAME, proto);\n\n    setSpecies(NAME);\n\n    $export($export.P + $export.F * FORCED_SET, NAME, { set: $set });\n\n    $export($export.P + $export.F * !CORRECT_ITER_NAME, NAME, $iterators);\n\n    if (!LIBRARY && TypedArrayPrototype.toString != arrayToString) TypedArrayPrototype.toString = arrayToString;\n\n    $export($export.P + $export.F * fails(function () {\n      new TypedArray(1).slice();\n    }), NAME, { slice: $slice });\n\n    $export($export.P + $export.F * (fails(function () {\n      return [1, 2].toLocaleString() != new TypedArray([1, 2]).toLocaleString();\n    }) || !fails(function () {\n      TypedArrayPrototype.toLocaleString.call([1, 2]);\n    })), NAME, { toLocaleString: $toLocaleString });\n\n    Iterators[NAME] = CORRECT_ITER_NAME ? $nativeIterator : $iterator;\n    if (!LIBRARY && !CORRECT_ITER_NAME) hide(TypedArrayPrototype, ITERATOR, $iterator);\n  };\n} else module.exports = function () { /* empty */ };\n","require('./_typed-array')('Int8', 1, function (init) {\n  return function Int8Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Uint8', 1, function (init) {\n  return function Uint8Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Uint8', 1, function (init) {\n  return function Uint8ClampedArray(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n}, true);\n","require('./_typed-array')('Int16', 2, function (init) {\n  return function Int16Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Uint16', 2, function (init) {\n  return function Uint16Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Int32', 4, function (init) {\n  return function Int32Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Uint32', 4, function (init) {\n  return function Uint32Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Float32', 4, function (init) {\n  return function Float32Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Float64', 8, function (init) {\n  return function Float64Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","// 26.1.1 Reflect.apply(target, thisArgument, argumentsList)\nvar $export = require('./_export');\nvar aFunction = require('./_a-function');\nvar anObject = require('./_an-object');\nvar rApply = (require('./_global').Reflect || {}).apply;\nvar fApply = Function.apply;\n// MS Edge argumentsList argument is optional\n$export($export.S + $export.F * !require('./_fails')(function () {\n  rApply(function () { /* empty */ });\n}), 'Reflect', {\n  apply: function apply(target, thisArgument, argumentsList) {\n    var T = aFunction(target);\n    var L = anObject(argumentsList);\n    return rApply ? rApply(T, thisArgument, L) : fApply.call(T, thisArgument, L);\n  }\n});\n","// 26.1.2 Reflect.construct(target, argumentsList [, newTarget])\nvar $export = require('./_export');\nvar create = require('./_object-create');\nvar aFunction = require('./_a-function');\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar fails = require('./_fails');\nvar bind = require('./_bind');\nvar rConstruct = (require('./_global').Reflect || {}).construct;\n\n// MS Edge supports only 2 arguments and argumentsList argument is optional\n// FF Nightly sets third argument as `new.target`, but does not create `this` from it\nvar NEW_TARGET_BUG = fails(function () {\n  function F() { /* empty */ }\n  return !(rConstruct(function () { /* empty */ }, [], F) instanceof F);\n});\nvar ARGS_BUG = !fails(function () {\n  rConstruct(function () { /* empty */ });\n});\n\n$export($export.S + $export.F * (NEW_TARGET_BUG || ARGS_BUG), 'Reflect', {\n  construct: function construct(Target, args /* , newTarget */) {\n    aFunction(Target);\n    anObject(args);\n    var newTarget = arguments.length < 3 ? Target : aFunction(arguments[2]);\n    if (ARGS_BUG && !NEW_TARGET_BUG) return rConstruct(Target, args, newTarget);\n    if (Target == newTarget) {\n      // w/o altered newTarget, optimization for 0-4 arguments\n      switch (args.length) {\n        case 0: return new Target();\n        case 1: return new Target(args[0]);\n        case 2: return new Target(args[0], args[1]);\n        case 3: return new Target(args[0], args[1], args[2]);\n        case 4: return new Target(args[0], args[1], args[2], args[3]);\n      }\n      // w/o altered newTarget, lot of arguments case\n      var $args = [null];\n      $args.push.apply($args, args);\n      return new (bind.apply(Target, $args))();\n    }\n    // with altered newTarget, not support built-in constructors\n    var proto = newTarget.prototype;\n    var instance = create(isObject(proto) ? proto : Object.prototype);\n    var result = Function.apply.call(Target, instance, args);\n    return isObject(result) ? result : instance;\n  }\n});\n","// 26.1.3 Reflect.defineProperty(target, propertyKey, attributes)\nvar dP = require('./_object-dp');\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar toPrimitive = require('./_to-primitive');\n\n// MS Edge has broken Reflect.defineProperty - throwing instead of returning false\n$export($export.S + $export.F * require('./_fails')(function () {\n  // eslint-disable-next-line no-undef\n  Reflect.defineProperty(dP.f({}, 1, { value: 1 }), 1, { value: 2 });\n}), 'Reflect', {\n  defineProperty: function defineProperty(target, propertyKey, attributes) {\n    anObject(target);\n    propertyKey = toPrimitive(propertyKey, true);\n    anObject(attributes);\n    try {\n      dP.f(target, propertyKey, attributes);\n      return true;\n    } catch (e) {\n      return false;\n    }\n  }\n});\n","// 26.1.4 Reflect.deleteProperty(target, propertyKey)\nvar $export = require('./_export');\nvar gOPD = require('./_object-gopd').f;\nvar anObject = require('./_an-object');\n\n$export($export.S, 'Reflect', {\n  deleteProperty: function deleteProperty(target, propertyKey) {\n    var desc = gOPD(anObject(target), propertyKey);\n    return desc && !desc.configurable ? false : delete target[propertyKey];\n  }\n});\n","'use strict';\n// 26.1.5 Reflect.enumerate(target)\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar Enumerate = function (iterated) {\n  this._t = anObject(iterated); // target\n  this._i = 0;                  // next index\n  var keys = this._k = [];      // keys\n  var key;\n  for (key in iterated) keys.push(key);\n};\nrequire('./_iter-create')(Enumerate, 'Object', function () {\n  var that = this;\n  var keys = that._k;\n  var key;\n  do {\n    if (that._i >= keys.length) return { value: undefined, done: true };\n  } while (!((key = keys[that._i++]) in that._t));\n  return { value: key, done: false };\n});\n\n$export($export.S, 'Reflect', {\n  enumerate: function enumerate(target) {\n    return new Enumerate(target);\n  }\n});\n","// 26.1.6 Reflect.get(target, propertyKey [, receiver])\nvar gOPD = require('./_object-gopd');\nvar getPrototypeOf = require('./_object-gpo');\nvar has = require('./_has');\nvar $export = require('./_export');\nvar isObject = require('./_is-object');\nvar anObject = require('./_an-object');\n\nfunction get(target, propertyKey /* , receiver */) {\n  var receiver = arguments.length < 3 ? target : arguments[2];\n  var desc, proto;\n  if (anObject(target) === receiver) return target[propertyKey];\n  if (desc = gOPD.f(target, propertyKey)) return has(desc, 'value')\n    ? desc.value\n    : desc.get !== undefined\n      ? desc.get.call(receiver)\n      : undefined;\n  if (isObject(proto = getPrototypeOf(target))) return get(proto, propertyKey, receiver);\n}\n\n$export($export.S, 'Reflect', { get: get });\n","// 26.1.7 Reflect.getOwnPropertyDescriptor(target, propertyKey)\nvar gOPD = require('./_object-gopd');\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\n\n$export($export.S, 'Reflect', {\n  getOwnPropertyDescriptor: function getOwnPropertyDescriptor(target, propertyKey) {\n    return gOPD.f(anObject(target), propertyKey);\n  }\n});\n","// 26.1.8 Reflect.getPrototypeOf(target)\nvar $export = require('./_export');\nvar getProto = require('./_object-gpo');\nvar anObject = require('./_an-object');\n\n$export($export.S, 'Reflect', {\n  getPrototypeOf: function getPrototypeOf(target) {\n    return getProto(anObject(target));\n  }\n});\n","// 26.1.9 Reflect.has(target, propertyKey)\nvar $export = require('./_export');\n\n$export($export.S, 'Reflect', {\n  has: function has(target, propertyKey) {\n    return propertyKey in target;\n  }\n});\n","// 26.1.10 Reflect.isExtensible(target)\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar $isExtensible = Object.isExtensible;\n\n$export($export.S, 'Reflect', {\n  isExtensible: function isExtensible(target) {\n    anObject(target);\n    return $isExtensible ? $isExtensible(target) : true;\n  }\n});\n","// all object keys, includes non-enumerable and symbols\nvar gOPN = require('./_object-gopn');\nvar gOPS = require('./_object-gops');\nvar anObject = require('./_an-object');\nvar Reflect = require('./_global').Reflect;\nmodule.exports = Reflect && Reflect.ownKeys || function ownKeys(it) {\n  var keys = gOPN.f(anObject(it));\n  var getSymbols = gOPS.f;\n  return getSymbols ? keys.concat(getSymbols(it)) : keys;\n};\n","// 26.1.11 Reflect.ownKeys(target)\nvar $export = require('./_export');\n\n$export($export.S, 'Reflect', { ownKeys: require('./_own-keys') });\n","// 26.1.12 Reflect.preventExtensions(target)\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar $preventExtensions = Object.preventExtensions;\n\n$export($export.S, 'Reflect', {\n  preventExtensions: function preventExtensions(target) {\n    anObject(target);\n    try {\n      if ($preventExtensions) $preventExtensions(target);\n      return true;\n    } catch (e) {\n      return false;\n    }\n  }\n});\n","// 26.1.13 Reflect.set(target, propertyKey, V [, receiver])\nvar dP = require('./_object-dp');\nvar gOPD = require('./_object-gopd');\nvar getPrototypeOf = require('./_object-gpo');\nvar has = require('./_has');\nvar $export = require('./_export');\nvar createDesc = require('./_property-desc');\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\n\nfunction set(target, propertyKey, V /* , receiver */) {\n  var receiver = arguments.length < 4 ? target : arguments[3];\n  var ownDesc = gOPD.f(anObject(target), propertyKey);\n  var existingDescriptor, proto;\n  if (!ownDesc) {\n    if (isObject(proto = getPrototypeOf(target))) {\n      return set(proto, propertyKey, V, receiver);\n    }\n    ownDesc = createDesc(0);\n  }\n  if (has(ownDesc, 'value')) {\n    if (ownDesc.writable === false || !isObject(receiver)) return false;\n    if (existingDescriptor = gOPD.f(receiver, propertyKey)) {\n      if (existingDescriptor.get || existingDescriptor.set || existingDescriptor.writable === false) return false;\n      existingDescriptor.value = V;\n      dP.f(receiver, propertyKey, existingDescriptor);\n    } else dP.f(receiver, propertyKey, createDesc(0, V));\n    return true;\n  }\n  return ownDesc.set === undefined ? false : (ownDesc.set.call(receiver, V), true);\n}\n\n$export($export.S, 'Reflect', { set: set });\n","// 26.1.14 Reflect.setPrototypeOf(target, proto)\nvar $export = require('./_export');\nvar setProto = require('./_set-proto');\n\nif (setProto) $export($export.S, 'Reflect', {\n  setPrototypeOf: function setPrototypeOf(target, proto) {\n    setProto.check(target, proto);\n    try {\n      setProto.set(target, proto);\n      return true;\n    } catch (e) {\n      return false;\n    }\n  }\n});\n","'use strict';\n// https://github.com/tc39/Array.prototype.includes\nvar $export = require('./_export');\nvar $includes = require('./_array-includes')(true);\n\n$export($export.P, 'Array', {\n  includes: function includes(el /* , fromIndex = 0 */) {\n    return $includes(this, el, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\n\nrequire('./_add-to-unscopables')('includes');\n","'use strict';\n// https://tc39.github.io/proposal-flatMap/#sec-FlattenIntoArray\nvar isArray = require('./_is-array');\nvar isObject = require('./_is-object');\nvar toLength = require('./_to-length');\nvar ctx = require('./_ctx');\nvar IS_CONCAT_SPREADABLE = require('./_wks')('isConcatSpreadable');\n\nfunction flattenIntoArray(target, original, source, sourceLen, start, depth, mapper, thisArg) {\n  var targetIndex = start;\n  var sourceIndex = 0;\n  var mapFn = mapper ? ctx(mapper, thisArg, 3) : false;\n  var element, spreadable;\n\n  while (sourceIndex < sourceLen) {\n    if (sourceIndex in source) {\n      element = mapFn ? mapFn(source[sourceIndex], sourceIndex, original) : source[sourceIndex];\n\n      spreadable = false;\n      if (isObject(element)) {\n        spreadable = element[IS_CONCAT_SPREADABLE];\n        spreadable = spreadable !== undefined ? !!spreadable : isArray(element);\n      }\n\n      if (spreadable && depth > 0) {\n        targetIndex = flattenIntoArray(target, original, element, toLength(element.length), targetIndex, depth - 1) - 1;\n      } else {\n        if (targetIndex >= 0x1fffffffffffff) throw TypeError();\n        target[targetIndex] = element;\n      }\n\n      targetIndex++;\n    }\n    sourceIndex++;\n  }\n  return targetIndex;\n}\n\nmodule.exports = flattenIntoArray;\n","'use strict';\n// https://tc39.github.io/proposal-flatMap/#sec-Array.prototype.flatMap\nvar $export = require('./_export');\nvar flattenIntoArray = require('./_flatten-into-array');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar aFunction = require('./_a-function');\nvar arraySpeciesCreate = require('./_array-species-create');\n\n$export($export.P, 'Array', {\n  flatMap: function flatMap(callbackfn /* , thisArg */) {\n    var O = toObject(this);\n    var sourceLen, A;\n    aFunction(callbackfn);\n    sourceLen = toLength(O.length);\n    A = arraySpeciesCreate(O, 0);\n    flattenIntoArray(A, O, O, sourceLen, 0, 1, callbackfn, arguments[1]);\n    return A;\n  }\n});\n\nrequire('./_add-to-unscopables')('flatMap');\n","'use strict';\n// https://tc39.github.io/proposal-flatMap/#sec-Array.prototype.flatten\nvar $export = require('./_export');\nvar flattenIntoArray = require('./_flatten-into-array');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar toInteger = require('./_to-integer');\nvar arraySpeciesCreate = require('./_array-species-create');\n\n$export($export.P, 'Array', {\n  flatten: function flatten(/* depthArg = 1 */) {\n    var depthArg = arguments[0];\n    var O = toObject(this);\n    var sourceLen = toLength(O.length);\n    var A = arraySpeciesCreate(O, 0);\n    flattenIntoArray(A, O, O, sourceLen, 0, depthArg === undefined ? 1 : toInteger(depthArg));\n    return A;\n  }\n});\n\nrequire('./_add-to-unscopables')('flatten');\n","'use strict';\n// https://github.com/mathiasbynens/String.prototype.at\nvar $export = require('./_export');\nvar $at = require('./_string-at')(true);\n\n$export($export.P, 'String', {\n  at: function at(pos) {\n    return $at(this, pos);\n  }\n});\n","// https://github.com/tc39/proposal-string-pad-start-end\nvar toLength = require('./_to-length');\nvar repeat = require('./_string-repeat');\nvar defined = require('./_defined');\n\nmodule.exports = function (that, maxLength, fillString, left) {\n  var S = String(defined(that));\n  var stringLength = S.length;\n  var fillStr = fillString === undefined ? ' ' : String(fillString);\n  var intMaxLength = toLength(maxLength);\n  if (intMaxLength <= stringLength || fillStr == '') return S;\n  var fillLen = intMaxLength - stringLength;\n  var stringFiller = repeat.call(fillStr, Math.ceil(fillLen / fillStr.length));\n  if (stringFiller.length > fillLen) stringFiller = stringFiller.slice(0, fillLen);\n  return left ? stringFiller + S : S + stringFiller;\n};\n","'use strict';\n// https://github.com/tc39/proposal-string-pad-start-end\nvar $export = require('./_export');\nvar $pad = require('./_string-pad');\nvar userAgent = require('./_user-agent');\n\n// https://github.com/zloirock/core-js/issues/280\nvar WEBKIT_BUG = /Version\\/10\\.\\d+(\\.\\d+)?( Mobile\\/\\w+)? Safari\\//.test(userAgent);\n\n$export($export.P + $export.F * WEBKIT_BUG, 'String', {\n  padStart: function padStart(maxLength /* , fillString = ' ' */) {\n    return $pad(this, maxLength, arguments.length > 1 ? arguments[1] : undefined, true);\n  }\n});\n","'use strict';\n// https://github.com/tc39/proposal-string-pad-start-end\nvar $export = require('./_export');\nvar $pad = require('./_string-pad');\nvar userAgent = require('./_user-agent');\n\n// https://github.com/zloirock/core-js/issues/280\nvar WEBKIT_BUG = /Version\\/10\\.\\d+(\\.\\d+)?( Mobile\\/\\w+)? Safari\\//.test(userAgent);\n\n$export($export.P + $export.F * WEBKIT_BUG, 'String', {\n  padEnd: function padEnd(maxLength /* , fillString = ' ' */) {\n    return $pad(this, maxLength, arguments.length > 1 ? arguments[1] : undefined, false);\n  }\n});\n","'use strict';\n// https://github.com/sebmarkbage/ecmascript-string-left-right-trim\nrequire('./_string-trim')('trimLeft', function ($trim) {\n  return function trimLeft() {\n    return $trim(this, 1);\n  };\n}, 'trimStart');\n","'use strict';\n// https://github.com/sebmarkbage/ecmascript-string-left-right-trim\nrequire('./_string-trim')('trimRight', function ($trim) {\n  return function trimRight() {\n    return $trim(this, 2);\n  };\n}, 'trimEnd');\n","'use strict';\n// https://tc39.github.io/String.prototype.matchAll/\nvar $export = require('./_export');\nvar defined = require('./_defined');\nvar toLength = require('./_to-length');\nvar isRegExp = require('./_is-regexp');\nvar getFlags = require('./_flags');\nvar RegExpProto = RegExp.prototype;\n\nvar $RegExpStringIterator = function (regexp, string) {\n  this._r = regexp;\n  this._s = string;\n};\n\nrequire('./_iter-create')($RegExpStringIterator, 'RegExp String', function next() {\n  var match = this._r.exec(this._s);\n  return { value: match, done: match === null };\n});\n\n$export($export.P, 'String', {\n  matchAll: function matchAll(regexp) {\n    defined(this);\n    if (!isRegExp(regexp)) throw TypeError(regexp + ' is not a regexp!');\n    var S = String(this);\n    var flags = 'flags' in RegExpProto ? String(regexp.flags) : getFlags.call(regexp);\n    var rx = new RegExp(regexp.source, ~flags.indexOf('g') ? flags : 'g' + flags);\n    rx.lastIndex = toLength(regexp.lastIndex);\n    return new $RegExpStringIterator(rx, S);\n  }\n});\n","require('./_wks-define')('asyncIterator');\n","require('./_wks-define')('observable');\n","// https://github.com/tc39/proposal-object-getownpropertydescriptors\nvar $export = require('./_export');\nvar ownKeys = require('./_own-keys');\nvar toIObject = require('./_to-iobject');\nvar gOPD = require('./_object-gopd');\nvar createProperty = require('./_create-property');\n\n$export($export.S, 'Object', {\n  getOwnPropertyDescriptors: function getOwnPropertyDescriptors(object) {\n    var O = toIObject(object);\n    var getDesc = gOPD.f;\n    var keys = ownKeys(O);\n    var result = {};\n    var i = 0;\n    var key, desc;\n    while (keys.length > i) {\n      desc = getDesc(O, key = keys[i++]);\n      if (desc !== undefined) createProperty(result, key, desc);\n    }\n    return result;\n  }\n});\n","var DESCRIPTORS = require('./_descriptors');\nvar getKeys = require('./_object-keys');\nvar toIObject = require('./_to-iobject');\nvar isEnum = require('./_object-pie').f;\nmodule.exports = function (isEntries) {\n  return function (it) {\n    var O = toIObject(it);\n    var keys = getKeys(O);\n    var length = keys.length;\n    var i = 0;\n    var result = [];\n    var key;\n    while (length > i) {\n      key = keys[i++];\n      if (!DESCRIPTORS || isEnum.call(O, key)) {\n        result.push(isEntries ? [key, O[key]] : O[key]);\n      }\n    }\n    return result;\n  };\n};\n","// https://github.com/tc39/proposal-object-values-entries\nvar $export = require('./_export');\nvar $values = require('./_object-to-array')(false);\n\n$export($export.S, 'Object', {\n  values: function values(it) {\n    return $values(it);\n  }\n});\n","// https://github.com/tc39/proposal-object-values-entries\nvar $export = require('./_export');\nvar $entries = require('./_object-to-array')(true);\n\n$export($export.S, 'Object', {\n  entries: function entries(it) {\n    return $entries(it);\n  }\n});\n","'use strict';\n// Forced replacement prototype accessors methods\nmodule.exports = require('./_library') || !require('./_fails')(function () {\n  var K = Math.random();\n  // In FF throws only define methods\n  // eslint-disable-next-line no-undef, no-useless-call\n  __defineSetter__.call(null, K, function () { /* empty */ });\n  delete require('./_global')[K];\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar aFunction = require('./_a-function');\nvar $defineProperty = require('./_object-dp');\n\n// B.2.2.2 Object.prototype.__defineGetter__(P, getter)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __defineGetter__: function __defineGetter__(P, getter) {\n    $defineProperty.f(toObject(this), P, { get: aFunction(getter), enumerable: true, configurable: true });\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar aFunction = require('./_a-function');\nvar $defineProperty = require('./_object-dp');\n\n// B.2.2.3 Object.prototype.__defineSetter__(P, setter)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __defineSetter__: function __defineSetter__(P, setter) {\n    $defineProperty.f(toObject(this), P, { set: aFunction(setter), enumerable: true, configurable: true });\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar toPrimitive = require('./_to-primitive');\nvar getPrototypeOf = require('./_object-gpo');\nvar getOwnPropertyDescriptor = require('./_object-gopd').f;\n\n// B.2.2.4 Object.prototype.__lookupGetter__(P)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __lookupGetter__: function __lookupGetter__(P) {\n    var O = toObject(this);\n    var K = toPrimitive(P, true);\n    var D;\n    do {\n      if (D = getOwnPropertyDescriptor(O, K)) return D.get;\n    } while (O = getPrototypeOf(O));\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar toPrimitive = require('./_to-primitive');\nvar getPrototypeOf = require('./_object-gpo');\nvar getOwnPropertyDescriptor = require('./_object-gopd').f;\n\n// B.2.2.5 Object.prototype.__lookupSetter__(P)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __lookupSetter__: function __lookupSetter__(P) {\n    var O = toObject(this);\n    var K = toPrimitive(P, true);\n    var D;\n    do {\n      if (D = getOwnPropertyDescriptor(O, K)) return D.set;\n    } while (O = getPrototypeOf(O));\n  }\n});\n","var forOf = require('./_for-of');\n\nmodule.exports = function (iter, ITERATOR) {\n  var result = [];\n  forOf(iter, false, result.push, result, ITERATOR);\n  return result;\n};\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar classof = require('./_classof');\nvar from = require('./_array-from-iterable');\nmodule.exports = function (NAME) {\n  return function toJSON() {\n    if (classof(this) != NAME) throw TypeError(NAME + \"#toJSON isn't generic\");\n    return from(this);\n  };\n};\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar $export = require('./_export');\n\n$export($export.P + $export.R, 'Map', { toJSON: require('./_collection-to-json')('Map') });\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar $export = require('./_export');\n\n$export($export.P + $export.R, 'Set', { toJSON: require('./_collection-to-json')('Set') });\n","'use strict';\n// https://tc39.github.io/proposal-setmap-offrom/\nvar $export = require('./_export');\n\nmodule.exports = function (COLLECTION) {\n  $export($export.S, COLLECTION, { of: function of() {\n    var length = arguments.length;\n    var A = new Array(length);\n    while (length--) A[length] = arguments[length];\n    return new this(A);\n  } });\n};\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-map.of\nrequire('./_set-collection-of')('Map');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-set.of\nrequire('./_set-collection-of')('Set');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakmap.of\nrequire('./_set-collection-of')('WeakMap');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakset.of\nrequire('./_set-collection-of')('WeakSet');\n","'use strict';\n// https://tc39.github.io/proposal-setmap-offrom/\nvar $export = require('./_export');\nvar aFunction = require('./_a-function');\nvar ctx = require('./_ctx');\nvar forOf = require('./_for-of');\n\nmodule.exports = function (COLLECTION) {\n  $export($export.S, COLLECTION, { from: function from(source /* , mapFn, thisArg */) {\n    var mapFn = arguments[1];\n    var mapping, A, n, cb;\n    aFunction(this);\n    mapping = mapFn !== undefined;\n    if (mapping) aFunction(mapFn);\n    if (source == undefined) return new this();\n    A = [];\n    if (mapping) {\n      n = 0;\n      cb = ctx(mapFn, arguments[2], 2);\n      forOf(source, false, function (nextItem) {\n        A.push(cb(nextItem, n++));\n      });\n    } else {\n      forOf(source, false, A.push, A);\n    }\n    return new this(A);\n  } });\n};\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-map.from\nrequire('./_set-collection-from')('Map');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-set.from\nrequire('./_set-collection-from')('Set');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakmap.from\nrequire('./_set-collection-from')('WeakMap');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakset.from\nrequire('./_set-collection-from')('WeakSet');\n","// https://github.com/tc39/proposal-global\nvar $export = require('./_export');\n\n$export($export.G, { global: require('./_global') });\n","// https://github.com/tc39/proposal-global\nvar $export = require('./_export');\n\n$export($export.S, 'System', { global: require('./_global') });\n","// https://github.com/ljharb/proposal-is-error\nvar $export = require('./_export');\nvar cof = require('./_cof');\n\n$export($export.S, 'Error', {\n  isError: function isError(it) {\n    return cof(it) === 'Error';\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  clamp: function clamp(x, lower, upper) {\n    return Math.min(upper, Math.max(lower, x));\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { DEG_PER_RAD: Math.PI / 180 });\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\nvar RAD_PER_DEG = 180 / Math.PI;\n\n$export($export.S, 'Math', {\n  degrees: function degrees(radians) {\n    return radians * RAD_PER_DEG;\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nmodule.exports = Math.scale || function scale(x, inLow, inHigh, outLow, outHigh) {\n  if (\n    arguments.length === 0\n      // eslint-disable-next-line no-self-compare\n      || x != x\n      // eslint-disable-next-line no-self-compare\n      || inLow != inLow\n      // eslint-disable-next-line no-self-compare\n      || inHigh != inHigh\n      // eslint-disable-next-line no-self-compare\n      || outLow != outLow\n      // eslint-disable-next-line no-self-compare\n      || outHigh != outHigh\n  ) return NaN;\n  if (x === Infinity || x === -Infinity) return x;\n  return (x - inLow) * (outHigh - outLow) / (inHigh - inLow) + outLow;\n};\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\nvar scale = require('./_math-scale');\nvar fround = require('./_math-fround');\n\n$export($export.S, 'Math', {\n  fscale: function fscale(x, inLow, inHigh, outLow, outHigh) {\n    return fround(scale(x, inLow, inHigh, outLow, outHigh));\n  }\n});\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  iaddh: function iaddh(x0, x1, y0, y1) {\n    var $x0 = x0 >>> 0;\n    var $x1 = x1 >>> 0;\n    var $y0 = y0 >>> 0;\n    return $x1 + (y1 >>> 0) + (($x0 & $y0 | ($x0 | $y0) & ~($x0 + $y0 >>> 0)) >>> 31) | 0;\n  }\n});\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  isubh: function isubh(x0, x1, y0, y1) {\n    var $x0 = x0 >>> 0;\n    var $x1 = x1 >>> 0;\n    var $y0 = y0 >>> 0;\n    return $x1 - (y1 >>> 0) - ((~$x0 & $y0 | ~($x0 ^ $y0) & $x0 - $y0 >>> 0) >>> 31) | 0;\n  }\n});\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  imulh: function imulh(u, v) {\n    var UINT16 = 0xffff;\n    var $u = +u;\n    var $v = +v;\n    var u0 = $u & UINT16;\n    var v0 = $v & UINT16;\n    var u1 = $u >> 16;\n    var v1 = $v >> 16;\n    var t = (u1 * v0 >>> 0) + (u0 * v0 >>> 16);\n    return u1 * v1 + (t >> 16) + ((u0 * v1 >>> 0) + (t & UINT16) >> 16);\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { RAD_PER_DEG: 180 / Math.PI });\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\nvar DEG_PER_RAD = Math.PI / 180;\n\n$export($export.S, 'Math', {\n  radians: function radians(degrees) {\n    return degrees * DEG_PER_RAD;\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { scale: require('./_math-scale') });\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  umulh: function umulh(u, v) {\n    var UINT16 = 0xffff;\n    var $u = +u;\n    var $v = +v;\n    var u0 = $u & UINT16;\n    var v0 = $v & UINT16;\n    var u1 = $u >>> 16;\n    var v1 = $v >>> 16;\n    var t = (u1 * v0 >>> 0) + (u0 * v0 >>> 16);\n    return u1 * v1 + (t >>> 16) + ((u0 * v1 >>> 0) + (t & UINT16) >>> 16);\n  }\n});\n","// http://jfbastien.github.io/papers/Math.signbit.html\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { signbit: function signbit(x) {\n  // eslint-disable-next-line no-self-compare\n  return (x = +x) != x ? x : x == 0 ? 1 / x == Infinity : x > 0;\n} });\n","// https://github.com/tc39/proposal-promise-finally\n'use strict';\nvar $export = require('./_export');\nvar core = require('./_core');\nvar global = require('./_global');\nvar speciesConstructor = require('./_species-constructor');\nvar promiseResolve = require('./_promise-resolve');\n\n$export($export.P + $export.R, 'Promise', { 'finally': function (onFinally) {\n  var C = speciesConstructor(this, core.Promise || global.Promise);\n  var isFunction = typeof onFinally == 'function';\n  return this.then(\n    isFunction ? function (x) {\n      return promiseResolve(C, onFinally()).then(function () { return x; });\n    } : onFinally,\n    isFunction ? function (e) {\n      return promiseResolve(C, onFinally()).then(function () { throw e; });\n    } : onFinally\n  );\n} });\n","'use strict';\n// https://github.com/tc39/proposal-promise-try\nvar $export = require('./_export');\nvar newPromiseCapability = require('./_new-promise-capability');\nvar perform = require('./_perform');\n\n$export($export.S, 'Promise', { 'try': function (callbackfn) {\n  var promiseCapability = newPromiseCapability.f(this);\n  var result = perform(callbackfn);\n  (result.e ? promiseCapability.reject : promiseCapability.resolve)(result.v);\n  return promiseCapability.promise;\n} });\n","var Map = require('./es6.map');\nvar $export = require('./_export');\nvar shared = require('./_shared')('metadata');\nvar store = shared.store || (shared.store = new (require('./es6.weak-map'))());\n\nvar getOrCreateMetadataMap = function (target, targetKey, create) {\n  var targetMetadata = store.get(target);\n  if (!targetMetadata) {\n    if (!create) return undefined;\n    store.set(target, targetMetadata = new Map());\n  }\n  var keyMetadata = targetMetadata.get(targetKey);\n  if (!keyMetadata) {\n    if (!create) return undefined;\n    targetMetadata.set(targetKey, keyMetadata = new Map());\n  } return keyMetadata;\n};\nvar ordinaryHasOwnMetadata = function (MetadataKey, O, P) {\n  var metadataMap = getOrCreateMetadataMap(O, P, false);\n  return metadataMap === undefined ? false : metadataMap.has(MetadataKey);\n};\nvar ordinaryGetOwnMetadata = function (MetadataKey, O, P) {\n  var metadataMap = getOrCreateMetadataMap(O, P, false);\n  return metadataMap === undefined ? undefined : metadataMap.get(MetadataKey);\n};\nvar ordinaryDefineOwnMetadata = function (MetadataKey, MetadataValue, O, P) {\n  getOrCreateMetadataMap(O, P, true).set(MetadataKey, MetadataValue);\n};\nvar ordinaryOwnMetadataKeys = function (target, targetKey) {\n  var metadataMap = getOrCreateMetadataMap(target, targetKey, false);\n  var keys = [];\n  if (metadataMap) metadataMap.forEach(function (_, key) { keys.push(key); });\n  return keys;\n};\nvar toMetaKey = function (it) {\n  return it === undefined || typeof it == 'symbol' ? it : String(it);\n};\nvar exp = function (O) {\n  $export($export.S, 'Reflect', O);\n};\n\nmodule.exports = {\n  store: store,\n  map: getOrCreateMetadataMap,\n  has: ordinaryHasOwnMetadata,\n  get: ordinaryGetOwnMetadata,\n  set: ordinaryDefineOwnMetadata,\n  keys: ordinaryOwnMetadataKeys,\n  key: toMetaKey,\n  exp: exp\n};\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar toMetaKey = metadata.key;\nvar ordinaryDefineOwnMetadata = metadata.set;\n\nmetadata.exp({ defineMetadata: function defineMetadata(metadataKey, metadataValue, target, targetKey) {\n  ordinaryDefineOwnMetadata(metadataKey, metadataValue, anObject(target), toMetaKey(targetKey));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar toMetaKey = metadata.key;\nvar getOrCreateMetadataMap = metadata.map;\nvar store = metadata.store;\n\nmetadata.exp({ deleteMetadata: function deleteMetadata(metadataKey, target /* , targetKey */) {\n  var targetKey = arguments.length < 3 ? undefined : toMetaKey(arguments[2]);\n  var metadataMap = getOrCreateMetadataMap(anObject(target), targetKey, false);\n  if (metadataMap === undefined || !metadataMap['delete'](metadataKey)) return false;\n  if (metadataMap.size) return true;\n  var targetMetadata = store.get(target);\n  targetMetadata['delete'](targetKey);\n  return !!targetMetadata.size || store['delete'](target);\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar ordinaryHasOwnMetadata = metadata.has;\nvar ordinaryGetOwnMetadata = metadata.get;\nvar toMetaKey = metadata.key;\n\nvar ordinaryGetMetadata = function (MetadataKey, O, P) {\n  var hasOwn = ordinaryHasOwnMetadata(MetadataKey, O, P);\n  if (hasOwn) return ordinaryGetOwnMetadata(MetadataKey, O, P);\n  var parent = getPrototypeOf(O);\n  return parent !== null ? ordinaryGetMetadata(MetadataKey, parent, P) : undefined;\n};\n\nmetadata.exp({ getMetadata: function getMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryGetMetadata(metadataKey, anObject(target), arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var Set = require('./es6.set');\nvar from = require('./_array-from-iterable');\nvar metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar ordinaryOwnMetadataKeys = metadata.keys;\nvar toMetaKey = metadata.key;\n\nvar ordinaryMetadataKeys = function (O, P) {\n  var oKeys = ordinaryOwnMetadataKeys(O, P);\n  var parent = getPrototypeOf(O);\n  if (parent === null) return oKeys;\n  var pKeys = ordinaryMetadataKeys(parent, P);\n  return pKeys.length ? oKeys.length ? from(new Set(oKeys.concat(pKeys))) : pKeys : oKeys;\n};\n\nmetadata.exp({ getMetadataKeys: function getMetadataKeys(target /* , targetKey */) {\n  return ordinaryMetadataKeys(anObject(target), arguments.length < 2 ? undefined : toMetaKey(arguments[1]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar ordinaryGetOwnMetadata = metadata.get;\nvar toMetaKey = metadata.key;\n\nmetadata.exp({ getOwnMetadata: function getOwnMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryGetOwnMetadata(metadataKey, anObject(target)\n    , arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar ordinaryOwnMetadataKeys = metadata.keys;\nvar toMetaKey = metadata.key;\n\nmetadata.exp({ getOwnMetadataKeys: function getOwnMetadataKeys(target /* , targetKey */) {\n  return ordinaryOwnMetadataKeys(anObject(target), arguments.length < 2 ? undefined : toMetaKey(arguments[1]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar ordinaryHasOwnMetadata = metadata.has;\nvar toMetaKey = metadata.key;\n\nvar ordinaryHasMetadata = function (MetadataKey, O, P) {\n  var hasOwn = ordinaryHasOwnMetadata(MetadataKey, O, P);\n  if (hasOwn) return true;\n  var parent = getPrototypeOf(O);\n  return parent !== null ? ordinaryHasMetadata(MetadataKey, parent, P) : false;\n};\n\nmetadata.exp({ hasMetadata: function hasMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryHasMetadata(metadataKey, anObject(target), arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar ordinaryHasOwnMetadata = metadata.has;\nvar toMetaKey = metadata.key;\n\nmetadata.exp({ hasOwnMetadata: function hasOwnMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryHasOwnMetadata(metadataKey, anObject(target)\n    , arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var $metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar aFunction = require('./_a-function');\nvar toMetaKey = $metadata.key;\nvar ordinaryDefineOwnMetadata = $metadata.set;\n\n$metadata.exp({ metadata: function metadata(metadataKey, metadataValue) {\n  return function decorator(target, targetKey) {\n    ordinaryDefineOwnMetadata(\n      metadataKey, metadataValue,\n      (targetKey !== undefined ? anObject : aFunction)(target),\n      toMetaKey(targetKey)\n    );\n  };\n} });\n","// https://github.com/rwaldron/tc39-notes/blob/master/es6/2014-09/sept-25.md#510-globalasap-for-enqueuing-a-microtask\nvar $export = require('./_export');\nvar microtask = require('./_microtask')();\nvar process = require('./_global').process;\nvar isNode = require('./_cof')(process) == 'process';\n\n$export($export.G, {\n  asap: function asap(fn) {\n    var domain = isNode && process.domain;\n    microtask(domain ? domain.bind(fn) : fn);\n  }\n});\n","'use strict';\n// https://github.com/zenparsing/es-observable\nvar $export = require('./_export');\nvar global = require('./_global');\nvar core = require('./_core');\nvar microtask = require('./_microtask')();\nvar OBSERVABLE = require('./_wks')('observable');\nvar aFunction = require('./_a-function');\nvar anObject = require('./_an-object');\nvar anInstance = require('./_an-instance');\nvar redefineAll = require('./_redefine-all');\nvar hide = require('./_hide');\nvar forOf = require('./_for-of');\nvar RETURN = forOf.RETURN;\n\nvar getMethod = function (fn) {\n  return fn == null ? undefined : aFunction(fn);\n};\n\nvar cleanupSubscription = function (subscription) {\n  var cleanup = subscription._c;\n  if (cleanup) {\n    subscription._c = undefined;\n    cleanup();\n  }\n};\n\nvar subscriptionClosed = function (subscription) {\n  return subscription._o === undefined;\n};\n\nvar closeSubscription = function (subscription) {\n  if (!subscriptionClosed(subscription)) {\n    subscription._o = undefined;\n    cleanupSubscription(subscription);\n  }\n};\n\nvar Subscription = function (observer, subscriber) {\n  anObject(observer);\n  this._c = undefined;\n  this._o = observer;\n  observer = new SubscriptionObserver(this);\n  try {\n    var cleanup = subscriber(observer);\n    var subscription = cleanup;\n    if (cleanup != null) {\n      if (typeof cleanup.unsubscribe === 'function') cleanup = function () { subscription.unsubscribe(); };\n      else aFunction(cleanup);\n      this._c = cleanup;\n    }\n  } catch (e) {\n    observer.error(e);\n    return;\n  } if (subscriptionClosed(this)) cleanupSubscription(this);\n};\n\nSubscription.prototype = redefineAll({}, {\n  unsubscribe: function unsubscribe() { closeSubscription(this); }\n});\n\nvar SubscriptionObserver = function (subscription) {\n  this._s = subscription;\n};\n\nSubscriptionObserver.prototype = redefineAll({}, {\n  next: function next(value) {\n    var subscription = this._s;\n    if (!subscriptionClosed(subscription)) {\n      var observer = subscription._o;\n      try {\n        var m = getMethod(observer.next);\n        if (m) return m.call(observer, value);\n      } catch (e) {\n        try {\n          closeSubscription(subscription);\n        } finally {\n          throw e;\n        }\n      }\n    }\n  },\n  error: function error(value) {\n    var subscription = this._s;\n    if (subscriptionClosed(subscription)) throw value;\n    var observer = subscription._o;\n    subscription._o = undefined;\n    try {\n      var m = getMethod(observer.error);\n      if (!m) throw value;\n      value = m.call(observer, value);\n    } catch (e) {\n      try {\n        cleanupSubscription(subscription);\n      } finally {\n        throw e;\n      }\n    } cleanupSubscription(subscription);\n    return value;\n  },\n  complete: function complete(value) {\n    var subscription = this._s;\n    if (!subscriptionClosed(subscription)) {\n      var observer = subscription._o;\n      subscription._o = undefined;\n      try {\n        var m = getMethod(observer.complete);\n        value = m ? m.call(observer, value) : undefined;\n      } catch (e) {\n        try {\n          cleanupSubscription(subscription);\n        } finally {\n          throw e;\n        }\n      } cleanupSubscription(subscription);\n      return value;\n    }\n  }\n});\n\nvar $Observable = function Observable(subscriber) {\n  anInstance(this, $Observable, 'Observable', '_f')._f = aFunction(subscriber);\n};\n\nredefineAll($Observable.prototype, {\n  subscribe: function subscribe(observer) {\n    return new Subscription(observer, this._f);\n  },\n  forEach: function forEach(fn) {\n    var that = this;\n    return new (core.Promise || global.Promise)(function (resolve, reject) {\n      aFunction(fn);\n      var subscription = that.subscribe({\n        next: function (value) {\n          try {\n            return fn(value);\n          } catch (e) {\n            reject(e);\n            subscription.unsubscribe();\n          }\n        },\n        error: reject,\n        complete: resolve\n      });\n    });\n  }\n});\n\nredefineAll($Observable, {\n  from: function from(x) {\n    var C = typeof this === 'function' ? this : $Observable;\n    var method = getMethod(anObject(x)[OBSERVABLE]);\n    if (method) {\n      var observable = anObject(method.call(x));\n      return observable.constructor === C ? observable : new C(function (observer) {\n        return observable.subscribe(observer);\n      });\n    }\n    return new C(function (observer) {\n      var done = false;\n      microtask(function () {\n        if (!done) {\n          try {\n            if (forOf(x, false, function (it) {\n              observer.next(it);\n              if (done) return RETURN;\n            }) === RETURN) return;\n          } catch (e) {\n            if (done) throw e;\n            observer.error(e);\n            return;\n          } observer.complete();\n        }\n      });\n      return function () { done = true; };\n    });\n  },\n  of: function of() {\n    for (var i = 0, l = arguments.length, items = new Array(l); i < l;) items[i] = arguments[i++];\n    return new (typeof this === 'function' ? this : $Observable)(function (observer) {\n      var done = false;\n      microtask(function () {\n        if (!done) {\n          for (var j = 0; j < items.length; ++j) {\n            observer.next(items[j]);\n            if (done) return;\n          } observer.complete();\n        }\n      });\n      return function () { done = true; };\n    });\n  }\n});\n\nhide($Observable.prototype, OBSERVABLE, function () { return this; });\n\n$export($export.G, { Observable: $Observable });\n\nrequire('./_set-species')('Observable');\n","// ie9- setTimeout & setInterval additional parameters fix\nvar global = require('./_global');\nvar $export = require('./_export');\nvar userAgent = require('./_user-agent');\nvar slice = [].slice;\nvar MSIE = /MSIE .\\./.test(userAgent); // <- dirty ie9- check\nvar wrap = function (set) {\n  return function (fn, time /* , ...args */) {\n    var boundArgs = arguments.length > 2;\n    var args = boundArgs ? slice.call(arguments, 2) : false;\n    return set(boundArgs ? function () {\n      // eslint-disable-next-line no-new-func\n      (typeof fn == 'function' ? fn : Function(fn)).apply(this, args);\n    } : fn, time);\n  };\n};\n$export($export.G + $export.B + $export.F * MSIE, {\n  setTimeout: wrap(global.setTimeout),\n  setInterval: wrap(global.setInterval)\n});\n","var $export = require('./_export');\nvar $task = require('./_task');\n$export($export.G + $export.B, {\n  setImmediate: $task.set,\n  clearImmediate: $task.clear\n});\n","var $iterators = require('./es6.array.iterator');\nvar getKeys = require('./_object-keys');\nvar redefine = require('./_redefine');\nvar global = require('./_global');\nvar hide = require('./_hide');\nvar Iterators = require('./_iterators');\nvar wks = require('./_wks');\nvar ITERATOR = wks('iterator');\nvar TO_STRING_TAG = wks('toStringTag');\nvar ArrayValues = Iterators.Array;\n\nvar DOMIterables = {\n  CSSRuleList: true, // TODO: Not spec compliant, should be false.\n  CSSStyleDeclaration: false,\n  CSSValueList: false,\n  ClientRectList: false,\n  DOMRectList: false,\n  DOMStringList: false,\n  DOMTokenList: true,\n  DataTransferItemList: false,\n  FileList: false,\n  HTMLAllCollection: false,\n  HTMLCollection: false,\n  HTMLFormElement: false,\n  HTMLSelectElement: false,\n  MediaList: true, // TODO: Not spec compliant, should be false.\n  MimeTypeArray: false,\n  NamedNodeMap: false,\n  NodeList: true,\n  PaintRequestList: false,\n  Plugin: false,\n  PluginArray: false,\n  SVGLengthList: false,\n  SVGNumberList: false,\n  SVGPathSegList: false,\n  SVGPointList: false,\n  SVGStringList: false,\n  SVGTransformList: false,\n  SourceBufferList: false,\n  StyleSheetList: true, // TODO: Not spec compliant, should be false.\n  TextTrackCueList: false,\n  TextTrackList: false,\n  TouchList: false\n};\n\nfor (var collections = getKeys(DOMIterables), i = 0; i < collections.length; i++) {\n  var NAME = collections[i];\n  var explicit = DOMIterables[NAME];\n  var Collection = global[NAME];\n  var proto = Collection && Collection.prototype;\n  var key;\n  if (proto) {\n    if (!proto[ITERATOR]) hide(proto, ITERATOR, ArrayValues);\n    if (!proto[TO_STRING_TAG]) hide(proto, TO_STRING_TAG, NAME);\n    Iterators[NAME] = ArrayValues;\n    if (explicit) for (key in $iterators) if (!proto[key]) redefine(proto, key, $iterators[key], true);\n  }\n}\n","require('./modules/es6.symbol');\nrequire('./modules/es6.object.create');\nrequire('./modules/es6.object.define-property');\nrequire('./modules/es6.object.define-properties');\nrequire('./modules/es6.object.get-own-property-descriptor');\nrequire('./modules/es6.object.get-prototype-of');\nrequire('./modules/es6.object.keys');\nrequire('./modules/es6.object.get-own-property-names');\nrequire('./modules/es6.object.freeze');\nrequire('./modules/es6.object.seal');\nrequire('./modules/es6.object.prevent-extensions');\nrequire('./modules/es6.object.is-frozen');\nrequire('./modules/es6.object.is-sealed');\nrequire('./modules/es6.object.is-extensible');\nrequire('./modules/es6.object.assign');\nrequire('./modules/es6.object.is');\nrequire('./modules/es6.object.set-prototype-of');\nrequire('./modules/es6.object.to-string');\nrequire('./modules/es6.function.bind');\nrequire('./modules/es6.function.name');\nrequire('./modules/es6.function.has-instance');\nrequire('./modules/es6.parse-int');\nrequire('./modules/es6.parse-float');\nrequire('./modules/es6.number.constructor');\nrequire('./modules/es6.number.to-fixed');\nrequire('./modules/es6.number.to-precision');\nrequire('./modules/es6.number.epsilon');\nrequire('./modules/es6.number.is-finite');\nrequire('./modules/es6.number.is-integer');\nrequire('./modules/es6.number.is-nan');\nrequire('./modules/es6.number.is-safe-integer');\nrequire('./modules/es6.number.max-safe-integer');\nrequire('./modules/es6.number.min-safe-integer');\nrequire('./modules/es6.number.parse-float');\nrequire('./modules/es6.number.parse-int');\nrequire('./modules/es6.math.acosh');\nrequire('./modules/es6.math.asinh');\nrequire('./modules/es6.math.atanh');\nrequire('./modules/es6.math.cbrt');\nrequire('./modules/es6.math.clz32');\nrequire('./modules/es6.math.cosh');\nrequire('./modules/es6.math.expm1');\nrequire('./modules/es6.math.fround');\nrequire('./modules/es6.math.hypot');\nrequire('./modules/es6.math.imul');\nrequire('./modules/es6.math.log10');\nrequire('./modules/es6.math.log1p');\nrequire('./modules/es6.math.log2');\nrequire('./modules/es6.math.sign');\nrequire('./modules/es6.math.sinh');\nrequire('./modules/es6.math.tanh');\nrequire('./modules/es6.math.trunc');\nrequire('./modules/es6.string.from-code-point');\nrequire('./modules/es6.string.raw');\nrequire('./modules/es6.string.trim');\nrequire('./modules/es6.string.iterator');\nrequire('./modules/es6.string.code-point-at');\nrequire('./modules/es6.string.ends-with');\nrequire('./modules/es6.string.includes');\nrequire('./modules/es6.string.repeat');\nrequire('./modules/es6.string.starts-with');\nrequire('./modules/es6.string.anchor');\nrequire('./modules/es6.string.big');\nrequire('./modules/es6.string.blink');\nrequire('./modules/es6.string.bold');\nrequire('./modules/es6.string.fixed');\nrequire('./modules/es6.string.fontcolor');\nrequire('./modules/es6.string.fontsize');\nrequire('./modules/es6.string.italics');\nrequire('./modules/es6.string.link');\nrequire('./modules/es6.string.small');\nrequire('./modules/es6.string.strike');\nrequire('./modules/es6.string.sub');\nrequire('./modules/es6.string.sup');\nrequire('./modules/es6.date.now');\nrequire('./modules/es6.date.to-json');\nrequire('./modules/es6.date.to-iso-string');\nrequire('./modules/es6.date.to-string');\nrequire('./modules/es6.date.to-primitive');\nrequire('./modules/es6.array.is-array');\nrequire('./modules/es6.array.from');\nrequire('./modules/es6.array.of');\nrequire('./modules/es6.array.join');\nrequire('./modules/es6.array.slice');\nrequire('./modules/es6.array.sort');\nrequire('./modules/es6.array.for-each');\nrequire('./modules/es6.array.map');\nrequire('./modules/es6.array.filter');\nrequire('./modules/es6.array.some');\nrequire('./modules/es6.array.every');\nrequire('./modules/es6.array.reduce');\nrequire('./modules/es6.array.reduce-right');\nrequire('./modules/es6.array.index-of');\nrequire('./modules/es6.array.last-index-of');\nrequire('./modules/es6.array.copy-within');\nrequire('./modules/es6.array.fill');\nrequire('./modules/es6.array.find');\nrequire('./modules/es6.array.find-index');\nrequire('./modules/es6.array.species');\nrequire('./modules/es6.array.iterator');\nrequire('./modules/es6.regexp.constructor');\nrequire('./modules/es6.regexp.exec');\nrequire('./modules/es6.regexp.to-string');\nrequire('./modules/es6.regexp.flags');\nrequire('./modules/es6.regexp.match');\nrequire('./modules/es6.regexp.replace');\nrequire('./modules/es6.regexp.search');\nrequire('./modules/es6.regexp.split');\nrequire('./modules/es6.promise');\nrequire('./modules/es6.map');\nrequire('./modules/es6.set');\nrequire('./modules/es6.weak-map');\nrequire('./modules/es6.weak-set');\nrequire('./modules/es6.typed.array-buffer');\nrequire('./modules/es6.typed.data-view');\nrequire('./modules/es6.typed.int8-array');\nrequire('./modules/es6.typed.uint8-array');\nrequire('./modules/es6.typed.uint8-clamped-array');\nrequire('./modules/es6.typed.int16-array');\nrequire('./modules/es6.typed.uint16-array');\nrequire('./modules/es6.typed.int32-array');\nrequire('./modules/es6.typed.uint32-array');\nrequire('./modules/es6.typed.float32-array');\nrequire('./modules/es6.typed.float64-array');\nrequire('./modules/es6.reflect.apply');\nrequire('./modules/es6.reflect.construct');\nrequire('./modules/es6.reflect.define-property');\nrequire('./modules/es6.reflect.delete-property');\nrequire('./modules/es6.reflect.enumerate');\nrequire('./modules/es6.reflect.get');\nrequire('./modules/es6.reflect.get-own-property-descriptor');\nrequire('./modules/es6.reflect.get-prototype-of');\nrequire('./modules/es6.reflect.has');\nrequire('./modules/es6.reflect.is-extensible');\nrequire('./modules/es6.reflect.own-keys');\nrequire('./modules/es6.reflect.prevent-extensions');\nrequire('./modules/es6.reflect.set');\nrequire('./modules/es6.reflect.set-prototype-of');\nrequire('./modules/es7.array.includes');\nrequire('./modules/es7.array.flat-map');\nrequire('./modules/es7.array.flatten');\nrequire('./modules/es7.string.at');\nrequire('./modules/es7.string.pad-start');\nrequire('./modules/es7.string.pad-end');\nrequire('./modules/es7.string.trim-left');\nrequire('./modules/es7.string.trim-right');\nrequire('./modules/es7.string.match-all');\nrequire('./modules/es7.symbol.async-iterator');\nrequire('./modules/es7.symbol.observable');\nrequire('./modules/es7.object.get-own-property-descriptors');\nrequire('./modules/es7.object.values');\nrequire('./modules/es7.object.entries');\nrequire('./modules/es7.object.define-getter');\nrequire('./modules/es7.object.define-setter');\nrequire('./modules/es7.object.lookup-getter');\nrequire('./modules/es7.object.lookup-setter');\nrequire('./modules/es7.map.to-json');\nrequire('./modules/es7.set.to-json');\nrequire('./modules/es7.map.of');\nrequire('./modules/es7.set.of');\nrequire('./modules/es7.weak-map.of');\nrequire('./modules/es7.weak-set.of');\nrequire('./modules/es7.map.from');\nrequire('./modules/es7.set.from');\nrequire('./modules/es7.weak-map.from');\nrequire('./modules/es7.weak-set.from');\nrequire('./modules/es7.global');\nrequire('./modules/es7.system.global');\nrequire('./modules/es7.error.is-error');\nrequire('./modules/es7.math.clamp');\nrequire('./modules/es7.math.deg-per-rad');\nrequire('./modules/es7.math.degrees');\nrequire('./modules/es7.math.fscale');\nrequire('./modules/es7.math.iaddh');\nrequire('./modules/es7.math.isubh');\nrequire('./modules/es7.math.imulh');\nrequire('./modules/es7.math.rad-per-deg');\nrequire('./modules/es7.math.radians');\nrequire('./modules/es7.math.scale');\nrequire('./modules/es7.math.umulh');\nrequire('./modules/es7.math.signbit');\nrequire('./modules/es7.promise.finally');\nrequire('./modules/es7.promise.try');\nrequire('./modules/es7.reflect.define-metadata');\nrequire('./modules/es7.reflect.delete-metadata');\nrequire('./modules/es7.reflect.get-metadata');\nrequire('./modules/es7.reflect.get-metadata-keys');\nrequire('./modules/es7.reflect.get-own-metadata');\nrequire('./modules/es7.reflect.get-own-metadata-keys');\nrequire('./modules/es7.reflect.has-metadata');\nrequire('./modules/es7.reflect.has-own-metadata');\nrequire('./modules/es7.reflect.metadata');\nrequire('./modules/es7.asap');\nrequire('./modules/es7.observable');\nrequire('./modules/web.timers');\nrequire('./modules/web.immediate');\nrequire('./modules/web.dom.iterable');\nmodule.exports = require('./modules/_core');\n","/**\n * Copyright (c) 2014, Facebook, Inc.\n * All rights reserved.\n *\n * This source code is licensed under the BSD-style license found in the\n * https://raw.github.com/facebook/regenerator/master/LICENSE file. An\n * additional grant of patent rights can be found in the PATENTS file in\n * the same directory.\n */\n\n!(function(global) {\n  \"use strict\";\n\n  var Op = Object.prototype;\n  var hasOwn = Op.hasOwnProperty;\n  var undefined; // More compressible than void 0.\n  var $Symbol = typeof Symbol === \"function\" ? Symbol : {};\n  var iteratorSymbol = $Symbol.iterator || \"@@iterator\";\n  var asyncIteratorSymbol = $Symbol.asyncIterator || \"@@asyncIterator\";\n  var toStringTagSymbol = $Symbol.toStringTag || \"@@toStringTag\";\n\n  var inModule = typeof module === \"object\";\n  var runtime = global.regeneratorRuntime;\n  if (runtime) {\n    if (inModule) {\n      // If regeneratorRuntime is defined globally and we're in a module,\n      // make the exports object identical to regeneratorRuntime.\n      module.exports = runtime;\n    }\n    // Don't bother evaluating the rest of this file if the runtime was\n    // already defined globally.\n    return;\n  }\n\n  // Define the runtime globally (as expected by generated code) as either\n  // module.exports (if we're in a module) or a new, empty object.\n  runtime = global.regeneratorRuntime = inModule ? module.exports : {};\n\n  function wrap(innerFn, outerFn, self, tryLocsList) {\n    // If outerFn provided and outerFn.prototype is a Generator, then outerFn.prototype instanceof Generator.\n    var protoGenerator = outerFn && outerFn.prototype instanceof Generator ? outerFn : Generator;\n    var generator = Object.create(protoGenerator.prototype);\n    var context = new Context(tryLocsList || []);\n\n    // The ._invoke method unifies the implementations of the .next,\n    // .throw, and .return methods.\n    generator._invoke = makeInvokeMethod(innerFn, self, context);\n\n    return generator;\n  }\n  runtime.wrap = wrap;\n\n  // Try/catch helper to minimize deoptimizations. Returns a completion\n  // record like context.tryEntries[i].completion. This interface could\n  // have been (and was previously) designed to take a closure to be\n  // invoked without arguments, but in all the cases we care about we\n  // already have an existing method we want to call, so there's no need\n  // to create a new function object. We can even get away with assuming\n  // the method takes exactly one argument, since that happens to be true\n  // in every case, so we don't have to touch the arguments object. The\n  // only additional allocation required is the completion record, which\n  // has a stable shape and so hopefully should be cheap to allocate.\n  function tryCatch(fn, obj, arg) {\n    try {\n      return { type: \"normal\", arg: fn.call(obj, arg) };\n    } catch (err) {\n      return { type: \"throw\", arg: err };\n    }\n  }\n\n  var GenStateSuspendedStart = \"suspendedStart\";\n  var GenStateSuspendedYield = \"suspendedYield\";\n  var GenStateExecuting = \"executing\";\n  var GenStateCompleted = \"completed\";\n\n  // Returning this object from the innerFn has the same effect as\n  // breaking out of the dispatch switch statement.\n  var ContinueSentinel = {};\n\n  // Dummy constructor functions that we use as the .constructor and\n  // .constructor.prototype properties for functions that return Generator\n  // objects. For full spec compliance, you may wish to configure your\n  // minifier not to mangle the names of these two functions.\n  function Generator() {}\n  function GeneratorFunction() {}\n  function GeneratorFunctionPrototype() {}\n\n  // This is a polyfill for %IteratorPrototype% for environments that\n  // don't natively support it.\n  var IteratorPrototype = {};\n  IteratorPrototype[iteratorSymbol] = function () {\n    return this;\n  };\n\n  var getProto = Object.getPrototypeOf;\n  var NativeIteratorPrototype = getProto && getProto(getProto(values([])));\n  if (NativeIteratorPrototype &&\n      NativeIteratorPrototype !== Op &&\n      hasOwn.call(NativeIteratorPrototype, iteratorSymbol)) {\n    // This environment has a native %IteratorPrototype%; use it instead\n    // of the polyfill.\n    IteratorPrototype = NativeIteratorPrototype;\n  }\n\n  var Gp = GeneratorFunctionPrototype.prototype =\n    Generator.prototype = Object.create(IteratorPrototype);\n  GeneratorFunction.prototype = Gp.constructor = GeneratorFunctionPrototype;\n  GeneratorFunctionPrototype.constructor = GeneratorFunction;\n  GeneratorFunctionPrototype[toStringTagSymbol] =\n    GeneratorFunction.displayName = \"GeneratorFunction\";\n\n  // Helper for defining the .next, .throw, and .return methods of the\n  // Iterator interface in terms of a single ._invoke method.\n  function defineIteratorMethods(prototype) {\n    [\"next\", \"throw\", \"return\"].forEach(function(method) {\n      prototype[method] = function(arg) {\n        return this._invoke(method, arg);\n      };\n    });\n  }\n\n  runtime.isGeneratorFunction = function(genFun) {\n    var ctor = typeof genFun === \"function\" && genFun.constructor;\n    return ctor\n      ? ctor === GeneratorFunction ||\n        // For the native GeneratorFunction constructor, the best we can\n        // do is to check its .name property.\n        (ctor.displayName || ctor.name) === \"GeneratorFunction\"\n      : false;\n  };\n\n  runtime.mark = function(genFun) {\n    if (Object.setPrototypeOf) {\n      Object.setPrototypeOf(genFun, GeneratorFunctionPrototype);\n    } else {\n      genFun.__proto__ = GeneratorFunctionPrototype;\n      if (!(toStringTagSymbol in genFun)) {\n        genFun[toStringTagSymbol] = \"GeneratorFunction\";\n      }\n    }\n    genFun.prototype = Object.create(Gp);\n    return genFun;\n  };\n\n  // Within the body of any async function, `await x` is transformed to\n  // `yield regeneratorRuntime.awrap(x)`, so that the runtime can test\n  // `hasOwn.call(value, \"__await\")` to determine if the yielded value is\n  // meant to be awaited.\n  runtime.awrap = function(arg) {\n    return { __await: arg };\n  };\n\n  function AsyncIterator(generator) {\n    function invoke(method, arg, resolve, reject) {\n      var record = tryCatch(generator[method], generator, arg);\n      if (record.type === \"throw\") {\n        reject(record.arg);\n      } else {\n        var result = record.arg;\n        var value = result.value;\n        if (value &&\n            typeof value === \"object\" &&\n            hasOwn.call(value, \"__await\")) {\n          return Promise.resolve(value.__await).then(function(value) {\n            invoke(\"next\", value, resolve, reject);\n          }, function(err) {\n            invoke(\"throw\", err, resolve, reject);\n          });\n        }\n\n        return Promise.resolve(value).then(function(unwrapped) {\n          // When a yielded Promise is resolved, its final value becomes\n          // the .value of the Promise<{value,done}> result for the\n          // current iteration. If the Promise is rejected, however, the\n          // result for this iteration will be rejected with the same\n          // reason. Note that rejections of yielded Promises are not\n          // thrown back into the generator function, as is the case\n          // when an awaited Promise is rejected. This difference in\n          // behavior between yield and await is important, because it\n          // allows the consumer to decide what to do with the yielded\n          // rejection (swallow it and continue, manually .throw it back\n          // into the generator, abandon iteration, whatever). With\n          // await, by contrast, there is no opportunity to examine the\n          // rejection reason outside the generator function, so the\n          // only option is to throw it from the await expression, and\n          // let the generator function handle the exception.\n          result.value = unwrapped;\n          resolve(result);\n        }, reject);\n      }\n    }\n\n    if (typeof global.process === \"object\" && global.process.domain) {\n      invoke = global.process.domain.bind(invoke);\n    }\n\n    var previousPromise;\n\n    function enqueue(method, arg) {\n      function callInvokeWithMethodAndArg() {\n        return new Promise(function(resolve, reject) {\n          invoke(method, arg, resolve, reject);\n        });\n      }\n\n      return previousPromise =\n        // If enqueue has been called before, then we want to wait until\n        // all previous Promises have been resolved before calling invoke,\n        // so that results are always delivered in the correct order. If\n        // enqueue has not been called before, then it is important to\n        // call invoke immediately, without waiting on a callback to fire,\n        // so that the async generator function has the opportunity to do\n        // any necessary setup in a predictable way. This predictability\n        // is why the Promise constructor synchronously invokes its\n        // executor callback, and why async functions synchronously\n        // execute code before the first await. Since we implement simple\n        // async functions in terms of async generators, it is especially\n        // important to get this right, even though it requires care.\n        previousPromise ? previousPromise.then(\n          callInvokeWithMethodAndArg,\n          // Avoid propagating failures to Promises returned by later\n          // invocations of the iterator.\n          callInvokeWithMethodAndArg\n        ) : callInvokeWithMethodAndArg();\n    }\n\n    // Define the unified helper method that is used to implement .next,\n    // .throw, and .return (see defineIteratorMethods).\n    this._invoke = enqueue;\n  }\n\n  defineIteratorMethods(AsyncIterator.prototype);\n  AsyncIterator.prototype[asyncIteratorSymbol] = function () {\n    return this;\n  };\n  runtime.AsyncIterator = AsyncIterator;\n\n  // Note that simple async functions are implemented on top of\n  // AsyncIterator objects; they just return a Promise for the value of\n  // the final result produced by the iterator.\n  runtime.async = function(innerFn, outerFn, self, tryLocsList) {\n    var iter = new AsyncIterator(\n      wrap(innerFn, outerFn, self, tryLocsList)\n    );\n\n    return runtime.isGeneratorFunction(outerFn)\n      ? iter // If outerFn is a generator, return the full iterator.\n      : iter.next().then(function(result) {\n          return result.done ? result.value : iter.next();\n        });\n  };\n\n  function makeInvokeMethod(innerFn, self, context) {\n    var state = GenStateSuspendedStart;\n\n    return function invoke(method, arg) {\n      if (state === GenStateExecuting) {\n        throw new Error(\"Generator is already running\");\n      }\n\n      if (state === GenStateCompleted) {\n        if (method === \"throw\") {\n          throw arg;\n        }\n\n        // Be forgiving, per 25.3.3.3.3 of the spec:\n        // https://people.mozilla.org/~jorendorff/es6-draft.html#sec-generatorresume\n        return doneResult();\n      }\n\n      context.method = method;\n      context.arg = arg;\n\n      while (true) {\n        var delegate = context.delegate;\n        if (delegate) {\n          var delegateResult = maybeInvokeDelegate(delegate, context);\n          if (delegateResult) {\n            if (delegateResult === ContinueSentinel) continue;\n            return delegateResult;\n          }\n        }\n\n        if (context.method === \"next\") {\n          // Setting context._sent for legacy support of Babel's\n          // function.sent implementation.\n          context.sent = context._sent = context.arg;\n\n        } else if (context.method === \"throw\") {\n          if (state === GenStateSuspendedStart) {\n            state = GenStateCompleted;\n            throw context.arg;\n          }\n\n          context.dispatchException(context.arg);\n\n        } else if (context.method === \"return\") {\n          context.abrupt(\"return\", context.arg);\n        }\n\n        state = GenStateExecuting;\n\n        var record = tryCatch(innerFn, self, context);\n        if (record.type === \"normal\") {\n          // If an exception is thrown from innerFn, we leave state ===\n          // GenStateExecuting and loop back for another invocation.\n          state = context.done\n            ? GenStateCompleted\n            : GenStateSuspendedYield;\n\n          if (record.arg === ContinueSentinel) {\n            continue;\n          }\n\n          return {\n            value: record.arg,\n            done: context.done\n          };\n\n        } else if (record.type === \"throw\") {\n          state = GenStateCompleted;\n          // Dispatch the exception by looping back around to the\n          // context.dispatchException(context.arg) call above.\n          context.method = \"throw\";\n          context.arg = record.arg;\n        }\n      }\n    };\n  }\n\n  // Call delegate.iterator[context.method](context.arg) and handle the\n  // result, either by returning a { value, done } result from the\n  // delegate iterator, or by modifying context.method and context.arg,\n  // setting context.delegate to null, and returning the ContinueSentinel.\n  function maybeInvokeDelegate(delegate, context) {\n    var method = delegate.iterator[context.method];\n    if (method === undefined) {\n      // A .throw or .return when the delegate iterator has no .throw\n      // method always terminates the yield* loop.\n      context.delegate = null;\n\n      if (context.method === \"throw\") {\n        if (delegate.iterator.return) {\n          // If the delegate iterator has a return method, give it a\n          // chance to clean up.\n          context.method = \"return\";\n          context.arg = undefined;\n          maybeInvokeDelegate(delegate, context);\n\n          if (context.method === \"throw\") {\n            // If maybeInvokeDelegate(context) changed context.method from\n            // \"return\" to \"throw\", let that override the TypeError below.\n            return ContinueSentinel;\n          }\n        }\n\n        context.method = \"throw\";\n        context.arg = new TypeError(\n          \"The iterator does not provide a 'throw' method\");\n      }\n\n      return ContinueSentinel;\n    }\n\n    var record = tryCatch(method, delegate.iterator, context.arg);\n\n    if (record.type === \"throw\") {\n      context.method = \"throw\";\n      context.arg = record.arg;\n      context.delegate = null;\n      return ContinueSentinel;\n    }\n\n    var info = record.arg;\n\n    if (! info) {\n      context.method = \"throw\";\n      context.arg = new TypeError(\"iterator result is not an object\");\n      context.delegate = null;\n      return ContinueSentinel;\n    }\n\n    if (info.done) {\n      // Assign the result of the finished delegate to the temporary\n      // variable specified by delegate.resultName (see delegateYield).\n      context[delegate.resultName] = info.value;\n\n      // Resume execution at the desired location (see delegateYield).\n      context.next = delegate.nextLoc;\n\n      // If context.method was \"throw\" but the delegate handled the\n      // exception, let the outer generator proceed normally. If\n      // context.method was \"next\", forget context.arg since it has been\n      // \"consumed\" by the delegate iterator. If context.method was\n      // \"return\", allow the original .return call to continue in the\n      // outer generator.\n      if (context.method !== \"return\") {\n        context.method = \"next\";\n        context.arg = undefined;\n      }\n\n    } else {\n      // Re-yield the result returned by the delegate method.\n      return info;\n    }\n\n    // The delegate iterator is finished, so forget it and continue with\n    // the outer generator.\n    context.delegate = null;\n    return ContinueSentinel;\n  }\n\n  // Define Generator.prototype.{next,throw,return} in terms of the\n  // unified ._invoke helper method.\n  defineIteratorMethods(Gp);\n\n  Gp[toStringTagSymbol] = \"Generator\";\n\n  // A Generator should always return itself as the iterator object when the\n  // @@iterator function is called on it. Some browsers' implementations of the\n  // iterator prototype chain incorrectly implement this, causing the Generator\n  // object to not be returned from this call. This ensures that doesn't happen.\n  // See https://github.com/facebook/regenerator/issues/274 for more details.\n  Gp[iteratorSymbol] = function() {\n    return this;\n  };\n\n  Gp.toString = function() {\n    return \"[object Generator]\";\n  };\n\n  function pushTryEntry(locs) {\n    var entry = { tryLoc: locs[0] };\n\n    if (1 in locs) {\n      entry.catchLoc = locs[1];\n    }\n\n    if (2 in locs) {\n      entry.finallyLoc = locs[2];\n      entry.afterLoc = locs[3];\n    }\n\n    this.tryEntries.push(entry);\n  }\n\n  function resetTryEntry(entry) {\n    var record = entry.completion || {};\n    record.type = \"normal\";\n    delete record.arg;\n    entry.completion = record;\n  }\n\n  function Context(tryLocsList) {\n    // The root entry object (effectively a try statement without a catch\n    // or a finally block) gives us a place to store values thrown from\n    // locations where there is no enclosing try statement.\n    this.tryEntries = [{ tryLoc: \"root\" }];\n    tryLocsList.forEach(pushTryEntry, this);\n    this.reset(true);\n  }\n\n  runtime.keys = function(object) {\n    var keys = [];\n    for (var key in object) {\n      keys.push(key);\n    }\n    keys.reverse();\n\n    // Rather than returning an object with a next method, we keep\n    // things simple and return the next function itself.\n    return function next() {\n      while (keys.length) {\n        var key = keys.pop();\n        if (key in object) {\n          next.value = key;\n          next.done = false;\n          return next;\n        }\n      }\n\n      // To avoid creating an additional object, we just hang the .value\n      // and .done properties off the next function object itself. This\n      // also ensures that the minifier will not anonymize the function.\n      next.done = true;\n      return next;\n    };\n  };\n\n  function values(iterable) {\n    if (iterable) {\n      var iteratorMethod = iterable[iteratorSymbol];\n      if (iteratorMethod) {\n        return iteratorMethod.call(iterable);\n      }\n\n      if (typeof iterable.next === \"function\") {\n        return iterable;\n      }\n\n      if (!isNaN(iterable.length)) {\n        var i = -1, next = function next() {\n          while (++i < iterable.length) {\n            if (hasOwn.call(iterable, i)) {\n              next.value = iterable[i];\n              next.done = false;\n              return next;\n            }\n          }\n\n          next.value = undefined;\n          next.done = true;\n\n          return next;\n        };\n\n        return next.next = next;\n      }\n    }\n\n    // Return an iterator with no values.\n    return { next: doneResult };\n  }\n  runtime.values = values;\n\n  function doneResult() {\n    return { value: undefined, done: true };\n  }\n\n  Context.prototype = {\n    constructor: Context,\n\n    reset: function(skipTempReset) {\n      this.prev = 0;\n      this.next = 0;\n      // Resetting context._sent for legacy support of Babel's\n      // function.sent implementation.\n      this.sent = this._sent = undefined;\n      this.done = false;\n      this.delegate = null;\n\n      this.method = \"next\";\n      this.arg = undefined;\n\n      this.tryEntries.forEach(resetTryEntry);\n\n      if (!skipTempReset) {\n        for (var name in this) {\n          // Not sure about the optimal order of these conditions:\n          if (name.charAt(0) === \"t\" &&\n              hasOwn.call(this, name) &&\n              !isNaN(+name.slice(1))) {\n            this[name] = undefined;\n          }\n        }\n      }\n    },\n\n    stop: function() {\n      this.done = true;\n\n      var rootEntry = this.tryEntries[0];\n      var rootRecord = rootEntry.completion;\n      if (rootRecord.type === \"throw\") {\n        throw rootRecord.arg;\n      }\n\n      return this.rval;\n    },\n\n    dispatchException: function(exception) {\n      if (this.done) {\n        throw exception;\n      }\n\n      var context = this;\n      function handle(loc, caught) {\n        record.type = \"throw\";\n        record.arg = exception;\n        context.next = loc;\n\n        if (caught) {\n          // If the dispatched exception was caught by a catch block,\n          // then let that catch block handle the exception normally.\n          context.method = \"next\";\n          context.arg = undefined;\n        }\n\n        return !! caught;\n      }\n\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        var record = entry.completion;\n\n        if (entry.tryLoc === \"root\") {\n          // Exception thrown outside of any try block that could handle\n          // it, so set the completion value of the entire function to\n          // throw the exception.\n          return handle(\"end\");\n        }\n\n        if (entry.tryLoc <= this.prev) {\n          var hasCatch = hasOwn.call(entry, \"catchLoc\");\n          var hasFinally = hasOwn.call(entry, \"finallyLoc\");\n\n          if (hasCatch && hasFinally) {\n            if (this.prev < entry.catchLoc) {\n              return handle(entry.catchLoc, true);\n            } else if (this.prev < entry.finallyLoc) {\n              return handle(entry.finallyLoc);\n            }\n\n          } else if (hasCatch) {\n            if (this.prev < entry.catchLoc) {\n              return handle(entry.catchLoc, true);\n            }\n\n          } else if (hasFinally) {\n            if (this.prev < entry.finallyLoc) {\n              return handle(entry.finallyLoc);\n            }\n\n          } else {\n            throw new Error(\"try statement without catch or finally\");\n          }\n        }\n      }\n    },\n\n    abrupt: function(type, arg) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.tryLoc <= this.prev &&\n            hasOwn.call(entry, \"finallyLoc\") &&\n            this.prev < entry.finallyLoc) {\n          var finallyEntry = entry;\n          break;\n        }\n      }\n\n      if (finallyEntry &&\n          (type === \"break\" ||\n           type === \"continue\") &&\n          finallyEntry.tryLoc <= arg &&\n          arg <= finallyEntry.finallyLoc) {\n        // Ignore the finally entry if control is not jumping to a\n        // location outside the try/catch block.\n        finallyEntry = null;\n      }\n\n      var record = finallyEntry ? finallyEntry.completion : {};\n      record.type = type;\n      record.arg = arg;\n\n      if (finallyEntry) {\n        this.method = \"next\";\n        this.next = finallyEntry.finallyLoc;\n        return ContinueSentinel;\n      }\n\n      return this.complete(record);\n    },\n\n    complete: function(record, afterLoc) {\n      if (record.type === \"throw\") {\n        throw record.arg;\n      }\n\n      if (record.type === \"break\" ||\n          record.type === \"continue\") {\n        this.next = record.arg;\n      } else if (record.type === \"return\") {\n        this.rval = this.arg = record.arg;\n        this.method = \"return\";\n        this.next = \"end\";\n      } else if (record.type === \"normal\" && afterLoc) {\n        this.next = afterLoc;\n      }\n\n      return ContinueSentinel;\n    },\n\n    finish: function(finallyLoc) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.finallyLoc === finallyLoc) {\n          this.complete(entry.completion, entry.afterLoc);\n          resetTryEntry(entry);\n          return ContinueSentinel;\n        }\n      }\n    },\n\n    \"catch\": function(tryLoc) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.tryLoc === tryLoc) {\n          var record = entry.completion;\n          if (record.type === \"throw\") {\n            var thrown = record.arg;\n            resetTryEntry(entry);\n          }\n          return thrown;\n        }\n      }\n\n      // The context.catch method must only be called with a location\n      // argument that corresponds to a known catch block.\n      throw new Error(\"illegal catch attempt\");\n    },\n\n    delegateYield: function(iterable, resultName, nextLoc) {\n      this.delegate = {\n        iterator: values(iterable),\n        resultName: resultName,\n        nextLoc: nextLoc\n      };\n\n      if (this.method === \"next\") {\n        // Deliberately forget the last sent value so that we don't\n        // accidentally pass it on to the delegate.\n        this.arg = undefined;\n      }\n\n      return ContinueSentinel;\n    }\n  };\n})(\n  // Among the various tricks for obtaining a reference to the global\n  // object, this seems to be the most reliable technique that does not\n  // use indirect eval (which violates Content Security Policy).\n  typeof global === \"object\" ? global :\n  typeof window === \"object\" ? window :\n  typeof self === \"object\" ? self : this\n);\n","module.exports = function (regExp, replace) {\n  var replacer = replace === Object(replace) ? function (part) {\n    return replace[part];\n  } : replace;\n  return function (it) {\n    return String(it).replace(regExp, replacer);\n  };\n};\n","// https://github.com/benjamingr/RexExp.escape\nvar $export = require('./_export');\nvar $re = require('./_replacer')(/[\\\\^$*+?.()|[\\]{}]/g, '\\\\$&');\n\n$export($export.S, 'RegExp', { escape: function escape(it) { return $re(it); } });\n","require('../../modules/core.regexp.escape');\nmodule.exports = require('../../modules/_core').RegExp.escape;\n","\"use strict\";\n\nrequire(\"core-js/shim\");\n\nrequire(\"regenerator-runtime/runtime\");\n\nrequire(\"core-js/fn/regexp/escape\");\n\nif (global._babelPolyfill) {\n  throw new Error(\"only one instance of babel-polyfill is allowed\");\n}\nglobal._babelPolyfill = true;\n\nvar DEFINE_PROPERTY = \"defineProperty\";\nfunction define(O, key, value) {\n  O[key] || Object[DEFINE_PROPERTY](O, key, {\n    writable: true,\n    configurable: true,\n    value: value\n  });\n}\n\ndefine(String.prototype, \"padLeft\", \"\".padStart);\ndefine(String.prototype, \"padRight\", \"\".padEnd);\n\n\"pop,reverse,shift,keys,values,entries,indexOf,every,some,forEach,map,filter,find,findIndex,includes,join,slice,concat,push,splice,unshift,sort,lastIndexOf,reduce,reduceRight,copyWithin,fill\".split(\",\").forEach(function (key) {\n  [][key] && define(Array, key, Function.call.bind([][key]));\n});","export default class ScrollSpy {\n    constructor(args) {\n\n        this.doc = document;\n        this.nav = this.doc.querySelectorAll(args.navSelector);\n\n        if(!this.nav.length === 0) { return }\n\n        this.win = window;\n        this.winHeight = this.win.innerHeight;\n\n        this.scrollElement = this.doc.querySelector(args.scrollSelector);\n        this.className = args.className;\n        this.offsetTop = args.offsetTop || 0;\n\n        this.contents = [];\n        this.contents = this.getContents(args.contentSelector);\n\n        this.attachEvent();\n    }\n\n    attachEvent() {\n        let scrollTimer;\n        this.scrollElement.addEventListener('scroll', () => {\n            if (scrollTimer) {\n                clearTimeout(scrollTimer);\n            }\n\n            scrollTimer = setTimeout(() => {\n                this.spy();\n            }, 1);\n        });\n\n        let resizeTimer;\n        this.scrollElement.addEventListener('resize', () => {\n            if (resizeTimer) {\n                clearTimeout(resizeTimer);\n            }\n\n            resizeTimer = setTimeout(() => {\n                this.spy();\n            }, 1);\n        });\n\n        this.scrollElement.addEventListener(\"click\", (e) => {\n            const target = e.target;\n            if (target.tagName !== \"A\") return;\n            window.onclickToc = true;\n            for (let i = 0, max = this.nav.length; i < max; i++) {\n                const navElement = this.nav[i];\n                if (navElement.href === target.href) {\n                    navElement.classList.add(this.className);\n                    navElement.classList.add('mdl-color-text--primary');\n                } else {\n                    navElement.classList.remove(this.className);\n                    navElement.classList.remove('mdl-color-text--primary');\n                }\n            }\n        });\n    }\n\n    getContents(contentSelector) {\n        const targets = [];\n        for (let i = 0, max = this.nav.length; i < max; i++) {\n            const href = this.nav[i].href;\n            targets.push(this.doc.getElementById(href.split('#')[1]));\n        }\n        return targets;\n    }\n\n    spy() {\n        let elements = this.getViewState();\n        this.toggleNavClass(elements);\n    }\n\n    getViewState() {\n        const elementListInView = [];\n        for (let i = 0, max = this.contents.length; i < max; i++) {\n            const current = this.contents[i];\n            if (current && this.isView(current)) {\n                elementListInView.push(current);\n            }\n        }\n\n        return elementListInView;\n    }\n\n    isView(element) {\n        const scrollTop = this.scrollElement.scrollTop;\n        const subHeaderRect = document.querySelector(\".mdl-layout__header-row\").getBoundingClientRect();\n        const headerHeight = subHeaderRect.top + subHeaderRect.height;\n        const scrollBottom = scrollTop + window.innerHeight - headerHeight;\n        const rect = element.getBoundingClientRect();\n        const elementTop = rect.top + scrollTop;\n        const elementBottom = elementTop + element.offsetHeight;\n\n        return elementTop < scrollBottom - 30 && elementBottom > scrollTop + headerHeight + 30;\n    }\n\n    toggleNavClass(elements) {\n        if (window.onclickToc) {\n            window.onclickToc = false;\n            return;\n          }\n        let maxDepth = 0;\n        let maxDepthElement = $();\n\n        for (let i = 0, max = elements.length; i < max; i++) {\n            const el = elements[i];\n            const tempDepth = this.getTagDepth(el);\n            if (maxDepth < tempDepth) {\n                maxDepth = tempDepth;\n                maxDepthElement = el;\n            }\n        }\n\n        for (let i = 0, max = this.nav.length; i < max; i++) {\n            const navElement = this.nav[i];\n            if (navElement.href.split('#')[1] === maxDepthElement.id) {\n                navElement.classList.add(this.className);\n                navElement.classList.add('mdl-color-text--primary');\n            } else {\n                navElement.classList.remove(this.className);\n                navElement.classList.remove('mdl-color-text--primary');\n            }\n        }\n    }\n\n    getTagDepth(element) {\n        return parseInt($(element).find('h1,h2,h3,h4,h5,h6').get(0).tagName.split('H')[1]);\n    }\n}\n","import \"../scss/sphinx_materialdesign_theme.scss\";\r\nimport \"./feedback\";\r\nimport \"material-design-lite\";\r\nimport \"babel-polyfill\";\r\nimport ScrollSpy from \"./scrollspy\";\r\n\r\n$(function() {\r\n\r\n    function reconstructionDrawerGlobalToc() {\r\n        const $globaltoc = $('.mdl-layout__drawer nav');\r\n        const $lists = $globaltoc.find('li');\r\n        $.each($lists, function(index, li) {\r\n            const $li = $(li);\r\n            const $linkWrapper = $('<span class=\"link-wrapper\"></span>');\r\n            const $link = $li.children('a');\r\n            $li.append($linkWrapper.append($link));\r\n\r\n            const isCurrent = $li.hasClass('current') && !$link.hasClass('current');\r\n            const $ul = $li.children('ul');\r\n            if ($ul.length) {\r\n                const ulId = `globalnav-${index}`;\r\n                $ul.attr('id', ulId);\r\n                $ul.addClass('collapse');\r\n                const $toggleWrapper = $('<span class=\"nav-toggle\"></span>');\r\n                if (isCurrent) {\r\n                    $ul.addClass('show');\r\n                    $toggleWrapper.addClass('show');\r\n                } else {\r\n                    $ul.hide();\r\n                }\r\n\r\n                $li.append(\r\n                    $linkWrapper.append(\r\n                        $toggleWrapper.append(\r\n                            $(`<a class=\"mdl-button mdl-js-button mdl-button--icon\" data-toggle=\"#${ulId}\"><span style=\"color: #888\"><i class=\"material-icons\">keyboard_arrow_down</i></span></span>`)\r\n                        )\r\n                    )\r\n                ).append($ul);\r\n            }\r\n        });\r\n    }\r\n\r\n    function collapse() {\r\n        $('.mdl-layout__drawer nav .nav-toggle a').click(function() {\r\n            const $toggle = $(this);\r\n            const id = $toggle.attr('data-toggle');\r\n            $(`ul${id}`).toggleClass('show').animate({height: \"toggle\", opacity: \"toggle\"});\r\n            $toggle.parent().toggleClass('show');\r\n        });\r\n    }\r\n\r\n    function styleMdlCodeBlock() {\r\n        $('pre').hover(function() {\r\n            $(this).attr('click-to-copy', 'click to copy...');\r\n        });\r\n        $('pre').click(function(){\r\n            var result = copyClipboard(this);\r\n            if (result) {\r\n                $(this).attr('click-to-copy', 'copied!');\r\n            }\r\n        });\r\n    }\r\n\r\n    function copyClipboard(selector) {\r\n        var body = document.body;\r\n        if(!body) return false;\r\n\r\n        var $target = $(selector);\r\n        if ($target.length === 0) { return false; }\r\n\r\n        var text = $target.text();\r\n        var textarea = document.createElement('textarea');\r\n        textarea.value = text;\r\n        document.body.appendChild(textarea);\r\n        textarea.select();\r\n        var result = document.execCommand('copy');\r\n        document.body.removeChild(textarea);\r\n        return result;\r\n    }\r\n\r\n    function quickSearchClickEvent() {\r\n        const $breadcrumb = $('.breadcrumb');\r\n\r\n        $('#waterfall-exp').focus(() => {\r\n            if ($(window).width() <= 1024) {\r\n                $breadcrumb.hide();\r\n            }\r\n        }).blur(() => {\r\n            if ($(window).width() <= 1024) {\r\n                $breadcrumb.show();\r\n            }\r\n        });\r\n    }\r\n\r\n    // styleMdlCodeBlock();\r\n\r\n    reconstructionDrawerGlobalToc();\r\n    collapse();\r\n    quickSearchClickEvent();\r\n\r\n\r\n    const spy = new ScrollSpy({\r\n        contentSelector: '.page-content .section',\r\n        navSelector: '.localtoc a',\r\n        scrollSelector: 'main' ,\r\n        className: 'current',\r\n        offsetTop: 64});\r\n\r\n    $('.mdl-layout__content').focus();\r\n\r\n    $('.mx-card').each(function(){\r\n        $(this).addClass('mdl-card mdl-shadow--2dp');\r\n    });\r\n    $('.mx-card .mx-card-title').each(function(){\r\n        $(this).addClass('mdl-card__title');\r\n    });\r\n    $('.mx-card .mx-card-text').each(function(){\r\n        $(this).addClass('mdl-card__supporting-text');\r\n    });\r\n    $('.mx-card-link').each(function(){\r\n        $(this).hide();\r\n    });\r\n    $('.mdl-card').each(function(){\r\n        $(this).click(function() {\r\n            var url = $(this).find('.mx-card-link').text();\r\n            if (url) {\r\n                window.location = url;\r\n            }\r\n            return true;\r\n        });\r\n    });\r\n\r\n    $('a.download').each(function() {\r\n        // button\r\n        var button = document.createElement('button');\r\n        button.className = 'download mdl-button mdl-js-button mdl-button--fab mdl-js-ripple-effect';\r\n\r\n        // icon\r\n        var icon = document.createElement('i');\r\n        icon.className = 'material-icons';\r\n        var text = document.createTextNode('file_download');\r\n        icon.appendChild(text);\r\n        button.appendChild(icon);\r\n\r\n        // link\r\n        var link = $(this).attr('href');\r\n        button.onclick = function() {\r\n            window.location = link;\r\n        };\r\n        var fileName = link.split(\"/\").slice(-1).pop();\r\n        if (fileName) {\r\n            button.id = fileName.replace('.', '-');\r\n        } else {\r\n            button.id = 'download-button-' + $(this).index();\r\n        }\r\n\r\n        // hint\r\n        var hint = document.createElement('div');\r\n        hint.className = 'mdl-tooltip';\r\n        hint.setAttribute('data-mdl-for', button.id);\r\n        var hintText = $(this).find('span.pre').map(function() {\r\n            return $(this).text();\r\n        }).get().join(' ');\r\n        hint.innerHTML = hintText;\r\n\r\n        componentHandler.upgradeElement(button);\r\n        $(this).remove();\r\n        var header = $('.section h1').first();\r\n        header.append(button);\r\n        header.append(hint);\r\n    });\r\n\r\n    $('.mdl-layout').css('visibility', 'visible');\r\n\r\n});\r\n"]}
\ No newline at end of file
diff --git a/docs/python_docs/_static/feedback.js b/docs/python_docs/themes/mx-theme/src/js/feedback.js
similarity index 100%
rename from docs/python_docs/_static/feedback.js
rename to docs/python_docs/themes/mx-theme/src/js/feedback.js
diff --git a/docs/python_docs/themes/mx-theme/src/js/scrollspy.js b/docs/python_docs/themes/mx-theme/src/js/scrollspy.js
index cd4e798c6353..6e741c71a9a5 100644
--- a/docs/python_docs/themes/mx-theme/src/js/scrollspy.js
+++ b/docs/python_docs/themes/mx-theme/src/js/scrollspy.js
@@ -42,6 +42,21 @@ export default class ScrollSpy {
             }, 1);
         });
 
+        this.scrollElement.addEventListener("click", (e) => {
+            const target = e.target;
+            if (target.tagName !== "A") return;
+            window.onclickToc = true;
+            for (let i = 0, max = this.nav.length; i < max; i++) {
+                const navElement = this.nav[i];
+                if (navElement.href === target.href) {
+                    navElement.classList.add(this.className);
+                    navElement.classList.add('mdl-color-text--primary');
+                } else {
+                    navElement.classList.remove(this.className);
+                    navElement.classList.remove('mdl-color-text--primary');
+                }
+            }
+        });
     }
 
     getContents(contentSelector) {
@@ -72,15 +87,21 @@ export default class ScrollSpy {
 
     isView(element) {
         const scrollTop = this.scrollElement.scrollTop;
-        const calcBotom = scrollTop + this.offsetTop;
+        const subHeaderRect = document.querySelector(".mdl-layout__header-row").getBoundingClientRect();
+        const headerHeight = subHeaderRect.top + subHeaderRect.height;
+        const scrollBottom = scrollTop + window.innerHeight - headerHeight;
         const rect = element.getBoundingClientRect();
         const elementTop = rect.top + scrollTop;
         const elementBottom = elementTop + element.offsetHeight;
 
-        return elementTop <= calcBotom + this.offsetTop && elementBottom > scrollTop + this.offsetTop;
+        return elementTop < scrollBottom - 30 && elementBottom > scrollTop + headerHeight + 30;
     }
 
     toggleNavClass(elements) {
+        if (window.onclickToc) {
+            window.onclickToc = false;
+            return;
+          }
         let maxDepth = 0;
         let maxDepthElement = $();
 
diff --git a/docs/python_docs/themes/mx-theme/src/js/sphinx_materialdesign_theme.js b/docs/python_docs/themes/mx-theme/src/js/sphinx_materialdesign_theme.js
index 5f14255205f4..dad460755cde 100644
--- a/docs/python_docs/themes/mx-theme/src/js/sphinx_materialdesign_theme.js
+++ b/docs/python_docs/themes/mx-theme/src/js/sphinx_materialdesign_theme.js
@@ -1,8 +1,8 @@
 import "../scss/sphinx_materialdesign_theme.scss";
+import "./feedback";
 import "material-design-lite";
 import "babel-polyfill";
 import ScrollSpy from "./scrollspy";
-import AdjustHeight from "./adjust-height";
 
 $(function() {
 
diff --git a/docs/python_docs/themes/mx-theme/src/scss/_root.scss b/docs/python_docs/themes/mx-theme/src/scss/_root.scss
index f805a8fb8f0e..0cfa14572864 100644
--- a/docs/python_docs/themes/mx-theme/src/scss/_root.scss
+++ b/docs/python_docs/themes/mx-theme/src/scss/_root.scss
@@ -14,6 +14,20 @@ body {
     outline: none;
  }
 
+.mdl-layout__content header.mdl-layout__drawer {
+    display: none;
+}
+
+.mdl-layout--fixed-drawer>.mdl-layout__content {
+    margin-left: 300px;    
+}
+
+@media screen and (max-width: 1024px) {
+    .mdl-layout--fixed-drawer>.mdl-layout__content {
+        margin-left:0
+    }
+}
+
 h1, h2, h3, h4, h5, h6, blockquote, span.mdl-layout-title,
 a.download > code.download {
     font-family: $body_font_family;
diff --git a/docs/python_docs/themes/mx-theme/src/scss/footer/_footer.scss b/docs/python_docs/themes/mx-theme/src/scss/footer/_footer.scss
index eee96cb39528..5ce4768e22dd 100644
--- a/docs/python_docs/themes/mx-theme/src/scss/footer/_footer.scss
+++ b/docs/python_docs/themes/mx-theme/src/scss/footer/_footer.scss
@@ -119,6 +119,8 @@ footer.mdl-mini-footer {
   border-top: 1px solid $grey-color-light;
   padding: $spacing-unit 0;
   background-color: #424242;
+  position: relative;
+  z-index: 10;
   .footer-category-title {
     color: $color-mxnet;
   }
@@ -136,6 +138,8 @@ footer.mdl-mini-footer {
   background-color: #424242;
   padding-top: 40px;
   padding-bottom: 10px;
+  position: relative;
+  z-index: 10;
 }
 
 .footer-heading {
diff --git a/docs/python_docs/themes/mx-theme/src/scss/grid/_simplegrid.scss b/docs/python_docs/themes/mx-theme/src/scss/grid/_simplegrid.scss
index c4155950c031..c99c05639c6f 100644
--- a/docs/python_docs/themes/mx-theme/src/scss/grid/_simplegrid.scss
+++ b/docs/python_docs/themes/mx-theme/src/scss/grid/_simplegrid.scss
@@ -59,15 +59,6 @@ $breakpoint-large: 60em; // 960px
   width: 100%;
   margin-left: auto;
   margin-right: auto;
-
-  @media only screen and (min-width: $breakpoint-small) {
-    width: 80%;
-  }
-
-  @media only screen and (min-width: $breakpoint-large) {
-    width: 75%;
-    max-width: 60rem;
-  }
 }
 
 .row {
diff --git a/docs/python_docs/themes/mx-theme/src/scss/layout/_layout.scss b/docs/python_docs/themes/mx-theme/src/scss/layout/_layout.scss
index 2654a2c1e72c..2e862e1bc4b1 100644
--- a/docs/python_docs/themes/mx-theme/src/scss/layout/_layout.scss
+++ b/docs/python_docs/themes/mx-theme/src/scss/layout/_layout.scss
@@ -4,7 +4,7 @@
  $layout: (
     document: (
         xl: (
-            width: 1400px,
+            width: 100%,
         )
     ),
     drawer-container: (
@@ -65,6 +65,7 @@
             overflow-x: auto;
             overflow-y: auto;
             width: inherit;
+            right: 0px;
             &::-webkit-scrollbar {
                 width: 6px;
             }
diff --git a/docs/static_site/src/.htaccess b/docs/static_site/src/.htaccess
index 2cf7300946be..d8467ab2142e 100644
--- a/docs/static_site/src/.htaccess
+++ b/docs/static_site/src/.htaccess
@@ -22,14 +22,11 @@ RewriteOptions AllowNoSlash
   
 </IfModule>
 
-# TODO temporary fix for issue #18604
-Redirect 302 /api/r/docs/api/R-package/build/mxnet-r-reference-manual.pdf https://mxnet-public.s3.us-east-2.amazonaws.com/docs/v1.x/mxnet-r-reference-manual.pdf
-Redirect 302 /api/scala/docs/api/ /versions/1.6/api/scala/docs/api/
-Redirect 302 /api/java/docs/api/ /versions/1.6/api/java/docs/api/
-Redirect 302 /api/clojure/docs/api/ /versions/1.6/api/clojure/docs/api/
-Redirect 302 /api/cpp/docs/api/ /versions/1.6/api/cpp/docs/api/
-Redirect 302 /api/julia/docs/api/ /versions/1.6/api/julia/docs/api/
-Redirect 302 /api/julia/docs/api/#tutorials /versions/1.6/api/julia/docs/api/#tutorials
+# Set default website version to current stable (v1.6)
+RewriteCond %{REQUEST_URI} !^/versions/
+RewriteCond %{HTTP_REFERER} !mxnet.apache.org
+RewriteCond %{HTTP_REFERER} !mxnet.incubator.apache.org
+RewriteRule ^(.*)$ /versions/1.6/$1 [r=307,L]
 
 # Redirect Chinese visitors to Chinese CDN, temporary solution for slow site speed in China
 RewriteCond %{ENV:GEOIP_COUNTRY_CODE} ^CN$
diff --git a/docs/static_site/src/_sass/minima/_docs.scss b/docs/static_site/src/_sass/minima/_docs.scss
index f628740862ae..85e4c12c081e 100644
--- a/docs/static_site/src/_sass/minima/_docs.scss
+++ b/docs/static_site/src/_sass/minima/_docs.scss
@@ -85,3 +85,13 @@
   padding-top: 20px;
   padding-bottom: 20px;
 }
+
+.language-binding-banner {
+  border: 1px solid transparent;
+  border-radius: .25rem;
+  color: #856404;
+  padding: .75rem 1.25rem;
+  margin-bottom: 1rem;
+  background-color: #fff3cd;
+  border-color: #ffeeba;
+}
diff --git a/docs/static_site/src/_sass/minima/_layout.scss b/docs/static_site/src/_sass/minima/_layout.scss
index 3a0a6d3e4e26..d7e8d494ddec 100644
--- a/docs/static_site/src/_sass/minima/_layout.scss
+++ b/docs/static_site/src/_sass/minima/_layout.scss
@@ -250,14 +250,14 @@
 
 .page-content {
   height: 100%;
-  padding: $spacing-unit 0, 0;
+  padding: $spacing-unit 0 0;
   flex: 1;
   margin-top: 100px;
 }
 
 .page-content-home {
   height: 100%;
-  padding: $spacing-unit 0, 0;
+  padding: $spacing-unit 0 0;
   margin-top: 100px;
 }
 
@@ -365,13 +365,7 @@
   }
 }
 
-#forum::before,
-#mxnet-dev-communications::before,
-#social-media::before,
-#jira::before,
-#confluence-wiki::before,
-#setup-mxnet-for-development::before,
-#your-first-contribution::before {
+:target::before {
   display: block;
   content: " ";
   margin-top: -86px;
diff --git a/docs/static_site/src/assets/js/copycode.js b/docs/static_site/src/assets/js/copycode.js
index 75c6483369e0..6bda2f293973 100644
--- a/docs/static_site/src/assets/js/copycode.js
+++ b/docs/static_site/src/assets/js/copycode.js
@@ -59,7 +59,7 @@ $(document).ready(function () {
   const cleanPrompt = function (line, prompts) {
     let res = line;
     for (let i = 0; i < prompts.length; i++) {
-      let reg = new RegExp("(?<=^\\s*)" + prompts[i]);
+      let reg = new RegExp("(?:^\\s*)" + prompts[i]);
       if (reg.test(res)) {
         res = res.replace(reg, "");
         break;
diff --git a/docs/static_site/src/pages/api/api.html b/docs/static_site/src/pages/api/api.html
index b055072c40c4..bd0d8bfaa510 100644
--- a/docs/static_site/src/pages/api/api.html
+++ b/docs/static_site/src/pages/api/api.html
@@ -21,55 +21,6 @@
   tutorial_link: /api/python/docs/tutorials
   icon: /assets/img/python_logo.svg
   tag: python
-- title: Scala
-  guide_link: /api/scala.html
-  api_link: /api/scala/docs/api
-  tutorial_link: /api/scala/docs/tutorials
-  description:
-  icon: /assets/img/scala_logo.svg
-  tag: scala
-- title: Java
-  guide_link: /api/java.html
-  api_link: /api/java/docs/api
-  tutorial_link: /api/java/docs/tutorials
-  description:
-  icon: /assets/img/java_logo.svg
-  tag: java
-- title: Clojure
-  guide_link: /api/clojure
-  api_link: /api/clojure/docs/api
-  tutorial_link: /api/clojure/docs/tutorials
-  description:
-  icon: /assets/img/clojure_logo.svg
-  tag: clojure
-- title: C/C++
-  guide_link: /api/cpp
-  api_link: /api/cpp/docs/api
-  tutorial_link: /api/cpp/docs/tutorials
-  description:
-  icon: /assets/img/cpp_logo.svg
-  tag: cpp
-- title: Julia
-  guide_link: /api/julia
-  api_link: /api/julia/docs/api
-  tutorial_link: /api/julia/docs/api/#tutorials
-  description:
-  icon: /assets/img/julia_logo.svg
-  tag: julia
-- title: R
-  guide_link: /api/r
-  api_link: /api/r/docs/api/R-package/build/mxnet-r-reference-manual.pdf
-  tutorial_link: /api/r/docs/tutorials
-  description:
-  icon: /assets/img/R_logo.svg
-  tag: r
-- title: Perl
-  guide_link: /api/perl
-  api_link: https://metacpan.org/release/AI-MXNet
-  tutorial_link: /api/perl/docs/tutorials
-  description:
-  icon: /assets/img/perl_logo.svg
-  tag: perl
 ---
 <!--- Licensed to the Apache Software Foundation (ASF) under one -->
 <!--- or more contributor license agreements.  See the NOTICE file -->
@@ -123,26 +74,11 @@ <h4>Python-first API</h4>
 {%- endfor -%}
 <h2>Other Bindings</h2>
 <div class="row">
-{%- for doc in page.docs -%}
-  {%- if doc.tag != 'python' -%}
-  <div class="col-4">
-      <div class="docs-card">
-          <div class="docs-logo-container">
-              <img class="docs-logo-image" src="{{doc.icon | relative_url}}">
-          </div>
-          <div class="docs-action-btn">
-            <a href="{{doc.guide_link | relative_url}}"> <img src="{{'assets/img/compass.svg' | relative_url}}" class="docs-logo-docs">{{doc.title}} Guide  <span class="span-accented">›</span></a>
-          </div>
-          <div class="docs-action-btn">
-            <a href="{{doc.tutorial_link | relative_url}}"> <img src="{{'assets/img/video-tutorial.svg' | relative_url}}" class="docs-logo-docs">{{doc.title}} Tutorials  <span class="span-accented">›</span></a>
-          </div>
-          <div class="docs-action-btn">
-            <a href="{{doc.api_link | relative_url}}"> <img src="{{'assets/img/api.svg' | relative_url}}" class="docs-logo-docs">{{doc.title}} API Reference  <span class="span-accented">›</span></a>
-          </div>
-      </div>
+  <div class="language-binding-banner">
+    <h4>Call for Contribution</h4>
+    The Clojure, Java, Julia, R, and Scala language bindings of <a href="/versions/{{site.versions[1]}}/api">MXNet v1.x</a> were removed in v2.x due to some <a href="https://github.com/apache/incubator-mxnet/issues/17676">C APIs being deprecated</a> and the bindings rely on the deprecated APIs. You can still use these language bindings in v1.x.
+    MXNet's new C APIs in v2.x can be used to reestablish your preferred language binding. Your contribution is welcome!
   </div>
-  {%- endif -%}
-{%- endfor -%}
 </div>
 </div> <!-- closing outer wrapper -->
 <div class="docs-architecture">
diff --git a/docs/static_site/src/pages/api/cpp/index.md b/docs/static_site/src/pages/api/cpp/index.md
index 3aff76b85337..2f834a763a12 100644
--- a/docs/static_site/src/pages/api/cpp/index.md
+++ b/docs/static_site/src/pages/api/cpp/index.md
@@ -41,12 +41,8 @@ The cpp-package directory contains the implementation of C++ API. As mentioned a
 	```
 
 3.  Install the [prerequisites](<https://mxnet.apache.org/get_started/build_from_source#prerequisites>), desired [BLAS libraries](<https://mxnet.apache.org/get_started/build_from_source#blas-library>) and optional [OpenCV, CUDA, and cuDNN](<https://mxnet.apache.org/get_started/build_from_source#optional>) for building MXNet from source.
-4.  There is a configuration file for make, [make/config.mk](<https://github.com/apache/incubator-mxnet/blob/master/make/config.mk>) that contains all the compilation options. You can edit this file and set the appropriate options prior to running the **make** command.
-5.  Please refer to  [platform specific build instructions](<https://mxnet.apache.org/get_started/build_from_source#build-instructions-by-operating-system>) and available [build configurations](https://mxnet.apache.org/get_started/build_from_source#build-configurations) for more details.
-5.  For enabling the build of C++ Package, set the **USE\_CPP\_PACKAGE = 1** in [make/config.mk](<https://github.com/apache/incubator-mxnet/blob/master/make/config.mk>). Optionally, the compilation flag can also be specified on **make** command line as follows.
-	```
-	make -j USE_CPP_PACKAGE=1
-	```
+4.  Please refer to  [platform specific build instructions](<https://mxnet.apache.org/get_started/build_from_source#build-instructions-by-operating-system>) and available [build configurations](https://mxnet.apache.org/get_started/build_from_source#build-configurations) for more details.
+5.  For enabling the build of C++ Package, set the **USE\_CPP\_PACKAGE = 1** in the config file.
 
 ## Usage
 
diff --git a/docs/static_site/src/pages/api/faq/caffe.md b/docs/static_site/src/pages/api/faq/caffe.md
deleted file mode 100644
index ba84b8b590be..000000000000
--- a/docs/static_site/src/pages/api/faq/caffe.md
+++ /dev/null
@@ -1,148 +0,0 @@
----
-layout: page_category
-title:  Convert from Caffe to MXNet
-category: faq
-faq_c: Deployment Environments
-question: How to convert a Caffe model to MXNet?
-permalink: /api/faq/caffe
----
-<!--- Licensed to the Apache Software Foundation (ASF) under one -->
-<!--- or more contributor license agreements.  See the NOTICE file -->
-<!--- distributed with this work for additional information -->
-<!--- regarding copyright ownership.  The ASF licenses this file -->
-<!--- to you under the Apache License, Version 2.0 (the -->
-<!--- "License"); you may not use this file except in compliance -->
-<!--- with the License.  You may obtain a copy of the License at -->
-
-<!---   http://www.apache.org/licenses/LICENSE-2.0 -->
-
-<!--- Unless required by applicable law or agreed to in writing, -->
-<!--- software distributed under the License is distributed on an -->
-<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
-<!--- KIND, either express or implied.  See the License for the -->
-<!--- specific language governing permissions and limitations -->
-<!--- under the License. -->
-# How to | Convert from Caffe to MXNet
-
-Key topics covered include the following:
-
-- [Calling Caffe operators in MXNet](#calling-caffe-operators-in-mxnet)
-
-## Calling Caffe operators in MXNet
-
-MXNet supports calling most Caffe operators,
-including network layer, data layer, and loss function, directly. It is
-particularly useful if there are customized operators implemented in Caffe, then
-we do not need to re-implement them in MXNet.
-
-### How to install
-
-This feature requires Caffe. In particular, we need to re-compile Caffe before
-[PR #4527](https://github.com/BVLC/caffe/pull/4527) is merged into Caffe. There
-are the steps of how to rebuild Caffe:
-
-1. Download [Caffe](https://github.com/BVLC/caffe). E.g. `git clone
-   https://github.com/BVLC/caffe`
-2. Download the
-   [patch for the MXNet interface](https://github.com/BVLC/caffe/pull/4527.patch)
-   and apply to Caffe. E.g.
-   ```bash
-   cd caffe && wget https://github.com/BVLC/caffe/pull/4527.patch && git apply 4527.patch
-   ```
-3. Build and install Caffe by following the
-   [official guide](https://caffe.berkeleyvision.org/installation.html).
-
-Next we need to compile MXNet with Caffe supports
-
-1. Copy `make/config.mk` (for Linux) or `make/osx.mk`
-   (for Mac) into the MXNet root folder as `config.mk` if you have not done it yet
-2. Open the copied `config.mk` and uncomment these two lines
-   ```bash
-   CAFFE_PATH = $(HOME)/caffe
-   MXNET_PLUGINS += plugin/caffe/caffe.mk
-   ```
-   Modify `CAFFE_PATH` to your Caffe installation, if necessary.
-3. Then build with 8 threads `make clean && make -j8`.
-
-### How to use
-
-This Caffe plugin adds three components into MXNet:
-
-- `sym.CaffeOp` : Caffe neural network layer
-- `sym.CaffeLoss` : Caffe loss functions
-- `io.CaffeDataIter` : Caffe data layer
-
-#### Use `sym.CaffeOp`
-The following example shows the definition of a 10 classes multi-layer perceptron:
-
-```Python
-data = mx.sym.Variable('data')
-fc1  = mx.sym.CaffeOp(data_0=data, num_weight=2, name='fc1', prototxt="layer{type:\"InnerProduct\" inner_product_param{num_output: 128} }")
-act1 = mx.sym.CaffeOp(data_0=fc1, prototxt="layer{type:\"TanH\"}")
-fc2  = mx.sym.CaffeOp(data_0=act1, num_weight=2, name='fc2', prototxt="layer{type:\"InnerProduct\" inner_product_param{num_output: 64} }")
-act2 = mx.sym.CaffeOp(data_0=fc2, prototxt="layer{type:\"TanH\"}")
-fc3 = mx.sym.CaffeOp(data_0=act2, num_weight=2, name='fc3', prototxt="layer{type:\"InnerProduct\" inner_product_param{num_output: 10}}")
-```
-
-Let's break it down. First, `data = mx.sym.Variable('data')` defines a variable
-as a placeholder for input.  Then, it's fed through Caffe operators with `fc1 =
-mx.sym.CaffeOp(...)`. `CaffeOp` accepts several arguments:
-
-- The inputs to Caffe operators are named as `data_i` for *i=0, ..., num_data-1*
-- `num_data` is the number of inputs. In default it is 1, and therefore
-skipped in the above example.
-- `num_out` is the number of outputs. In default it is 1 and also skipped.
-- `num_weight` is the number of weights (`blobs_`).  Its default value is 0. We
-need to explicitly specify it for a non-zero value.
-- `prototxt` is the protobuf configuration string.
-
-#### Use `sym.CaffeLoss`
-
-Using Caffe loss is similar.
-We can replace the MXNet loss with Caffe loss.
-We can replace
-
-Replacing the last line of the above example with the following two lines we can
-call Caffe loss instead of MXNet loss.
-
-```Python
-label = mx.sym.Variable('softmax_label')
-mlp = mx.sym.CaffeLoss(data=fc3, label=label, grad_scale=1, name='softmax', prototxt="layer{type:\"SoftmaxWithLoss\"}")
-```
-
-Similar to `CaffeOp`, `CaffeLoss` has arguments `num_data` (2 in default) and
-`num_out` (1 in default). But there are two differences
-
-1. Inputs are `data` and `label`. And we need to explicitly create a variable
-   placeholder for label, which is implicitly done in MXNet loss.
-2. `grad_scale` is the weight of this loss.
-
-#### Use `io.CaffeDataIter`
-
-We can also wrap a Caffe data layer into MXNet's data iterator. Below is an
-example for creating a data iterator for MNIST
-
-```python
-train = mx.io.CaffeDataIter(
-    prototxt =
-    'layer { \
-        name: "mnist" \
-        type: "Data" \
-        top: "data" \
-        top: "label" \
-        include { \
-            phase: TEST \
-        } \
-        transform_param { \
-            scale: 0.00390625 \
-        } \
-        data_param { \
-            source: "caffe/examples/mnist/mnist_test_lmdb" \
-            batch_size: 100 \
-            backend: LMDB \
-        } \
-    }',
-    flat           = flat,
-    num_examples   = 60000,
-)
-```
diff --git a/docs/static_site/src/pages/api/faq/cloud.md b/docs/static_site/src/pages/api/faq/cloud.md
index 480773515c49..2a5837b017eb 100644
--- a/docs/static_site/src/pages/api/faq/cloud.md
+++ b/docs/static_site/src/pages/api/faq/cloud.md
@@ -66,15 +66,9 @@ unzip mnist.zip && s3cmd put t*-ubyte s3://dmlc/mnist/
 ```
 
 ### Use Pre-installed EC2 GPU Instance
-The [Deep Learning AMI](https://aws.amazon.com/marketplace/pp/B01M0AXXQB?qid=1475211685369&sr=0-1&ref_=srh_res_product_title) is an Amazon Linux image
-supported and maintained by Amazon Web Services for use on Amazon Elastic Compute Cloud (Amazon EC2).
-It contains [MXNet-v0.9.3 tag](https://github.com/apache/incubator-mxnet) and the necessary components to get going with deep learning,
-including Nvidia drivers, CUDA, cuDNN, Anaconda, Python2 and Python3.   
-The AMI IDs are the following:
-
-* us-east-1: ami-e7c96af1
-* us-west-2: ami-dfb13ebf
-* eu-west-1: ami-6e5d6808
+The [Deep Learning AMIs](https://aws.amazon.com/marketplace/search/results?x=0&y=0&searchTerms=Deep+Learning+AMI)
+are a series of images supported and maintained by Amazon Web Services for use
+on Amazon Elastic Compute Cloud (Amazon EC2) and contain the latest MXNet release.
 
 Now you can launch _MXNet_ directly on an EC2 GPU instance.  
 You can also use [Jupyter](https://jupyter.org) notebook on EC2 machine.
@@ -83,69 +77,19 @@ on how to connect to a Jupyter notebook running on an EC2 instance.
 
 ### Set Up an EC2 GPU Instance from Scratch
 
-_MXNet_ requires the following libraries:
-
-- C++ compiler with C++11 support, such as `gcc >= 4.8`
-- `CUDA` (`CUDNN` in optional) for GPU linear algebra
-- `BLAS` (cblas, open-blas, atblas, mkl, or others) for CPU linear algebra
-- `opencv` for image augmentations
-- `curl` and `openssl` for the ability to read/write to Amazon S3
-
-Installing `CUDA` on EC2 instances requires some effort. Caffe has a good
-[tutorial](https://github.com/BVLC/caffe/wiki/Install-Caffe-on-EC2-from-scratch-(Ubuntu,-CUDA-7,-cuDNN-3))
-on how to install CUDA 7.0 on Ubuntu 14.04.
-
-***Note:*** We tried CUDA 7.5 on Nov 7, 2015, but found it problematic.
-
-You can install the rest using the package manager. For example, on Ubuntu:
-
-```
-sudo apt-get update
-sudo apt-get install -y build-essential git libcurl4-openssl-dev libatlas-base-dev libopencv-dev python-numpy
-```
-
-The Amazon Machine Image (AMI) [ami-12fd8178](https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-12fd8178) has the  packages listed above installed.
-
-
-### Build and Run MXNet on a GPU Instance
-
-The following commands build _MXNet_ with CUDA/CUDNN, Amazon S3, and distributed
-training.
-
-```bash
-git clone --recursive https://github.com/dmlc/mxnet
-cd mxnet; cp make/config.mk .
-echo "USE_CUDA=1" >>config.mk
-echo "USE_CUDA_PATH=/usr/local/cuda" >>config.mk
-echo "USE_CUDNN=1" >>config.mk
-echo "USE_BLAS=atlas" >> config.mk
-echo "USE_DIST_KVSTORE = 1" >>config.mk
-echo "USE_S3=1" >>config.mk
-make -j$(nproc)
-```
-
-To test whether everything is installed properly, we can try training a convolutional neural network (CNN) on the MNIST dataset using a GPU:
-
-```bash
-python example/image-classification/train_mnist.py
-```
-
-If you've placed the MNIST data on `s3://dmlc/mnist`, you can read the data stored on Amazon S3 directly with the following command:
-
-```bash
-sed -i.bak "s!data_dir = 'data'!data_dir = 's3://dmlc/mnist'!" example/image-classification/train_mnist.py
-```
-
-***Note:*** You can use `sudo ln /dev/null /dev/raw1394` to fix the opencv error `libdc1394 error: Failed to initialize libdc1394`.
+[Deep Learning Base AMIs](https://aws.amazon.com/marketplace/search/results?x=0&y=0&searchTerms=Deep+Learning+Base+AMI)
+provide a foundational image with NVIDIA CUDA, cuDNN, GPU drivers, Intel
+MKL-DNN, Docker and Nvidia-Docker, etc. for deploying your own custom deep
+learning environment. You may follow the [MXNet Build From Source
+instructions](<https://mxnet.apache.org/get_started/build_from_source easily on
+the Deep Learning Base AMIs.
 
 ### Set Up an EC2 GPU Cluster for Distributed Training
 
 A cluster consists of multiple computers.
 You can use one computer with _MXNet_ installed as the root computer for submitting jobs,and then launch several
 slave computers to run the jobs. For example, launch multiple instances using an
-AMI, e.g.,
-[ami-12fd8178](https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-12fd8178),
-with dependencies installed. There are two options:
+AMI with dependencies installed. There are two options:
 
 - Make all slaves' ports accessible (same for the root) by setting type: All TCP,
    Source: Anywhere in Configure Security Group.
diff --git a/docs/static_site/src/pages/api/faq/env_var.md b/docs/static_site/src/pages/api/faq/env_var.md
index b7c9dd66bf4b..55e5f38ffa59 100644
--- a/docs/static_site/src/pages/api/faq/env_var.md
+++ b/docs/static_site/src/pages/api/faq/env_var.md
@@ -59,9 +59,6 @@ $env:MXNET_STORAGE_FALLBACK_LOG_VERBOSE=0
 * MXNET_CPU_PRIORITY_NTHREADS
   - Values: Int ```(default=4)```
   - The number of threads given to prioritized CPU jobs.
-* MXNET_CPU_NNPACK_NTHREADS
-  - Values: Int ```(default=4)```
-  - The number of threads used for NNPACK. NNPACK package aims to provide high-performance implementations of some layers for multi-core CPUs. Checkout [NNPACK]({{'/api/faq/nnpack'|relative_url}}) to know more about it.
 * MXNET_MP_WORKER_NTHREADS
   - Values: Int ```(default=1)```
   - The number of scheduling threads on CPU given to multiprocess workers. Enlarge this number allows more operators to run in parallel in individual workers but please consider reducing the overall `num_workers` to avoid thread contention (not available on Windows).
@@ -85,28 +82,67 @@ $env:MXNET_STORAGE_FALLBACK_LOG_VERBOSE=0
   - Setting this to a small number can save GPU memory. It will also likely decrease the level of parallelism, which is usually acceptable.
     - MXNet internally uses graph coloring algorithm to [optimize memory consumption]({{'/api/architecture/note_memory'|relative_url}}).
   - This parameter is also used to get number of matching colors in graph and in turn how much parallelism one can get in each GPU. Color based match usually costs more memory but also enables more parallelism.
+* MXNET_GPU_MEM_POOL_TYPE
+  - Values: String ```(default=Naive)```
+  - The type of GPU memory pool.
+  - Choices:
+    - *Naive*: A simple memory pool that allocates memory for the requested size and cache memory buffers, when this memory is released. The size of memory chunk is defined by rounding the requested memory size to the nearest bigger multiple of MXNET_GPU_MEM_POOL_PAGE_SIZE (or MXNET_GPU_MEM_LARGE_ALLOC_ROUND_SIZE, when the result of rounding for MXNET_GPU_MEM_POOL_PAGE_SIZE is bigger than MXNET_GPU_MEM_LARGE_ALLOC_ROUND_SIZE) and allocates memory of the rounded size.
+    - *Round*: A memory pool that try to rounds the requested memory size to the nearest bigger power of 2. When this rounded number is bigger that 2**MXNET_GPU_MEM_POOL_ROUND_LINEAR_CUTOFF, the *Naive* rounding algorithm is used. Caching and allocating buffered memory works in the same way as the naive memory pool.
+    - *Unpooled*: No memory pool is used.
 * MXNET_GPU_MEM_POOL_RESERVE
   - Values: Int ```(default=5)```
   - The percentage of GPU memory to reserve for things other than the GPU array, such as kernel launch or cudnn handle space.
+  - The value is used only by the GPU memory pool. If it is not possible to allocate new memory AND still save this reserve, the memory pool will free the cached memory.
   - If you see a strange out-of-memory error from the kernel launch, after multiple iterations, try setting this to a larger value.
-
-* MXNET_GPU_MEM_POOL_TYPE
+* MXNET_GPU_MEM_LARGE_ALLOC_ROUND_SIZE
+  - Values: Int ```(default=2097152)```
+  - When the rounded size of memory allocations calculated by the pool of *Naive* type is larger than this threshold, it will be rounded up to a multiple of this value.
+  - The default was chosen to minimize global memory fragmentation within the GPU driver. Set this to 1 to disable.
+* MXNET_GPU_MEM_POOL_ROUND_LINEAR_CUTOFF
+  - Values: Int ```(default=24)```
+  - The cutoff threshold used by *Round* strategy. Let's denote the threshold as T. If the memory size is smaller than `2 ** T` (by default, it's 2 ** 24 = 16MB), it rounds to the smallest `2 ** n` that is larger than the requested memory size; if the memory size is larger than `2 ** T`, it rounds to the next k * 2 ** T.
+* MXNET_CPU_MEM_POOL_TYPE
   - Values: String ```(default=Naive)```
-  - The type of memory pool.
+  - The type of CPU memory pool.
   - Choices:
-    - Naive: A simple memory pool that allocates memory for the exact requested size and cache memory buffers. If a buffered memory chunk matches the size of a new request, the chunk from the memory pool will be returned and reused.
-    - Round: A memory pool that always rounds the requested memory size and allocates memory of the rounded size. MXNET_GPU_MEM_POOL_ROUND_LINEAR_CUTOFF defines how to round up a memory size. Caching and allocating buffered memory works in the same way as the naive memory pool.
-    - Unpooled: No memory pool is used.
-
-* MXNET_GPU_MEM_POOL_ROUND_LINEAR_CUTOFF
+    - *Naive*: A simple memory pool that allocates memory for the requested size and cache memory buffers, when this memory is released. The size of memory chunk is defined by rounding the requested memory size to the nearest bigger multiple of MXNET_CPU_MEM_POOL_PAGE_SIZE (or MXNET_CPU_MEM_LARGE_ALLOC_ROUND_SIZE, when the result of rounding for MXNET_CPU_MEM_POOL_PAGE_SIZE is bigger than MXNET_CPU_MEM_LARGE_ALLOC_ROUND_SIZE) and allocates memory of the rounded size.
+    - *Round*: A memory pool that try to rounds the requested memory size to the nearest bigger power of 2. When this rounded number is bigger that 2**MXNET_CPU_MEM_POOL_ROUND_LINEAR_CUTOFF, the the *Naive* rounding algorithm is used. Caching and allocating buffered memory works in the same way as the naive memory pool.
+    - *Unpooled*: No memory pool is used.
+* MXNET_CPU_MEM_POOL_RESERVE
+  - Values: Int ```(default=5)```
+  - The percentage of CPU memory to reserve for things other than the CPU array.
+  - The value is used only by the CPU memory pool. If it is not possible to allocate new memory AND still save this reserve, the memory pool will free the cached memory.
+  - If you see a strange out-of-memory error from the kernel launch, after multiple iterations, try setting this to a larger value.
+* MXNET_CPU_MEM_LARGE_ALLOC_ROUND_SIZE
+  - Values: Int ```(default=2097152)```
+  - When the rounded size of memory allocations calculated by the pool of *Naive* type is larger than this threshold, it will be rounded up to a multiple of this value.
+  - Set this to 1 to disable.
+* MXNET_CPU_MEM_POOL_ROUND_LINEAR_CUTOFF
   - Values: Int ```(default=24)```
-  - The cutoff threshold that decides the rounding strategy. Let's denote the threshold as T. If the memory size is smaller than `2 ** T` (by default, it's 2 ** 24 = 16MB), it rounds to the smallest `2 ** n` that is larger than the requested memory size; if the memory size is larger than `2 ** T`, it rounds to the next k * 2 ** T.
-
-* MXNET_GPU_MEM_LARGE_ALLOC_ROUND_SIZE
+  - The cutoff threshold used by *Round* strategy. Let's denote the threshold as T. If the memory size is smaller than `2 ** T` (by default, it's 2 ** 24 = 16MB), it rounds to the smallest `2 ** n` that is larger than the requested memory size; if the memory size is larger than `2 ** T`, it rounds to the next k * 2 ** T.
+* MXNET_CPU_PINNED_MEM_POOL_TYPE
+  - Values: String ```(default=Naive)```
+  - The type of CPU_PINNED memory pool.
+  - Choices:
+    - *Naive*: A simple memory pool that allocates memory for the requested size and cache memory buffers, when this memory is released. The size of memory chunk is defined by rounding the requested memory size to the nearest bigger multiple of MXNET_CPU_PINNED_MEM_POOL_PAGE_SIZE (or MXNET_CPU_PINNED_MEM_LARGE_ALLOC_ROUND_SIZE, when the result of rounding for MXNET_CPU_PINNED_MEM_POOL_PAGE_SIZE is bigger than MXNET_CPU_PINNED_MEM_LARGE_ALLOC_ROUND_SIZE) and allocates memory of the rounded size.
+    - *Round*: A memory pool that try to rounds the requested memory size to the nearest bigger power of 2. When this rounded number is bigger that 2**MXNET_CPU_PINNED_MEM_POOL_ROUND_LINEAR_CUTOFF, the the *Naive* rounding algorithm is used. Caching and allocating buffered memory works in the same way as the naive memory pool.
+    - *Unpooled*: No memory pool is used.
+* MXNET_CPU_PINNED_MEM_POOL_RESERVE
+  - Values: Int ```(default=5)```
+  - The percentage of GPU memory to reserve for things other than the GPU array.
+  - The value is used only by the CPU memory pool. If it is not possible to allocate new memory AND still save this reserve, the memory pool will free the cached memory.
+  - If you see a strange out-of-memory error from the kernel launch, after multiple iterations, try setting this to a larger value.
+* MXNET_CPU_PINNED_MEM_LARGE_ALLOC_ROUND_SIZE
   - Values: Int ```(default=2097152)```
-  - When using the naive pool type, memory allocations larger than this threshhold are rounded up to a multiple of this value.
-  - The default was chosen to minimize global memory fragmentation within the GPU driver.  Set this to 1 to disable.
-
+  - When the rounded size of memory allocations calculated by the pool of *Naive* type is larger than this threshold, it will be rounded up to a multiple of this value.
+  - Set this to 1 to disable.
+* MXNET_CPU_PINNED_MEM_POOL_ROUND_LINEAR_CUTOFF
+  - Values: Int ```(default=24)```
+  - The cutoff threshold used by *Round* strategy. Let's denote the threshold as T. If the memory size is smaller than `2 ** T` (by default, it's 2 ** 24 = 16MB), it rounds to the smallest `2 ** n` that is larger than the requested memory size; if the memory size is larger than `2 ** T`, it rounds to the next k * 2 ** T.
+* MXNET_USE_NAIVE_STORAGE_MANAGERS
+  - Values: Int ```(default=0)```
+  - When value is not 0, no memory pools will be used for any of the following three types of memory: GPU, CPU, CPU_PINNED.
+   
 ## Engine Type
 
 * MXNET_ENGINE_TYPE
diff --git a/docs/static_site/src/pages/api/faq/nnpack.md b/docs/static_site/src/pages/api/faq/nnpack.md
deleted file mode 100644
index 84bedee6052c..000000000000
--- a/docs/static_site/src/pages/api/faq/nnpack.md
+++ /dev/null
@@ -1,162 +0,0 @@
----
-layout: page_category
-title: NNPACK for Multi-Core CPU Support in MXNet
-category: faq
-faq_c: Speed
-question: Can I use nnpack to improve the CPU performance of MXNet?
-permalink: /api/faq/nnpack
----
-<!--- Licensed to the Apache Software Foundation (ASF) under one -->
-<!--- or more contributor license agreements.  See the NOTICE file -->
-<!--- distributed with this work for additional information -->
-<!--- regarding copyright ownership.  The ASF licenses this file -->
-<!--- to you under the Apache License, Version 2.0 (the -->
-<!--- "License"); you may not use this file except in compliance -->
-<!--- with the License.  You may obtain a copy of the License at -->
-
-<!---   http://www.apache.org/licenses/LICENSE-2.0 -->
-
-<!--- Unless required by applicable law or agreed to in writing, -->
-<!--- software distributed under the License is distributed on an -->
-<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
-<!--- KIND, either express or implied.  See the License for the -->
-<!--- specific language governing permissions and limitations -->
-<!--- under the License. -->
-
-### NNPACK for Multi-Core CPU Support in MXNet
-[NNPACK](https://github.com/Maratyszcza/NNPACK) is an acceleration package
-for neural network computations, which can run on x86-64, ARMv7, or ARM64 architecture CPUs.
-Using NNPACK, higher-level libraries like _MXNet_ can speed up
-the execution on multi-core CPU computers, including laptops and mobile devices.
-
-_MXNet_ supports NNPACK for forward propagation (inference only) in convolution, max-pooling, and fully-connected layers.
-In this document, we give a high level overview of how to use NNPACK with _MXNet_.
-
-
-### Conditions
-The underlying implementation of NNPACK utilizes several acceleration methods,
-including [fft](https://arxiv.org/abs/1312.5851) and [winograd](https://arxiv.org/abs/1509.09308).
-These algorithms work better on some special `batch size`, `kernel size`, and `stride` settings than on other,
-so depending on the context, not all convolution, max-pooling, or fully-connected layers can be powered by NNPACK.
-When favorable conditions for running NNPACKS are not met,
-_MXNet_ will fall back to the default implementation automatically.
-
-NNPACK only supports Linux and OS X systems. Windows is not supported at present.
-The following table explains under which conditions NNPACK will work.
-
-| operation      | conditions |
-|:---------      |:---------- |
-|convolution     |2d convolution `and` no-bias=False `and` dilate=(1,1) `and` num_group=1 `and` batch-size = 1 or batch-size > 1 && stride = (1,1);|
-|pooling         | max-pooling `and` kernel=(2,2) `and` stride=(2,2) `and` pooling_convention=full    |
-|fully-connected| without any restrictions |
-
-### Build/Install NNPACK with MXNet
-
-If the trained model meets some conditions of using NNPACK,
-you can build MXNet with NNPACK support.
-Follow these simple steps:
-* Build NNPACK shared library with the following commands. _MXNet_ will link NNPACK dynamically.
-
-Note: The following NNPACK installation instructions have been tested on Ubuntu 14.04 and 16.04.
-
-```bash
-# Install Pip
-$ sudo apt-get update
-$ sudo apt-get install -y python-pip
-$ sudo pip install --upgrade pip
-
-# Install Peach
-$ git clone https://github.com/Maratyszcza/PeachPy.git
-$ cd PeachPy
-$ sudo pip install --upgrade -r requirements.txt
-$ python setup.py generate
-$ sudo pip install --upgrade .
-
-# Install Ninja Build System
-$ sudo apt-get install ninja-build
-$ pip install ninja-syntax
-
-# Build NNPack shared library
-$ cd ~
-$ git clone --recursive https://github.com/Maratyszcza/NNPACK.git
-$ cd NNPACK
-# Latest NNPACK do not support building NNPACK as shared library using --enable-shared flag
-# Reset to commit that supports it.
-$ git reset --hard 9c6747d7b80051b40e6f92d6828e2ed997529cd2
-$ git submodule init && git submodule update --recursive
-$ python ./configure.py --enable-shared
-$ ninja
-$ cd ~
-
-```
-
-* Set lib path of NNPACK as the environment variable, e.g. `export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$YOUR_NNPACK_INSTALL_PATH/lib`
-* Add the include file of NNPACK and its third-party to  `ADD_CFLAGS` in config.mk, e.g. `ADD_CFLAGS = -I$(YOUR_NNPACK_INSTALL_PATH)/include/ -I$(YOUR_NNPACK_INSTALL_PATH)/third-party/pthreadpool/include/`
-* Set `USE_NNPACK = 1` in config.mk.
-* Build MXNet from source following the [install guide]({{'/get_started'|relative_url}}).
-
-### NNPACK Performance
-
-Though not all convolutional, pooling, and fully-connected layers can make full use of NNPACK,
-for some popular models it provides significant speedups. These include the most popular image recognition networks: Alexnet, VGG, and Inception-bn.
-
-To benchmark NNPACK, we use `example/image-classification/benchmark_score.py`(changed with  more range of batch-size). We use CPU e5-2670, MXNET_CPU_NNPACK_NTHREADS=4.
-
-build MXNet without NNPACK, the log is:
-```
-INFO:root:network: alexnet
-INFO:root:device: cpu(0)
-INFO:root:batch size  1, image/sec: 6.389429
-INFO:root:batch size  2, image/sec: 7.961457
-INFO:root:batch size  4, image/sec: 8.950112
-INFO:root:batch size  8, image/sec: 9.578176
-INFO:root:batch size 16, image/sec: 9.701248
-INFO:root:batch size 32, image/sec: 9.839940
-INFO:root:batch size 64, image/sec: 10.075369
-INFO:root:batch size 128, image/sec: 10.053556
-INFO:root:batch size 256, image/sec: 9.972228
-INFO:root:network: vgg
-INFO:root:device: cpu(0)
-INFO:root:batch size  1, image/sec: 1.223822
-INFO:root:batch size  2, image/sec: 1.322814
-INFO:root:batch size  4, image/sec: 1.383586
-INFO:root:batch size  8, image/sec: 1.402376
-INFO:root:batch size 16, image/sec: 1.415972
-INFO:root:batch size 32, image/sec: 1.428377
-INFO:root:batch size 64, image/sec: 1.443987
-INFO:root:batch size 128, image/sec: 1.427531
-INFO:root:batch size 256, image/sec: 1.435279
-```
-
-build MXNet with NNPACK, log is:
-
-```
-INFO:root:network: alexnet
-INFO:root:device: cpu(0)
-INFO:root:batch size  1, image/sec: 19.027215
-INFO:root:batch size  2, image/sec: 12.879975
-INFO:root:batch size  4, image/sec: 17.424076
-INFO:root:batch size  8, image/sec: 21.283966
-INFO:root:batch size 16, image/sec: 24.469325
-INFO:root:batch size 32, image/sec: 25.910348
-INFO:root:batch size 64, image/sec: 27.441672
-INFO:root:batch size 128, image/sec: 28.009156
-INFO:root:batch size 256, image/sec: 28.918950
-INFO:root:network: vgg
-INFO:root:device: cpu(0)
-INFO:root:batch size  1, image/sec: 3.980907
-INFO:root:batch size  2, image/sec: 2.392069
-INFO:root:batch size  4, image/sec: 3.610553
-INFO:root:batch size  8, image/sec: 4.994450
-INFO:root:batch size 16, image/sec: 6.396612
-INFO:root:batch size 32, image/sec: 7.614288
-INFO:root:batch size 64, image/sec: 8.826084
-INFO:root:batch size 128, image/sec: 9.193653
-INFO:root:batch size 256, image/sec: 9.991472
-```
-
-The results show that NNPACK can confer a speedup of about 2X~7X as compared to the original _MXNet_ CPU implementation.
-
-### Tips
-
-NNPACK aims to provide high-performance implementations of some layers for multi-core CPUs, so you can easily set the thread number by changing the environmental variable `MXNET_CPU_NNPACK_NTHREADS`. However, we found that the performance is not proportional to the number of threads, and suggest using 4~8 threads when using NNPACK.
diff --git a/docs/static_site/src/pages/api/faq/s3_integration.md b/docs/static_site/src/pages/api/faq/s3_integration.md
index de617e452211..6c8ca9768ba0 100644
--- a/docs/static_site/src/pages/api/faq/s3_integration.md
+++ b/docs/static_site/src/pages/api/faq/s3_integration.md
@@ -44,10 +44,7 @@ Following are detailed instructions on how to use data from S3 for training.
 Follow instructions [here]({{'/get_started'|relative_url}}) to install MXNet from source with the following additional steps to enable S3 integration.
 
 1. Install `libcurl4-openssl-dev` and `libssl-dev` before building MXNet. These packages are required to read/write from AWS S3.
-2. Append `USE_S3=1` to `config.mk` before building MXNet.
-    ```
-    echo "USE_S3=1" >> config.mk
-    ```
+2. Set `USE_S3=1` in the configuration file.
 
 ## Step 2: Configure S3 authentication tokens
 
diff --git a/example/extensions/lib_custom_op/gemm_lib.cc b/example/extensions/lib_custom_op/gemm_lib.cc
index 4f8dabadc6a1..764ac49d9942 100644
--- a/example/extensions/lib_custom_op/gemm_lib.cc
+++ b/example/extensions/lib_custom_op/gemm_lib.cc
@@ -24,6 +24,7 @@
  */
 
 #include <iostream>
+#include <utility>
 #include "lib_api.h"
 
 // main matrix multiplication routine
@@ -179,23 +180,23 @@ REGISTER_OP(my_gemm)
 class MyStatefulGemm : public CustomStatefulOp {
  public:
   explicit MyStatefulGemm(int count,
-                          const std::unordered_map<std::string, std::string>& attrs)
-    : count(count), attrs_(attrs) {}
+                          std::unordered_map<std::string, std::string>  attrs)
+    : count(count), attrs_(std::move(attrs)) {}
 
   MXReturnValue Forward(std::vector<MXTensor>* inputs,
                         std::vector<MXTensor>* outputs,
-                        const OpResource& op_res) {
+                        const OpResource& op_res) override {
     std::cout << "Info: keyword + number of forward: " << ++count << std::endl;
     return forward(attrs_, inputs, outputs, op_res);
   }
 
   MXReturnValue Backward(std::vector<MXTensor>* inputs,
                          std::vector<MXTensor>* outputs,
-                         const OpResource& op_res) {
+                         const OpResource& op_res) override {
     return backward(attrs_, inputs, outputs, op_res);
   }
 
-  ~MyStatefulGemm() {}
+  ~MyStatefulGemm() = default;
 
  private:
   int count;
diff --git a/example/extensions/lib_custom_op/transposecsr_lib.cc b/example/extensions/lib_custom_op/transposecsr_lib.cc
index 224cd6aa81b6..fc80751e47be 100644
--- a/example/extensions/lib_custom_op/transposecsr_lib.cc
+++ b/example/extensions/lib_custom_op/transposecsr_lib.cc
@@ -24,6 +24,7 @@
  */
 
 #include <iostream>
+#include <utility>
 #include "lib_api.h"
 
 void transpose(MXTensor& src, MXTensor& dst, const OpResource& res) {
@@ -151,19 +152,19 @@ REGISTER_OP(my_transposecsr)
 class MyStatefulTransposeCSR : public CustomStatefulOp {
   public:
     explicit MyStatefulTransposeCSR(int count,
-                                    const std::unordered_map<std::string, std::string>& attrs)
-      : count(count), attrs_(attrs) {}
+                                    std::unordered_map<std::string, std::string>  attrs)
+      : count(count), attrs_(std::move(attrs)) {}
 
     MXReturnValue Forward(std::vector<MXTensor>* inputs,
                           std::vector<MXTensor>* outputs,
-                          const OpResource& op_res) {
+                          const OpResource& op_res) override {
       std::cout << "Info: keyword + number of forward: " << ++count << std::endl;
       return forward(attrs_, inputs, outputs, op_res);
     }
 
     MXReturnValue Backward(std::vector<MXTensor>* inputs,
                            std::vector<MXTensor>* outputs,
-                           const OpResource& op_res) {
+                           const OpResource& op_res) override {
       return backward(attrs_, inputs, outputs, op_res);
     }
 
diff --git a/example/extensions/lib_custom_op/transposerowsp_lib.cc b/example/extensions/lib_custom_op/transposerowsp_lib.cc
index 46d3c4d41a4c..5b6f0f394dc9 100644
--- a/example/extensions/lib_custom_op/transposerowsp_lib.cc
+++ b/example/extensions/lib_custom_op/transposerowsp_lib.cc
@@ -24,6 +24,7 @@
  */
 
 #include <iostream>
+#include <utility>
 #include "lib_api.h"
 
 void transpose(MXTensor& src, MXTensor& dst, const OpResource& res) {
@@ -153,19 +154,19 @@ REGISTER_OP(my_transposerowsp)
 class MyStatefulTransposeRowSP : public CustomStatefulOp {
   public:
     explicit MyStatefulTransposeRowSP(int count,
-                                      const std::unordered_map<std::string, std::string>& attrs)
-      : count(count), attrs_(attrs) {}
+                                      std::unordered_map<std::string, std::string>  attrs)
+      : count(count), attrs_(std::move(attrs)) {}
 
     MXReturnValue Forward(std::vector<MXTensor>* inputs,
                           std::vector<MXTensor>* outputs,
-                          const OpResource& op_res) {
+                          const OpResource& op_res) override {
       std::cout << "Info: keyword + number of forward: " << ++count << std::endl;
       return forward(attrs_, inputs, outputs, op_res);
     }
 
     MXReturnValue Backward(std::vector<MXTensor>* inputs,
                            std::vector<MXTensor>* outputs,
-                           const OpResource& op_res) {
+                           const OpResource& op_res) override {
       return backward(attrs_, inputs, outputs, op_res);
     }
 
diff --git a/example/extensions/lib_pass/pass_lib.cc b/example/extensions/lib_pass/pass_lib.cc
index bbdcd73a7a0b..ca77b59bfa06 100644
--- a/example/extensions/lib_pass/pass_lib.cc
+++ b/example/extensions/lib_pass/pass_lib.cc
@@ -23,7 +23,7 @@
  * \brief subgraph operator implementation library file
  */
 
-#include <math.h>
+#include <cmath>
 #include <iostream>
 #include <algorithm>
 #include "lib_api.h"
@@ -67,8 +67,7 @@ MXReturnValue jsonPass(const std::string& in_graph, const std::string** out_grap
   JsonVal nodes = json_val.map[JsonVal("nodes")];
 
   // loop over nodes
-  for(int i=0; i<nodes.list.size(); i++) {
-    JsonVal node = nodes.list[i];
+  for(auto node : nodes.list) {
     // get the op name
     std::string op = node.map[JsonVal("op")].str;
     // get node ID inputs to op
diff --git a/example/extensions/lib_subgraph/subgraph_lib.cc b/example/extensions/lib_subgraph/subgraph_lib.cc
index 28442078ebe6..82684ba73e60 100644
--- a/example/extensions/lib_subgraph/subgraph_lib.cc
+++ b/example/extensions/lib_subgraph/subgraph_lib.cc
@@ -23,9 +23,10 @@
  * \brief subgraph operator implementation library file
  */
 
-#include <math.h>
+#include <cmath>
 #include <iostream>
 #include <algorithm>
+#include <utility>
 #include "lib_api.h"
 
 /* function to execute log operator on floats */
@@ -69,8 +70,7 @@ MXReturnValue myExecutor(std::vector<MXTensor>* inputs,
   std::vector<void*> to_free;
 
   // loop over nodes
-  for(int i=0; i<nodes.list.size(); i++) {
-    JsonVal node = nodes.list[i];
+  for(auto node : nodes.list) {
     // get the op name
     std::string op = node.map[JsonVal("op")].str;
     // get node ID inputs to op
@@ -84,7 +84,7 @@ MXReturnValue myExecutor(std::vector<MXTensor>* inputs,
       // get input tensor based on node ID inputs from data storage
       MXTensor &input = data[node_inputs.list[0].list[0].num];
       // create temporary storage
-      MXTensor tmp(malloc(input.size()*4), input.shape, input.dtype, 0, MXContext::CPU(0), kDefaultStorage);
+      MXTensor tmp(malloc(input.size()*4), input.shape, input.dtype, 0, MXContext::CPU(0), kDefaultStorage);  // NOLINT
       // save allocated ptr to free later
       to_free.push_back(tmp.data_ptr);
       // execute log operator
@@ -95,7 +95,7 @@ MXReturnValue myExecutor(std::vector<MXTensor>* inputs,
       // get input tensor based on node ID inputs from data storage
       MXTensor &input = data[node_inputs.list[0].list[0].num];
       // create temporary storage
-      MXTensor tmp(malloc(input.size()*4), input.shape, input.dtype, 0, MXContext::CPU(0), kDefaultStorage);
+      MXTensor tmp(malloc(input.size()*4), input.shape, input.dtype, 0, MXContext::CPU(0), kDefaultStorage);  // NOLINT
       // save allocated ptr to free later
       to_free.push_back(tmp.data_ptr);
       // execute exp operator 
@@ -106,7 +106,7 @@ MXReturnValue myExecutor(std::vector<MXTensor>* inputs,
       std::cout << "Error! Unsupported op '" << op << "' found in myExecutor";
       // free allocated temporary storage
       for (void* ptr : to_free)
-        free(ptr);
+        free(ptr);  // NOLINT
       return MX_FAIL;
     }
   }
@@ -129,7 +129,7 @@ MXReturnValue myExecutor(std::vector<MXTensor>* inputs,
 
   // free allocated temporary storage
   for (void* ptr : to_free) {
-    free(ptr);
+    free(ptr);  // NOLINT
   }
   
   return MX_SUCCESS;
@@ -137,9 +137,9 @@ MXReturnValue myExecutor(std::vector<MXTensor>* inputs,
 
 class MyStatefulOp : public CustomStatefulOp {
  public:
-  explicit MyStatefulOp(const std::string& sym,
+  explicit MyStatefulOp(std::string  sym,
                         const std::unordered_map<std::string, std::string>& attrs)
-    : subgraph_sym(sym), attrs_(attrs) {
+    : subgraph_sym(std::move(sym)), attrs_(attrs) {
     for (auto kv : attrs) {
       std::cout << "subgraphOp attributes: " << kv.first << " ==> " << kv.second << std::endl;
     }
@@ -147,7 +147,7 @@ class MyStatefulOp : public CustomStatefulOp {
 
   MXReturnValue Forward(std::vector<MXTensor>* inputs,
                         std::vector<MXTensor>* outputs,
-                        const OpResource& op_res) {
+                        const OpResource& op_res) override {
     return myExecutor(inputs, outputs, subgraph_sym);
   }
 
@@ -299,20 +299,20 @@ class MySelector : public CustomOpSelector {
     }
     return false;
   }
-  virtual bool Select(int nodeID) {
+  bool Select(int nodeID) override {
     return chooseNode(nodeID);
   }
-  virtual bool SelectInput(int nodeID, int input_nodeID) {
+  bool SelectInput(int nodeID, int input_nodeID) override {
     return chooseNode(input_nodeID);
   }
-  virtual bool SelectOutput(int nodeID, int output_nodeID) {
+  bool SelectOutput(int nodeID, int output_nodeID) override {
     return chooseNode(output_nodeID);
   }
   virtual void Filter(std::vector<int>& candidates,
                       std::vector<int>& keep) {
     keep.insert(keep.end(), candidates.begin(), candidates.end());
   }
-  virtual void Reset() {}
+  void Reset() override {}
  private:
   std::string graph_json;
   JsonVal nodes;
diff --git a/example/profiler/profiler_matmul.py b/example/profiler/profiler_matmul.py
index 6b92bcc21ec0..7fe43c84b1bb 100644
--- a/example/profiler/profiler_matmul.py
+++ b/example/profiler/profiler_matmul.py
@@ -52,10 +52,10 @@ def parse_args():
     print("execution begin")
     for i in range(args.iter_num):
         if i == args.begin_profiling_iter:
-            t0 = time.clock()
+            t0 = time.process_time()
             mx.profiler.set_state('run')
         if i == args.end_profiling_iter:
-            t1 = time.clock()
+            t1 = time.process_time()
             mx.profiler.set_state('stop')
         executor.forward()
         c = executor.outputs[0]
diff --git a/include/mxnet/c_api.h b/include/mxnet/c_api.h
index 153d8c2c8520..04d863991b48 100644
--- a/include/mxnet/c_api.h
+++ b/include/mxnet/c_api.h
@@ -1748,6 +1748,14 @@ MXNET_DLL int MXSymbolGetNumOutputs(SymbolHandle symbol,
  */
 MXNET_DLL int MXSymbolGetInternals(SymbolHandle symbol,
                                    SymbolHandle *out);
+/*!
+ * \brief Get a symbol that contains all the inputs.
+ * \param symbol The symbol
+ * \param out The output symbol whose outputs are all the internals.
+ * \return 0 when success, -1 when failure happens
+ */
+MXNET_DLL int MXSymbolGetInputs(SymbolHandle symbol,
+                                SymbolHandle *out);
 /*!
  * \brief Get a symbol that contains only direct children.
  * \param symbol The symbol
@@ -2235,6 +2243,25 @@ MXNET_DLL int MXGenAtomicSymbolFromSymbol(SymbolHandle sym_handle, SymbolHandle
  * \param num_options number of key value pairs
  * \param keys keys for options
  * \param vals values corresponding to keys
+ * \param num_input_shapes number of input shapes
+ * \param input_shape_names names of the input shapes
+ * \param input_shape_data pointer to the contiguous data shapes
+ * \param input_shape_idx array of per shape starting idx, the shape length for the i-th input shape
+ * is calculate as input_shape_idx[i+1] - input_shape_idx[i]
+ * \param num_input_dtypes number of input data types
+ * \param input_dtype_names array of names of the input data types
+ * \param input_dtypes array of values of the input data types
+ * \param num_input_stypesnumber of input storage types
+ * \param input_stype_names array of names of the input storage types
+ * \param input_stypes array of values of input storage types
+ * \param skip_infer if the optimization should skip the attribute inferences
+ * (to use if the backend does not require shape inference)
+ * \param new_args_cnt pointer a number to store the number of new args
+ * \param new_args_handle pointer on array to store the new args handles
+ * \param new_arg_names_handle pointer on array to store the new args names
+ * \param new_aux_cnt pointer a number to store the number of new aux
+ * \param new_aux_handle pointer on array to store the new aux handles
+ * \param new_aux_names_handle pointer on array to store the new aux names
  */
 MXNET_DLL int MXOptimizeForBackend(SymbolHandle sym_handle,
                                    const char* backend_name,
@@ -2247,6 +2274,17 @@ MXNET_DLL int MXOptimizeForBackend(SymbolHandle sym_handle,
                                    const mx_uint num_options,
                                    const char** keys,
                                    const char** vals,
+                                   const uint32_t num_input_shapes,
+                                   const char** input_shape_names,
+                                   const int64_t* input_shape_data,
+                                   const uint32_t* input_shape_idx,
+                                   const uint32_t num_input_dtypes,
+                                   const char** input_dtype_names,
+                                   const int* input_dtypes,
+                                   const uint32_t num_input_stypes,
+                                   const char** input_stype_names,
+                                   const int* input_stypes,
+                                   bool skip_infer,
                                    int* new_args_cnt,
                                    NDArrayHandle** new_args_handle,
                                    char*** new_arg_names_handle,
diff --git a/include/mxnet/c_api_test.h b/include/mxnet/c_api_test.h
index b7ba0cef04a3..df7079842657 100644
--- a/include/mxnet/c_api_test.h
+++ b/include/mxnet/c_api_test.h
@@ -75,6 +75,22 @@ MXNET_DLL int MXRemoveSubgraphPropertyOpNames(const char* prop_name);
 MXNET_DLL int MXRemoveSubgraphPropertyOpNamesV2(const char* prop_name);
 
 
+/*!
+ * \brief Get the value of an environment variable as seen by the backend.
+ * \param name The name of the environment variable
+ * \param value The returned value of the environment variable
+ */
+MXNET_DLL int MXGetEnv(const char* name,
+                       const char** value);
+
+/*!
+ * \brief Set the value of an environment variable from the backend.
+ * \param name The name of the environment variable
+ * \param value The desired value to set the environment variable `name`
+ */
+MXNET_DLL int MXSetEnv(const char* name,
+                       const char* value);
+
 #ifdef __cplusplus
 }
 #endif  // __cplusplus
diff --git a/include/mxnet/libinfo.h b/include/mxnet/libinfo.h
index ade1c731afcf..dd7790059de1 100644
--- a/include/mxnet/libinfo.h
+++ b/include/mxnet/libinfo.h
@@ -115,10 +115,6 @@
 #define MXNET_USE_F16C MSHADOW_USE_F16C
 #endif
 
-#ifndef MXNET_USE_CAFFE
-#define MXNET_USE_CAFFE 0
-#endif
-
 #ifndef MXNET_USE_DIST_KVSTORE
 #define MXNET_USE_DIST_KVSTORE 0
 #endif
@@ -183,9 +179,7 @@ enum : unsigned {
   OPENCV,
 
   // Misc
-  CAFFE,
   DIST_KVSTORE,
-  CXX14,
   INT64_TENSOR_SIZE,
 
   // Signal handler to print stack traces on exceptions
diff --git a/make/config.mk b/make/config.mk
deleted file mode 100644
index 3d8e974a31c1..000000000000
--- a/make/config.mk
+++ /dev/null
@@ -1,248 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-#-------------------------------------------------------------------------------
-#  Template configuration for compiling mxnet
-#
-#  If you want to change the configuration, please use the following steps.
-#  Assume you are on the root directory of mxnet. First copy this file so that
-#  any local changes will be ignored by git
-#
-#  $ cp make/config.mk .
-#
-#  Next modify the according entries, and then compile by
-#
-#  $ make
-#
-#  or build in parallel with 8 threads
-#
-#  $ make -j8
-#-------------------------------------------------------------------------------
-
-#---------------------
-# choice of compiler
-#--------------------
-
-ifndef CC
-export CC = gcc
-endif
-ifndef CXX
-export CXX = g++
-endif
-ifndef NVCC
-export NVCC = nvcc
-endif
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# whether to turn on segfault signal handler to log the stack trace
-USE_SIGNAL_HANDLER =
-
-# the additional link flags you want to add
-ADD_LDFLAGS =
-
-# the additional compile flags you want to add
-ADD_CFLAGS =
-
-# whether to build operators written in TVM
-USE_TVM_OP = 0
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# whether use CUDA during compile
-USE_CUDA = 0
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-USE_CUDA_PATH = NONE
-
-# whether to enable CUDA runtime compilation
-ENABLE_CUDA_RTC = 1
-
-# whether use CuDNN R3 library
-USE_CUDNN = 0
-
-# whether to use NVTX when profiling
-USE_NVTX = 0
-
-#whether to use NCCL library
-USE_NCCL = 0
-#add the path to NCCL library
-USE_NCCL_PATH = NONE
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-#whether use libjpeg-turbo for image decode without OpenCV wrapper
-USE_LIBJPEG_TURBO = 0
-#add the path to libjpeg-turbo library
-USE_LIBJPEG_TURBO_PATH = NONE
-
-# use openmp for parallelization
-USE_OPENMP = 1
-
-# whether use MKL-DNN library: 0 = disabled, 1 = enabled
-# if USE_MKLDNN is not defined, MKL-DNN will be enabled by default on x86 Linux.
-# you can disable it explicity with USE_MKLDNN = 0
-USE_MKLDNN =
-
-# whether use NNPACK library
-USE_NNPACK = 0
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-# in default use atlas for linux while apple for osx
-UNAME_S := $(shell uname -s)
-ifeq ($(UNAME_S), Darwin)
-USE_BLAS = apple
-else
-USE_BLAS = atlas
-endif
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# path to lapack library in case of a non-standard installation
-USE_LAPACK_PATH =
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-# If use MKL only for BLAS, choose static link automatically to allow python wrapper
-ifeq ($(USE_BLAS), mkl)
-USE_STATIC_MKL = 1
-else
-USE_STATIC_MKL = NONE
-endif
-
-#----------------------------
-# Settings for power and arm arch
-#----------------------------
-ARCH := $(shell uname -a)
-ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64))
-	USE_SSE=0
-	USE_F16C=0
-else
-	USE_SSE=1
-endif
-
-#----------------------------
-# F16C instruction support for faster arithmetic of fp16 on CPU
-#----------------------------
-# For distributed training with fp16, this helps even if training on GPUs
-# If left empty, checks CPU support and turns it on.
-# For cross compilation, please check support for F16C on target device and turn off if necessary.
-USE_F16C =
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 0
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 0
-
-#----------------------------
-# performance settings
-#----------------------------
-# Use operator tuning
-USE_OPERATOR_TUNING = 1
-
-# Use gperftools if found
-# Disable because of #8968
-USE_GPERFTOOLS = 0
-
-# path to gperftools (tcmalloc) library in case of a non-standard installation
-USE_GPERFTOOLS_PATH =
-
-# Link gperftools statically
-USE_GPERFTOOLS_STATIC =
-
-# Use JEMalloc if found, and not using gperftools
-USE_JEMALLOC = 0
-
-# path to jemalloc library in case of a non-standard installation
-USE_JEMALLOC_PATH =
-
-# Link jemalloc statically
-USE_JEMALLOC_STATIC =
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-#----------------------------
-# other features
-#----------------------------
-
-# Create C++ interface package
-USE_CPP_PACKAGE = 0
-
-# Use int64_t type to represent the total number of elements in a tensor
-# This will cause performance degradation reported in issue #14496
-# Set to 1 for large tensor with tensor size greater than INT32_MAX i.e. 2147483647
-# Note: the size of each dimension is still bounded by INT32_MAX
-USE_INT64_TENSOR_SIZE = 0
-
-# Python executable. Needed for cython target
-PYTHON = python
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use caffe integration. This requires installing caffe.
-# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
-# CAFFE_PATH = $(HOME)/caffe
-# MXNET_PLUGINS += plugin/caffe/caffe.mk
-
-# WARPCTC_PATH = $(HOME)/warp-ctc
-# MXNET_PLUGINS += plugin/warpctc/warpctc.mk
-
-# whether to use sframe integration. This requires build sframe
-# git@github.com:dato-code/SFrame.git
-# SFRAME_PATH = $(HOME)/SFrame
-# MXNET_PLUGINS += plugin/sframe/plugin.mk
diff --git a/make/config/libmxnet.sym b/make/config/libmxnet.sym
deleted file mode 100644
index df81f6861666..000000000000
--- a/make/config/libmxnet.sym
+++ /dev/null
@@ -1,10 +0,0 @@
-*MX*
-*NN*
-*mx*
-*nn*
-Java_org_apache_mxnet*
-*NDArray*
-*Engine*Get*
-*Storage*Get*
-*on_enter_api*
-*on_exit_api*
diff --git a/make/config/libmxnet.ver b/make/config/libmxnet.ver
deleted file mode 100644
index 0a9f8e67db69..000000000000
--- a/make/config/libmxnet.ver
+++ /dev/null
@@ -1,14 +0,0 @@
-{
-    global:
-        *NN*;
-        *MX*;
-        *nn*;
-        *mx*;
-        Java_org_apache_mxnet*;
-        *NDArray*;
-        *Engine*Get*;
-        *Storage*Get*;
-        *on_enter_api*;
-        *on_exit_api*;
-    local: *;
-};
diff --git a/make/config_jetson.mk b/make/config_jetson.mk
deleted file mode 100644
index 7de6eff7b6b5..000000000000
--- a/make/config_jetson.mk
+++ /dev/null
@@ -1,219 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-#-------------------------------------------------------------------------------
-#  Template configuration for compiling mxnet
-#
-#  If you want to change the configuration, please use the following
-#  steps. Assume you are on the root directory of mxnet. First copy the this
-#  file so that any local changes will be ignored by git
-#
-#  $ cp make/config.mk .
-#
-#  Next modify the according entries, and then compile by
-#
-#  $ make
-#
-#  or build in parallel with 8 threads
-#
-#  $ make -j8
-#-------------------------------------------------------------------------------
-
-#---------------------
-# For cross compilation we only explictily set a compiler when one is not already present.
-#--------------------
-
-ifndef CC
-export CC = gcc
-endif
-ifndef CXX
-export CXX = g++
-endif
-ifndef NVCC
-export NVCC = nvcc
-endif
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# whether to turn on segfault signal handler to log the stack trace
-USE_SIGNAL_HANDLER = 1
-
-# the additional link flags you want to add
-ADD_LDFLAGS = -L${CROSS_ROOT}/lib -L/usr/lib/aarch64-linux-gnu/
-
-# the additional compile flags you want to add
-ADD_CFLAGS = -I${CROSS_ROOT}/include -I/usr/include/aarch64-linux-gnu/
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# whether use CUDA during compile
-USE_CUDA = 1
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-USE_CUDA_PATH = /usr/local/cuda
-
-# CUDA_ARCH setting
-CUDA_ARCH = -gencode arch=compute_53,code=sm_53 -gencode arch=compute_62,code=sm_62 -gencode arch=compute_72,code=sm_72
-
-# whether to enable CUDA runtime compilation
-ENABLE_CUDA_RTC = 0
-
-# whether use CuDNN R3 library
-USE_CUDNN = 1
-
-#whether to use NCCL library
-USE_NCCL = 0
-#add the path to NCCL library
-USE_NCCL_PATH = NONE
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-#whether use libjpeg-turbo for image decode without OpenCV wrapper
-USE_LIBJPEG_TURBO = 0
-#add the path to libjpeg-turbo library
-USE_LIBJPEG_TURBO_PATH = NONE
-
-# use openmp for parallelization
-USE_OPENMP = 1
-
-# whether use MKL-DNN library
-USE_MKLDNN = 0
-
-# whether use NNPACK library
-USE_NNPACK = 0
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-# in default use atlas for linux while apple for osx
-UNAME_S := $(shell uname -s)
-USE_BLAS = openblas
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# path to lapack library in case of a non-standard installation
-USE_LAPACK_PATH =
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-# If use MKL only for BLAS, choose static link automatically to allow python wrapper
-ifeq ($(USE_BLAS), mkl)
-USE_STATIC_MKL = 1
-else
-USE_STATIC_MKL = NONE
-endif
-
-#----------------------------
-# Settings for power and arm arch
-#----------------------------
-USE_SSE=0
-
-# Turn off F16C instruction set support
-USE_F16C=0
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 0
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 0
-
-#----------------------------
-# performance settings
-#----------------------------
-# Use operator tuning
-USE_OPERATOR_TUNING = 1
-
-# Use gperftools if found
-# Disable because of #8968
-USE_GPERFTOOLS = 0
-
-# path to gperftools (tcmalloc) library in case of a non-standard installation
-USE_GPERFTOOLS_PATH =
-
-# Use JEMalloc if found, and not using gperftools
-USE_JEMALLOC = 1
-
-# path to jemalloc library in case of a non-standard installation
-USE_JEMALLOC_PATH =
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-#----------------------------
-# other features
-#----------------------------
-
-# Create C++ interface package
-USE_CPP_PACKAGE = 0
-
-# Use int64_t type to represent the total number of elements in the tensor
-# This will cause performance degradation reported in issue #14496
-# Set to 1 for large tensor with tensor size greater than INT32_MAX i.e. 2147483647
-# Note: the size of each dimension is still bounded by INT32_MAX
-USE_INT64_TENSOR_SIZE = 0
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use caffe integration. This requires installing caffe.
-# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
-# CAFFE_PATH = $(HOME)/caffe
-# MXNET_PLUGINS += plugin/caffe/caffe.mk
-
-# WARPCTC_PATH = $(HOME)/warp-ctc
-# MXNET_PLUGINS += plugin/warpctc/warpctc.mk
-
-# whether to use sframe integration. This requires build sframe
-# git@github.com:dato-code/SFrame.git
-# SFRAME_PATH = $(HOME)/SFrame
-# MXNET_PLUGINS += plugin/sframe/plugin.mk
diff --git a/make/osx.mk b/make/osx.mk
deleted file mode 100644
index 25f3ba6df55b..000000000000
--- a/make/osx.mk
+++ /dev/null
@@ -1,153 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-#-------------------------------------------------------------------------------
-#  Template configuration for compiling mxnet
-#
-#  If you want to change the configuration, please use the following
-#  steps. Assume you are on the root directory of mxnet. First copy the this
-#  file so that any local changes will be ignored by git
-#
-#  $ cp make/config.mk .
-#
-#  Next modify the according entries, and then compile by
-#
-#  $ make
-#
-#  or build in parallel with 8 threads
-#
-#  $ make -j8
-#-------------------------------------------------------------------------------
-
-#---------------------
-# choice of compiler
-#--------------------
-
-export CC = gcc
-export CXX = g++
-export NVCC = nvcc
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# the additional link flags you want to add
-ADD_LDFLAGS =
-
-# the additional compile flags you want to add
-ADD_CFLAGS =
-
-# whether to build operators written in TVM
-USE_TVM_OP = 0
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# whether use CUDA during compile
-USE_CUDA = 0
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-USE_CUDA_PATH = NONE
-
-# whether to enable CUDA runtime compilation
-ENABLE_CUDA_RTC = 1
-
-# whether use CUDNN R3 library
-USE_CUDNN = 0
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-# use openmp for parallelization
-# apple-clang by default does not have openmp built-in
-USE_OPENMP = 0
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas, apple
-USE_BLAS = apple
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# by default, disable lapack when using MKL
-# switch on when there is a full installation of MKL available (not just MKL_ML)
-ifeq ($(USE_BLAS), mkl)
-USE_LAPACK = 0
-endif
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 0
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 0
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-#----------------------------
-# other features
-#----------------------------
-
-# Create C++ interface package
-USE_CPP_PACKAGE = 0
-
-# Use int64_t type to represent the total number of elements in a tensor
-# This will cause performance degradation reported in issue #14496
-# Set to 1 for large tensor with tensor size greater than INT32_MAX i.e. 2147483647
-# Note: the size of each dimension is still bounded by INT32_MAX
-USE_INT64_TENSOR_SIZE = 0
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use torch integration. This requires installing torch.
-# TORCH_PATH = $(HOME)/torch
-# MXNET_PLUGINS += plugin/torch/torch.mk
diff --git a/make/readthedocs.mk b/make/readthedocs.mk
deleted file mode 100644
index b33dd3c5d21f..000000000000
--- a/make/readthedocs.mk
+++ /dev/null
@@ -1,92 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-#--------------------------------------------------------
-# Configuration for document generation with less deps
-# The library may not run, but doc generation could work
-#--------------------------------------------------------
-
-# choice of compiler
-export CC = gcc
-export CXX = g++
-export NVCC = nvcc
-
-# whether use CUDA during compile
-USE_CUDA = 0
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-USE_CUDA_PATH = NONE
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 0
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-# whether use CUDNN R3 library
-USE_CUDNN = 0
-
-
-# use openmp for parallelization
-USE_OPENMP = 0
-
-#
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-USE_STATIC_MKL = NONE
-USE_BLAS = NONE
-USE_LAPACK = 0
-
-#
-# add path to intel library, you may need it
-# for MKL, if you did not add the path to environment variable
-#
-USE_INTEL_PATH = NONE
-
-
-# the additional link flags you want to add
-ADD_LDFLAGS = -lgomp
-
-# the additional compile flags you want to add
-ADD_CFLAGS = -DMSHADOW_STAND_ALONE=1 -DMSHADOW_USE_SSE=0
-#
-# If use MKL, choose static link automatically to fix python wrapper
-#
-ifeq ($(USE_BLAS), mkl)
-	USE_STATIC_MKL = 1
-endif
-
-#------------------------
-# configuration for DMLC
-#------------------------
-# whether use HDFS support during compile
-# this will allow cxxnet to directly save/load model from hdfs
-USE_HDFS = 0
-
-# whether use AWS S3 support during compile
-# this will allow cxxnet to directly save/load model from s3
-USE_S3 = 0
-
-# path to libjvm.so
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# uses O0 instead of O3 for better performance
-DEBUG = 1
diff --git a/make/staticbuild/darwin_cpu.mk b/make/staticbuild/darwin_cpu.mk
deleted file mode 100644
index 1859936f180e..000000000000
--- a/make/staticbuild/darwin_cpu.mk
+++ /dev/null
@@ -1,167 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-#-------------------------------------------------------------------------------
-#  Template configuration for compiling mxnet for making python wheel
-#-------------------------------------------------------------------------------
-
-#---------------------
-# choice of compiler
-#--------------------
-
-export CC = gcc
-export CXX = g++
-export NVCC = nvcc
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# whether to turn on signal handler (e.g. segfault logger)
-USE_SIGNAL_HANDLER = 1
-
-# the additional link flags you want to add
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib -lpng -ltiff -lz -framework CoreFoundation -framework Security  -Wl,-exported_symbols_list,$(CURDIR)/make/config/libmxnet.sym,-rpath,'$${ORIGIN}',-dead_strip
-
-# the additional compile flags you want to add
-ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-# in default use atlas for linux while apple for osx
-USE_BLAS=apple
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-# whether use CUDA during compile
-USE_CUDA = 0
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-USE_CUDA_PATH = NONE
-
-# whether use CuDNN R3 library
-USE_CUDNN = 0
-
-# CUDA architecture setting: going with all of them.
-# For CUDA < 6.0, comment the *_50 lines for compatibility.
-# CUDA_ARCH :=
-
-# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
-ENABLE_CUDA_RTC = 0
-
-# use openmp for parallelization
-USE_OPENMP = 0
-USE_OPERATOR_TUNING = 1
-USE_LIBJPEG_TURBO = 1
-
-# whether use MKL-DNN library
-USE_MKLDNN = 1
-
-# whether use NNPACK library
-USE_NNPACK = 0
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# path to lapack library in case of a non-standard installation
-USE_LAPACK_PATH = $(DEPS_PATH)/lib
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-# If use MKL, choose static link automatically to allow python wrapper
-ifeq ($(USE_BLAS), mkl)
-USE_STATIC_MKL = 1
-else
-USE_STATIC_MKL = NONE
-endif
-
-#----------------------------
-# Settings for power and arm arch
-#----------------------------
-ARCH := $(shell uname -a)
-ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64))
-	USE_SSE=0
-else
-	USE_SSE=1
-endif
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 1
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 1
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use caffe integration. This requires installing caffe.
-# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
-# CAFFE_PATH = $(HOME)/caffe
-# MXNET_PLUGINS += plugin/caffe/caffe.mk
-
-# whether to use torch integration. This requires installing torch.
-# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH
-# TORCH_PATH = $(HOME)/torch
-# MXNET_PLUGINS += plugin/torch/torch.mk
-
-# WARPCTC_PATH = $(HOME)/warp-ctc
-# MXNET_PLUGINS += plugin/warpctc/warpctc.mk
-
-# whether to use sframe integration. This requires build sframe
-# git@github.com:dato-code/SFrame.git
-# SFRAME_PATH = $(HOME)/SFrame
-# MXNET_PLUGINS += plugin/sframe/plugin.mk
diff --git a/make/staticbuild/darwin_mkl.mk b/make/staticbuild/darwin_mkl.mk
deleted file mode 100644
index 1859936f180e..000000000000
--- a/make/staticbuild/darwin_mkl.mk
+++ /dev/null
@@ -1,167 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-#-------------------------------------------------------------------------------
-#  Template configuration for compiling mxnet for making python wheel
-#-------------------------------------------------------------------------------
-
-#---------------------
-# choice of compiler
-#--------------------
-
-export CC = gcc
-export CXX = g++
-export NVCC = nvcc
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# whether to turn on signal handler (e.g. segfault logger)
-USE_SIGNAL_HANDLER = 1
-
-# the additional link flags you want to add
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib -lpng -ltiff -lz -framework CoreFoundation -framework Security  -Wl,-exported_symbols_list,$(CURDIR)/make/config/libmxnet.sym,-rpath,'$${ORIGIN}',-dead_strip
-
-# the additional compile flags you want to add
-ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-# in default use atlas for linux while apple for osx
-USE_BLAS=apple
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-# whether use CUDA during compile
-USE_CUDA = 0
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-USE_CUDA_PATH = NONE
-
-# whether use CuDNN R3 library
-USE_CUDNN = 0
-
-# CUDA architecture setting: going with all of them.
-# For CUDA < 6.0, comment the *_50 lines for compatibility.
-# CUDA_ARCH :=
-
-# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
-ENABLE_CUDA_RTC = 0
-
-# use openmp for parallelization
-USE_OPENMP = 0
-USE_OPERATOR_TUNING = 1
-USE_LIBJPEG_TURBO = 1
-
-# whether use MKL-DNN library
-USE_MKLDNN = 1
-
-# whether use NNPACK library
-USE_NNPACK = 0
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# path to lapack library in case of a non-standard installation
-USE_LAPACK_PATH = $(DEPS_PATH)/lib
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-# If use MKL, choose static link automatically to allow python wrapper
-ifeq ($(USE_BLAS), mkl)
-USE_STATIC_MKL = 1
-else
-USE_STATIC_MKL = NONE
-endif
-
-#----------------------------
-# Settings for power and arm arch
-#----------------------------
-ARCH := $(shell uname -a)
-ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64))
-	USE_SSE=0
-else
-	USE_SSE=1
-endif
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 1
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 1
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use caffe integration. This requires installing caffe.
-# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
-# CAFFE_PATH = $(HOME)/caffe
-# MXNET_PLUGINS += plugin/caffe/caffe.mk
-
-# whether to use torch integration. This requires installing torch.
-# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH
-# TORCH_PATH = $(HOME)/torch
-# MXNET_PLUGINS += plugin/torch/torch.mk
-
-# WARPCTC_PATH = $(HOME)/warp-ctc
-# MXNET_PLUGINS += plugin/warpctc/warpctc.mk
-
-# whether to use sframe integration. This requires build sframe
-# git@github.com:dato-code/SFrame.git
-# SFRAME_PATH = $(HOME)/SFrame
-# MXNET_PLUGINS += plugin/sframe/plugin.mk
diff --git a/make/staticbuild/linux_cpu.mk b/make/staticbuild/linux_cpu.mk
deleted file mode 100644
index 1cf389ae4a57..000000000000
--- a/make/staticbuild/linux_cpu.mk
+++ /dev/null
@@ -1,167 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-#-------------------------------------------------------------------------------
-#  Template configuration for compiling mxnet for making python wheel
-#-------------------------------------------------------------------------------
-
-#---------------------
-# choice of compiler
-#--------------------
-
-export CC = gcc
-export CXX = g++
-export NVCC = nvcc
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# whether to turn on signal handler (e.g. segfault logger)
-USE_SIGNAL_HANDLER = 1
-
-# the additional link flags you want to add
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib -lpng -ltiff -ljpeg -lz -lgfortran -ldl  -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections
-
-# the additional compile flags you want to add
-ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-# in default use atlas for linux while apple for osx
-USE_BLAS=openblas
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-# whether use CUDA during compile
-USE_CUDA = 0
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-USE_CUDA_PATH = NONE
-
-# whether use CuDNN R3 library
-USE_CUDNN = 0
-
-# CUDA architecture setting: going with all of them.
-# For CUDA < 6.0, comment the *_50 lines for compatibility.
-# CUDA_ARCH :=
-
-# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
-ENABLE_CUDA_RTC = 0
-
-# use openmp for parallelization
-USE_OPENMP = 1
-USE_OPERATOR_TUNING = 1
-USE_LIBJPEG_TURBO = 1
-
-# whether use MKL-DNN library
-USE_MKLDNN = 1
-
-# whether use NNPACK library
-USE_NNPACK = 0
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# path to lapack library in case of a non-standard installation
-USE_LAPACK_PATH = $(DEPS_PATH)/lib
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-# If use MKL, choose static link automatically to allow python wrapper
-ifeq ($(USE_BLAS), mkl)
-USE_STATIC_MKL = 1
-else
-USE_STATIC_MKL = NONE
-endif
-
-#----------------------------
-# Settings for power and arm arch
-#----------------------------
-ARCH := $(shell uname -a)
-ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64))
-	USE_SSE=0
-else
-	USE_SSE=1
-endif
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 1
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 1
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use caffe integration. This requires installing caffe.
-# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
-# CAFFE_PATH = $(HOME)/caffe
-# MXNET_PLUGINS += plugin/caffe/caffe.mk
-
-# whether to use torch integration. This requires installing torch.
-# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH
-# TORCH_PATH = $(HOME)/torch
-# MXNET_PLUGINS += plugin/torch/torch.mk
-
-# WARPCTC_PATH = $(HOME)/warp-ctc
-# MXNET_PLUGINS += plugin/warpctc/warpctc.mk
-
-# whether to use sframe integration. This requires build sframe
-# git@github.com:dato-code/SFrame.git
-# SFRAME_PATH = $(HOME)/SFrame
-# MXNET_PLUGINS += plugin/sframe/plugin.mk
diff --git a/make/staticbuild/linux_cu100.mk b/make/staticbuild/linux_cu100.mk
deleted file mode 100644
index 855485c5b6df..000000000000
--- a/make/staticbuild/linux_cu100.mk
+++ /dev/null
@@ -1,180 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-#-------------------------------------------------------------------------------
-#  Template configuration for compiling mxnet for making python wheel
-#-------------------------------------------------------------------------------
-
-#---------------------
-# choice of compiler
-#--------------------
-
-export CC = gcc
-export CXX = g++
-export NVCC = nvcc
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# whether to turn on signal handler (e.g. segfault logger)
-USE_SIGNAL_HANDLER = 1
-
-# the additional link flags you want to add
-ifdef USE_SYSTEM_CUDA
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections
-else
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib $(DEPS_PATH)/lib/libculibos.a -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections
-endif
-
-# the additional compile flags you want to add
-ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-# in default use atlas for linux while apple for osx
-USE_BLAS=openblas
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-# whether use CUDA during compile
-USE_CUDA = 1
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-ifdef USE_SYSTEM_CUDA
-USE_CUDA_PATH = /usr/local/cuda-10.0
-else
-USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-10.0
-endif
-
-# whether to use CuDNN library
-USE_CUDNN = 1
-
-# whether to use NCCL library
-USE_NCCL = 1
-
-# CUDA architecture setting: going with all of them.
-# For CUDA < 6.0, comment the *_50 lines for compatibility.
-# CUDA_ARCH :=
-
-# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
-ENABLE_CUDA_RTC = 1
-
-USE_NVTX=1
-
-# use openmp for parallelization
-USE_OPENMP = 1
-USE_OPERATOR_TUNING = 1
-USE_LIBJPEG_TURBO = 1
-
-# whether use MKL-DNN library
-USE_MKLDNN = 1
-
-# whether use NNPACK library
-USE_NNPACK = 0
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# path to lapack library in case of a non-standard installation
-USE_LAPACK_PATH = $(DEPS_PATH)/lib
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-# If use MKL, choose static link automatically to allow python wrapper
-ifeq ($(USE_BLAS), mkl)
-USE_STATIC_MKL = 1
-else
-USE_STATIC_MKL = NONE
-endif
-
-#----------------------------
-# Settings for power and arm arch
-#----------------------------
-ARCH := $(shell uname -a)
-ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64))
-	USE_SSE=0
-else
-	USE_SSE=1
-endif
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 1
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 1
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use caffe integration. This requires installing caffe.
-# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
-# CAFFE_PATH = $(HOME)/caffe
-# MXNET_PLUGINS += plugin/caffe/caffe.mk
-
-# whether to use torch integration. This requires installing torch.
-# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH
-# TORCH_PATH = $(HOME)/torch
-# MXNET_PLUGINS += plugin/torch/torch.mk
-
-# WARPCTC_PATH = $(HOME)/warp-ctc
-# MXNET_PLUGINS += plugin/warpctc/warpctc.mk
-
-# whether to use sframe integration. This requires build sframe
-# git@github.com:dato-code/SFrame.git
-# SFRAME_PATH = $(HOME)/SFrame
-# MXNET_PLUGINS += plugin/sframe/plugin.mk
diff --git a/make/staticbuild/linux_cu101.mk b/make/staticbuild/linux_cu101.mk
deleted file mode 100644
index 7bbde85bee11..000000000000
--- a/make/staticbuild/linux_cu101.mk
+++ /dev/null
@@ -1,181 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-#-------------------------------------------------------------------------------
-#  Template configuration for compiling mxnet for making python wheel
-#-------------------------------------------------------------------------------
-
-#---------------------
-# choice of compiler
-#--------------------
-
-export CC = gcc
-export CXX = g++
-export NVCC = nvcc
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# whether to turn on signal handler (e.g. segfault logger)
-USE_SIGNAL_HANDLER = 1
-
-# the additional link flags you want to add
-ifdef USE_SYSTEM_CUDA
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections
-else
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib $(DEPS_PATH)/lib/libculibos.a -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections
-endif
-
-# the additional compile flags you want to add
-ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-# in default use atlas for linux while apple for osx
-USE_BLAS=openblas
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-# whether use CUDA during compile
-USE_CUDA = 1
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-ifdef USE_SYSTEM_CUDA
-USE_CUDA_PATH = /usr/local/cuda-10.1
-else
-USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-10.1
-endif
-
-# whether to use CuDNN library
-USE_CUDNN = 1
-
-# whether to use NCCL library
-USE_NCCL = 1
-
-# CUDA architecture setting: going with all of them.
-# For CUDA < 6.0, comment the *_50 lines for compatibility.
-# CUDA_ARCH :=
-
-# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
-ENABLE_CUDA_RTC = 1
-
-USE_NVTX=1
-
-# use openmp for parallelization
-USE_OPENMP = 1
-USE_OPERATOR_TUNING = 1
-USE_LIBJPEG_TURBO = 1
-
-# whether use MKL-DNN library
-USE_MKLDNN = 1
-
-# whether use NNPACK library
-USE_NNPACK = 0
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# path to lapack library in case of a non-standard installation
-USE_LAPACK_PATH = $(DEPS_PATH)/lib
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-# If use MKL, choose static link automatically to allow python wrapper
-ifeq ($(USE_BLAS), mkl)
-USE_STATIC_MKL = 1
-else
-USE_STATIC_MKL = NONE
-endif
-
-#----------------------------
-# Settings for power and arm arch
-#----------------------------
-ARCH := $(shell uname -a)
-ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64))
-	USE_SSE=0
-else
-	USE_SSE=1
-endif
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 1
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 1
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use caffe integration. This requires installing caffe.
-# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
-# CAFFE_PATH = $(HOME)/caffe
-# MXNET_PLUGINS += plugin/caffe/caffe.mk
-
-# whether to use torch integration. This requires installing torch.
-# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH
-# TORCH_PATH = $(HOME)/torch
-# MXNET_PLUGINS += plugin/torch/torch.mk
-
-# WARPCTC_PATH = $(HOME)/warp-ctc
-# MXNET_PLUGINS += plugin/warpctc/warpctc.mk
-
-# whether to use sframe integration. This requires build sframe
-# git@github.com:dato-code/SFrame.git
-# SFRAME_PATH = $(HOME)/SFrame
-# MXNET_PLUGINS += plugin/sframe/plugin.mk
-
diff --git a/make/staticbuild/linux_cu102.mk b/make/staticbuild/linux_cu102.mk
deleted file mode 100644
index 963842a19cff..000000000000
--- a/make/staticbuild/linux_cu102.mk
+++ /dev/null
@@ -1,181 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-#-------------------------------------------------------------------------------
-#  Template configuration for compiling mxnet for making python wheel
-#-------------------------------------------------------------------------------
-
-#---------------------
-# choice of compiler
-#--------------------
-
-export CC = gcc
-export CXX = g++
-export NVCC = nvcc
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# whether to turn on signal handler (e.g. segfault logger)
-USE_SIGNAL_HANDLER = 1
-
-# the additional link flags you want to add
-ifdef USE_SYSTEM_CUDA
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections
-else
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib $(DEPS_PATH)/lib/libculibos.a -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections
-endif
-
-# the additional compile flags you want to add
-ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-# in default use atlas for linux while apple for osx
-USE_BLAS=openblas
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-# whether use CUDA during compile
-USE_CUDA = 1
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-ifdef USE_SYSTEM_CUDA
-USE_CUDA_PATH = /usr/local/cuda-10.2
-else
-USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-10.2
-endif
-
-# whether to use CuDNN library
-USE_CUDNN = 1
-
-# whether to use NCCL library
-USE_NCCL = 1
-
-# CUDA architecture setting: going with all of them.
-# For CUDA < 6.0, comment the *_50 lines for compatibility.
-# CUDA_ARCH :=
-
-# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
-ENABLE_CUDA_RTC = 1
-
-USE_NVTX=1
-
-# use openmp for parallelization
-USE_OPENMP = 1
-USE_OPERATOR_TUNING = 1
-USE_LIBJPEG_TURBO = 1
-
-# whether use MKL-DNN library
-USE_MKLDNN = 1
-
-# whether use NNPACK library
-USE_NNPACK = 0
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# path to lapack library in case of a non-standard installation
-USE_LAPACK_PATH = $(DEPS_PATH)/lib
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-# If use MKL, choose static link automatically to allow python wrapper
-ifeq ($(USE_BLAS), mkl)
-USE_STATIC_MKL = 1
-else
-USE_STATIC_MKL = NONE
-endif
-
-#----------------------------
-# Settings for power and arm arch
-#----------------------------
-ARCH := $(shell uname -a)
-ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64))
-	USE_SSE=0
-else
-	USE_SSE=1
-endif
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 1
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 1
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use caffe integration. This requires installing caffe.
-# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
-# CAFFE_PATH = $(HOME)/caffe
-# MXNET_PLUGINS += plugin/caffe/caffe.mk
-
-# whether to use torch integration. This requires installing torch.
-# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH
-# TORCH_PATH = $(HOME)/torch
-# MXNET_PLUGINS += plugin/torch/torch.mk
-
-# WARPCTC_PATH = $(HOME)/warp-ctc
-# MXNET_PLUGINS += plugin/warpctc/warpctc.mk
-
-# whether to use sframe integration. This requires build sframe
-# git@github.com:dato-code/SFrame.git
-# SFRAME_PATH = $(HOME)/SFrame
-# MXNET_PLUGINS += plugin/sframe/plugin.mk
-
diff --git a/make/staticbuild/linux_cu92.mk b/make/staticbuild/linux_cu92.mk
deleted file mode 100644
index 2cbbdd25eeaf..000000000000
--- a/make/staticbuild/linux_cu92.mk
+++ /dev/null
@@ -1,180 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-#-------------------------------------------------------------------------------
-#  Template configuration for compiling mxnet for making python wheel
-#-------------------------------------------------------------------------------
-
-#---------------------
-# choice of compiler
-#--------------------
-
-export CC = gcc
-export CXX = g++
-export NVCC = nvcc
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# whether to turn on signal handler (e.g. segfault logger)
-USE_SIGNAL_HANDLER = 1
-
-# the additional link flags you want to add
-ifdef USE_SYSTEM_CUDA
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections
-else
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib $(DEPS_PATH)/lib/libculibos.a -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections
-endif
-
-# the additional compile flags you want to add
-ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-# in default use atlas for linux while apple for osx
-USE_BLAS=openblas
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-# whether use CUDA during compile
-USE_CUDA = 1
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-ifdef USE_SYSTEM_CUDA
-USE_CUDA_PATH = /usr/local/cuda-9.2
-else
-USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-9.2
-endif
-
-# whether to use CuDNN library
-USE_CUDNN = 1
-
-# whether to use NCCL library
-USE_NCCL = 1
-
-# CUDA architecture setting: going with all of them.
-# For CUDA < 6.0, comment the *_50 lines for compatibility.
-# CUDA_ARCH :=
-
-# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
-ENABLE_CUDA_RTC = 1
-
-USE_NVTX=1
-
-# use openmp for parallelization
-USE_OPENMP = 1
-USE_OPERATOR_TUNING = 1
-USE_LIBJPEG_TURBO = 1
-
-# whether use MKL-DNN library
-USE_MKLDNN = 1
-
-# whether use NNPACK library
-USE_NNPACK = 0
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# path to lapack library in case of a non-standard installation
-USE_LAPACK_PATH = $(DEPS_PATH)/lib
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-# If use MKL, choose static link automatically to allow python wrapper
-ifeq ($(USE_BLAS), mkl)
-USE_STATIC_MKL = 1
-else
-USE_STATIC_MKL = NONE
-endif
-
-#----------------------------
-# Settings for power and arm arch
-#----------------------------
-ARCH := $(shell uname -a)
-ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64))
-	USE_SSE=0
-else
-	USE_SSE=1
-endif
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 1
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 1
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use caffe integration. This requires installing caffe.
-# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
-# CAFFE_PATH = $(HOME)/caffe
-# MXNET_PLUGINS += plugin/caffe/caffe.mk
-
-# whether to use torch integration. This requires installing torch.
-# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH
-# TORCH_PATH = $(HOME)/torch
-# MXNET_PLUGINS += plugin/torch/torch.mk
-
-# WARPCTC_PATH = $(HOME)/warp-ctc
-# MXNET_PLUGINS += plugin/warpctc/warpctc.mk
-
-# whether to use sframe integration. This requires build sframe
-# git@github.com:dato-code/SFrame.git
-# SFRAME_PATH = $(HOME)/SFrame
-# MXNET_PLUGINS += plugin/sframe/plugin.mk
diff --git a/make/staticbuild/linux_native.mk b/make/staticbuild/linux_native.mk
deleted file mode 100644
index 348a659cd9e2..000000000000
--- a/make/staticbuild/linux_native.mk
+++ /dev/null
@@ -1,167 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-#-------------------------------------------------------------------------------
-#  Template configuration for compiling mxnet for making python wheel
-#-------------------------------------------------------------------------------
-
-#---------------------
-# choice of compiler
-#--------------------
-
-export CC = gcc
-export CXX = g++
-export NVCC = nvcc
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# whether to turn on signal handler (e.g. segfault logger)
-USE_SIGNAL_HANDLER = 1
-
-# the additional link flags you want to add
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib -lpng -ltiff -ljpeg -lz -lgfortran -ldl -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections
-
-# the additional compile flags you want to add
-ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-# in default use atlas for linux while apple for osx
-USE_BLAS=openblas
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-# whether use CUDA during compile
-USE_CUDA = 0
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-USE_CUDA_PATH = NONE
-
-# whether use CuDNN R3 library
-USE_CUDNN = 0
-
-# CUDA architecture setting: going with all of them.
-# For CUDA < 6.0, comment the *_50 lines for compatibility.
-# CUDA_ARCH :=
-
-# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
-ENABLE_CUDA_RTC = 0
-
-# use openmp for parallelization
-USE_OPENMP = 1
-USE_OPERATOR_TUNING = 1
-USE_LIBJPEG_TURBO = 1
-
-# whether use MKL-DNN library
-USE_MKLDNN = 0
-
-# whether use NNPACK library
-USE_NNPACK = 0
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# path to lapack library in case of a non-standard installation
-USE_LAPACK_PATH = $(DEPS_PATH)/lib
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-# If use MKL, choose static link automatically to allow python wrapper
-ifeq ($(USE_BLAS), mkl)
-USE_STATIC_MKL = 1
-else
-USE_STATIC_MKL = NONE
-endif
-
-#----------------------------
-# Settings for power and arm arch
-#----------------------------
-ARCH := $(shell uname -a)
-ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64))
-	USE_SSE=0
-else
-	USE_SSE=1
-endif
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 1
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 1
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use caffe integration. This requires installing caffe.
-# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
-# CAFFE_PATH = $(HOME)/caffe
-# MXNET_PLUGINS += plugin/caffe/caffe.mk
-
-# whether to use torch integration. This requires installing torch.
-# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH
-# TORCH_PATH = $(HOME)/torch
-# MXNET_PLUGINS += plugin/torch/torch.mk
-
-# WARPCTC_PATH = $(HOME)/warp-ctc
-# MXNET_PLUGINS += plugin/warpctc/warpctc.mk
-
-# whether to use sframe integration. This requires build sframe
-# git@github.com:dato-code/SFrame.git
-# SFRAME_PATH = $(HOME)/SFrame
-# MXNET_PLUGINS += plugin/sframe/plugin.mk
diff --git a/mkldnn.mk b/mkldnn.mk
deleted file mode 100644
index a22a64a018a8..000000000000
--- a/mkldnn.mk
+++ /dev/null
@@ -1,65 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-ifeq ($(USE_MKLDNN), 1)
-	MKLDNN_SUBMODDIR = $(ROOTDIR)/3rdparty/mkldnn
-	MKLDNN_BUILDDIR = $(MKLDNN_SUBMODDIR)/build
-	MXNET_LIBDIR = $(ROOTDIR)/lib
-	MXNET_INCLDIR = $(ROOTDIR)/include
-	MKLDNN_LIBFILE = $(MKLDNNROOT)/lib/libdnnl.a
-endif
-
-mkldnn_FLAGS  = -DCMAKE_INSTALL_PREFIX=$(MKLDNNROOT)
-mkldnn_FLAGS += -DCMAKE_INSTALL_LIBDIR=lib
-mkldnn_FLAGS += -B$(MKLDNN_BUILDDIR)
-mkldnn_FLAGS += -DMKLDNN_ARCH_OPT_FLAGS=""
-mkldnn_FLAGS += -DMKLDNN_BUILD_TESTS=OFF
-mkldnn_FLAGS += -DMKLDNN_BUILD_EXAMPLES=OFF
-mkldnn_FLAGS += -DMKLDNN_ENABLE_JIT_PROFILING=OFF
-mkldnn_FLAGS += -DMKLDNN_LIBRARY_TYPE=STATIC
-mkldnn_FLAGS += -DDNNL_ENABLE_CONCURRENT_EXEC=ON
-
-ifneq ($(USE_OPENMP), 1)
-	mkldnn_FLAGS += -DMKLDNN_CPU_RUNTIME=SEQ
-endif
-
-ifeq ($(DEBUG), 1)
-	mkldnn_FLAGS += -DCMAKE_BUILD_TYPE=Debug
-endif
-
-.PHONY: mkldnn mkldnn_clean
-
-mkldnn_build: $(MKLDNN_LIBFILE)
-
-$(MKLDNN_LIBFILE):
-	mkdir -p $(MKLDNNROOT)/lib
-	cmake $(MKLDNN_SUBMODDIR) $(mkldnn_FLAGS)
-	$(MAKE) -C $(MKLDNN_BUILDDIR) VERBOSE=1
-	$(MAKE) -C $(MKLDNN_BUILDDIR) install
-	cp $(MKLDNN_BUILDDIR)/include/dnnl_version.h $(MXNET_INCLDIR)/mkldnn/.
-	cp $(MKLDNN_BUILDDIR)/include/dnnl_config.h $(MXNET_INCLDIR)/mkldnn/.
-
-mkldnn_clean:
-	$(RM) -r 3rdparty/mkldnn/build
-	$(RM) -r include/mkldnn/dnnl_version.h
-	$(RM) -r include/mkldnn/dnnl_config.h
-
-ifeq ($(USE_MKLDNN), 1)
-mkldnn: mkldnn_build
-else
-mkldnn:
-endif
diff --git a/plugin/caffe/README.md b/plugin/caffe/README.md
deleted file mode 100644
index 7e60f2e83564..000000000000
--- a/plugin/caffe/README.md
+++ /dev/null
@@ -1,58 +0,0 @@
-<!--- Licensed to the Apache Software Foundation (ASF) under one -->
-<!--- or more contributor license agreements.  See the NOTICE file -->
-<!--- distributed with this work for additional information -->
-<!--- regarding copyright ownership.  The ASF licenses this file -->
-<!--- to you under the Apache License, Version 2.0 (the -->
-<!--- "License"); you may not use this file except in compliance -->
-<!--- with the License.  You may obtain a copy of the License at -->
-
-<!---   http://www.apache.org/licenses/LICENSE-2.0 -->
-
-<!--- Unless required by applicable law or agreed to in writing, -->
-<!--- software distributed under the License is distributed on an -->
-<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
-<!--- KIND, either express or implied.  See the License for the -->
-<!--- specific language governing permissions and limitations -->
-<!--- under the License. -->
-
-# How to use Caffe operator in MXNet
-
-[Caffe](http://caffe.berkeleyvision.org/) has been a well-known and widely-used deep learning framework. Now MXNet has supported calling most caffe operators(layers) and loss functions directly in its symbolic graph! Using one's own customized caffe layer is also effortless.
-
-Besides Caffe, MXNet has already embedded Torch modules and its tensor mathematical functions. ([link](https://github.com/dmlc/mxnet/blob/master/docs/faq/torch.md))
-
-This blog demonstrates two steps to use Caffe op in MXNet:
-
-* How to install MXNet with Caffe support.
-
-* How to embed Caffe op into MXNet's symbolic graph.
-
-## Install Caffe With MXNet interface
-* Download offical Caffe repository [BVLC/Caffe](https://github.com/BVLC/caffe).
-* Download [caffe patch for mxnet interface] (https://github.com/BVLC/caffe/pull/4527.patch). Move patch file under your caffe root folder and apply the patch by `git apply patch_file_name`.
-* Install caffe following [official guide](http://caffe.berkeleyvision.org/installation.html).
-
-## Compile with Caffe
-* In mxnet folder, open `config.mk` (if you haven't already, copy `make/config.mk` (Linux) or `make/osx.mk` (Mac) into MXNet root folder as `config.mk`) and uncomment the lines `CAFFE_PATH = $(HOME)/caffe` and `MXNET_PLUGINS += plugin/caffe/caffe.mk`. Modify `CAFFE_PATH` to your caffe installation if necessary. 
-* Run `make clean && make` to build with caffe support.
-
-## Caffe Operator (Layer)
-Caffe's neural network operator and loss functions are supported by MXNet through `mxnet.symbol.CaffeOp` and `mxnet.symbol.CaffeLoss` respectively.
-For example, the following code shows multi-layer perception network for classifying MNIST digits ([full code](https://github.com/dmlc/mxnet/blob/master/example/caffe/caffe_net.py)):
-
-### Python
-```Python
-data = mx.symbol.Variable('data')
-label = mx.symbol.Variable('softmax_label')
-fc1  = mx.symbol.CaffeOp(data_0=data, num_weight=2, name='fc1', prototxt="layer{type:\"InnerProduct\" inner_product_param{num_output: 128} }")
-act1 = mx.symbol.CaffeOp(data_0=fc1, prototxt="layer{type:\"TanH\"}")
-fc2  = mx.symbol.CaffeOp(data_0=act1, num_weight=2, name='fc2', prototxt="layer{type:\"InnerProduct\" inner_product_param{num_output: 64} }")
-act2 = mx.symbol.CaffeOp(data_0=fc2, prototxt="layer{type:\"TanH\"}")
-fc3 = mx.symbol.CaffeOp(data_0=act2, num_weight=2, name='fc3', prototxt="layer{type:\"InnerProduct\" inner_product_param{num_output: 10}}")
-mlp = mx.symbol.CaffeLoss(data=fc3, label=label, grad_scale=1, name='softmax', prototxt="layer{type:\"SoftmaxWithLoss\"}")
-```
-
-Let's break it down. First `data = mx.symbol.Variable('data')` defines a variable as placeholder for input.
-Then it's fed through Caffe operators with `fc1  = mx.symbol.CaffeOp(data_0=data, num_weight=2, name='fc1', prototxt="layer{type:\"InnerProduct\" inner_product_param{num_output: 128} }")`.
-
-The inputs to caffe op are named as data_i for i=0 ... num_data-1 as `num_data` is the number of inputs. You may skip the argument, as the example does, if its value is 1. While `num_weight` is number of `blobs_`(weights). Its default value is 0, as many ops maintain no weight. `prototxt` is the configuration string.
diff --git a/plugin/caffe/caffe.mk b/plugin/caffe/caffe.mk
deleted file mode 100644
index c115e473be9d..000000000000
--- a/plugin/caffe/caffe.mk
+++ /dev/null
@@ -1,32 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-CFLAGS += -I$(CAFFE_PATH)/include -I$(CAFFE_PATH)/build/src -I$(CAFFE_PATH)/build/include
-LDFLAGS += -lprotobuf -lboost_system -lboost_thread -lboost_filesystem -lgflags -lglog -L$(CAFFE_PATH)/build/lib -lcaffe
-
-ifeq ($(USE_CUDNN), 1)
-	CFLAGS += -DUSE_CUDNN=1
-endif
-
-ifeq ($(USE_CUDA), 0)
-	CFLAGS += -DCPU_ONLY=1
-endif
-
-CAFFE_SRC = $(wildcard plugin/caffe/*.cc)
-PLUGIN_OBJ += $(patsubst %.cc, build/%.o, $(CAFFE_SRC))
-CAFFE_CUSRC = $(wildcard plugin/caffe/*.cu)
-PLUGIN_CUOBJ += $(patsubst %.cu, build/%_gpu.o, $(CAFFE_CUSRC))
diff --git a/plugin/caffe/caffe_blob.cc b/plugin/caffe/caffe_blob.cc
deleted file mode 100644
index 6a75439f3e4e..000000000000
--- a/plugin/caffe/caffe_blob.cc
+++ /dev/null
@@ -1,94 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file caffe_blob.cc
- * \brief Implementations of SetDataGradToBlob given various device/dimension
- * \author Haoran Wang
-*/
-#include "caffe_blob.h"
-namespace mxnet {
-namespace op {
-namespace caffe {
-
-template<>
-void SetDataGradToBlob<mshadow::cpu, float>(caffeMemoryTypes memType,
-                            std::vector<::caffe::Blob<float>*>::iterator blob,
-                            std::vector<TBlob>::const_iterator itr) {
-  float *data_ptr = reinterpret_cast<float*>((*itr).dptr_);
-  if (memType == Data)
-    (*blob)->set_cpu_data(data_ptr);
-  else
-    MXCAFFEBLOB(*blob, float)->set_cpu_diff(data_ptr);
-}
-
-template<>
-void SetDataGradToBlob<mshadow::cpu, double>(caffeMemoryTypes memType,
-                            std::vector<::caffe::Blob<double>*>::iterator blob,
-                            std::vector<TBlob>::const_iterator itr) {
-  double *data_ptr = reinterpret_cast<double*>((*itr).dptr_);
-  if (memType == Data)
-    (*blob)->set_cpu_data(data_ptr);
-  else
-    MXCAFFEBLOB(*blob, double)->set_cpu_diff(data_ptr);
-}
-
-template<>
-void SetDataGradToBlob<mshadow::gpu, float>(caffeMemoryTypes memType,
-                            std::vector<::caffe::Blob<float>*>::iterator blob,
-                            std::vector<TBlob>::const_iterator itr) {
-  float *data_ptr = reinterpret_cast<float*>((*itr).dptr_);
-  if (memType == Data)
-    (*blob)->set_gpu_data(data_ptr);
-  else
-    MXCAFFEBLOB(*blob, float)->set_gpu_diff(data_ptr);
-}
-
-template<>
-void SetDataGradToBlob<mshadow::gpu, double>(caffeMemoryTypes memType,
-                            std::vector<::caffe::Blob<double>*>::iterator blob,
-                            std::vector<TBlob>::const_iterator itr) {
-  double *data_ptr = reinterpret_cast<double*>((*itr).dptr_);
-  if (memType == Data)
-    (*blob)->set_gpu_data(data_ptr);
-  else
-    MXCAFFEBLOB(*blob, double)->set_gpu_diff(data_ptr);
-}
-
-mxnet::TShape Vector2TShape(const std::vector<int> &vec_int) {
-  std::vector<mshadow::index_t> vec;
-  for (uint32_t i = 0; i < vec_int.size(); ++i)
-    vec.push_back(vec_int[i]);
-  // 0-dim represents scalar in caffe
-  if (vec_int.size() == 0)
-    vec.push_back(1);
-  return {vec.begin(), vec.end()};
-}
-
-std::vector<int> TShape2Vector(const mxnet::TShape &tshape) {
-  std::vector<int> s;
-  for (uint32_t i =0 ; i < tshape.ndim(); ++i)
-    s.push_back(tshape[i]);
-  return s;
-}
-
-}  // namespace caffe
-}  // namespace op
-}  // namespace mxnet
diff --git a/plugin/caffe/caffe_blob.h b/plugin/caffe/caffe_blob.h
deleted file mode 100644
index 6243b5dc8c88..000000000000
--- a/plugin/caffe/caffe_blob.h
+++ /dev/null
@@ -1,117 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file caffe_blob.h
- * \brief conversion between tensor and caffeBlob
- * \author Haoran Wang
-*/
-#ifndef PLUGIN_CAFFE_CAFFE_BLOB_H_
-#define PLUGIN_CAFFE_CAFFE_BLOB_H_
-
-#include <mxnet/tensor_blob.h>
-#include <vector>
-#include <caffe/blob.hpp>
-#include <caffe/layer.hpp>
-
-namespace mxnet {
-namespace op {
-
-namespace caffe {
-
-// Declare Memory Type for Caffe blob
-enum caffeMemoryTypes {Data, Grad, Non};
-
-mxnet::TShape Vector2TShape(const std::vector<int> &vec_int);
-std::vector<int> TShape2Vector(const mxnet::TShape &tshape);
-
-// implementation of tensor to blob, called by TensorToBlob
-template<typename Device, typename Dtype>
-void SetDataGradToBlob(caffeMemoryTypes memType,
-                       typename std::vector< ::caffe::Blob<Dtype>*>::iterator blob,
-                       typename std::vector<TBlob>::const_iterator itr);
-
-/**
- * \brief The interface to convert mxnet's tensor to caffe's blob
- * \brief called in caffe_operator_inl.h
- */
-template<typename Device, typename Dtype>
-void TBlob2CaffeBlob(caffeMemoryTypes memType,
-                     typename std::vector< ::caffe::Blob<Dtype>*>::iterator blob,
-                     typename std::vector<TBlob>::const_iterator tblob,
-                     int n = 1) {
-  for (int i = 0; i < n; ++i, ++blob, ++tblob) {
-    (*blob)->Reshape(TShape2Vector((*tblob).shape_));
-    SetDataGradToBlob<Device, Dtype>(memType, blob, tblob);
-  }
-}
-
-template<typename Dtype>
-void SetOpBlobs(::caffe::Layer<Dtype> *caffeOp,
-                const std::vector< ::caffe::Blob<Dtype>*>& weights) {
-  CHECK_EQ(caffeOp->blobs().size(), weights.size());
-  for (int i = 0; i < weights.size(); ++i)
-    caffeOp->blobs()[i].reset(weights[i]);
-}
-
-/**!
- * \brief Workaround for missing functions in ::caffe::Blob
- * \warning Do not add or override any virtual functions in this class
- * @tparam Dtype
- */
-template<class Dtype>
-class CaffeBlobFriend : public ::caffe::Blob<Dtype> {
- public:
-  inline void set_cpu_diff(Dtype* diff) {
-    CHECK(diff);
-    this->diff_->set_cpu_data(diff);
-  }
-
-  inline void set_gpu_diff(Dtype* diff) {
-    CHECK(diff);
-    this->diff_->set_gpu_data(diff);
-  }
-};
-
-#define MXCAFFEBLOB(__object$, __type$) \
-  (static_cast<mxnet::op::caffe::CaffeBlobFriend<__type$> *>(__object$))
-
-/**!
- * \brief Workaround for missing functions in ::caffe::Layer
- * \warning Do not add or override any virtual functions in this class
- * @tparam Dtype
- */
-template <typename Dtype>
-class CaffeLayerFriend : public ::caffe::Layer<Dtype> {
-  explicit CaffeLayerFriend(const ::caffe::LayerParameter& param) = delete;
- public:
-  inline void SetPhase(::caffe::Phase p) {
-    this->phase_ = p;
-  }
-};
-
-#define MXCAFFELAYER(__object$, __type$) \
-  (static_cast<mxnet::op::caffe::CaffeLayerFriend<__type$> *>(__object$))
-
-}  // namespace caffe
-}  // namespace op
-}  // namespace mxnet
-
-#endif  // PLUGIN_CAFFE_CAFFE_BLOB_H_
diff --git a/plugin/caffe/caffe_common.cc b/plugin/caffe/caffe_common.cc
deleted file mode 100644
index dd445efbd659..000000000000
--- a/plugin/caffe/caffe_common.cc
+++ /dev/null
@@ -1,48 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file caffe_common.h
- * \brief Common functions for caffeOp and caffeLoss symbols
- * \author Haoran Wang
-*/
-#include<mshadow/tensor.h>
-#include<caffe/common.hpp>
-#include"caffe_common.h"
-
-namespace mxnet {
-namespace op {
-namespace caffe {
-
-// Cpu implementation of set_mode
-template<>
-void CaffeMode::SetMode<mshadow::cpu>() {
-  ::caffe::Caffe::set_mode(::caffe::Caffe::CPU);
-}
-
-// Gpu implementation of set_mode
-template<>
-void CaffeMode::SetMode<mshadow::gpu>() {
-  ::caffe::Caffe::set_mode(::caffe::Caffe::GPU);
-}
-
-}  // namespace caffe
-}  // namespace op
-}  // namespace mxnet
diff --git a/plugin/caffe/caffe_common.h b/plugin/caffe/caffe_common.h
deleted file mode 100644
index 211d8c44d518..000000000000
--- a/plugin/caffe/caffe_common.h
+++ /dev/null
@@ -1,97 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file caffe_common.h
- * \brief Common functions for caffeOp and caffeLoss symbols
- * \author Haoran Wang
-*/
-
-#ifndef PLUGIN_CAFFE_CAFFE_COMMON_H_
-#define PLUGIN_CAFFE_CAFFE_COMMON_H_
-
-#include <mxnet/operator.h>
-#include <dmlc/type_traits.h>
-
-#include <caffe/proto/caffe.pb.h>
-
-#include <vector>
-#include <iostream>
-#include <exception>
-
-#include <caffe/layer.hpp>
-#include <caffe/blob.hpp>
-#include <caffe/layer_factory.hpp>
-
-namespace mxnet {
-namespace op {
-namespace caffe {
-
-/**
- * \brief The class sets caffe's mode before doing forward/backward
- * \tparam xpu The device that the op will be executed on.
- */
-class CaffeMode {
- public:
-  template<typename xpu> static void SetMode();
-};
-
-// Initialization funciton called by caffeOp & caffeLoss
-template<typename Dtype>
-void InitCaffeBlobs(std::vector< ::caffe::Blob<Dtype>*>* v, int n_num) {
-  for (index_t i=0; i < n_num; ++i)
-    v->push_back(new ::caffe::Blob<Dtype>());
-}
-
-template<typename Dtype>
-void DelCaffeBlobs(std::vector< ::caffe::Blob<Dtype>*>* v, int n_num) {
-  for (index_t i=0; i < n_num; ++i)
-    delete v->at(i);
-}
-
-
-struct NULLDeleter {template<typename T> void operator()(T*){}};
-
-template <typename Dtype>
-void Deleter(::caffe::Layer<Dtype> *ptr) {
-}
-
-template <typename Dtype>
-class LayerRegistry {
- public:
-  static ::caffe::Layer<Dtype> * CreateLayer(const ::caffe::LayerParameter& param) {
-    ::caffe::shared_ptr< ::caffe::Layer<Dtype> > ptr =
-      ::caffe::LayerRegistry<Dtype>::CreateLayer(param);
-    // avoid caffe::layer destructor, which deletes the weights layer owns
-    new ::caffe::shared_ptr< ::caffe::Layer<Dtype> >(ptr);
-    return ptr.get();
-  }
-};
-
-}  // namespace caffe
-}  // namespace op
-}  // namespace mxnet
-
-/*! \brief override type_name for caffe::LayerParameter */
-namespace dmlc {
-  DMLC_DECLARE_TYPE_NAME(::caffe::LayerParameter, "caffe-layer-parameter");
-}
-
-#endif  // PLUGIN_CAFFE_CAFFE_COMMON_H_
diff --git a/plugin/caffe/caffe_data_iter.cc b/plugin/caffe/caffe_data_iter.cc
deleted file mode 100644
index 552b9dce9f3d..000000000000
--- a/plugin/caffe/caffe_data_iter.cc
+++ /dev/null
@@ -1,273 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2015 by Contributors
- * \file caffe_data_iter.cc
- * \brief register mnist iterator
-*/
-#include <sys/time.h>
-#include <caffe/proto/caffe.pb.h>
-#include <dmlc/parameter.h>
-#include <atomic>
-
-#include "caffe_common.h"
-#include "caffe_stream.h"
-#include "caffe_fieldentry.h"
-#include "caffe_blob.h"
-#include "../../src/io/inst_vector.h"
-#include "../../src/io/iter_prefetcher.h"
-
-#define CHECK_NEXT_TIMING
-
-#ifdef CHECK_NEXT_TIMING
-#define IF_CHECK_TIMING(__t$) __t$
-#else
-#define IF_CHECK_TIMING(__t$)
-#endif
-
-namespace mxnet {
-namespace io {
-
-struct CaffeDataParam : public dmlc::Parameter<CaffeDataParam> {
-  /*! \brief protobuf text */
-  ::caffe::LayerParameter prototxt;
-  /*! \brief number of iterations per epoch */
-  int num_examples;
-  /*! \brief data mode */
-  bool flat;
-
-  DMLC_DECLARE_PARAMETER(CaffeDataParam) {
-    DMLC_DECLARE_FIELD(prototxt).set_default("layer{}")
-      .describe("Caffe's layer parameter");
-    DMLC_DECLARE_FIELD(flat).set_default(false)
-      .describe("Augmentation Param: Whether to flat the data into 1D.");
-    DMLC_DECLARE_FIELD(num_examples).set_lower_bound(1).set_default(10000)
-      .describe("Number of examples in the epoch.");
-  }
-};
-
-template<typename Dtype>
-class CaffeDataIter : public IIterator<TBlobBatch> {
- public:
-  explicit CaffeDataIter(int type_flag) : batch_size_(0), channels_(1), width_(1), height_(1)
-                               , type_flag_(type_flag), loc_(0)
-  {}
-  virtual ~CaffeDataIter(void) {}
-
-  // intialize iterator loads data in
-  virtual void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) {
-    std::map<std::string, std::string> kmap(kwargs.begin(), kwargs.end());
-    param_.InitAllowUnknown(kmap);
-
-    // Caffe seems to understand phase inside an "include {}" block
-    if (!param_.prototxt.has_phase()) {
-      if (param_.prototxt.include().size()) {
-        if (param_.prototxt.include(0).has_phase()) {
-          param_.prototxt.set_phase(param_.prototxt.include(0).phase());
-        }
-      }
-    }
-
-    std::string type = param_.prototxt.type();
-    caffe_data_layer_ = caffe::LayerRegistry<Dtype>::CreateLayer(param_.prototxt);
-    CHECK(caffe_data_layer_ != nullptr) << "Failed creating caffe data layer";
-    const size_t top_size = param_.prototxt.top_size();
-    if (top_size > 0) {
-      if (top_size > NR_SUPPORTED_TOP_ITEMS) {
-        LOG(WARNING)
-          << "Too may \"top\" items, only two (one data, one label) are currently supported";
-      }
-      top_.reserve(top_size);
-      for (size_t x = 0; x < top_size; ++x) {
-        ::caffe::Blob<Dtype> *blob = new ::caffe::Blob<Dtype>();
-        cleanup_blobs_.push_back(std::unique_ptr<::caffe::Blob<Dtype>>(blob));
-        top_.push_back(blob);
-      }
-      caffe_data_layer_->SetUp(bottom_, top_);
-      const std::vector<int> &shape = top_[DATA]->shape();
-      const size_t shapeDimCount = shape.size();
-      if (shapeDimCount > 0) {
-        batch_size_ = shape[0];
-        if (shapeDimCount > 1) {
-          channels_ = shape[1];
-          if (shapeDimCount > 2) {
-            width_ = shape[2];
-            if (shapeDimCount > 3) {
-              height_ = shape[3];
-            }
-          }
-        }
-      }
-
-      if (top_size > DATA) {
-        if (param_.flat) {
-          batch_data_ = TBlob(nullptr, mshadow::Shape2(batch_size_,
-                                                       channels_ * width_ * height_),
-                              cpu::kDevCPU, type_flag_);
-        } else {
-          batch_data_ = TBlob(nullptr, mxnet::TShape(top_[DATA]->shape().begin(),
-                                                     top_[DATA]->shape().end()),
-                              cpu::kDevCPU, type_flag_);
-        }
-      }
-      out_.data.clear();
-      if (top_size > LABEL) {
-          batch_label_ = TBlob(nullptr, mxnet::TShape(top_[LABEL]->shape().begin(),
-                                                      top_[LABEL]->shape().end()),
-                               cpu::kDevCPU, type_flag_);
-      }
-      out_.batch_size = batch_size_;
-    }
-  }
-
-  virtual void BeforeFirst(void) {
-    loc_ = 0;
-  }
-
-  virtual bool Next(void) {
-    // MxNet iterator is expected to return CPU-accessible memory
-    if (::caffe::Caffe::mode() != ::caffe::Caffe::CPU) {
-      ::caffe::Caffe::set_mode(::caffe::Caffe::CPU);
-      CHECK_EQ(::caffe::Caffe::mode(), ::caffe::Caffe::CPU);
-    }
-    caffe_data_layer_->Forward(bottom_, top_);
-    CHECK_GT(batch_size_, 0) << "batch size must be greater than zero";
-    CHECK_EQ(out_.batch_size, batch_size_) << "Internal Error: batch size mismatch";
-
-    if (loc_ + batch_size_ <= param_.num_examples) {
-      batch_data_.dptr_ = top_[DATA]->mutable_cpu_data();
-      batch_label_.dptr_ = top_[LABEL]->mutable_cpu_data();
-
-      out_.data.clear();
-      out_.data.push_back(batch_data_);
-      out_.data.push_back(batch_label_);
-      loc_ += batch_size_;
-      return true;
-    }
-
-    return false;
-  }
-
-  virtual const TBlobBatch &Value(void) const {
-    return out_;
-  }
-
- private:
-  /*! \brief indexes into top_ */
-  enum { DATA = 0, LABEL, NR_SUPPORTED_TOP_ITEMS };
-
-  /*! \brief MNISTCass iter params */
-  CaffeDataParam param_;
-  /*! \brief Shape scalar values */
-  index_t batch_size_, channels_, width_, height_;
-  /*! \brief Caffe data layer */
-  boost::shared_ptr<caffe::Layer<Dtype> >  caffe_data_layer_;
-  /*! \brief batch data blob */
-  mxnet::TBlob batch_data_;
-  /*! \brief batch label blob */
-  mxnet::TBlob batch_label_;
-  /*! \brief Output blob data for this iteration */
-  TBlobBatch out_;
-  /*! \brief Bottom and top connection-point blob data */
-  std::vector<::caffe::Blob<Dtype>*> bottom_, top_;
-  /*! \brief Cleanup these blobs on exit */
-  std::list<std::unique_ptr<::caffe::Blob<Dtype>>> cleanup_blobs_;
-  /*! \brief type flag of the tensor blob */
-  const int type_flag_;
-  /*! \brief Blobs done so far */
-  std::atomic<size_t>  loc_;
-};  // class CaffeDataIter
-
-class CaffeDataIterWrapper : public PrefetcherIter {
- public:
-  CaffeDataIterWrapper() : PrefetcherIter(NULL), next_time_(0) {}
-  virtual ~CaffeDataIterWrapper() {
-    IF_CHECK_TIMING(
-      if (next_time_.load() > 0) {
-        LOG(WARNING) << "Caffe data loader was blocked for "
-                     << next_time_.load()
-                     << " ms waiting for incoming data";
-      }
-    )
-  }
-  virtual void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) {
-    // We need to init prefetcher args in order to get dtype
-    this->param_.InitAllowUnknown(kwargs);
-    if (!this->param_.dtype) this->param_.dtype = mshadow::kFloat32;
-    switch (this->param_.dtype.value()) {
-      case mshadow::kFloat32:
-        this->loader_.reset(new CaffeDataIter<float>(this->param_.dtype.value()));
-        break;
-      case mshadow::kFloat64:
-        this->loader_.reset(new CaffeDataIter<double>(this->param_.dtype.value()));
-        break;
-      case mshadow::kFloat16:
-        LOG(FATAL) << "float16 layer is not supported by caffe";
-        return;
-      case mshadow::kBfloat16:
-        LOG(FATAL) << "bfloat16 layer is not supported by caffe";
-        return;
-      default:
-        LOG(FATAL) << "Unsupported type " << this->param_.dtype.value();
-        return;
-    }
-    PrefetcherIter::Init(kwargs);
-    this->param_.prefetch_buffer = 1;
-  }
-  virtual void BeforeFirst(void) {
-    return PrefetcherIter::BeforeFirst();
-  }
-  virtual bool Next(void) {
-    IF_CHECK_TIMING(
-      const uint64_t start_time = GetTickCountMS();
-    )
-    const bool rc = PrefetcherIter::Next();
-    IF_CHECK_TIMING(
-      const uint64_t diff_time  = GetTickCountMS() - start_time;
-      next_time_.fetch_add(diff_time);
-    )
-    return rc;
-  }
-
- protected:
-  IF_CHECK_TIMING(
-    static uint64_t GetTickCountMS() {
-      struct timeval tv;
-      gettimeofday(&tv, 0);
-      return uint64_t( tv.tv_sec ) * 1000 + tv.tv_usec / 1000;
-    }
-  )
-
-  /*! \brief milliseconds spent in Next() */
-  std::atomic<uint64_t> next_time_;
-};  // class CaffeDataIterWrapper
-
-DMLC_REGISTER_PARAMETER(CaffeDataParam);
-
-MXNET_REGISTER_IO_ITER(CaffeDataIter)
-.describe("Create MxNet iterator for a Caffe data layer.")
-.add_arguments(CaffeDataParam::__FIELDS__())
-.add_arguments(PrefetcherParam::__FIELDS__())
-.set_body([]() {
-    return new CaffeDataIterWrapper();
-});
-
-}  // namespace io
-}  // namespace mxnet
diff --git a/plugin/caffe/caffe_fieldentry.h b/plugin/caffe/caffe_fieldentry.h
deleted file mode 100644
index f97b76519e0e..000000000000
--- a/plugin/caffe/caffe_fieldentry.h
+++ /dev/null
@@ -1,113 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file caffe_fieldentry.h
- * \brief Implement FieldEntry<caffe::LayerParameter>
- * \author Haoran Wang
- */
-#ifndef PLUGIN_CAFFE_CAFFE_FIELDENTRY_H_
-#define PLUGIN_CAFFE_CAFFE_FIELDENTRY_H_
-
-#include <caffe/proto/caffe.pb.h>
-#include <dmlc/parameter.h>
-#include <dmlc/base.h>
-#include <dmlc/json.h>
-#include <dmlc/logging.h>
-#include <dmlc/type_traits.h>
-#include <google/protobuf/message.h>
-#include <google/protobuf/text_format.h>
-
-#include <cstddef>
-#include <cstdlib>
-#include <sstream>
-#include <limits>
-#include <map>
-#include <set>
-#include <typeinfo>
-#include <string>
-#include <vector>
-#include <algorithm>
-#include <utility>
-
-#include <caffe/util/io.hpp>
-namespace dmlc {
-namespace parameter {
-
-// specialize define for Layer Parameter
-template<>
-class FieldEntry<caffe::LayerParameter>
-    : public FieldEntryBase<FieldEntry<caffe::LayerParameter>, caffe::LayerParameter> {
- public:
-  // parent class
-  typedef FieldEntryBase<FieldEntry<caffe::LayerParameter>, caffe::LayerParameter> Parent;
-
-
-  bool ReadProtoFromTextContent(const std::string& text,
-                                ::google::protobuf::Message* proto) const {
-    bool success = google::protobuf::TextFormat::ParseFromString(text, proto);
-    return success;
-  }
-
-  /**
-   * /brief Customize set method for LayerParameter
-   * /tparam value string of caffe's layer configuration
-   * */
-  virtual void Set(void *head, const std::string &value) const {
-    caffe::NetParameter net_param;
-    if (!ReadProtoFromTextContent(value, &net_param))
-      CHECK(false)<< "Caffe Net Prototxt: " << value << "Initialized Failed";
-
-    CHECK_EQ(net_param.layer_size(), 1) << "Prototxt" << value <<" more than a layer";
-    caffe::LayerParameter *layer_param = new caffe::LayerParameter(net_param.layer(0));
-    this->Get(head) = (*layer_param);
-  }
-
-  virtual void PrintValue(std::ostream &os, caffe::LayerParameter value) const { // NOLINT(*)
-  }
-
-  virtual void PrintDefaultValueString(std::ostream &os) const {  // NOLINT(*)
-    std::string s;
-    caffe::NetParameter np;
-    // Avoid wasting time making a copy -- just push in out default object's pointer
-    np.mutable_layer()->AddAllocated(const_cast<::caffe::LayerParameter *>(&default_value_));
-    google::protobuf::TextFormat::PrintToString(np, &s);
-    np.mutable_layer()->ReleaseLast();
-    os << '\'' << s << '\'';
-  }
-
-  // override set_default
-  inline FieldEntry<caffe::LayerParameter> &set_default(const std::string &value) {
-    caffe::NetParameter net_param;
-    if (!ReadProtoFromTextContent(value, &net_param))
-      CHECK(false)<< "Caffe Net Prototxt: " << value << "Initialized Failed";
-
-    CHECK_EQ(net_param.layer_size(), 1) << "Protoxt " << value <<" is more than one layer";
-    default_value_ = caffe::LayerParameter(net_param.layer(0));
-    has_default_ = true;
-    // return self to allow chaining
-    return this->self();
-  }
-};
-
-}  // namespace parameter
-}  // namespace dmlc
-
-#endif  // PLUGIN_CAFFE_CAFFE_FIELDENTRY_H_
diff --git a/plugin/caffe/caffe_loss-inl.h b/plugin/caffe/caffe_loss-inl.h
deleted file mode 100644
index 98c714612dca..000000000000
--- a/plugin/caffe/caffe_loss-inl.h
+++ /dev/null
@@ -1,303 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file caffe_loss-inl.h
- * \brief Caffe Operator
- * \author Haoran Wang
-*/
-#ifndef PLUGIN_CAFFE_CAFFE_LOSS_INL_H_
-#define PLUGIN_CAFFE_CAFFE_LOSS_INL_H_
-
-#include <caffe/proto/caffe.pb.h>
-#include <dmlc/logging.h>
-#include <dmlc/parameter.h>
-#include <mxnet/operator.h>
-
-#include <map>
-#include <vector>
-#include <string>
-#include <utility>
-
-#include "../../src/operator/operator_common.h"
-#include "caffe_common.h"
-#include "caffe_stream.h"
-#include "caffe_fieldentry.h"
-#include "caffe_blob.h"
-
-namespace mxnet {
-namespace op {
-
-struct CaffeLossParam : public dmlc::Parameter<CaffeLossParam> {
-  ::caffe::LayerParameter prototxt;
-  int num_data, num_out;
-  float grad_scale;
-
-  DMLC_DECLARE_PARAMETER(CaffeLossParam) {
-    DMLC_DECLARE_FIELD(prototxt).set_default("layer{}")
-    .describe("Caffe's layer parameter");
-    DMLC_DECLARE_FIELD(num_data).set_range(0, 100).set_default(2)
-    .describe("Operator input number");
-    DMLC_DECLARE_FIELD(num_out).set_range(0, 100).set_default(1)
-    .describe("Operator output number");
-    DMLC_DECLARE_FIELD(grad_scale)
-    .set_default(1.0f)
-    .describe("Scale the gradient by a float factor (a.k.a weight of this loss).");
-  }
-};
-
-/**
- * \brief this is the implementation of caffe operator in caffe.
- * \tparam xpu the device that the op will be executed on.
- */
-template<typename xpu, typename Dtype>
-class CaffeLoss : public Operator {
- public:
-  explicit CaffeLoss(CaffeLossParam p):param_(p),
-                                       setup_(false) {
-    std::string type = param_.prototxt.type();
-    caffeOp_ = caffe::LayerRegistry<Dtype>::CreateLayer(param_.prototxt);
-    grad_scale_ = (Dtype)param_.grad_scale;
-
-    caffe::InitCaffeBlobs<Dtype>(&bot_, param_.num_data);
-    caffe::InitCaffeBlobs<Dtype>(&top_, param_.num_out);
-    flags_.resize(param_.num_data);
-  }
-
-  ~CaffeLoss() {
-    caffe::DelCaffeBlobs(&bot_, param_.num_data);
-    caffe::DelCaffeBlobs(&top_, param_.num_out);
-  }
-
-  virtual void Forward(const OpContext &ctx,
-                       const std::vector<TBlob> &in_data,
-                       const std::vector<OpReqType> &req,
-                       const std::vector<TBlob> &out_data,
-                       const std::vector<TBlob> &aux_args) {
-    // Set mode before forward
-    caffe::CaffeMode::SetMode<xpu>();
-    using ::caffe::Blob;
-    using std::vector;
-    using namespace mshadow;
-    using namespace mshadow::expr;
-    for (uint32_t i = 0; i < req.size(); ++i)
-      CHECK_EQ(req[i], kWriteTo);
-
-    CHECK_EQ(in_data.size(), param_.num_data);
-    CHECK_EQ(out_data.size(), param_.num_out);
-
-#if defined(__CUDACC__)
-    Stream<xpu> *s = ctx.get_stream<xpu>();
-    // TODO(Haoran): when need cublas handle in stream?
-    CHECK_EQ(s->blas_handle_ownership_, Stream<xpu>::OwnHandle)
-          << "Must init CuBLAS handle in stream";
-#endif  // __CUDACC__
-
-    caffe::TBlob2CaffeBlob<xpu, Dtype>(caffe::Data,
-                                      bot_.begin(),
-                                      in_data.begin(),
-                                      param_.num_data);
-    caffe::TBlob2CaffeBlob<xpu, Dtype>(caffe::Data,
-                                      top_.begin(),
-                                      out_data.begin(),
-                                      param_.num_out);
-    CaffeOpSetup();
-    if (ctx.is_train)
-      MXCAFFELAYER(caffeOp_, Dtype)->SetPhase(::caffe::TRAIN);
-    else
-      MXCAFFELAYER(caffeOp_, Dtype)->SetPhase(::caffe::TEST);
-    caffeOp_->Forward(bot_, top_);
-
-#if defined(__CUDACC__)
-    // Sync cpu data to gpu data
-    for (uint32_t i = 0; i < top_.size(); ++i)
-      top_[i]->gpu_data();
-
-    CHECK_EQ(cudaStreamSynchronize(NULL), cudaSuccess);
-#endif  // __CUDACC__
-  }
-
-  // Set up caffe op with real data
-  void CaffeOpSetup() {
-    if (!setup_) {
-      setup_ = true;
-      caffeOp_->SetUp(bot_, top_);
-    }
-  }
-
-  virtual void Backward(const OpContext &ctx,
-                        const std::vector<TBlob> &out_grad,
-                        const std::vector<TBlob> &in_data,
-                        const std::vector<TBlob> &out_data,
-                        const std::vector<OpReqType> &req,
-                        const std::vector<TBlob> &in_grad,
-                        const std::vector<TBlob> &aux_args) {
-    // Set mode before backward
-    caffe::CaffeMode::SetMode<xpu>();
-    using namespace mshadow;
-    using namespace mshadow::expr;
-    CHECK_EQ(out_grad.size(), param_.num_out);
-    for (int i = 0; i < param_.num_data; ++i)
-      CHECK(req[i] != kAddTo) << "caffe doesn't accm diff on bottom data";
-    CHECK(in_data.size() == param_.num_data);
-
-#if defined(__CUDACC__)
-    Stream<xpu> *s = ctx.get_stream<xpu>();
-    // TODO(Haoran): when need cublas handle in stream?
-    CHECK_EQ(s->blas_handle_ownership_, Stream<xpu>::OwnHandle)
-          << "Must init CuBLAS handle in stream";
-#endif  // __CUDACC__
-
-    caffe::TBlob2CaffeBlob<xpu, Dtype>(caffe::Grad,
-                                      bot_.begin(),
-                                      in_grad.begin(),
-                                      param_.num_data);
-    // Pass grad scale to caffe blob
-    MXCAFFEBLOB(top_[0], Dtype)->set_cpu_diff(&grad_scale_);
-
-    // Set BP flag
-    for (int i = 0; i < param_.num_data; ++i)
-      flags_[i] = req[i] != kNullOp;
-
-    caffeOp_->Backward(top_, flags_, bot_);
-
-#if defined(__CUDACC__)
-    // Sync cpu diff to gpu diff
-    for (uint32_t i = 0; i < bot_.size(); ++i)
-      bot_[i]->gpu_diff();
-
-    CHECK_EQ(cudaStreamSynchronize(NULL), cudaSuccess);
-#endif  // __CUDACC__
-  }
-
- private:
-  CaffeLossParam param_;
-  ::caffe::Layer<Dtype> *caffeOp_;
-  Dtype grad_scale_;
-  std::vector< ::caffe::Blob<Dtype> *> bot_, top_;
-  std::vector<bool> flags_;
-  bool setup_;
-};  // class CaffeLoss
-
-// Decalre Factory function, used for dispatch specialization
-template<typename xpu>
-Operator* CreateOp(CaffeLossParam param, int);
-
-#if DMLC_USE_CXX11
-class CaffeLossProp : public OperatorProperty {
- public:
-  std::vector<std::string> ListArguments() const override {
-    return {"data", "label"};
-  }
-
-  void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override {
-    param_.Init(kwargs);
-    CHECK_EQ(param_.num_out, 1);
-    CHECK_EQ(param_.num_data, 2);
-
-    // Fetch grad_scale from prototxt
-    if ((param_.prototxt.loss_weight_size() > 0))
-      param_.grad_scale = param_.prototxt.loss_weight(0);
-  }
-
-  std::map<std::string, std::string> GetParams() const override {
-    return param_.__DICT__();
-  }
-
-  /*brief Set up caffeop to infer output shape*/
-  bool InferShape(mxnet::ShapeVector *in_shape,
-                  mxnet::ShapeVector *out_shape,
-                  mxnet::ShapeVector *aux_shape) const override {
-    using namespace mshadow;
-    using ::caffe::Blob;
-    using std::vector;
-    if (caffeOp_ == NULL)
-      caffeOp_ = caffe::LayerRegistry<float>::CreateLayer(param_.prototxt);
-
-    CHECK_GE(in_shape->size(), param_.num_data);
-    // Initialize empty bottom & top blobs for caffeOp setup
-    vector<Blob<float> *> bot_blobs, top_blobs;
-
-    for (int i = 0; i < param_.num_data; ++i) {
-      mxnet::TShape tshape = (*in_shape)[i];
-      if (tshape.ndim() == 0) return false;
-      auto blob_ptr = new Blob<float>();
-      blob_ptr->Reshape(caffe::TShape2Vector(tshape));
-      bot_blobs.push_back(blob_ptr);
-    }
-
-    for (int i = 0; i < param_.num_out; ++i)
-      top_blobs.push_back(new Blob<float>());
-
-    caffeOp_->SetUp(bot_blobs, top_blobs);
-    CHECK_EQ(in_shape->size(), caffeOp_->blobs().size() + param_.num_data);
-    // Initialize out shapes
-    out_shape->clear();
-    for (auto blob : top_blobs) {
-      mxnet::TShape tshape = caffe::Vector2TShape(blob->shape());
-      out_shape->push_back(tshape);
-    }
-
-    for (auto blob_ptr : bot_blobs)
-      delete blob_ptr;
-    for (auto blob_ptr : top_blobs)
-      delete blob_ptr;
-
-    return true;
-  }
-
-  OperatorProperty* Copy() const override {
-    auto copy_prop = new CaffeLossProp();
-    copy_prop->param_ = this->param_;
-    return copy_prop;
-  }
-
-  std::string TypeString() const override {
-    return "CaffeLoss";
-  }
-
-  std::vector<int> DeclareBackwardDependency(
-    const std::vector<int> &out_grad,
-    const std::vector<int> &in_data,
-    const std::vector<int> &out_data) const override {
-    std::vector<int> dep;
-    dep.insert(dep.end(), in_data.begin(), in_data.end());
-    dep.insert(dep.end(), out_data.begin(), out_data.end());
-    return dep;
-  }
-
-  Operator* CreateOperator(Context ctx) const override {
-    LOG(FATAL) << "Not Implemented.";
-    return NULL;
-  }
-
-  Operator* CreateOperatorEx(Context ctx, mxnet::ShapeVector *in_shape,
-                             std::vector<int> *in_type) const override;
-
-
- private:
-  mutable CaffeLossParam param_;
-  mutable ::caffe::Layer<float> *caffeOp_;
-};  // class CaffeLossSymbol
-#endif
-
-}  // namespace op
-}  // namespace mxnet
-#endif  // PLUGIN_CAFFE_CAFFE_LOSS_INL_H_
diff --git a/plugin/caffe/caffe_loss.cc b/plugin/caffe/caffe_loss.cc
deleted file mode 100644
index c2d1c1b9bab9..000000000000
--- a/plugin/caffe/caffe_loss.cc
+++ /dev/null
@@ -1,73 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file caffe_loss.cc
- * \brief caffe loss
- * \author Haoran Wang
-*/
-#include "./caffe_loss-inl.h"
-
-namespace mxnet {
-namespace op {
-template<>
-Operator *CreateOp<cpu>(CaffeLossParam param, int dtype) {
-  Operator *op = NULL;
-  switch (dtype) {
-  case mshadow::kFloat32:
-    op = new CaffeLoss<cpu, float>(param);
-    break;
-  case mshadow::kFloat64:
-    op = new CaffeLoss<cpu, double>(param);
-    break;
-  case mshadow::kFloat16:
-    LOG(FATAL) << "float16 layer is not supported by caffe";
-    break;
-  case mshadow::kBfloat16:
-    LOG(FATAL) << "bfloat16 layer is not supported by caffe";
-    return;
-  default:
-    LOG(FATAL) << "Unsupported type " << dtype;
-  }
-  return op;
-}
-
-// DO_BIND_DISPATCH comes from static_operator_common.h
-Operator *CaffeLossProp::CreateOperatorEx(Context ctx, mxnet::ShapeVector *in_shape,
-                                     std::vector<int> *in_type) const {
-  std::vector<int> out_type, aux_type;
-  mxnet::ShapeVector out_shape, aux_shape;
-  out_type.resize(this->ListOutputs().size());
-  out_shape.resize(this->ListOutputs().size());
-  aux_type.resize(this->ListAuxiliaryStates().size());
-  aux_shape.resize(this->ListAuxiliaryStates().size());
-  CHECK(InferType(in_type, &out_type, &aux_type));
-  CHECK(InferShape(in_shape, &out_shape, &aux_shape));
-  DO_BIND_DISPATCH(CreateOp, param_, (*in_type)[0]);
-}
-
-DMLC_REGISTER_PARAMETER(CaffeLossParam);
-
-MXNET_REGISTER_OP_PROPERTY(CaffeLoss, CaffeLossProp)
-.describe("Caffe loss layer")
-.add_arguments(CaffeLossParam::__FIELDS__());
-
-}  // namespace op
-}  // namespace mxnet
diff --git a/plugin/caffe/caffe_loss.cu b/plugin/caffe/caffe_loss.cu
deleted file mode 100644
index ff81e1c1ffa6..000000000000
--- a/plugin/caffe/caffe_loss.cu
+++ /dev/null
@@ -1,53 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file caffe_loss_gpu.cc
- * \brief caffe loss
- * \author Haoran Wang
-*/
-#include "./caffe_loss-inl.h"
-
-namespace mxnet {
-namespace op {
-template<>
-Operator* CreateOp<gpu>(CaffeLossParam param, int dtype) {
-  Operator *op = NULL;
-  switch (dtype) {
-  case mshadow::kFloat32:
-    op = new CaffeLoss<gpu, float>(param);
-    break;
-  case mshadow::kFloat64:
-    op = new CaffeLoss<gpu, double>(param);
-    break;
-  case mshadow::kFloat16:
-    LOG(FATAL) << "float16 layer is not supported by caffe";
-    break;
-  case mshadow::kBfloat16:
-    LOG(FATAL) << "bfloat16 layer is not supported by caffe";
-    break;
-  default:
-    LOG(FATAL) << "Unsupported type " << dtype;
-  }
-  return op;
-}
-
-}  // namespace op
-}  // namespace mxnet
diff --git a/plugin/caffe/caffe_op-inl.h b/plugin/caffe/caffe_op-inl.h
deleted file mode 100644
index b4ab0926199c..000000000000
--- a/plugin/caffe/caffe_op-inl.h
+++ /dev/null
@@ -1,348 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file caffe_op-inl.h
- * \brief Caffe Operator
- * \author Haoran Wang
-*/
-#ifndef PLUGIN_CAFFE_CAFFE_OP_INL_H_
-#define PLUGIN_CAFFE_CAFFE_OP_INL_H_
-
-#include <dmlc/logging.h>
-#include <dmlc/parameter.h>
-#include <mxnet/operator.h>
-#include <caffe/proto/caffe.pb.h>
-
-#include <map>
-#include <vector>
-#include <string>
-#include <utility>
-
-#include "../../src/operator/operator_common.h"
-#include "caffe_common.h"
-#include "caffe_stream.h"
-#include "caffe_fieldentry.h"
-#include "caffe_blob.h"
-
-namespace mxnet {
-namespace op {
-
-struct CaffeOpParam : public dmlc::Parameter<CaffeOpParam> {
-  ::caffe::LayerParameter prototxt;
-  int num_data, num_weight, num_out;
-
-  DMLC_DECLARE_PARAMETER(CaffeOpParam) { DMLC_DECLARE_FIELD(prototxt).set_default("layer{}")
-    .describe("Caffe's layer parameter");
-    DMLC_DECLARE_FIELD(num_data).set_default(1)
-    .describe("Operator input number");
-    DMLC_DECLARE_FIELD(num_weight).set_default(0)
-    .describe("Weight number");
-    DMLC_DECLARE_FIELD(num_out).set_default(1)
-    .describe("Operator output number");
-  }
-};
-
-
-/**
- * \brief this is the implementation of caffe operator in caffe.
- * \tparam xpu the device that the op will be executed on.
- */
-template<typename xpu, typename Dtype>
-class CaffeOp : public Operator {
- public:
-  explicit CaffeOp(CaffeOpParam p):param_(p),
-                                   init_w_(false),
-                                   init_wd_(false),
-                                   setup_(false) {
-    std::string type = param_.prototxt.type();
-    caffeOp_ = caffe::LayerRegistry<Dtype>::CreateLayer(param_.prototxt);
-
-    caffe::InitCaffeBlobs<Dtype>(&bot_, param_.num_data);
-    caffe::InitCaffeBlobs<Dtype>(&top_, param_.num_out);
-    caffe::InitCaffeBlobs<Dtype>(&wei_, param_.num_weight);
-    flags_.resize(param_.num_data);
-  }
-
-  ~CaffeOp() {
-    caffe::DelCaffeBlobs(&bot_, param_.num_data);
-    caffe::DelCaffeBlobs(&top_, param_.num_out);
-    caffe::DelCaffeBlobs(&wei_, param_.num_weight);
-  }
-
-  virtual void Forward(const OpContext &ctx,
-                       const std::vector<TBlob> &in_data,
-                       const std::vector<OpReqType> &req,
-                       const std::vector<TBlob> &out_data,
-                       const std::vector<TBlob> &aux_args) {
-    // Set mode before forward
-    caffe::CaffeMode::SetMode<xpu>();
-    using ::caffe::Blob;
-    using std::vector;
-    using namespace mshadow;
-    using namespace mshadow::expr;
-    for (uint32_t i = 0; i < req.size(); ++i)
-      CHECK_EQ(req[i], kWriteTo);
-    int expected_num_data = param_.num_weight + param_.num_data;
-    CHECK_EQ(in_data.size(), expected_num_data);
-    CHECK_EQ(out_data.size(), param_.num_out);
-
-#if defined(__CUDACC__)
-    Stream<xpu> *s = ctx.get_stream<xpu>();
-    // TODO(Haoran): when need cublas handle in stream?
-    CHECK_EQ(s->blas_handle_ownership_, Stream<xpu>::OwnHandle)
-          << "Must init CuBLAS handle in stream";
-#endif  // __CUDACC__
-
-    caffe::TBlob2CaffeBlob<xpu, Dtype>(caffe::Data,
-                                       bot_.begin(),
-                                       in_data.begin(),
-                                       param_.num_data);
-    caffe::TBlob2CaffeBlob<xpu, Dtype>(caffe::Data,
-                                       top_.begin(),
-                                       out_data.begin(),
-                                       param_.num_out);
-    CaffeOpSetup();
-    // Init caffe's weight pointer
-    if (!init_w_) {
-      init_w_ = true;
-      caffe::TBlob2CaffeBlob<xpu, Dtype>(caffe::Data,
-                                         wei_.begin(),
-                                         in_data.begin() + param_.num_data,
-                                         param_.num_weight);
-      caffe::SetOpBlobs(caffeOp_, wei_);
-    }
-    if (ctx.is_train)
-      MXCAFFELAYER(caffeOp_, Dtype)->SetPhase(::caffe::TRAIN);
-    else
-      MXCAFFELAYER(caffeOp_, Dtype)->SetPhase(::caffe::TEST);
-    caffeOp_->Forward(bot_, top_);
-
-#if defined(__CUDACC__)
-    // Sync cpu data to gpu data
-    for (uint32_t i = 0; i < top_.size(); ++i)
-      top_[i]->gpu_data();
-
-    CHECK_EQ(cudaStreamSynchronize(NULL), cudaSuccess);
-#endif  // __CUDACC__
-  }
-
-  // Set up caffe op with real data
-  void CaffeOpSetup() {
-    if (!setup_) {
-      setup_ = true;
-      caffeOp_->SetUp(bot_, top_);
-    }
-  }
-
-  virtual void Backward(const OpContext &ctx,
-                        const std::vector<TBlob> &out_grad,
-                        const std::vector<TBlob> &in_data,
-                        const std::vector<TBlob> &out_data,
-                        const std::vector<OpReqType> &req,
-                        const std::vector<TBlob> &in_grad,
-                        const std::vector<TBlob> &aux_args) {
-    // Set mode before backward
-    caffe::CaffeMode::SetMode<xpu>();
-    using namespace mshadow;
-    using namespace mshadow::expr;
-    CHECK_EQ(out_grad.size(), param_.num_out);
-    for (int i = 0; i < param_.num_data; ++i)
-      CHECK(req[i] != kAddTo) << "caffe doesn't accm diff on bottom data";
-
-    int expected_num_data = param_.num_weight + param_.num_data;
-    CHECK(in_data.size() == expected_num_data && in_grad.size() == expected_num_data);
-    CHECK_EQ(req.size(), expected_num_data);
-
-    Stream<xpu> *s = ctx.get_stream<xpu>();
-#if defined(__CUDACC__)
-    // TODO(Haoran): when need cublas handle in stream?
-    CHECK_EQ(s->blas_handle_ownership_, Stream<xpu>::OwnHandle)
-          << "Must init CuBLAS handle in stream";
-#endif  // __CUDACC__
-
-    caffe::TBlob2CaffeBlob<xpu, Dtype>(caffe::Grad,
-                                       bot_.begin(),
-                                       in_grad.begin(),
-                                       param_.num_data);
-    caffe::TBlob2CaffeBlob<xpu, Dtype>(caffe::Grad,
-                                       top_.begin(),
-                                       out_grad.begin(),
-                                       param_.num_out);
-
-    // Init caffe's gradient pointer
-    if (!init_wd_) {
-      init_wd_ = true;
-      caffe::TBlob2CaffeBlob<xpu, Dtype>(caffe::Grad,
-                                         wei_.begin(),
-                                         in_grad.begin() + param_.num_data,
-                                         param_.num_weight);
-    }
-
-    // Handle OpReqType of weights
-    for (int i = param_.num_data; i < expected_num_data; ++i)
-      HandleOpReq(s, req[i], in_grad[i]);
-
-    // Set BP flag
-    for (int i = 0; i < param_.num_data; ++i)
-      flags_[i] = req[i] != kNullOp;
-
-    caffeOp_->Backward(top_, flags_, bot_);
-
-#if defined(__CUDACC__)
-    // Sync cpu diff to gpu diff
-    for (uint32_t i = 0; i < bot_.size(); ++i)
-      bot_[i]->gpu_diff();
-
-    CHECK_EQ(cudaStreamSynchronize(NULL), cudaSuccess);
-#endif  // __CUDACC__
-  }
-
-  void HandleOpReq(mshadow::Stream<xpu>*s, OpReqType req, const TBlob& in_g) {
-    if ((req == kWriteInplace) || (req == kWriteTo)) {
-      mshadow::Tensor<xpu, 2, Dtype> grad = in_g.FlatTo2D<xpu, Dtype>(s);
-      grad = 0;
-    }
-  }
-
- private:
-  CaffeOpParam param_;
-  ::caffe::Layer<Dtype> *caffeOp_;
-  std::vector< ::caffe::Blob<Dtype> *> bot_, top_, wei_;
-  std::vector<bool> flags_;
-  bool init_w_, init_wd_, setup_;
-};  // class CaffeOp
-
-// Decalre Factory function, used for dispatch specialization
-template<typename xpu>
-Operator* CreateOp(CaffeOpParam param, int);
-
-#if DMLC_USE_CXX11
-class CaffeOpProp : public OperatorProperty {
- public:
-  std::vector<std::string> ListArguments() const override {
-    std::vector<std::string> res;
-    for (int i = 0; i < param_.num_data; ++i)
-      res.push_back(std::string("data_") + std::to_string(i));
-
-    for (int i = 0; i < param_.num_weight; ++i) {
-      if (i == 0)
-        res.push_back(std::to_string(i) + "_weight");
-      else
-        res.push_back(std::to_string(i) + "_bias");
-    }
-    return res;
-  }
-
-  std::vector<std::string> ListOutputs() const override {
-    if (param_.num_out > 1) {
-      std::vector<std::string> ret;
-      for (int i = 0; i < param_.num_out; ++i)
-        ret.push_back("output" + std::to_string(i));
-      return ret;
-    } else {
-      return {"output"};
-    }
-  }
-
-  void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override {
-    param_.Init(kwargs);
-  }
-
-  std::map<std::string, std::string> GetParams() const override {
-    return param_.__DICT__();
-  }
-
-  /*
-   * \brief Set up caffeOp_ to infer weights & output shape
-   * \brief Initialize param_'s in & out dims
-   */
-  bool InferShape(mxnet::ShapeVector *in_shape,
-                  mxnet::ShapeVector *out_shape,
-                  mxnet::ShapeVector *aux_shape) const override {
-    if (caffeOp_ == NULL)
-      caffeOp_ = caffe::LayerRegistry<float>::CreateLayer(param_.prototxt);
-    using namespace mshadow;
-    using ::caffe::Blob;
-    using std::vector;
-    CHECK_GE(in_shape->size(), param_.num_data);
-    // Initialize emtryp bottom & top blobs for caffeop
-    vector<Blob<float> *> bot_blobs, top_blobs;
-
-    for (int i = 0; i < param_.num_data; ++i) {
-      mxnet::TShape tshape = (*in_shape)[i];
-      if (tshape.ndim() == 0) return false;
-      auto blob_ptr = new Blob<float>();
-      blob_ptr->Reshape(caffe::TShape2Vector(tshape));
-      bot_blobs.push_back(blob_ptr);
-    }
-
-    for (int i = 0; i < param_.num_out; ++i)
-      top_blobs.push_back(new Blob<float>());
-
-    caffeOp_->SetUp(bot_blobs, top_blobs);
-    CHECK_EQ(in_shape->size(), caffeOp_->blobs().size() + param_.num_data);
-    // Set weight shape
-    CHECK_EQ(param_.num_weight, caffeOp_->blobs().size());
-    for (int i = 0; i < param_.num_weight ; ++i) {
-      mxnet::TShape tshape = caffe::Vector2mxnet::TShape(caffeOp_->blobs()[i]->shape());
-      SHAPE_ASSIGN_CHECK(*in_shape, i + param_.num_data, tshape);
-    }
-    // Initialize out shapes
-    out_shape->clear();
-    for (auto blob : top_blobs) {
-      mxnet::TShape tshape = caffe::Vector2mxnet::TShape(blob->shape());
-      out_shape->push_back(tshape);
-    }
-
-    for (auto blob_ptr : bot_blobs)
-      delete blob_ptr;
-    for (auto blob_ptr : top_blobs)
-      delete blob_ptr;
-    return true;
-  }
-
-  OperatorProperty* Copy() const override {
-    auto copy_prop = new CaffeOpProp();
-    copy_prop->param_ = this->param_;
-    return copy_prop;
-  }
-
-  std::string TypeString() const override {
-    return "CaffeOp";
-  }
-
-  Operator* CreateOperator(Context ctx) const override {
-    LOG(FATAL) << "Not Implemented.";
-    return NULL;
-  }
-
-  Operator* CreateOperatorEx(Context ctx, mxnet::ShapeVector *in_shape,
-                             std::vector<int> *in_type) const override;
-
- private:
-  mutable CaffeOpParam param_;
-  mutable ::caffe::Layer<float> *caffeOp_;
-};  // class CaffeOpSymbol
-#endif
-
-}  // namespace op
-}  // namespace mxnet
-#endif  // PLUGIN_CAFFE_CAFFE_OP_INL_H_
diff --git a/plugin/caffe/caffe_op.cc b/plugin/caffe/caffe_op.cc
deleted file mode 100644
index db80f4a90f74..000000000000
--- a/plugin/caffe/caffe_op.cc
+++ /dev/null
@@ -1,74 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file caffe_op.cc
- * \brief caffe operator
- * \author Haoran Wang
-*/
-#include "./caffe_op-inl.h"
-namespace mxnet {
-namespace op {
-
-template<>
-Operator* CreateOp<cpu>(CaffeOpParam param, int dtype) {
-  Operator *op = NULL;
-  switch (dtype) {
-  case mshadow::kFloat32:
-    op = new CaffeOp<cpu, float>(param);
-    break;
-  case mshadow::kFloat64:
-    op = new CaffeOp<cpu, double>(param);
-    break;
-  case mshadow::kFloat16:
-    LOG(FATAL) << "float16 layer is not supported by caffe";
-    break;
-  case mshadow::kBfloat16:
-    LOG(FATAL) << "bfloat16 layer is not supported by caffe";
-    break;
-  default:
-    LOG(FATAL) << "Unsupported type " << dtype;
-  }
-  return op;
-}
-
-// DO_BIND_DISPATCH comes from static_operator_common.h
-Operator *CaffeOpProp::CreateOperatorEx(Context ctx, mxnet::ShapeVector *in_shape,
-                                     std::vector<int> *in_type) const {
-  std::vector<int> out_type, aux_type;
-  mxnet::ShapeVector out_shape, aux_shape;
-  out_type.resize(this->ListOutputs().size());
-  out_shape.resize(this->ListOutputs().size());
-  aux_type.resize(this->ListAuxiliaryStates().size());
-  aux_shape.resize(this->ListAuxiliaryStates().size());
-  CHECK(InferType(in_type, &out_type, &aux_type));
-  CHECK(InferShape(in_shape, &out_shape, &aux_shape));
-  DO_BIND_DISPATCH(CreateOp, param_, (*in_type)[0]);
-}
-
-DMLC_REGISTER_PARAMETER(CaffeOpParam);
-
-MXNET_REGISTER_OP_PROPERTY(CaffeOp, CaffeOpProp)
-.describe("Apply caffe operator")
-.add_argument("data", "Symbol[]", "List of tensors")
-.add_arguments(CaffeOpParam::__FIELDS__());
-
-}  // namespace op
-}  // namespace mxnet
diff --git a/plugin/caffe/caffe_op.cu b/plugin/caffe/caffe_op.cu
deleted file mode 100644
index 7d4017b33ad5..000000000000
--- a/plugin/caffe/caffe_op.cu
+++ /dev/null
@@ -1,53 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file caffe_operator_gpu.cc
- * \brief caffe operator
- * \author Haoran Wang
-*/
-#include "./caffe_op-inl.h"
-namespace mxnet {
-namespace op {
-
-template<>
-Operator *CreateOp<gpu>(CaffeOpParam param, int dtype) {
-  Operator *op = NULL;
-  switch (dtype) {
-  case mshadow::kFloat32:
-    op = new CaffeOp<gpu, float>(param);
-    break;
-  case mshadow::kFloat64:
-    op = new CaffeOp<gpu, double>(param);
-    break;
-  case mshadow::kFloat16:
-    LOG(FATAL) << "float16 layer is not supported by caffe";
-    break;
-  case mshadow::kBfloat16:
-    LOG(FATAL) << "bfloat16 layer is not supported by caffe";
-    break;
-  default:
-    LOG(FATAL) << "Unsupported type " << dtype;
-  }
-  return op;
-}
-
-}  // namespace op
-}  // namespace mxnet
diff --git a/plugin/caffe/caffe_stream.cc b/plugin/caffe/caffe_stream.cc
deleted file mode 100644
index 823948a8aa2f..000000000000
--- a/plugin/caffe/caffe_stream.cc
+++ /dev/null
@@ -1,37 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file caffe_stream.cc
- * \brief define stream opertors >> and <<
- * \author Haoran Wang
-*/
-#include"caffe_stream.h"
-
-namespace dmlc {
-namespace parameter {
-  std::istringstream &operator>>(std::istringstream &is, ::caffe::LayerParameter &para_) {
-    return is;
-  }
-  std::ostream &operator<<(std::ostream &os, ::caffe::LayerParameter &para_) {
-    return os;
-  }
-}
-}
diff --git a/plugin/caffe/caffe_stream.h b/plugin/caffe/caffe_stream.h
deleted file mode 100644
index 228e3727daed..000000000000
--- a/plugin/caffe/caffe_stream.h
+++ /dev/null
@@ -1,38 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file caffe_stream.h
- * \brief define stream opertors >> and <<
- * \author Haoran Wang
-*/
-#ifndef PLUGIN_CAFFE_CAFFE_STREAM_H_
-#define PLUGIN_CAFFE_CAFFE_STREAM_H_
-
-#include<caffe/proto/caffe.pb.h>
-#include<iostream>
-namespace dmlc {
-namespace parameter {
-  std::istringstream &operator>>(std::istringstream &is, ::caffe::LayerParameter &para_);
-  std::ostream &operator<<(std::ostream &os, ::caffe::LayerParameter &para_);
-}
-}
-
-#endif  // PLUGIN_CAFFE_CAFFE_STREAM_H_
diff --git a/python/mxnet/attribute.py b/python/mxnet/attribute.py
index bed723d69e15..2de8798fccff 100644
--- a/python/mxnet/attribute.py
+++ b/python/mxnet/attribute.py
@@ -14,16 +14,13 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
-
-# coding: utf-8
 """Attribute scoping support for symbolic API."""
-import threading
-import warnings
+import contextvars
 from collections import defaultdict
 
-from .base import string_types, classproperty, with_metaclass, _MXClassPropertyMetaClass
+from .base import string_types
 
-class AttrScope(with_metaclass(_MXClassPropertyMetaClass, object)):
+class AttrScope:
     """Attribute manager for scoping.
 
     User can also inherit this object to change naming behavior.
@@ -33,7 +30,6 @@ class AttrScope(with_metaclass(_MXClassPropertyMetaClass, object)):
     kwargs
         The attributes to set for all symbol creations in the scope.
     """
-    _current = threading.local()
     _subgraph_names = defaultdict(int)
 
     def __init__(self, **kwargs):
@@ -65,37 +61,23 @@ def get(self, attr):
         else:
             return attr if attr else {}
 
-    def __enter__(self):
-        # pylint: disable=protected-access
-        if not hasattr(AttrScope._current, "value"):
-            AttrScope._current.value = AttrScope()
-        self._old_scope = AttrScope._current.value
-        attr = AttrScope._current.value._attr.copy()
+    def __enter__(self):  # pylint: disable=protected-access
+        attr = _current.get()._attr.copy()
         attr.update(self._attr)
         self._attr = attr
-        AttrScope._current.value = self
+        # Token can't be pickled and Token.old_value is Token.MISSING if _current.get() uses default value
+        self._old_scope = _current.get()
+        _current.set(self)
         return self
 
     def __exit__(self, ptype, value, trace):
         assert self._old_scope
-        AttrScope._current.value = self._old_scope
+        _current.set(self._old_scope)
+
 
-    #pylint: disable=no-self-argument
-    @classproperty
-    def current(cls):
-        warnings.warn("AttrScope.current has been deprecated. "
-                      "It is advised to use the `with` statement with AttrScope.",
-                      DeprecationWarning)
-        if not hasattr(AttrScope._current, "value"):
-            cls._current.value = AttrScope()
-        return cls._current.value
+_current = contextvars.ContextVar('namemanager', default=AttrScope())
 
-    @current.setter
-    def current(cls, val):
-        warnings.warn("AttrScope.current has been deprecated. "
-                      "It is advised to use the `with` statement with AttrScope.",
-                      DeprecationWarning)
-        cls._current.value = val
-    #pylint: enable=no-self-argument
 
-AttrScope._current.value = AttrScope()
+def current():
+    """Returns the current name manager."""
+    return _current.get()
diff --git a/python/mxnet/autograd.py b/python/mxnet/autograd.py
index f968275a1390..aac7cbc21a17 100644
--- a/python/mxnet/autograd.py
+++ b/python/mxnet/autograd.py
@@ -28,6 +28,7 @@
 from .ndarray import NDArray, _ndarray_cls
 from .ndarray import _GRAD_REQ_MAP
 from .symbol import Symbol
+from .util import is_np_array
 
 
 def set_recording(is_recording): #pylint: disable=redefined-outer-name
@@ -448,25 +449,30 @@ def __call__(self, *inputs):
             outputs = (outputs,)
 
         key = Function._registry.inc()
+        if is_np_array():
+            from .numpy import ndarray
+            array_cls = ndarray
+        else:
+            array_cls = NDArray
 
         def backward_entry(num_ograds, num_igrads, ptrs, reqs, is_train, _):
             """entry point for backward."""
             # pylint: disable=W0613
             try:
-                output_grads = [NDArray(ctypes.cast(i, NDArrayHandle), writable=False) \
+                output_grads = [array_cls(ctypes.cast(i, NDArrayHandle), writable=False) \
                                 for i in ptrs[:num_ograds]]
-                input_grads = [NDArray(ctypes.cast(i, NDArrayHandle), writable=True) \
+                input_grads = [array_cls(ctypes.cast(i, NDArrayHandle), writable=True) \
                                for i in ptrs[num_ograds:num_ograds+num_igrads]]
                 reqs = [reqs[i] for i in range(num_igrads)]
                 rets = self.backward(*output_grads)
-                if isinstance(rets, NDArray):
+                if isinstance(rets, array_cls):
                     rets = (rets,)
                 assert len(rets) == len(input_grads), \
                     "%s.backward must return exactly the same number " \
                     "of NDArrays as the number of NDArrays arguments to forward." \
                     "Expecting %d got %d"%(self.__class__.name, len(input_grads), len(rets))
                 for igrad, ret, req in zip(input_grads, rets, reqs):
-                    assert isinstance(ret, NDArray), \
+                    assert isinstance(ret, array_cls), \
                         "autograd.Function.backward must return NDArrays, not %s"%type(ret)
                     if req == 0:  # null
                         return True
diff --git a/python/mxnet/base.py b/python/mxnet/base.py
index 9a25d9dc43aa..0b4bdf9a97c2 100644
--- a/python/mxnet/base.py
+++ b/python/mxnet/base.py
@@ -273,69 +273,6 @@ class MXCallbackList(ctypes.Structure):
         ]
 
 
-# Please see: https://stackoverflow.com/questions/5189699/how-to-make-a-class-property
-class _MXClassPropertyDescriptor(object):
-    def __init__(self, fget, fset=None):
-        self.fget = fget
-        self.fset = fset
-
-    def __get__(self, obj, clas=None):
-        if clas is None:
-            clas = type(obj)
-        return self.fget.__get__(obj, clas)()
-
-    def __set__(self, obj, value):
-        if not self.fset:
-            raise MXNetError("cannot use the setter: %s to set attribute" % obj.__name__)
-        if inspect.isclass(obj):
-            type_ = obj
-            obj = None
-        else:
-            type_ = type(obj)
-        return self.fset.__get__(obj, type_)(value)
-
-    def setter(self, func):
-        if not isinstance(func, (classmethod, staticmethod)):
-            func = classmethod(func)
-        self.fset = func
-        return self
-
-
-class _MXClassPropertyMetaClass(type):
-    def __setattr__(cls, key, value):
-        obj = cls.__dict__.get(key)
-        if obj and isinstance(obj, _MXClassPropertyDescriptor):
-            return obj.__set__(cls, value)
-
-        return super(_MXClassPropertyMetaClass, cls).__setattr__(key, value)
-
-
-# with_metaclass function obtained from: https://github.com/benjaminp/six/blob/master/six.py
-# pylint: disable=unused-argument
-def with_metaclass(meta, *bases):
-    """Create a base class with a metaclass."""
-    # This requires a bit of explanation: the basic idea is to make a dummy
-    # metaclass for one level of class instantiation that replaces itself with
-    # the actual metaclass.
-    class metaclass(type):
-
-        def __new__(cls, name, this_bases, d):
-            return meta(name, bases, d)
-
-        @classmethod
-        def __prepare__(cls, name, this_bases):
-            return meta.__prepare__(name, bases)
-    return type.__new__(metaclass, 'temporary_class', (), {})
-# pylint: enable=unused-argument
-
-
-def classproperty(func):
-    if not isinstance(func, (classmethod, staticmethod)):
-        func = classmethod(func)
-
-    return _MXClassPropertyDescriptor(func)
-
-
 def _load_lib():
     """Load library by searching possible path."""
     lib_path = libinfo.find_lib_path()
@@ -372,7 +309,6 @@ def _load_lib():
 CudaModuleHandle = ctypes.c_void_p
 CudaKernelHandle = ctypes.c_void_p
 ProfileHandle = ctypes.c_void_p
-DLPackHandle = ctypes.c_void_p
 
 
 #----------------------------
diff --git a/python/mxnet/context.py b/python/mxnet/context.py
index ac9b497396bb..5cd9c7fad766 100644
--- a/python/mxnet/context.py
+++ b/python/mxnet/context.py
@@ -14,18 +14,14 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
-
-# coding: utf-8
 """Context management API of mxnet."""
-import threading
-import warnings
+import contextvars
 import ctypes
-from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass
 from .base import _LIB
 from .base import check_call
 
 
-class Context(with_metaclass(_MXClassPropertyMetaClass, object)):
+class Context:
     """Constructs a context.
 
     MXNet can run operations on CPU and different GPUs.
@@ -66,8 +62,6 @@ class Context(with_metaclass(_MXClassPropertyMetaClass, object)):
     >>> gpu_array.context
     gpu(1)
     """
-    # static class variable
-    _default_ctx = threading.local()
     devtype2str = {1: 'cpu', 2: 'gpu', 3: 'cpu_pinned', 5: 'cpu_shared'}
     devstr2type = {'cpu': 1, 'gpu': 2, 'cpu_pinned': 3, 'cpu_shared': 5}
     def __init__(self, device_type, device_id=0):
@@ -115,34 +109,13 @@ def __repr__(self):
         return self.__str__()
 
     def __enter__(self):
-        if not hasattr(Context._default_ctx, "value"):
-            Context._default_ctx.value = Context('cpu', 0)
-        self._old_ctx = Context._default_ctx.value
-        Context._default_ctx.value = self
+        # Token can't be pickled and Token.old_value is Token.MISSING if _current.get() uses default value
+        self._old_ctx = _current.get()
+        _current.set(self)
         return self
 
     def __exit__(self, ptype, value, trace):
-        Context._default_ctx.value = self._old_ctx
-
-    #pylint: disable=no-self-argument
-    @classproperty
-    def default_ctx(cls):
-        warnings.warn("Context.default_ctx has been deprecated. "
-                      "Please use Context.current_context() instead. "
-                      "Please use test_utils.set_default_context to set a default context",
-                      DeprecationWarning)
-        if not hasattr(Context._default_ctx, "value"):
-            cls._default_ctx.value = Context('cpu', 0)
-        return cls._default_ctx.value
-
-    @default_ctx.setter
-    def default_ctx(cls, val):
-        warnings.warn("Context.default_ctx has been deprecated. "
-                      "Please use Context.current_context() instead. "
-                      "Please use test_utils.set_default_context to set a default context",
-                      DeprecationWarning)
-        cls._default_ctx.value = val
-    #pylint: enable=no-self-argument
+        _current.set(self._old_ctx)
 
     def empty_cache(self):
         """Empties the memory cache for the current contexts device.
@@ -162,9 +135,6 @@ def empty_cache(self):
         dev_id = ctypes.c_int(self.device_id)
         check_call(_LIB.MXStorageEmptyCache(dev_type, dev_id))
 
-# initialize the default context in Context
-Context._default_ctx.value = Context('cpu', 0)
-
 
 def cpu(device_id=0):
     """Returns a CPU context.
@@ -299,6 +269,9 @@ def gpu_memory_info(device_id=0):
     return (free.value, total.value)
 
 
+_current = contextvars.ContextVar('namemanager', default=Context('cpu', 0))
+
+
 def current_context():
     """Returns the current context.
 
@@ -321,6 +294,4 @@ def current_context():
     -------
     default_ctx : Context
     """
-    if not hasattr(Context._default_ctx, "value"):
-        Context._default_ctx.value = Context('cpu', 0)
-    return Context._default_ctx.value
+    return _current.get()
diff --git a/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py b/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
index 60ca44df387f..1bf60a02160b 100644
--- a/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
+++ b/python/mxnet/contrib/onnx/onnx2mx/_op_translations.py
@@ -289,14 +289,25 @@ def conv(attrs, inputs, proto_obj):
     no_bias = new_attrs['no_bias'] if 'no_bias' in new_attrs else 0
     bias = None if no_bias is True else inputs[2]
 
-    # Unlike ONNX, MXNet's convolution operator does not support asymmetric padding, so we first
-    # use 'Pad' operator, which supports asymmetric padding. Then use the convolution operator.
-    pad_width = (0, 0, 0, 0) + translation_utils._pad_sequence_fix(padding, kernel_dim=len(kernel))
-    pad_op = symbol.pad(inputs[0], mode='constant', pad_width=pad_width)
-
-    conv_op = symbol.Convolution(pad_op, inputs[1], bias,
-                                 kernel=kernel, stride=stride, dilate=dilations,
-                                 num_filter=num_filter, num_group=num_group, no_bias=no_bias)
+    mxnet_pad = translation_utils._pad_sequence_fix(padding, kernel_dim=len(kernel))
+
+    left_pads = mxnet_pad[0::2]
+    right_pads = mxnet_pad[1::2]
+    is_pad_sym = left_pads == right_pads
+
+    if not is_pad_sym:
+        # Unlike ONNX, MXNet's convolution operator does not support asymmetric padding, so we first
+        # use 'Pad' operator, which supports asymmetric padding. Then use the convolution operator.
+        pad_width = (0, 0, 0, 0) + mxnet_pad
+        pad_op = symbol.pad(inputs[0], mode='constant', pad_width=pad_width)
+        conv_op = symbol.Convolution(pad_op, inputs[1], bias,
+                                     kernel=kernel, stride=stride, dilate=dilations,
+                                     num_filter=num_filter, num_group=num_group, no_bias=no_bias)
+    else:
+        pad_width = left_pads
+        conv_op = symbol.Convolution(inputs[0], inputs[1], bias,
+                                     kernel=kernel, stride=stride, dilate=dilations, pad=pad_width,
+                                     num_filter=num_filter, num_group=num_group, no_bias=no_bias)
 
     return conv_op, new_attrs, inputs
 
diff --git a/python/mxnet/dlpack.py b/python/mxnet/dlpack.py
new file mode 100644
index 000000000000..b5e8ee83304e
--- /dev/null
+++ b/python/mxnet/dlpack.py
@@ -0,0 +1,185 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# coding: utf-8
+# pylint: disable=protected-access
+# pylint: disable=import-error, no-name-in-module, undefined-variable
+
+"""DLPack API of MXNet."""
+
+import ctypes
+from .base import _LIB, c_str, check_call, NDArrayHandle
+
+DLPackHandle = ctypes.c_void_p
+
+PyCapsuleDestructor = ctypes.CFUNCTYPE(None, ctypes.c_void_p)
+_c_str_dltensor = c_str('dltensor')
+_c_str_used_dltensor = c_str('used_dltensor')
+
+def _dlpack_deleter(pycapsule):
+    pycapsule = ctypes.c_void_p(pycapsule)
+    if ctypes.pythonapi.PyCapsule_IsValid(pycapsule, _c_str_dltensor):
+        ptr = ctypes.c_void_p(
+            ctypes.pythonapi.PyCapsule_GetPointer(pycapsule, _c_str_dltensor))
+        check_call(_LIB.MXNDArrayCallDLPackDeleter(ptr))
+
+_c_dlpack_deleter = PyCapsuleDestructor(_dlpack_deleter)
+
+class DLContext(ctypes.Structure):
+    _fields_ = [("device_type", ctypes.c_int),
+                ("device_id", ctypes.c_int)]
+
+class DLDataType(ctypes.Structure):
+    _fields_ = [("type_code", ctypes.c_uint8),
+                ("bits", ctypes.c_uint8),
+                ("lanes", ctypes.c_uint16)]
+    TYPE_MAP = {
+        "int32": (0, 32, 1),
+        "int64": (0, 64, 1),
+        "bool": (1, 1, 1),
+        "uint8": (1, 8, 1),
+        "uint32": (1, 32, 1),
+        "uint64": (1, 64, 1),
+        'float16': (2, 16, 1),
+        "float32": (2, 32, 1),
+        "float64": (2, 64, 1),
+    }
+
+
+class DLTensor(ctypes.Structure):
+    _fields_ = [("data", ctypes.c_void_p),
+                ("ctx", DLContext),
+                ("ndim", ctypes.c_int),
+                ("dtype", DLDataType),
+                ("shape", ctypes.POINTER(ctypes.c_int64)),
+                ("strides", ctypes.POINTER(ctypes.c_int64)),
+                ("byte_offset", ctypes.c_uint64)]
+
+class DLManagedTensor(ctypes.Structure):
+    pass
+
+
+DeleterFunc = ctypes.CFUNCTYPE(None, ctypes.POINTER(DLManagedTensor))
+
+
+DLManagedTensor._fields_ = [("dl_tensor", DLTensor),           # pylint: disable=protected-access
+                            ("manager_ctx", ctypes.c_void_p),
+                            ("deleter", DeleterFunc)]
+
+@DeleterFunc
+def dl_managed_tensor_deleter(dl_managed_tensor_handle):
+    void_p = dl_managed_tensor_handle.contents.manager_ctx
+    pyobj = ctypes.cast(void_p, ctypes.py_object)
+    ctypes.pythonapi.Py_DecRef(pyobj)
+
+def ndarray_from_dlpack(array_cls):
+    """Returns a function that returns specified array_cls from dlpack.
+
+    Returns
+    -------
+    fn : dlpack -> array_cls
+    """
+    def from_dlpack(dlpack):
+        handle = NDArrayHandle()
+        dlpack = ctypes.py_object(dlpack)
+        assert ctypes.pythonapi.PyCapsule_IsValid(dlpack, _c_str_dltensor), ValueError(
+            'Invalid DLPack Tensor. DLTensor capsules can be consumed only once.')
+        dlpack_handle = ctypes.c_void_p(ctypes.pythonapi.PyCapsule_GetPointer(dlpack, _c_str_dltensor))
+        check_call(_LIB.MXNDArrayFromDLPackEx(dlpack_handle, False, ctypes.byref(handle)))
+        # Rename PyCapsule (DLPack)
+        ctypes.pythonapi.PyCapsule_SetName(dlpack, _c_str_used_dltensor)
+        # delete the deleter of the old dlpack
+        ctypes.pythonapi.PyCapsule_SetDestructor(dlpack, None)
+        return array_cls(handle=handle)
+    return from_dlpack
+
+
+def ndarray_to_dlpack_for_read():
+    """Returns a function that returns dlpack for reading from mxnet array.
+
+    Returns
+    -------
+    fn : tensor -> dlpack
+    """
+    def to_dlpack_for_read(data):
+        data.wait_to_read()
+        dlpack = DLPackHandle()
+        check_call(_LIB.MXNDArrayToDLPack(data.handle, ctypes.byref(dlpack)))
+        return ctypes.pythonapi.PyCapsule_New(dlpack, _c_str_dltensor, _c_dlpack_deleter)
+    return to_dlpack_for_read
+
+def ndarray_to_dlpack_for_write():
+    """Returns a function that returns dlpack for writing from mxnet array.
+
+    Returns
+    -------
+    fn : tensor -> dlpack
+    """
+    def to_dlpack_for_write(data):
+
+        check_call(_LIB.MXNDArrayWaitToWrite(data.handle))
+        dlpack = DLPackHandle()
+        check_call(_LIB.MXNDArrayToDLPack(data.handle, ctypes.byref(dlpack)))
+        return ctypes.pythonapi.PyCapsule_New(dlpack, _c_str_dltensor, _c_dlpack_deleter)
+    return to_dlpack_for_write
+
+def ndarray_from_numpy(array_cls, array_create_fn):
+    """Returns a function that creates array_cls from numpy array.
+
+    Returns
+    -------
+    fn : tensor -> dlpack
+    """
+    def from_numpy(ndarray, zero_copy=True):
+        def _make_manager_ctx(obj):
+            pyobj = ctypes.py_object(obj)
+            void_p = ctypes.c_void_p.from_buffer(pyobj)
+            ctypes.pythonapi.Py_IncRef(pyobj)
+            return void_p
+
+        def _make_dl_tensor(array):
+            if str(array.dtype) not in DLDataType.TYPE_MAP:
+                raise ValueError(str(array.dtype) + " is not supported.")
+            dl_tensor = DLTensor()
+            dl_tensor.data = array.ctypes.data_as(ctypes.c_void_p)
+            dl_tensor.ctx = DLContext(1, 0)
+            dl_tensor.ndim = array.ndim
+            dl_tensor.dtype = DLDataType.TYPE_MAP[str(array.dtype)]
+            dl_tensor.shape = array.ctypes.shape_as(ctypes.c_int64)
+            dl_tensor.strides = None
+            dl_tensor.byte_offset = 0
+            return dl_tensor
+
+        def _make_dl_managed_tensor(array):
+            c_obj = DLManagedTensor()
+            c_obj.dl_tensor = _make_dl_tensor(array)
+            c_obj.manager_ctx = _make_manager_ctx(array)
+            c_obj.deleter = dl_managed_tensor_deleter
+            return c_obj
+
+        if not zero_copy:
+            return array_create_fn(ndarray, dtype=ndarray.dtype)
+
+        if not ndarray.flags['C_CONTIGUOUS']:
+            raise ValueError("Only c-contiguous arrays are supported for zero-copy")
+
+        ndarray.flags['WRITEABLE'] = False
+        c_obj = _make_dl_managed_tensor(ndarray)
+        handle = NDArrayHandle()
+        check_call(_LIB.MXNDArrayFromDLPackEx(ctypes.byref(c_obj), True, ctypes.byref(handle)))
+        return array_cls(handle=handle)
+    return from_numpy
diff --git a/python/mxnet/gluon/block.py b/python/mxnet/gluon/block.py
index 2fda08067e0f..d6782ba94224 100644
--- a/python/mxnet/gluon/block.py
+++ b/python/mxnet/gluon/block.py
@@ -20,82 +20,50 @@
 """Base container class for all neural network models."""
 __all__ = ['Block', 'HybridBlock', 'SymbolBlock']
 
-import threading
 import copy
 import warnings
 import weakref
 from collections import OrderedDict, defaultdict
+import contextlib
+import contextvars
 
 import re
 import numpy as np
 
 from ..base import mx_real_t, MXNetError, NDArrayHandle, py_str
-from .. import symbol, ndarray, initializer, autograd, _deferred_compute as dc
+from .. import symbol, ndarray, initializer, autograd, _deferred_compute as dc, name as _name, \
+    profiler as _profiler, context as _context
 from ..symbol.numpy import _symbol as np_symbol
 from ..symbol import Symbol
 from ..ndarray import NDArray
-from .. import name as _name
-from .. import profiler as _profiler
 from .parameter import Parameter, DeferredInitializationError
 from .utils import _indent, _brief_print_list, HookHandle, shape_is_known
 from .utils import _check_same_symbol_type, _check_all_np_ndarrays
 from .. import numpy_extension as _mx_npx
-from .. import numpy as _mx_np
+from .. import numpy as _mx_np, ndarray as nd
 from .. util import is_np_array, np_shape, np_array
 
 
+_naming_counter = contextvars.ContextVar('namecounter')
+_prefix = contextvars.ContextVar('prefix', default='')
 
-class _BlockScope(object):
-    """Scope for collecting child `Block` s."""
-    _current = threading.local()
 
-    def __init__(self, block):
-        self._block = weakref.ref(block) if block is not None else None
-        self._counter = {}
-        self._local = threading.local()
-        self._local._old_scope = None
-        self._local._name_scope = None
-
-    @staticmethod
-    def count(hint):
-        """
-        Creates unique name for new `Block`.
-        The profiler scope is to support the GPU memory profiler.
-        """
-        current = getattr(_BlockScope._current, "value", None)
-        if current is None:
-            if not hasattr(_name.NameManager._current, "value"):
-                _name.NameManager._current.value = _name.NameManager()
-            block_name = _name.NameManager._current.value.get(None, hint)
-            return block_name
-
-        count = current._counter.get(hint, 0)
-        block_name = '%s%d'%(hint, count)
-        current._counter[hint] = count + 1
-        return block_name
-
-    def __enter__(self):
-        block = self._block()
-        if block is None or block.name == '':
-            return self
-        self._local._old_scope = getattr(_BlockScope._current, "value", None)
-        _BlockScope._current.value = self
-        self._local._name_scope = _name.Prefix(block.name + '_')
-        self._local._name_scope.__enter__()
-        _profiler_scope_name = block.name + ":"
-        self._local._profiler_scope = _profiler.Scope(_profiler_scope_name)
-        self._local._profiler_scope.__enter__()
-        return self
-
-    def __exit__(self, ptype, value, trace):
-        block = self._block()
-        if block is None or block.name == '':
-            return
-        self._local._name_scope.__exit__(ptype, value, trace)
-        self._local._name_scope = None
-        self._local._profiler_scope.__exit__(ptype, value, trace)
-        self._local._profiler_scope = None
-        _BlockScope._current.value = self._local._old_scope
+@contextlib.contextmanager
+def _block_scope(block):
+    """Append the classname of the current Block to the symbolic and memory profiler name scopes."""
+    name = type(block).__name__.lower()
+    counter = _naming_counter.get(None)
+    if counter is not None:
+        count = counter.get(name, 0)
+        counter[name] = count + 1
+        name = '%s%d'%(name, count)
+    counter_token = _naming_counter.set({})
+    prefix_token = _prefix.set(_prefix.get() + name + '_')
+    with _name.Prefix(_prefix.get()):
+        with _profiler.scope(name + ':'):
+            yield
+    _naming_counter.reset(counter_token)
+    _prefix.reset(prefix_token)
 
 
 def _gather_type_ctx_info(args):
@@ -230,7 +198,7 @@ def _merger(args, fmt):
     return _merger(args, fmt)[0]
 
 
-class Block(object):
+class Block:
     """Base class for all neural network layers and models. Your models should
     subclass this class.
 
@@ -265,8 +233,6 @@ def __init__(self):
         self._reg_params = {}
         self._forward_hooks = OrderedDict()
         self._forward_pre_hooks = OrderedDict()
-        self._name = _BlockScope.count(self._alias())
-        self._scope = _BlockScope(self)
 
     def __repr__(self):
         s = '{name}(\n{modstr}\n)'
@@ -323,11 +289,6 @@ def _find_unregistered_block_in_container(data):
     def _alias(self):
         return self.__class__.__name__.lower()
 
-    @property
-    def name(self):
-        """Name of this :py:class:`Block`, class name + counter """
-        return self._name
-
     @property
     def params(self):
         """Returns this :py:class:`Block`'s parameter dictionary (does not include its
@@ -511,6 +472,8 @@ def load_dict(self, param_dict, ctx=None, allow_missing=False,
                     "Set allow_missing=True to ignore missing parameters."%(
                         name, error_str, _brief_print_list(loaded.keys()))
 
+        if ctx is None:
+            ctx = _context.current_context()
         for name in loaded:
             if not ignore_extra and name not in params:
                 raise ValueError(
@@ -518,7 +481,10 @@ def load_dict(self, param_dict, ctx=None, allow_missing=False,
                     "which contains parameters %s. Set ignore_extra=True to ignore. "%(
                         name, error_str, _brief_print_list(params.keys())))
             if name in params:
-                params[name]._load_init(loaded[name], ctx, cast_dtype=cast_dtype, dtype_source=dtype_source)
+                param = loaded[name]
+                if isinstance(param, np.ndarray):
+                    param = _mx_np.array(param) if is_np_array() else nd.array(param)
+                params[name]._load_init(param, ctx, cast_dtype=cast_dtype, dtype_source=dtype_source)
 
     def register_child(self, block, name=None):
         """Registers block as a child of self. :py:class:`Block` s assigned to self as
@@ -601,8 +567,8 @@ def initialize(self, init=initializer.Uniform(), ctx=None, verbose=False,
         params = self.collect_params()
         if verbose:
             init.set_verbosity(verbose=verbose)
-        for k, v in params.items():
-            v.initialize(None, ctx, init, force_reinit=force_reinit, structural_name=k)
+        for v in params.values():
+            v.initialize(None, ctx, init, force_reinit=force_reinit)
 
     def hybridize(self, active=True, **kwargs):
         """ Please refer description of HybridBlock hybridize().
@@ -697,6 +663,14 @@ def share_parameters(self, shared):
             dense1.weight = dense0.weight
             dense1.bias = dense0.bias
 
+        Note that unlike the `load_parameters` or `load_dict` functions,
+        `share_parameters` results in the `Parameter` object being shared (or
+        tied) between the models, whereas `load_parameters` or `load_dict` only
+        set the value of the data dictionary of a model. If you call
+        `load_parameters` or `load_dict` after `share_parameters`, the loaded
+        value will be reflected in all networks that use the shared (or tied)
+        `Parameter` object.
+
         Parameters
         ----------
         shared : Dict
@@ -820,7 +794,7 @@ def regroup(args, fmt):
 
         def _register_summary_hook(block):
             assert not isinstance(block, HybridBlock) or not block._active, \
-                    '"{}" must not be hybridized to print summary.'.format(block.name)
+                    '"{}" must not be hybridized to print summary.'.format(type(block).__name__)
             def _summary_hook(block, _, outputs):
                 class_name = block.__class__.__name__
                 block_idx = len(summary) - 1
@@ -972,8 +946,9 @@ def _get_graph_v1(self, *args):
                 else:
                     flatten_inputs.append(None)
             grouped_inputs = _regroup(flatten_inputs, self._in_format)
+
             params = {i: j.var() for i, j in self._reg_params.items()}
-            with self._scope:
+            with _block_scope(self):
                 out = self.hybrid_forward(symbol, *grouped_inputs, **params)  # pylint: disable=no-value-for-parameter
             out, self._out_format = _flatten(out, "output")
 
@@ -1018,10 +993,10 @@ def _get_graph(self, *args):
     def _build_cache(self, *args):
         data, out = self._get_graph(*args)
         data_names = {data.name: i for i, data in enumerate(data)}
-        params = self.collect_params()
-        params = {p.name: p for p in params.values()}
-        input_names = out.list_inputs()
+        params = {p.var().name: p for p in self.collect_params().values()}
+        param_serialization_names = {p.var().name: n for n, p in self.collect_params().items()}
         param_names = set(params.keys())
+        input_names = out.list_inputs()
         expected_names = set(input_names)
         for name in expected_names:
             assert name in param_names or name in data_names, \
@@ -1040,41 +1015,72 @@ def _build_cache(self, *args):
             warnings.warn("Parameter %s is not used by any computation. "
                           "Is this intended?"%unused, stacklevel=4)
 
-        data_indices = []
-        param_indices = []
-        self._cached_op_args = []
-        for i, name in enumerate(input_names):
-            if name in data_names:
-                data_indices.append(i)
-                self._cached_op_args.append((True, data_names[name]))
-            else:
-                param_indices.append(i)
-                self._cached_op_args.append((False, params[name]))
-        flags = [('data_indices', data_indices), ('param_indices', param_indices)] + \
-                self._flags
-
         args, _ = _flatten(args, "input")
         try:
-            for is_arg, i in self._cached_op_args:
-                if not is_arg:
-                    i.data()
+            for name in input_names:
+                if name in params:
+                    params[name].data()
         except DeferredInitializationError:
             self._deferred_infer_shape(*args)
-            for is_arg, i in self._cached_op_args:
-                if not is_arg:
-                    i._finish_deferred_init()
+            for name in input_names:
+                if name in params:
+                    params[name]._finish_deferred_init()
 
+        arg_dict, aux_dict = dict(), dict()
         if self._backend:
             ctx = args[0].context
             # get list of params in the order of out.list_arguments
-            arg_dict = {name:args[data_names[name]] if name in data_names.keys() else params[name].data()
-                        for name in out.list_arguments()}
-            aux_dict = {name:args[data_names[name]] if name in data_names.keys() else params[name].data()
-                        for name in out.list_auxiliary_states()}
+            arg_dict.update({name:args[data_names[name]] if name in data_names.keys() else params[name].data()
+                             for name in out.list_arguments()})
+            aux_dict.update({name:args[data_names[name]] if name in data_names.keys() else params[name].data()
+                             for name in out.list_auxiliary_states()})
             # Partition the graph.
             out = out.optimize_for(self._backend, arg_dict, aux_dict, ctx, **self._backend_opts)
+
             #update cached graph with partitioned graph
             self._cached_graph = data, out
+
+        input_names = out.list_inputs()
+        data_indices = []
+        param_indices = []
+
+        # In the default case, _cached_ops_args contains all the parameters from params (the sets are identical)
+        # In the case of Partition API optimized graph _cached_ops_args might contain some parameters from params,
+        # might contain some new parameters created during optimization and added to `arg_dict/aux_dict`,
+        # and might not contain some parameters that were deleted during optimization.
+        self._cached_op_args = []
+        for i, name in enumerate(input_names):
+            triple = None
+            if name in data_names:
+                data_indices.append(i)
+                triple = (True, name, data_names[name])
+            else:
+                param_indices.append(i)
+                if name in params:
+                    param = params[name]
+                    serialization_name = param_serialization_names[name]  # HybridBlock.export
+                else:
+                    # The param is missing from the original params dictionary, which means the param must have
+                    # been added by the Partition API backend
+                    if name in arg_dict or name:
+                        param_data = arg_dict[name]
+                    elif name in aux_dict:
+                        param_data = aux_dict[name]
+                    else:
+                        raise RuntimeError('A parameter was added to the graph during optimization but it was not '
+                                           'added to the parameter dicts.\n'
+                                           'Please check the backend.')
+
+                    param = Parameter(name)
+                    param._var_name = name
+                    serialization_name = name  # HybridBlock.export
+                    param._load_init(param_data, args[0].context)
+                triple = (False, serialization_name, param)
+
+            self._cached_op_args.append(triple)
+
+        flags = [('data_indices', data_indices), ('param_indices', param_indices)] + \
+                self._flags
         self._cached_op = ndarray.CachedOp(out, flags)
 
 
@@ -1120,7 +1126,7 @@ def _call_cached_op(self, *args):
 
         args_without_none = [ele for ele in args if ele is not None]
         cargs = [args_without_none[i] if is_arg else i.data()
-                 for is_arg, i in self._cached_op_args]
+                 for is_arg, name, i in self._cached_op_args]
         out = self._cached_op(*cargs)
         if isinstance(out, NDArray):
             out = [out]
@@ -1264,7 +1270,7 @@ def _infer_attrs(self, infer_fn, attr, *args):
         sdict.update({name : attr for name, attr in \
              zip(out.list_auxiliary_states(), aux_attrs)})
         for i in self.collect_params().values():
-            setattr(i, attr, sdict[i.name])
+            setattr(i, attr, sdict[i.var().name])
 
     def infer_shape(self, *args):
         """Infers shape of Parameters from inputs."""
@@ -1314,19 +1320,33 @@ def export(self, path, epoch=0, remove_amp_cast=True):
             raise RuntimeError(
                 "Please first call block.hybridize() and then run forward with "
                 "this block at least once before calling export.")
-        sym = self._cached_graph[1]
+        sym = copy.copy(self._cached_graph[1])
+
+        # Deduplicate params (shared parameters use the same input symbol)
+        reverse_params = {v: k for k, v in self.collect_params().items()}
+        params = {v: k for k, v in reverse_params.items()}
+
+        # In export we have global information on the structure of the graph
+        # can rename the symbol inputs to human-readable, deterministic names.
+        # That's not true in general, which is why internally random unique identifiers are used.
+        rename_map = {param.var().name: name for name, param in params.items()}
+        for var in sym.get_inputs():
+            if var.name in rename_map:
+                var._set_attr(name=rename_map[var.name])
+
         sym_filename = '%s-symbol.json'%path
         sym.save(sym_filename, remove_amp_cast=remove_amp_cast)
 
         arg_names = set(sym.list_arguments())
         aux_names = set(sym.list_auxiliary_states())
         arg_dict = {}
-        for param in self.collect_params().values():
-            if param.name in arg_names:
-                arg_dict['arg:%s'%param.name] = param._reduce()
-            else:
-                assert param.name in aux_names
-                arg_dict['aux:%s'%param.name] = param._reduce()
+        for is_arg, name, param in self._cached_op_args:
+            if not is_arg:
+                if name in arg_names:
+                    arg_dict['arg:{}'.format(name)] = param._reduce()
+                else:
+                    assert name in aux_names
+                    arg_dict['aux:{}'.format(name)] = param._reduce()
         save_fn = _mx_npx.save if is_np_array() else ndarray.save
         params_filename = '%s-%04d.params'%(path, epoch)
         save_fn(params_filename, arg_dict)
@@ -1420,8 +1440,9 @@ def forward(self, x, *args):
                     params = {k: v.data(ctx) for k, v in self._reg_params.items()}
 
                 return self.hybrid_forward(ndarray, x, *args, **params)
+
         params = {i: j.var() for i, j in self._reg_params.items()}
-        with self._scope:
+        with _block_scope(self):
             return self.hybrid_forward(symbol, x, *args, **params)
 
     def hybrid_forward(self, F, x, *args, **kwargs):
@@ -1437,6 +1458,23 @@ def hybrid_forward(self, F, x, *args, **kwargs):
         # pylint: disable= invalid-name
         raise NotImplementedError
 
+    def reset_ctx(self, ctx):
+        """Re-assign all Parameters to other contexts. If the Block is hybridized, it will reset the _cached_op_args.
+
+        Parameters
+        ----------
+        ctx : Context or list of Context, default :py:meth:`context.current_context()`.
+            Assign Parameter to given context. If ctx is a list of Context, a
+            copy will be made for each context.
+        """
+        params = self.collect_params()
+        if self._cached_op:
+            for p in self._cached_op_args:
+                # resetting parameters creating by the partitioning backend
+                if p.name not in params:
+                    p.reset_ctx(ctx)
+        for p in params.values():
+            p.reset_ctx(ctx)
 
 class SymbolBlock(HybridBlock):
     """Construct block from symbol. This is useful for using pre-trained models
@@ -1530,15 +1568,6 @@ def __repr__(self):
 
     def __init__(self, outputs, inputs, params=None):
         super(SymbolBlock, self).__init__()
-        structure = defaultdict(list)
-        if params is None:
-            params = {}
-            self._structured_named = False
-        elif any(k.find('.') != -1 for k in params):
-            self._structured_named = True
-            for k, v in params.items():
-                structure[v.name].append(k)
-        params = {p.name : p for p in params.values()}
 
         if isinstance(inputs, symbol.Symbol) and len(inputs.list_outputs()) == 1:
             inputs = [inputs]
@@ -1573,29 +1602,31 @@ def __init__(self, outputs, inputs, params=None):
 
         arg_types, aux_types = _infer_param_types(syms, out, arg_params, aux_params)
 
-        def _set_params_attr(name, **kwargs):
-            if params.get(name) is None:
-                param = Parameter(**kwargs)
-                param._name = name
-            else:
-                param = params[name]
-                param._check_and_setattr(**kwargs)
-            if self._structured_named:
-                lis = structure[name]
-                assert len(lis) > 0, "Can not find structured name for Parameter %s in 'params'. " \
-                    "Please check 'params' is complete!" % name
-                for structured_name in lis:
-                    self._reg_params[structured_name] = param
-            else:
-                self._reg_params[name] = param
+        if params is None:
+            params = {}
+        unused_params = set(params.keys()) - set(arg_params) - set(aux_params)
+        if len(unused_params) > 0:
+            raise ValueError('{} params are unused by the model.'.format(unused_params))
+        self._reg_params = params
 
         for i, arg in enumerate(arg_params):
-            if arg not in input_names:
-                _set_params_attr(name=arg, allow_deferred_init=True, dtype=arg_types[i])
-
+            if arg in self._reg_params:
+                self._reg_params[arg]._check_and_setattr(allow_deferred_init=True, dtype=arg_types[i])
+                if self._reg_params[arg]._var is None:
+                    self._reg_params[arg]._var_name = arg
+            elif arg not in input_names:
+                self._reg_params[arg] = Parameter(name=arg, allow_deferred_init=True, dtype=arg_types[i])
+                self._reg_params[arg]._var_name = arg
         for i, aux in enumerate(aux_params):
-            if aux not in input_names:
-                _set_params_attr(name=aux, grad_req='null', allow_deferred_init=True, dtype=aux_types[i])
+            if aux in self._reg_params:
+                self._reg_params[aux]._check_and_setattr(grad_req='null', allow_deferred_init=True,
+                                                         dtype=aux_types[i])
+                if self._reg_params[aux]._var is None:
+                    self._reg_params[aux]._var_name = aux
+            elif aux not in input_names:
+                self._reg_params[aux] = Parameter(name=aux, grad_req='null',
+                                                  allow_deferred_init=True, dtype=aux_types[i])
+                self._reg_params[aux]._var_name = aux
 
         self._cached_graph = syms, out
 
diff --git a/python/mxnet/gluon/contrib/estimator/estimator.py b/python/mxnet/gluon/contrib/estimator/estimator.py
index 8bdecccc844c..bd1e166165b8 100644
--- a/python/mxnet/gluon/contrib/estimator/estimator.py
+++ b/python/mxnet/gluon/contrib/estimator/estimator.py
@@ -242,7 +242,7 @@ def _add_default_training_metrics(self):
             suggested_metric = _suggest_metric_for_loss(self.loss)
             if suggested_metric:
                 self._train_metrics = [suggested_metric]
-            loss_name = self.loss.name.rstrip('1234567890')
+            loss_name = type(self.loss).__name__
             self._train_metrics.append(metric_loss(loss_name))
 
         for metric in self._train_metrics:
diff --git a/python/mxnet/gluon/contrib/nn/basic_layers.py b/python/mxnet/gluon/contrib/nn/basic_layers.py
index d5bf41614749..e32c37146efd 100644
--- a/python/mxnet/gluon/contrib/nn/basic_layers.py
+++ b/python/mxnet/gluon/contrib/nn/basic_layers.py
@@ -24,6 +24,7 @@
            'PixelShuffle3D']
 
 import warnings
+import uuid
 from .... import ndarray as nd, context
 from ...block import HybridBlock
 from ...nn import Sequential, HybridSequential, BatchNorm
@@ -179,7 +180,7 @@ def __init__(self, in_channels=0, num_devices=None, momentum=0.9, epsilon=1e-5,
         num_devices = self._get_num_devices() if num_devices is None else num_devices
         self._kwargs = {'eps': epsilon, 'momentum': momentum,
                         'fix_gamma': not scale, 'use_global_stats': use_global_stats,
-                        'ndev': num_devices, 'key': self.name}
+                        'ndev': num_devices, 'key': uuid.uuid4()}
 
     def _get_num_devices(self):
         warnings.warn("Caution using SyncBatchNorm: "
diff --git a/python/mxnet/gluon/loss.py b/python/mxnet/gluon/loss.py
index 852a9a791d53..bc447b0f1c55 100644
--- a/python/mxnet/gluon/loss.py
+++ b/python/mxnet/gluon/loss.py
@@ -74,6 +74,26 @@ def _reshape_like(F, x, y):
     return F.reshape_like(x, y)
 
 
+def _batch_mean(F, loss, batch_axis):
+    """Return mean on the specified batch axis, not keeping the axis"""
+    if is_np_array():
+        axes = list(range(loss.ndim))
+        del axes[batch_axis]
+        return F.np.mean(loss, axis=axes)
+    else:
+        return F.mean(loss, axis=batch_axis, exclude=True)
+
+def _batch_sum(F, loss, batch_axis):
+    """Return sum on the specified batch axis, not keeping the axis"""
+    if is_np_array():
+        axes = list(range(loss.ndim))
+        del axes[batch_axis]
+        return F.np.sum(loss, axis=axes)
+    else:
+        return F.sum(loss, axis=batch_axis, exclude=True)
+
+
+
 class Loss(HybridBlock):
     """Base class for loss.
 
@@ -142,16 +162,11 @@ def __init__(self, weight=1., batch_axis=0, **kwargs):
         super(L2Loss, self).__init__(weight, batch_axis, **kwargs)
 
     def hybrid_forward(self, F, pred, label, sample_weight=None):
+        square_fn = F.np.square if is_np_array() else F.square
         label = _reshape_like(F, label, pred)
-        loss = F.np.square(label - pred) if is_np_array() else F.square(label - pred)
+        loss = square_fn(label - pred)
         loss = _apply_weighting(F, loss, self._weight / 2, sample_weight)
-        if is_np_array():
-            if F is ndarray:
-                return F.np.mean(loss, axis=tuple(range(1, loss.ndim)))
-            else:
-                return F.npx.batch_flatten(loss).mean(axis=1)
-        else:
-            return F.mean(loss, axis=self._batch_axis, exclude=True)
+        return _batch_mean(F, loss, self._batch_axis)
 
 
 class L1Loss(Loss):
@@ -187,16 +202,11 @@ def __init__(self, weight=None, batch_axis=0, **kwargs):
         super(L1Loss, self).__init__(weight, batch_axis, **kwargs)
 
     def hybrid_forward(self, F, pred, label, sample_weight=None):
+        abs_fn = F.np.abs if is_np_array() else F.abs
         label = _reshape_like(F, label, pred)
-        loss = F.np.abs(label - pred) if is_np_array() else F.abs(label - pred)
+        loss = abs_fn(label - pred)
         loss = _apply_weighting(F, loss, self._weight, sample_weight)
-        if is_np_array():
-            if F is ndarray:
-                return F.np.mean(loss, axis=tuple(range(1, loss.ndim)))
-            else:
-                return F.npx.batch_flatten(loss).mean(axis=1)
-        else:
-            return F.mean(loss, axis=self._batch_axis, exclude=True)
+        return _batch_mean(F, loss, self._batch_axis)
 
 
 class SigmoidBinaryCrossEntropyLoss(Loss):
@@ -262,7 +272,6 @@ def __init__(self, from_sigmoid=False, weight=None, batch_axis=0, **kwargs):
         self._from_sigmoid = from_sigmoid
 
     def hybrid_forward(self, F, pred, label, sample_weight=None, pos_weight=None):
-        label = _reshape_like(F, label, pred)
         if is_np_array():
             relu_fn = F.npx.relu
             act_fn = F.npx.activation
@@ -275,6 +284,7 @@ def hybrid_forward(self, F, pred, label, sample_weight=None, pos_weight=None):
             abs_fn = F.abs
             mul_fn = F.broadcast_mul
             log_fn = F.log
+        label = _reshape_like(F, label, pred)
         if not self._from_sigmoid:
             if pos_weight is None:
                 # We use the stable formula: max(x, 0) - x * z + log(1 + exp(-abs(x)))
@@ -295,13 +305,7 @@ def hybrid_forward(self, F, pred, label, sample_weight=None, pos_weight=None):
                 loss = -(mul_fn(log_fn(pred + eps) * label, pos_weight)
                          + log_fn(1. - pred + eps) * (1. - label))
         loss = _apply_weighting(F, loss, self._weight, sample_weight)
-        if is_np_array():
-            if F is ndarray:
-                return F.np.mean(loss, axis=tuple(range(1, loss.ndim)))
-            else:
-                return F.npx.batch_flatten(loss).mean(axis=1)
-        else:
-            return F.mean(loss, axis=self._batch_axis, exclude=True)
+        return _batch_mean(F, loss, self._batch_axis)
 
 
 SigmoidBCELoss = SigmoidBinaryCrossEntropyLoss
@@ -379,26 +383,20 @@ def __init__(self, axis=-1, sparse_label=True, from_logits=False, weight=None,
 
     def hybrid_forward(self, F, pred, label, sample_weight=None):
         if is_np_array():
-            log_softmax = F.npx.log_softmax
-            pick = F.npx.pick
+            log_softmax_fn = F.npx.log_softmax
+            pick_fn = F.npx.pick
         else:
-            log_softmax = F.log_softmax
-            pick = F.pick
+            log_softmax_fn = F.log_softmax
+            pick_fn = F.pick
         if not self._from_logits:
-            pred = log_softmax(pred, self._axis)
+            pred = log_softmax_fn(pred, self._axis)
         if self._sparse_label:
-            loss = -pick(pred, label, axis=self._axis, keepdims=True)
+            loss = -pick_fn(pred, label, axis=self._axis, keepdims=True)
         else:
             label = _reshape_like(F, label, pred)
             loss = -(pred * label).sum(axis=self._axis, keepdims=True)
         loss = _apply_weighting(F, loss, self._weight, sample_weight)
-        if is_np_array():
-            if F is ndarray:
-                return loss.mean(axis=tuple(range(1, loss.ndim)))
-            else:
-                return F.npx.batch_flatten(loss).mean(axis=1)
-        else:
-            return loss.mean(axis=self._batch_axis, exclude=True)
+        return _batch_mean(F, loss, self._batch_axis)
 
 
 SoftmaxCELoss = SoftmaxCrossEntropyLoss
@@ -472,11 +470,17 @@ def __init__(self, from_logits=True, axis=-1, weight=None, batch_axis=0,
         self._axis = axis
 
     def hybrid_forward(self, F, pred, label, sample_weight=None):
+        if is_np_array():
+            log_softmax_fn = F.npx.log_softmax
+            log_fn = F.np.log
+        else:
+            log_softmax_fn = F.log_softmax
+            log_fn = F.log
         if not self._from_logits:
-            pred = F.log_softmax(pred, self._axis)
-        loss = label * (F.log(label + 1e-12) - pred)
+            pred = log_softmax_fn(pred, self._axis)
+        loss = label * (log_fn(label + 1e-12) - pred)
         loss = _apply_weighting(F, loss, self._weight, sample_weight)
-        return F.sum(loss, axis=self._batch_axis, exclude=True)
+        return _batch_mean(F, loss, self._batch_axis)
 
 
 class CTCLoss(Loss):
@@ -549,14 +553,20 @@ def __init__(self, layout='NTC', label_layout='NT', weight=None, **kwargs):
 
     def hybrid_forward(self, F, pred, label,
                        pred_lengths=None, label_lengths=None, sample_weight=None):
+        if is_np_array():
+            swapaxes_fn = F.np.swapaxes
+            ctc_fn = F.npx.ctc_loss
+        else:
+            swapaxes_fn = F.swapaxes
+            ctc_fn = F.ctc_loss
         if self._layout == 'NTC':
-            pred = F.swapaxes(pred, 0, 1)
+            pred = swapaxes_fn(pred, 0, 1)
         if self._batch_axis == 1:
-            label = F.swapaxes(label, 0, 1)
-        loss = F.CTCLoss(pred, label, pred_lengths, label_lengths,
-                         use_data_lengths=pred_lengths is not None,
-                         use_label_lengths=label_lengths is not None,
-                         blank_label='last')
+            label = swapaxes_fn(label, 0, 1)
+        loss = ctc_fn(pred, label, pred_lengths, label_lengths,
+                      use_data_lengths=pred_lengths is not None,
+                      use_label_lengths=label_lengths is not None,
+                      blank_label='last')
         return _apply_weighting(F, loss, self._weight, sample_weight)
 
 
@@ -602,12 +612,20 @@ def __init__(self, rho=1, weight=None, batch_axis=0, **kwargs):
         self._rho = rho
 
     def hybrid_forward(self, F, pred, label, sample_weight=None):
+        if is_np_array():
+            abs_fn = F.np.abs
+            where_fn = F.np.where
+            square_fn = F.np.square
+        else:
+            abs_fn = F.abs
+            where_fn = F.where
+            square_fn = F.square
         label = _reshape_like(F, label, pred)
-        loss = F.abs(label - pred)
-        loss = F.where(loss > self._rho, loss - 0.5 * self._rho,
-                       (0.5 / self._rho) * F.square(loss))
+        loss = abs_fn(label - pred)
+        loss = where_fn(loss > self._rho, loss - 0.5 * self._rho,
+                        (0.5 / self._rho) * square_fn(loss))
         loss = _apply_weighting(F, loss, self._weight, sample_weight)
-        return F.mean(loss, axis=self._batch_axis, exclude=True)
+        return _batch_mean(F, loss, self._batch_axis)
 
 
 class HingeLoss(Loss):
@@ -649,10 +667,11 @@ def __init__(self, margin=1, weight=None, batch_axis=0, **kwargs):
         self._margin = margin
 
     def hybrid_forward(self, F, pred, label, sample_weight=None):
+        relu_fn = F.npx.relu if is_np_array() else F.relu
         label = _reshape_like(F, label, pred)
-        loss = F.relu(self._margin - pred * label)
+        loss = relu_fn(self._margin - pred * label)
         loss = _apply_weighting(F, loss, self._weight, sample_weight)
-        return F.mean(loss, axis=self._batch_axis, exclude=True)
+        return _batch_mean(F, loss, self._batch_axis)
 
 
 class SquaredHingeLoss(Loss):
@@ -694,10 +713,16 @@ def __init__(self, margin=1, weight=None, batch_axis=0, **kwargs):
         self._margin = margin
 
     def hybrid_forward(self, F, pred, label, sample_weight=None):
+        if is_np_array():
+            relu_fn = F.npx.relu
+            square_fn = F.np.square
+        else:
+            relu_fn = F.relu
+            square_fn = F.square
         label = _reshape_like(F, label, pred)
-        loss = F.square(F.relu(self._margin - pred * label))
+        loss = square_fn(relu_fn(self._margin - pred * label))
         loss = _apply_weighting(F, loss, self._weight, sample_weight)
-        return F.mean(loss, axis=self._batch_axis, exclude=True)
+        return _batch_mean(F, loss, self._batch_axis)
 
 
 class LogisticLoss(Loss):
@@ -743,14 +768,22 @@ def __init__(self, weight=None, batch_axis=0, label_format='signed', **kwargs):
                              % label_format)
 
     def hybrid_forward(self, F, pred, label, sample_weight=None):
+        if is_np_array():
+            relu_fn = F.npx.relu
+            act_fn = F.npx.activation
+            abs_fn = F.np.abs
+        else:
+            relu_fn = F.relu
+            act_fn = F.Activation
+            abs_fn = F.abs
         label = _reshape_like(F, label, pred)
         if self._label_format == 'signed':
             label = (label + 1.0) / 2.0  # Transform label to be either 0 or 1
         # Use a stable formula in computation
-        loss = F.relu(pred) - pred * label + \
-            F.Activation(-F.abs(pred), act_type='softrelu')
+        loss = relu_fn(pred) - pred * label + \
+            act_fn(-abs_fn(pred), act_type='softrelu')
         loss = _apply_weighting(F, loss, self._weight, sample_weight)
-        return F.mean(loss, axis=self._batch_axis, exclude=True)
+        return _batch_mean(F, loss, self._batch_axis)
 
 
 class TripletLoss(Loss):
@@ -790,13 +823,18 @@ def __init__(self, margin=1, weight=None, batch_axis=0, **kwargs):
         super(TripletLoss, self).__init__(weight, batch_axis, **kwargs)
         self._margin = margin
 
-    def hybrid_forward(self, F, pred, positive, negative):
+    def hybrid_forward(self, F, pred, positive, negative, sample_weight=None):
+        if is_np_array():
+            relu_fn = F.npx.relu
+            square_fn = F.np.square
+        else:
+            relu_fn = F.relu
+            square_fn = F.square
         positive = _reshape_like(F, positive, pred)
         negative = _reshape_like(F, negative, pred)
-        loss = F.sum(F.square(positive - pred) - F.square(negative - pred),
-                     axis=self._batch_axis, exclude=True)
-        loss = F.relu(loss + self._margin)
-        return _apply_weighting(F, loss, self._weight, None)
+        loss = _batch_sum(F, square_fn(positive - pred) - square_fn(negative - pred), self._batch_axis)
+        loss = relu_fn(loss + self._margin)
+        return _apply_weighting(F, loss, self._weight, sample_weight)
 
 
 class PoissonNLLLoss(Loss):
@@ -845,20 +883,26 @@ def __init__(self, weight=None, from_logits=True, batch_axis=0, compute_full=Fal
         self._compute_full = compute_full
 
     def hybrid_forward(self, F, pred, target, sample_weight=None, epsilon=1e-08):
+        if is_np_array():
+            exp_fn = F.np.exp
+            log_fn = F.np.log
+        else:
+            exp_fn = F.exp
+            log_fn = F.log
         target = _reshape_like(F, target, pred)
         if self._from_logits:
-            loss = F.exp(pred) - target * pred
+            loss = exp_fn(pred) - target * pred
         else:
-            loss = pred - target * F.log(pred + epsilon)
+            loss = pred - target * log_fn(pred + epsilon)
         if self._compute_full:
             # Using numpy's pi value
             stirling_factor = target * \
-                F.log(target) - target + 0.5 * F.log(2 * target * np.pi)
+                log_fn(target) - target + 0.5 * log_fn(2 * target * np.pi)
             target_gt_1 = target > 1
             stirling_factor *= target_gt_1
             loss += stirling_factor
         loss = _apply_weighting(F, loss, self._weight, sample_weight)
-        return F.mean(loss)
+        return _batch_mean(F, loss, self._batch_axis)
 
 
 class CosineEmbeddingLoss(Loss):
@@ -902,33 +946,42 @@ def __init__(self, weight=None, batch_axis=0, margin=0, **kwargs):
         self._margin = margin
 
     def hybrid_forward(self, F, input1, input2, label, sample_weight=None):
+        if is_np_array():
+            where_fn = F.np.where
+            clip_fn = F.np.clip
+        else:
+            where_fn = F.where
+            clip_fn = F.clip
+
         input1 = _reshape_like(F, input1, input2)
-        label = label.reshape((-1, 1))
         cos_sim = self._cosine_similarity(F, input1, input2)
-        y_1 = label == 1
-        y_minus_1 = label == -1
-        cos_sim_a = (1 - cos_sim) * y_1
+        label = _reshape_like(F, label, cos_sim)
+        loss = where_fn(label == 1,
+                        1 - cos_sim,
+                        clip_fn(cos_sim - self._margin, 0, 1 - self._margin))
 
-        if F is ndarray:
-            z_array = F.array([0])
-        else:
-            z_array = F.zeros((1, 1))
-        cos_sim_b = F.broadcast_maximum(
-            z_array, y_minus_1 * (cos_sim - self._margin), axis=1)
-        loss = cos_sim_a + cos_sim_b
         loss = _apply_weighting(F, loss, self._weight, sample_weight)
-        return loss
+        return _batch_mean(F, loss, self._batch_axis)
 
     def _cosine_similarity(self, F, x, y, axis=-1):
-        # Calculates the cosine similarity between 2 vectors
-        x_norm = F.norm(x, axis=axis).reshape((-1, 1))
-        y_norm = F.norm(y, axis=axis).reshape((-1, 1))
-        x_dot_y = F.sum(x * y, axis=axis).reshape((-1, 1))
-        if F is ndarray:
-            eps_arr = F.array([1e-12])
+        if is_np_array():
+            reshape_fn = F.npx.reshape
+            norm_fn = F.npx.norm
+            sum_fn = F.np.sum
+            full_fn = F.np.full
+            max_fn = F.np.maximum
         else:
-            eps_arr = F.full((1, 1), 1e-12)
-        return (x_dot_y / F.broadcast_maximum(x_norm * y_norm, eps_arr))
+            reshape_fn = F.reshape
+            norm_fn = F.norm
+            sum_fn = F.sum
+            full_fn = F.full
+            max_fn = F.broadcast_maximum
+        # Calculates the cosine similarity between 2 vectors
+        x_norm = reshape_fn(norm_fn(x, axis=axis), (-1, 1))
+        y_norm = reshape_fn(norm_fn(y, axis=axis), (-1, 1))
+        x_dot_y = reshape_fn(sum_fn(x * y, axis=axis), (-1, 1))
+        eps_arr = full_fn((1, 1), 1e-12)
+        return (x_dot_y / max_fn(x_norm * y_norm, eps_arr))
 
 
 class SDMLLoss(Loss):
@@ -972,18 +1025,24 @@ def __init__(self, smoothing_parameter=0.3, weight=1., batch_axis=0, **kwargs):
         self.kl_loss = KLDivLoss(from_logits=True)
         self.smoothing_parameter = smoothing_parameter # Smoothing probability mass
 
-    def _compute_distances(self, x1, x2):
+    def _compute_distances(self, F, x1, x2):
         """
         This function computes the euclidean distance between every vector
         in the two batches in input.
         """
+        if is_np_array():
+            expand_dims_fn = F.np.expand_dims
+            broadcast_to_fn = F.np.broadcast_to
+        else:
+            expand_dims_fn = F.expand_dims
+            broadcast_to_fn = F.broadcast_to
 
         # extracting sizes expecting [batch_size, dim]
         assert x1.shape == x2.shape
         batch_size, dim = x1.shape
         # expanding both tensor form [batch_size, dim] to [batch_size, batch_size, dim]
-        x1_ = x1.expand_dims(1).broadcast_to([batch_size, batch_size, dim])
-        x2_ = x2.expand_dims(0).broadcast_to([batch_size, batch_size, dim])
+        x1_ = broadcast_to_fn(expand_dims_fn(x1, 1), [batch_size, batch_size, dim])
+        x2_ = broadcast_to_fn(expand_dims_fn(x2, 0), [batch_size, batch_size, dim])
         # pointwise squared differences
         squared_diffs = (x1_ - x2_)**2
         # sum of squared differences distance
@@ -1015,7 +1074,7 @@ def _compute_labels(self, F, batch_size):
         return labels
 
 
-    def _loss(self, F, x1, x2):
+    def hybrid_forward(self, F, x1, x2):
         """
         the function computes the kl divergence between the negative distances
         (internally it compute a softmax casting into probabilities) and the
@@ -1033,15 +1092,15 @@ def _loss(self, F, x1, x2):
         learn to predict french president comparing it with all the other
         vectors in batch 2
         """
+        if is_np_array():
+            log_softmax_fn = F.npx.log_softmax
+        else:
+            log_softmax_fn = F.log_softmax
         batch_size = x1.shape[0]
         labels = self._compute_labels(F, batch_size)
-        distances = self._compute_distances(x1, x2)
-        log_probabilities = F.log_softmax(-distances, axis=1)
+        distances = self._compute_distances(F, x1, x2)
+        log_probabilities = log_softmax_fn(-distances, axis=1)
         # multiply for the number of labels to obtain the correct loss (gluon kl_loss averages instead of sum)
         # PR#18423:multiply for the number of labels should multiply x1.shape[1] rather than x1.shape[0])
         # After PR#18423, it is no need to multiply it anymore.
         return self.kl_loss(log_probabilities, labels.as_in_context(distances.context))
-
-
-    def hybrid_forward(self, F, x1, x2):
-        return self._loss(F, x1, x2)
diff --git a/python/mxnet/gluon/metric.py b/python/mxnet/gluon/metric.py
index 5b081ceac4d8..766a95a4d6db 100644
--- a/python/mxnet/gluon/metric.py
+++ b/python/mxnet/gluon/metric.py
@@ -1352,9 +1352,12 @@ class :math:`k`.
         Index of invalid label to ignore when
         counting. By default, sets to -1.
         If set to `None`, it will include all entries.
-    axis : int (default -1)
+    axis : int, default -1
         The axis from prediction that was used to
         compute softmax. By default use the last axis.
+    from_logits : boolean, default False
+        Whether `pred` is expected to be a logits tensor.
+        By default, we assume that `pred` encodes a probability distribution.
     name : str
         Name of this metric instance for display.
     output_names : list of str, or None
@@ -1373,12 +1376,13 @@ class :math:`k`.
     >>> print ce.get()
     ('cross-entropy', 0.57159948348999023)
     """
-    def __init__(self, eps=1e-12, ignore_label=None, axis=-1, name='cross-entropy',
-                 output_names=None, label_names=None):
+    def __init__(self, eps=1e-12, ignore_label=None, axis=-1, from_logits=False,
+                 name='cross-entropy', output_names=None, label_names=None):
         super(CrossEntropy, self).__init__(
             name, output_names=output_names, label_names=label_names)
         self.ignore_label = ignore_label
         self.axis = axis
+        self.from_logits = from_logits
         self.eps = eps
 
     def update(self, labels, preds):
@@ -1400,6 +1404,8 @@ def update(self, labels, preds):
             assert label.size == pred.size/pred.shape[-1], \
                 "shape mismatch: %s vs. %s"%(label.shape, pred.shape)
             label = label.reshape((label.size,))
+            if self.from_logits:
+                pred = ndarray.softmax(pred, axis=self.axis)
             pred = ndarray.pick(pred.as_in_context(label.ctx), label.astype(dtype='int32'), axis=self.axis)
             label = label.as_np_ndarray()
             pred = pred.as_np_ndarray()
@@ -1469,11 +1475,11 @@ class Perplexity(CrossEntropy):
     >>> print perp.get()
     ('Perplexity', 1.7710976285155853)
     """
-    def __init__(self, eps=1e-12, ignore_label=None, axis=-1, name='perplexity',
-                 output_names=None, label_names=None):
+    def __init__(self, eps=1e-12, ignore_label=None, axis=-1, from_logits=False,
+                 name='perplexity', output_names=None, label_names=None):
         super(Perplexity, self).__init__(
-            name=name, eps=eps, ignore_label=ignore_label, axis=axis,
-            output_names=output_names, label_names=label_names)
+            eps=eps, ignore_label=ignore_label, axis=axis, from_logits=from_logits,
+            name=name, output_names=output_names, label_names=label_names)
 
     def get(self):
         if self.num_inst == 0:
@@ -1482,77 +1488,6 @@ def get(self):
             return (self.name, math.exp(self.sum_metric/self.num_inst))
 
 
-@register
-@alias('nll_loss')
-@use_np
-class NegativeLogLikelihood(EvalMetric):
-    """Computes the negative log-likelihood loss.
-
-    The negative log-likelihoodd loss over a batch of sample size :math:`N` is given by
-
-    .. math::
-       -\\sum_{n=1}^{N}\\sum_{k=1}^{K}t_{nk}\\log (y_{nk}),
-
-    where :math:`K` is the number of classes, :math:`y_{nk}` is the prediceted probability for
-    :math:`k`-th class for :math:`n`-th sample. :math:`t_{nk}=1` if and only if sample
-    :math:`n` belongs to class :math:`k`.
-
-    Parameters
-    ----------
-    eps : float
-        Negative log-likelihood loss is undefined for predicted value is 0,
-        so predicted values are added with the small constant.
-    name : str
-        Name of this metric instance for display.
-    output_names : list of str, or None
-        Name of predictions that should be used when updating with update_dict.
-        By default include all predictions.
-    label_names : list of str, or None
-        Name of labels that should be used when updating with update_dict.
-        By default include all labels.
-
-    Examples
-    --------
-    >>> predicts = [mx.nd.array([[0.3, 0.7], [0, 1.], [0.4, 0.6]])]
-    >>> labels   = [mx.nd.array([0, 1, 1])]
-    >>> nll_loss = mx.gluon.metric.NegativeLogLikelihood()
-    >>> nll_loss.update(labels, predicts)
-    >>> print nll_loss.get()
-    ('nll-loss', 0.57159948348999023)
-    """
-    def __init__(self, eps=1e-12, name='nll-loss',
-                 output_names=None, label_names=None):
-        super(NegativeLogLikelihood, self).__init__(
-            name, eps=eps,
-            output_names=output_names, label_names=label_names)
-        self.eps = eps
-
-    def update(self, labels, preds):
-        """Updates the internal evaluation result.
-
-        Parameters
-        ----------
-        labels : list of `NDArray`
-            The labels of the data.
-
-        preds : list of `NDArray`
-            Predicted values.
-        """
-        labels, preds = check_label_shapes(labels, preds, True)
-
-        for label, pred in zip(labels, preds):
-            label = label.as_np_ndarray()
-            pred = pred.as_np_ndarray().as_in_ctx(label.ctx)
-
-            label = label.reshape(-1)
-            num_examples = pred.shape[0]
-            assert label.shape[0] == num_examples, (label.shape[0], num_examples)
-            prob = pred[numpy.arange(num_examples, dtype=numpy.int64), numpy.int64(label)]
-            nll = (-numpy.log(prob + self.eps)).sum()
-            self.sum_metric += nll
-            self.num_inst += num_examples
-
-
 @register
 @alias('pearsonr')
 @use_np
@@ -1804,15 +1739,6 @@ def __init__(self, name='torch',
             name, output_names=output_names, label_names=label_names)
 
 
-@register
-class Caffe(Loss):
-    """Dummy metric for caffe criterions."""
-    def __init__(self, name='caffe',
-                 output_names=None, label_names=None):
-        super(Caffe, self).__init__(
-            name, output_names=output_names, label_names=label_names)
-
-
 @register
 @use_np
 class CustomMetric(EvalMetric):
diff --git a/python/mxnet/gluon/parameter.py b/python/mxnet/gluon/parameter.py
index 37d5140e7939..4d1efdc9fe65 100644
--- a/python/mxnet/gluon/parameter.py
+++ b/python/mxnet/gluon/parameter.py
@@ -107,6 +107,8 @@ def __init__(self, name='weight', grad_req='write', shape=None, dtype=mx_real_t,
                  lr_mult=1.0, wd_mult=1.0, init=None, allow_deferred_init=False,
                  differentiable=True, stype='default', grad_stype='default'):
         self._var = None
+        self._uuid = str(uuid.uuid4())
+        self._var_name = None
         self._data = None
         self._grad = None
         self._ctx_list = None
@@ -119,8 +121,7 @@ def __init__(self, name='weight', grad_req='write', shape=None, dtype=mx_real_t,
         if isinstance(shape, int):
             shape = (shape,)
         self._shape = shape
-        self._name = 'param_{}_{}'.format(str(uuid.uuid4()).replace('-', '_'), name)
-        self._structured_name = ''
+        self._name = name
         self._dtype = dtype
         self.lr_mult = lr_mult
         self.wd_mult = wd_mult
@@ -358,7 +359,7 @@ def _finish_deferred_init(self):
                     zeros_fn = ndarray.zeros
                 data = zeros_fn(**kwargs)
                 initializer.create(default_init)(
-                    initializer.InitDesc(self.name, {'__init__': init, 'structure': self._structural_name}), data)
+                    initializer.InitDesc(self.name, {'__init__': init}), data)
 
             self._init_impl(data, ctx)
 
@@ -415,7 +416,7 @@ def _reduce(self):
         return data
 
     def initialize(self, init=None, ctx=None, default_init=initializer.Uniform(),
-                   force_reinit=False, structural_name=''):
+                   force_reinit=False):
         """Initializes parameter and gradient arrays. Only used for :py:class:`NDArray` API.
 
         Parameters
@@ -436,10 +437,6 @@ def initialize(self, init=None, ctx=None, default_init=initializer.Uniform(),
             and :py:meth:`Parameter.init` are ``None``.
         force_reinit : bool, default False
             Whether to force re-initialization if parameter is already initialized.
-        structural_name : str, default ""
-            The structural name for the parameter in the block.
-            The value would be accessed in InitDesc.attrs['structure'] by self-defined initializers.
-            Users may want to initialize parameters based on the block's structure
         Examples
         --------
         >>> weight = mx.gluon.Parameter('weight', shape=(2, 2))
@@ -468,7 +465,6 @@ def initialize(self, init=None, ctx=None, default_init=initializer.Uniform(),
                           stacklevel=2)
             return
         self._data = self._grad = None
-        self._structural_name = structural_name
         if ctx is None:
             ctx = [context.current_context()]
         if isinstance(ctx, Context):
@@ -647,7 +643,10 @@ def zero_grad(self):
     def var(self):
         """Returns a symbol representing this parameter."""
         if self._var is None:
-            self._var = symbol.var(self.name, shape=self.shape, dtype=self.dtype,
+            if self._var_name is None:  # _var_name is set manually in SymbolBlock.import
+                self._var_name = self._uuid
+
+            self._var = symbol.var(self._var_name, shape=self.shape, dtype=self.dtype,
                                    lr_mult=self.lr_mult, wd_mult=self.wd_mult,
                                    init=self.init, stype=self._stype)
             if is_np_array():
diff --git a/python/mxnet/gluon/probability/distributions/utils.py b/python/mxnet/gluon/probability/distributions/utils.py
index f8a03c49e33b..066a8ea3752e 100644
--- a/python/mxnet/gluon/probability/distributions/utils.py
+++ b/python/mxnet/gluon/probability/distributions/utils.py
@@ -24,7 +24,10 @@
 from functools import update_wrapper
 from numbers import Number
 import numpy as onp
-import scipy.special as sc
+try:
+    import scipy.special as sc
+except ImportError:
+    sc = None
 from .... import symbol as sym
 from .... import ndarray as nd
 
@@ -48,7 +51,10 @@ def compute(value):
         """Return digamma(value)
         """
         if isinstance(value, Number):
-            return sc.digamma(value, dtype='float32')
+            if sc is not None:
+                return sc.digamma(value, dtype='float32')
+            else:
+                raise ValueError('Numbers are not supported as input if scipy is not installed')
         return F.npx.digamma(value)
     return compute
 
@@ -60,7 +66,10 @@ def compute(value):
         """Return log(gamma(value))
         """
         if isinstance(value, Number):
-            return sc.gammaln(value, dtype='float32')
+            if sc is not None:
+                return sc.gammaln(value, dtype='float32')
+            else:
+                raise ValueError('Numbers are not supported as input if scipy is not installed')
         return F.npx.gammaln(value)
     return compute
 
@@ -70,7 +79,10 @@ def erf(F):
     """
     def compute(value):
         if isinstance(value, Number):
-            return sc.erf(value)
+            if sc is not None:
+                return sc.erf(value)
+            else:
+                raise ValueError('Numbers are not supported as input if scipy is not installed')
         return F.npx.erf(value)
     return compute
 
@@ -80,7 +92,10 @@ def erfinv(F):
     """
     def compute(value):
         if isinstance(value, Number):
-            return sc.erfinv(value)
+            if sc is not None:
+                return sc.erfinv(value)
+            else:
+                raise ValueError('Numbers are not supported as input if scipy is not installed')
         return F.npx.erfinv(value)
     return compute
 
diff --git a/python/mxnet/gluon/trainer.py b/python/mxnet/gluon/trainer.py
index 66db9235528a..dc9da80923da 100644
--- a/python/mxnet/gluon/trainer.py
+++ b/python/mxnet/gluon/trainer.py
@@ -96,7 +96,10 @@ def __init__(self, params, optimizer, optimizer_params=None, kvstore='device',
                 raise ValueError(
                     "First argument must be a list or dict of Parameters, " \
                     "got list of %s."%(type(param)))
-            self._param2idx[param.name] = i
+            if param._uuid in self._param2idx:
+                # Shared parameters have same uuid; only need to store one of the shared versions
+                continue
+            self._param2idx[param._uuid] = i
             self._params.append(param)
             param._set_trainer(self)
             if param._stype != 'default':
@@ -164,7 +167,7 @@ def _init_params(self):
                     params_to_init.append(param)
                 else:
                     param_arrays = param._check_and_get(param._data, list)
-                    idx = self._param2idx[param.name]
+                    idx = self._param2idx[param._uuid]
                     if param._stype != 'default':
                         self._kvstore.init(idx, param_arrays[0])
                     else:
@@ -221,7 +224,7 @@ def _init_kvstore(self):
             #    - backward()
             #    - push_and_update(grad)
             #    - pull(weight)
-            arg_arrays = {param.name: param.data(self._contexts[0]) for param in self._params}
+            arg_arrays = {param._uuid: param.data(self._contexts[0]) for param in self._params}
             kvstore, _ = _create_kvstore(config['kvstore'], len(self._contexts), arg_arrays)
             self._distributed = 'dist' in kvstore.type if kvstore else False
             update_on_kvstore = self._distributed
@@ -239,7 +242,7 @@ def _init_kvstore(self):
         else:
             # Training with dense weight and dense gradients.
             # The only unsupported mode is async with update_on_kvstore=False
-            arg_arrays = {param.name: param.data(self._contexts[0]) for param in self._params}
+            arg_arrays = {param._uuid: param.data(self._contexts[0]) for param in self._params}
             kvstore, update_on_kvstore = _create_kvstore(config['kvstore'], len(self._contexts),
                                                          arg_arrays)
             self._distributed = 'dist' in kvstore.type if kvstore else False
@@ -311,7 +314,7 @@ def _row_sparse_pull(self, parameter, out, row_id, full_idx=False):
             self._init_kvstore()
         if self._params_to_init:
             self._init_params()
-        idx = self._param2idx[parameter.name]
+        idx = self._param2idx[parameter._uuid]
         if full_idx and 'dist' not in self._kvstore.type:
             assert row_id.size == out.shape[0]
             self._kvstore.pull(idx, out=out, priority=-idx, ignore_sparse=False)
diff --git a/python/mxnet/name.py b/python/mxnet/name.py
index e39752ecfda9..59e4f6b39a1c 100644
--- a/python/mxnet/name.py
+++ b/python/mxnet/name.py
@@ -14,24 +14,18 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
-
-# coding: utf-8
 """Automatic naming support for symbolic API."""
-import threading
-import warnings
-from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass
+import contextvars
+
 
-class NameManager(with_metaclass(_MXClassPropertyMetaClass, object)):
+class NameManager:
     """NameManager to do automatic naming.
 
     Developers can also inherit from this class to change naming behavior.
     """
-    _current = threading.local()
-
     def __init__(self):
         self._counter = {}
-        self._local = threading.local()
-        self._local._old_manager = None
+        self._old_manager = None
 
     def get(self, name, hint):
         """Get the canonical name for a symbol.
@@ -65,30 +59,14 @@ def get(self, name, hint):
         return name
 
     def __enter__(self):
-        if not hasattr(NameManager._current, "value"):
-            NameManager._current.value = NameManager()
-        self._local._old_manager = NameManager._current.value
-        NameManager._current.value = self
+        # Token can't be pickled and Token.old_value is Token.MISSING if _current.get() uses default value
+        self._old_manager = _current.get()
+        _current.set(self)
         return self
 
     def __exit__(self, ptype, value, trace):
-        assert self._local._old_manager
-        NameManager._current.value = self._local._old_manager
-
-    #pylint: disable=no-self-argument
-    @classproperty
-    def current(cls):
-        warnings.warn("NameManager.current has been deprecated. "
-                      "It is advised to use the `with` statement with NameManager.",
-                      DeprecationWarning)
-        if not hasattr(NameManager._current, "value"):
-            cls._current.value = NameManager()
-        return cls._current.value
-
-    @current.setter
-    def current(cls, val):
-        cls._current.value = val
-    #pylint: enable=no-self-argument
+        _current.set(self._old_manager)
+
 
 class Prefix(NameManager):
     """A name manager that attaches a prefix to all names.
@@ -103,12 +81,17 @@ class Prefix(NameManager):
     ['data', 'mynet_fc1_weight', 'mynet_fc1_bias']
     """
     def __init__(self, prefix):
-        super(Prefix, self).__init__()
+        super().__init__()
         self._prefix = prefix
 
     def get(self, name, hint):
-        name = super(Prefix, self).get(name, hint)
+        name = super().get(name, hint)
         return self._prefix + name
 
-# initialize the default name manager
-NameManager._current.value = NameManager()
+
+_current = contextvars.ContextVar('namemanager', default=NameManager())
+
+
+def current():
+    """Returns the current name manager."""
+    return _current.get()
diff --git a/python/mxnet/ndarray/ndarray.py b/python/mxnet/ndarray/ndarray.py
index 9cc8b8942c1d..fa26dfff9628 100644
--- a/python/mxnet/ndarray/ndarray.py
+++ b/python/mxnet/ndarray/ndarray.py
@@ -34,9 +34,11 @@
 from functools import reduce # pylint: disable=redefined-builtin
 import numpy as np
 from ..base import _LIB, numeric_types, integer_types
-from ..base import c_str, c_array, c_array_buf, c_handle_array, mx_real_t
-from ..base import mx_uint, NDArrayHandle, check_call, DLPackHandle, mx_int, mx_int64
+from ..base import c_array, c_array_buf, c_handle_array, mx_real_t
+from ..base import mx_uint, NDArrayHandle, check_call, mx_int, mx_int64
 from ..base import ctypes2buffer
+from ..dlpack import ndarray_to_dlpack_for_read, ndarray_to_dlpack_for_write
+from ..dlpack import ndarray_from_dlpack, ndarray_from_numpy
 from ..runtime import Features
 from ..context import Context, current_context
 from ..util import is_np_array
@@ -70,9 +72,28 @@
     np.int8: 5,
     np.int64: 6,
     np.bool_: 7,
+    np.int16: 8,
+    np.uint16 : 9,
+    np.uint32 : 10,
+    np.uint64 : 11,
     np.dtype([('bfloat16', np.uint16)]): 12,
 }
 
+def _register_platform_dependent_mx_dtype():
+    """Register platform dependent types to the fixed size counterparts."""
+    kind_map = {'i': 'int', 'u': 'uint', 'f': 'float'}
+    for np_type in [
+            np.byte, np.ubyte, np.short, np.ushort, np.intc, np.uintc, np.int_,
+            np.uint, np.longlong, np.ulonglong, np.half, np.float16, np.single,
+            np.double, np.longdouble]:
+        dtype = np.dtype(np_type)
+        kind, size = dtype.kind, dtype.itemsize
+        bits = size * 8
+        fixed_dtype = getattr(np, kind_map[kind]+str(bits))
+        if fixed_dtype in _DTYPE_NP_TO_MX:
+            _DTYPE_NP_TO_MX[np_type] = _DTYPE_NP_TO_MX[fixed_dtype]
+_register_platform_dependent_mx_dtype()
+
 _DTYPE_MX_TO_NP = {
     -1: None,
     0: np.float32,
@@ -83,6 +104,10 @@
     5: np.int8,
     6: np.int64,
     7: np.bool_,
+    8: np.int16,
+    9: np.uint16,
+    10: np.uint32,
+    11: np.uint64,
     12: np.dtype([('bfloat16', np.uint16)]),
 }
 
@@ -4914,32 +4939,18 @@ def split_v2(ary, indices_or_sections, axis=0, squeeze_axis=False):
         raise ValueError('indices_or_sections must either int or tuple of ints')
     return _internal._split_v2(ary, indices, axis, squeeze_axis)
 
-PyCapsuleDestructor = ctypes.CFUNCTYPE(None, ctypes.c_void_p)
-_c_str_dltensor = c_str('dltensor')
-_c_str_used_dltensor = c_str('used_dltensor')
-
-def _dlpack_deleter(pycapsule):
-    pycapsule = ctypes.c_void_p(pycapsule)
-    if ctypes.pythonapi.PyCapsule_IsValid(pycapsule, _c_str_dltensor):
-        ptr = ctypes.c_void_p(
-            ctypes.pythonapi.PyCapsule_GetPointer(pycapsule, _c_str_dltensor))
-        check_call(_LIB.MXNDArrayCallDLPackDeleter(ptr))
-
-_c_dlpack_deleter = PyCapsuleDestructor(_dlpack_deleter)
-
-def to_dlpack_for_read(data):
-    """Returns a reference view of NDArray that represents as DLManagedTensor until
-       all previous write operations on the current array are finished.
+from_dlpack = ndarray_from_dlpack(NDArray)
+from_dlpack_doc = """Returns a NDArray backed by a dlpack tensor.
 
     Parameters
     ----------
-    data: NDArray
-        input data.
+    dlpack: PyCapsule (the pointer of DLManagedTensor)
+        input data
 
     Returns
     -------
-    PyCapsule (the pointer of DLManagedTensor)
-        a reference view of NDArray that represents as DLManagedTensor.
+    NDArray
+        a NDArray backed by a dlpack tensor
 
     Examples
     --------
@@ -4948,33 +4959,13 @@ def to_dlpack_for_read(data):
     >>> type(y)
     <class 'PyCapsule'>
     >>> z = mx.nd.from_dlpack(y)
+    >>> type(z)
+    <class 'mxnet.ndarray.ndarray.NDArray'>
     >>> z
-    [[1. 1. 1.]
-     [1. 1. 1.]]
+    [[ 1.  1.  1.]
+     [ 1.  1.  1.]]
     <NDArray 2x3 @cpu(0)>
-    """
-    data.wait_to_read()
-    dlpack = DLPackHandle()
-    check_call(_LIB.MXNDArrayToDLPack(data.handle, ctypes.byref(dlpack)))
-    return ctypes.pythonapi.PyCapsule_New(dlpack, _c_str_dltensor, _c_dlpack_deleter)
-
-def to_dlpack_for_write(data):
-    """Returns a reference view of NDArray that represents as DLManagedTensor until
-       all previous read/write operations on the current array are finished.
 
-    Parameters
-    ----------
-    data: NDArray
-        input data.
-
-    Returns
-    -------
-    PyCapsule (the pointer of DLManagedTensor)
-        a reference view of NDArray that represents as DLManagedTensor.
-
-    Examples
-    --------
-    >>> x = mx.nd.ones((2,3))
     >>> w = mx.nd.to_dlpack_for_write(x)
     >>> type(w)
     <class 'PyCapsule'>
@@ -4985,23 +4976,45 @@ def to_dlpack_for_write(data):
      [2. 2. 2.]]
     <NDArray 2x3 @cpu(0)>
     """
-    check_call(_LIB.MXNDArrayWaitToWrite(data.handle))
-    dlpack = DLPackHandle()
-    check_call(_LIB.MXNDArrayToDLPack(data.handle, ctypes.byref(dlpack)))
-    return ctypes.pythonapi.PyCapsule_New(dlpack, _c_str_dltensor, _c_dlpack_deleter)
+from_dlpack.__doc__ = from_dlpack_doc
 
-def from_dlpack(dlpack):
-    """Returns a NDArray backed by a dlpack tensor.
+from_numpy = ndarray_from_numpy(NDArray, array)
+from_numpy_doc = """Returns an MXNet's NDArray backed by numpy's ndarray.
+    When `zero_copy` is set to be true,
+    this API consumes numpy's ndarray and produces MXNet's ndarray
+    without having to copy the content. In this case, we disallow
+    users to modify the given numpy ndarray, and it is suggested
+    not to read the numpy ndarray as well for internal correctness.
 
     Parameters
     ----------
-    dlpack: PyCapsule (the pointer of DLManagedTensor)
+    ndarray: NDArray
         input data
+    zero_copy: bool
+        Whether we use DLPack's zero-copy conversion to convert to MXNet's NDArray.
+        This is only available for c-contiguous arrays, i.e. array.flags[C_CONTIGUOUS] == True.
 
     Returns
     -------
     NDArray
         a NDArray backed by a dlpack tensor
+"""
+from_numpy.__doc__ = from_numpy_doc
+
+
+to_dlpack_for_read = ndarray_to_dlpack_for_read()
+to_dlpack_for_read_doc = """Returns a reference view of NDArray that represents as DLManagedTensor until
+       all previous write operations on the current array are finished.
+
+    Parameters
+    ----------
+    data: NDArray
+        input data.
+
+    Returns
+    -------
+    PyCapsule (the pointer of DLManagedTensor)
+        a reference view of NDArray that represents as DLManagedTensor.
 
     Examples
     --------
@@ -5010,13 +5023,30 @@ def from_dlpack(dlpack):
     >>> type(y)
     <class 'PyCapsule'>
     >>> z = mx.nd.from_dlpack(y)
-    >>> type(z)
-    <class 'mxnet.ndarray.ndarray.NDArray'>
     >>> z
-    [[ 1.  1.  1.]
-     [ 1.  1.  1.]]
+    [[1. 1. 1.]
+     [1. 1. 1.]]
     <NDArray 2x3 @cpu(0)>
+"""
+to_dlpack_for_read.__doc__ = to_dlpack_for_read_doc
+
+to_dlpack_for_write = ndarray_to_dlpack_for_write()
+to_dlpack_for_write_doc = """Returns a reference view of NDArray that represents as
+DLManagedTensor until all previous read/write operations on the current array are finished.
+
+    Parameters
+    ----------
+    data: NDArray
+        input data.
+
+    Returns
+    -------
+    PyCapsule (the pointer of DLManagedTensor)
+        a reference view of NDArray that represents as DLManagedTensor.
 
+    Examples
+    --------
+    >>> x = mx.nd.ones((2,3))
     >>> w = mx.nd.to_dlpack_for_write(x)
     >>> type(w)
     <class 'PyCapsule'>
@@ -5026,128 +5056,5 @@ def from_dlpack(dlpack):
     [[2. 2. 2.]
      [2. 2. 2.]]
     <NDArray 2x3 @cpu(0)>
-    """
-    handle = NDArrayHandle()
-    dlpack = ctypes.py_object(dlpack)
-    assert ctypes.pythonapi.PyCapsule_IsValid(dlpack, _c_str_dltensor), ValueError(
-        'Invalid DLPack Tensor. DLTensor capsules can be consumed only once.')
-    dlpack_handle = ctypes.c_void_p(ctypes.pythonapi.PyCapsule_GetPointer(dlpack, _c_str_dltensor))
-    check_call(_LIB.MXNDArrayFromDLPackEx(dlpack_handle, False, ctypes.byref(handle)))
-    # Rename PyCapsule (DLPack)
-    ctypes.pythonapi.PyCapsule_SetName(dlpack, _c_str_used_dltensor)
-    # delete the deleter of the old dlpack
-    ctypes.pythonapi.PyCapsule_SetDestructor(dlpack, None)
-    return NDArray(handle=handle)
-
-class DLContext(ctypes.Structure):
-    _fields_ = [("device_type", ctypes.c_int),
-                ("device_id", ctypes.c_int)]
-
-
-class DLDataType(ctypes.Structure):
-    _fields_ = [("type_code", ctypes.c_uint8),
-                ("bits", ctypes.c_uint8),
-                ("lanes", ctypes.c_uint16)]
-    TYPE_MAP = {
-        "int32": (0, 32, 1),
-        "int64": (0, 64, 1),
-        "bool": (1, 1, 1),
-        "uint8": (1, 8, 1),
-        "uint32": (1, 32, 1),
-        "uint64": (1, 64, 1),
-        'float16': (2, 16, 1),
-        "float32": (2, 32, 1),
-        "float64": (2, 64, 1),
-    }
-
-
-class DLTensor(ctypes.Structure):
-    _fields_ = [("data", ctypes.c_void_p),
-                ("ctx", DLContext),
-                ("ndim", ctypes.c_int),
-                ("dtype", DLDataType),
-                ("shape", ctypes.POINTER(ctypes.c_int64)),
-                ("strides", ctypes.POINTER(ctypes.c_int64)),
-                ("byte_offset", ctypes.c_uint64)]
-
-class DLManagedTensor(ctypes.Structure):
-    pass
-
-
-DeleterFunc = ctypes.CFUNCTYPE(None, ctypes.POINTER(DLManagedTensor))
-
-
-DLManagedTensor._fields_ = [("dl_tensor", DLTensor),           # pylint: disable=protected-access
-                            ("manager_ctx", ctypes.c_void_p),
-                            ("deleter", DeleterFunc)]
-
-
-@DeleterFunc
-def dl_managed_tensor_deleter(dl_managed_tensor_handle):
-    void_p = dl_managed_tensor_handle.contents.manager_ctx
-    pyobj = ctypes.cast(void_p, ctypes.py_object)
-    ctypes.pythonapi.Py_DecRef(pyobj)
-
-
-def from_numpy(ndarray, zero_copy=True, array_cls=NDArray):
-    """Returns an MXNet's ndarray backed by numpy's ndarray.
-    When `zero_copy` is set to be true,
-    this API consumes numpy's ndarray and produces MXNet's ndarray
-    without having to copy the content. In this case, we disallow
-    users to modify the given numpy ndarray, and it is suggested
-    not to read the numpy ndarray as well for internal correctness.
-
-    Parameters
-    ----------
-    ndarray: numpy.ndarray
-        input data
-    zero_copy: bool
-        Whether we use DLPack's zero-copy conversion to convert to MXNet's NDArray.
-        This is only available for c-contiguous arrays, i.e. array.flags[C_CONTIGUOUS] == True.
-    array_cls: ndarray class type
-        The class type of the output array.
-
-    Returns
-    -------
-    NDArray
-        a NDArray backed by a dlpack tensor
-
-    """
-
-    def _make_manager_ctx(obj):
-        pyobj = ctypes.py_object(obj)
-        void_p = ctypes.c_void_p.from_buffer(pyobj)
-        ctypes.pythonapi.Py_IncRef(pyobj)
-        return void_p
-
-    def _make_dl_tensor(array):
-        if str(array.dtype) not in DLDataType.TYPE_MAP:
-            raise ValueError(str(array.dtype) + " is not supported.")
-        dl_tensor = DLTensor()
-        dl_tensor.data = array.ctypes.data_as(ctypes.c_void_p)
-        dl_tensor.ctx = DLContext(1, 0)
-        dl_tensor.ndim = array.ndim
-        dl_tensor.dtype = DLDataType.TYPE_MAP[str(array.dtype)]
-        dl_tensor.shape = array.ctypes.shape_as(ctypes.c_int64)
-        dl_tensor.strides = None
-        dl_tensor.byte_offset = 0
-        return dl_tensor
-
-    def _make_dl_managed_tensor(array):
-        c_obj = DLManagedTensor()
-        c_obj.dl_tensor = _make_dl_tensor(array)
-        c_obj.manager_ctx = _make_manager_ctx(array)
-        c_obj.deleter = dl_managed_tensor_deleter
-        return c_obj
-
-    if not zero_copy:
-        return array(ndarray, dtype=ndarray.dtype)
-
-    if not ndarray.flags['C_CONTIGUOUS']:
-        raise ValueError("Only c-contiguous arrays are supported for zero-copy")
-
-    ndarray.flags['WRITEABLE'] = False
-    c_obj = _make_dl_managed_tensor(ndarray)
-    handle = NDArrayHandle()
-    check_call(_LIB.MXNDArrayFromDLPackEx(ctypes.byref(c_obj), True, ctypes.byref(handle)))
-    return array_cls(handle=handle)
+"""
+to_dlpack_for_write.__doc__ = to_dlpack_for_write_doc
diff --git a/python/mxnet/ndarray/numpy/_op.py b/python/mxnet/ndarray/numpy/_op.py
index 91fea5f4aeef..14dbf94a1417 100644
--- a/python/mxnet/ndarray/numpy/_op.py
+++ b/python/mxnet/ndarray/numpy/_op.py
@@ -854,7 +854,7 @@ def _ufunc_helper(lhs, rhs, fn_array, fn_scalar, lfn_scalar, rfn_scalar=None, ou
         result array or scalar
     """
     from ...numpy import ndarray
-    from ..ndarray import from_numpy  # pylint: disable=unused-import
+    from ...numpy_extension import from_numpy  # pylint: disable=unused-import
     if isinstance(lhs, numeric_types):
         if isinstance(rhs, numeric_types):
             return fn_scalar(lhs, rhs, out=out)
@@ -8049,7 +8049,7 @@ def shares_memory(a, b, max_work=None):
     the following way(s):
 
     - Does not support `max_work`, it is a dummy argument
-    - Actually it is same as `may_share_memory` in MXNet DeepNumPy
+    - Actually it is same as `may_share_memory` in MXNet np
     """
     return _api_internal.share_memory(a, b).item()
 
@@ -8090,7 +8090,7 @@ def may_share_memory(a, b, max_work=None):
     the following way(s):
 
     - Does not support `max_work`, it is a dummy argument
-    - Actually it is same as `shares_memory` in MXNet DeepNumPy
+    - Actually it is same as `shares_memory` in MXNet np
     """
     return _api_internal.share_memory(a, b).item()
 
diff --git a/python/mxnet/ndarray/numpy/random.py b/python/mxnet/ndarray/numpy/random.py
index 41e573c76111..c2a2c0bf78ec 100644
--- a/python/mxnet/ndarray/numpy/random.py
+++ b/python/mxnet/ndarray/numpy/random.py
@@ -390,7 +390,7 @@ def multivariate_normal(mean, cov, size=None, check_valid=None, tol=None):
 
     This operator is a little different from the one in official NumPy.
     The official NumPy operator only accepts 1-D ndarray as mean and 2-D ndarray as cov,
-    whereas the operator in DeepNumPy supports batch operation and auto-broadcasting.
+    whereas the operator in MXNet np supports batch operation and auto-broadcasting.
 
     Both `mean` and `cov` may have any number of leading dimensions, which correspond
     to a batch shape. They are not necessarily assumed to have the same batch shape,
diff --git a/python/mxnet/numpy/multiarray.py b/python/mxnet/numpy/multiarray.py
index 963bbb5bfd0a..5274408e4403 100644
--- a/python/mxnet/numpy/multiarray.py
+++ b/python/mxnet/numpy/multiarray.py
@@ -40,15 +40,16 @@
                       get_oshape_of_gather_nd_op
 from ..ndarray._internal import _set_np_ndarray_class
 from . import _op as _mx_np_op
-from ..base import check_call, _LIB, NDArrayHandle, c_array
+from ..base import check_call, _LIB, NDArrayHandle, c_array, mx_int, mx_int64
 from ..base import mx_real_t, c_array_buf, mx_uint, numeric_types, integer_types
+from ..runtime import Features
 from ..context import Context
 from ..util import set_module, wrap_np_unary_func, wrap_np_binary_func,\
                    is_np_default_dtype
 from ..context import current_context
 from ..ndarray import numpy as _mx_nd_np
 from ..ndarray.numpy import _internal as _npi
-from ..ndarray.ndarray import _storage_type, from_numpy
+from ..ndarray.ndarray import _storage_type
 from .utils import _get_np_op
 from .fallback import *  # pylint: disable=wildcard-import,unused-wildcard-import
 from . import fallback
@@ -92,6 +93,16 @@
 _NDARRAY_NO_ZERO_DIM_BOOL_ARRAY = -1
 _NDARRAY_ZERO_DIM_BOOL_ARRAY_FALSE = 0
 _NDARRAY_ZERO_DIM_BOOL_ARRAY_TRUE = 1
+_SIGNED_INT32_UPPER_LIMIT = (2**31 - 1)
+
+# Caching whether MXNet was built with INT64 support or not
+_INT64_TENSOR_SIZE_ENABLED = None
+
+def _int64_enabled():
+    global _INT64_TENSOR_SIZE_ENABLED
+    if _INT64_TENSOR_SIZE_ENABLED is None:
+        _INT64_TENSOR_SIZE_ENABLED = Features().is_enabled('INT64_TENSOR_SIZE')
+    return _INT64_TENSOR_SIZE_ENABLED
 
 # This function is copied from ndarray.py since pylint
 # keeps giving false alarm error of undefined-all-variable
@@ -106,14 +117,37 @@ def _new_alloc_handle(shape, ctx, delay_alloc, dtype=mx_real_t):  # pylint: disa
         A new empty `ndarray` handle.
     """
     hdl = NDArrayHandle()
-    check_call(_LIB.MXNDArrayCreateEx(
-        c_array_buf(mx_uint, native_array('I', shape)),
-        mx_uint(len(shape)),
-        ctypes.c_int(ctx.device_typeid),
-        ctypes.c_int(ctx.device_id),
-        ctypes.c_int(int(delay_alloc)),
-        ctypes.c_int(int(_DTYPE_NP_TO_MX[_np.dtype(dtype).type])),
-        ctypes.byref(hdl)))
+    if _int64_enabled():
+        check_call(_LIB.MXNDArrayCreateEx64(
+            c_array_buf(mx_int64, native_array('q', shape)),
+            ctypes.c_int(len(shape)),
+            ctypes.c_int(ctx.device_typeid),
+            ctypes.c_int(ctx.device_id),
+            ctypes.c_int(int(delay_alloc)),
+            ctypes.c_int(int(_DTYPE_NP_TO_MX[_np.dtype(dtype).type])),
+            ctypes.byref(hdl)))
+    else:
+        # When shape is larger than uint32 then there is an overflow error at python end itself.
+        # It needs to be caught here since the call doesn't even reach backend.
+        array_size = 1
+        for idx in shape:
+            array_size = array_size * idx
+        if array_size > _SIGNED_INT32_UPPER_LIMIT:
+            raise Exception("[_new_alloc_handle] Size of tensor you are trying to allocate is " +
+                            "larger than 2^31 elements. Please build with flag " +
+                            "USE_INT64_TENSOR_SIZE=1")
+        if _np.dtype(dtype) == _np.dtype([('bfloat16', _np.uint16)]):
+            dtype_type = _np.dtype(dtype)
+        else:
+            dtype_type = _np.dtype(dtype).type
+        check_call(_LIB.MXNDArrayCreateEx(
+            c_array_buf(mx_uint, native_array('I', shape)),
+            mx_uint(len(shape)),
+            ctypes.c_int(ctx.device_typeid),
+            ctypes.c_int(ctx.device_id),
+            ctypes.c_int(int(delay_alloc)),
+            ctypes.c_int(int(_DTYPE_NP_TO_MX[dtype_type])),
+            ctypes.byref(hdl)))
     return hdl
 
 
@@ -148,11 +182,11 @@ def _reshape_view(a, *shape):  # pylint: disable=redefined-outer-name
 
 def _as_mx_np_array(object, ctx=None):
     """Convert object to mxnet.numpy.ndarray."""
-    if isinstance(object, _np.ndarray):
-        if not object.flags['C_CONTIGUOUS']:
-            object = _np.ascontiguousarray(object, dtype=object.dtype)
-        ret = from_numpy(object, array_cls=ndarray)
-        return ret if ctx is None else ret.as_in_ctx(ctx=ctx)
+    if isinstance(object, ndarray):
+        return object
+    elif isinstance(object, _np.ndarray):
+        np_dtype = _np.dtype(object.dtype).type
+        return array(object, dtype=np_dtype, ctx=ctx)
     elif isinstance(object, (integer_types, numeric_types)):
         return object
     elif isinstance(object, (list, tuple)):
@@ -399,14 +433,24 @@ def _get_np_basic_indexing(self, key):
             )
             handle = NDArrayHandle()
             flat_self = self.reshape_view(-1)
-            check_call(
-                _LIB.MXNDArraySlice(
-                    flat_self.handle,
-                    mx_uint(flat_begin),
-                    mx_uint(flat_end),
-                    ctypes.byref(handle),
+            if _int64_enabled():
+                check_call(
+                    _LIB.MXNDArraySlice64(
+                        flat_self.handle,
+                        ctypes.c_int64(flat_begin),
+                        ctypes.c_int64(flat_end),
+                        ctypes.byref(handle),
+                    )
+                )
+            else:
+                check_call(
+                    _LIB.MXNDArraySlice(
+                        flat_self.handle,
+                        ctypes.c_uint32(flat_begin),
+                        ctypes.c_uint32(flat_end),
+                        ctypes.byref(handle),
+                    )
                 )
-            )
             sliced_shape = self._basic_indexing_sliced_shape(slc_key, self.shape)
             sliced = self.__class__(handle=handle, writable=self.writable)
             if 0 in sliced_shape:
@@ -699,6 +743,14 @@ def __getitem__(self, key):
             elif key.step == 0:
                 raise ValueError("slice step cannot be zero")
 
+
+        all = __builtins__['all']  # `def all` below shadows the all builtin
+        if (isinstance(key, tuple) and all( \
+        (isinstance(arr, NDArray) \
+        and _np.issubdtype(arr.dtype, _np.integer) and arr.ndim > 0) \
+        for arr in key)):
+            return _npi.advanced_indexing_multiple(self, _npi.stack(*key))
+
         # For 0-d boolean indices: A new axis is added,
         # but at the same time no axis is "used". So if we have True,
         # we add a new axis (a bit like with np.newaxis). If it is
@@ -2255,7 +2307,33 @@ def _scatter_set_nd(self, value_nd, indices):
 
     @property
     def shape(self):
-        return super(ndarray, self).shape
+        """Tuple of array dimensions.
+
+        Examples
+        --------
+        >>> x = mx.np.array([1, 2, 3, 4])
+        >>> x.shape
+        (4L,)
+        >>> y = mx.np.zeros((2, 3, 4))
+        >>> y.shape
+        (2L, 3L, 4L)
+        >>> z = mx.np.array(3)
+        >>> z.shape
+        ()
+        """
+        num_dim = mx_int()
+        if _int64_enabled():
+            pdata = ctypes.POINTER(mx_int64)()
+            check_call(_LIB.MXNDArrayGetShapeEx64(
+                self.handle, ctypes.byref(num_dim), ctypes.byref(pdata)))
+        else:
+            pdata = ctypes.POINTER(mx_int)()
+            check_call(_LIB.MXNDArrayGetShapeEx(
+                self.handle, ctypes.byref(num_dim), ctypes.byref(pdata)))
+        if num_dim.value == -1:
+            return None
+        else:
+            return tuple(pdata[:num_dim.value])  # pylint: disable=invalid-slice-index
 
     @property
     def ndim(self):
@@ -10093,7 +10171,7 @@ def shares_memory(a, b, max_work=None):
     the following way(s):
 
     - Does not support `max_work`, it is a dummy argument
-    - Actually it is same as `may_share_memory` in MXNet DeepNumPy
+    - Actually it is same as `may_share_memory` in MXNet np
     """
     return _mx_nd_np.shares_memory(a, b, max_work)
 
@@ -10134,7 +10212,7 @@ def may_share_memory(a, b, max_work=None):
     the following way(s):
 
     - Does not support `max_work`, it is a dummy argument
-    - Actually it is same as `shares_memory` in MXNet DeepNumPy
+    - Actually it is same as `shares_memory` in MXNet np
     """
     return _mx_nd_np.may_share_memory(a, b, max_work)
 
diff --git a/python/mxnet/numpy/random.py b/python/mxnet/numpy/random.py
index 127d7d7da1d7..e739036e2c71 100644
--- a/python/mxnet/numpy/random.py
+++ b/python/mxnet/numpy/random.py
@@ -430,7 +430,7 @@ def multivariate_normal(mean, cov, size=None, check_valid=None, tol=None):
 
     This operator is a little different from the one in official NumPy.
     The official NumPy operator only accepts 1-D ndarray as mean and 2-D ndarray as cov,
-    whereas the operator in DeepNumPy supports batch operation and auto-broadcasting.
+    whereas the operator in MXNet np supports batch operation and auto-broadcasting.
 
     Both `mean` and `cov` may have any number of leading dimensions, which correspond
     to a batch shape. They are not necessarily assumed to have the same batch shape,
diff --git a/python/mxnet/numpy_extension/utils.py b/python/mxnet/numpy_extension/utils.py
index f625439335d5..6d3f25b7f0a8 100644
--- a/python/mxnet/numpy_extension/utils.py
+++ b/python/mxnet/numpy_extension/utils.py
@@ -20,25 +20,15 @@
 
 
 import ctypes
-from .. util import is_np_array, is_np_shape
-from .. base import _LIB, check_call, string_types, c_str_array, DLPackHandle
-from .. base import c_handle_array, c_str, mx_uint, NDArrayHandle, py_str
-from ..numpy import ndarray
+from ..util import is_np_array, is_np_shape
+from ..base import _LIB, check_call, string_types, c_str_array
+from ..base import c_handle_array, c_str, mx_uint, NDArrayHandle, py_str
+from ..dlpack import ndarray_to_dlpack_for_read, ndarray_to_dlpack_for_write
+from ..dlpack import ndarray_from_dlpack, ndarray_from_numpy
+from ..numpy import ndarray, array
 
-__all__ = ['save', 'load', 'to_dlpack_for_read', 'to_dlpack_for_write', 'from_dlpack']
-
-PyCapsuleDestructor = ctypes.CFUNCTYPE(None, ctypes.c_void_p)
-_c_str_dltensor = c_str('dltensor')
-_c_str_used_dltensor = c_str('used_dltensor')
-
-def _dlpack_deleter(pycapsule):
-    pycapsule = ctypes.c_void_p(pycapsule)
-    if ctypes.pythonapi.PyCapsule_IsValid(pycapsule, _c_str_dltensor):
-        ptr = ctypes.c_void_p(
-            ctypes.pythonapi.PyCapsule_GetPointer(pycapsule, _c_str_dltensor))
-        check_call(_LIB.MXNDArrayCallDLPackDeleter(ptr))
-
-_c_dlpack_deleter = PyCapsuleDestructor(_dlpack_deleter)
+__all__ = ['save', 'load', 'to_dlpack_for_read', 'to_dlpack_for_write',
+           'from_dlpack', 'from_numpy']
 
 def save(file, arr):
     """Saves a list of `ndarray`s or a dict of `str`->`ndarray` to file.
@@ -132,9 +122,8 @@ def load(file):
             (py_str(names[i]), ndarray(NDArrayHandle(handles[i])))
             for i in range(out_size.value))
 
-
-def from_dlpack(dlpack):
-    """Returns a np.ndarray backed by a dlpack tensor.
+from_dlpack = ndarray_from_dlpack(ndarray)
+from_dlpack_doc = """Returns a np.ndarray backed by a dlpack tensor.
 
     Parameters
     ----------
@@ -168,21 +157,36 @@ def from_dlpack(dlpack):
     array([[2., 2., 2.],
            [2., 2., 2.]])
     """
-    handle = NDArrayHandle()
-    dlpack = ctypes.py_object(dlpack)
-    assert ctypes.pythonapi.PyCapsule_IsValid(dlpack, _c_str_dltensor), ValueError(
-        'Invalid DLPack Tensor. DLTensor capsules can be consumed only once.')
-    dlpack_handle = ctypes.c_void_p(ctypes.pythonapi.PyCapsule_GetPointer(dlpack, _c_str_dltensor))
-    check_call(_LIB.MXNDArrayFromDLPackEx(dlpack_handle, False, ctypes.byref(handle)))
-    # Rename PyCapsule (DLPack)
-    ctypes.pythonapi.PyCapsule_SetName(dlpack, _c_str_used_dltensor)
-    # delete the deleter of the old dlpack
-    ctypes.pythonapi.PyCapsule_SetDestructor(dlpack, None)
-    return ndarray(handle=handle)
-
-def to_dlpack_for_read(data):
-    """Returns a reference view of np.ndarray that represents as DLManagedTensor until
-       all previous write operations on the current array are finished.
+from_dlpack.__doc__ = from_dlpack_doc
+
+
+from_numpy = ndarray_from_numpy(ndarray, array)
+from_numpy_doc = """Returns an MXNet's np.ndarray backed by numpy's ndarray.
+    When `zero_copy` is set to be true,
+    this API consumes numpy's ndarray and produces MXNet's np.ndarray
+    without having to copy the content. In this case, we disallow
+    users to modify the given numpy ndarray, and it is suggested
+    not to read the numpy ndarray as well for internal correctness.
+
+    Parameters
+    ----------
+    ndarray: np.ndarray
+        input data
+    zero_copy: bool
+        Whether we use DLPack's zero-copy conversion to convert to MXNet's
+        np.ndarray.
+        This is only available for c-contiguous arrays, i.e. array.flags[C_CONTIGUOUS] == True.
+
+    Returns
+    -------
+    np.ndarray
+        a np.ndarray backed by a dlpack tensor
+    """
+from_numpy.__doc__ = from_numpy_doc
+
+to_dlpack_for_read = ndarray_to_dlpack_for_read()
+to_dlpack_for_read_doc = """Returns a reference view of np.ndarray that represents
+as DLManagedTensor until all previous write operations on the current array are finished.
 
     Parameters
     ----------
@@ -205,14 +209,11 @@ def to_dlpack_for_read(data):
     array([[1., 1., 1.],
            [1., 1., 1.]])
     """
-    data.wait_to_read()
-    dlpack = DLPackHandle()
-    check_call(_LIB.MXNDArrayToDLPack(data.handle, ctypes.byref(dlpack)))
-    return ctypes.pythonapi.PyCapsule_New(dlpack, _c_str_dltensor, _c_dlpack_deleter)
+to_dlpack_for_read.__doc__ = to_dlpack_for_read_doc
 
-def to_dlpack_for_write(data):
-    """Returns a reference view of ndarray that represents as DLManagedTensor until
-       all previous read/write operations on the current array are finished.
+to_dlpack_for_write = ndarray_to_dlpack_for_write()
+to_dlpack_for_write_doc = """Returns a reference view of ndarray that represents
+as DLManagedTensor until all previous read/write operations on the current array are finished.
 
     Parameters
     ----------
@@ -236,7 +237,4 @@ def to_dlpack_for_write(data):
     array([[2., 2., 2.],
            [2., 2., 2.]])
     """
-    check_call(_LIB.MXNDArrayWaitToWrite(data.handle))
-    dlpack = DLPackHandle()
-    check_call(_LIB.MXNDArrayToDLPack(data.handle, ctypes.byref(dlpack)))
-    return ctypes.pythonapi.PyCapsule_New(dlpack, _c_str_dltensor, _c_dlpack_deleter)
+to_dlpack_for_write.__doc__ = to_dlpack_for_write_doc
diff --git a/python/mxnet/optimizer/updater.py b/python/mxnet/optimizer/updater.py
index a96961446f4b..9a5b25ecc2a4 100644
--- a/python/mxnet/optimizer/updater.py
+++ b/python/mxnet/optimizer/updater.py
@@ -21,7 +21,7 @@
 import numpy
 from ..base import py_str
 from ..ndarray import NDArray
-from ..profiler import Scope
+from ..profiler import scope as profiler_scope
 from ..util import is_np_array
 from .utils import _as_classic
 
@@ -55,7 +55,7 @@ def __call__(self, index, grad, weight):
                 indices[i] = py_str(idx)
                 idx = indices[i]
             if idx not in self.states:
-                with Scope("updater:optimizer_state"):
+                with profiler_scope("updater:optimizer_state"):
                     self.states[idx] = self.optimizer.create_state_multi_precision(idx, weights[i])
                 self.states_synced[idx] = True
             elif not self.states_synced[idx]:
diff --git a/python/mxnet/profiler.py b/python/mxnet/profiler.py
index 3b8830d11245..d43f7383daa3 100644
--- a/python/mxnet/profiler.py
+++ b/python/mxnet/profiler.py
@@ -20,7 +20,8 @@
 # pylint: disable=too-many-branches, too-many-statements
 """Profiler setting methods."""
 import ctypes
-import threading
+import contextlib
+import contextvars
 import warnings
 from .base import _LIB, check_call, c_str, ProfileHandle, c_str_array, py_str, KVStoreHandle
 
@@ -489,7 +490,7 @@ def __init__(self, domain, name):
         self.name = name
         self.domain = domain
 
-    def mark(self, scope='process'):
+    def mark(self, scope='process'):  # pylint: disable=redefined-outer-name
         """Set up the profiler state to record operator.
 
         Parameters
@@ -502,50 +503,27 @@ def mark(self, scope='process'):
         check_call(_LIB.MXProfileSetMarker(self.domain.handle, c_str(self.name), c_str(scope)))
 
 
-class Scope(object):
-    """
-    The `_profiler.Scope` was developed to assign the profiler scope for the GPU
-    memory profiler. It is implicitly invoked when the Gluon API is used.
+@contextlib.contextmanager
+def scope(name='<unk>:', append_mode=False):
+    """Assign the profiler scope for the GPU memory profiler.
+
+    It is implicitly invoked when the Gluon API is used.
 
     Parameters
     ==========
     name : Name of the Profiler Scope
     append_mode : Whether to append the old profiler scope at the front.
-    """
-    _current = threading.local()
-
-    def __init__(self, name='<unk>:', append_mode=False):
-        self._name = name + ":" if not name.endswith(":") else name
-        self._old_scope = None
-        if append_mode:
-            if not hasattr(Scope._current, "value"):
-                Scope._current.value = Scope()
-            self._name = Scope._current.value.name + self._name
-
-    def __enter__(self):
-        if not hasattr(Scope._current, "value"):
-            Scope._current.value = Scope()
-        self._old_scope = Scope._current.value
-        Scope._current.value = self
-        # Invoke the C API to propagate the profiler scope information to the
-        # C++ backend.
-        check_call(_LIB.MXSetProfilerScope(c_str(self.name)))
-        return self
 
-    def __exit__(self, ptype, value, trace):
-        assert self._old_scope
-        Scope._current.value = self._old_scope
-        # If the old profiler scope is also of type `profiler.Scope`, invoke the
-        # C API once again to recover the previous scope information. Otherwise,
-        # the default scope `<unk>:` will be set.
-        if isinstance(self._old_scope, Scope):
-            check_call(_LIB.MXSetProfilerScope(c_str(self._old_scope.name)))
-        else:
-            check_call(_LIB.MXSetProfilerScope(c_str("<unk>:")))
-
-    @property
-    def name(self):
-        return self._name
+    """
+    name = name + ":" if not name.endswith(":") else name
+    token = _current_scope.set(_current_scope.get() + name if append_mode else name)
+    # Invoke the C API to propagate the profiler scope information to the
+    # C++ backend.
+    check_call(_LIB.MXSetProfilerScope(c_str(name)))
+    yield name
+    _current_scope.reset(token)
+    # Invoke the C API once again to recover the previous scope information.
+    check_call(_LIB.MXSetProfilerScope(c_str(_current_scope.get())))
 
 # initialize the default profiler scope
-Scope._current.value = Scope()
+_current_scope = contextvars.ContextVar('profilerscope', default='<unk>:')
diff --git a/python/mxnet/runtime.py b/python/mxnet/runtime.py
index 27500e7eb772..28525ae65edf 100644
--- a/python/mxnet/runtime.py
+++ b/python/mxnet/runtime.py
@@ -40,8 +40,7 @@
     [✖ CUDA, ✖ CUDNN, ✖ NCCL, ✖ CUDA_RTC, ✖ TENSORRT, ✔ CPU_SSE, ✔ CPU_SSE2, ✔ CPU_SSE3,
     ✔ CPU_SSE4_1, ✔ CPU_SSE4_2, ✖ CPU_SSE4A, ✔ CPU_AVX, ✖ CPU_AVX2, ✔ OPENMP, ✖ SSE,
     ✔ F16C, ✔ JEMALLOC, ✔ BLAS_OPEN, ✖ BLAS_ATLAS, ✖ BLAS_MKL, ✖ BLAS_APPLE, ✔ LAPACK,
-    ✖ MKLDNN, ✔ OPENCV, ✖ CAFFE, ✖ DIST_KVSTORE, ✖ CXX14, ✖ INT64_TENSOR_SIZE,
-    ✔ SIGNAL_HANDLER, ✔ DEBUG, ✖ TVM_OP]
+    ✖ MKLDNN, ✔ OPENCV, ✖ DIST_KVSTORE, ✖ INT64_TENSOR_SIZE, ✔ SIGNAL_HANDLER, ✔ DEBUG, ✖ TVM_OP]
 
 
 """
diff --git a/python/mxnet/symbol/contrib.py b/python/mxnet/symbol/contrib.py
index d1048df7cd6f..3b98c429aac8 100644
--- a/python/mxnet/symbol/contrib.py
+++ b/python/mxnet/symbol/contrib.py
@@ -32,7 +32,7 @@
 from . import symbol
 from ..base import _LIB, check_call
 from ..base import SymbolHandle, _as_list
-from ..attribute import AttrScope
+from ..attribute import AttrScope, current as current_attribute
 
 __all__ = ["rand_zipfian", "foreach", "while_loop", "cond"]
 
@@ -163,7 +163,7 @@ def _cut_subgraph(subg):
     return syms
 
 def _get_unique_subgraph_name(subgraph_name):
-    attrs = AttrScope._current.value._attr
+    attrs = current_attribute()._attr
     if attrs.get("__subgraph_name__", "") != "":
         subgraph_name = "".join([attrs["__subgraph_name__"], "$", subgraph_name])
     AttrScope._subgraph_names[subgraph_name] += 1
diff --git a/python/mxnet/symbol/numpy/_symbol.py b/python/mxnet/symbol/numpy/_symbol.py
index d3521cad1274..2df7357e0c03 100644
--- a/python/mxnet/symbol/numpy/_symbol.py
+++ b/python/mxnet/symbol/numpy/_symbol.py
@@ -117,6 +117,8 @@ def __getitem__(self, key): # pylint: disable = too-many-return-statements, inco
                 end = []
                 step = []
                 new_shape = ()
+                result = self
+                is_symbol_tuple = False
                 if len(key) == 0:
                     return self
                 for index in key:
@@ -137,14 +139,27 @@ def __getitem__(self, key): # pylint: disable = too-many-return-statements, inco
                             end.append(index - 1)
                             step.append(-1)
                         new_shape += (-3,)
+                    elif isinstance(index, Symbol):
+                        if new_shape != ():
+                            new_shape += (-4,)
+                            sliced = _npi.slice(result, begin, end, step)
+                            result = _npi.reshape(sliced, new_shape)
+                        if not is_symbol_tuple:
+                            is_symbol_tuple = True
                     else:
-                        raise IndexError('Only integer, slice, or tuple of these types'
+                        raise IndexError('Only integer, slice, symbol or tuple of these types'
                                          ' are supported! Received key={}'.format(key))
+                if is_symbol_tuple:
+                    key = _npi.stack(*[i for i in key])
+                    sliced = _npi.advanced_indexing_multiple(self, key)
+                    return sliced
                 new_shape += (-4,)
                 sliced = _npi.slice(self, begin, end, step)
                 return _npi.reshape(sliced, new_shape)
+            elif isinstance(key, Symbol):
+                return _npi.advanced_indexing(self, key)
             else:
-                raise IndexError('Only integer, slice, or tuple of these types are supported! '
+                raise IndexError('Only integer, slice, tuple or Symbol of these types are supported! '
                                  'Received key={}'.format(key))
 
     def __setitem__(self, key, value):
@@ -283,7 +298,7 @@ def __neg__(self):
         return negative(self)
 
     def __deepcopy__(self, _):
-        return super(_Symbol, self).as_np_ndarray()
+        return super().__deepcopy__(_).as_np_ndarray()
 
     def __eq__(self, other):
         """x.__eq__(y) <=> x == y"""
diff --git a/python/mxnet/symbol/numpy/random.py b/python/mxnet/symbol/numpy/random.py
index 75780df173e9..af834bbeb5d5 100644
--- a/python/mxnet/symbol/numpy/random.py
+++ b/python/mxnet/symbol/numpy/random.py
@@ -926,7 +926,7 @@ def multivariate_normal(mean, cov, size=None, check_valid=None, tol=None):
 
     This operator is a little different from the one in official NumPy.
     The official NumPy operator only accepts 1-D ndarray as mean and 2-D ndarray as cov,
-    whereas the operator in DeepNumPy supports batch operation and auto-broadcasting.
+    whereas the operator in MXNet np supports batch operation and auto-broadcasting.
 
     Both `mean` and `cov` may have any number of leading dimensions, which correspond
     to a batch shape. They are not necessarily assumed to have the same batch shape,
diff --git a/python/mxnet/symbol/register.py b/python/mxnet/symbol/register.py
index e1ce4d44ee2b..ffea572896ab 100644
--- a/python/mxnet/symbol/register.py
+++ b/python/mxnet/symbol/register.py
@@ -22,13 +22,13 @@
 import numpy as _np
 
 from . import _internal
+from .. import name as _name, attribute
 from ._internal import SymbolBase, _symbol_creator
-from ..attribute import AttrScope
 from ..base import mx_uint, check_call, _LIB, py_str
 from ..symbol_doc import _build_doc
 from ..base import _Null, _init_op_module, _is_np_op, _output_is_list
 from ..name import NameManager
-from ..profiler import Scope
+from ..profiler import _current_scope as _profiler_scope
 # pylint: enable=unused-import
 
 
@@ -170,13 +170,9 @@ def %s(*%s, **kwargs):"""%(func_name, arr_name))
                 dtype_name, dtype_name, dtype_name))
             code.append("""
     attr = kwargs.pop('attr', None)
-    if not hasattr(AttrScope._current, "value"):
-        AttrScope._current.value = AttrScope()
-    kwargs.update(AttrScope._current.value.get(attr))
+    kwargs.update(attribute.current().get(attr))
     name = kwargs.pop('name', None)
-    if not hasattr(NameManager._current, "value"):
-        NameManager._current.value = NameManager()
-    name = NameManager._current.value.get(name, '%s')
+    name = _name.current().get(name, '%s')
     _ = kwargs.pop('out', None)
     keys = []
     vals = []
@@ -198,9 +194,7 @@ def %s(*%s, **kwargs):"""%(func_name, arr_name))
             code.append("""
     if 'profiler_scope' not in keys:
         keys.append('profiler_scope')
-        if not hasattr(Scope._current, "value"):
-            Scope._current.value = Scope()
-        vals.append(Scope._current.value.name)
+        vals.append(_profiler_scope.get())
     return _symbol_creator(%d, sym_args, sym_kwargs, keys, vals, name, %s, %s)"""%(
                 handle.value, str(is_np_op), str(output_is_list)))
     else:
@@ -208,9 +202,7 @@ def %s(*%s, **kwargs):"""%(func_name, arr_name))
 def %s(%s):"""%(func_name, ', '.join(signature)))
         if not signature_only:
             code.append("""
-    if not hasattr(AttrScope._current, "value"):
-        AttrScope._current.value = AttrScope()
-    kwargs.update(AttrScope._current.value.get(attr))
+    kwargs.update(attribute.current().get(attr))
     sym_kwargs = dict()
     _keys = []
     _vals = []
@@ -255,14 +247,10 @@ def %s(%s):"""%(func_name, ', '.join(signature)))
                                                   dtype_name, dtype_name))
 
             code.append("""
-    if not hasattr(NameManager._current, "value"):
-        NameManager._current.value = NameManager()
-    name = NameManager._current.value.get(name, '%s')
+    name = _name.current().get(name, '%s')
     if 'profiler_scope' not in _keys:
         _keys.append('profiler_scope')
-        if not hasattr(Scope._current, "value"):
-            Scope._current.value = Scope()
-        _vals.append(Scope._current.value.name)
+        _vals.append(_profiler_scope.get())
     return _symbol_creator(%d, None, sym_kwargs, _keys, _vals, name, %s, %s)"""%(
         func_name.lower(), handle.value, str(is_np_op), str(output_is_list)))
 
diff --git a/python/mxnet/symbol/symbol.py b/python/mxnet/symbol/symbol.py
index 39b8799ce155..039ac0d9d195 100644
--- a/python/mxnet/symbol/symbol.py
+++ b/python/mxnet/symbol/symbol.py
@@ -30,7 +30,7 @@
 from numbers import Number
 import numpy as _numpy  # pylint: disable=relative-import
 
-from ..attribute import AttrScope
+from .. import attribute
 from ..base import _LIB, numeric_types, c_array, c_array_buf, c_str, c_str_array, c_handle_array
 from ..base import mx_uint, py_str, string_types, integer_types, mx_int, mx_int64
 from ..base import NDArrayHandle, SymbolHandle
@@ -43,7 +43,7 @@
 from . import op
 from ._internal import SymbolBase, _set_symbol_class
 from ..util import is_np_shape
-from ..profiler import Scope
+from ..profiler import _current_scope as _profiler_scope
 
 __all__ = ["Symbol", "var", "Variable", "Group", "load", "load_json",
            "pow", "power", "maximum", "minimum", "hypot", "eye", "zeros",
@@ -675,6 +675,33 @@ def _set_attr(self, **kwargs):
             check_call(_LIB.MXSymbolSetAttr(
                 self.handle, c_str(key), c_str(str(value))))
 
+    def get_inputs(self):
+        """Gets a new grouped symbol `sgroup`. The output of `sgroup` is a list of inputs to this symbol.
+
+        Consider the following code:
+
+        Example
+        -------
+        >>> a = mx.sym.var('a')
+        >>> b = mx.sym.var('b')
+        >>> c = a + b
+        >>> d = c.get_inputs()
+        >>> d
+        <Symbol Grouped>
+        >>> d.list_outputs()
+        ['a', 'b']
+
+        Returns
+        -------
+        sgroup : Symbol
+            A symbol group containing all input nodes of the computation graph
+            used to compute the symbol.
+        """
+        handle = SymbolHandle()
+        check_call(_LIB.MXSymbolGetInputs(
+            self.handle, ctypes.byref(handle)))
+        return Symbol(handle=handle)
+
     def get_internals(self):
         """Gets a new grouped symbol `sgroup`. The output of `sgroup` is a list of
         outputs of all of the internal nodes.
@@ -1446,7 +1473,8 @@ def _gen_atomic_symbol(self):
 
 
     # pylint: disable=too-many-locals
-    def optimize_for(self, backend, args=None, aux=None, ctx=None, **kwargs):
+    def optimize_for(self, backend, args=None, aux=None, ctx=None,
+                     shape_dict=None, type_dict=None, stype_dict=None, skip_infer=False, **kwargs):
         """Partitions current symbol and optimizes it for a given backend,
         returns new partitioned symbol.
 
@@ -1457,19 +1485,33 @@ def optimize_for(self, backend, args=None, aux=None, ctx=None, **kwargs):
 
         args : dict of str to NDArray, optional
             Input arguments to the symbol, required to infer shapes/types before partitioning
-
             - If type is a dict of str to `NDArray`, then it maps the name of arguments
-              to the corresponding `NDArray`.
+              to the corresponding `NDArray`. Non defined arguments' `NDArray`s don't have to be
+              specified in the dict.
 
         aux : dict of str to NDArray, optional
             Input auxiliary arguments to the symbol
-
             - If type is a dict of str to `NDArray`, then it maps the name of arguments
               to the corresponding `NDArray`.
 
         ctx : Context, optional
             Device context, used to infer stypes
 
+        shape_dict  : Dict of str->tuple, optional
+            Input shape dictionary.
+            Used iff input NDArray is not in `args`.
+
+        type_dict  : Dict of str->numpy.dtype, optional
+            Input type dictionary.
+            Used iff input NDArray is not in `args`.
+
+        stype_dict  : Dict of str->str, optional
+            Input storage type dictionary.
+            Used iff input NDArray is not in `args`.
+
+        skip_infer : bool, optional
+            If True, the optimization skips the shape, type and storage type inference pass.
+
         kwargs : optional arguments
             Passed on to `PrePartition` and `PostPartition` functions of `SubgraphProperty`
 
@@ -1488,18 +1530,78 @@ def optimize_for(self, backend, args=None, aux=None, ctx=None, **kwargs):
             args_handle = c_array(NDArrayHandle, [])
         else:
             args_handle, args_ = self._get_ndarray_inputs('args', args,
-                                                          self.list_arguments(), False)
+                                                          self.list_arguments(), True)
 
         if aux is None or len(aux) == 0:
             aux_ = []
             aux_handle = c_array(NDArrayHandle, [])
         else:
             aux_handle, aux_ = self._get_ndarray_inputs('aux_states', aux,
-                                                        self.list_auxiliary_states(), False)
+                                                        self.list_auxiliary_states(), True)
         if ctx is None:
             ctx = current_context()
         assert isinstance(ctx, Context)
 
+
+        # parse input data shape dict
+        num_input_shapes = 0
+        input_shape_names = ctypes.POINTER(ctypes.c_char_p)()
+        input_shape_data = ctypes.POINTER(mx_int64)()
+        input_shape_idx = ctypes.POINTER(mx_uint)()
+        if shape_dict is not None:
+            input_shape_names = []
+            input_shape_data = []
+            input_shape_idx = [0]
+            for k, v in shape_dict.items():
+                if isinstance(v, (tuple, list)):
+                    input_shape_names.append(k)
+                    input_shape_data.extend(v)
+                    input_shape_idx.append(len(input_shape_data))
+                else:
+                    raise ValueError(str(v) + " has to be a tuple or list.")
+            num_input_shapes = mx_uint(len(input_shape_names))
+            input_shape_names = c_str_array(input_shape_names)
+            input_shape_data = c_array_buf(mx_int64, array('q', input_shape_data))
+            input_shape_idx = c_array_buf(mx_uint, array('i', input_shape_idx))
+
+        # parse input data types dict
+        num_input_types = 0
+        input_type_names = ctypes.POINTER(ctypes.c_char_p)()  # provided type argument names
+        input_type_data = ctypes.POINTER(mx_uint)()  # provided types
+        if type_dict is not None:
+            input_type_names = []
+            input_type_data = []
+            for k, v in type_dict.items():
+                v = _numpy.dtype(v).type
+                if v in _DTYPE_NP_TO_MX:
+                    input_type_names.append(k)
+                    input_type_data.append(_DTYPE_NP_TO_MX[v])
+                else:
+                    raise ValueError(str(v) + " is not a MXNet type.")
+
+            num_input_types = mx_uint(len(input_type_names))
+            input_type_names = c_str_array(input_type_names)
+            input_type_data = c_array_buf(ctypes.c_int, array('i', input_type_data))
+
+        # parse input data storage types dict
+        num_input_stypes = 0
+        # provided storage type argument names
+        input_stype_names = ctypes.POINTER(ctypes.c_char_p)()
+        input_stype_data = ctypes.POINTER(mx_uint)()  # provided storage types
+        if stype_dict is not None:
+            input_stype_names = []
+            input_stype_data = []
+            for k, v in stype_dict.items():
+                if v in _STORAGE_TYPE_STR_TO_ID:
+                    input_stype_names.append(k)
+                    input_stype_data.append(_STORAGE_TYPE_STR_TO_ID[v])
+                else:
+                    raise ValueError(str(v) + " is not a MXNet storage type.")
+
+            num_input_stypes = mx_uint(len(input_stype_names))
+            input_stype_names = c_str_array(input_stype_names)
+            input_stype_data = c_array_buf(ctypes.c_int, array('i', input_stype_data))
+
         new_args_size = ctypes.c_uint()
         new_arg_names = ctypes.POINTER(ctypes.c_char_p)()
         new_args_handle = ctypes.POINTER(NDArrayHandle)()
@@ -1523,6 +1625,17 @@ def optimize_for(self, backend, args=None, aux=None, ctx=None, **kwargs):
                                              mx_uint(len(key_list)),
                                              c_str_array(key_list),
                                              c_str_array(val_list),
+                                             num_input_shapes,
+                                             input_shape_names,
+                                             input_shape_data,
+                                             input_shape_idx,
+                                             num_input_types,
+                                             input_type_names,
+                                             input_type_data,
+                                             num_input_stypes,
+                                             input_stype_names,
+                                             input_stype_data,
+                                             ctypes.c_bool(skip_infer),
                                              ctypes.byref(new_args_size),
                                              ctypes.byref(new_args_handle),
                                              ctypes.byref(new_arg_names),
@@ -1544,8 +1657,36 @@ def optimize_for(self, backend, args=None, aux=None, ctx=None, **kwargs):
             raise RuntimeError('Cannot add new aux in optimize_for since aux is None\n' +
                                'Provide a dictionary to the aux argument to optimize_for')
 
-        # return modified symbol
-        return Symbol(out)
+        new_sym = Symbol(out)
+
+        arg_names = self.list_arguments()
+        new_arg_names = new_sym.list_arguments()
+        deleted_arg_names = set([item for item in arg_names
+                                 if item not in set(new_arg_names)])
+
+        if len(deleted_arg_names) > 0:
+            if args is not None:
+                for a_n in deleted_arg_names:
+                    if a_n in args:
+                        args.pop(a_n)
+            else:
+                warnings.warn('A param was deleted during optimization, but no args dictionary was provided.\n' +
+                              'Please ensure that your model weights match the newly optimized model.')
+
+        aux_names = self.list_auxiliary_states()
+        new_aux_names = new_sym.list_auxiliary_states()
+        deleted_aux_names = set([item for item in aux_names
+                                 if item not in set(new_aux_names)])
+        if len(deleted_aux_names) > 0:
+            if aux is not None:
+                for a_n in deleted_aux_names:
+                    if a_n in aux:
+                        aux.pop(a_n)
+            else:
+                warnings.warn('A param was deleted during optimization, but no args dictionary was provided.\n' +
+                              'Please ensure that your model weights match the newly optimized model.')
+
+        return new_sym
 
     # pylint: disable=too-many-locals
     def _simple_bind(self, ctx, grad_req='write', type_dict=None, stype_dict=None,
@@ -2564,9 +2705,7 @@ def var(name, attr=None, shape=None, lr_mult=None, wd_mult=None, dtype=None,
     handle = SymbolHandle()
     check_call(_LIB.MXSymbolCreateVariable(c_str(name), ctypes.byref(handle)))
     ret = Symbol(handle)
-    if not hasattr(AttrScope._current, "value"):
-        AttrScope._current.value = AttrScope()
-    attr = AttrScope._current.value.get(attr)
+    attr = attribute.current().get(attr)
     attr = {} if attr is None else attr
     if shape is not None:
         attr['__shape__'] = str(shape)
@@ -2589,9 +2728,7 @@ def var(name, attr=None, shape=None, lr_mult=None, wd_mult=None, dtype=None,
     if profiler_scope is not None:
         attr['__profiler_scope__'] = profiler_scope
     else:
-        if not hasattr(Scope._current, "value"):
-            Scope._current.value = Scope()
-        attr['__profiler_scope__'] = Scope._current.value.name
+        attr['__profiler_scope__'] = _profiler_scope.get()
     for k, v in kwargs.items():
         if k.startswith('__') and k.endswith('__'):
             attr[k] = str(v)
diff --git a/python/mxnet/test_utils.py b/python/mxnet/test_utils.py
index cbfa49f490be..cb71c7dd46b9 100644
--- a/python/mxnet/test_utils.py
+++ b/python/mxnet/test_utils.py
@@ -24,6 +24,7 @@
 import numbers
 import sys
 import os
+import platform
 import errno
 import logging
 import bz2
@@ -44,11 +45,11 @@
     # in rare cases requests may be not installed
     pass
 import mxnet as mx
-from .context import Context, current_context
+from .context import current_context
 from .ndarray.ndarray import _STORAGE_TYPE_STR_TO_ID
 from .symbol import Symbol
 from .symbol.numpy import _Symbol as np_symbol
-from .util import use_np, use_np_default_dtype  # pylint: disable=unused-import
+from .util import use_np, use_np_default_dtype, getenv, setenv  # pylint: disable=unused-import
 from .runtime import Features
 from .numpy_extension import get_cuda_compute_capability
 
@@ -62,7 +63,7 @@ def default_context():
 
 def set_default_context(ctx):
     """Set default context."""
-    Context._default_ctx.value = ctx
+    mx.context._current.set(ctx)
 
 
 def default_dtype():
@@ -70,19 +71,110 @@ def default_dtype():
     # _TODO: get default dtype from environment variable
     return np.float32
 
+def default_rtols():
+    """Get default relative tolerances for data comparisons involving each data type."""
+    return {np.dtype(np.float16): 1e-2,
+            np.dtype(np.float32): 1e-4,
+            np.dtype(np.float64): 1e-5,
+            np.dtype(np.bool): 0,
+            np.dtype(np.int8): 0,
+            np.dtype(np.uint8): 0,
+            np.dtype(np.int32): 0,
+            np.dtype(np.uint32): 0,
+            np.dtype(np.int64): 0,
+            np.dtype(np.uint64): 0}
+
+def default_atols():
+    """Get default absolute tolerances for data comparisons involving each data type."""
+    return {np.dtype(np.float16): 1e-1,
+            np.dtype(np.float32): 1e-3,
+            np.dtype(np.float64): 1e-20,
+            np.dtype(np.bool): 0,
+            np.dtype(np.int8): 0,
+            np.dtype(np.uint8): 0,
+            np.dtype(np.int32): 0,
+            np.dtype(np.uint32): 0,
+            np.dtype(np.int64): 0,
+            np.dtype(np.uint64): 0}
+
+def default_numeric_eps():
+    """Get default epsilon for finite difference gradient calculations with data type."""
+    # prefer a power-of-two eps, since no bits are dropped when serving as an input delta
+    return {np.dtype(np.float16): 1.0 / 2**6,
+            np.dtype(np.float32): 1.0 / 2**9,
+            np.dtype(np.float64): 1.0 / 2**14}
+
+
+def effective_dtype(dat):
+    """ Return the most appropriate dtype for determining the tolerance used in dat comparisons
+    Parameters
+    ----------
+    dat : np.ndarray or mx.nd.array or mx.np.ndarray
+    """
+    # On arch 80 gpus, a float32-io gemm or conv op will trim the mantissa of data
+    # inputs to be of comparable precision to a float16, so float16 becomes the
+    # 'effective dtype' for tolerance tests involving such op outputs.
 
-def get_atol(atol=None):
-    """Get default numerical threshold for regression test."""
-    # _TODO: get from env variable, different threshold might
-    # be needed for different device and dtype
-    return 1e-20 if atol is None else atol
+    # Is TF32 enabled in the ctx (the default on arch 80 GPUs)
+    def is_TF32_enabled(ctx):
+        try:
+            return (ctx.device_type == 'gpu' and
+                    get_cuda_compute_capability(ctx) == 80 and
+                    os.environ.get('NVIDIA_TF32_OVERRIDE') != '0')
+        except:  # pylint: disable=bare-except
+            return False
+
+    ctx = dat.ctx if hasattr(dat, 'ctx') else None
+    dtype = np.dtype(dat.dtype)
+    if dtype == np.dtype(np.float32) and is_TF32_enabled(ctx):
+        return np.dtype(np.float16)
+    else:
+        return dtype
+
+
+def get_tolerance(dat, tol, default_tol):
+    """ Return the tolerance to be used for dat comparisons based on the given tol, datatype and context.
+    Parameters
+    ----------
+    dat : np.ndarray or mx.nd.array or mx.np.ndarray
+    tol : float, or a dict of dtype->float
+    default_tol : default dict of dtype->float for all types
+    """
 
+    if isinstance(tol, numbers.Number):
+        return tol
 
-def get_rtol(rtol=None):
+    # If the caller has supplied a tol dict, use that if it has an entry for dtype,
+    # else use the supplied default tol dict.
+    dtype = effective_dtype(dat)
+    tol = {} if tol is None else tol
+    return tol.get(dtype, default_tol[dtype])
+
+
+def get_tols(x, y, rtol, atol):
+    """For comparing two datasets 'x' and 'y', what relative and absolute tolerances should be used."""
+    # Tolerance analysis needs 'dtype' of 'x' and 'y', so convert numbers to numpy scalars as needed
+    if isinstance(x, numbers.Number):
+        x = np.array(x)
+    if isinstance(y, numbers.Number):
+        y = np.array(y)
+
+    # If tols are not specified, use the largest default tol for 'x' and 'y' based on their ctx and dtype.
+    rtol = max(get_tolerance(x, rtol, default_rtols()),
+               get_tolerance(y, rtol, default_rtols()))
+    atol = max(get_tolerance(x, atol, default_atols()),
+               get_tolerance(y, atol, default_atols()))
+
+    return rtol, atol
+
+
+def get_atol(atol=None, dtype=np.dtype(np.float64)):
     """Get default numerical threshold for regression test."""
-    # _TODO: get from env variable, different threshold might
-    # be needed for different device and dtype
-    return 1e-5 if rtol is None else rtol
+    return default_atols()[dtype] if atol is None else atol
+
+def get_rtol(rtol=None, dtype=np.dtype(np.float64)):
+    """Get default numerical threshold for regression test."""
+    return default_rtols()[dtype] if rtol is None else rtol
 
 def get_etol(etol=None):
     """Get default numerical threshold for regression test."""
@@ -499,10 +591,8 @@ def np_reduce(dat, axis, keepdims, numpy_reduce_func):
     return ret
 
 
-def find_max_violation(a, b, rtol=None, atol=None):
+def _find_max_violation(a, b, rtol, atol):
     """Finds and returns the location of maximum violation."""
-    rtol = get_rtol(rtol)
-    atol = get_atol(atol)
     # 'smart' absdiff that considers inf's as equals (to match np.allclose)
     absdiff = np.where(np.equal(a, b), 0, np.abs(a-b))
     tol = atol + rtol*np.abs(b)
@@ -565,9 +655,9 @@ def assert_almost_equal(a, b, rtol=None, atol=None, names=('a', 'b'), equal_nan=
     ----------
     a : np.ndarray or mx.nd.array
     b : np.ndarray or mx.nd.array
-    rtol : None or float
+    rtol : None or float or dict of dtype -> float
         The relative threshold. Default threshold will be used if set to ``None``.
-    atol : None or float
+    atol : None or float or dict of dtype -> float
         The absolute threshold. Default threshold will be used if set to ``None``.
     names : tuple of names, optional
         The names used in error message when an exception occurs
@@ -579,8 +669,12 @@ def assert_almost_equal(a, b, rtol=None, atol=None, names=('a', 'b'), equal_nan=
     if not use_broadcast:
         checkShapes(a, b)
 
-    rtol = get_rtol(rtol)
-    atol = get_atol(atol)
+    rtol, atol = get_tols(a, b, rtol, atol)
+
+    if isinstance(a, mx.numpy.ndarray):
+        a = a.asnumpy()
+    if isinstance(b, mx.numpy.ndarray):
+        b = b.asnumpy()
     use_np_allclose = isinstance(a, np.ndarray) and isinstance(b, np.ndarray)
     if not use_np_allclose:
         if not (hasattr(a, 'ctx') and hasattr(b, 'ctx') and a.ctx == b.ctx and a.dtype == b.dtype):
@@ -604,32 +698,37 @@ def assert_almost_equal(a, b, rtol=None, atol=None, names=('a', 'b'), equal_nan=
         a = a.asnumpy()
         b = b.asnumpy()
 
-    index, rel = find_max_violation(a, b, rtol, atol)
-    indexErr = index
-    relErr = rel
-
-    print('\n*** Maximum errors for vector of size {}:  rtol={}, atol={}\n'.format(a.size, rtol, atol))
-    aTmp = a.copy()
-    bTmp = b.copy()
-    i = 1
-    while i <= a.size:
-        if i <= mismatches[0]:
-            print("%3d: Error %f  %s" %(i, rel, locationError(a, b, index, names)))
+    index, rel = _find_max_violation(a, b, rtol, atol)
+    if index != ():
+        # a, b are the numpy arrays
+        indexErr = index
+        relErr = rel
+
+        print('\n*** Maximum errors for vector of size {}:  rtol={}, atol={}\n'.format(a.size, rtol, atol))
+        aTmp = a.copy()
+        bTmp = b.copy()
+        i = 1
+        while i <= a.size:
+            if i <= mismatches[0]:
+                print("%3d: Error %f  %s" %(i, rel, locationError(a, b, index, names)))
+
+            aTmp[index] = bTmp[index] = 0
+            if almost_equal(aTmp, bTmp, rtol, atol, equal_nan=equal_nan):
+                break
 
-        aTmp[index] = bTmp[index] = 0
-        if almost_equal(aTmp, bTmp, rtol, atol, equal_nan=equal_nan):
-            break
+            i += 1
+            if i <= mismatches[1] or mismatches[1] <= 0:
+                index, rel = _find_max_violation(aTmp, bTmp, rtol, atol)
+            else:
+                break
 
-        i += 1
-        if i <= mismatches[1] or mismatches[1] <= 0:
-            index, rel = find_max_violation(aTmp, bTmp, rtol, atol)
-        else:
-            break
+        mismatchDegree = "at least " if mismatches[1] > 0 and i > mismatches[1] else ""
+        errMsg = "Error %f exceeds tolerance rtol=%e, atol=%e (mismatch %s%f%%).\n%s" % \
+                 (relErr, rtol, atol, mismatchDegree, 100*i/a.size, \
+                  locationError(a, b, indexErr, names, maxError=True))
+    else:
+        errMsg = "Error %f exceeds tolerance rtol=%e, atol=%e.\n" % (rel, rtol, atol)
 
-    mismatchDegree = "at least " if mismatches[1] > 0 and i > mismatches[1] else ""
-    errMsg = "Error %f exceeds tolerance rtol=%e, atol=%e (mismatch %s%f%%).\n%s" % \
-             (relErr, rtol, atol, mismatchDegree, 100*i/a.size, \
-             locationError(a, b, indexErr, names, maxError=True))
     np.set_printoptions(threshold=4, suppress=True)
     msg = npt.build_err_msg([a, b], err_msg=errMsg)
 
@@ -648,16 +747,25 @@ def assert_almost_equal_with_err(a, b, rtol=None, atol=None, etol=None,
     ----------
     a : np.ndarray
     b : np.ndarray
+    rtol : None or float or dict of dtype -> float
+        The relative threshold. Default threshold will be used if set to ``None``.
+    atol : None or float or dict of dtype -> float
+        The absolute threshold. Default threshold will be used if set to ``None``.
     threshold : None or float
         The checking threshold. Default threshold will be used if set to ``None``.
     etol : None or float
         The error rate threshold. If etol is float, return true if error_rate < etol even if
         any error is found.
+    names : tuple of names, optional
+        The names used in error message when an exception occurs
+    equal_nan : boolean, optional
+        The flag determining how to treat NAN values in comparison
+    mismatches : tuple of mismatches
+        Maximum number of mismatches to be printed (mismatches[0]) and determine (mismatches[1])
     """
     etol = get_etol(etol)
     if etol > 0:
-        rtol = get_rtol(rtol)
-        atol = get_atol(atol)
+        rtol, atol = get_tols(a, b, rtol, atol)
         if isinstance(a, mx.nd.NDArray):
             a = a.asnumpy()
         if isinstance(b, mx.nd.NDArray):
@@ -665,7 +773,7 @@ def assert_almost_equal_with_err(a, b, rtol=None, atol=None, etol=None,
         equals = np.isclose(a, b, rtol=rtol, atol=atol)
         err = 1 - np.count_nonzero(equals) / equals.size
         if err > etol:
-            index, rel = find_max_violation(a, b, rtol, atol)
+            index, rel = _find_max_violation(a, b, rtol, atol)
             indexErr = index
             relErr = rel
 
@@ -683,7 +791,7 @@ def assert_almost_equal_with_err(a, b, rtol=None, atol=None, etol=None,
 
                 i += 1
                 if i <= mismatches[1] or mismatches[1] <= 0:
-                    index, rel = find_max_violation(aTmp, bTmp, rtol, atol)
+                    index, rel = _find_max_violation(aTmp, bTmp, rtol, atol)
                 else:
                     break
 
@@ -698,31 +806,6 @@ def assert_almost_equal_with_err(a, b, rtol=None, atol=None, etol=None,
         assert_almost_equal(a, b, rtol=rtol, atol=atol, equal_nan=equal_nan)
 
 
-def almost_equal_ignore_nan(a, b, rtol=None, atol=None):
-    """Test that two NumPy arrays are almost equal (ignoring NaN in either array).
-    Combines a relative and absolute measure of approximate eqality.
-    If either the relative or absolute check passes, the arrays are considered equal.
-    Including an absolute check resolves issues with the relative check where all
-    array values are close to zero.
-
-    Parameters
-    ----------
-    a : np.ndarray
-    b : np.ndarray
-    rtol : None or float
-        The relative threshold. Default threshold will be used if set to ``None``.
-    atol : None or float
-        The absolute threshold. Default threshold will be used if set to ``None``.
-    """
-    a = np.copy(a)
-    b = np.copy(b)
-    nan_mask = np.logical_or(np.isnan(a), np.isnan(b))
-    a[nan_mask] = 0
-    b[nan_mask] = 0
-
-    return almost_equal(a, b, rtol, atol)
-
-
 def assert_almost_equal_ignore_nan(a, b, rtol=None, atol=None, names=('a', 'b')):
     """Test that two NumPy arrays are almost equal (ignoring NaN in either array).
     Combines a relative and absolute measure of approximate eqality.
@@ -954,7 +1037,7 @@ def as_stype(var, stype, dtype):
 
     return approx_grads
 
-def check_numeric_gradient(sym, location, aux_states=None, numeric_eps=1e-3, rtol=1e-2,
+def check_numeric_gradient(sym, location, aux_states=None, numeric_eps=None, rtol=None,
                            atol=None, grad_nodes=None, use_forward_train=True, ctx=None,
                            grad_stype_dict=None, dtype=default_dtype()):
     """Verify an operation by checking backward pass via finite difference method.
@@ -979,8 +1062,10 @@ def check_numeric_gradient(sym, location, aux_states=None, numeric_eps=1e-3, rto
         The auxiliary states required when generating the executor for the symbol.
     numeric_eps : float, optional
         Delta for the finite difference method that approximates the gradient.
-    check_eps : float, optional
-        relative error eps used when comparing numeric grad to symbolic grad.
+    rtol : None or float
+        The relative threshold. Default threshold will be used if set to ``None``.
+    atol : None or float
+        The absolute threshold. Default threshold will be used if set to ``None``.
     grad_nodes : None or list or tuple or dict, optional
         Names of the nodes to check gradient on
     use_forward_train : bool
@@ -997,9 +1082,6 @@ def check_numeric_gradient(sym, location, aux_states=None, numeric_eps=1e-3, rto
     [1] https://github.com/Theano/Theano/blob/master/theano/gradient.py
     """
     assert dtype in (np.float16, np.float32, np.float64)
-    # cannot use finite differences with small eps without high precision
-    if dtype in (np.float32, np.float16):
-        assert numeric_eps >= 1e-5
     if ctx is None:
         ctx = default_context()
 
@@ -1074,18 +1156,18 @@ def random_projection(shape):
 
     executor.forward(is_train=True)
     assert len(executor.outputs) == 1
+
+    eps = get_tolerance(executor.outputs[0], numeric_eps, default_numeric_eps())
+    # cannot use finite differences with small eps without high precision
+    if dtype in (np.float32, np.float16):
+        assert eps >= 1e-5
+
     executor.backward()
-    symbolic_grads = {}
-    for k in grad_nodes:
-        grad_k = executor.grad_dict[k]
-        if grad_k is not None:
-            symbolic_grads[k] = grad_k.asnumpy()
-        else:
-            symbolic_grads[k] = None
+    symbolic_grads = executor.grad_dict
 
     numeric_gradients = numeric_grad(
         executor, location_npy, aux_states_npy,
-        eps=numeric_eps, use_forward_train=use_forward_train, dtype=dtype)
+        eps=eps, use_forward_train=use_forward_train, dtype=dtype)
 
     for name in grad_nodes:
         fd_grad = numeric_gradients[name]
@@ -1095,6 +1177,8 @@ def random_projection(shape):
             assert_almost_equal(fd_grad, sym_grad, rtol, atol,
                                 ("NUMERICAL_%s"%name, "BACKWARD_%s"%name))
         elif grad_req[name] == 'add':
+            if isinstance(sym_grad, mx.nd.NDArray):
+                sym_grad = sym_grad.asnumpy()
             assert_almost_equal(fd_grad, sym_grad - orig_grad, rtol, atol,
                                 ("NUMERICAL_%s"%name, "BACKWARD_%s"%name))
         elif grad_req[name] == 'null':
@@ -1103,7 +1187,7 @@ def random_projection(shape):
             raise ValueError("Invalid grad_req %s for argument %s"%(grad_req[name], name))
 
 
-def check_symbolic_forward(sym, location, expected, rtol=1E-4, atol=None,
+def check_symbolic_forward(sym, location, expected, rtol=None, atol=None,
                            aux_states=None, ctx=None, equal_nan=False,
                            dtype=default_dtype()):
     """Compares a symbol's forward results with the expected ones.
@@ -1127,8 +1211,10 @@ def check_symbolic_forward(sym, location, expected, rtol=1E-4, atol=None,
             Contains arrays corresponding to exe.outputs.
         - if type is dict of str to np.ndarray
             Contains mapping between sym.list_output() and exe.outputs.
-    check_eps : float, optional
-        Relative error to check to.
+    rtol : None or float
+        The relative threshold. Default threshold will be used if set to ``None``.
+    atol : None or float
+        The absolute threshold. Default threshold will be used if set to ``None``.
     aux_states : list of np.ndarray of dict, optional
         - if type is list of np.ndarray
             Contains all the NumPy arrays corresponding to sym.list_auxiliary_states
@@ -1177,14 +1263,14 @@ def check_symbolic_forward(sym, location, expected, rtol=1E-4, atol=None,
 
     executor.forward(is_train=False)
 
-    outputs = [x.asnumpy() for x in executor.outputs]
+    outputs = executor.outputs
     for output_name, expect, output in zip(sym.list_outputs(), expected, outputs):
         assert_almost_equal(expect, output, rtol, atol,
                             ("EXPECTED_%s"%output_name, "FORWARD_%s"%output_name),
                             equal_nan=equal_nan)
     return executor.outputs
 
-def check_symbolic_backward(sym, location, out_grads, expected, rtol=1e-5, atol=None,
+def check_symbolic_backward(sym, location, out_grads, expected, rtol=None, atol=None,
                             aux_states=None, grad_req='write', ctx=None, grad_stypes=None,
                             equal_nan=False, dtype=default_dtype()):
     """Compares a symbol's backward results with the expected ones.
@@ -1215,8 +1301,10 @@ def check_symbolic_backward(sym, location, out_grads, expected, rtol=1e-5, atol=
             Contains arrays corresponding to exe.grad_arrays
         - if type is dict of str to np.ndarray
             Contains mapping between ``sym.list_arguments()`` and exe.outputs.
-    check_eps: float, optional
-        Relative error to check to.
+    rtol : None or float
+        The relative threshold. Default threshold will be used if set to ``None``.
+    atol : None or float
+        The absolute threshold. Default threshold will be used if set to ``None``.
     aux_states : list of np.ndarray or dict of str to np.ndarray
     grad_req : str or list of str or dict of str to str, optional
         Gradient requirements. 'write', 'add' or 'null'.
@@ -1302,7 +1390,7 @@ def check_symbolic_backward(sym, location, out_grads, expected, rtol=1e-5, atol=
         assert out_grads is None
     executor.backward(out_grads)
 
-    grads = {k: v.asnumpy() for k, v in args_grad_data.items()}
+    grads = args_grad_data
 
     for name in expected:
         if grad_req[name] == 'write':
@@ -1310,7 +1398,8 @@ def check_symbolic_backward(sym, location, out_grads, expected, rtol=1e-5, atol=
                                 ("EXPECTED_%s"%name, "BACKWARD_%s"%name),
                                 equal_nan=equal_nan)
         elif grad_req[name] == 'add':
-            assert_almost_equal(expected[name], grads[name] - args_grad_npy[name],
+            grad = grads[name].asnumpy() if isinstance(grads[name], mx.nd.NDArray) else grads[name]
+            assert_almost_equal(expected[name], grad - args_grad_npy[name],
                                 rtol, atol, ("EXPECTED_%s"%name, "BACKWARD_%s"%name),
                                 equal_nan=equal_nan)
         elif grad_req[name] == 'null':
@@ -1395,16 +1484,8 @@ def check_speed(sym, location=None, ctx=None, N=20, grad_req=None, typ="whole",
         raise ValueError('typ can only be "whole" or "forward".')
 
 
-def get_tolerance(rtol, ctx):
-    if 'atol' in ctx:
-        return ctx['atol']
-    if 'atol_mult' in ctx:
-        return ctx['atol_mult'] * rtol
-    return rtol
-
-
 def check_consistency(sym, ctx_list, scale=1.0, grad_req='write',
-                      arg_params=None, aux_params=None, tol=None,
+                      arg_params=None, aux_params=None, rtol=None, atol=None,
                       raise_on_err=True, ground_truth=None, equal_nan=False,
                       use_uniform=False, rand_type=np.float64):
     """Check symbol gives the same output for different running context
@@ -1419,6 +1500,20 @@ def check_consistency(sym, ctx_list, scale=1.0, grad_req='write',
         Standard deviation of the inner normal distribution. Used in initialization.
     grad_req : str or list of str or dict of str to str
         Gradient requirement.
+    arg_params : dict of input name -> input data
+        data to use for non-aux inputs
+    aux_params : dict of input name -> input data
+        data to use for aux inputs
+    rtol : float or dictionary dtype->float, optional
+        The relative error tolerance.
+    atol : float or dictionary dtype->float, optional
+        The absolute error tolerance.
+    raise_on_err : bool, optional, defaults to True
+        Should an error raise an exception (or just output exception message)
+    ground_truth : dict of output name -> data, optional
+        Provided ideal result to be compared against
+    equal_nan : bool, optional, defaults to False
+        Should nans be treated as equal in the comparison
     use_unifrom: bool
         Optional, When flag set to true,
         random input data generated follows uniform distribution,
@@ -1454,20 +1549,6 @@ def check_consistency(sym, ctx_list, scale=1.0, grad_req='write',
   'type_dict': {'concat_arg0': np.float32, 'concat_arg1': np.float32}}]
     >>> check_consistency(sym, ctx_list)
     """
-    if tol is None:
-        tol = {np.dtype(np.float16): 1e-1,
-               np.dtype(np.float32): 1e-3,
-               np.dtype(np.float64): 1e-5,
-               np.dtype(np.uint8): 0,
-               np.dtype(np.int32): 0,
-               np.dtype(np.int64): 0}
-    elif isinstance(tol, numbers.Number):
-        tol = {np.dtype(np.float16): tol,
-               np.dtype(np.float32): tol,
-               np.dtype(np.float64): tol,
-               np.dtype(np.uint8): tol,
-               np.dtype(np.int32): tol,
-               np.dtype(np.int64): tol}
 
     assert len(ctx_list) > 1
     if isinstance(sym, Symbol):
@@ -1485,10 +1566,16 @@ def check_consistency(sym, ctx_list, scale=1.0, grad_req='write',
 
     arg_params = {} if arg_params is None else arg_params
     aux_params = {} if aux_params is None else aux_params
-    for n, arr in exe_list[0].arg_dict.items():
+
+    # returns the least precise of two dtypes
+    def smaller_dtype(dt1, dt2):
+        return dt1 if dt2 is None or np.dtype(dt1).itemsize < np.dtype(dt2).itemsize else dt2
+
+    # It's important to assign random inputs in a deterministic order, for reproducibility.
+    for n, arr in _sorted_items(exe_list[0].arg_dict):
         if n not in arg_params:
             if use_uniform:
-                arg_params[n] = np.random.uniform(low=-0.92, high=0.92,
+                arg_params[n] = np.random.uniform(low=-0.92 * scale, high=0.92 * scale,
                                                   size=arr.shape).astype(rand_type)
             else:
                 arg_params[n] = np.random.normal(size=arr.shape,
@@ -1511,25 +1598,22 @@ def check_consistency(sym, ctx_list, scale=1.0, grad_req='write',
         exe.forward(is_train=False)
 
     dtypes = [np.dtype(exe.outputs[0].dtype) for exe in exe_list]
-    max_idx = np.argmax(dtypes)
+    # Select the ground truth as the first model having the highest precision output[0]
+    gt_idx = np.argmax(dtypes)
     gt = ground_truth
     if gt is None:
-        gt = exe_list[max_idx].output_dict.copy()
+        gt = exe_list[gt_idx].output_dict.copy()
 
     for i, exe in enumerate(exe_list):
-        if i == max_idx:
+        if i == gt_idx:
             continue
 
-        rtol = tol[dtypes[i]]
-        atol = get_tolerance(rtol, ctx_list[i])
         for name, arr in zip(output_names, exe.outputs):
-            # Previously, the cast was to dtypes[i], but symbol may be mixed-precision,
-            # so casting the ground truth to the actual output type seems more correct.
-            gtarr = gt[name].astype(arr.dtype)
+            gtarr = gt[name]
             try:
                 assert_almost_equal(arr, gtarr, rtol=rtol, atol=atol, equal_nan=equal_nan)
             except AssertionError as e:
-                print('Predict Err: ctx %d vs ctx %d at %s'%(i, max_idx, name))
+                print('Predict Err: ctx %d vs ctx %d at %s'%(i, gt_idx, name))
                 traceback.print_exc()
                 if raise_on_err:
                     raise e
@@ -1538,33 +1622,55 @@ def check_consistency(sym, ctx_list, scale=1.0, grad_req='write',
 
     # train
     if grad_req != 'null':
+        # Perform forward()
         for exe in exe_list:
             exe.forward(is_train=True)
-            exe.backward(exe.outputs)
+        # Use the first executor's output data, cast to the least precise dtype,
+        # as the gradient data to pass to all executor's backward() call.
+        least_precise_dtype = [out.dtype for out in exe_list[0].outputs]
+        for exe in exe_list:
+            least_precise_dtype = [smaller_dtype(out1.dtype, dt) \
+                                    for (out1, dt) in zip(exe.outputs, least_precise_dtype)]
+        golden_data_np = [out.astype(dt).asnumpy() \
+                          for (out, dt) in zip(exe_list[0].outputs, least_precise_dtype)]
+        # Perform backward()
+        for exe in exe_list:
+            out_grads = [mx.nd.array(golden_np, ctx=exe._ctx,
+                                     dtype=out.dtype).tostype(out.stype)
+                         for (golden_np, out) in zip(golden_data_np, exe.outputs)]
+            exe.backward(out_grads)
+
         gt = ground_truth
         if gt is None:
-            gt = exe_list[max_idx].output_dict.copy()
+            gt = exe_list[gt_idx].output_dict.copy()
             if grad_req != 'null':
-                gt.update(exe_list[max_idx].grad_dict)
+                gt.update(exe_list[gt_idx].grad_dict)
         for i, exe in enumerate(exe_list):
-            if i == max_idx:
+            if i == gt_idx:
                 continue
 
-            rtol = tol[dtypes[i]]
-            atol = get_tolerance(rtol, ctx_list[i])
             curr = zip(output_names + arg_names, exe.outputs + exe.grad_arrays)
             for name, arr in curr:
                 if gt[name] is None:
                     assert arr is None, name
                     continue
 
-                # Previous cast was to dtypes[i], but symbol may be mixed-precision,
-                # so casting the ground truth to the actual output type seems more correct.
-                gtarr = gt[name].astype(arr.dtype)
+                gtarr = gt[name]
                 try:
-                    assert_almost_equal(arr, gtarr, rtol=rtol, atol=atol, equal_nan=equal_nan)
+                    rt, at = rtol, atol
+                    # If the primary data i/o type is float16, then the tolerance used when
+                    # comparing a float32 input gradient (e.g. batchnorm gamma) should be float16.
+                    smaller_arr_dtype = smaller_dtype(arr.dtype, dtypes[i])
+                    smaller_gt_dtype = smaller_dtype(gtarr.dtype, dtypes[gt_idx])
+                    if smaller_arr_dtype != arr.dtype or \
+                       smaller_gt_dtype != gtarr.dtype:
+                        rt, at = get_tols(arr.astype(smaller_arr_dtype),
+                                          gtarr.astype(smaller_gt_dtype), rtol, atol)
+                    assert_almost_equal(arr, gtarr, rtol=rt, atol=at, equal_nan=equal_nan)
                 except AssertionError as e:
-                    print('Train Err: ctx %d vs ctx %d at %s'%(i, max_idx, name))
+                    print('Train Err: {} {} ctx {} vs {} {} ctx {} at {}'.format(
+                        np.dtype(arr.dtype).name, arr.ctx, i,
+                        np.dtype(gtarr.dtype).name, gtarr.ctx, gt_idx, name))
                     traceback.print_exc()
                     if raise_on_err:
                         raise e
@@ -1815,27 +1921,6 @@ def get_bz2_data(data_dir, data_name, url, data_origin_name):
             bz_file.close()
         os.remove(data_origin_name)
 
-def set_env_var(key, val, default_val=""):
-    """Set environment variable
-
-    Parameters
-    ----------
-
-    key : str
-        Env var to set
-    val : str
-        New value assigned to the env var
-    default_val : str, optional
-        Default value returned if the env var doesn't exist
-
-    Returns
-    -------
-    str
-        The value of env var before it is set to the new value
-    """
-    prev_val = os.environ.get(key, default_val)
-    os.environ[key] = val
-    return prev_val
 
 def same_array(array1, array2):
     """Check whether two NDArrays sharing the same memory block
@@ -1860,9 +1945,11 @@ def same_array(array1, array2):
     array1[:] -= 1
     return same(array1.asnumpy(), array2.asnumpy())
 
+
 @contextmanager
 def discard_stderr():
-    """Discards error output of a routine if invoked as:
+    """
+    Discards error output of a routine if invoked as:
 
     with discard_stderr():
         ...
@@ -2295,22 +2382,79 @@ def same_symbol_structure(sym1, sym2):
     return True
 
 
-class EnvManager(object):
-    """Environment variable setter and unsetter via with idiom"""
-    def __init__(self, key, val):
-        self._key = key
-        self._next_val = val
-        self._prev_val = None
+@contextmanager
+def environment(*args):
+    """
+    Environment variable setter and unsetter via `with` idiom.
 
-    def __enter__(self):
-        self._prev_val = os.environ.get(self._key)
-        os.environ[self._key] = self._next_val
+    Takes a specification of env var names and desired values and adds those
+    settings to the environment in advance of running the body of the `with`
+    statement.  The original environment state is restored afterwards, even
+    if exceptions are raised in the `with` body.
 
-    def __exit__(self, ptype, value, trace):
-        if self._prev_val:
-            os.environ[self._key] = self._prev_val
-        else:
-            del os.environ[self._key]
+    Parameters
+    ----------
+    args:
+        if 2 args are passed:
+            name, desired_value strings of the single env var to update, or
+        if 1 arg is passed:
+            a dict of name:desired_value for env var's to update
+
+    """
+
+    # On Linux, env var changes made through python's os.environ are seen
+    # by the backend.  On Windows though, the C runtime gets a snapshot
+    # of the environment that cannot be altered by os.environ.  Here we
+    # check, using a wrapped version of the backend's getenv(), that
+    # the desired env var value is seen by the backend, and otherwise use
+    # a wrapped setenv() to establish that value in the backend.
+
+    # Also on Windows, a set env var can never have the value '', since
+    # the command 'set FOO= ' is used to unset the variable.  Perhaps
+    # as a result, the wrapped dmlc::GetEnv() routine returns the same
+    # value for unset variables and those set to ''.  As a result, we
+    # ignore discrepancy.
+    def validate_backend_setting(name, value, can_use_setenv=True):
+        backend_value = getenv(name)
+        if value == backend_value or \
+           value == '' and backend_value is None and platform.system() == 'Windows':
+            return
+        if not can_use_setenv:
+            raise RuntimeError('Could not set env var {}={} within C Runtime'.format(name, value))
+        setenv(name, value)
+        validate_backend_setting(name, value, can_use_setenv=False)
+
+    # Core routine to alter environment from a dict of env_var_name, env_var_value pairs
+    def set_environ(env_var_dict):
+        for env_var_name, env_var_value in env_var_dict.items():
+            if env_var_value is None:
+                os.environ.pop(env_var_name, None)
+            else:
+                os.environ[env_var_name] = env_var_value
+            validate_backend_setting(env_var_name, env_var_value)
+
+    # Create env_var name:value dict from the two calling methods of this routine
+    if len(args) == 1 and isinstance(args[0], dict):
+        env_vars = args[0]
+    else:
+        assert len(args) == 2, 'Expecting one dict arg or two args: env var name and value'
+        env_vars = {args[0]: args[1]}
+
+    # Take a snapshot of the existing environment variable state
+    # for those variables to be changed.  get() return None for unset keys.
+    snapshot = {x: os.environ.get(x) for x in env_vars.keys()}
+
+    # Alter the environment per the env_vars dict
+    set_environ(env_vars)
+
+    # Now run the wrapped code
+    try:
+        yield
+    finally:
+        # the backend engines may still be referencing the changed env var state
+        mx.nd.waitall()
+        # reinstate original env_var state per the snapshot taken earlier
+        set_environ(snapshot)
 
 
 def collapse_sum_like(a, shape):
@@ -2381,8 +2525,7 @@ def is_op_runnable():
 @use_np
 def check_gluon_hybridize_consistency(net_builder, data_l, numpy_func=None, test_grad=True,
                                       rtol=1E-4, atol=1E-4):
-    """Check whether a HybridBlock has consistent output between the hybridized
-     v.s. non-hybridized versions
+    """Check whether a HybridBlock has consistent output when hybridized or not hybridized
 
     The network should not contain any random number generators.
 
@@ -2404,15 +2547,6 @@ def check_gluon_hybridize_consistency(net_builder, data_l, numpy_func=None, test
     atol : float, optional
         The absolute error tolerance, default 1E-4. Default 1E-4.
     """
-    class _NumpyParamDictInit(mx.init.Initializer):
-        """Initializes parameters with the cached numpy ndarrays dictionary
-        """
-        def __init__(self, np_params):
-            super(_NumpyParamDictInit, self).__init__()
-            self._np_params = np_params
-
-        def _init_weight(self, name, arr):
-            arr[()] = self._np_params[name.attrs['structure']]
     saved_out_np = None
     saved_grad_np_l = None
     params_init = None
@@ -2423,7 +2557,7 @@ def _init_weight(self, name, arr):
             if params_init is None:
                 net.initialize()
             else:
-                net.initialize(params_init)
+                net.load_dict(params_init)
             if hybridize:
                 net.hybridize()
             in_data_l = [ele.copy() for ele in data_l]
@@ -2435,9 +2569,8 @@ def _init_weight(self, name, arr):
                 out.backward(out)
             else:
                 out = net(*in_data_l)
-            if params_init is None:
-                np_params = {k: v.data().asnumpy() for k, v in net.collect_params().items()}
-                params_init = _NumpyParamDictInit(np_params)
+            if params_init is None:  # Deferred initialization finished
+                params_init = {k: v.data().asnumpy() for k, v in net.collect_params().items()}
             if saved_out_np is None:
                 saved_out_np = out.asnumpy()
             else:
diff --git a/python/mxnet/util.py b/python/mxnet/util.py
index b35d3f38aa75..05a2bdad3b77 100644
--- a/python/mxnet/util.py
+++ b/python/mxnet/util.py
@@ -21,7 +21,7 @@
 import inspect
 import threading
 
-from .base import _LIB, check_call
+from .base import _LIB, check_call, c_str, py_str
 
 
 _np_ufunc_default_kwargs = {
@@ -913,6 +913,7 @@ def get_cuda_compute_capability(ctx):
                            .format(ret, error_str.value.decode()))
     return cc_major.value * 10 + cc_minor.value
 
+
 def default_array(source_array, ctx=None, dtype=None):
     """Creates an array from any object exposing the default(nd or np) array interface.
 
@@ -1144,3 +1145,35 @@ def set_np_default_dtype(is_np_default_dtype=True):  # pylint: disable=redefined
     prev = ctypes.c_bool()
     check_call(_LIB.MXSetIsNumpyDefaultDtype(ctypes.c_bool(is_np_default_dtype), ctypes.byref(prev)))
     return prev.value
+
+
+def getenv(name):
+    """Get the setting of an environment variable from the C Runtime.
+
+    Parameters
+    ----------
+    name : string type
+        The environment variable name
+
+    Returns
+    -------
+    value : string
+        The value of the environment variable, or None if not set
+    """
+    ret = ctypes.c_char_p()
+    check_call(_LIB.MXGetEnv(c_str(name), ctypes.byref(ret)))
+    return None if ret.value is None else py_str(ret.value)
+
+
+def setenv(name, value):
+    """Set an environment variable in the C Runtime.
+
+    Parameters
+    ----------
+    name : string type
+        The environment variable name
+    value : string type
+        The desired value to set the environment value to
+    """
+    passed_value = None if value is None else c_str(value)
+    check_call(_LIB.MXSetEnv(c_str(name), passed_value))
diff --git a/python/setup.py b/python/setup.py
index a040cbbf74e2..e2b4d645a792 100644
--- a/python/setup.py
+++ b/python/setup.py
@@ -30,7 +30,7 @@
 else:
     from setuptools import setup
     from setuptools.extension import Extension
-    kwargs = {'install_requires': ['numpy>=1.17', 'requests>=2.20.0,<3', 'graphviz<0.9.0,>=0.8.1'], 'zip_safe': False}
+    kwargs = {'install_requires': ['numpy>=1.17', 'requests>=2.20.0,<3', 'graphviz<0.9.0,>=0.8.1', 'contextvars;python_version<"3.7"'], 'zip_safe': False}
 
 with_cython = False
 if '--with-cython' in sys.argv:
diff --git a/setup-utils/install-mxnet-amz-linux.sh b/setup-utils/install-mxnet-amz-linux.sh
deleted file mode 100644
index 66788a984da6..000000000000
--- a/setup-utils/install-mxnet-amz-linux.sh
+++ /dev/null
@@ -1,82 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-######################################################################
-# This script installs MXNet for Python along with all required dependencies on a Amazon Linux Machine.
-######################################################################
-set -e
-# CMake is required for installing dependencies.
-sudo yum install -y cmake
-
-# Set appropriate library path env variables
-echo 'export PATH=/usr/local/bin:$PATH' >> ~/.profile
-echo 'export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH' >> ~/.profile
-echo 'export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig:$PKG_CONFIG_PATH' >> ~/.profile
-echo '. ~/.profile' >> ~/.bashrc
-source ~/.profile
-
-# Install gcc-4.8/make and other development tools on Amazon Linux
-# Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/compile-software.html
-# Install Python, Numpy, Scipy and set up tools.
-sudo yum groupinstall -y "Development Tools"
-sudo yum install -y python27 python27-setuptools python27-tools python-pip graphviz
-sudo yum install -y python27-numpy python27-scipy python27-nose python27-matplotlib
-
-# Install OpenBLAS at /usr/local/openblas
-git clone https://github.com/xianyi/OpenBLAS
-cd OpenBLAS
-make FC=gfortran -j $(($(nproc) + 1))
-sudo make PREFIX=/usr/local install
-cd ..
-
-# Install OpenCV at /usr/local/opencv
-git clone https://github.com/opencv/opencv
-cd opencv
-mkdir -p build
-cd build
-cmake -D BUILD_opencv_gpu=OFF -D WITH_EIGEN=ON -D WITH_TBB=ON -D WITH_CUDA=OFF -D WITH_1394=OFF -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
-sudo make PREFIX=/usr/local install
-
-# Export env variables for pkg config
-export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig:$PKG_CONFIG_PATH
-
-# Install MXNet Core without CUDA
-MXNET_HOME="$HOME/mxnet/"
-cd "$MXNET_HOME"
-cp make/config.mk .
-echo "USE_CUDA=0" >>config.mk
-echo "USE_CUDNN=0" >>config.mk
-echo "USE_BLAS=openblas" >>config.mk
-echo "ADD_CFLAGS += -I/usr/include/openblas" >>config.mk
-echo "ADD_LDFLAGS += -lopencv_core -lopencv_imgproc -lopencv_imgcodecs" >>config.mk
-sudo make -j$(nproc)
-
-# Install MXNet Python package
-cd python
-sudo python setup.py install
-
-# Add MXNet path to ~/.bashrc file
-echo "export PYTHONPATH=$MXNET_HOME/python:$PYTHONPATH" >> ~/.bashrc
-source ~/.bashrc
-
-# Install graphviz for visualizing network graph and jupyter notebook to run tutorials and examples
-sudo pip install graphviz
-sudo pip install jupyter
-
-echo "Done! MXNet for Python installation is complete. Go ahead and explore MXNet with Python :-)"
diff --git a/setup-utils/install-mxnet-fedora-python.sh b/setup-utils/install-mxnet-fedora-python.sh
deleted file mode 100644
index 86116665db88..000000000000
--- a/setup-utils/install-mxnet-fedora-python.sh
+++ /dev/null
@@ -1,55 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-######################################################################
-# This script installs MXNet for Python along with all required dependencies on a Fedora Machine.
-# Tested on Fedora 21.0 + distro.
-######################################################################
-set -e
-
-MXNET_HOME="$HOME/mxnet/"
-echo "MXNet root folder: $MXNET_HOME"
-
-echo "Installing basic development tools, atlas, opencv, pip, graphviz ..."
-sudo yum update
-sudo yum groupinstall -y "Development Tools" "Development Libraries"
-sudo yum install -y atlas atlas-devel opencv opencv-devel graphviz graphviz-devel
-
-echo "Building MXNet core. This can take few minutes..."
-cd "$MXNET_HOME"
-cp make/config.mk .
-make -j$(nproc)
-
-echo "Installing Numpy..."
-sudo yum install numpy
-
-echo "Installing Python setuptools..."
-sudo yum install -y python-setuptools python-pip
-
-echo "Adding MXNet path to your ~/.bashrc file"
-echo "export PYTHONPATH=$MXNET_HOME/python:$PYTHONPATH" >> ~/.bashrc
-source ~/.bashrc
-
-echo "Install Graphviz for plotting MXNet network graph..."
-sudo pip install graphviz
-
-echo "Installing Jupyter notebook..."
-sudo pip install jupyter
-
-echo "Done! MXNet for Python installation is complete. Go ahead and explore MXNet with Python :-)"
diff --git a/setup-utils/install-mxnet-osx-python.sh b/setup-utils/install-mxnet-osx-python.sh
deleted file mode 100755
index 0dde8096b315..000000000000
--- a/setup-utils/install-mxnet-osx-python.sh
+++ /dev/null
@@ -1,554 +0,0 @@
-#!/bin/bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-#
-# This scripts installs the dependencies and compiles
-# MXNet source.
-#
-# The script also installs the MXNet package for Python.
-#
-
-#set -ex
-
-export MXNET_GITPATH="https://github.com/apache/incubator-mxnet"
-
-
-if [ -z ${MXNET_TAG} ];
-then
-    export MXNET_BRANCH_TAG=""
-else
-    export MXNET_BRANCH_TAG="--branch $MXNET_TAG"
-fi
-
-export TARIKH=`/bin/date +%Y-%m-%d-%H:%M:%S`
-if [ -z ${MXNET_HOME} ];
-then
-	export MXNET_HOME="$HOME/mxnet"
-fi
-export MXNET_HOME_OLD="$HOME/mxnet_${TARIKH}"
-export MXNET_LOG=${MXNET_HOME}/buildMXNet_mac.log
-
-# Insert the Homebrew directory at the top of your PATH environment variable
-export PATH="$PATH:/usr/local/bin:/usr/local/sbin" # for brew
-export PATH="$PATH:/usr/bin:/opt/local/bin"        # for macports
-
-export MACPORTS_WEB="https://guide.macports.org/chunked/installing.macports.html"
-
-export BREW_PKGS="pkg-config python   opencv graphviz homebrew/core/openblas"
-export PORT_PKGS="pkgconfig  python36 opencv graphviz openblas-devel"
-
-# graphviz, opencv-python skipped since already installed via brew/port
-export PIP_PKGS_ALL="cython numpy"
-export PIP_PKGS_USER="requests jupyter"
-
-export SLEEP_TIME=2
-LINE="########################################################################"
-
-print_intro_msg() {
-	#
-	# NOTE: Please test and ensure that the message does NOT scroll
-	#       beyond the standard 80x25 format of a terminal shell.
-	#
-	echo $LINE
-	echo " "
-	echo "MXNet is a flexible, efficient and scalable library for Deep Learning."
-	echo " "
-	echo "This script installs MXNet on MacOS in \${MXNET_HOME}"
-	echo "If not set, the default value of \${MXNET_HOME} = ~/mxnet"
-	echo "The current value of \${MXNET_HOME} = ${MXNET_HOME}"
-	echo " "
-	echo "If this directory is already present, it is renamed to retain earlier contents."
-	echo "You may want to check and delete this directory if not required."
-	echo " "
-	echo "This script has been tested on: MacOS El Capitan (10.11) and Sierra (10.12)"
-	echo " "
-	echo "If you face any problems with this script, please let us know at:"
-	echo "    https://discuss.mxnet.io/"
-	echo " "
-	echo "Typical run-time for this script is around 10 minutes."
-	echo "If your environment has never been setup for development (e.g. gcc), "
-	echo "it could take up to 30 minutes or longer."
-	echo " "
-	MACOS_VERSION=`/usr/bin/uname -r`
-	echo "Your macOS version is: $MACOS_VERSION"
-	echo " "
-	echo $LINE
-	read -p "Do you want to continue? (y/n): " response
-	echo " "
-	while true; do
-		case $response in
-			[Yy]* ) break;;
-			[Nn]* ) exit;;
-			* ) echo "Please answer yes or no.";;
-		esac
-	done
-	echo " "
-	echo " "
-	echo "MXNET GIT Path = ${MXNET_GITPATH}"
-	echo "MXNET Tag = ${MXNET_TAG}"
-	echo "You can set \$MXNET_TAG to the appropriate github repo tag"
-	echo "If not set, the default value used is the latest version on master"
-	read -p "Do you want to get a list of available tags? (y/n): " response
-	while true; do
-		case $response in
-			[Yy]* ) 
-				echo "Available tags are:"
-				git ls-remote --tags ${MXNET_GITPATH} | sed 's/refs\/tags\///' | grep -v v | grep -v 201 \
-				    | grep -v "{}" | awk '{ print "   ", $2 }'; 
-				break;;
-			[Nn]* ) break;;
-			* ) echo "Please answer yes or no.";;
-		esac
-	done
-	read -p "Do you want to continue? (y/n): " response
-	echo " "
-	while true; do
-		case $response in
-			[Yy]* ) break;;
-			[Nn]* ) exit;;
-			* ) echo "Please answer yes or no.";;
-		esac
-	done
-} # print_intro_msg()
-
-# wrapper routine to stop the script if the command invoked returns error
-chkret() {
-	cmd=$*
-	echo "$cmd"
-	$cmd
-	ret=$?
-	if [[ ${ret} != 0 ]]; then
-		echo " "
-		echo "ERROR: Return value non-zero for: $cmd"
-		echo " "
-		exit 1
-	fi
-} # chkret()
-
-chk_mac_vers() {
-	export mac_vers=`sw_vers -productVersion | cut -d '.' -f 1,2`
-	if [[ $mac_vers != "10.11" && $mac_vers != "10.12" ]];
-	then
-		echo " "
-		echo "ERROR: macOS version $mac_vers NOT supported."
-		echo " "
-		echo "Your macOS version is:"
-		sw_vers
-		echo " "
-		exit 1
-	fi
-} # chk_mac_vers()
-
-install_brew() {
-	echo " "
-	while true; do
-		echo "This script will install/update brew and "
-		echo "following dependent packages required for MXNet."
-		echo "      Dependent brew packages: ${BREW_PKGS}"
-		echo "      Dependent pip  packages: ${PIP_PKGS_ALL} ${PIP_PKGS_USER}"
-		read -p "Do you want to continue? (y/n): " response
-		echo " "
-		case $response in
-			[Yy]* ) break;;
-			[Nn]* ) exit;;
-			* ) echo "Please answer yes or no.";;
-		esac
-	done
-
-	echo " "
-	echo "BEGIN: Check/Install/Update Homebrew"
-	BREW_PATH=`which brew`
-	if [[ (-z ${BREW_PATH})  ||  (! -f ${BREW_PATH}) ]];
-	then
-		yes '' | /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
-		ret=$?
-		if [[ ${ret} != 0 ]]; then
-			echo " "
-			echo "ERROR: Return value non-zero for: homebrew installation using ruby"
-			echo " "
-			exit 1
-		fi
-	else
-		chkret brew update
-	fi
-	echo "END: Check/Install/Update Homebrew"
-	echo $LINE
-	echo " "
-
-	echo "BEGIN: Install dependent brew packages for MXNet: ${BREW_PKGS}"
-
-	chkret brew tap homebrew/core
-
-	# install each individually to see progress for each
-	for pkg in ${BREW_PKGS}
-	do
-		chkret brew_pkg_install ${pkg}
-	done
-
-	echo "END: Install dependent brew packages for MXNet: ${BREW_PKGS}"
-	echo $LINE
-	echo " "
-} # install_brew()
-
-brew_pkg_install () {
-	pkg=$1
-	brew ls --versions $pkg > /dev/null
-	ret=$?
-	if [[ ${ret} != 0 ]]; then
-		echo "brew install $pkg"
-		brew install $pkg
-	else
-		echo "$pkg already installed"
-	fi
-} # brew_pkg_install
-
-install_port () {
-	echo " "
-	while true; do
-		echo "This script will install/update port and "
-		echo "following dependent packages required for MXNet."
-		echo "      Dependent port packages: ${PORT_PKGS}"
-		echo "      Dependent pip  packages: ${PIP_PKGS_ALL} ${PIP_PKGS_USER}"
-		read -p "Do you want to continue? (y/n): " response
-		echo " "
-		case $response in
-			[Yy]* ) break;;
-			[Nn]* ) exit;;
-			* ) echo "Please answer yes or no.";;
-		esac
-	done
-
-	echo " "
-	echo "BEGIN: Check/Install/Update port"
-	MACPORTS_PATH=`which port`
-	if [[ (-z ${MACPORTS_PATH})  ||  (! -f ${MACPORTS_PATH}) ]];
-	then
-		echo " "
-		echo "ERROR: Please install port for your macOS version from:"
-		echo " "
-		echo $MACPORTS_WEB
-		echo " "
-		exit 1
-	else
-		echo "NOTE: Updating port if required"
-		export SLEEP_TIME=2
-		sudo port upgrade outdated
-		echo " "
-		echo "port version is:"
-		port version
-		echo " "
-	fi
-	echo "END: Check/Install/Update port"
-	echo $LINE
-	echo " "
-
-	echo "BEGIN: Install dependent port packages for MXNet: ${PORT_PKGS}"
-	echo " "
-	#sudo port install python36-readline
-	# install each individually to see progress for each
-	for pkg in ${PORT_PKGS}
-	do
-		chkret sudo port install ${pkg}
-	done
-	if [[ ! -f /opt/local/include/cblas.h ]];
-	then
-		sudo ln -s /opt/local/include/cblas_openblas.h /opt/local/include/cblas.h
-	fi
-	#if [[ ! -f /usr/local/opt/openblas/lib/libopenblas.a ]];
-	#then
-	#	sudo mkdir -p /usr/local/opt/openblas/lib
-	#	sudo ln -s /opt/local/lib/libopenblas.a /usr/local/opt/openblas/lib/libopenblas.a
-	#fi
-
-	echo " "
-	echo "END: Install dependent port packages for MXNet: ${PORT_PKGS}"
-	echo $LINE
-	echo " "
-} # install_port
-
-install_mac_pkg_manager() {
-	BREW_PATH=`which brew`
-	if [[ (-z ${BREW_PATH})  ||  (! -f ${BREW_PATH}) ]];
-	then
-		echo "NOTE: brew NOT installed"
-		export MAC_BREW=0
-	else
-		echo "NOTE: brew installed"
-		export MAC_BREW=1
-		export PKG_MGR="brew"
-	fi
-
-	MACPORTS_PATH=`which port`
-	if [[ (-z ${MACPORTS_PATH})  ||  (! -f ${MACPORTS_PATH}) ]];
-	then
-		echo "NOTE: port NOT installed"
-		export MAC_PORT=0
-	else
-		echo "NOTE: port installed"
-		export MAC_PORT=1
-		export PKG_MGR="port"
-	fi
-
-	if [[ $MAC_PORT -eq 1 && $MAC_BREW -eq 1 ]];
-	then
-		echo "NOTE: Both port and brew installed"
-		export MAC_PKG_ASK=1
-		export PKG_MGR=""
-	elif [[ $MAC_PORT -eq 0 && $MAC_BREW -eq 0 ]];
-	then
-		echo "NOTE: Neither port and brew installed"
-		export MAC_PKG_ASK=1
-		export PKG_MGR=""
-	else
-		export MAC_PKG_ASK=0
-
-		while true; do
-			echo "NOTE: Using the already installed package manager: $PKG_MGR"
-			read -p "Do you want to continue? (y/n): " response
-			echo " "
-			case $response in
-				[Yy]* ) break;;
-				[Nn]* ) exit;;
-				* ) echo "Please answer yes or no.";;
-			esac
-		done
-	fi
-
-	if [[ $MAC_PKG_ASK -eq 1 ]];
-	then
-		export MAC_BREW=0
-		export MAC_PORT=0
-		while true; do
-			echo " "
-			echo "NOTE: This script supports Homebrew OR Port package manager."
-			echo " "
-			read -p "Which package manager do you want to use? (b/p): " pkg_mgr
-			echo " "
-			case $pkg_mgr in
-				[Bb]* ) export MAC_BREW=1; break;;
-				[Pp]* ) export MAC_PORT=1; break;;
-				* ) echo "Please answer: b or p";;
-			esac
-		done
-	fi
-
-	if [[ $MAC_PORT -eq 1 ]];
-	then
-		install_port
-	else
-		install_brew
-	fi
-} # install_mac_pkg_manager
-
-install_dep_pip_for_mxnet() {
-	echo " "
-	echo "BEGIN: Install dependent pip packages for MXNet: "
-	echo "${PIP_PKGS_ALL} ${PIP_PKGS_USER}"
-	echo " "
-
-	# NOTE: sudo used here
-	chkret sudo easy_install pip
-	chkret sudo pip install --upgrade pip
-	for pkg in ${PIP_PKGS_ALL}
-	do
-		chkret sudo pip install ${pkg}
-	done
-	#chkret sudo pip install --upgrade numpy
-
-	# NOTE: no sudo used here
-	for pkg in ${PIP_PKGS_USER}
-	do
-		chkret pip install --user ${pkg}
-	done
-
-	echo "END: Install dependent pip packages for MXNet: ${PIP_PKGS_ALL} ${PIP_PKGS_USER}"
-	echo $LINE
-	echo " "
-} # install_dep_pip_for_mxnet()
-
-# check if mxnet is already installed through other means
-chk_mxnet_installed() {
-	mxnet_installed=`pip list --format=columns | grep mxnet`
-	if [ "$mxnet_installed" != "" ]
-	then
-		mxnet_version=`echo $mxnet_installed | awk '{print $2}'`
-		echo "MXNet ${mxnet_version} is already installed."
-		echo "This installation might interfere with current installation attempt."
-		read -p "Do you want to remove installed version? (y/n): " response
-		while true; do
-			case $response in
-            	[Yy]* ) 
-					sudo -H pip uninstall mxnet
-					chk_mxnet_installed
-					break
-					;;
-            	[Nn]* ) 
-					while true; do
-						read -p "Do you want to continue? (y/n): " response1
-        				echo " "
-        				case $response1 in
-            				[Yy]* ) break 2;; # break out of nested loop
-            				[Nn]* ) exit;;
-            				* ) echo "Please answer yes or no.";;
-        				esac
-					done
-					;;
-            	* ) echo "Please answer yes or no.";;
-        	esac
-		done
-	fi
-} # chk_mxnet
-
-download_mxnet() {
-	echo " "
-	echo "BEGIN: Download MXNet"
-	if [ -d ${MXNET_HOME} ]; then
-		mv ${MXNET_HOME} ${MXNET_HOME_OLD}
-		echo " "
-		echo "Renamed directory ${MXNET_HOME} to ${MXNET_HOME_OLD}"
-		echo "You may want to check and delete this directory if not required."
-		echo " "
-		sleep ${SLEEP_TIME}
-	fi
-
-	
-	chkret git clone ${MXNET_BRANCH_TAG} ${MXNET_GITPATH}.git ${MXNET_HOME} --recursive
-	sleep ${SLEEP_TIME}
-	cd ${MXNET_HOME}
-	echo " "
-	sleep ${SLEEP_TIME}
-	echo "END: Download MXNet"
-	echo $LINE
-	echo " "
-} # download_mxnet
-
-compile_mxnet() {
-	# Compile MXNet: It assumes MXNet source is in ${MXNET_HOME}
-	echo "BEGIN: Compile MXNet"
-	cd ${MXNET_HOME}
-	chkret cp make/osx.mk ./config.mk.tmp
-
-	touch ./config.mk
-	# rm any old setting of USE_BLAS, if present in config file
-	egrep -v "^USE_BLAS" ./config.mk.tmp                   >> ./config.mk
-	# add the new setting of USE_BLAS to the config file
-	echo "USE_BLAS = openblas"                             >> ./config.mk
-
-	if [[ $MAC_PORT -eq 1 ]];
-	then
-		echo "ADD_CFLAGS  += -I/opt/local/lib"            >> ./config.mk
-		echo "ADD_LDFLAGS += -L/opt/local/lib"            >> ./config.mk
-		echo "ADD_LDFLAGS += -L/opt/local/lib/graphviz/"  >> ./config.mk
-	else
-		echo "ADD_CFLAGS  += -I/usr/local/opt/openblas/include" >> ./config.mk
-		echo "ADD_LDFLAGS += -L/usr/local/opt/openblas/lib"     >> ./config.mk
-		echo "ADD_LDFLAGS += -L/usr/local/lib/graphviz/"        >> ./config.mk
-	fi
-	echo " "
-
-	echo "NOTE: The following compile-time configurations will be used."
-	echo "      If you want to change any of them, edit the following file"
-	echo "      in another terminal window and then press enter to continue."
-	echo " "
-	echo "      ${MXNET_HOME}/config.mk"
-	echo " "
-	echo $LINE
-	# remove commented and blank lines
-	egrep -v "^#" ${MXNET_HOME}/config.mk   | egrep -v "^$"
-	echo $LINE
-	echo " "
-	read -p "Press enter to continue ..."
-	echo " "
-	echo "Running Make"
-	echo " "
-	chkret make -j$(sysctl -n hw.ncpu)
-	echo "END: Compile MXNet"
-	sleep ${SLEEP_TIME}
-	echo $LINE
-	echo " "
-} # compile_mxnet
-
-install_mxnet_python() {
-	echo " "
-	echo "BEGIN: Install MXNet package for Python"
-	chkret cd ${MXNET_HOME}/python
-	chkret sudo python setup.py install
-	echo "END: Install MXNet package for Python"
-	sleep ${SLEEP_TIME}
-	echo $LINE
-	echo " "
-} # install_mxnet_python
-
-
-test_mxnet_python() {
-	echo "BEGIN: Test MXNet"
-	rm -f mxnet_test.log
-	python  << END > mxnet_test.log
-import mxnet as mx
-a = mx.nd.ones((2, 3));
-print ((a*2).asnumpy());
-END
-	rm -f mxnet_test.expected
-	cat << END > mxnet_test.expected
-[[2. 2. 2.]
- [2. 2. 2.]]
-END
-	diff mxnet_test.log mxnet_test.expected
-	if [[ $? = 0 ]]; then
-		echo " "
-		echo "SUCCESS: MXNet test passed"
-		echo "SUCCESS: MXNet is successfully installed and works fine!"
-		export MXNET_VERSION=`echo "import mxnet as mx; print(mx.__version__)" | python`
-		echo "SUCCESS: MXNet Version is: $MXNET_VERSION"
-		echo "END: Test MXNet"
-		echo ":-)"
-		echo " "
-		echo "FYI : You can fine-tune MXNet run-time behavior using environment variables described at:"
-		echo "      https://mxnet.apache.org/api/faq/env_var"
-		echo " "
-		echo "NEXT: Try the tutorials at: https://mxnet.io/api"
-		echo " "
-		echo $LINE
-		echo " "
-		rm -f mxnet_test.log mxnet_test.expected
-		return 0
-	else
-		echo " "
-		echo "ERROR: Following files differ: mxnet_test.log mxnet_test.expected"
-		echo "ERROR: MXNet test failed"
-		echo "END: Test MXNet"
-		echo " "
-		echo ":-("
-		exit 1
-	fi
-} # test_mxnet_python()
-
-main() {
-	print_intro_msg
-	chk_mac_vers
-	install_mac_pkg_manager
-	install_dep_pip_for_mxnet
-	chk_mxnet_installed
-	download_mxnet
-	compile_mxnet
-	install_mxnet_python
-	test_mxnet_python
-} # main
-
-main
diff --git a/setup-utils/install-mxnet-ubuntu-python.sh b/setup-utils/install-mxnet-ubuntu-python.sh
deleted file mode 100644
index 8aa0d0256a79..000000000000
--- a/setup-utils/install-mxnet-ubuntu-python.sh
+++ /dev/null
@@ -1,59 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-######################################################################
-# This script installs MXNet for Python along with all required dependencies on a Ubuntu Machine.
-# Tested on Ubuntu 14.0 + distro.
-######################################################################
-set -e
-
-MXNET_HOME="$HOME/mxnet/"
-echo "MXNet root folder: $MXNET_HOME"
-
-echo "Installing build-essential, libatlas-base-dev, libopencv-dev, pip, graphviz ..."
-sudo apt-get update
-sudo apt-get install -y build-essential libatlas-base-dev libopencv-dev graphviz
-
-echo "Building MXNet core. This can take few minutes..."
-cd "$MXNET_HOME"
-make -j$(nproc)
-
-echo "Installing Numpy..."
-sudo apt-get install python-numpy
-
-echo "Installing Python setuptools pip..."
-sudo apt-get install -y python-setuptools python-pip
-
-echo "Updating pip..."
-sudo pip install -U pip
-
-echo "Installing Python package for MXNet..."
-cd python; sudo python setup.py install
-
-echo "Adding MXNet path to your ~/.bashrc file"
-echo "export PYTHONPATH=$MXNET_HOME/python:$PYTHONPATH" >> ~/.bashrc
-source ~/.bashrc
-
-echo "Install Graphviz for plotting MXNet network graph..."
-sudo pip install graphviz
-
-echo "Installing Jupyter notebook..."
-sudo pip install jupyter
-
-echo "Done! MXNet for Python installation is complete. Go ahead and explore MXNet with Python :-)"
diff --git a/setup-utils/install-mxnet-ubuntu-r.sh b/setup-utils/install-mxnet-ubuntu-r.sh
deleted file mode 100644
index a07d9d8ef10e..000000000000
--- a/setup-utils/install-mxnet-ubuntu-r.sh
+++ /dev/null
@@ -1,67 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-######################################################################
-# This script installs MXNet for R along with all required dependencies on a Ubuntu Machine.
-# Tested on Ubuntu 14.04+ distro.
-######################################################################
-set -e
-
-MXNET_HOME="$HOME/mxnet/"
-echo "MXNet root folder: $MXNET_HOME"
-
-echo "Building MXNet core. This can take few minutes..."
-cd "$MXNET_HOME"
-make -j$(nproc)
-
-echo "Installing R dependencies. This can take few minutes..."
-
-# make sure we have essential tools installed
-is_rscript_installed=$(which Rscript | wc -l)
-if [ "$is_rscript_installed" = "0" ]; then
-	read -p "Seems like Rscript is not installed. Install Rscript? [Y/n]"
-	if [ x"$REPLY" = x"" -o x"$REPLY" = x"y" -o x"$REPLY" = x"Y" ]; then
-		sudo add-apt-repository -y "deb http://cran.rstudio.com/bin/linux/ubuntu `lsb_release -cs`/"
-		sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E084DAB9
-		sudo apt-get -qq update
-		sudo apt-get install -y r-base-core
-	fi
-fi
-
-# libcurl4-openssl-dev and libssl-dev are needed for devtools.
-sudo apt-get -y install libcurl4-openssl-dev libssl-dev
-
-# Needed for R XML
-sudo apt-get install libxml2-dev
-
-# Needed for R Cairo
-sudo apt-get install libxt-dev
-
-sudo Rscript -e "install.packages('devtools', repo = 'https://cran.rstudio.com')"
-cd R-package
-sudo Rscript -e "library(devtools); library(methods); options(repos=c(CRAN='https://cran.rstudio.com')); install_deps(dependencies = TRUE)"
-cd ..
-
-echo "Compiling R package. This can take few minutes..."
-sudo make -f R-package/Makefile rpkg
-
-echo "Installing R package..."
-sudo R CMD INSTALL mxnet_current_r.tar.gz
-
-echo "Done! MXNet for R installation is complete. Go ahead and explore MXNet with R :-)"
diff --git a/setup-utils/install-mxnet-virtualenv.sh b/setup-utils/install-mxnet-virtualenv.sh
deleted file mode 100755
index 5e00f79647ea..000000000000
--- a/setup-utils/install-mxnet-virtualenv.sh
+++ /dev/null
@@ -1,123 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-######################################################################
-# This script installs MXNet for Python in a virtualenv on OSX and ubuntu
-######################################################################
-set -e
-#set -x
-
-BUILDIR=build
-VENV=mxnet_py3
-
-setup_virtualenv() {
-    if [ ! -d $VENV ];then
-        virtualenv -p `which python3` $VENV
-    fi
-    source $VENV/bin/activate
-}
-
-gpu_count() {
-    nvidia-smi -L | wc -l
-}
-
-detect_platform() {
-	unameOut="$(uname -s)"
-	case "${unameOut}" in
-		Linux*)
-			distro=$(awk -F= '/^NAME/{gsub(/"/, "", $2); print $2}' /etc/os-release)
-			machine="Linux/$distro"
-		;;
-		Darwin*)    machine=Mac;;
-		CYGWIN*)    machine=Cygwin;;
-		MINGW*)     machine=MinGw;;
-		*)          machine="UNKNOWN:${unameOut}"
-	esac
-	echo ${machine}
-}
-
-
-if [ $(gpu_count) -ge 1 ];then
-    USE_CUDA=ON
-else
-    USE_CUDA=OFF
-fi
-
-PLATFORM=$(detect_platform)
-echo "Detected platform '$PLATFORM'"
-
-if [ $PLATFORM = "Mac" ];then
-    USE_OPENMP=OFF
-else
-    USE_OPENMP=ON
-fi
-
-if [ $PLATFORM = "Linux/Ubuntu" ];then
-    install_dependencies_ubuntu() {
-        sudo apt-get update
-        sudo apt-get install -y build-essential libatlas-base-dev libopencv-dev graphviz virtualenv cmake\
-            ninja-build libopenblas-dev liblapack-dev python3 python3-dev
-    }
-    echo "Installing build dependencies in Ubuntu!"
-    install_dependencies_ubuntu
-fi
-
-echo "Preparing a Python virtualenv in ${VENV}"
-setup_virtualenv
-
-echo "Building MXNet core. This can take a few minutes..."
-build_mxnet() {
-    pushd .
-    set -x
-    mkdir -p $BUILDIR && cd $BUILDIR
-    cmake -DUSE_CUDA=$USE_CUDA -DUSE_OPENCV=ON -DUSE_OPENMP=$USE_OPENMP -DUSE_SIGNAL_HANDLER=ON -DCMAKE_BUILD_TYPE=Release -GNinja ..  
-    ninja
-    set +x
-    popd
-}
-
-
-build_mxnet
-
-echo "Installing mxnet under virtualenv ${VENV}"
-install_mxnet() {
-    pushd .
-    cd python
-    pip3 install -e .
-    pip3 install opencv-python matplotlib graphviz jupyter ipython
-    popd
-}
-
-install_mxnet
-
-echo "
-
-========================================================================================
-Done! MXNet for Python installation is complete. Go ahead and explore MXNet with Python.
-========================================================================================
-
-Use the following command to enter the virtualenv:
-$ source ${VENV}/bin/activate
-$ iptyhon
-
-You can then start using mxnet
-
-import mxnet as mx
-x = mx.nd.ones((5,5))
-"
diff --git a/setup-utils/install-mxnet-windows-python.bat b/setup-utils/install-mxnet-windows-python.bat
deleted file mode 100644
index 021baaeff331..000000000000
--- a/setup-utils/install-mxnet-windows-python.bat
+++ /dev/null
@@ -1,295 +0,0 @@
-rem Licensed to the Apache Software Foundation (ASF) under one
-rem or more contributor license agreements.  See the NOTICE file
-rem distributed with this work for additional information
-rem regarding copyright ownership.  The ASF licenses this file
-rem to you under the Apache License, Version 2.0 (the
-rem "License"); you may not use this file except in compliance
-rem with the License.  You may obtain a copy of the License at
-rem
-rem   http://www.apache.org/licenses/LICENSE-2.0
-rem
-rem Unless required by applicable law or agreed to in writing,
-rem software distributed under the License is distributed on an
-rem "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-rem KIND, either express or implied.  See the License for the
-rem specific language governing permissions and limitations
-rem under the License.
-
-@echo off
-setlocal
-::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
-:::: This script setup directories, dependencies for MXNET ::::
-::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
-
-
-:::: Customizable variables ::::
-
-
-:: conda environment name for MXNET, default to MXNET-vcversion
-REM  set MXNET_CONDA_ENV=mxnet
-
-:: which to find MKL, default to openblas installed by conda
-:: mkl: download from https://software.intel.com/intel-mkl, install and set following two variables
-REM  set INTEL_MKL_DIR=D:\\Intel\\SWTools\\compilers_and_libraries\\windows\\mkl\\
-
-:: where to find cudnn library
-REM  set CUDNN_ROOT=D:\NVIDIA\CUDNN\v5.1\
-
-::::  End of customization  ::::
-
-
-set ECHO_PREFIX=+++++++
-
-set MXNET_SETUP_HAS_CUDA=0
-set MXNET_SETUP_HAS_CUDNN=0
-:::: validate msvc version  ::::
-
-if "%VisualStudioVersion%" == "" (
-  if not "%VS140COMNTOOLS%" == "" ( call "%VS140COMNTOOLS%..\..\VC\vcvarsall.bat" x64 && goto :VS_SETUP)
-REM  Not Supported yet due to dependencies
-REM  if not "%VS120COMNTOOLS%" == "" ( call "%VS120COMNTOOLS%..\..\VC\vcvarsall.bat" x64 && goto :VS_SETUP)
-REM  if not "%VS110COMNTOOLS%" == "" ( call "%VS110COMNTOOLS%..\..\VC\vcvarsall.bat" x64 && goto :VS_SETUP)
-REM  if not "%VS100COMNTOOLS%" == "" ( call "%VS100COMNTOOLS%..\..\VC\vcvarsall.bat" x64 && goto :VS_SETUP)
-REM  if not "%VS90COMNTOOLS%"  == "" ( call "%VS90COMNTOOLS%..\..\VC\vcvarsall.bat"  x64 && goto :VS_SETUP)
-)
-:VS_SETUP
-
-if "%VisualStudioVersion%" == "" (
-  echo %ECHO_PREFIX% Can not find environment variable VisualStudioVersion, msvc is not setup porperly
-  echo %ECHO_PREFIX% Please Install Visual Studio from:
-  echo %ECHO_PREFIX% https://go.microsoft.com/fwlink/?LinkId=691978&clcid=0x409
-  goto :FAIL
-)
-
-set MXNET_VS_VERSION=%VisualStudioVersion:.0=%
-
-if "%PreferredToolArchitecture%" == "x64" (
-  if "%CommandPromptType%" == "Cross" (
-    if "%Platform%" == "ARM" set MXNET_VS_PLATFORM=amd64_arm
-    if "%Platform%" == "X86" set MXNET_VS_PLATFORM=amd64_x86
-  )
-) else (
-  if "%CommandPromptType%" == "Cross" (
-    if "%Platform%" == "ARM" set MXNET_VS_PLATFORM=x86_arm
-    if "%Platform%" == "x64" set MXNET_VS_PLATFORM=x86_amd64
-  )
-  if "%CommandPromptType%" == "Native" (
-    if "%Platform%" == "X64" set MXNET_VS_PLATFORM=x64
-  )
-  if "%Platform%"   == ""    set MXNET_VS_PLATFORM=x86
-)
-
-if     "%MXNET_VS_PLATFORM%" == "x86"                       set MXNET_VS_TARGET=x86
-if not "%MXNET_VS_PLATFORM%" == "%MXNET_VS_PLATFORM:_x86=%" set MXNET_VS_TARGET=x86
-if not "%MXNET_VS_PLATFORM%" == "%MXNET_VS_PLATFORM:_arm=%" set MXNET_VS_TARGET=arm
-if     "%MXNET_VS_TARGET%"   == ""                          set MXNET_VS_TARGET=x64
-
-::::    Setup directories   ::::
-
-set MXNET_DISTRO=%~dp0.
-set MXNET_DISTRO=%MXNET_DISTRO%\..
-if "%MXNET_INSTALL_DIR%" == "" set MXNET_INSTALL_DIR=%MXNET_DISTRO%\build
-
-echo %ECHO_PREFIX% MXNET will be installed under %MXNET_INSTALL_DIR%, vs%MXNET_VS_VERSION% %MXNET_VS_PLATFORM%
-
-::::   Setup dependencies   ::::
-
-:: has blas/lapack?
-if exist %INTEL_MKL_DIR% set MXNET_BLAS=MKL
-if "%MXNET_BLAS%" == "" set MXNET_BLAS=Open
-
-:: has cuda?
-for /f "delims=" %%i in ('where nvcc') do (
-  set NVCC_CMD=%%i
-  goto :AFTER_NVCC
-)
-:AFTER_NVCC
-if not "%NVCC_CMD%" == "" set MXNET_SETUP_HAS_CUDA=1
-
-:: has cudnn
-if exist %CUDNN_ROOT% set MXNET_SETUP_HAS_CUDNN=1
-
-:: has conda?
-for /f "delims=" %%i in ('where conda') do (
-  set CONDA_CMD=%%i
-  goto :AFTER_CONDA
-)
-:AFTER_CONDA
-
-if "%CONDA_CMD%" == "" (
-  echo %ECHO_PREFIX% Can not find conda, some dependencies can not be resolved
-  echo %ECHO_PREFIX% Please install Miniconda with Python 3.5 from here:
-  echo %ECHO_PREFIX% http://conda.pydata.org/miniconda.html
-
-  goto :FAIL
-)
-
-set MXNET_CONDA_INFO=%TEMP%\check_conda_info_for_MXNET.txt
-conda info > %MXNET_CONDA_INFO%
-if "%MXNET_VS_TARGET%" == "x64" set MXNET_CONDA_PLATFORM=win-64
-if "%MXNET_VS_TARGET%" == "arm" set MXNET_CONDA_PLATFORM=win-64
-if "%MXNET_VS_TARGET%" == "x86" set MXNET_CONDA_PLATFORM=win-32
-
-findstr "%MXNET_CONDA_PLATFORM%" "%MXNET_CONDA_INFO%" >nul
-if errorlevel 1 (
-  echo %ECHO_PREFIX% %MXNET_VS_TARGET% MXNET requires %MXNET_CONDA_PLATFORM% conda, installation will continue without conda
-  goto :NO_CONDA
-)
-
-if %MXNET_VS_VERSION% GEQ 14 ( set CONDA_VS_VERSION=14&& goto :CONDA_SETUP )
-if %MXNET_VS_VERSION% GEQ 10 ( set CONDA_VS_VERSION=10&& goto :CONDA_SETUP )
-set CONDA_VS_VERSION=9
-
-:CONDA_SETUP
-
-if "%MXNET_CONDA_ENV%" == "" set MXNET_CONDA_ENV=mxnet-vc%CONDA_VS_VERSION%
-
-echo %ECHO_PREFIX% Createing conda environment '%MXNET_CONDA_ENV%' for MXNET dependencies
-conda create -n %MXNET_CONDA_ENV% -c conda-forge vc=%CONDA_VS_VERSION% --yes
-
-set CONDA_DIR=%CONDA_CMD:\Scripts\conda.exe=%
-set MXNET_CONDA_LIBRARY=%CONDA_DIR%\envs\%MXNET_CONDA_ENV%\Library
-set MXNET_CONDA_LIBRARY=%MXNET_CONDA_LIBRARY:\=\\%
-set PATH=%MXNET_CONDA_LIBRARY:\\=\%\bin;%PATH%;
-set NEW_PATH=%CONDA_DIR%\Scripts;%MXNET_CONDA_LIBRARY%\bin;%NEW_PATH%
-
-set MXNET_CONDA_PKGS=%TEMP%\check_conda_packages_for_MXNET.txt
-conda list -n %MXNET_CONDA_ENV% > %MXNET_CONDA_PKGS%
-
-:: has cmake?
-for /f "delims=" %%i in ('where cmake') do (
-  set CMAKE_CMD=%%i
-  goto :AFTER_CMAKE
-)
-if "%CMAKE_CMD%" == "" (
-  echo %ECHO_PREFIX% Installing cmake by conda
-  conda install -n %MXNET_CONDA_ENV% -c conda-forge cmake --yes
-)
-:AFTER_CMAKE
-
-:: has patch?
-for /f "delims=" %%i in ('where patch') do (
-  set PATCH_CMD=%%i
-  goto :AFTER_PATCH
-)
-if "%PATCH_CMD%" == "" (
-  echo %ECHO_PREFIX% Installing patch by conda
-  conda install -n %MXNET_CONDA_ENV% patch --yes
-)
-:AFTER_PATCH
-
-:: need openblas?
-if "%MXNET_BLAS%" == "Open" goto :CONDA_INSTALL_OPENBLAS
-goto :AFTER_OPENBLAS
-
-:CONDA_INSTALL_OPENBLAS
-findstr "openblas" "%MXNET_CONDA_PKGS%" >nul
-if errorlevel 1 (
-  echo %ECHO_PREFIX% Installing openblas by conda
-  if "%MXNET_VS_TARGET%" == "x64" conda install -n %MXNET_CONDA_ENV% -c ukoethe openblas --yes || goto :Fail
-  CALL :PATCH_OPENBLAS
-)
-
-if "%MXNET_VS_TARGET%" == "x64" (
-  if "%OpenBLAS_INCLUDE_DIR%" == "" set OpenBLAS_INCLUDE_DIR=%MXNET_CONDA_LIBRARY%\\include\\
-  if "%OpenBLAS_LIB%" == "" set OpenBLAS_LIB=%MXNET_CONDA_LIBRARY%\\lib\\libopenblas.lib
-)
-:AFTER_OPENBLAS
-
-if "%MXNET_BLAS%" == "MKL" goto:CONDA_INSTALL_MKL
-goto :AFTER_MKL
-
-:CONDA_INSTALL_MKL
-if "%MKL_INCLUDE_DIR%" == "" set MKL_INCLUDE_DIR=%INTEL_MKL_DIR%\\include\\
-if "%MKL_LIB%" == "" set MKL_LIB=%INTEL_MKL_DIR%\\lib\\
-:AFTER_MKL
-
-:: other dependencies
-findstr "opencv" "%MXNET_CONDA_PKGS%" >nul
-if errorlevel 1 set MXNET_DEPENDENCIES=%MXNET_DEPENDENCIES% opencv
-findstr "numpy" "%MXNET_CONDA_PKGS%" >nul
-if errorlevel 1 set MXNET_DEPENDENCIES=%MXNET_DEPENDENCIES% numpy
-findstr "cython" "%MXNET_CONDA_PKGS%" >nul
-if errorlevel 1 set MXNET_DEPENDENCIES=%MXNET_DEPENDENCIES% cython
-findstr "numpy" "%MXNET_CONDA_PKGS%" >nul
-if errorlevel 1 set MXNET_DEPENDENCIES=%MXNET_DEPENDENCIES% numpy
-
-if not "%MXNET_DEPENDENCIES%" == "" (
-  echo %ECHO_PREFIX% Installing %MXNET_DEPENDENCIES% by conda for MXNET
-  conda install -n %MXNET_CONDA_ENV% -c conda-forge %MXNET_DEPENDENCIES% --yes
-)
-
-:: make symbolic link to workaround opencv cmakefile bug
-echo %ECHO_PREFIX% Install symblic link for opencv
-mkdir %CONDA_DIR%\envs\x64\vc14\
-mklink /D %CONDA_DIR%\envs\x64\vc14\lib %MXNET_CONDA_LIBRARY:\\=\%\lib
-mklink /D %CONDA_DIR%\envs\x64\vc14\bin %MXNET_CONDA_LIBRARY:\\=\%\bin
-
-:NO_CONDA
-if exist "%MXNET_CONDA_INFO%" del /q %MXNET_CONDA_INFO%
-if exist "%MXNET_CONDA_PKGS%" del /q %MXNET_CONDA_PKGS%
-
-::::   download graphviz   ::::
-
-REM echo %ECHO_PREFIX% Downloading graphviz for graph package
-REM cd %MXNET_DISTRO%\build
-REM wget -nc https://github.com/mahkoCosmo/GraphViz_x64/raw/master/graphviz-2.38_x64.tar.gz --no-check-certificate -O graphviz-2.38_x64.tar.gz
-REM 7z x graphviz-2.38_x64.tar.gz -y && 7z x graphviz-2.38_x64.tar -ographviz-2.38_x64 -y >NUL
-REM if not exist %MXNET_INSTALL_BIN%\graphviz md %MXNET_INSTALL_BIN%\graphviz
-REM copy /y %MXNET_DISTRO%\build\graphviz-2.38_x64\bin\ %MXNET_INSTALL_BIN%\graphviz\
-
-REM set NEW_PATH=%NEW_PATH%;%MXNET_INSTALL_BIN%\graphviz
-
-echo %ECHO_PREFIX% Build libmxnet.dll
-cd /D %MXNET_DISTRO%
-
-SET CMAKE_OPT=%CMAKE_OPT% -DUSE_CUDA=%MXNET_SETUP_HAS_CUDA%
-SET CMAKE_OPT=%CMAKE_OPT% -DUSE_CUDNN=%MXNET_SETUP_HAS_CUDNN%
-if %MXNET_SETUP_HAS_CUDNN%=="1" SET CMAKE_OPT=%CMAKE_OPT% -DCUDNN_ROOT="%CUDNN_ROOT%"
-SET CMAKE_OPT=%CMAKE_OPT% -DBLAS="%MXNET_BLAS%"
-if "%MXNET_BLAS%"=="Open" SET CMAKE_OPT=%CMAKE_OPT% -DOpenBLAS_HOME="%MXNET_CONDA_LIBRARY%" -DOpenBLAS_INCLUDE_DIR="%OpenBLAS_INCLUDE_DIR%" -DOpenBLAS_LIB="%OpenBLAS_LIB%"
-if "%MXNET_BLAS%"=="MKL" SET CMAKE_OPT=%CMAKE_OPT% -DMKL_HOME="%INTEL_MKL_DIR%" -DMKL_INCLUDE_DIR="%MKL_INCLUDE_DIR%" -DMKL_LIB="%MKL_LIB%"
-
-SET CMAKE_OPT=%CMAKE_OPT% -DOpenCV_LIB_PATH="%MXNET_CONDA_LIBRARY%\\lib\\" -DOpenCV_INCLUDE_DIRS="%MXNET_CONDA_LIBRARY%\\include\\" -DOpenCV_CONFIG_PATH="%MXNET_CONDA_LIBRARY%"
-
-cmake -Wno-dev %CMAKE_OPT% -DCMAKE_PREFIX_PATH="%MXNET_CONDA_LIBRARY%" -G "Visual Studio 14 2015 Win64" -DUSE_PROFILER=1 -DCMAKE_BUILD_TYPE=Release -H. -Bbuild
-if errorlevel 1 goto :FAIL
-msbuild build\mxnet.sln /t:Build /p:Configuration=Release;Platform=x64 /m
-if errorlevel 1 goto :FAIL
-
-echo %ECHO_PREFIX% Install libmxnet.dll
-cd /D %MXNET_DISTRO%\python
-python setup.py install
-if errorlevel 1 goto :FAIL
-
-set NEW_PATH=%NEW_PATH:\\=\%
-echo %ECHO_PREFIX% Setup succeed!
-echo %ECHO_PREFIX% Add the following path to your system path or Run env.cmd per cmd window
-echo %NEW_PATH%
-echo @SET PATH=%%PATH%%;%NEW_PATH%>%MXNET_DISTRO%\env.cmd
-goto :END
-
-:PATCH_OPENBLAS
-echo %ECHO_PREFIX% Apply patch to fix openblas 2.15
-
-echo --- openblas_config.h   2016-12-20 11:09:11.722445000 +0800>%TEMP%\openblas.diff
-echo +++ openblas_config.h   2016-12-20 11:01:21.347244600 +0800>>%TEMP%\openblas.diff
-echo @@ -109,7 +109,7 @@>>%TEMP%\openblas.diff
-echo     structure as fallback (see Clause 6.2.5.13 of the C99 standard). */>>%TEMP%\openblas.diff
-echo  #if (defined(__STDC_IEC_559_COMPLEX__) ^|^| __STDC_VERSION__ ^>= 199901L ^|^| \>>%TEMP%\openblas.diff
-echo       (__GNUC__ ^>= 3 ^&^& !defined(__cplusplus)) ^|^| \>>%TEMP%\openblas.diff
-echo -     _MSC_VER ^>= 1800) // Visual Studio 2013 supports complex>>%TEMP%\openblas.diff
-echo +     (_MSC_VER ^>= 1800 ^&^& !defined(__cplusplus))) // Visual Studio 2013 supports complex>>%TEMP%\openblas.diff
-echo    #define OPENBLAS_COMPLEX_C99>>%TEMP%\openblas.diff
-echo  #ifndef __cplusplus>>%TEMP%\openblas.diff
-echo    #include ^<complex.h^>>>%TEMP%\openblas.diff
-cd /D %MXNET_CONDA_LIBRARY:\\=\%\include
-patch -p0 -i %TEMP%\openblas.diff
-DEL %TEMP%\openblas.diff
-GOTO :eof
-
-:FAIL
-echo %ECHO_PREFIX% Setup fail!
-
-:END
-
diff --git a/src/api/operator/numpy/linalg/np_norm.cc b/src/api/operator/numpy/linalg/np_norm.cc
index 708b08d9e6bd..1928321ad206 100644
--- a/src/api/operator/numpy/linalg/np_norm.cc
+++ b/src/api/operator/numpy/linalg/np_norm.cc
@@ -44,7 +44,7 @@ MXNET_REGISTER_API("_npi.norm")
   param.flag = args[4].operator int();
 
   attrs.op = op;
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   SetAttrDict<op::NumpyNormParam>(&attrs);
 
   // inputs
diff --git a/src/api/operator/numpy/np_broadcast_reduce_op_boolean.cc b/src/api/operator/numpy/np_broadcast_reduce_op_boolean.cc
index dea510a41608..c3e186195dca 100644
--- a/src/api/operator/numpy/np_broadcast_reduce_op_boolean.cc
+++ b/src/api/operator/numpy/np_broadcast_reduce_op_boolean.cc
@@ -48,7 +48,7 @@ MXNET_REGISTER_API("_npi.all")
   param.keepdims = args[2].operator bool();
   NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
   int num_inputs = 1;
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyReduceAxesBoolParam>(&attrs);
   auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs, &num_outputs, outputs);
@@ -79,7 +79,7 @@ MXNET_REGISTER_API("_npi.any")
   param.keepdims = args[2].operator bool();
   NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
   int num_inputs = 1;
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyReduceAxesBoolParam>(&attrs);
   auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs, &num_outputs, outputs);
diff --git a/src/api/operator/numpy/np_broadcast_reduce_op_index.cc b/src/api/operator/numpy/np_broadcast_reduce_op_index.cc
index aa24246f693d..83e16999417b 100644
--- a/src/api/operator/numpy/np_broadcast_reduce_op_index.cc
+++ b/src/api/operator/numpy/np_broadcast_reduce_op_index.cc
@@ -44,7 +44,7 @@ MXNET_REGISTER_API("_npi.argmax")
   // param.keepdims
   param.keepdims = args[2].operator bool();
 
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::ReduceAxisParam>(&attrs);
   // inputs
@@ -77,7 +77,7 @@ MXNET_REGISTER_API("_npi.argmin")
   // param.keepdims
   param.keepdims = args[2].operator bool();
 
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::ReduceAxisParam>(&attrs);
   // inputs
diff --git a/src/api/operator/numpy/np_broadcast_reduce_op_value.cc b/src/api/operator/numpy/np_broadcast_reduce_op_value.cc
index a3a45d2d3777..0fe7fc441209 100644
--- a/src/api/operator/numpy/np_broadcast_reduce_op_value.cc
+++ b/src/api/operator/numpy/np_broadcast_reduce_op_value.cc
@@ -40,7 +40,7 @@ MXNET_REGISTER_API("_npi.broadcast_to")
   } else {
     param.shape = TShape(args[1].operator ObjectRef());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::BroadcastToParam>(&attrs);
 
@@ -91,7 +91,7 @@ MXNET_REGISTER_API("_npi.sum")
     param.initial = args[4].operator double();
   }
 
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
 
   SetAttrDict<op::NumpyReduceAxesParam>(&attrs);
 
@@ -133,7 +133,7 @@ MXNET_REGISTER_API("_npi.mean")
     param.keepdims = args[3].operator bool();
   }
   param.initial = dmlc::optional<double>();
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyReduceAxesParam>(&attrs);
   int num_inputs = 1;
@@ -177,7 +177,7 @@ MXNET_REGISTER_API("_npi.prod")
   } else {
     param.initial = args[4].operator double();
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyReduceAxesParam>(&attrs);
   int num_inputs = 1;
@@ -213,7 +213,7 @@ MXNET_REGISTER_API("_npi.max")
   param.keepdims = args[2].operator bool();
   NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
   int num_inputs = 1;
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyReduceAxesNoDTypeParam>(&attrs);
   auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs, &num_outputs, outputs);
@@ -244,7 +244,7 @@ MXNET_REGISTER_API("_npi.min")
   param.keepdims = args[2].operator bool();
   NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
   int num_inputs = 1;
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyReduceAxesNoDTypeParam>(&attrs);
   auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs, &num_outputs, outputs);
@@ -275,7 +275,7 @@ MXNET_REGISTER_API("_npi.amax")
   param.keepdims = args[2].operator bool();
   NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
   int num_inputs = 1;
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyReduceAxesNoDTypeParam>(&attrs);
   auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs, &num_outputs, outputs);
@@ -306,7 +306,7 @@ MXNET_REGISTER_API("_npi.amin")
   param.keepdims = args[2].operator bool();
   NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
   int num_inputs = 1;
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyReduceAxesNoDTypeParam>(&attrs);
   auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs, &num_outputs, outputs);
diff --git a/src/api/operator/numpy/np_cumsum.cc b/src/api/operator/numpy/np_cumsum.cc
index d0b200c66fd4..a0f68cca1b6b 100644
--- a/src/api/operator/numpy/np_cumsum.cc
+++ b/src/api/operator/numpy/np_cumsum.cc
@@ -46,7 +46,7 @@ MXNET_REGISTER_API("_npi.cumsum")
   } else {
     param.dtype = String2MXNetTypeWithBool(args[2].operator std::string());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::CumsumParam>(&attrs);
   // inputs
diff --git a/src/api/operator/numpy/np_delete_op.cc b/src/api/operator/numpy/np_delete_op.cc
index 925c8b568e28..f374b2318c9c 100644
--- a/src/api/operator/numpy/np_delete_op.cc
+++ b/src/api/operator/numpy/np_delete_op.cc
@@ -90,7 +90,7 @@ MXNET_REGISTER_API("_npi.delete")
   for (int i = 0; i < num_inputs; ++i) {
     inputs.push_back(args[i].operator mxnet::NDArray*());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyDeleteParam>(&attrs);
   int num_outputs = 0;
diff --git a/src/api/operator/numpy/np_ediff1d_op.cc b/src/api/operator/numpy/np_ediff1d_op.cc
index df97fd8b68b9..64e15064889a 100644
--- a/src/api/operator/numpy/np_ediff1d_op.cc
+++ b/src/api/operator/numpy/np_ediff1d_op.cc
@@ -63,7 +63,7 @@ MXNET_REGISTER_API("_npi.ediff1d")
     num_inputs++;
   }
 
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::EDiff1DParam>(&attrs);
 
diff --git a/src/api/operator/numpy/np_einsum_op.cc b/src/api/operator/numpy/np_einsum_op.cc
index a5b8339a619e..900739ac10ab 100644
--- a/src/api/operator/numpy/np_einsum_op.cc
+++ b/src/api/operator/numpy/np_einsum_op.cc
@@ -43,7 +43,7 @@ MXNET_REGISTER_API("_npi.einsum")
   // param.optimize
   param.optimize = args[args_size - 1].operator int();
 
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyEinsumParam>(&attrs);
 
diff --git a/src/api/operator/numpy/np_elemwise_unary_op_basic.cc b/src/api/operator/numpy/np_elemwise_unary_op_basic.cc
index 720ab371fae4..9840fc4bd313 100644
--- a/src/api/operator/numpy/np_elemwise_unary_op_basic.cc
+++ b/src/api/operator/numpy/np_elemwise_unary_op_basic.cc
@@ -98,7 +98,7 @@ MXNET_REGISTER_API("_npi.around")
   nnvm::NodeAttrs attrs;
   op::AroundParam param;
   param.decimals = args[1].operator int64_t();
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::AroundParam>(&attrs);
   int num_inputs = 1;
diff --git a/src/api/operator/numpy/np_fill_diagonal_op.cc b/src/api/operator/numpy/np_fill_diagonal_op.cc
index 6f8959e9ff61..f087e7d2e608 100644
--- a/src/api/operator/numpy/np_fill_diagonal_op.cc
+++ b/src/api/operator/numpy/np_fill_diagonal_op.cc
@@ -44,7 +44,7 @@ MXNET_REGISTER_API("_npi.fill_diagonal")
   }
   param.wrap = args[2].operator bool();
 
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyFillDiagonalParam>(&attrs);
 
diff --git a/src/api/operator/numpy/np_histogram_op.cc b/src/api/operator/numpy/np_histogram_op.cc
index b517cce80803..fa911268e39b 100644
--- a/src/api/operator/numpy/np_histogram_op.cc
+++ b/src/api/operator/numpy/np_histogram_op.cc
@@ -49,7 +49,7 @@ MXNET_REGISTER_API("_npi.histogram")
     param.range = Obj2Tuple<double, Float>(args[3].operator ObjectRef());
   }
 
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::HistogramParam>(&attrs);
 
diff --git a/src/api/operator/numpy/np_init_op.cc b/src/api/operator/numpy/np_init_op.cc
index 155035505d0f..b9ab8973d08e 100644
--- a/src/api/operator/numpy/np_init_op.cc
+++ b/src/api/operator/numpy/np_init_op.cc
@@ -47,7 +47,7 @@ MXNET_REGISTER_API("_npi.zeros")
   } else {
     param.dtype = String2MXNetTypeWithBool(args[1].operator std::string());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::InitOpParam>(&attrs);
   if (args[2].type_code() != kNull) {
@@ -70,7 +70,7 @@ MXNET_REGISTER_API("_npi.full_like")
   } else {
     param.dtype = String2MXNetTypeWithBool(args[2].operator std::string());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   if (args[3].type_code() != kNull) {
     attrs.dict["ctx"] = args[3].operator std::string();
@@ -107,7 +107,7 @@ MXNET_REGISTER_API("_npi.indices")
   } else {
     param.dtype = String2MXNetTypeWithBool(args[1].operator std::string());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::IndicesOpParam>(&attrs);
   // param.ctx
@@ -223,7 +223,7 @@ MXNET_REGISTER_API("_npi.arange")
   } else {
     param.dtype = String2MXNetTypeWithBool(args[3].operator std::string());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::RangeParam>(&attrs);
   if (args[4].type_code() != kNull) {
@@ -252,7 +252,7 @@ MXNET_REGISTER_API("_npi.eye")
   } else {
     param.dtype = String2MXNetTypeWithBool(args[4].operator std::string());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyEyeParam>(&attrs);
   if (args[3].type_code() != kNull) {
@@ -282,7 +282,7 @@ MXNET_REGISTER_API("_npi.linspace")
   } else {
     param.dtype = String2MXNetTypeWithBool(args[5].operator std::string());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::LinspaceParam>(&attrs);
   if (args[4].type_code() != kNull) {
@@ -317,7 +317,7 @@ MXNET_REGISTER_API("_npi.logspace")
   } else {
     param.dtype = String2MXNetTypeWithBool(args[6].operator std::string());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::LogspaceParam>(&attrs);
   if (args[5].type_code() != kNull) {
@@ -344,7 +344,7 @@ MXNET_REGISTER_API("_npi.ones")
   } else {
     param.dtype = String2MXNetTypeWithBool(args[1].operator std::string());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   if (args[2].type_code() != kNull) {
     attrs.dict["ctx"] = args[2].operator std::string();
@@ -372,7 +372,7 @@ MXNET_REGISTER_API("_npi.full")
     param.dtype = String2MXNetTypeWithBool(args[1].operator std::string());
   }
   param.value = args[2].operator double();
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   if (args[3].type_code() != kNull) {
     attrs.dict["ctx"] = args[3].operator std::string();
@@ -401,7 +401,7 @@ MXNET_REGISTER_API("_npi.identity")
   } else {
     param.dtype = String2MXNetTypeWithBool(args[1].operator std::string());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   if (args[2].type_code() != kNull) {
     attrs.dict["ctx"] = args[2].operator std::string();
diff --git a/src/api/operator/numpy/np_insert_op.cc b/src/api/operator/numpy/np_insert_op.cc
index 0de645e91913..7b2aeaa234f0 100644
--- a/src/api/operator/numpy/np_insert_op.cc
+++ b/src/api/operator/numpy/np_insert_op.cc
@@ -57,7 +57,7 @@ MXNET_REGISTER_API("_npi.insert_scalar")
   } else {
     param.axis = args[3].operator int();
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyInsertParam>(&attrs);
   std::vector<NDArray*> inputs;
@@ -105,7 +105,7 @@ MXNET_REGISTER_API("_npi.insert_slice")
   } else {
     param.axis = args[5].operator int();
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyInsertParam>(&attrs);
   std::vector<NDArray*> inputs;
@@ -141,7 +141,7 @@ MXNET_REGISTER_API("_npi.insert_tensor")
   } else {
     param.axis = args[3].operator int();
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyInsertParam>(&attrs);
   std::vector<NDArray*> inputs;
diff --git a/src/api/operator/numpy/np_interp_op.cc b/src/api/operator/numpy/np_interp_op.cc
index 7959383c9230..0b89373b1a88 100644
--- a/src/api/operator/numpy/np_interp_op.cc
+++ b/src/api/operator/numpy/np_interp_op.cc
@@ -53,7 +53,7 @@ MXNET_REGISTER_API("_npi.interp")
     param.x_scalar = args[2].operator double();
     param.x_is_scalar = true;
     attrs.op = op;
-    attrs.parsed = std::move(param);
+    attrs.parsed = param;
     SetAttrDict<op::NumpyInterpParam>(&attrs);
     NDArray* inputs[] = {args[0].operator mxnet::NDArray*(), args[1].operator mxnet::NDArray*()};
     int num_inputs = 2;
@@ -64,7 +64,7 @@ MXNET_REGISTER_API("_npi.interp")
     param.x_scalar = 0.0;
     param.x_is_scalar = false;
     attrs.op = op;
-    attrs.parsed = std::move(param);
+    attrs.parsed = param;
     SetAttrDict<op::NumpyInterpParam>(&attrs);
     NDArray* inputs[] = {args[0].operator mxnet::NDArray*(), args[1].operator mxnet::NDArray*(),
                          args[2].operator mxnet::NDArray*()};
diff --git a/src/api/operator/numpy/np_matrix_op.cc b/src/api/operator/numpy/np_matrix_op.cc
index 45146ae0ab66..7b53c580683a 100644
--- a/src/api/operator/numpy/np_matrix_op.cc
+++ b/src/api/operator/numpy/np_matrix_op.cc
@@ -44,7 +44,7 @@ MXNET_REGISTER_API("_npi.transpose")
   } else {
     param.axes = TShape(args[1].operator ObjectRef());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyTransposeParam>(&attrs);
   NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
@@ -92,7 +92,7 @@ MXNET_REGISTER_API("_npi.stack")
 
   param.num_args = i;
   param.axis = args[i].operator int64_t();
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::StackParam>(&attrs);
   NDArray* out = args[i+1].operator mxnet::NDArray*();
@@ -126,7 +126,7 @@ MXNET_REGISTER_API("_npi.flip")
   }
   NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
   int num_inputs = 1;
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::FlipParam>(&attrs);
   auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs, &num_outputs, outputs);
@@ -150,7 +150,7 @@ MXNET_REGISTER_API("_npi.concatenate")
   } else {
     param.axis = args[arg_size - 2].operator int();
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyConcatenateParam>(&attrs);
   int num_inputs = arg_size - 2;
@@ -222,7 +222,7 @@ MXNET_REGISTER_API("_npi.split")
     }
     param.sections = 0;
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::SplitParam>(&attrs);
 
@@ -256,7 +256,7 @@ MXNET_REGISTER_API("_npi.roll")
   } else {
     param.axis = TShape(args[2].operator ObjectRef());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyRollParam>(&attrs);
   NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
@@ -280,7 +280,7 @@ MXNET_REGISTER_API("_npi.rot90")
   } else {
     param.axes = TShape(args[2].operator ObjectRef());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyRot90Param>(&attrs);
   NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
@@ -351,7 +351,7 @@ MXNET_REGISTER_API("_npi.array_split")
     }
     param.sections = 0;
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::SplitParam>(&attrs);
   NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
@@ -393,7 +393,7 @@ MXNET_REGISTER_API("_npi.dsplit")
     }
     param.sections = 0;
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::SplitParam>(&attrs);
   int num_outputs = 0;
@@ -431,7 +431,7 @@ MXNET_REGISTER_API("_npi.hsplit")
     }
     param.sections = 0;
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::SplitParam>(&attrs);
   int num_outputs = 0;
@@ -471,7 +471,7 @@ MXNET_REGISTER_API("_npi.vsplit")
     }
     param.sections = 0;
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::SplitParam>(&attrs);
   int num_outputs = 0;
@@ -560,7 +560,7 @@ MXNET_REGISTER_API("_npi.diagflat")
   param.k = args[1].operator int();
   int num_inputs = 1;
   int num_outputs = 0;
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyDiagflatParam>(&attrs);
   NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
@@ -583,7 +583,7 @@ MXNET_REGISTER_API("_npi.squeeze")
   }
   int num_inputs = 1;
   int num_outputs = 0;
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::SqueezeParam>(&attrs);
   NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
diff --git a/src/api/operator/numpy/np_moments_op.cc b/src/api/operator/numpy/np_moments_op.cc
index e4e9238bb6c1..45dd45e8f4c9 100644
--- a/src/api/operator/numpy/np_moments_op.cc
+++ b/src/api/operator/numpy/np_moments_op.cc
@@ -65,7 +65,7 @@ MXNET_REGISTER_API("_npi.std")
     param.keepdims = args[4].operator bool();
   }
 
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
 
   SetAttrDict<op::NumpyMomentsParam>(&attrs);
 
@@ -120,7 +120,7 @@ MXNET_REGISTER_API("_npi.var")
     param.keepdims = args[4].operator bool();
   }
 
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
 
   SetAttrDict<op::NumpyMomentsParam>(&attrs);
 
@@ -168,7 +168,7 @@ MXNET_REGISTER_API("_npi.average")
     << "weighted cannot be None";
   param.weighted = args[4].operator bool();
 
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
 
   SetAttrDict<op::NumpyWeightedAverageParam>(&attrs);
 
diff --git a/src/api/operator/numpy/np_nan_to_num_op.cc b/src/api/operator/numpy/np_nan_to_num_op.cc
index fadc4fe55dc7..65fd26e5432e 100644
--- a/src/api/operator/numpy/np_nan_to_num_op.cc
+++ b/src/api/operator/numpy/np_nan_to_num_op.cc
@@ -53,7 +53,7 @@ MXNET_REGISTER_API("_npi.nan_to_num")
     param.neginf = args[4].operator double();
   }
 
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyNanToNumParam>(&attrs);
 
diff --git a/src/api/operator/numpy/np_pad_op.cc b/src/api/operator/numpy/np_pad_op.cc
index 9c15ccc913b7..317076d23d48 100644
--- a/src/api/operator/numpy/np_pad_op.cc
+++ b/src/api/operator/numpy/np_pad_op.cc
@@ -73,7 +73,7 @@ MXNET_REGISTER_API("_npi.pad")
     param.reflect_type = args[4].operator std::string();
   }
   attrs.op = op;
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   SetAttrDict<op::NumpyPadParam>(&attrs);
   int num_inputs = 1;
   int num_outputs = 0;
diff --git a/src/api/operator/numpy/np_percentile_op.cc b/src/api/operator/numpy/np_percentile_op.cc
index 634ee092c64d..196cca9baaf9 100644
--- a/src/api/operator/numpy/np_percentile_op.cc
+++ b/src/api/operator/numpy/np_percentile_op.cc
@@ -70,7 +70,7 @@ MXNET_REGISTER_API("_npi.percentile")
     param.q_scalar = args[1].operator double();
     NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
     int num_inputs = 1;
-    attrs.parsed = std::move(param);
+    attrs.parsed = param;
     attrs.op = op;
     SetAttrDict<op::NumpyPercentileParam>(&attrs);
     auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs, &num_outputs, outputs);
@@ -83,7 +83,7 @@ MXNET_REGISTER_API("_npi.percentile")
     param.q_scalar = dmlc::nullopt;
     NDArray* inputs[] = {args[0].operator mxnet::NDArray*(), args[1].operator mxnet::NDArray*()};
     int num_inputs = 2;
-    attrs.parsed = std::move(param);
+    attrs.parsed = param;
     attrs.op = op;
     SetAttrDict<op::NumpyPercentileParam>(&attrs);
     auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs, &num_outputs, outputs);
diff --git a/src/api/operator/numpy/np_repeat_op.cc b/src/api/operator/numpy/np_repeat_op.cc
index c79fb8bbe03c..c98a1711050a 100644
--- a/src/api/operator/numpy/np_repeat_op.cc
+++ b/src/api/operator/numpy/np_repeat_op.cc
@@ -41,7 +41,7 @@ MXNET_REGISTER_API("_npi.repeats")
   }
   int num_inputs = 1;
   int num_outputs = 0;
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::RepeatsParam>(&attrs);
   NDArray* inputs[] = {args[0].operator mxnet::NDArray*()};
diff --git a/src/api/operator/numpy/np_tensordot_op.cc b/src/api/operator/numpy/np_tensordot_op.cc
index 55c131468b12..0cc74d9355e1 100644
--- a/src/api/operator/numpy/np_tensordot_op.cc
+++ b/src/api/operator/numpy/np_tensordot_op.cc
@@ -62,7 +62,7 @@ inline static void _npi_tensordot(runtime::MXNetArgs args,
     param.b_axes_summed = Tuple<int>(adt[1]);
   }
   attrs.op = op;
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   SetAttrDict<op::TensordotParam>(&attrs);
   int num_outputs = 0;
   int num_inputs = 2;
diff --git a/src/api/operator/numpy/np_unique_op.cc b/src/api/operator/numpy/np_unique_op.cc
index 288260f5dfb2..a669025e108f 100644
--- a/src/api/operator/numpy/np_unique_op.cc
+++ b/src/api/operator/numpy/np_unique_op.cc
@@ -44,7 +44,7 @@ MXNET_REGISTER_API("_npi.unique")
   } else {
     param.axis = args[4].operator int();
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyUniqueParam>(&attrs);
   // inputs
diff --git a/src/api/operator/numpy/np_window_op.cc b/src/api/operator/numpy/np_window_op.cc
index 6b99c09cc75a..41c78cb16b6d 100644
--- a/src/api/operator/numpy/np_window_op.cc
+++ b/src/api/operator/numpy/np_window_op.cc
@@ -45,7 +45,7 @@ inline static void SetNumpyWindowsParam(runtime::MXNetArgs args,
   } else {
     param.dtype = String2MXNetTypeWithBool(args[1].operator std::string());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyWindowsParam>(&attrs);
   if (args[2].type_code() != kNull) {
diff --git a/src/api/operator/numpy/random/np_choice_op.cc b/src/api/operator/numpy/random/np_choice_op.cc
index fe7b54d512c8..bc5ebbcffa58 100644
--- a/src/api/operator/numpy/random/np_choice_op.cc
+++ b/src/api/operator/numpy/random/np_choice_op.cc
@@ -70,7 +70,7 @@ MXNET_REGISTER_API("_npi.choice")
     num_inputs++;
   }
 
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   if (args[4].type_code() != kNull) {
     attrs.dict["ctx"] = args[4].operator std::string();
diff --git a/src/api/operator/numpy/random/np_exponential_op.cc b/src/api/operator/numpy/random/np_exponential_op.cc
index fbb1644c6c5a..0c5b69417aff 100644
--- a/src/api/operator/numpy/random/np_exponential_op.cc
+++ b/src/api/operator/numpy/random/np_exponential_op.cc
@@ -58,7 +58,7 @@ MXNET_REGISTER_API("_npi.exponential")
     inputs[0] = args[0].operator mxnet::NDArray*();
     num_inputs = 1;
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   SetAttrDict<op::NumpyExponentialParam>(&attrs);
   auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs,
                           &num_outputs, outputs);
diff --git a/src/api/operator/numpy/random/np_laplace_op.cc b/src/api/operator/numpy/random/np_laplace_op.cc
index 57f770bfa376..a3ff63568828 100644
--- a/src/api/operator/numpy/random/np_laplace_op.cc
+++ b/src/api/operator/numpy/random/np_laplace_op.cc
@@ -73,7 +73,7 @@ MXNET_REGISTER_API("_npi.laplace")
   } else {
     param.dtype = String2MXNetTypeWithBool(args[3].operator std::string());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::NumpyLaplaceParam>(&attrs);
   if (args[4].type_code() != kNull) {
diff --git a/src/api/operator/numpy/random/np_location_scale_op.cc b/src/api/operator/numpy/random/np_location_scale_op.cc
index d163b0b5e014..ffcb41073400 100644
--- a/src/api/operator/numpy/random/np_location_scale_op.cc
+++ b/src/api/operator/numpy/random/np_location_scale_op.cc
@@ -82,7 +82,7 @@ MXNET_REGISTER_API("_npi.gumbel")
     }
     num_inputs = 1;
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   SetAttrDict<op::NumpyLocationScaleParam>(&attrs);
   auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs.data(),
                           &num_outputs, outputs);
@@ -137,7 +137,7 @@ MXNET_REGISTER_API("_npi.logistic")
     }
     num_inputs = 1;
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   SetAttrDict<op::NumpyLocationScaleParam>(&attrs);
   auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs.data(),
                           &num_outputs, outputs);
diff --git a/src/api/operator/numpy/random/np_pareto_op.cc b/src/api/operator/numpy/random/np_pareto_op.cc
index 92e3645b75bd..f18cdfdc2ecd 100644
--- a/src/api/operator/numpy/random/np_pareto_op.cc
+++ b/src/api/operator/numpy/random/np_pareto_op.cc
@@ -58,7 +58,7 @@ MXNET_REGISTER_API("_npi.pareto")
     inputs[0] = args[0].operator mxnet::NDArray*();
     num_inputs = 1;
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   SetAttrDict<op::NumpyParetoParam>(&attrs);
   auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs,
                           &num_outputs, outputs);
diff --git a/src/api/operator/numpy/random/np_power_op.cc b/src/api/operator/numpy/random/np_power_op.cc
index 12a621726cd2..4f0cb55ef4bc 100644
--- a/src/api/operator/numpy/random/np_power_op.cc
+++ b/src/api/operator/numpy/random/np_power_op.cc
@@ -58,7 +58,7 @@ MXNET_REGISTER_API("_npi.powerd")
     inputs[0] = args[0].operator mxnet::NDArray*();
     num_inputs = 1;
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   SetAttrDict<op::NumpyPowerParam>(&attrs);
   auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs,
                           &num_outputs, outputs);
diff --git a/src/api/operator/numpy/random/np_rayleigh_op.cc b/src/api/operator/numpy/random/np_rayleigh_op.cc
index 428e433763ad..5f602af335fd 100644
--- a/src/api/operator/numpy/random/np_rayleigh_op.cc
+++ b/src/api/operator/numpy/random/np_rayleigh_op.cc
@@ -58,7 +58,7 @@ MXNET_REGISTER_API("_npi.rayleigh")
     inputs[0] = args[0].operator mxnet::NDArray*();
     num_inputs = 1;
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   SetAttrDict<op::NumpyRayleighParam>(&attrs);
   auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs,
                           &num_outputs, outputs);
diff --git a/src/api/operator/numpy/random/np_weibull_op.cc b/src/api/operator/numpy/random/np_weibull_op.cc
index ef3b7e6ed7b6..18a2918634df 100644
--- a/src/api/operator/numpy/random/np_weibull_op.cc
+++ b/src/api/operator/numpy/random/np_weibull_op.cc
@@ -58,7 +58,7 @@ MXNET_REGISTER_API("_npi.weibull")
     inputs[0] = args[0].operator mxnet::NDArray*();
     num_inputs = 1;
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   SetAttrDict<op::NumpyWeibullParam>(&attrs);
   auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs,
                           &num_outputs, outputs);
diff --git a/src/api/operator/random/np_gamma_op.cc b/src/api/operator/random/np_gamma_op.cc
index 44aeb44c44f8..8bf3717c5825 100644
--- a/src/api/operator/random/np_gamma_op.cc
+++ b/src/api/operator/random/np_gamma_op.cc
@@ -91,7 +91,7 @@ MXNET_REGISTER_API("_npi.gamma")
   NDArray* out = args[5].operator mxnet::NDArray*();
   NDArray** outputs = out == nullptr ? nullptr : &out;
   int num_outputs = out != nullptr;
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   if (args[3].type_code() != kNull) {
     attrs.dict["ctx"] = args[3].operator std::string();
diff --git a/src/api/operator/random/np_normal_op.cc b/src/api/operator/random/np_normal_op.cc
index bd39115f77c2..d78f50fdc564 100644
--- a/src/api/operator/random/np_normal_op.cc
+++ b/src/api/operator/random/np_normal_op.cc
@@ -77,7 +77,7 @@ MXNET_REGISTER_API("_npi.normal")
   } else {
     param.dtype = String2MXNetTypeWithBool(args[4].operator std::string());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   if (args[3].type_code() != kNull) {
     attrs.dict["ctx"] = args[3].operator std::string();
diff --git a/src/api/operator/random/np_uniform_op.cc b/src/api/operator/random/np_uniform_op.cc
index 4cbc599cfe4c..41e830fefbed 100644
--- a/src/api/operator/random/np_uniform_op.cc
+++ b/src/api/operator/random/np_uniform_op.cc
@@ -76,7 +76,7 @@ MXNET_REGISTER_API("_npi.uniform")
   } else {
     param.dtype = String2MXNetTypeWithBool(args[4].operator std::string());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   if (args[3].type_code() != kNull) {
     attrs.dict["ctx"] = args[3].operator std::string();
diff --git a/src/api/operator/tensor/matrix_op.cc b/src/api/operator/tensor/matrix_op.cc
index 61344286372e..5b275d5c38a9 100644
--- a/src/api/operator/tensor/matrix_op.cc
+++ b/src/api/operator/tensor/matrix_op.cc
@@ -79,7 +79,7 @@ MXNET_REGISTER_API("_npi.tile")
   } else {
   param.reps = Tuple<int>(args[1].operator ObjectRef());
   }
-  attrs.parsed = std::move(param);
+  attrs.parsed = param;
   attrs.op = op;
   SetAttrDict<op::TileParam>(&attrs);
   int num_outputs = 0;
diff --git a/src/c_api/c_api.cc b/src/c_api/c_api.cc
index ea39d9ac6e5b..3d73ceb03267 100644
--- a/src/c_api/c_api.cc
+++ b/src/c_api/c_api.cc
@@ -236,13 +236,13 @@ void CustomFComputeDispatcher(const std::string op_name,
     return static_cast<void*>((*cpualloc)(size));
   };
 
-  typedef decltype(gpu_alloc) alloc_type_gpu;
+  using alloc_type_gpu = decltype(gpu_alloc);
   auto gpu_malloc = [](void* _gpu_alloc, int size) {
     alloc_type_gpu* gpualloc = static_cast<alloc_type_gpu*>(_gpu_alloc);
     return static_cast<void*>((*gpualloc)(size));
   };
 
-  typedef decltype(sparse_alloc) alloc_type_sparse;
+  using alloc_type_sparse = decltype(sparse_alloc);
   auto sparse_malloc = [](void* _sparse_alloc, int index, int indices_len, int idxptr_len,
                            void** data, int64_t** indices, int64_t** indptr) {
     alloc_type_sparse* sparsealloc = static_cast<alloc_type_sparse*>(_sparse_alloc);
@@ -1209,7 +1209,7 @@ void registerPasses(void *lib, int verbose) {
       // create no-capture lambda so that we can cast it to function pointer
       // lambda with captures cannot be cast to function pointer and pass to lib_api.h
       // this needs to be a lambda function so that we can do the decltype cast
-      typedef decltype(ndarray_alloc) alloc_type_ndarray;
+      using alloc_type_ndarray = decltype(ndarray_alloc);
       auto ndarray_malloc = [](const void* _ndarray_alloc, const int64_t* shapes, int num_shapes,
                                const char* dev_str, int dev_id, int dtype, const char* name,
                                int isArg, void** data) {
@@ -1316,6 +1316,7 @@ int MXNotifyShutdown() {
   API_BEGIN();
   mxnet::op::custom::CustomOperator::Get()->Stop();
   Engine::Get()->NotifyShutdown();
+  Engine::Get()->WaitForAll();
   API_END();
 }
 
@@ -2159,7 +2160,7 @@ int MXDataIterCreateIter(DataIterCreator creator,
   iter = e->body();
   std::vector<std::pair<std::string, std::string> > kwargs;
   for (uint32_t i = 0; i < num_param; ++i) {
-    kwargs.push_back({std::string(keys[i]), std::string(vals[i])});
+    kwargs.emplace_back(std::string(keys[i]), std::string(vals[i]));
   }
   iter->Init(kwargs);
   *out = iter;
@@ -2286,7 +2287,7 @@ int MXDatasetCreateDataset(DatasetCreator handle,
   DatasetReg *e = static_cast<DatasetReg *>(handle);
   std::vector<std::pair<std::string, std::string> > kwargs;
   for (uint32_t i = 0; i < num_param; ++i) {
-    kwargs.push_back({std::string(keys[i]), std::string(vals[i])});
+    kwargs.emplace_back(std::string(keys[i]), std::string(vals[i]));
   }
   dataset = e->body(kwargs);
   *out = new std::shared_ptr<Dataset>(dataset);
@@ -2303,7 +2304,7 @@ int MXDatasetGetDatasetInfo(DatasetCreator creator,
   DatasetReg *e = static_cast<DatasetReg *>(creator);
   return MXAPIGetFunctionRegInfo(e, name, description, num_args,
                                  arg_names, arg_type_infos, arg_descriptions,
-                                 NULL);
+                                 nullptr);
 }
 
 int MXDatasetFree(DatasetHandle handle) {
@@ -2374,7 +2375,7 @@ int MXBatchifyFunctionCreateFunction(BatchifyFunctionCreator handle,
   BatchifyFunctionReg *e = static_cast<BatchifyFunctionReg *>(handle);
   std::vector<std::pair<std::string, std::string> > kwargs;
   for (uint32_t i = 0; i < num_param; ++i) {
-    kwargs.push_back({std::string(keys[i]), std::string(vals[i])});
+    kwargs.emplace_back(std::string(keys[i]), std::string(vals[i]));
   }
   bf = e->body(kwargs);
   *out = new BatchifyFunctionPtr(bf);
@@ -2391,7 +2392,7 @@ int MXBatchifyFunctionGetFunctionInfo(BatchifyFunctionCreator creator,
   BatchifyFunctionReg *e = static_cast<BatchifyFunctionReg *>(creator);
   return MXAPIGetFunctionRegInfo(e, name, description, num_args,
                                  arg_names, arg_type_infos, arg_descriptions,
-                                 NULL);
+                                 nullptr);
 }
 int MXBatchifyFunctionInvoke(BatchifyFunctionHandle handle,
                              int batch_size,
@@ -3148,8 +3149,8 @@ int MXNDArrayCreateFromSharedMemEx(int shared_pid, int shared_id, const int *sha
   API_END();
 }
 
-typedef Engine::VarHandle VarHandle;
-typedef Engine::CallbackOnComplete CallbackOnComplete;
+using VarHandle = Engine::VarHandle;
+using CallbackOnComplete = Engine::CallbackOnComplete;
 
 void AssertValidNumberVars(int num_const_vars, int num_mutable_vars) {
   CHECK_GE(num_const_vars, 0) << "Non-negative number of const vars expected.";
diff --git a/src/c_api/c_api_profile.cc b/src/c_api/c_api_profile.cc
index d0ad6a163a0a..79d11b92dff6 100644
--- a/src/c_api/c_api_profile.cc
+++ b/src/c_api/c_api_profile.cc
@@ -61,7 +61,7 @@ class ProfilingThreadData {
   /*!
    * \brief Constructor, nothrow
    */
-  inline ProfilingThreadData() noexcept {}
+  inline ProfilingThreadData() = default;
 
   /*!
    * \brief Retreive ProfileTask object of the given name, or create if it doesn't exist
diff --git a/src/c_api/c_api_symbolic.cc b/src/c_api/c_api_symbolic.cc
index 963a2d52ad3e..06f956bc20e9 100644
--- a/src/c_api/c_api_symbolic.cc
+++ b/src/c_api/c_api_symbolic.cc
@@ -177,6 +177,20 @@ int MXSymbolGetOutput(SymbolHandle symbol,
   return NNSymbolGetOutput(symbol, index, out);
 }
 
+int MXSymbolGetInputs(SymbolHandle symbol,
+                      SymbolHandle *out) {
+    nnvm::Symbol *s = new nnvm::Symbol();
+    API_BEGIN();
+    std::vector<nnvm::ObjectPtr> inputs = static_cast<nnvm::Symbol*>(symbol)->ListInputs(
+        nnvm::Symbol::ListInputOption(0));
+    for (const nnvm::ObjectPtr &o : inputs) {
+        nnvm::NodeEntry e(o);
+        s->outputs.push_back(e);
+    }
+    *out = s;
+    API_END_HANDLE_ERROR(delete s);
+}
+
 int MXSymbolGetInternals(SymbolHandle symbol,
                          SymbolHandle *out) {
   nnvm::Symbol *s = new nnvm::Symbol();
@@ -1052,7 +1066,7 @@ int MXQuantizeSymbol(SymbolHandle sym_handle,
   g = ApplyPass(std::move(g), "QuantizeGraph");
   const auto& calib_nodes = g.GetAttr<std::vector<std::string>>("calib_nodes");
   MXAPIThreadLocalEntry<> *ret = MXAPIThreadLocalStore<>::Get();
-  ret->ret_vec_str = std::move(calib_nodes);
+  ret->ret_vec_str = calib_nodes;
   *out_num_calib_names = ret->ret_vec_str.size();
   ret->ret_vec_charp.clear();
   ret->ret_vec_charp.reserve(ret->ret_vec_str.size());
@@ -1116,21 +1130,21 @@ static void _UpdateSymDTypeAttrs(
   // Update args to have the right dtype attrs
   if (model_params.size() > 0) {
     // if model params provided, set dtype only for model params
-    for (size_t i = 0; i < args.size(); ++i) {
-      const std::string& node_name = args[i]->attrs.name;
+    for (const auto & arg : args) {
+      const std::string& node_name = arg->attrs.name;
       auto it_model_params = model_params.find(node_name);
       auto it_with_dtype = node_name_dtype_map.find(node_name);
       auto it_without_dtype = node_without_dtype_map.find(node_name);
       if (it_model_params != model_params.end()) {
         // need to update __dtype__ attribute if already set, else set it
         if (it_with_dtype != node_name_dtype_map.end()) {
-          args[i]->attrs.dict[dtype_keyword] =
+          arg->attrs.dict[dtype_keyword] =
               std::to_string(it_with_dtype->second);
         } else {
           CHECK(it_without_dtype != node_without_dtype_map.end())
               << "make sure all nodes without dtype have properly been added "
                  "in node_without_dtype_map";
-          args[i]->attrs.dict[dtype_keyword] =
+          arg->attrs.dict[dtype_keyword] =
               std::to_string(it_without_dtype->second);
         }
       }
@@ -1138,12 +1152,12 @@ static void _UpdateSymDTypeAttrs(
   } else {
     // if model params not provided, update __dtype__ for all inputs,
     // which already had it set, don't touch the rest
-    for (size_t i = 0; i < args.size(); ++i) {
-      auto it = node_name_dtype_map.find(args[i]->attrs.name);
+    for (const auto & arg : args) {
+      auto it = node_name_dtype_map.find(arg->attrs.name);
       if (it != node_name_dtype_map.end()) {
-        if (args[i]->attrs.dict.find(dtype_keyword) !=
-            args[i]->attrs.dict.end()) {
-          args[i]->attrs.dict[dtype_keyword] = std::to_string(it->second);
+        if (arg->attrs.dict.find(dtype_keyword) !=
+            arg->attrs.dict.end()) {
+          arg->attrs.dict[dtype_keyword] = std::to_string(it->second);
         }
       }
     }
@@ -1242,7 +1256,7 @@ int MXReducePrecisionSymbol(SymbolHandle sym_handle,
   const nnvm::DTypeVector &inferred_dtypes =
       g.GetAttr<nnvm::DTypeVector>("dtype");
 
-  g.attrs["inferred_dtypes"] = std::make_shared<dmlc::any>(std::move(inferred_dtypes));
+  g.attrs["inferred_dtypes"] = std::make_shared<dmlc::any>(inferred_dtypes);
   g.attrs["target_dtype"] = std::make_shared<nnvm::any>(target_dt);
 
   if (cast_optional_params) {
@@ -1360,6 +1374,17 @@ int MXOptimizeForBackend(SymbolHandle sym_handle,
                          const mx_uint num_options,
                          const char** keys,
                          const char** vals,
+                         const uint32_t num_input_shapes,
+                         const char** input_shape_names,
+                         const int64_t* input_shape_data,
+                         const uint32_t* input_shape_idx,
+                         const uint32_t num_input_dtypes,
+                         const char** input_dtype_names,
+                         const int* input_dtypes,
+                         const uint32_t num_input_stypes,
+                         const char** input_stype_names,
+                         const int* input_stypes,
+                         bool skip_infer,
                          int* new_args_cnt,
                          NDArrayHandle** new_args_handle,
                          char*** new_arg_names_handle,
@@ -1383,47 +1408,80 @@ int MXOptimizeForBackend(SymbolHandle sym_handle,
   if (args_len || aux_len) {
     NDArray **in_args_ptr = reinterpret_cast<NDArray**>(in_args_handle);
     NDArray **in_aux_ptr = reinterpret_cast<NDArray**>(in_aux_handle);
-    Context default_ctx = Context::Create(static_cast<Context::DeviceType>(dev_type), 0);
-    mxnet::ShapeVector arg_shapes(args_len + aux_len);
-    nnvm::DTypeVector arg_dtypes(args_len + aux_len);
-    StorageTypeVector arg_stypes(args_len + aux_len);
-    size_t args_top = 0, aux_top = 0;
-    // loop over inputs to symbol in order and add to args/aux if mutable
-    for (size_t i = 0; i < num_forward_inputs; ++i) {
-      const uint32_t nid = indexed_graph.input_nodes().at(i);
-      if (mutable_nodes.count(nid)) {
-        CHECK_LT(aux_top, aux_len)
-          << "Cannot find aux '" << input_names[i] << "' in provided aux to optimize_for";
-        const auto &in_arg = *(in_aux_ptr[aux_top++]);
-        arg_shapes[i] = in_arg.shape();
-        arg_dtypes[i] = in_arg.dtype();
-        arg_stypes[i] = in_arg.storage_type();
-      } else {
-        CHECK_LT(args_top, args_len)
-          << "Cannot find arg '" << input_names[i] << "' in provided args to optimize_for";
-        const auto &in_arg = *(in_args_ptr[args_top++]);
-        arg_shapes[i] = in_arg.shape();
-        arg_dtypes[i] = in_arg.dtype();
-        arg_stypes[i] = in_arg.storage_type();
+    if (!skip_infer) {
+      Context default_ctx = Context::Create(static_cast<Context::DeviceType>(dev_type), 0);
+      mxnet::ShapeVector arg_shapes(args_len + aux_len);
+      nnvm::DTypeVector arg_dtypes(args_len + aux_len);
+      StorageTypeVector arg_stypes(args_len + aux_len);
+
+      // create the input shape, dtype and stype maps
+      std::unordered_map<std::string, mxnet::TShape> input_shape_map(num_input_shapes);
+      for (uint32_t i = 0; i < num_input_shapes; ++i) {
+        input_shape_map.emplace(input_shape_names[i],
+                    mxnet::TShape(input_shape_data + input_shape_idx[i],
+                    input_shape_data + input_shape_idx[i+1]));
+      }
+      std::unordered_map<std::string, int> input_dtype_map(num_input_dtypes);
+      for (uint32_t i = 0; i < num_input_dtypes; ++i) {
+        input_dtype_map.emplace(input_dtype_names[i], input_dtypes[i]);
+      }
+      std::unordered_map<std::string, int> input_stype_map(num_input_stypes);
+      for (uint32_t i = 0; i < num_input_stypes; ++i) {
+        input_stype_map.emplace(input_stype_names[i], input_stypes[i]);
+      }
+
+      size_t args_top = 0, aux_top = 0;
+      // loop over inputs to symbol in order and add to args/aux if mutable
+      for (size_t i = 0; i < num_forward_inputs; ++i) {
+        const uint32_t nid = indexed_graph.input_nodes().at(i);
+        if (mutable_nodes.count(nid)) {
+          CHECK_LT(aux_top, aux_len)
+            << "Cannot find aux '" << input_names[i] << "' in provided aux to optimize_for";
+          if (in_aux_ptr[aux_top] != nullptr) {
+            const auto &in_arg = *(in_aux_ptr[aux_top]);
+            arg_shapes[i] = in_arg.shape();
+            arg_dtypes[i] = in_arg.dtype();
+            arg_stypes[i] = in_arg.storage_type();
+          }
+          aux_top++;
+        } else {
+          auto name = input_names[i];
+          CHECK_LT(args_top, args_len)
+            << "Cannot find arg '" << name << "' in provided args to optimize_for";
+          if (in_args_ptr[args_top] != nullptr) {
+            const auto &in_arg = *(in_args_ptr[args_top]);
+            arg_shapes[i] = in_arg.shape();
+            arg_dtypes[i] = in_arg.dtype();
+            arg_stypes[i] = in_arg.storage_type();
+          } else {
+            // input_names[i] is not in args but can be in the optional
+            // shape/type/stype attribute dicts.
+            auto it_shape = input_shape_map.find(name);
+            if (it_shape != input_shape_map.end()) {
+              arg_shapes[i] = it_shape->second;
+            }
+            auto it_type = input_dtype_map.find(name);
+            if (it_type != input_dtype_map.end()) {
+              arg_dtypes[i] = it_type->second;
+            }
+            it_type = input_stype_map.find(name);
+            if (it_type != input_stype_map.end()) {
+              arg_stypes[i] = it_type->second;
+            }
+          }
+          args_top++;
+        }
       }
-    }
 
-    g.attrs["context"] = std::make_shared<nnvm::any>(
-        exec::ContextVector(indexed_graph.num_nodes(), default_ctx));
+      g.attrs["context"] = std::make_shared<nnvm::any>(
+          exec::ContextVector(indexed_graph.num_nodes(), default_ctx));
 
-    // infer shapes
-    g = exec::InferShape(std::move(g), std::move(arg_shapes), "__shape__");
-    // infer dtypes
-    g = exec::InferType(std::move(g), std::move(arg_dtypes), "__dtype__");
-    if (g.GetAttr<size_t>("dtype_num_unknown_nodes") != 0U) {
-      common::HandleInferTypeError(num_forward_inputs, indexed_graph,
-                                   g.GetAttr<nnvm::DTypeVector>("dtype"));
-    }
-    // infer stypes
-    g = exec::InferStorageType(std::move(g), std::move(arg_stypes), "__storage_type__");
-    if (g.GetAttr<size_t>("storage_type_num_unknown_nodes") != 0U) {
-      common::HandleInferStorageTypeError(num_forward_inputs, indexed_graph,
-                                          g.GetAttr<StorageTypeVector>("storage_type"));
+      // infer shapes
+      g = exec::InferShape(std::move(g), std::move(arg_shapes), "__shape__");
+      // infer dtypes
+      g = exec::InferType(std::move(g), std::move(arg_dtypes), "__dtype__");
+      // infer stypes
+      g = exec::InferStorageType(std::move(g), std::move(arg_stypes), "__storage_type__");
     }
     // set args/aux as attributes on graph so that subgraph property can use them
     std::vector<std::string> arg_names = sym->ListInputNames(nnvm::Symbol::kReadOnlyArgs);
diff --git a/src/c_api/c_api_test.cc b/src/c_api/c_api_test.cc
index de4fb7dca18e..e84b0c0b1395 100644
--- a/src/c_api/c_api_test.cc
+++ b/src/c_api/c_api_test.cc
@@ -106,3 +106,25 @@ int MXRemoveSubgraphPropertyOpNamesV2(const char* prop_name) {
   }
   API_END();
 }
+
+int MXGetEnv(const char* name,
+             const char** value) {
+  API_BEGIN();
+  *value = getenv(name);
+  API_END();
+}
+
+int MXSetEnv(const char* name,
+             const char* value) {
+  API_BEGIN();
+#ifdef _WIN32
+  auto value_arg = (value == nullptr) ? "" : value;
+  _putenv_s(name, value_arg);
+#else
+  if (value == nullptr)
+    unsetenv(name);
+  else
+    setenv(name, value, 1);
+#endif
+  API_END();
+}
diff --git a/src/common/exec_utils.h b/src/common/exec_utils.h
index ff1c477990e5..d69e0c555fd5 100644
--- a/src/common/exec_utils.h
+++ b/src/common/exec_utils.h
@@ -369,78 +369,6 @@ inline void LogInferStorage(const nnvm::Graph& g) {
   }
 }
 
-// prints a helpful message after shape inference errors in executor.
-inline void HandleInferShapeError(const size_t num_forward_inputs,
-                                  const nnvm::IndexedGraph& idx,
-                                  const mxnet::ShapeVector& inferred_shapes) {
-  int cnt = 10;
-  std::ostringstream oss;
-  for (size_t i = 0; i < num_forward_inputs; ++i) {
-    const uint32_t nid = idx.input_nodes().at(i);
-    const uint32_t eid = idx.entry_id(nid, 0);
-    const mxnet::TShape& inferred_shape = inferred_shapes[eid];
-    if (!shape_is_known(inferred_shape)) {
-      const std::string& arg_name = idx[nid].source->attrs.name;
-      oss << arg_name << ": " << inferred_shape << ", ";
-      if (--cnt == 0) {
-        oss << "...";
-        break;
-      }
-    }
-  }
-  LOG(FATAL) << "InferShape pass cannot decide shapes for the following arguments "
-                "(-1 means unknown dimensions). Please consider providing them as inputs:\n"
-             << oss.str();
-}
-
-// prints a helpful message after type inference errors in executor.
-inline void HandleInferTypeError(const size_t num_forward_inputs,
-                                 const nnvm::IndexedGraph& idx,
-                                 const nnvm::DTypeVector& inferred_dtypes) {
-  int cnt = 10;
-  std::ostringstream oss;
-  for (size_t i = 0; i < num_forward_inputs; ++i) {
-    const uint32_t nid = idx.input_nodes().at(i);
-    const uint32_t eid = idx.entry_id(nid, 0);
-    const int inferred_dtype = inferred_dtypes[eid];
-    if (inferred_dtype == -1) {
-      const std::string& arg_name = idx[nid].source->attrs.name;
-      oss << arg_name << ": " << inferred_dtype << ", ";
-      if (--cnt == 0) {
-        oss << "...";
-        break;
-      }
-    }
-  }
-  LOG(FATAL) << "InferType pass cannot decide dtypes for the following arguments "
-                "(-1 means unknown dtype). Please consider providing them as inputs:\n"
-             << oss.str();
-}
-
-// prints a helpful message after storage type checking errors in executor.
-inline void HandleInferStorageTypeError(const size_t num_forward_inputs,
-                                        const nnvm::IndexedGraph& idx,
-                                        const StorageTypeVector& inferred_stypes) {
-  int cnt = 10;
-  std::ostringstream oss;
-  for (size_t i = 0; i < num_forward_inputs; ++i) {
-    const uint32_t nid = idx.input_nodes().at(i);
-    const uint32_t eid = idx.entry_id(nid, 0);
-    const int inferred_stype = inferred_stypes[eid];
-    if (inferred_stype == -1) {
-      const std::string& arg_name = idx[nid].source->attrs.name;
-      oss << arg_name << ": " << common::stype_string(inferred_stype) << ", ";
-      if (--cnt == 0) {
-        oss << "...";
-        break;
-      }
-    }
-  }
-  LOG(FATAL) << "InferStorageType pass cannot decide storage type for the following arguments "
-                "(-1 means unknown stype). Please consider providing them as inputs:\n"
-             << oss.str();
-}
-
 /*!
  * \brief If the requested ndarray's shape size is less than
  * the corresponding shared_data_array's shape size and the
diff --git a/src/engine/naive_engine.cc b/src/engine/naive_engine.cc
index 5e51199e3304..89f6b4d99089 100644
--- a/src/engine/naive_engine.cc
+++ b/src/engine/naive_engine.cc
@@ -22,6 +22,7 @@
  * \file naive_engine.cc
  * \brief Implementation of NaiveEngine
  */
+#include <memory>
 #include <vector>
 #include <atomic>
 #include <thread>
@@ -67,8 +68,8 @@ class NaiveEngine final : public Engine {
     objpool_var_ref_ = common::ObjectPool<NaiveVar>::_GetSharedRef();
   }
   // virtual destructor
-  virtual ~NaiveEngine() {
 #if MXNET_USE_CUDA
+  ~NaiveEngine() override {
     LOG(INFO) << "Engine shutdown";
     for (size_t i = 0; i < streams_.size(); ++i) {
       if (streams_[i] != nullptr) {
@@ -83,8 +84,10 @@ class NaiveEngine final : public Engine {
         aux_streams_[i] = nullptr;
       }
     }
-#endif
   }
+#else
+  ~NaiveEngine() override = default;
+#endif
 
   void Stop() override {
   }
@@ -125,10 +128,10 @@ class NaiveEngine final : public Engine {
         if (opr->profiling) {
           std::unique_ptr<profiler::ProfileOperator::Attributes> attrs;
           if (profiler->AggregateEnabled()) {
-            attrs.reset(new profiler::ProfileOperator::Attributes());
+            attrs = std::make_unique<profiler::ProfileOperator::Attributes>();
           }
-          opr->opr_profile.reset(new profiler::ProfileOperator(opr->opr_name.c_str(),
-                                                               attrs.release()));
+          opr->opr_profile = std::make_unique<profiler::ProfileOperator>(opr->opr_name.c_str(),
+                                                               attrs.release());
           opr->opr_profile->startForDevice(exec_ctx.dev_type, exec_ctx.dev_id);
         }
         opr->fn(ctx, on_complete);
@@ -175,9 +178,10 @@ class NaiveEngine final : public Engine {
       opr->profiling = profiling;
       std::unique_ptr<profiler::ProfileOperator::Attributes> attrs;
       if (profiler->AggregateEnabled()) {
-        attrs.reset(new profiler::ProfileOperator::Attributes());
+        attrs = std::make_unique<profiler::ProfileOperator::Attributes>();
       }
-      opr->opr_profile.reset(new profiler::ProfileOperator(opr->opr_name.c_str(), attrs.release()));
+      opr->opr_profile = std::make_unique<profiler::ProfileOperator>(opr->opr_name.c_str(),
+                                                                     attrs.release());
       opr->opr_profile->startForDevice(exec_ctx.dev_type, exec_ctx.dev_id);
     }
     if (exec_ctx.dev_mask() == gpu::kDevMask) {
diff --git a/src/engine/threaded_engine_perdevice.cc b/src/engine/threaded_engine_perdevice.cc
index 2184d784a414..81494ec66096 100644
--- a/src/engine/threaded_engine_perdevice.cc
+++ b/src/engine/threaded_engine_perdevice.cc
@@ -28,6 +28,8 @@
 #include <dmlc/parameter.h>
 #include <dmlc/concurrency.h>
 #include <dmlc/thread_group.h>
+
+#include <memory>
 #include "../initialize.h"
 #include "./threaded_engine.h"
 #include "./thread_pool.h"
@@ -55,7 +57,7 @@ class ThreadedEnginePerDevice : public ThreadedEngine {
   ThreadedEnginePerDevice() noexcept(false) {
     this->Start();
   }
-  ~ThreadedEnginePerDevice() noexcept(false) {
+  ~ThreadedEnginePerDevice() noexcept(false) override {
     this->StopNoWait();
   }
 
@@ -82,12 +84,12 @@ class ThreadedEnginePerDevice : public ThreadedEngine {
     gpu_copy_nthreads_ = dmlc::GetEnv("MXNET_GPU_COPY_NTHREADS", 2);
     // create CPU task
     int cpu_priority_nthreads = dmlc::GetEnv("MXNET_CPU_PRIORITY_NTHREADS", 4);
-    cpu_priority_worker_.reset(new ThreadWorkerBlock<kPriorityQueue>());
-    cpu_priority_worker_->pool.reset(new ThreadPool(
+    cpu_priority_worker_ = std::make_unique<ThreadWorkerBlock<kPriorityQueue>>();
+    cpu_priority_worker_->pool = std::make_unique<ThreadPool>(
         cpu_priority_nthreads,
         [this](std::shared_ptr<dmlc::ManualEvent> ready_event) {
           this->CPUWorker(Context(), cpu_priority_worker_.get(), ready_event);
-        }, true));
+        }, true);
     // GPU tasks will be created lazily
   }
 
@@ -113,10 +115,10 @@ class ThreadedEnginePerDevice : public ThreadedEngine {
           auto ptr =
           cpu_normal_workers_.Get(dev_id, [this, ctx, nthread]() {
               auto blk = new ThreadWorkerBlock<kWorkerQueue>();
-              blk->pool.reset(new ThreadPool(nthread,
+              blk->pool = std::make_unique<ThreadPool>(nthread,
                   [this, ctx, blk](std::shared_ptr<dmlc::ManualEvent> ready_event) {
                     this->CPUWorker(ctx, blk, ready_event);
-                  }, true));
+                  }, true);
             return blk;
           });
           if (ptr) {
@@ -139,12 +141,12 @@ class ThreadedEnginePerDevice : public ThreadedEngine {
             // Signify to kernel that GPU is being used, so reserve cores as necessary
             OpenMP::Get()->set_reserve_cores(GetReserveCoreCount(true));
             auto blk = new ThreadWorkerBlock<kCopyQueue>();
-              blk->pool.reset(new ThreadPool(
+              blk->pool = std::make_unique<ThreadPool>(
                 nthread,
                 [this, ctx, is_copy, blk]
                   (std::shared_ptr<dmlc::ManualEvent> ready_event) {
                     this->GPUWorker(ctx, is_copy, blk, ready_event);
-                  }, true));
+                  }, true);
               return blk;
             });
           if (ptr) {
@@ -162,12 +164,12 @@ class ThreadedEnginePerDevice : public ThreadedEngine {
               // Signify to kernel that GPU is being used, so reserve cores as necessary
               OpenMP::Get()->set_reserve_cores(GetReserveCoreCount(true));
                 auto blk = new ThreadWorkerBlock<kPriorityQueue>();
-                blk->pool.reset(new ThreadPool(
+                blk->pool = std::make_unique<ThreadPool>(
                   nthread,
                   [this, ctx, is_copy, blk]
                     (std::shared_ptr<dmlc::ManualEvent> ready_event) {
                       this->GPUWorker(ctx, is_copy, blk, ready_event);
-                    }, true));
+                    }, true);
                 return blk;
             });
             if (ptr) {
@@ -179,12 +181,12 @@ class ThreadedEnginePerDevice : public ThreadedEngine {
               // Signify to kernel that GPU is being used, so reserve cores as necessary
               OpenMP::Get()->set_reserve_cores(GetReserveCoreCount(true));
                 auto blk = new ThreadWorkerBlock<kWorkerQueue>();
-                blk->pool.reset(new ThreadPool(
+                blk->pool = std::make_unique<ThreadPool>(
                   nthread,
                   [this, ctx, is_copy, blk]
                     (std::shared_ptr<dmlc::ManualEvent> ready_event) {
                       this->GPUWorker(ctx, is_copy, blk, ready_event);
-                    }, true));
+                    }, true);
                 return blk;
             });
             if (ptr) {
@@ -211,7 +213,7 @@ class ThreadedEnginePerDevice : public ThreadedEngine {
     // constructor
     ThreadWorkerBlock() = default;
     // destructor
-    ~ThreadWorkerBlock() noexcept(false) {}
+    ~ThreadWorkerBlock() = default;
   };
 
   /*! \brief whether this is a worker thread. */
diff --git a/src/engine/threaded_engine_pooled.cc b/src/engine/threaded_engine_pooled.cc
index c6eb99508e09..1304594e24a8 100644
--- a/src/engine/threaded_engine_pooled.cc
+++ b/src/engine/threaded_engine_pooled.cc
@@ -27,6 +27,7 @@
 #include <dmlc/logging.h>
 #include <dmlc/concurrency.h>
 #include <cassert>
+#include <memory>
 #include <utility>
 #include "./threaded_engine.h"
 #include "./thread_pool.h"
@@ -50,7 +51,7 @@ class ThreadedEnginePooled : public ThreadedEngine {
     this->Start();
   }
 
-  ~ThreadedEnginePooled() noexcept(false) {
+  ~ThreadedEnginePooled() noexcept(false) override {
     StopNoWait();
   }
 
@@ -71,17 +72,17 @@ class ThreadedEnginePooled : public ThreadedEngine {
   }
 
   void Start() override {
-    streams_.reset(new StreamManager<kMaxNumGpus, kNumStreamsPerGpu>());
+    streams_ = std::make_unique<StreamManager<kMaxNumGpus, kNumStreamsPerGpu>>();
     task_queue_.reset(new dmlc::ConcurrentBlockingQueue<OprBlock*>());
     io_task_queue_.reset(new dmlc::ConcurrentBlockingQueue<OprBlock*>());
-    thread_pool_.reset(new ThreadPool(kNumWorkingThreads,
+    thread_pool_ = std::make_unique<ThreadPool>(kNumWorkingThreads,
                                       [this](std::shared_ptr<dmlc::ManualEvent> ready_event) {
                                         ThreadWorker(task_queue_, ready_event); },
-                                      true));
-    io_thread_pool_.reset(new ThreadPool(1,
+                                      true);
+    io_thread_pool_ = std::make_unique<ThreadPool>(1,
                                          [this](std::shared_ptr<dmlc::ManualEvent> ready_event) {
                                            ThreadWorker(io_task_queue_, ready_event); },
-                                         true));
+                                         true);
   }
 
  protected:
diff --git a/src/imperative/attach_op_execs_pass.cc b/src/imperative/attach_op_execs_pass.cc
index 8f47bc29db13..d065aff5ac92 100644
--- a/src/imperative/attach_op_execs_pass.cc
+++ b/src/imperative/attach_op_execs_pass.cc
@@ -27,6 +27,8 @@
 #include <mxnet/op_attr_types.h>
 #include <mxnet/graph_attr_types.h>
 #include <nnvm/graph_attr_types.h>
+
+#include <utility>
 #include "../common/utils.h"
 #include "../common/exec_utils.h"
 #include "./exec_pass.h"
@@ -45,8 +47,8 @@ namespace exec {
 // FComputeExecutor and FStatefulComputeExecutor inherit from this class
 class StorageFallbackOpExecutor : public OpExecutor {
  public:
-  explicit StorageFallbackOpExecutor(const std::vector<uint32_t> &mutate_idx)
-      : mutate_idx_(mutate_idx) {}
+  explicit StorageFallbackOpExecutor(std::vector<uint32_t> mutate_idx)
+      : mutate_idx_(std::move(mutate_idx)) {}
 
   void Setup() override {
     init_ = false;
@@ -136,12 +138,12 @@ class StatefulComputeExecutor : public StorageFallbackOpExecutor {
     return state_;
   }
 
-  explicit StatefulComputeExecutor(const OpStatePtr& state,
-                                   const FStatefulCompute& fcompute,
+  explicit StatefulComputeExecutor(OpStatePtr  state,
+                                   FStatefulCompute  fcompute,
                                    ExecType exec_type,
                                    const std::vector<uint32_t> &mutate_idx)
       : StorageFallbackOpExecutor(mutate_idx),
-        state_(state), fcompute_(fcompute), exec_type_(exec_type) {}
+        state_(std::move(state)), fcompute_(std::move(fcompute)), exec_type_(exec_type) {}
 
  private:
   OpStatePtr state_;
@@ -182,11 +184,12 @@ class StatefulComputeExExecutor : public OpExecutor {
     return state_;
   }
 
-  explicit StatefulComputeExExecutor(const NodeAttrs& attrs,
-                                     const OpStatePtr& state,
-                                     const FStatefulComputeEx& fcompute,
+  explicit StatefulComputeExExecutor(NodeAttrs  attrs,
+                                     OpStatePtr  state,
+                                     FStatefulComputeEx  fcompute,
                                      ExecType exec_type)
-      : attrs_(attrs), state_(state), fcompute_(fcompute), exec_type_(exec_type) {}
+      : attrs_(std::move(attrs)), state_(std::move(state)), fcompute_(std::move(fcompute)),
+        exec_type_(exec_type) {}
 
  private:
   NodeAttrs attrs_;
@@ -214,10 +217,10 @@ class FComputeExecutor : public StorageFallbackOpExecutor {
     return exec_type_;
   }
 
-  explicit FComputeExecutor(const NodeAttrs& attrs, FCompute fcompute,
+  explicit FComputeExecutor(NodeAttrs  attrs, FCompute fcompute,
                             ExecType exec_type, const std::vector<uint32_t> &mutate_idx)
       : StorageFallbackOpExecutor(mutate_idx),
-        attrs_(attrs), fcompute_(fcompute), exec_type_(exec_type) {
+        attrs_(std::move(attrs)), fcompute_(std::move(fcompute)), exec_type_(exec_type) {
   }
 
  private:
@@ -250,9 +253,9 @@ class FComputeExExecutor : public OpExecutor {
     return exec_type_;
   }
 
-  explicit FComputeExExecutor(const NodeAttrs& attrs, FComputeEx fcompute,
+  explicit FComputeExExecutor(NodeAttrs  attrs, FComputeEx fcompute,
                               ExecType exec_type)
-      : attrs_(attrs), fcompute_(fcompute), exec_type_(exec_type) {
+      : attrs_(std::move(attrs)), fcompute_(std::move(fcompute)), exec_type_(exec_type) {
   }
 
  private:
diff --git a/src/imperative/cached_op.cc b/src/imperative/cached_op.cc
index 7b3a5d32aac6..e0f832917203 100644
--- a/src/imperative/cached_op.cc
+++ b/src/imperative/cached_op.cc
@@ -16,6 +16,7 @@
  * specific language governing permissions and limitations
  * under the License.
  */
+#include <memory>
 #include <unordered_set>
 #include <iostream>
 #include "./imperative_utils.h"
@@ -87,8 +88,7 @@ CachedOp::CachedOp(
   SetRefCounts(&fwd_graph_, full_graph_);
 }
 
-CachedOp::~CachedOp() {
-}
+CachedOp::~CachedOp() = default;
 
 std::vector<nnvm::NodeEntry> CachedOp::Gradient(
     const nnvm::ObjectPtr& node,
@@ -1286,7 +1286,7 @@ void CachedOpParamParser(nnvm::NodeAttrs* attrs) {
     std::vector<std::pair<std::string, std::string> > flags;
     for (const auto& attr : attrs->dict)
       flags.emplace_back(attr.first, attr.second);
-    attrs->parsed = CachedOpPtr(new CachedOp(sym, flags));
+    attrs->parsed = std::make_shared<CachedOp>(sym, flags);
   }
 }
 
diff --git a/src/imperative/cached_op_threadsafe.cc b/src/imperative/cached_op_threadsafe.cc
index 744daf08564b..7d93eb84bd11 100644
--- a/src/imperative/cached_op_threadsafe.cc
+++ b/src/imperative/cached_op_threadsafe.cc
@@ -250,7 +250,7 @@ void CachedOpThreadSafeParamParser(nnvm::NodeAttrs* attrs) {
     throw dmlc::ParamError(os.str());
   }
 }
-CachedOpThreadSafe::~CachedOpThreadSafe() {}
+CachedOpThreadSafe::~CachedOpThreadSafe() = default;
 
 NNVM_REGISTER_OP(_CachedOpThreadSafe)
 .set_num_inputs([](const NodeAttrs& attrs) {
diff --git a/src/imperative/eliminate_common_expr_pass.cc b/src/imperative/eliminate_common_expr_pass.cc
index 805b6acca590..a0156da94746 100644
--- a/src/imperative/eliminate_common_expr_pass.cc
+++ b/src/imperative/eliminate_common_expr_pass.cc
@@ -184,10 +184,10 @@ void EliminateCommonNodes(Graph* g,
   // insert Copy nodes as appropriate
   const Op* copy_op = Op::Get("_copy");
   nnvm::NodeEntryMap<size_t> unique_outputs;
-  for (size_t i = 0; i < g->outputs.size(); ++i) {
-    auto kv = unique_outputs.find(g->outputs[i]);
+  for (auto & output : g->outputs) {
+    auto kv = unique_outputs.find(output);
     if (kv == unique_outputs.end()) {
-      unique_outputs.emplace(g->outputs[i], 0);
+      unique_outputs.emplace(output, 0);
     } else {
       ObjectPtr copy_node = Node::Create();
       std::ostringstream os;
@@ -196,7 +196,7 @@ void EliminateCommonNodes(Graph* g,
       copy_node->attrs.op = copy_op;
       copy_node->attrs.name = os.str();
       copy_node->inputs.emplace_back(kv->first);
-      g->outputs[i] = nnvm::NodeEntry{copy_node, 0, 0};
+      output = nnvm::NodeEntry{copy_node, 0, 0};
     }
   }
 }
diff --git a/src/imperative/imperative.cc b/src/imperative/imperative.cc
index 45fdf549b0ed..9e162d4b74ea 100644
--- a/src/imperative/imperative.cc
+++ b/src/imperative/imperative.cc
@@ -119,11 +119,11 @@ OpStatePtr Imperative::Invoke(
   SetWriteInplaceReq(inputs, outputs, &req);
   OpStatePtr ret = InvokeOp(ctx, attrs, inputs, outputs, req, dispatch_mode);
   // the followinng loop is used for finding out the correct shape when some shapes are dynamic
-  for (size_t i = 0; i < outputs.size(); i++) {
-    if (!shape_is_known(outputs[i]->shape())) {
+  for (auto output : outputs) {
+    if (!shape_is_known(output->shape())) {
       // the WaitToRead overhead here does not seem to be avoidable
-      outputs[i]->WaitToRead();
-      outputs[i]->SetShapeFromChunk();
+      output->WaitToRead();
+      output->SetShapeFromChunk();
     }
   }
   return ret;
diff --git a/src/initialize.cc b/src/initialize.cc
index a352c0a22024..784e54f9a9d7 100644
--- a/src/initialize.cc
+++ b/src/initialize.cc
@@ -23,7 +23,6 @@
  * \brief initialize mxnet library
  */
 #include "initialize.h"
-#include <signal.h>
 #include <dmlc/logging.h>
 #include <mxnet/engine.h>
 #include "./engine/openmp.h"
@@ -34,7 +33,6 @@
 #include "common/utils.h"
 #include "engine/openmp.h"
 
-
 #if defined(_WIN32) || defined(_WIN64) || defined(__WINDOWS__)
 #include <windows.h>
 /*!
@@ -57,6 +55,9 @@ void win_err(char **err) {
 #include <dlfcn.h>
 #endif
 
+#include <csignal>
+
+
 namespace mxnet {
 
 #if MXNET_USE_SIGNAL_HANDLER && DMLC_LOG_STACK_TRACE
diff --git a/src/io/batchify.cc b/src/io/batchify.cc
index 27ed850522ff..01d93f5cad8f 100644
--- a/src/io/batchify.cc
+++ b/src/io/batchify.cc
@@ -73,8 +73,8 @@ class GroupBatchify : public BatchifyFunction {
     }
   }
 
-  virtual bool Batchify(const std::vector<std::vector<NDArray> >& inputs,
-                        std::vector<NDArray>* outputs) {
+  bool Batchify(const std::vector<std::vector<NDArray> >& inputs,
+                        std::vector<NDArray>* outputs) override {
     auto bs = inputs.size();
     CHECK_GT(bs, 0) << "BatchifyFunction should handle at lease 1 sample";
     auto out_size = inputs[0].size();
@@ -84,8 +84,8 @@ class GroupBatchify : public BatchifyFunction {
     for (size_t i = 0; i < out_size; ++i) {
       std::vector<std::vector<NDArray> > inp;
       inp.reserve(inputs.size());
-      for (size_t j = 0; j < inputs.size(); ++j) {
-          std::vector<NDArray> curr({inputs[j][i]});
+      for (const auto & input : inputs) {
+          std::vector<NDArray> curr({input[i]});
           inp.emplace_back(curr);
       }
       std::vector<NDArray> tmp;
@@ -128,8 +128,8 @@ class StackBatchify : public BatchifyFunction {
     param_.InitAllowUnknown(kwargs);
   }
 
-  virtual bool Batchify(const std::vector<std::vector<NDArray> >& inputs,
-                        std::vector<NDArray>* outputs) {
+  bool Batchify(const std::vector<std::vector<NDArray> >& inputs,
+                        std::vector<NDArray>* outputs) override {
     auto out_size = SanityCheck(inputs);
     auto bs = inputs.size();
     outputs->resize(out_size);
@@ -235,8 +235,8 @@ class PadBatchify : public BatchifyFunction {
     param_.InitAllowUnknown(kwargs);
   }
 
-  virtual bool Batchify(const std::vector<std::vector<NDArray> >& inputs,
-                        std::vector<NDArray>* outputs) {
+  bool Batchify(const std::vector<std::vector<NDArray> >& inputs,
+                        std::vector<NDArray>* outputs) override {
     auto bs = inputs.size();
     CHECK_GT(bs, 0) << "BatchifyFunction should handle at lease 1 sample";
     auto out_size = inputs[0].size();
diff --git a/src/io/dataloader.cc b/src/io/dataloader.cc
index 947c26202b5c..47754470453c 100644
--- a/src/io/dataloader.cc
+++ b/src/io/dataloader.cc
@@ -63,13 +63,11 @@ DMLC_REGISTER_PARAMETER(ThreadedDataLoaderParam);
 template<typename DType = real_t>
 class ThreadedDataLoader : public IIterator<TBlobBatch> {
  public:
-  ThreadedDataLoader() {
-  }
+  ThreadedDataLoader() = default;
   // destructor
-  virtual ~ThreadedDataLoader(void) {
-  }
+  ~ThreadedDataLoader() override = default;
   // constructor
-  void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) {
+  void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override {
     param_.InitAllowUnknown(kwargs);
     int maxthread, threadget;
     #pragma omp parallel
@@ -90,15 +88,15 @@ class ThreadedDataLoader : public IIterator<TBlobBatch> {
     this->BeforeFirst();
   }
   // before first
-  void BeforeFirst(void) {
+  void BeforeFirst() override {
     sampler_->BeforeFirst();
   }
 
-  int64_t GetLenHint(void) const {
+  int64_t GetLenHint() const override {
     return sampler_->GetLenHint();
   }
 
-  bool Next(void) {
+  bool Next() override {
     bool has_next = sampler_->Next();
     if (!has_next) return false;
     auto samples = sampler_->Value();
@@ -152,7 +150,7 @@ class ThreadedDataLoader : public IIterator<TBlobBatch> {
     return true;
   }
 
-  const TBlobBatch &Value(void) const {
+  const TBlobBatch &Value() const override {
     return out_;
   }
 
diff --git a/src/io/dataset.cc b/src/io/dataset.cc
index 4c47f440150f..ba548c968b19 100644
--- a/src/io/dataset.cc
+++ b/src/io/dataset.cc
@@ -29,6 +29,7 @@
 #include <mxnet/ndarray.h>
 #include <mxnet/tensor_blob.h>
 
+#include <memory>
 #include <string>
 #include <vector>
 #include <algorithm>
@@ -75,11 +76,11 @@ class RecordFileDataset final : public Dataset {
     delete idx_stream;
   }
 
-  uint64_t GetLen() const {
+  uint64_t GetLen() const override {
     return idx_.size();
   }
 
-  bool GetItem(uint64_t idx, std::vector<NDArray>* ret) {
+  bool GetItem(uint64_t idx, std::vector<NDArray>* ret) override {
     ret->resize(1);
     auto& out = (*ret)[0];
     static thread_local std::unique_ptr<dmlc::Stream> stream;
@@ -193,11 +194,11 @@ class ImageRecordFileDataset : public Dataset {
     base_ = std::make_shared<RecordFileDataset>(kwargs);
   }
 
-  uint64_t GetLen() const {
+  uint64_t GetLen() const override {
     return base_->GetLen();
   }
 
-  bool GetItem(uint64_t idx, std::vector<NDArray>* ret) {
+  bool GetItem(uint64_t idx, std::vector<NDArray>* ret) override {
     CHECK_LT(idx, GetLen());
     std::vector<NDArray> raw;
     if (!base_->GetItem(idx, &raw)) return false;
@@ -292,11 +293,11 @@ class ImageSequenceDataset final : public Dataset {
     img_list_ = dmlc::Split(param_.img_list, param_.path_sep);
   }
 
-  uint64_t GetLen() const {
+  uint64_t GetLen() const override {
     return img_list_.size();
   }
 
-  bool GetItem(uint64_t idx, std::vector<NDArray>* ret) {
+  bool GetItem(uint64_t idx, std::vector<NDArray>* ret) override {
 #if MXNET_USE_OPENCV
     CHECK_LT(idx, img_list_.size())
       << "GetItem index: " << idx << " out of bound: " << img_list_.size();
@@ -355,11 +356,11 @@ class NDArrayDataset final : public Dataset {
     size_ = data_.shape().begin()[0];
   }
 
-  uint64_t GetLen() const {
+  uint64_t GetLen() const override {
     return size_;
   }
 
-  bool GetItem(uint64_t idx, std::vector<NDArray>* rets) {
+  bool GetItem(uint64_t idx, std::vector<NDArray>* rets) override {
     CHECK_LT(idx, size_)
       << "GetItem index: " << idx << " out of bound: " << size_;
     rets->resize(1);
@@ -430,11 +431,11 @@ class GroupDataset final : public Dataset {
     }
   }
 
-  uint64_t GetLen() const {
+  uint64_t GetLen() const override {
     return size_;
   }
 
-  bool GetItem(uint64_t idx, std::vector<NDArray>* ret) {
+  bool GetItem(uint64_t idx, std::vector<NDArray>* ret) override {
     CHECK_LT(idx, size_)
       << "GetItem index: " << idx << " out of bound: " << size_;
     ret->clear();
@@ -485,11 +486,11 @@ class IndexedDataset final : public Dataset {
     base_data_ = *static_cast<std::shared_ptr<Dataset>*>(reinterpret_cast<void*>(param_.base));
   }
 
-  uint64_t GetLen() const {
+  uint64_t GetLen() const override {
     return param_.indices.ndim();
   }
 
-  bool GetItem(uint64_t idx, std::vector<NDArray>* ret) {
+  bool GetItem(uint64_t idx, std::vector<NDArray>* ret) override {
     CHECK_GT(param_.indices.ndim(), idx) << "IndexError: " << idx
       << " from total: " << param_.indices.ndim();
     auto new_idx = param_.indices[idx];
@@ -545,15 +546,15 @@ class LazyTransformDataset final : public Dataset {
     this->pass_through_indices_ = other.pass_through_indices_;
     this->use_input_indices_ = other.use_input_indices_;
     this->num_outputs_ = other.num_outputs_;
-    this->cached_op_ = NaiveCachedOpPtr(new NaiveCachedOp(
-      other.cached_op_->sym_, other.cached_op_->flags_));
+    this->cached_op_ = std::make_shared<NaiveCachedOp>(
+      other.cached_op_->sym_, other.cached_op_->flags_);
     this->base_data_ = other.base_data_;
   }
 
   explicit LazyTransformDataset(const std::vector<std::pair<std::string, std::string> >& kwargs) {
     param_.InitAllowUnknown(kwargs);
     auto op = *static_cast<CachedOpPtr*>(reinterpret_cast<void*>(param_.cached_op));
-    cached_op_ = NaiveCachedOpPtr(new NaiveCachedOp(op->sym_, op->flags_));
+    cached_op_ = std::make_shared<NaiveCachedOp>(op->sym_, op->flags_);
     base_data_ = *static_cast<std::shared_ptr<Dataset>*>(reinterpret_cast<void*>(param_.dataset));
 
     // use first item to calculate size info
@@ -596,14 +597,13 @@ class LazyTransformDataset final : public Dataset {
     num_outputs_ = inputs.size() + cached_op_->num_outputs() - cached_op_->num_inputs();
   }
 
-  virtual ~LazyTransformDataset(void) {
-  }
+  ~LazyTransformDataset() override = default;
 
-  uint64_t GetLen() const {
+  uint64_t GetLen() const override {
     return base_data_->GetLen();
   }
 
-  bool GetItem(uint64_t idx, std::vector<NDArray>* outputs) {
+  bool GetItem(uint64_t idx, std::vector<NDArray>* outputs) override {
     std::vector<NDArray> inputs;
     if (!base_data_->GetItem(idx, &inputs)) return false;
     outputs->reserve(num_outputs_);
@@ -616,8 +616,8 @@ class LazyTransformDataset final : public Dataset {
     std::vector<NDArray*> ndinputs;
     std::vector<NDArray*> ndoutputs;
     ndinputs.reserve(inputs.size());
-    for (size_t i = 0; i < use_input_indices_.size(); ++i) {
-      ndinputs.emplace_back(&(inputs[use_input_indices_[i]]));
+    for (int use_input_indice : use_input_indices_) {
+      ndinputs.emplace_back(&(inputs[use_input_indice]));
     }
     ndoutputs.reserve(cached_op_->num_outputs());
     CHECK_LE(cached_op_->num_outputs(), outputs->size());
@@ -625,8 +625,8 @@ class LazyTransformDataset final : public Dataset {
       ndoutputs.emplace_back(&(outputs->at(i)));
     }
 
-    for (size_t i = 0; i < inputs.size(); ++i) {
-      inputs[i].WaitToRead();
+    for (auto & input : inputs) {
+      input.WaitToRead();
     }
     CHECK(inputs.size() > 0) << "dataset getitem requires at least one input";
     Context default_ctx = inputs[0].ctx();
diff --git a/src/io/image_aug_default.cc b/src/io/image_aug_default.cc
index c26ebf857a41..c39777ba3054 100644
--- a/src/io/image_aug_default.cc
+++ b/src/io/image_aug_default.cc
@@ -205,7 +205,7 @@ std::vector<dmlc::ParamFieldInfo> ListDefaultAugParams() {
 class DefaultImageAugmenter : public ImageAugmenter {
  public:
   // contructor
-  DefaultImageAugmenter() {}
+  DefaultImageAugmenter() = default;
   void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override {
     std::vector<std::pair<std::string, std::string> > kwargs_left;
     kwargs_left = param_.InitAllowUnknown(kwargs);
diff --git a/src/io/image_det_aug_default.cc b/src/io/image_det_aug_default.cc
index f602a63954a3..6b3109fbce19 100644
--- a/src/io/image_det_aug_default.cc
+++ b/src/io/image_det_aug_default.cc
@@ -404,7 +404,7 @@ class ImageDetLabel {
 class DefaultImageDetAugmenter : public ImageAugmenter {
  public:
   // contructor
-  DefaultImageDetAugmenter() {}
+  DefaultImageDetAugmenter() = default;
 
   void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override {
     std::vector<std::pair<std::string, std::string> > kwargs_left;
diff --git a/src/io/iter_csv.cc b/src/io/iter_csv.cc
index 0c1b82355410..87f295df544f 100644
--- a/src/io/iter_csv.cc
+++ b/src/io/iter_csv.cc
@@ -62,16 +62,16 @@ class CSVIterBase: public IIterator<DataInst> {
   CSVIterBase() {
     out_.data.resize(2);
   }
-  virtual ~CSVIterBase() {}
+  ~CSVIterBase() override = default;
 
   // initialize iterator loads data in
-  virtual void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) = 0;
+  void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override = 0;
   /*! \brief reset the iterator */
-  virtual void BeforeFirst(void) = 0;
+  void BeforeFirst() override = 0;
   /*! \brief move to next item */
-  virtual bool Next(void) = 0;
+  bool Next() override = 0;
   /*! \brief get current data */
-  virtual const DataInst &Value(void) const {
+  const DataInst &Value() const override {
     return out_;
   }
 
@@ -93,9 +93,9 @@ class CSVIterBase: public IIterator<DataInst> {
 template <typename DType>
 class CSVIterTyped: public CSVIterBase {
  public:
-  virtual ~CSVIterTyped() {}
+  ~CSVIterTyped() override = default;
   // intialize iterator loads data in
-  virtual void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) {
+  void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override {
     param_.InitAllowUnknown(kwargs);
     data_parser_.reset(dmlc::Parser<uint32_t, DType>::Create(param_.data_csv.c_str(), 0, 1, "csv"));
     if (param_.label_csv != "NULL") {
@@ -108,7 +108,7 @@ class CSVIterTyped: public CSVIterBase {
     }
   }
 
-  virtual void BeforeFirst() {
+  void BeforeFirst() override {
     data_parser_->BeforeFirst();
     if (label_parser_.get() != nullptr) {
       label_parser_->BeforeFirst();
@@ -119,7 +119,7 @@ class CSVIterTyped: public CSVIterBase {
     end_ = false;
   }
 
-  virtual bool Next() {
+  bool Next() override {
     if (end_) return false;
     while (data_ptr_ >= data_size_) {
       if (!data_parser_->Next()) {
@@ -163,11 +163,11 @@ class CSVIterTyped: public CSVIterBase {
 
 class CSVIter: public IIterator<DataInst> {
  public:
-  CSVIter() {}
-  virtual ~CSVIter() {}
+  CSVIter() = default;
+  ~CSVIter() override = default;
 
   // intialize iterator loads data in
-  virtual void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) {
+  void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override {
     param_.InitAllowUnknown(kwargs);
     bool dtype_has_value = false;
     int target_dtype = -1;
@@ -195,15 +195,15 @@ class CSVIter: public IIterator<DataInst> {
     iterator_->Init(kwargs);
   }
 
-  virtual void BeforeFirst() {
+  void BeforeFirst() override {
     iterator_->BeforeFirst();
   }
 
-  virtual bool Next() {
+  bool Next() override {
     return iterator_->Next();
   }
 
-  virtual const DataInst &Value(void) const {
+  const DataInst &Value() const override {
     return iterator_->Value();
   }
 
diff --git a/src/io/iter_image_det_recordio.cc b/src/io/iter_image_det_recordio.cc
index 876c07520f52..3fe0ec7f3e17 100644
--- a/src/io/iter_image_det_recordio.cc
+++ b/src/io/iter_image_det_recordio.cc
@@ -32,6 +32,7 @@
 #include <dmlc/parameter.h>
 #include <dmlc/recordio.h>
 #include <dmlc/threadediter.h>
+#include <memory>
 #include <unordered_map>
 #include <vector>
 #include <cstdlib>
@@ -213,7 +214,7 @@ class ImageDetRecordIOParser {
   inline void Init(const std::vector<std::pair<std::string, std::string> >& kwargs);
 
   // set record to the head
-  inline void BeforeFirst(void) {
+  inline void BeforeFirst() {
     return source_->BeforeFirst();
   }
   // parse next set of records, return an array of
@@ -273,8 +274,8 @@ inline void ImageDetRecordIOParser<DType>::Init(
     prnds_.emplace_back(new common::RANDOM_ENGINE((i + 1) * kRandMagic));
   }
   if (param_.path_imglist.length() != 0) {
-    label_map_.reset(new ImageDetLabelMap(param_.path_imglist.c_str(),
-      param_.label_width, !param_.verbose));
+    label_map_ = std::make_unique<ImageDetLabelMap>(param_.path_imglist.c_str(),
+      param_.label_width, !param_.verbose);
   }
   CHECK(param_.path_imgrec.length() != 0)
       << "ImageDetRecordIOIterator: must specify image_rec";
@@ -510,12 +511,12 @@ class ImageDetRecordIter : public IIterator<DataInst> {
  public:
   ImageDetRecordIter() : data_(nullptr) { }
   // destructor
-  virtual ~ImageDetRecordIter(void) {
+  ~ImageDetRecordIter() override {
     iter_.Destroy();
     delete data_;
   }
   // constructor
-  virtual void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) {
+  void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override {
     param_.InitAllowUnknown(kwargs);
     // use the kwarg to init parser
     parser_.Init(kwargs);
@@ -533,13 +534,13 @@ class ImageDetRecordIter : public IIterator<DataInst> {
     rnd_.seed(kRandMagic + param_.seed);
   }
   // before first
-  virtual void BeforeFirst(void) {
+  void BeforeFirst() override {
     iter_.BeforeFirst();
     inst_order_.clear();
     inst_ptr_ = 0;
   }
 
-  virtual bool Next(void) {
+  bool Next() override {
     while (true) {
       if (inst_ptr_ < inst_order_.size()) {
         std::pair<unsigned, unsigned> p = inst_order_[inst_ptr_];
@@ -553,7 +554,7 @@ class ImageDetRecordIter : public IIterator<DataInst> {
         for (unsigned i = 0; i < data_->size(); ++i) {
           const InstVector<DType>& tmp = (*data_)[i];
           for (unsigned j = 0; j < tmp.Size(); ++j) {
-            inst_order_.push_back(std::make_pair(i, j));
+            inst_order_.emplace_back(i, j);
           }
         }
         // shuffle instance order if needed
@@ -566,7 +567,7 @@ class ImageDetRecordIter : public IIterator<DataInst> {
     return false;
   }
 
-  virtual const DataInst &Value(void) const {
+  const DataInst &Value() const override {
     return out_;
   }
 
diff --git a/src/io/iter_image_recordio.cc b/src/io/iter_image_recordio.cc
index 066cad973774..23008050ec28 100644
--- a/src/io/iter_image_recordio.cc
+++ b/src/io/iter_image_recordio.cc
@@ -32,6 +32,7 @@
 #include <dmlc/parameter.h>
 #include <dmlc/recordio.h>
 #include <dmlc/threadediter.h>
+#include <memory>
 #include <unordered_map>
 #include <vector>
 #include <cstdlib>
@@ -53,7 +54,7 @@ class ImageRecordIOParser {
   inline void Init(const std::vector<std::pair<std::string, std::string> >& kwargs);
 
   // set record to the head
-  inline void BeforeFirst(void) {
+  inline void BeforeFirst() {
     return source_->BeforeFirst();
   }
   // parse next set of records, return an array of
@@ -111,8 +112,8 @@ inline void ImageRecordIOParser<DType>::Init(
     prnds_.emplace_back(new common::RANDOM_ENGINE((i + 1) * kRandMagic));
   }
   if (param_.path_imglist.length() != 0) {
-    label_map_.reset(new ImageLabelMap(param_.path_imglist.c_str(),
-      param_.label_width, !param_.verbose));
+    label_map_ = std::make_unique<ImageLabelMap>(param_.path_imglist.c_str(),
+      param_.label_width, !param_.verbose);
   }
   CHECK(param_.path_imgrec.length() != 0)
       << "ImageRecordIOIterator: must specify image_rec";
@@ -253,12 +254,12 @@ class ImageRecordIter : public IIterator<DataInst> {
  public:
   ImageRecordIter() : data_(nullptr) { }
   // destructor
-  virtual ~ImageRecordIter(void) {
+  ~ImageRecordIter() override {
     iter_.Destroy();
     delete data_;
   }
   // constructor
-  virtual void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) {
+  void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override {
     param_.InitAllowUnknown(kwargs);
     // use the kwarg to init parser
     parser_.Init(kwargs);
@@ -276,13 +277,13 @@ class ImageRecordIter : public IIterator<DataInst> {
     rnd_.seed(kRandMagic + param_.seed);
   }
   // before first
-  virtual void BeforeFirst(void) {
+  void BeforeFirst() override {
     iter_.BeforeFirst();
     inst_order_.clear();
     inst_ptr_ = 0;
   }
 
-  virtual bool Next(void) {
+  bool Next() override {
     while (true) {
       if (inst_ptr_ < inst_order_.size()) {
         std::pair<unsigned, unsigned> p = inst_order_[inst_ptr_];
@@ -296,7 +297,7 @@ class ImageRecordIter : public IIterator<DataInst> {
         for (unsigned i = 0; i < data_->size(); ++i) {
           const InstVector<DType>& tmp = (*data_)[i];
           for (unsigned j = 0; j < tmp.Size(); ++j) {
-            inst_order_.push_back(std::make_pair(i, j));
+            inst_order_.emplace_back(i, j);
           }
         }
         // shuffle instance order if needed
@@ -309,7 +310,7 @@ class ImageRecordIter : public IIterator<DataInst> {
     return false;
   }
 
-  virtual const DataInst &Value(void) const {
+  const DataInst &Value() const override {
     return out_;
   }
 
diff --git a/src/io/iter_image_recordio_2.cc b/src/io/iter_image_recordio_2.cc
index ad6e2a19fbc2..f4f88b76d65c 100644
--- a/src/io/iter_image_recordio_2.cc
+++ b/src/io/iter_image_recordio_2.cc
@@ -33,6 +33,7 @@
 #include <dmlc/omp.h>
 #include <dmlc/common.h>
 #include <dmlc/timer.h>
+#include <memory>
 #include <type_traits>
 #if MXNET_USE_LIBJPEG_TURBO
 #include <turbojpeg.h>
@@ -55,7 +56,7 @@ class ImageRecordIOParser2 {
   inline void Init(const std::vector<std::pair<std::string, std::string> >& kwargs);
 
   // set record to the head
-  inline void BeforeFirst(void) {
+  inline void BeforeFirst() {
     if (batch_param_.round_batch == 0 || !overflow) {
       n_parsed_ = 0;
       return source_->BeforeFirst();
@@ -79,7 +80,7 @@ class ImageRecordIOParser2 {
 #endif
   inline size_t ParseChunk(DType* data_dptr, real_t* label_dptr, const size_t current_size,
     dmlc::InputSplit::Blob * chunk);
-  inline void CreateMeanImg(void);
+  inline void CreateMeanImg();
 
   // magic number to seed prng
   static const int kRandMagic = 111;
@@ -169,8 +170,8 @@ inline void ImageRecordIOParser2<DType>::Init(
     prnds_.emplace_back(new common::RANDOM_ENGINE((i + 1) * kRandMagic));
   }
   if (param_.path_imglist.length() != 0) {
-    label_map_.reset(new ImageLabelMap(param_.path_imglist.c_str(),
-      param_.label_width, !param_.verbose));
+    label_map_ = std::make_unique<ImageLabelMap>(param_.path_imglist.c_str(),
+      param_.label_width, !param_.verbose);
   }
   CHECK(param_.path_imgrec.length() != 0)
       << "ImageRecordIter2: must specify image_rec";
@@ -665,7 +666,7 @@ inline size_t ImageRecordIOParser2<DType>::ParseChunk(DType* data_dptr, real_t*
 
 // create mean image.
 template<typename DType>
-inline void ImageRecordIOParser2<DType>::CreateMeanImg(void) {
+inline void ImageRecordIOParser2<DType>::CreateMeanImg() {
     if (param_.verbose) {
       LOG(INFO) << "Cannot find " << normalize_param_.mean_img
                 << ": create mean image, this will take some time...";
@@ -677,8 +678,7 @@ inline void ImageRecordIOParser2<DType>::CreateMeanImg(void) {
       inst_order_.clear();
       // Parse chunk w/o putting anything in out
       ParseChunk(nullptr, nullptr, batch_param_.batch_size, &chunk);
-      for (size_t i = 0; i < inst_order_.size(); ++i) {
-        std::pair<size_t, size_t> place = inst_order_[i];
+      for (auto place : inst_order_) {
         mshadow::Tensor<cpu, 3> outimg =
           temp_[place.first][place.second].data[0].template get<cpu, 3, real_t>();
         if (imcnt == 0) {
@@ -714,13 +714,13 @@ inline void ImageRecordIOParser2<DType>::CreateMeanImg(void) {
 template<typename DType = real_t>
 class ImageRecordIter2 : public IIterator<DataBatch> {
  public:
-    ImageRecordIter2() : out_(nullptr) { }
+    ImageRecordIter2()  = default;
 
-    virtual ~ImageRecordIter2(void) {
+    ~ImageRecordIter2() override {
       iter_.Destroy();
     }
 
-    virtual void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) {
+    void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override {
       prefetch_param_.InitAllowUnknown(kwargs);
       parser_.Init(kwargs);
       // maximum prefetch threaded iter internal size
@@ -737,12 +737,12 @@ class ImageRecordIter2 : public IIterator<DataBatch> {
           [this]() { parser_.BeforeFirst(); });
     }
 
-    virtual void BeforeFirst(void) {
+    void BeforeFirst() override {
       iter_.BeforeFirst();
     }
 
     // From iter_prefetcher.h
-    virtual bool Next(void) {
+    bool Next() override {
       if (out_ != nullptr) {
         recycle_queue_.push(out_); out_ = nullptr;
       }
@@ -759,7 +759,7 @@ class ImageRecordIter2 : public IIterator<DataBatch> {
       return iter_.Next(&out_);
     }
 
-    virtual const DataBatch &Value(void) const {
+    const DataBatch &Value() const override {
       return *out_;
     }
 
@@ -769,7 +769,7 @@ class ImageRecordIter2 : public IIterator<DataBatch> {
     /*! \brief Parameters */
     PrefetcherParam prefetch_param_;
     /*! \brief output data */
-    DataBatch *out_;
+    DataBatch *out_{nullptr};
     /*! \brief queue to be recycled */
     std::queue<DataBatch*> recycle_queue_;
     /* \brief parser */
@@ -784,19 +784,19 @@ class ImageRecordIter2CPU : public IIterator<DataBatch> {
     var_ = Engine::Get()->NewVariable();
   }
 
-  virtual ~ImageRecordIter2CPU(void) {
+  ~ImageRecordIter2CPU() override {
     Engine::Get()->DeleteVariable([](mxnet::RunContext ctx) {}, Context::CPU(), var_);
     delete out_;
   }
 
-  virtual void Init(const std::vector<std::pair<std::string, std::string>>& kwargs) {
+  void Init(const std::vector<std::pair<std::string, std::string>>& kwargs) override {
     parser_.Init(kwargs);
   }
 
-  virtual void BeforeFirst(void) { parser_.BeforeFirst(); }
+  void BeforeFirst() override { parser_.BeforeFirst(); }
 
   // From iter_prefetcher.h
-  virtual bool Next(void) {
+  bool Next() override {
     bool result = false;
     const auto engine = Engine::Get();
     engine->PushSync(
@@ -808,7 +808,7 @@ class ImageRecordIter2CPU : public IIterator<DataBatch> {
     return result;
   }
 
-  virtual const DataBatch& Value(void) const { return *out_; }
+  const DataBatch& Value() const override { return *out_; }
 
  private:
   /*! \brief Backend thread */
@@ -824,7 +824,7 @@ class ImageRecordIter2CPU : public IIterator<DataBatch> {
 
 class ImageRecordIter2Wrapper : public IIterator<DataBatch> {
  public:
-  ~ImageRecordIter2Wrapper(void) override {
+  ~ImageRecordIter2Wrapper() override {
     if (record_iter_) delete record_iter_;
   }
   void Init(const std::vector<std::pair<std::string, std::string>>& kwargs) override {
@@ -869,14 +869,14 @@ class ImageRecordIter2Wrapper : public IIterator<DataBatch> {
     record_iter_->Init(kwargs);
     }
 
-    void BeforeFirst(void) override {
+    void BeforeFirst() override {
       record_iter_->BeforeFirst();
     }
 
     // From iter_prefetcher.h
-    bool Next(void) override { return record_iter_->Next(); }
+    bool Next() override { return record_iter_->Next(); }
 
-    const DataBatch &Value(void) const override {
+    const DataBatch &Value() const override {
       return record_iter_->Value();
     }
 
diff --git a/src/io/iter_libsvm.cc b/src/io/iter_libsvm.cc
index 3decc7b33e04..0965bfc5192e 100644
--- a/src/io/iter_libsvm.cc
+++ b/src/io/iter_libsvm.cc
@@ -66,11 +66,11 @@ struct LibSVMIterParam : public dmlc::Parameter<LibSVMIterParam> {
 
 class LibSVMIter: public SparseIIterator<DataInst> {
  public:
-  LibSVMIter() {}
-  virtual ~LibSVMIter() {}
+  LibSVMIter() = default;
+  ~LibSVMIter() override = default;
 
   // intialize iterator loads data in
-  virtual void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) {
+  void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override {
     param_.InitAllowUnknown(kwargs);
     CHECK_EQ(param_.data_shape.ndim(), 1) << "dimension of data_shape is expected to be 1";
     CHECK_GT(param_.num_parts, 0) << "number of parts should be positive";
@@ -97,7 +97,7 @@ class LibSVMIter: public SparseIIterator<DataInst> {
     }
   }
 
-  virtual void BeforeFirst() {
+  void BeforeFirst() override {
     data_parser_->BeforeFirst();
     if (label_parser_.get() != nullptr) {
       label_parser_->BeforeFirst();
@@ -108,7 +108,7 @@ class LibSVMIter: public SparseIIterator<DataInst> {
     end_ = false;
   }
 
-  virtual bool Next() {
+  bool Next() override {
     if (end_) return false;
     while (data_ptr_ >= data_size_) {
       if (!data_parser_->Next()) {
@@ -144,16 +144,16 @@ class LibSVMIter: public SparseIIterator<DataInst> {
     return true;
   }
 
-  virtual const DataInst &Value(void) const {
+  const DataInst &Value() const override {
     return out_;
   }
 
-  virtual const NDArrayStorageType GetStorageType(bool is_data) const {
+  const NDArrayStorageType GetStorageType(bool is_data) const override {
     if (is_data) return kCSRStorage;
     return param_.label_shape.Size() > 1 ? kCSRStorage : kDefaultStorage;
   }
 
-  virtual const mxnet::TShape GetShape(bool is_data) const {
+  const mxnet::TShape GetShape(bool is_data) const override {
     if (is_data) return param_.data_shape;
     return param_.label_shape;
   }
diff --git a/src/io/iter_mnist.cc b/src/io/iter_mnist.cc
index b752ce48d417..0d5f96c0e193 100644
--- a/src/io/iter_mnist.cc
+++ b/src/io/iter_mnist.cc
@@ -79,15 +79,15 @@ struct MNISTParam : public dmlc::Parameter<MNISTParam> {
 
 class MNISTIter: public IIterator<TBlobBatch> {
  public:
-  MNISTIter(void) : loc_(0), inst_offset_(0) {
+  MNISTIter()  {
     img_.dptr_ = nullptr;
     out_.data.resize(2);
   }
-  virtual ~MNISTIter(void) {
+  ~MNISTIter() override {
     delete []img_.dptr_;
   }
   // intialize iterator loads data in
-  virtual void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) {
+  void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override {
     std::map<std::string, std::string> kmap(kwargs.begin(), kwargs.end());
     param_.InitAllowUnknown(kmap);
     this->LoadImage();
@@ -115,10 +115,10 @@ class MNISTIter: public IIterator<TBlobBatch> {
       }
     }
   }
-  virtual void BeforeFirst(void) {
+  void BeforeFirst() override {
     this->loc_ = 0;
   }
-  virtual bool Next(void) {
+  bool Next() override {
     if (loc_ + param_.batch_size <= img_.size(0)) {
       batch_data_.dptr_ = img_[loc_].dptr_;
       batch_label_.dptr_ = &labels_[loc_];
@@ -135,7 +135,7 @@ class MNISTIter: public IIterator<TBlobBatch> {
       return false;
     }
   }
-  virtual const TBlobBatch &Value(void) const {
+  const TBlobBatch &Value() const override {
     return out_;
   }
 
@@ -151,7 +151,7 @@ class MNISTIter: public IIterator<TBlobBatch> {
         static_cast<double>(count) / param_.num_parts * (param_.part_index+1));
   }
 
-  inline void LoadImage(void) {
+  inline void LoadImage() {
     dmlc::SeekStream* stdimg
         = dmlc::SeekStream::CreateForRead(param_.image.c_str());
     ReadInt(stdimg);
@@ -184,7 +184,7 @@ class MNISTIter: public IIterator<TBlobBatch> {
     img_ *= 1.0f / 256.0f;
     delete stdimg;
   }
-  inline void LoadLabel(void) {
+  inline void LoadLabel() {
     dmlc::SeekStream* stdlabel
         = dmlc::SeekStream::CreateForRead(param_.label.c_str());
     ReadInt(stdlabel);
@@ -206,7 +206,7 @@ class MNISTIter: public IIterator<TBlobBatch> {
     }
     delete stdlabel;
   }
-  inline void Shuffle(void) {
+  inline void Shuffle() {
     std::shuffle(inst_.begin(), inst_.end(), common::RANDOM_ENGINE(kRandMagic + param_.seed));
     std::vector<float> tmplabel(labels_.size());
     mshadow::TensorContainer<cpu, 3> tmpimg(img_.shape_);
@@ -238,7 +238,7 @@ class MNISTIter: public IIterator<TBlobBatch> {
   /*! \brief output */
   TBlobBatch out_;
   /*! \brief current location */
-  index_t loc_;
+  index_t loc_{0};
   /*! \brief image content */
   mshadow::Tensor<cpu, 3> img_;
   /*! \brief label content */
@@ -248,7 +248,7 @@ class MNISTIter: public IIterator<TBlobBatch> {
   /*! \brief batch label tensor  */
   mshadow::Tensor<cpu, 2> batch_label_;
   /*! \brief instance index offset */
-  unsigned inst_offset_;
+  unsigned inst_offset_{0};
   /*! \brief instance index */
   std::vector<unsigned> inst_;
   // magic number to setup randomness
diff --git a/src/io/iter_sampler.cc b/src/io/iter_sampler.cc
index 932bcc9fe38e..049347dfd9cf 100644
--- a/src/io/iter_sampler.cc
+++ b/src/io/iter_sampler.cc
@@ -27,6 +27,7 @@
 #include <mxnet/io.h>
 #include <mxnet/base.h>
 #include <mxnet/resource.h>
+#include <memory>
 #include <numeric>
 #include "../common/utils.h"
 #include "./iter_batchloader.h"
@@ -52,22 +53,22 @@ DMLC_REGISTER_PARAMETER(SequentialSamplerParam);
 
 class SequentialSampler : public IIterator<DataInst> {
  public:
-  virtual void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) {
+  void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override {
     param_.InitAllowUnknown(kwargs);
     indices_.resize(param_.length);
     std::iota(std::begin(indices_), std::end(indices_), 0);  // fill like arange
     out_.data.resize(1);
   }
 
-  virtual void BeforeFirst(void) {
+  void BeforeFirst() override {
     pos_ = 0;
   }
 
-  virtual int64_t GetLenHint(void) const {
+  int64_t GetLenHint() const override {
     return static_cast<int64_t>(indices_.size());
   }
 
-  virtual bool Next(void) {
+  bool Next() override {
     if (pos_ < indices_.size()) {
       int64_t *ptr = indices_.data() + pos_;
       out_.data[0] = TBlob(ptr, TShape({1, }), cpu::kDevMask, 0);
@@ -77,7 +78,7 @@ class SequentialSampler : public IIterator<DataInst> {
     return false;
   }
 
-  virtual const DataInst &Value(void) const {
+  const DataInst &Value() const override {
     return out_;
   }
 
@@ -117,27 +118,27 @@ DMLC_REGISTER_PARAMETER(RandomSamplerParam);
 
 class RandomSampler : public IIterator<DataInst> {
  public:
-  virtual void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) {
+  void Init(const std::vector<std::pair<std::string, std::string> >& kwargs) override {
     param_.InitAllowUnknown(kwargs);
     indices_.resize(param_.length);
     std::iota(std::begin(indices_), std::end(indices_), 0);  // fill like arange
     mshadow::Random<cpu> *ctx_rng = ResourceManager::Get()->Request(
       Context::CPU(), ResourceRequest::kRandom).get_random<cpu, real_t>(nullptr);
-    rng_.reset(new common::RANDOM_ENGINE(ctx_rng->GetSeed()));
+    rng_ = std::make_unique<common::RANDOM_ENGINE>(ctx_rng->GetSeed());
     out_.data.resize(1);
     BeforeFirst();
   }
 
-  virtual void BeforeFirst(void) {
+  void BeforeFirst() override {
     std::shuffle(std::begin(indices_), std::end(indices_), *rng_);
     pos_ = 0;
   }
 
-  virtual int64_t GetLenHint(void) const {
+  int64_t GetLenHint() const override {
     return static_cast<int64_t>(indices_.size());
   }
 
-  virtual bool Next(void) {
+  bool Next() override {
     if (pos_ < indices_.size()) {
       int64_t *ptr = indices_.data() + pos_;
       out_.data[0] = TBlob(ptr, TShape({1, }), cpu::kDevMask, 0);
@@ -147,7 +148,7 @@ class RandomSampler : public IIterator<DataInst> {
     return false;
   }
 
-  virtual const DataInst &Value(void) const {
+  const DataInst &Value() const override {
     return out_;
   }
  private:
diff --git a/src/kvstore/kvstore.cc b/src/kvstore/kvstore.cc
index fa3f91097ba6..87daad60ccc2 100644
--- a/src/kvstore/kvstore.cc
+++ b/src/kvstore/kvstore.cc
@@ -23,7 +23,6 @@
  * \brief implement kv_store
  */
 #include <mxnet/kvstore.h>
-#include <stdlib.h>
 #include <dmlc/logging.h>
 #include "./kvstore_local.h"
 
@@ -36,6 +35,8 @@ std::atomic<int> mxnet::kvstore::KVStoreDist::customer_id_{0};
 #include "./kvstore_nccl.h"
 #endif  // MXNET_USE_NCCL
 
+#include <cstdlib>
+
 namespace mxnet {
 
 KVStore* KVStore::Create(const char *type_name) {
diff --git a/src/libinfo.cc b/src/libinfo.cc
index 211444e857d2..d14aaf5769b2 100644
--- a/src/libinfo.cc
+++ b/src/libinfo.cc
@@ -84,7 +84,6 @@ class FeatureSet {
     feature_bits.set(OPENCV, MXNET_USE_OPENCV);
 
     // Misc
-    feature_bits.set(CAFFE, MXNET_USE_CAFFE);
     feature_bits.set(DIST_KVSTORE, MXNET_USE_DIST_KVSTORE);
     feature_bits.set(INT64_TENSOR_SIZE, MXNET_USE_INT64_TENSOR_SIZE);
     feature_bits.set(SIGNAL_HANDLER, MXNET_USE_SIGNAL_HANDLER);
@@ -155,9 +154,7 @@ const std::vector<std::string> EnumNames::names = {
   "LAPACK",
   "MKLDNN",
   "OPENCV",
-  "CAFFE",
   "DIST_KVSTORE",
-  "CXX14",
   "INT64_TENSOR_SIZE",
   "SIGNAL_HANDLER",
   "DEBUG",
diff --git a/src/nnvm/gradient.cc b/src/nnvm/gradient.cc
index 09c02b2aa26f..447f658890d8 100644
--- a/src/nnvm/gradient.cc
+++ b/src/nnvm/gradient.cc
@@ -168,8 +168,8 @@ Graph Gradient(Graph src) {
   // information is needed in later stages to determine whether putting a node
   // on the mirror path can be beneficial or not.
   using mxnet::ShapeVector;
-  ShapeVector in_arg_shapes = std::move(src.GetAttr<ShapeVector>("in_arg_shapes"));
-  DTypeVector in_arg_dtypes = std::move(src.GetAttr<DTypeVector>("in_arg_dtypes"));
+  ShapeVector in_arg_shapes = src.GetAttr<ShapeVector>("in_arg_shapes");
+  DTypeVector in_arg_dtypes = src.GetAttr<DTypeVector>("in_arg_dtypes");
   src = mxnet::exec::InferShape(std::move(src), std::move(in_arg_shapes), "__shape__");
   src = mxnet::exec::InferType(std::move(src), std::move(in_arg_dtypes), "__dtype__");
   CHECK(src.GetAttr<size_t>("shape_num_unknown_nodes") == 0U);
@@ -583,8 +583,7 @@ Graph BuildGradientGraph(
     // gather all the output gradient entries and apply the aggregation function
     out_agg_grads.clear();
     auto& out_grad_vec = output_grads.at(src_fwd_node.get());
-    for (uint32_t i = 0; i < out_grad_vec.size(); ++i) {
-      GradEntry& e = out_grad_vec[i];
+    for (auto & e : out_grad_vec) {
       e.sum = agg_fun(std::move(e.grads));
       out_agg_grads.push_back(e.sum);
     }
@@ -698,7 +697,7 @@ Graph BuildGradientGraph(
 
 // register pass
 NNVM_REGISTER_PASS(MXGradient)
-.describe("Return a gradient graph of src.attrs[\"ys\"] wrt src.attrs[\"xs\"]")
+.describe(R"(Return a gradient graph of src.attrs["ys"] wrt src.attrs["xs"])")
 .set_body(Gradient)
 .set_change_graph(true)
 .depend_graph_attr("grad_ys")
diff --git a/src/nnvm/graph_editor.cc b/src/nnvm/graph_editor.cc
index 2d2053c536d0..44a807eda174 100644
--- a/src/nnvm/graph_editor.cc
+++ b/src/nnvm/graph_editor.cc
@@ -27,6 +27,8 @@
 #include <nnvm/graph.h>
 #include <nnvm/node.h>
 
+#include <utility>
+
 namespace nnvm {
 ObjectPtr CreateVariableNode(const std::string& name);
 }
@@ -67,7 +69,7 @@ bool CutGraphInputs(const std::vector<nnvm::NodeEntry *> &input_entries,
                     bool skip_var, std::vector<nnvm::NodeEntry> *orig_entries) {
   struct pred_entry {
     nnvm::NodeEntry e;
-    explicit pred_entry(const nnvm::NodeEntry &_e): e(_e) {}
+    explicit pred_entry(nnvm::NodeEntry _e): e(std::move(_e)) {}
     bool operator()(const nnvm::NodeEntry e1) {
       return e.node == e1.node && e.index == e1.index;
     }
diff --git a/src/nnvm/low_precision_pass.cc b/src/nnvm/low_precision_pass.cc
index 66ec59d44f19..a13344dfccf5 100644
--- a/src/nnvm/low_precision_pass.cc
+++ b/src/nnvm/low_precision_pass.cc
@@ -134,11 +134,10 @@ static bool CheckConditionalFP32(
       auto it_params = it->second;
       // For each param name, iterate through param values to check
       // if the provided param name is equal to any of the values
-      for (auto it_param = it_params.begin(); it_param != it_params.end();
-           it_param++) {
-        auto param_key = node->attrs.dict.find(it_param->first);
+      for (auto & it_param : it_params) {
+        auto param_key = node->attrs.dict.find(it_param.first);
         if (param_key != node->attrs.dict.end()) {
-          auto it_param_vals = it_param->second;
+          auto it_param_vals = it_param.second;
           if (std::find(it_param_vals.begin(), it_param_vals.end(),
                         param_key->second) != it_param_vals.end()) {
             return true;
@@ -282,13 +281,13 @@ Graph ReducePrecision(Graph &&src) {
           << "can't handle the widest_dtype_ops with mutable inputs.";
       int out_dtype = target_dtype;
       bool have_unknown_dtype = false;
-      for (size_t i = 0; i < node->inputs.size(); ++i) {
+      for (auto & input : node->inputs) {
         // Try to infer output dtype based on input dtype
-        if (!mirror_target_dtype_map.count(node->inputs[i])
-            && !mirror_fp32_map.count(node->inputs[i])) {
+        if (!mirror_target_dtype_map.count(input)
+            && !mirror_fp32_map.count(input)) {
           have_unknown_dtype = true;
           break;
-        } else if (mirror_fp32_map.count(node->inputs[i])) {
+        } else if (mirror_fp32_map.count(input)) {
           out_dtype = mshadow::kFloat32;
         }
       }
diff --git a/src/nnvm/tvm_bridge.cc b/src/nnvm/tvm_bridge.cc
index 17e05e3316cd..66e010a4e534 100644
--- a/src/nnvm/tvm_bridge.cc
+++ b/src/nnvm/tvm_bridge.cc
@@ -40,6 +40,7 @@
 #include <mxnet/engine.h>
 
 #include <memory>
+#include <utility>
 
 namespace mxnet {
 
@@ -55,7 +56,7 @@ class TVMFunctor {
  public:
   // constructor
   explicit TVMFunctor(PackedFunc func, PackedFunc fset_stream)
-      : func_(func), fset_stream_(fset_stream) {}
+      : func_(std::move(func)), fset_stream_(std::move(fset_stream)) {}
 
   void Init(const TVMArgs& args,
             const std::vector<int>& const_loc,
diff --git a/src/operator/contrib/boolean_mask.cc b/src/operator/contrib/boolean_mask.cc
index a4e924eb3446..882984430d52 100644
--- a/src/operator/contrib/boolean_mask.cc
+++ b/src/operator/contrib/boolean_mask.cc
@@ -68,8 +68,8 @@ bool BooleanMaskBackStorageType(const nnvm::NodeAttrs& attrs,
   for (int &attr : *out_attrs) {
     attr = kDefaultStorage;
   }
-  for (size_t i = 0; i < out_attrs->size(); i++)
-    out_attrs->at(i) = kDefaultStorage;
+  for (int & out_attr : *out_attrs)
+    out_attr = kDefaultStorage;
   *dispatch_mode = DispatchMode::kFComputeEx;
   return true;
 }
diff --git a/src/operator/contrib/dgl_graph.cc b/src/operator/contrib/dgl_graph.cc
index 89bee8abf655..c8e27f38d1a6 100644
--- a/src/operator/contrib/dgl_graph.cc
+++ b/src/operator/contrib/dgl_graph.cc
@@ -26,6 +26,7 @@
 #include <dmlc/optional.h>
 #include <algorithm>
 #include <random>
+#include <utility>
 
 #include "../elemwise_op_common.h"
 #include "../../imperative/imperative_utils.h"
@@ -63,7 +64,7 @@ class ArrayHeap {
       }
     }
   }
-  ~ArrayHeap() {}
+  ~ArrayHeap() = default;
 
   /*
    * Remove term from index (this costs O(log m) steps)
@@ -417,8 +418,8 @@ static void RandomSample(size_t set_size,
     sampled_idxs.insert(distribution(generator));
   }
   out->clear();
-  for (auto it = sampled_idxs.begin(); it != sampled_idxs.end(); it++) {
-    out->push_back(*it);
+  for (size_t sampled_idx : sampled_idxs) {
+    out->push_back(sampled_idx);
   }
 }
 
@@ -528,9 +529,9 @@ static void GetNonUniformSample(const float* probability,
 struct neigh_list {
   std::vector<dgl_id_t> neighs;
   std::vector<dgl_id_t> edges;
-  neigh_list(const std::vector<dgl_id_t> &_neighs,
-             const std::vector<dgl_id_t> &_edges)
-    : neighs(_neighs), edges(_edges) {}
+  neigh_list(std::vector<dgl_id_t> _neighs,
+             std::vector<dgl_id_t> _edges)
+    : neighs(std::move(_neighs)), edges(std::move(_edges)) {}
 };
 
 /*
@@ -620,25 +621,25 @@ static void SampleSubgraph(const NDArray &csr,
     // First we push the size of neighbor vector
     neighbor_list.push_back(tmp_sampled_edge_list.size());
     // Then push the vertices
-    for (size_t i = 0; i < tmp_sampled_src_list.size(); ++i) {
-      neighbor_list.push_back(tmp_sampled_src_list[i]);
+    for (dgl_id_t & i : tmp_sampled_src_list) {
+      neighbor_list.push_back(i);
     }
     // Finally we push the edge list
-    for (size_t i = 0; i < tmp_sampled_edge_list.size(); ++i) {
-      neighbor_list.push_back(tmp_sampled_edge_list[i]);
+    for (dgl_id_t & i : tmp_sampled_edge_list) {
+      neighbor_list.push_back(i);
     }
     num_edges += tmp_sampled_src_list.size();
-    for (size_t i = 0; i < tmp_sampled_src_list.size(); ++i) {
+    for (dgl_id_t & i : tmp_sampled_src_list) {
       // If we have sampled the max number of vertices, we have to stop.
       if (sub_ver_mp.size() >= max_num_vertices)
         break;
       // We need to add the neighbor in the hashtable here. This ensures that
       // the vertex in the queue is unique. If we see a vertex before, we don't
       // need to add it to the queue again.
-      auto ret = sub_ver_mp.insert(tmp_sampled_src_list[i]);
+      auto ret = sub_ver_mp.insert(i);
       // If the sampled neighbor is inserted to the map successfully.
       if (ret.second)
-        sub_vers.emplace_back(tmp_sampled_src_list[i], cur_node_level + 1);
+        sub_vers.emplace_back(i, cur_node_level + 1);
     }
   }
   // Let's check if there is a vertex that we haven't sampled its neighbors.
@@ -960,8 +961,8 @@ static bool DGLSubgraphStorageType(const nnvm::NodeAttrs& attrs,
 
   bool success = true;
   *dispatch_mode = DispatchMode::kFComputeEx;
-  for (size_t i = 0; i < out_attrs->size(); i++) {
-    if (!type_assign(&(*out_attrs)[i], mxnet::kCSRStorage))
+  for (int & out_attr : *out_attrs) {
+    if (!type_assign(&out_attr, mxnet::kCSRStorage))
     success = false;
   }
   return success;
@@ -999,8 +1000,8 @@ static bool DGLSubgraphType(const nnvm::NodeAttrs& attrs,
   for (size_t i = 0; i < num_g; i++) {
     CHECK_EQ(in_attrs->at(i + 1), mshadow::kInt64);
   }
-  for (size_t i = 0; i < out_attrs->size(); i++) {
-    out_attrs->at(i) = in_attrs->at(0);
+  for (int & out_attr : *out_attrs) {
+    out_attr = in_attrs->at(0);
   }
   return true;
 }
@@ -1016,7 +1017,7 @@ class Bitmap {
  public:
   Bitmap(const dgl_id_t *vid_data, int64_t len): map(size) {
     for (int64_t i = 0; i < len; ++i) {
-      map[hash(vid_data[i])] = 1;
+      map[hash(vid_data[i])] = true;
     }
   }
 
@@ -1531,8 +1532,8 @@ static bool SubgraphCompactStorageType(const nnvm::NodeAttrs& attrs,
 
   bool success = true;
   *dispatch_mode = DispatchMode::kFComputeEx;
-  for (size_t i = 0; i < out_attrs->size(); i++) {
-    if (!type_assign(&(*out_attrs)[i], mxnet::kCSRStorage))
+  for (int & out_attr : *out_attrs) {
+    if (!type_assign(&out_attr, mxnet::kCSRStorage))
       success = false;
   }
   return success;
@@ -1570,11 +1571,11 @@ static bool SubgraphCompactShape(const nnvm::NodeAttrs& attrs,
 static bool SubgraphCompactType(const nnvm::NodeAttrs& attrs,
                                 std::vector<int> *in_attrs,
                                 std::vector<int> *out_attrs) {
-  for (size_t i = 0; i < in_attrs->size(); i++) {
-    CHECK_EQ(in_attrs->at(i), mshadow::kInt64);
+  for (int & in_attr : *in_attrs) {
+    CHECK_EQ(in_attr, mshadow::kInt64);
   }
-  for (size_t i = 0; i < out_attrs->size(); i++) {
-    out_attrs->at(i) = mshadow::kInt64;
+  for (int & out_attr : *out_attrs) {
+    out_attr = mshadow::kInt64;
   }
   return true;
 }
diff --git a/src/operator/contrib/multi_proposal.cc b/src/operator/contrib/multi_proposal.cc
index e77a0b5aeba1..bf8555ca1c09 100644
--- a/src/operator/contrib/multi_proposal.cc
+++ b/src/operator/contrib/multi_proposal.cc
@@ -289,11 +289,11 @@ class MultiProposalOp : public Operator{
     this->param_ = param;
   }
 
-  virtual void Forward(const OpContext &ctx,
+  void Forward(const OpContext &ctx,
                        const std::vector<TBlob> &in_data,
                        const std::vector<OpReqType> &req,
                        const std::vector<TBlob> &out_data,
-                       const std::vector<TBlob> &aux_states) {
+                       const std::vector<TBlob> &aux_states) override {
     using namespace mshadow;
     using namespace mshadow::expr;
     CHECK_EQ(in_data.size(), 3);
@@ -458,13 +458,13 @@ class MultiProposalOp : public Operator{
     }
   }
 
-  virtual void Backward(const OpContext &ctx,
+  void Backward(const OpContext &ctx,
                         const std::vector<TBlob> &out_grad,
                         const std::vector<TBlob> &in_data,
                         const std::vector<TBlob> &out_data,
                         const std::vector<OpReqType> &req,
                         const std::vector<TBlob> &in_grad,
-                        const std::vector<TBlob> &aux_states) {
+                        const std::vector<TBlob> &aux_states) override {
     using namespace mshadow;
     using namespace mshadow::expr;
     CHECK_EQ(in_grad.size(), 3);
diff --git a/src/operator/contrib/proposal.cc b/src/operator/contrib/proposal.cc
index 935372d34dbe..1ca14537c2f6 100644
--- a/src/operator/contrib/proposal.cc
+++ b/src/operator/contrib/proposal.cc
@@ -278,11 +278,11 @@ class ProposalOp : public Operator{
     this->param_ = param;
   }
 
-  virtual void Forward(const OpContext &ctx,
+  void Forward(const OpContext &ctx,
                        const std::vector<TBlob> &in_data,
                        const std::vector<OpReqType> &req,
                        const std::vector<TBlob> &out_data,
-                       const std::vector<TBlob> &aux_states) {
+                       const std::vector<TBlob> &aux_states) override {
     using namespace mshadow;
     using namespace mshadow::expr;
     CHECK_EQ(in_data.size(), 3);
@@ -420,13 +420,13 @@ class ProposalOp : public Operator{
     }
   }
 
-  virtual void Backward(const OpContext &ctx,
+  void Backward(const OpContext &ctx,
                         const std::vector<TBlob> &out_grad,
                         const std::vector<TBlob> &in_data,
                         const std::vector<TBlob> &out_data,
                         const std::vector<OpReqType> &req,
                         const std::vector<TBlob> &in_grad,
-                        const std::vector<TBlob> &aux_states) {
+                        const std::vector<TBlob> &aux_states) override {
     using namespace mshadow;
     using namespace mshadow::expr;
     CHECK_EQ(in_grad.size(), 3);
diff --git a/src/operator/contrib/rroi_align.cc b/src/operator/contrib/rroi_align.cc
index 14690d6270d2..415eecf8eedf 100644
--- a/src/operator/contrib/rroi_align.cc
+++ b/src/operator/contrib/rroi_align.cc
@@ -27,7 +27,7 @@
  */
 #include "./rroi_align-inl.h"
 #include <mshadow/tensor.h>
-#include "math.h"
+#include <cmath>
 
 using std::max;
 using std::min;
diff --git a/src/operator/control_flow.cc b/src/operator/control_flow.cc
index e6cc90ac13dc..7926f26f3f24 100644
--- a/src/operator/control_flow.cc
+++ b/src/operator/control_flow.cc
@@ -24,6 +24,8 @@
 #include <mxnet/operator_util.h>
 #include <dmlc/logging.h>
 #include <dmlc/optional.h>
+
+#include <utility>
 #include "./operator_common.h"
 #include "./elemwise_op_common.h"
 #include "../imperative/imperative_utils.h"
@@ -648,9 +650,9 @@ static void WhileLoopComputeExCPU(const OpStatePtr& state_ptr,
     const_cast<NDArray &>(outputs[i]).SetShapeFromChunk();
   }
   if (state.n_iterations == 0) {
-    for (size_t i = 0; i < outputs.size(); ++i) {
-      if (!shape_is_known(outputs[i].shape())) {
-        const_cast<NDArray &>(outputs[i]).ReshapeAndAlloc({1});
+    for (const auto & output : outputs) {
+      if (!shape_is_known(output.shape())) {
+        const_cast<NDArray &>(output).ReshapeAndAlloc({1});
       }
     }
   }
@@ -865,11 +867,11 @@ class CondState {
   LoopState else_branch;
   int branch_selection;  // 1 if then branch; 0 if else branch; -1 if undefined
 
-  CondState(const CondParam &params,
+  CondState(CondParam params,
             const nnvm::Symbol &cond,
             const nnvm::Symbol &then_sym,
             const nnvm::Symbol &else_sym):
-            params(params),
+            params(std::move(params)),
             cond_op(LoopState::MakeSharedOp(cond)),
             then_branch(then_sym),
             else_branch(else_sym),
diff --git a/src/operator/convolution_v1.cc b/src/operator/convolution_v1.cc
index 723dc867f52f..5d1ce3108a3f 100644
--- a/src/operator/convolution_v1.cc
+++ b/src/operator/convolution_v1.cc
@@ -25,10 +25,6 @@
 */
 
 #include "./convolution_v1-inl.h"
-#if MXNET_USE_NNPACK == 1
-#include "./nnpack/nnpack_convolution-inl.h"
-#endif  // MXNET_USE_NNPACK
-
 namespace mxnet {
 namespace op {
 DMLC_REGISTER_PARAMETER(ConvolutionV1Param);
diff --git a/src/operator/leaky_relu.cc b/src/operator/leaky_relu.cc
index 681ca44b357f..8a1a07573f4e 100644
--- a/src/operator/leaky_relu.cc
+++ b/src/operator/leaky_relu.cc
@@ -202,7 +202,7 @@ The following modified ReLU Activation functions are supported:
 .set_attr<nnvm::FSetInputVarAttrOnCompose>("FSetInputVarAttrOnCompose",
     [](const nnvm::NodeAttrs& attrs, nnvm::ObjectPtr var, const int index) {
       if (index == 1 && var->attrs.dict.find("__init__") == var->attrs.dict.end()) {
-        var->attrs.dict["__init__"] = "[\"Constant\", {\"value\": 0.25}]";
+        var->attrs.dict["__init__"] = R"(["Constant", {"value": 0.25}])";
       }
     });
 
diff --git a/src/operator/linalg.h b/src/operator/linalg.h
index 291e251f5cbc..3e82c6a2fad1 100644
--- a/src/operator/linalg.h
+++ b/src/operator/linalg.h
@@ -280,6 +280,14 @@ void linalg_batch_det_backward_helper(const Tensor<xpu, 3, DType>& LU,
                                       const DType zero_det,
                                       const mxnet::OpContext& ctx);
 
+#ifdef __CUDACC__
+#if CUDA_VERSION < 11000
+#define VERSION_ADJUSTED_TF32_MATH CUBLAS_DEFAULT_MATH
+#else
+#define VERSION_ADJUSTED_TF32_MATH CUBLAS_TF32_TENSOR_OP_MATH
+#endif
+#endif  // __CUDACC__
+
 #include "linalg_impl.h"
 
 #endif  // MXNET_OPERATOR_LINALG_H_
diff --git a/src/operator/linalg_impl.h b/src/operator/linalg_impl.h
index 104acd585bdb..6d94f33bc700 100644
--- a/src/operator/linalg_impl.h
+++ b/src/operator/linalg_impl.h
@@ -212,12 +212,15 @@ inline void linalg_gemm<gpu, float>(const Tensor<gpu, 2, float>& A,
 #else
   cublasDataType_t full_datatype = CUBLAS_DATA_FULL;
 #endif
+  auto handle = Stream<gpu>::GetBlasHandle(s);
+  cublasMath_t saved_math_mode = SetCublasMathMode(handle, VERSION_ADJUSTED_TF32_MATH);
   CUBLAS_CALL(cublasSgemmEx(
-      Stream<gpu>::GetBlasHandle(s), (tB ? CUBLAS_OP_T : CUBLAS_OP_N),
+      handle, (tB ? CUBLAS_OP_T : CUBLAS_OP_N),
       (tA ? CUBLAS_OP_T : CUBLAS_OP_N), C.size(1), C.size(0),
       (tB ? B.size(1) : B.size(0)), &alpha, B.dptr_, full_datatype, B.stride_,
       A.dptr_, full_datatype, A.stride_, &beta, C.dptr_, full_datatype,
-      C.stride_))
+      C.stride_));
+  CUBLAS_CALL(cublasSetMathMode(handle, saved_math_mode));
 }
 
 #else
@@ -235,13 +238,16 @@ void linalg_gemm_axis<gpu, DType>(const Tensor<gpu, 3, DType>& A, const Tensor<g
   using mshadow::gpu; \
   CHECK_NOTNULL(s); \
   linalg_check_batch_size(A.size(1), B.size(1), C.size(1)); \
-  CUBLAS_CALL(cublas##fname(Stream<gpu>::GetBlasHandle(s), \
+  auto handle = Stream<gpu>::GetBlasHandle(s); \
+  cublasMath_t saved_math_mode = SetCublasMathMode(handle, VERSION_ADJUSTED_TF32_MATH); \
+  CUBLAS_CALL(cublas##fname(handle, \
                             (tB ? CUBLAS_OP_T : CUBLAS_OP_N), \
                             (tA ? CUBLAS_OP_T : CUBLAS_OP_N), \
                             C.size(2), C.size(0), (tB ? B.size(2) : B.size(0)), &alpha, \
                             B.dptr_, B.size(1)*B.stride_, B.stride_, \
                             A.dptr_, A.size(1)*A.stride_, A.stride_, &beta, \
                             C.dptr_, C.size(1)*C.stride_, C.stride_, A.size(1))) \
+  CUBLAS_CALL(cublasSetMathMode(handle, saved_math_mode)); \
 }
 LINALG_GPU_GEMM_AXIS(SgemmStridedBatched, float)
 LINALG_GPU_GEMM_AXIS(DgemmStridedBatched, double)
@@ -349,13 +355,22 @@ void linalg_gemm<gpu, mshadow::half::half_t>(const Tensor<gpu, 2, mshadow::half:
     linalg_check_batch_size(A.size(0), B.size(0), C.size(0)); \
     check_gemm(A[0], B[0], C[0], alpha, beta, tA, tB); \
     using namespace mshadow::cuda; \
-    CUBLAS_CALL(cublas##fname(Stream<gpu>::GetBlasHandle(s), \
+    auto handle = Stream<gpu>::GetBlasHandle(s); \
+    cublasMath_t saved_math_mode = SetCublasMathMode(handle, VERSION_ADJUSTED_TF32_MATH); \
+    CUBLAS_CALL(cublas##fname(handle, \
                               (tB ? CUBLAS_OP_T : CUBLAS_OP_N), \
                               (tA ? CUBLAS_OP_T : CUBLAS_OP_N), \
                               C.size(2), C.size(1), (tB ? B.size(2) : B.size(1)), \
-                              &alpha, B.dptr_, B.stride_, B.size(1) * B.stride_, \
-                              A.dptr_,  A.stride_, A.size(1) * A.stride_, \
-                              &beta, C.dptr_, C.stride_, C.size(1) * C.stride_, A.size(0))) \
+                              &alpha, \
+                              B.dptr_, B.stride_, \
+                              static_cast<int64_t>(B.size(1) * B.stride_), \
+                              A.dptr_,  A.stride_, \
+                              static_cast<int64_t>(A.size(1) * A.stride_), \
+                              &beta, \
+                              C.dptr_, C.stride_, \
+                              static_cast<int64_t>(C.size(1) * C.stride_), \
+                              A.size(0))) \
+    CUBLAS_CALL(cublasSetMathMode(handle, saved_math_mode)); \
   }
 
   LINALG_GPU_BATCH_GEMM(DgemmStridedBatched, double)
@@ -380,7 +395,7 @@ void linalg_gemm<gpu, mshadow::half::half_t>(const Tensor<gpu, 2, mshadow::half:
 
       using namespace mshadow::cuda;
       auto cublas_math_mode =
-          use_tensor_ops ? CUBLAS_TENSOR_OP_MATH : CUBLAS_DEFAULT_MATH;
+          use_tensor_ops ? CUBLAS_TENSOR_OP_MATH : VERSION_ADJUSTED_TF32_MATH;
       auto previous_math_mode = SetCublasMathMode(blas_handle, cublas_math_mode);
 
       // cublasGemmStridedBatchedEx is only supported for GPU with architecture
@@ -421,6 +436,8 @@ void linalg_gemm<gpu, mshadow::half::half_t>(const Tensor<gpu, 2, mshadow::half:
     CHECK_NOTNULL(s); \
     linalg_check_batch_size(A.size(0), B.size(0), C.size(0)); \
     linalg_check_batch_size(A.size(2), B.size(2), C.size(2)); \
+    auto handle = Stream<gpu>::GetBlasHandle(s);                                           \
+    cublasMath_t saved_math_mode = SetCublasMathMode(handle, VERSION_ADJUSTED_TF32_MATH); \
     for (index_t i = 0; i < A.size(2); ++i) { \
       CUBLAS_CALL(cublas##fname(Stream<gpu>::GetBlasHandle(s), \
           (tB ? CUBLAS_OP_T : CUBLAS_OP_N), \
@@ -430,6 +447,7 @@ void linalg_gemm<gpu, mshadow::half::half_t>(const Tensor<gpu, 2, mshadow::half:
           A.dptr_+i*A.stride_, A.size(2) * A.stride_, A.size(1)*A.size(2)*A.stride_, &beta, \
           C.dptr_+i*C.stride_, C.size(2) * C.stride_, C.size(1)*C.size(2)*C.stride_, A.size(0))) \
     }\
+    SetCublasMathMode(handle, saved_math_mode); \
   }
 
   LINALG_GPU_BATCH_GEMM_AXIS(SgemmStridedBatched, float)
diff --git a/src/operator/nn/batch_norm.cc b/src/operator/nn/batch_norm.cc
index 7e540caaffe6..2fdd31ec3cab 100644
--- a/src/operator/nn/batch_norm.cc
+++ b/src/operator/nn/batch_norm.cc
@@ -435,10 +435,14 @@ static bool BatchNormType(const nnvm::NodeAttrs& attrs,
 
 #if MXNET_USE_MKLDNN == 1
 static inline bool SupportMKLDNNBN(const NDArray &input, const BatchNormParam &param) {
-  mxnet::TShape shape = input.shape();
-  return SupportMKLDNN(input) && shape.ndim() == 4
-      && param.axis == mxnet::op::batchnorm::DEFAULT_AXIS
-      && !mxnet::op::batchnorm::disable_mkl;
+  if (mxnet::op::batchnorm::disable_mkl) return false;
+  const mxnet::TShape shape = input.shape();
+  const int ndim = shape.ndim();
+  if (ndim == 0 || shape.Size() == 0) return false;
+  const int dtype = input.dtype();
+  return (dtype == mshadow::kFloat32 ||
+          dtype == mshadow::kBfloat16) &&
+          SupportStorageMKLDNN(input.storage_type());
 }
 
 void BatchNormComputeExCPU(const nnvm::NodeAttrs &attrs,
diff --git a/src/operator/nn/batch_norm.cu b/src/operator/nn/batch_norm.cu
index 0875f05e669d..c7e991f98d18 100644
--- a/src/operator/nn/batch_norm.cu
+++ b/src/operator/nn/batch_norm.cu
@@ -698,8 +698,7 @@ void BatchNormCompute<gpu>(const nnvm::NodeAttrs& attrs,
 
   param.axis = mxnet::op::batchnorm::GetRealAxis(shape, param.axis);
 #if MXNET_USE_CUDNN == 1
-  if (!param.use_global_stats && !param.cudnn_off
-      && param.axis == mxnet::op::batchnorm::DEFAULT_AXIS) {
+  if (!param.use_global_stats && !param.cudnn_off) {
     MSHADOW_REAL_TYPE_SWITCH(dtype, DType, {
       GetCuDNNOp<DType>(param).Forward(ctx, in_data, req, outputs, aux_states);
     })
@@ -727,8 +726,7 @@ void BatchNormGradCompute<gpu>(const nnvm::NodeAttrs& attrs,
 
   param.axis = mxnet::op::batchnorm::GetRealAxis(shape, param.axis);
 #if MXNET_USE_CUDNN == 1
-  if (!param.use_global_stats && !param.cudnn_off
-      && param.axis == mxnet::op::batchnorm::DEFAULT_AXIS) {
+  if (!param.use_global_stats && !param.cudnn_off) {
     MSHADOW_REAL_TYPE_SWITCH(dtype, DType, {
       GetCuDNNOp<DType>(param).Backward(ctx, inputs, req, outputs);
     })
diff --git a/src/operator/nn/convolution.cc b/src/operator/nn/convolution.cc
index 3ebb67ad0aa0..05d4cb74318b 100644
--- a/src/operator/nn/convolution.cc
+++ b/src/operator/nn/convolution.cc
@@ -27,9 +27,6 @@
 #include "./convolution-inl.h"
 #include "../elemwise_op_common.h"
 #include "../operator_common.h"
-#if MXNET_USE_NNPACK == 1
-#include "../nnpack/nnpack_pooling-inl.h"
-#endif  // MXNET_USE_NNPACK
 #if MXNET_USE_MKLDNN == 1
 #include "./mkldnn/mkldnn_base-inl.h"
 #include "./mkldnn/mkldnn_ops-inl.h"
diff --git a/src/operator/nn/ctc_loss.cc b/src/operator/nn/ctc_loss.cc
index 096ef8c0d7b4..59f89f0576f3 100644
--- a/src/operator/nn/ctc_loss.cc
+++ b/src/operator/nn/ctc_loss.cc
@@ -50,6 +50,7 @@ DMLC_REGISTER_PARAMETER(CTCLossOpParam);
 
 NNVM_REGISTER_OP(CTCLoss)
 .add_alias("ctc_loss")
+.add_alias("_npx_ctc_loss")
 .add_alias("_contrib_CTCLoss")
 .add_alias("_contrib_ctc_loss")
 .describe(R"code(Connectionist Temporal Classification Loss.
diff --git a/src/operator/nn/ctc_loss.cu b/src/operator/nn/ctc_loss.cu
index a4491bf6986e..c6952d33c86a 100644
--- a/src/operator/nn/ctc_loss.cu
+++ b/src/operator/nn/ctc_loss.cu
@@ -51,6 +51,7 @@ namespace op {
 
 NNVM_REGISTER_OP(CTCLoss)
 .add_alias("ctc_loss")
+.add_alias("_npx_ctc_loss")
 .add_alias("_contrib_ctc_loss")
 .add_alias("_contrib_CTCLoss")
 .set_attr<FCompute>("FCompute<gpu>", CTCLossOpForward<gpu>);
diff --git a/src/operator/nn/cudnn/cudnn_batch_norm-inl.h b/src/operator/nn/cudnn/cudnn_batch_norm-inl.h
index 13db44d518b3..340c2f3494f2 100644
--- a/src/operator/nn/cudnn/cudnn_batch_norm-inl.h
+++ b/src/operator/nn/cudnn/cudnn_batch_norm-inl.h
@@ -262,15 +262,27 @@ class CuDNNBatchNormOp {
 
  private:
   void Init(const TBlob &in_data) {
-    if (in_data.ndim() == 4) {
-      for (int i = 0; i < 4; ++i)
-        shape_[i] = in_data.shape_[i];
+    CHECK_GE(param_.axis, 0);
+    CHECK_LT(param_.axis, in_data.ndim());
+    if (param_.axis == 1) {
+      if (in_data.ndim() == 4) {
+        for (int i = 0; i < 4; ++i)
+          shape_[i] = in_data.shape_[i];
+      } else {
+        // when in_data.ndim() != 4
+        shape_[0] = in_data.shape_[0];
+        shape_[1] = in_data.ndim() > 1 ? in_data.shape_[1] : 1;
+        shape_[2] = 1;
+        shape_[3] = static_cast<dim_t>(in_data.shape_.ProdShape(2,
+              in_data.ndim()));
+      }
     } else {
-      // when in_data.ndim() != 4
-      shape_[0] = in_data.shape_[0];
-      shape_[1] = in_data.ndim() > 1 ? in_data.shape_[1] : 1;
+      // reshape to (N, C, 1, D), C is the `param_.axis` dimension
+      shape_[0] = static_cast<dim_t>(in_data.shape_.ProdShape(0, param_.axis));
+      shape_[1] = in_data.shape_[param_.axis];
       shape_[2] = 1;
-      shape_[3] = in_data.shape_.ProdShape(2, in_data.ndim());
+      shape_[3] = static_cast<dim_t>(in_data.shape_.ProdShape(param_.axis + 1,
+            in_data.ndim()));
     }
 
     CUDNN_CALL(cudnnSetTensor4dDescriptor(io_desc_,
diff --git a/src/operator/nn/fully_connected.cc b/src/operator/nn/fully_connected.cc
index 1322c86f9e47..7b243f1b2eb2 100644
--- a/src/operator/nn/fully_connected.cc
+++ b/src/operator/nn/fully_connected.cc
@@ -25,9 +25,6 @@
 #include "./fully_connected-inl.h"
 #include "./mkldnn/mkldnn_ops-inl.h"
 #include "./mkldnn/mkldnn_base-inl.h"
-#if MXNET_USE_NNPACK == 1
-#include "../nnpack/nnpack_fully_connected-inl.h"
-#endif  // MXNET_USE_NNPACK
 
 namespace mxnet {
 namespace op {
diff --git a/src/operator/nn/log_softmax.cc b/src/operator/nn/log_softmax.cc
index f3ef4abb9f6d..28ae8cf361ec 100644
--- a/src/operator/nn/log_softmax.cc
+++ b/src/operator/nn/log_softmax.cc
@@ -58,6 +58,7 @@ static void LogSoftmaxGradComputeExCPU(const nnvm::NodeAttrs& attrs,
                                        const std::vector<NDArray>& inputs,
                                        const std::vector<OpReqType>& req,
                                        const std::vector<NDArray>& outputs) {
+  if (inputs[0].shape().Size() == 0U) return;
   const SoftmaxParam& param = nnvm::get<SoftmaxParam>(attrs.parsed);
   if (SupportMKLDNNLogSoftmax(param, inputs[1], outputs[0])) {
     MKLDNN_OPCHECK_INIT(false, outputs.size(), inputs, outputs);
diff --git a/src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h b/src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h
index da4fd97e82da..0a29a6d87de6 100644
--- a/src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h
+++ b/src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h
@@ -157,7 +157,25 @@ void MKLDNNBatchNormForward(const nnvm::NodeAttrs &attrs, const OpContext &ctx,
                             const std::vector<NDArray> &inputs, const std::vector<OpReqType> &req,
                             const std::vector<NDArray> &outputs, bool fuse_relu) {
   const BatchNormParam &param = nnvm::get<BatchNormParam>(attrs.parsed);
-  const std::vector<NDArray> in_data(inputs.begin(), inputs.begin() + batchnorm::kInMovingMean);
+  std::vector<NDArray> in_data(inputs.begin(), inputs.begin() + batchnorm::kInMovingMean);
+
+  mxnet::TShape shape = inputs[batchnorm::kData].shape();
+  const int real_axis = mxnet::op::batchnorm::GetRealAxis(shape, param.axis);
+  CHECK_LT(real_axis, shape.ndim());
+  NDArray out = outputs[batchnorm::kOut];
+  if (param.axis != 1 || shape.ndim() != 4) {
+    // reshape to (N, C, 1, D)
+    mxnet::TShape new_shape{
+      static_cast<dim_t>(shape.ProdShape(0, real_axis)),
+      shape[real_axis],
+      1,
+      static_cast<dim_t>(shape.ProdShape(real_axis + 1,
+            static_cast<int>(shape.ndim())))
+    };
+    in_data[batchnorm::kData] = in_data[batchnorm::kData].Reshape(new_shape);
+    out = out.Reshape(new_shape);
+  }
+
   const std::vector<NDArray> aux_states(inputs.begin() + batchnorm::kInMovingMean, inputs.end());
   TmpMemMgr::Get()->Init(ctx.requested[batchnorm::kTempSpace]);
   mkldnn::normalization_flags flags = _GetFlags(in_data,
@@ -166,7 +184,6 @@ void MKLDNNBatchNormForward(const nnvm::NodeAttrs &attrs, const OpContext &ctx,
                                                 fuse_relu);
   const NDArray &data = in_data[batchnorm::kData];
   auto &fwd = GetBNForward<DType>(param, ctx, data, flags);
-  const NDArray &out = outputs[batchnorm::kOut];
 
   // for output memory
   auto out_mem = const_cast<NDArray &>(out).CreateMKLDNNData(fwd.GetPd().dst_desc());
@@ -325,9 +342,9 @@ void MKLDNNBatchNormBackward(const nnvm::NodeAttrs &attrs, const OpContext &ctx,
                                                 ctx.is_train && !param.use_global_stats,
                                                 fuse_relu);
 
-  const NDArray &data         = in_data[batchnorm::kData];
-  const NDArray &diff         = out_grad[batchnorm::kOut];
-  const NDArray &gradIn       = in_grad[batchnorm::kData];
+  NDArray data         = in_data[batchnorm::kData];
+  NDArray diff         = out_grad[batchnorm::kOut];
+  NDArray gradIn       = in_grad[batchnorm::kData];
   const NDArray &moving_mean  = aux_states[batchnorm::kMovingMean];
   const NDArray &moving_var   = aux_states[batchnorm::kMovingVar];
   const NDArray &out_mean     = out_data[batchnorm::kMean];
@@ -338,6 +355,23 @@ void MKLDNNBatchNormBackward(const nnvm::NodeAttrs &attrs, const OpContext &ctx,
   CHECK(moving_mean.IsDefaultData());
   CHECK(moving_var.IsDefaultData());
 
+  mxnet::TShape shape = data.shape();
+  const int real_axis = mxnet::op::batchnorm::GetRealAxis(shape, param.axis);
+  CHECK_LT(real_axis, shape.ndim());
+  if (param.axis != 1 || shape.ndim() != 4) {
+    // reshape to (N, C, 1, D)
+    mxnet::TShape new_shape{
+      static_cast<dim_t>(shape.ProdShape(0, real_axis)),
+      shape[real_axis],
+      1,
+      static_cast<dim_t>(shape.ProdShape(real_axis + 1,
+            static_cast<int>(shape.ndim())))
+    };
+    data = data.Reshape(new_shape);
+    diff = diff.Reshape(new_shape);
+    gradIn = gradIn.Reshape(new_shape);
+  }
+
   auto data_mem  = data.GetMKLDNNData();
   auto diff_mem  = diff.GetMKLDNNData();
   // MKLDNN batchnorm should run on special layouts. If one of them isn't, we
diff --git a/src/operator/nn/pooling.cc b/src/operator/nn/pooling.cc
index 56edf74ee67a..4c66f2c90eec 100644
--- a/src/operator/nn/pooling.cc
+++ b/src/operator/nn/pooling.cc
@@ -25,9 +25,6 @@
 */
 #include "../elemwise_op_common.h"
 #include "./pooling-inl.h"
-#if MXNET_USE_NNPACK == 1
-#include "../nnpack/nnpack_pooling-inl.h"
-#endif  // MXNET_USE_NNPACK
 #if MXNET_USE_MKLDNN == 1
 #include "./mkldnn/mkldnn_pooling-inl.h"
 #include "./mkldnn/mkldnn_base-inl.h"
diff --git a/src/operator/nn/softmax.cc b/src/operator/nn/softmax.cc
index b95e159f9862..9b28b71560bd 100644
--- a/src/operator/nn/softmax.cc
+++ b/src/operator/nn/softmax.cc
@@ -59,6 +59,7 @@ static void SoftmaxGradComputeExCPU(const nnvm::NodeAttrs& attrs,
                                     const std::vector<NDArray>& inputs,
                                     const std::vector<OpReqType>& req,
                                     const std::vector<NDArray>& outputs) {
+  if (inputs[0].shape().Size() == 0U) return;
   const SoftmaxParam& param = nnvm::get<SoftmaxParam>(attrs.parsed);
   if (SupportMKLDNNSoftmax(param, inputs[1], outputs[0])) {
     MKLDNN_OPCHECK_INIT(false, outputs.size(), inputs, outputs);
diff --git a/src/operator/nnpack/nnpack_convolution-inl.h b/src/operator/nnpack/nnpack_convolution-inl.h
deleted file mode 100644
index 0e2c73693d15..000000000000
--- a/src/operator/nnpack/nnpack_convolution-inl.h
+++ /dev/null
@@ -1,124 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file nnpack_convolution-inl.h
- * \brief
- * \author Carwin
-*/
-#ifndef MXNET_OPERATOR_NNPACK_NNPACK_CONVOLUTION_INL_H_
-#define MXNET_OPERATOR_NNPACK_NNPACK_CONVOLUTION_INL_H_
-
-#include <dmlc/logging.h>
-#include <dmlc/parameter.h>
-#include <mxnet/operator.h>
-#include <algorithm>
-#include <map>
-#include <vector>
-#include <string>
-#include <utility>
-#include "../convolution-inl.h"
-#include "nnpack.h"
-#include "nnpack_util.h"
-
-namespace mxnet {
-namespace op {
-
-template <typename xpu, typename DType>
-class NNPACKConvolutionOp : public ConvolutionOp<xpu, DType> {
- private:
-  ConvolutionParam param_;
-
- public:
-  explicit NNPACKConvolutionOp(ConvolutionParam p)
-      : ConvolutionOp<xpu, DType>(p) {
-    this->param_ = p;
-  }
-
- public:
-  virtual void Forward(const OpContext &ctx, const std::vector<TBlob> &in_data,
-                       const std::vector<OpReqType> &req,
-                       const std::vector<TBlob> &out_data,
-                       const std::vector<TBlob> &aux_args) {
-    using namespace mshadow;
-    using namespace mshadow::expr;
-    Stream<xpu> *s = ctx.get_stream<xpu>();
-    Tensor<xpu, 4, DType> data = in_data[conv::kData].get<xpu, 4, DType>(s);
-    const size_t batch_size = data.shape_[0];
-    const size_t input_c = data.shape_[1];
-    const size_t input_h = data.shape_[2];
-    const size_t input_w = data.shape_[3];
-    Shape<3> wmat_shape =
-        Shape3(param_.num_group, param_.num_filter / param_.num_group,
-               input_c / param_.num_group * param_.kernel[0] *
-                   param_.kernel[1]);
-    Tensor<xpu, 3, DType> wmat =
-        in_data[conv::kWeight].get_with_shape<xpu, 3, DType>(wmat_shape, s);
-    Tensor<xpu, 4, DType> out = out_data[conv::kOut].get<xpu, 4, DType>(s);
-    nnp_size input_size = {input_w, input_h};
-    nnp_padding input_padding = {param_.pad[0], param_.pad[1], param_.pad[0],
-                               param_.pad[1]};
-    nnp_size kernel_size = {param_.kernel[1], param_.kernel[0]};
-    nnp_size output_subsampling = {param_.stride[1], param_.stride[0]};
-    Tensor<xpu, 1, DType> bias = in_data[conv::kBias].get<xpu, 1, DType>(s);
-
-    nnp_convolution_algorithm algorithm = nnp_convolution_algorithm_auto;
-    nnp_convolution_transform_strategy kts = nnp_convolution_transform_strategy_tuple_based;
-    nnp_status status = nnp_status_success;
-    if (batch_size == 1) {
-      status = nnp_convolution_inference(
-      algorithm,                    // enum nnp_convolution_algorithm,
-      kts,                          // enum nnp_convolution_transform_strategy,
-      input_c,                      // size_t input_channels,
-      param_.num_filter,            // size_t output_channels,
-      input_size,                   // struct nnp_size input_size,
-      input_padding,                // struct nnp_padding input_padding,
-      kernel_size,                  // struct nnp_size kernel_size,
-      output_subsampling,           // struct nnp_size output_subsampling,
-      data.dptr_,                   // const float input[],
-      wmat.dptr_,                   // const float kernel[],
-      bias.dptr_,                   // const float bias[],
-      out.dptr_,                    // float output[],
-      nnpackinitialize.threadpool,  // pthreadpool_t threadpool,
-      nullptr);
-    } else {
-      status = nnp_convolution_output(
-      algorithm,                    // enum nnp_convolution_algorithm algorithm,
-      batch_size,                   // size_t batch size of input tensor
-      input_c,                      // size_t input_channels,
-      param_.num_filter,            // size_t output_channels,
-      input_size,                   // struct nnp_size input_size,
-      input_padding,                // struct nnp_padding input_padding,
-      kernel_size,                  // struct nnp_size kernel_size,
-      data.dptr_,                   // const float input[],
-      wmat.dptr_,                   // const float kernel[],
-      bias.dptr_,                   // const float bias[],
-      out.dptr_,                    // float output[],
-      nnpackinitialize.threadpool,  // pthreadpool_t threadpool,
-      nullptr);
-    }
-    if (nnp_status_success != status) {
-      LOG(FATAL) << "nnpack convolution feedforward failed status=" << status;
-    }
-  }
-};  // class NNPACKConvolutionOp
-}  // namespace op
-}  // namespace mxnet
-#endif  // MXNET_OPERATOR_NNPACK_NNPACK_CONVOLUTION_INL_H_
diff --git a/src/operator/nnpack/nnpack_fully_connected-inl.h b/src/operator/nnpack/nnpack_fully_connected-inl.h
deleted file mode 100644
index 422334949c48..000000000000
--- a/src/operator/nnpack/nnpack_fully_connected-inl.h
+++ /dev/null
@@ -1,108 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file nnpack_fully_connected-inl.h
- * \brief
- * \author Wei Wu
-*/
-#ifndef MXNET_OPERATOR_NNPACK_NNPACK_FULLY_CONNECTED_INL_H_
-#define MXNET_OPERATOR_NNPACK_NNPACK_FULLY_CONNECTED_INL_H_
-
-#include <dmlc/logging.h>
-#include <dmlc/parameter.h>
-#include <mxnet/operator.h>
-#include <algorithm>
-#include <map>
-#include <vector>
-#include <string>
-#include <utility>
-#include "../nn/fully_connected-inl.h"
-#include "nnpack.h"
-#include "nnpack_util.h"
-
-namespace mxnet {
-namespace op {
-
-template <typename xpu, typename DType>
-class NNPACKFullyConnectedOp : public FullyConnectedOp<xpu, DType> {
- private:
-  FullyConnectedParam param_;
-
- public:
-  explicit NNPACKFullyConnectedOp(FullyConnectedParam p)
-      : FullyConnectedOp<xpu, DType>(p) {
-    this->param_ = p;
-  }
-
- public:
-  virtual void Forward(const OpContext &ctx, const std::vector<TBlob> &in_data,
-                       const std::vector<OpReqType> &req,
-                       const std::vector<TBlob> &out_data,
-                       const std::vector<TBlob> &aux_args) {
-    using namespace mshadow;
-    using namespace mshadow::expr;
-    if (req[fullc::kOut] == kNullOp) return;
-    CHECK_EQ(req[fullc::kOut], kWriteTo);
-    size_t expected = param_.no_bias ? 2 : 3;
-    CHECK_EQ(in_data.size(), expected);
-    CHECK_EQ(out_data.size(), 1);
-    const mxnet::TShape& ishape = in_data[fullc::kData].shape_;
-    const mxnet::TShape& oshape = out_data[fullc::kOut].shape_;
-    Stream<xpu> *s = ctx.get_stream<xpu>();
-    Tensor<xpu, 2, DType> data = in_data[fullc::kData].get_with_shape<xpu, 2, DType>(
-        Shape2(ishape[0], ishape.ProdShape(1, ishape.ndim())), s);
-    Tensor<xpu, 2, DType> wmat = in_data[fullc::kWeight].get<xpu, 2, DType>(s);
-    Tensor<xpu, 2, DType> out = out_data[fullc::kOut].get_with_shape<xpu, 2, DType>(
-        Shape2(oshape[0], oshape.ProdShape(1, oshape.ndim())), s);
-    const size_t batch_size = data.shape_[0];
-    const size_t input_c = data.shape_[1];
-    nnp_status status = nnp_status_success;
-    if (batch_size == 1) {
-      status = nnp_fully_connected_inference(
-      input_c,                       // size_t input_channels,
-      param_.num_hidden,             // size_t output_channels,
-      data.dptr_,                    // const float input[],
-      wmat.dptr_,                    // const float kernel[],
-      out.dptr_,                     // float output[],
-      nnpackinitialize.threadpool);  // pthreadpool_t threadpool,
-    } else {
-      status = nnp_fully_connected_output(
-      batch_size,                    // size_t batch size of input tensor
-      input_c,                       // size_t input_channels,
-      param_.num_hidden,             // size_t output_channels,
-      data.dptr_,                    // const float input[],
-      wmat.dptr_,                    // const float kernel[],
-      out.dptr_,                     // float output[],
-      nnpackinitialize.threadpool,   // pthreadpool_t threadpool,
-      nullptr);
-    }
-    if (nnp_status_success != status) {
-      LOG(FATAL) << "nnpack fully conneted feedforward failed status=" << status;
-    }
-    if (!param_.no_bias) {
-      Tensor<xpu, 1, DType> bias = in_data[fullc::kBias].get<xpu, 1, DType>(s);
-      out += repmat(bias, data.size(0));
-    }
-  }
-};  // class NNPACKFullyConnectedOp
-}  // namespace op
-}  // namespace mxnet
-#endif  // MXNET_OPERATOR_NNPACK_NNPACK_FULLY_CONNECTED_INL_H_
diff --git a/src/operator/nnpack/nnpack_pooling-inl.h b/src/operator/nnpack/nnpack_pooling-inl.h
deleted file mode 100644
index 3fad77024a9a..000000000000
--- a/src/operator/nnpack/nnpack_pooling-inl.h
+++ /dev/null
@@ -1,91 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file nnpack_pooling-inl.h
- * \brief
- * \author Wei Wu
-*/
-#ifndef MXNET_OPERATOR_NNPACK_NNPACK_POOLING_INL_H_
-#define MXNET_OPERATOR_NNPACK_NNPACK_POOLING_INL_H_
-
-#include <dmlc/logging.h>
-#include <dmlc/parameter.h>
-#include <mxnet/operator.h>
-#include <algorithm>
-#include <map>
-#include <vector>
-#include <string>
-#include <utility>
-#include "../nn/pooling-inl.h"
-#include "nnpack.h"
-#include "nnpack_util.h"
-
-namespace mxnet {
-namespace op {
-
-template <typename xpu, typename DType>
-class NNPACKPoolingOp : public PoolingOp<xpu, DType> {
- private:
-  PoolingParam param_;
-
- public:
-  explicit NNPACKPoolingOp(PoolingParam p)
-      : PoolingOp<xpu, DType>(p) {
-    this->param_ = p;
-  }
-
- public:
-  virtual void Forward(const OpContext &ctx, const std::vector<TBlob> &in_data,
-                       const std::vector<OpReqType> &req,
-                       const std::vector<TBlob> &out_data,
-                       const std::vector<TBlob> &aux_args) {
-    using namespace mshadow;
-    using namespace mshadow::expr;
-    Stream<xpu> *s = ctx.get_stream<xpu>();
-    Tensor<xpu, 4, DType> data = in_data[pool_enum::kData].get<xpu, 4, DType>(s);
-    const size_t batch_size = data.shape_[0];
-    const size_t input_c = data.shape_[1];
-    const size_t input_h = data.shape_[2];
-    const size_t input_w = data.shape_[3];
-    Tensor<xpu, 4, DType> out = out_data[pool_enum::kOut].get<xpu, 4, DType>(s);
-    nnp_size input_size = {input_w, input_h};
-    nnp_padding input_padding = {param_.pad[0], param_.pad[1], param_.pad[0],
-                                 param_.pad[1]};
-    nnp_size kernel_size = {param_.kernel[1], param_.kernel[0]};
-    nnp_size output_subsampling = {param_.stride[1], param_.stride[0]};
-    nnp_status status = nnp_max_pooling_output(
-      batch_size,                    // size_t batch size of input tensor
-      input_c,                       // size_t input_channels,
-      input_size,                    // struct nnp_size input_size,
-      input_padding,                 // struct nnp_padding input_padding,
-      kernel_size,                   // struct nnp_size kernel_size,
-      output_subsampling,            // struct nnp_size output_subsampling,
-      data.dptr_,                    // const float input[],
-      out.dptr_,                     // float output[],
-      nnpackinitialize.threadpool);  // pthreadpool_t threadpool,
-    if (nnp_status_success != status) {
-      LOG(FATAL) << "nnpack max pooling feedforward failed status=" << status;
-    }
-  }
-};  // class NNPACKPoolingOp
-}  // namespace op
-}  // namespace mxnet
-#endif  // MXNET_OPERATOR_NNPACK_NNPACK_POOLING_INL_H_
diff --git a/src/operator/nnpack/nnpack_util.cc b/src/operator/nnpack/nnpack_util.cc
deleted file mode 100644
index 7d075e0554ba..000000000000
--- a/src/operator/nnpack/nnpack_util.cc
+++ /dev/null
@@ -1,37 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file nnpack_util.cc
- * \brief
- * \author Wei Wu
-*/
-
-#if MXNET_USE_NNPACK == 1
-#include "nnpack_util.h"
-
-namespace mxnet {
-namespace op {
-
-NNPACKInitialize nnpackinitialize;
-
-}  // namespace op
-}  // namespace mxnet
-#endif  // MXNET_USE_NNPACK
diff --git a/src/operator/nnpack/nnpack_util.h b/src/operator/nnpack/nnpack_util.h
deleted file mode 100644
index 2edfb79ad46e..000000000000
--- a/src/operator/nnpack/nnpack_util.h
+++ /dev/null
@@ -1,64 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-/*!
- * Copyright (c) 2016 by Contributors
- * \file nnpack_util.h
- * \brief
- * \author Carwin
-*/
-#ifndef MXNET_OPERATOR_NNPACK_NNPACK_UTIL_H_
-#define MXNET_OPERATOR_NNPACK_NNPACK_UTIL_H_
-
-#include <dmlc/logging.h>
-#include <dmlc/parameter.h>
-#include <nnpack.h>
-
-namespace mxnet {
-namespace op {
-
-class NNPACKInitialize {
- public:
-  pthreadpool_t threadpool;
-
- public:
-  NNPACKInitialize() {
-    nnp_status status = nnp_initialize();
-    if (nnp_status_success != status) {
-      LOG(FATAL) << "nnp_initialize failed status=" << status;
-    }
-    int num_threads = dmlc::GetEnv("MXNET_CPU_NNPACK_NTHREADS", 4);
-    this->threadpool = pthreadpool_create(num_threads);
-  }
-  virtual ~NNPACKInitialize() {
-    nnp_status status = nnp_deinitialize();
-    if (nnp_status_success != status) {
-      LOG(FATAL) << "nnp_deinitialize failed status=" << status;
-    }
-    pthreadpool_destroy(threadpool);
-  }
-};
-
-// nnpackinitialize will be used in all other nnpack op
-extern NNPACKInitialize nnpackinitialize;
-
-}  // namespace op
-}  // namespace mxnet
-
-#endif  // MXNET_OPERATOR_NNPACK_NNPACK_UTIL_H_
diff --git a/src/operator/numpy/linalg/np_qr-inl.h b/src/operator/numpy/linalg/np_qr-inl.h
index 0f332e4a661a..c57e2d6d2443 100644
--- a/src/operator/numpy/linalg/np_qr-inl.h
+++ b/src/operator/numpy/linalg/np_qr-inl.h
@@ -483,19 +483,53 @@ struct assign_helper {
   }
 };
 
+// backprop helper to get y, v
+struct QrBackHelper_G1 {
+  template<typename DType>
+  MSHADOW_XINLINE static void Map(const int k, const int m, const int n, const DType *in_data,
+                                  const int ldin, DType *out_data, const int ldout) {
+    const int offin(k * m * ldin);
+    const int offout(k * m * ldout);
+    for (index_t i = 0; i < m; ++i) {
+      for (index_t j = 0; j < n - m; ++j) {
+        out_data[offout + i * ldout + j] = in_data[offin + m + i * ldin + j];
+      }
+    }
+  }
+};
+
+// backprop helper to get da from dx, dy
+struct QrBackHelper_G2 {
+  template<typename DType>
+  MSHADOW_XINLINE static void Map(const int k, const int m, const int n, const DType *in_data_x,
+                                  const int ldinx, const DType *in_data_y, const int ldiny,
+                                  DType *out_data, const int ldout) {
+    const int offiny(k * m * ldiny);
+    const int offinx(k * m * ldinx);
+    const int offout(k * m * ldout);
+    for (index_t i = 0; i < m; ++i) {
+      for (index_t j = 0; j < n - m; ++j) {
+          out_data[offout + m + i * ldout + j] = in_data_y[offiny + i * ldiny + j];
+      }
+      for (index_t j = 0; j < m; ++j) {
+          out_data[offout + i * ldout + j] = in_data_x[offinx + i * ldinx + j];
+      }
+    }
+  }
+};
+
+
 struct qr_backward {
   template<typename xpu, typename DType>
   static void op(const Tensor<xpu, 3, DType>& dA,
                  const Tensor<xpu, 3, DType>& dQ,
                  const Tensor<xpu, 3, DType>& dR,
-                 const Tensor<xpu, 3, DType>& A,
                  const Tensor<xpu, 3, DType>& Q,
                  const Tensor<xpu, 3, DType>& R,
                  const Tensor<xpu, 3, DType>& M,
                  const OpContext& ctx, const nnvm::NodeAttrs& attrs) {
-    // Implements case m >= n; da = [dq + q@copyltu(M))]@r**(-T)
+    // Implements da = [dq + q@copyltu(M))]@r**(-T)
     // Where M = r@(dr**T) - (dq**T)@q
-    // Reference: https://arxiv.org/abs/1710.08717
     Stream<xpu> *s = ctx.get_stream<xpu>();
     if (dQ.dptr_ != dA.dptr_) Copy(dA, dQ, s);
     // M = R@dR_T
@@ -514,15 +548,30 @@ struct qr_backward {
 
 template<typename xpu>
 size_t QrBackwardWorkspaceSize(const TBlob& a,
+                               const TBlob& q,
                                const TBlob& r,
                                const TBlob& grad_a) {
+  const mxnet::TShape& a_shape = a.shape_;
+  const int a_ndim = a_shape.ndim();
+  const int n = a.size(a_ndim - 1);
+  const int m = a.size(a_ndim - 2);
+
   if (0U == a.Size()) { return 0U; }
 
   MSHADOW_SGL_DBL_TYPE_SWITCH(grad_a.type_flag_, DType, {
     size_t work_space_size = 0;
-    // for grad a and M
     work_space_size += a.Size();
-    work_space_size += r.Size();
+    if (m >= n) {
+      work_space_size += r.Size();
+    } else {
+      const mxnet::TShape& q_shape = q.shape_;
+      mxnet::TShape v_shape(q_shape);
+      v_shape[a_ndim - 1] = n - m;
+      // allocate space for: m, u, dq_prime, du, dx (shaped like Q)
+      work_space_size += 5 * q.Size();
+      // allocate space for: y, dv (shaped like V, the partition of R)
+      work_space_size += 2 * v_shape.Size();
+    }
     return work_space_size * sizeof(DType);
   });
   LOG(FATAL) << "InternalError: cannot reach here";
@@ -542,8 +591,10 @@ void QrBackwardImpl(const TBlob& grad_a,
                     const nnvm::NodeAttrs& attrs) {
   Stream<xpu> *s = ctx.get_stream<xpu>();
   const mxnet::TShape& a_shape = a.shape_;
+  const mxnet::TShape& q_shape = q.shape_;
   const mxnet::TShape& r_shape = r.shape_;
   const int a_ndim = a_shape.ndim();
+  const int m = a.size(a_ndim - 2);
   const int n = a.size(a_ndim - 1);
 
   if (kNullOp == req[0]) { return; }
@@ -551,27 +602,105 @@ void QrBackwardImpl(const TBlob& grad_a,
   if (0U == a_shape.Size()) { return; }
 
   MSHADOW_SGL_DBL_TYPE_SWITCH(grad_a.type_flag_, DType, {
-    // case m >= n; Q of same shape with A and R is (n, n)
-    DType *m_ptr = reinterpret_cast<DType*>(workspace.dptr_);
-    DType *grad_a_ptr = m_ptr + r_shape.Size();
-    TBlob temp_m(m_ptr, r_shape, xpu::kDevMask);
+    // common for all shapes (m, n)
+    DType *grad_a_ptr = reinterpret_cast<DType*>(workspace.dptr_);
     TBlob grad_a_data(grad_a_ptr, a_shape, xpu::kDevMask);
-    // dR_T
-    mxnet_op::Kernel<QrTypeTransposeHelper, xpu>::Launch(
-      s, r_shape.Size(), grad_r.dptr<DType>(), m_ptr, n, n, n * n);
-
-    qr_backward::op(grad_a_data.FlatToKD<xpu, 3, DType>(s),
-                    grad_q.FlatToKD<xpu, 3, DType>(s),
-                    grad_r.FlatToKD<xpu, 3, DType>(s),
-                    a.FlatToKD<xpu, 3, DType>(s),
-                    q.FlatToKD<xpu, 3, DType>(s),
-                    r.FlatToKD<xpu, 3, DType>(s),
-                    temp_m.FlatToKD<xpu, 3, DType>(s),
-                    ctx, attrs);
-
+    if (m >= n) {
+      // Q of same shape with A (m, n) and R is (n, n)
+      DType *m_ptr = grad_a_ptr + a_shape.Size();
+      TBlob temp_m(m_ptr, r_shape, xpu::kDevMask);
+      // dR_T
+      mxnet_op::Kernel<QrTypeTransposeHelper, xpu>::Launch(
+        s, r_shape.Size(), grad_r.dptr<DType>(), m_ptr, n, n, n * n);
+      qr_backward::op(grad_a_data.FlatToKD<xpu, 3, DType>(s),
+                      grad_q.FlatToKD<xpu, 3, DType>(s),
+                      grad_r.FlatToKD<xpu, 3, DType>(s),
+                      q.FlatToKD<xpu, 3, DType>(s),
+                      r.FlatToKD<xpu, 3, DType>(s),
+                      temp_m.FlatToKD<xpu, 3, DType>(s),
+                      ctx, attrs);
+    } else {
+      // R is same shape with A (m, n) and Q is (m, m)
+      // Partition A = (X | Y); R = (U | V)
+      // X and U are (m, m); Y and V are (m, n - m)
+      mxnet::TShape v_shape(q_shape);
+      v_shape[a_ndim - 1] = n - m;
+
+      DType *m_ptr = grad_a_ptr + a_shape.Size();
+      DType *u_ptr = m_ptr + q_shape.Size();
+      DType *dq_prime_ptr = u_ptr + q_shape.Size();
+      DType *dv_ptr = dq_prime_ptr + q_shape.Size();
+      DType *y_ptr = dv_ptr + v_shape.Size();
+      DType *du_ptr = y_ptr + v_shape.Size();
+      DType *dx_ptr = du_ptr + q_shape.Size();
+
+      TBlob temp_m(m_ptr, q_shape, xpu::kDevMask);
+      TBlob u_data(u_ptr, q_shape, xpu::kDevMask);
+      TBlob dq_prime_data(dq_prime_ptr, q_shape, xpu::kDevMask);
+      TBlob dv_data(dv_ptr, v_shape, xpu::kDevMask);
+      TBlob y_data(y_ptr, v_shape, xpu::kDevMask);
+      TBlob du_data(du_ptr, q_shape, xpu::kDevMask);
+      TBlob dx_data(dx_ptr, q_shape, xpu::kDevMask);
+
+      Tensor<xpu, 3, DType> R = r.FlatToKD<xpu, 3, DType>(s);
+      Tensor<xpu, 3, DType> dR = grad_r.FlatToKD<xpu, 3, DType>(s);
+      Tensor<xpu, 3, DType> Q = q.FlatToKD<xpu, 3, DType>(s);
+      Tensor<xpu, 3, DType> dQ = grad_q.FlatToKD<xpu, 3, DType>(s);
+      Tensor<xpu, 3, DType> dQ_prime = dq_prime_data.FlatToKD<xpu, 3, DType>(s);
+      Tensor<xpu, 3, DType> A = a.FlatToKD<xpu, 3, DType>(s);
+      Tensor<xpu, 3, DType> dA = grad_a_data.FlatToKD<xpu, 3, DType>(s);
+      Tensor<xpu, 3, DType> U = u_data.FlatToKD<xpu, 3, DType>(s);
+      Tensor<xpu, 3, DType> dU = du_data.FlatToKD<xpu, 3, DType>(s);
+      Tensor<xpu, 3, DType> dV = dv_data.FlatToKD<xpu, 3, DType>(s);
+      Tensor<xpu, 3, DType> Y = y_data.FlatToKD<xpu, 3, DType>(s);
+      Tensor<xpu, 3, DType> dX = dx_data.FlatToKD<xpu, 3, DType>(s);
+      Tensor<xpu, 3, DType> M = temp_m.FlatToKD<xpu, 3, DType>(s);
+
+      // U
+      for (index_t i = 0; i < R.size(0); ++i) {
+        const Tensor<xpu, 2, DType>& Ri = R[i];
+        const Tensor<xpu, 2, DType>& Ui = U[i];
+        Tensor<xpu, 2, DType> Um(Ri.dptr_, Shape2(m, m), Ri.stride_, s);
+        Copy(Ui, Um, s);
+      }
+      // dU
+      for (index_t i = 0; i < dR.size(0); ++i) {
+        const Tensor<xpu, 2, DType>& dRi = dR[i];
+        const Tensor<xpu, 2, DType>& dUi = dU[i];
+        Tensor<xpu, 2, DType> dUm(dRi.dptr_, Shape2(m, m), dRi.stride_, s);
+        Copy(dUi, dUm, s);
+      }
+      // Y
+      mxnet_op::Kernel<QrBackHelper_G1, xpu>::Launch(
+        s, A.size(0), m, n, A.dptr_, A.stride_, Y.dptr_, Y.stride_);
+      // dV
+      mxnet_op::Kernel<QrBackHelper_G1, xpu>::Launch(
+        s, dR.size(0), m, n, dR.dptr_, dR.stride_, dV.dptr_, dV.stride_);
+      // store dU_T in M
+      mxnet_op::Kernel<QrTypeTransposeHelper, xpu>::Launch(
+        s, q_shape.Size(), dU.dptr_, m_ptr, m, m, m * m);
+      // dq_prime = dQ
+      Copy(dQ_prime, dQ, s);
+      // dq_prime = dQ+Y@dV.T
+      gemm::op(Y, dV, dQ_prime, DType(1.0), DType(1.0), false, true, s);
+      // dX = op call
+      qr_backward::op(dX,
+                      dQ_prime,
+                      dU,
+                      Q,
+                      U,
+                      M,
+                      ctx, attrs);
+      // dY = Q@dV; reuse Y memory for dY
+      gemm::op(Q, dV, Y, DType(1.0), DType(0.0), false, false, s);
+      // copy dX and dY to dA
+      mxnet_op::Kernel<QrBackHelper_G2, xpu>::Launch(
+        s, dA.size(0), m, n, dX.dptr_, dX.stride_, Y.dptr_, Y.stride_, dA.dptr_, dA.stride_);
+    }
+    // common for all shapes
     MXNET_ASSIGN_REQ_SWITCH(req[0], req_type, {
-    mxnet_op::Kernel<assign_helper<req_type>, xpu>::Launch(
-      s, a_shape.Size(), grad_a_data.dptr<DType>(), grad_a.dptr<DType>());
+      mxnet_op::Kernel<assign_helper<req_type>, xpu>::Launch(
+        s, a_shape.Size(), grad_a_data.dptr<DType>(), grad_a.dptr<DType>());
     });
   });
 }
@@ -594,14 +723,8 @@ void NumpyLaQrBackward(const nnvm::NodeAttrs& attrs,
   const TBlob& q = inputs[3];
   const TBlob& r = inputs[4];
   const TBlob& grad_a = outputs[0];
-  const int a_ndim = a.shape_.ndim();
-  const int n = a.size(a_ndim - 1);
-  const int m = a.size(a_ndim - 2);
-
-  CHECK_LE(n, m)
-    << "QrBackward not implemented when ncols > nrows";
 
-  size_t workspace_size = QrBackwardWorkspaceSize<xpu>(a, r, grad_a);
+  size_t workspace_size = QrBackwardWorkspaceSize<xpu>(a, q, r, grad_a);
   Tensor<xpu, 1, char> workspace = ctx.requested[0]
     .get_space_typed<xpu, 1, char>(Shape1(workspace_size), ctx.get_stream<xpu>());
   QrBackwardImpl<xpu>(grad_a, grad_q, grad_r, a, q, r, req, workspace, ctx, attrs);
diff --git a/src/operator/numpy/np_einsum_op.cc b/src/operator/numpy/np_einsum_op.cc
index 522780f5f3ad..a89f1ad40de4 100644
--- a/src/operator/numpy/np_einsum_op.cc
+++ b/src/operator/numpy/np_einsum_op.cc
@@ -56,8 +56,8 @@
  */
 
 #include "./np_einsum_op-inl.h"
-#include <stdlib.h>
-#include <string.h>
+#include <cstdlib>
+#include <cstring>
 
 namespace mxnet {
 namespace op {
diff --git a/src/operator/numpy/np_elemwise_broadcast_logic_op.cc b/src/operator/numpy/np_elemwise_broadcast_logic_op.cc
index b191553f16da..9aacbc02b061 100644
--- a/src/operator/numpy/np_elemwise_broadcast_logic_op.cc
+++ b/src/operator/numpy/np_elemwise_broadcast_logic_op.cc
@@ -79,7 +79,9 @@ TBlob PrependAxes(const TBlob& src, const int dst_ndim) {
   return src.reshape(dst_shape);
 }
 
-struct TVMBinaryBroadcastCompute {
+
+template<typename xpu, typename OP>
+struct GetBinaryBroadcastCompute {
   const char* func;
   void operator()(const nnvm::NodeAttrs& attrs,
                   const mxnet::OpContext& ctx,
@@ -96,6 +98,38 @@ struct TVMBinaryBroadcastCompute {
     std::vector<int> type_codes;
     std::vector<TVMValue> values;
 
+    const TBlob& a = inputs[0];
+    const TBlob& b = inputs[1];
+    if (a.type_flag_ != b.type_flag_) {
+      if (outputs[0].shape_.Size() == 0U) return;
+      mxnet::TShape new_lshape, new_rshape, new_oshape;
+      const TBlob& lhs = inputs[0];
+      const TBlob& rhs = inputs[1];
+      const TBlob& out = outputs[0];
+      int ndim = BinaryBroadcastShapeCompact(lhs.shape_, rhs.shape_, out.shape_,
+                                            &new_lshape, &new_rshape, &new_oshape);
+      if (!ndim) {
+        ElemwiseBinaryOp::ComputeLogic<xpu, OP>(attrs, ctx, inputs, req, outputs);
+      } else {
+        if (req[0] == kNullOp) return;
+        mshadow::Stream<xpu> *s = ctx.get_stream<xpu>();
+        MSHADOW_TYPE_SWITCH_WITH_BOOL(lhs.type_flag_, DType, {
+          MSHADOW_TYPE_SWITCH_WITH_BOOL(rhs.type_flag_, EType, {
+            BROADCAST_NDIM_SWITCH(ndim, NDim, {
+              mshadow::Shape<NDim> oshape = new_oshape.get<NDim>();
+              mshadow::Shape<NDim> lstride = mxnet_op::calc_stride(new_lshape.get<NDim>());
+              mshadow::Shape<NDim> rstride = mxnet_op::calc_stride(new_rshape.get<NDim>());
+              mxnet_op::Kernel<mxnet_op::binary_broadcast_kernel<NDim, OP>, xpu>::
+              template LaunchEx(s, new_oshape.Size(), req[0], lstride, rstride, oshape,
+                                lhs.dptr<DType>(), rhs.dptr<EType>(),
+                                out.dptr<bool>());
+            });
+          });
+        });
+      }
+      return;
+    }
+
     const int ondim = outputs[0].shape_.ndim();
     const size_t num_args = inputs.size() + outputs.size();
     type_codes.resize(num_args);
@@ -146,13 +180,15 @@ MXNET_OPERATOR_REGISTER_NP_BINARY_LOGIC(logical_xor);
 
 #define MXNET_OPERATOR_REGISTER_NP_BINARY_LOGIC_CPU(name)                          \
   NNVM_REGISTER_OP(_npi_##name)                                                    \
-  .set_attr<FCompute>("FCompute<cpu>", TVMBinaryBroadcastCompute{func_##name##_cpu})
+  .set_attr<FCompute>("FCompute<cpu>", GetBinaryBroadcastCompute<cpu,              \
+                      mshadow_op::np_##name>{func_##name##_cpu})
 
 #if MXNET_USE_CUDA
 
 #define MXNET_OPERATOR_REGISTER_NP_BINARY_LOGIC_GPU(name)                          \
   NNVM_REGISTER_OP(_npi_##name)                                                    \
-  .set_attr<FCompute>("FCompute<gpu>", TVMBinaryBroadcastCompute{func_##name##_gpu})
+  .set_attr<FCompute>("FCompute<gpu>", GetBinaryBroadcastCompute<gpu,              \
+                      mshadow_op::np_##name>{func_##name##_gpu})
 
 MXNET_OPERATOR_REGISTER_NP_BINARY_LOGIC_GPU(equal);
 MXNET_OPERATOR_REGISTER_NP_BINARY_LOGIC_GPU(not_equal);
diff --git a/src/operator/numpy/np_indexing_op.cc b/src/operator/numpy/np_indexing_op.cc
new file mode 100644
index 000000000000..1f1fecc1c8f3
--- /dev/null
+++ b/src/operator/numpy/np_indexing_op.cc
@@ -0,0 +1,551 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+/*!
+ * Copyright (c) 2018 by Contributors
+ * \file np_indexing_op.cc
+*/
+
+#include "./np_indexing_op.h"
+
+namespace mxnet {
+namespace op {
+
+struct AdvancedIndexingTakeCPU {
+  // assume that idx have been flattened to a 1-D tensor (N,)
+  // assume that out_data and in_data have been flattened to 2-D tensors, (N, M) and (K, M)
+  // M is the number of columns of in_data and out_data
+  // K is the number of rows of in_data
+  // i is the index of out_data
+  template<typename DType, typename IType>
+  MSHADOW_XINLINE static void Map(index_t i, DType* out_data, const DType* in_data,
+                                  const IType* idx, const size_t M, const int64_t K) {
+    int64_t j = static_cast<int64_t>(idx[i]);
+    j = j % K;
+    j += (j < 0) ? K : 0;
+#pragma GCC diagnostic push
+#if __GNUC__ >= 8
+#pragma GCC diagnostic ignored "-Wclass-memaccess"
+#endif
+    std::memcpy(out_data + i * M, in_data + j * M, M * sizeof(DType));
+#pragma GCC diagnostic pop
+  }
+};
+
+struct AdvancedIndexingTakeMultiDimensionCPU {
+  // assume that idx have been flattened to a 1-D tensor (N,)
+  // assume that out_data and in_data have been flattened to 2-D tensors, (N, M) and (K, M)
+  // M is the number of columns of in_data and out_data
+  // K is the number of rows of in_data
+  // i is the index of out_data
+  template<typename DType, typename IType>
+  MSHADOW_XINLINE static void Map(index_t i, DType* out_data, const DType* in_data,
+                                  const IType* idx, const size_t M, const int64_t K) {
+    int64_t j = static_cast<int64_t>(idx[i]);
+    j = j % K;
+    j += (j < 0) ? K : 0;
+#pragma GCC diagnostic push
+#if __GNUC__ >= 8
+#pragma GCC diagnostic ignored "-Wclass-memaccess"
+#endif
+    std::memcpy(out_data + i * M, in_data + (i * K + j) * M, M * sizeof(DType));
+#pragma GCC diagnostic pop
+  }
+};
+
+struct AdvancedIndexingBooleanMaskBackwardCPUWriteKernel {
+  template<typename DType>
+  static void Map(int i,
+                  DType* igrad,
+                  const OpReqType /*req*/,
+                  const DType* ograd,
+                  const int32_t* idx,
+                  const size_t col_size) {
+    // i is row id already
+    int32_t prev = (i == 0) ? 0 : idx[i - 1];
+    int32_t curr = idx[i];
+#pragma GCC diagnostic push
+#if __GNUC__ >= 8
+#pragma GCC diagnostic ignored "-Wclass-memaccess"
+#endif
+    if (prev != curr) {
+      std::memcpy(igrad + i * col_size, ograd + prev * col_size, col_size * sizeof(DType));
+    } else {
+      std::memset(igrad + i * col_size, 0, col_size * sizeof(DType));
+    }
+#pragma GCC diagnostic pop
+  }
+};
+
+template<typename DType>
+bool CheckIndexOutOfBound(const DType* data_ptr, size_t data_size,
+                          const DType min, const DType max) {
+  bool is_valid = true;
+  for (size_t i = 0; i < data_size; i++) {
+    if (data_ptr[i] > max || data_ptr[i] < min) {
+      is_valid = false;
+      break;
+    }
+  }
+  return is_valid;
+}
+
+template<typename DType>
+void GatherNDCheckBoundCPU(mshadow::Stream<cpu> *s, const DType* idx_ptr, index_t N,
+                        index_t M, const mshadow::Shape<10> mshape, DType* is_valid_dim_ptr) {
+  using namespace mxnet_op;
+  Kernel<set_zero, cpu>::Launch(s, M, is_valid_dim_ptr);
+  Kernel<is_valid_check_gather_nd, cpu>::Launch(s, M, is_valid_dim_ptr, idx_ptr, N, mshape);
+  for (int m = 0; m < M; m++) {
+    if (is_valid_dim_ptr[m] > mshape[m] - 1 || is_valid_dim_ptr[m] < - mshape[m]) {
+      LOG(FATAL)<< "IndexError: index " << is_valid_dim_ptr[m] << " is out of bounds for axis "
+        << m << " with size " << mshape[m];
+    }
+  }
+}
+
+inline bool AdvancedIndexingOpType(const nnvm::NodeAttrs& attrs,
+                       std::vector<int> *in_attrs,
+                       std::vector<int> *out_attrs) {
+  CHECK_EQ(in_attrs->size(), 2U);
+  CHECK_EQ(out_attrs->size(), 1U);
+  CHECK_NE((*in_attrs)[1], -1) << "Index type must be set for take operator";
+
+  TYPE_ASSIGN_CHECK(*out_attrs, 0, (*in_attrs)[0]);
+  TYPE_ASSIGN_CHECK(*in_attrs, 0, (*out_attrs)[0]);
+  return (*in_attrs)[0] != -1;
+}
+
+bool AdvancedIndexingOpStorageType(const nnvm::NodeAttrs& attrs,
+                            const int dev_mask,
+                            DispatchMode* dispatch_mode,
+                            std::vector<int> *in_attrs,
+                            std::vector<int> *out_attrs) {
+  CHECK_EQ(in_attrs->size(), 2);
+  CHECK_EQ(out_attrs->size(), 1);
+  for (int &attr : *in_attrs) {
+    CHECK_EQ(attr, kDefaultStorage) << "Only default storage is supported";
+  }
+  for (int &attr : *out_attrs) {
+    attr = kDefaultStorage;
+  }
+  *dispatch_mode = DispatchMode::kFComputeEx;
+  return true;
+}
+
+bool AdvancedIndexingOpBackStorageType(const nnvm::NodeAttrs& attrs,
+                                const int dev_mask,
+                                DispatchMode* dispatch_mode,
+                                std::vector<int> *in_attrs,
+                                std::vector<int> *out_attrs) {
+  CHECK_EQ(in_attrs->size(), 3);
+  CHECK_EQ(out_attrs->size(), 2);
+  for (int &attr : *in_attrs) {
+    CHECK_EQ(attr, kDefaultStorage) << "Only default storage is supported";
+  }
+  for (int &attr : *out_attrs) {
+    attr = kDefaultStorage;
+  }
+  for (int & out_attr : *out_attrs)
+    out_attr = kDefaultStorage;
+  *dispatch_mode = DispatchMode::kFComputeEx;
+  return true;
+}
+
+template<>
+void AdvancedIndexingOpForward<cpu>(const nnvm::NodeAttrs& attrs,
+                        const OpContext& ctx,
+                        const std::vector<NDArray>& inputs,
+                        const std::vector<OpReqType>& req,
+                        const std::vector<NDArray>& outputs) {
+  using namespace mxnet_op;
+  if (req[np_indexing_::kOut] == kNullOp) return;
+  CHECK_EQ(inputs.size(), 2U);
+  CHECK_EQ(outputs.size(), 1U);
+
+  if (inputs[np_indexing_::kIdx].dtype() == mshadow::kBool) {
+    CHECK(req[0] == kWriteTo || req[0] == kWriteInplace);
+    const NDArray &data = inputs[0];
+    const NDArray &idx = inputs[1];
+    const NDArray &out = outputs[0];
+    CHECK_EQ(data.shape()[0], idx.shape()[0]);
+    CHECK_EQ(idx.shape().ndim(), 1U);  // idx is required to be 1-d.
+    // count the number of 1s in `idx`, so that we could know the output dimension
+    size_t idx_size = idx.shape()[0];
+    std::vector<int32_t> prefix_sum(idx_size, 0);
+    size_t valid_num = 0;
+    // Calculate prefix sum
+    bool* idx_dptr = idx.data().dptr<bool>();
+    for (size_t i = 0; i < idx_size; i++) {
+      prefix_sum[i] = (i == 0) ? 0 : prefix_sum[i - 1];
+      prefix_sum[i] += (idx_dptr[i]) ? 1 : 0;
+    }
+    valid_num = prefix_sum[idx_size - 1];
+    // set the output shape forcefully
+    mxnet::TShape s = data.shape();
+    s[0] = valid_num;
+
+    const_cast<NDArray &>(out).Init(s);
+    // do the copy
+    MSHADOW_TYPE_SWITCH_WITH_BOOL(data.dtype(), DType, {
+      size_t input_size = data.shape().Size();
+      size_t col_size = input_size / idx_size;
+      mshadow::Stream<cpu> *stream = ctx.get_stream<cpu>();
+      mxnet_op::Kernel<BooleanMaskForwardCPUKernel, cpu>::Launch(
+        stream, idx_size, out.data().dptr<DType>(), data.data().dptr<DType>(),
+        prefix_sum.data(), col_size);
+    });
+  } else if (inputs[np_indexing_::kIdx].dtype() == mshadow::kInt8 ||
+             inputs[np_indexing_::kIdx].dtype() == mshadow::kInt16 ||
+             inputs[np_indexing_::kIdx].dtype() == mshadow::kInt32 ||
+             inputs[np_indexing_::kIdx].dtype() == mshadow::kInt64) {
+    using namespace mshadow;
+    const mxnet::TShape& idxshape = inputs[np_indexing_::kIdx].shape();
+    const mxnet::TShape& arrshape = inputs[np_indexing_::kArr].shape();
+
+    if (idxshape.Size() == 0) {
+      return;
+    }
+
+    mxnet::TShape oshape(idxshape.ndim() + arrshape.ndim() - 1, -1);
+    for (index_t i = 0; i < idxshape.ndim(); ++i) {
+      oshape[i] = idxshape[i];
+    }
+    for (index_t i = 0; i < arrshape.ndim(); i++) {
+      if (i < 0) {
+        oshape[i] = arrshape[i];
+      } else if (i > 0) {
+        oshape[i + idxshape.ndim() - 1] = arrshape[i];
+      }
+    }
+
+    const NDArray &out = outputs[0];
+    const_cast<NDArray &>(out).Init(oshape);
+
+    Stream<cpu> *s = ctx.get_stream<cpu>();
+
+    MSHADOW_TYPE_SWITCH_WITH_BOOL(outputs[np_indexing_::kOut].dtype(), DType, {  // output data type
+      MSHADOW_TYPE_SWITCH_WITH_BOOL(inputs[np_indexing_::kIdx].dtype(), IType, {  // index data type
+        IType min = 0;
+        IType max = static_cast<IType>(arrshape[0] - 1);
+        // check with single thread is faster since data is small
+        IType* idx_ptr = inputs[np_indexing_::kIdx].data().dptr<IType>();
+        size_t idx_size = idxshape.Size();
+        bool is_valid = CheckIndexOutOfBound(idx_ptr, idx_size, min, max);
+        CHECK(is_valid) << "take operator contains indices out of bound";
+        Kernel<AdvancedIndexingTakeCPU, cpu>::Launch(s, idxshape.Size(),
+                                                  outputs[np_indexing_::kOut].data().dptr<DType>(),
+                                                  inputs[np_indexing_::kArr].data().dptr<DType>(),
+                                                  inputs[np_indexing_::kIdx].data().dptr<IType>(),
+                                                  oshape.Size()/idxshape.Size(), arrshape[0]);
+      });
+    });
+  } else {
+    LOG(FATAL)
+    << "arrays used as indices must be explictly declared as integer (or boolean) type. "
+    << "Use np.astype() to cast indices to integer or boolean.";
+  }
+}
+
+template<>
+void AdvancedIndexingOpBackward<cpu>(const nnvm::NodeAttrs& attrs,
+                                     const OpContext &ctx,
+                                     const std::vector<NDArray> &inputs,
+                                     const std::vector<OpReqType> &req,
+                                     const std::vector<NDArray> &outputs) {
+  CHECK_EQ(inputs.size(), 3U);
+  CHECK_EQ(outputs.size(), 2U);
+  if (req[0] == kNullOp) return;
+
+  if (inputs[np_indexing_::kIdx+1].dtype() == mshadow::kBool) {
+    // inputs: {ograd, data, idx}
+    // outputs: {igrad_data, igrad_idx}
+    const NDArray& ograd = inputs[0];
+    const NDArray& idx = inputs[2];
+    const NDArray& igrad_data = outputs[0];
+    MSHADOW_TYPE_SWITCH(igrad_data.dtype(), DType, {
+      MSHADOW_TYPE_SWITCH_WITH_BOOL(idx.dtype(), IType, {
+        size_t input_size = igrad_data.shape().Size();
+        size_t idx_size = idx.shape()[0];
+        size_t col_size = input_size / idx_size;
+        std::vector<int32_t> prefix_sum(idx_size, 0);
+        bool* idx_dptr = idx.data().dptr<bool>();
+        for (size_t i = 0; i < idx_size; i++) {
+          prefix_sum[i] = (i == 0) ? 0 : prefix_sum[i - 1];
+          prefix_sum[i] += (idx_dptr[i]) ? 1 : 0;
+        }
+        mshadow::Stream<cpu> *stream = ctx.get_stream<cpu>();
+        if (req[0] == kAddTo) {
+          mxnet_op::Kernel<BooleanMaskBackwardKernel, cpu>::Launch(
+            stream, idx_size, igrad_data.data().dptr<DType>(), req[0],
+            ograd.data().dptr<DType>(), prefix_sum.data(), col_size);
+        } else {
+          mxnet_op::Kernel<AdvancedIndexingBooleanMaskBackwardCPUWriteKernel, cpu>::Launch(
+            stream, idx_size, igrad_data.data().dptr<DType>(), req[0],
+            ograd.data().dptr<DType>(), prefix_sum.data(), col_size);
+        }
+      });
+    });
+  } else if (inputs[np_indexing_::kIdx+1].dtype() == mshadow::kInt8 ||
+             inputs[np_indexing_::kIdx+1].dtype() == mshadow::kInt16 ||
+             inputs[np_indexing_::kIdx+1].dtype() == mshadow::kInt32 ||
+             inputs[np_indexing_::kIdx+1].dtype() == mshadow::kInt64) {
+    using namespace mshadow;
+    using namespace mshadow::expr;
+    CHECK_NE(req[np_indexing_::kIdx], kAddTo)
+      << "take layer doesn't support gradient of req type kAddTo to index";
+
+    // grad_out is the gradient of the outputs in the feed-forward
+    // grad_in is the gradient of the inputs in the feed-forward
+    Stream<cpu> *s = ctx.get_stream<cpu>();
+
+    MSHADOW_TYPE_SWITCH(outputs[0].dtype(), DType, {  // output data type
+      MSHADOW_TYPE_SWITCH(inputs[2].dtype(), IType, {  // index data type
+        // inputs are specified in the .cc file, which are the gradients from
+        // the upper layer and the input index
+        // outputs are the gradients of inputs in the feed-forward pass
+        const mxnet::TShape& idxshape = inputs[2].shape();
+        const mxnet::TShape& arrshape = outputs[0].shape();
+        const mxnet::TShape& oshape = inputs[0].shape();
+
+        if (idxshape.Size() == 0) {
+          return;
+        }
+
+        if (req[np_indexing_::kIdx] != kNullOp) {
+          mxnet_op::Kernel<mxnet_op::set_zero, cpu>::Launch(
+            s, idxshape.Size(), outputs[np_indexing_::kIdx].data().dptr<IType>());
+        }
+
+        int idxndim = idxshape.ndim();
+        Tensor<cpu, 1, IType> idx = inputs[2].data().get_with_shape<cpu, 1, IType>(
+            Shape1(idxshape.ProdShape(0, idxndim)), s);
+        Tensor<cpu, 2, DType> grad_out = inputs[0].data().get_with_shape<cpu, 2, DType>(
+            Shape2(oshape.ProdShape(0, idxndim), oshape.ProdShape(idxndim, oshape.ndim())), s);
+        Tensor<cpu, 2, DType> grad_in = outputs[0].data().get_with_shape<cpu, 2, DType>(
+            Shape2(arrshape[0], arrshape.ProdShape(1, arrshape.ndim())), s);
+
+        // re-using the previous code for axis = 0 case
+        if (req[np_indexing_::kArr] == kWriteTo || req[np_indexing_::kArr] == kAddTo) {
+          if (req[np_indexing_::kArr] == kWriteTo) {
+            grad_in = scalar<DType>(0.0f);
+          }
+          AddTakeGrad<false>(grad_in, idx, grad_out);
+        } else {
+          LOG(FATAL) << "wrong req";
+        }
+      });
+    });
+  } else {
+    LOG(FATAL)
+    << "arrays used as indices must be explictly declared as integer (or boolean) type. "
+    << "Use np.astype() to cast indices to integer or boolean.";
+  }
+}
+
+void AdvancedIndexingMultipleForwardCPU(const nnvm::NodeAttrs& attrs,
+                     const OpContext& ctx,
+                     const std::vector<TBlob>& inputs,
+                     const std::vector<OpReqType>& req,
+                     const std::vector<TBlob>& outputs) {
+  using namespace mxnet_op;
+  using namespace mshadow;
+  CHECK_EQ(inputs.size(), 2U);
+  CHECK_EQ(outputs.size(), 1U);
+  if (req[0] == kNullOp) return;
+
+  if (inputs[np_indexing_::kIdx].type_flag_ == mshadow::kBool) {
+    LOG(FATAL)
+    << "Multi-dimension boolean indexing is not supported.";
+  } else if (inputs[np_indexing_::kIdx].type_flag_ == mshadow::kInt8 ||
+             inputs[np_indexing_::kIdx].type_flag_ == mshadow::kInt16 ||
+             inputs[np_indexing_::kIdx].type_flag_ == mshadow::kInt32 ||
+             inputs[np_indexing_::kIdx].type_flag_ == mshadow::kInt64) {
+    mshadow::Stream<cpu> *s = ctx.get_stream<cpu>();
+    const mxnet::TShape& dshape = inputs[0].shape_;
+    const mxnet::TShape& ishape = inputs[1].shape_;
+    int M = ishape[0];
+    int N = ishape.Size() / M;
+    int K = dshape.ProdShape(M, dshape.ndim());
+    mshadow::Shape<10> strides;
+    mshadow::Shape<10> mshape;
+    for (int i = M-1, stride = K; i >= 0; stride *= dshape[i], --i) {
+      strides[i] = stride;
+      mshape[i] = dshape[i];
+    }
+    MSHADOW_TYPE_SWITCH_WITH_BOOL(inputs[0].type_flag_, DType, {  // output data type switch
+      MSHADOW_TYPE_SWITCH(inputs[1].type_flag_, IType, {  // indices data type switch
+        // check whether indices are out of bound
+        IType* idx_ptr = inputs[1].dptr<IType>();
+        Tensor<cpu, 1, IType> workspace =
+          ctx.requested[0].get_space_typed<cpu, 1, IType>(Shape1(M), s);
+        IType* is_valid_dim_ptr = reinterpret_cast<IType*>(workspace.dptr_);
+        GatherNDCheckBoundCPU(s, idx_ptr, N, M, mshape, is_valid_dim_ptr);
+        Kernel<gather_nd, cpu>::Launch(
+          s, N, req[0], N, M, K, strides, mshape, outputs[0].dptr<DType>(),
+          inputs[0].dptr<DType>(), inputs[1].dptr<IType>());
+      });
+    });
+  } else {
+    LOG(FATAL)
+    << "arrays used as indices must be explictly declared as integer (or boolean) type."
+    << "Use np.astype() to cast indices to integer or boolean.";
+  }
+}
+
+template<typename DType, typename IType>
+inline typename std::enable_if<(!std::is_same<DType, mshadow::half::half_t>::value), void>::type
+GatherNDBackwardImpl(index_t N, index_t M, index_t K,
+                     const mshadow::Shape<10> strides,
+                     DType* out,
+                     const DType* data,
+                     const IType* indices,
+                     mshadow::Stream<cpu> *s) {
+#pragma omp parallel for
+  for (index_t i = 0; i < N; i++) {
+    index_t offset = 0;
+    for (index_t j = 0; j < M; ++j) {
+      offset += strides[j] * static_cast<index_t>(indices[j*N + i]);
+    }
+    for (index_t j = 0; j < K; ++j) {
+#pragma omp atomic
+      out[offset + j] += data[i * K + j];
+    }
+  }
+}
+
+template<typename DType, typename IType>
+inline typename std::enable_if<std::is_same<DType, mshadow::half::half_t>::value, void>::type
+GatherNDBackwardImpl(index_t N, index_t M, index_t K,
+                     const mshadow::Shape<10> strides,
+                     DType* out,
+                     const DType* data,
+                     const IType* indices,
+                     mshadow::Stream<cpu> *s) {
+  for (index_t i = 0; i < N; i++) {
+    index_t offset = 0;
+    for (index_t j = 0; j < M; ++j) {
+      offset += strides[j] * static_cast<index_t>(indices[j*N + i]);
+    }
+    for (index_t j = 0; j < K; ++j) {
+      out[offset + j] += data[i * K + j];
+    }
+  }
+}
+
+NNVM_REGISTER_OP(_npi_advanced_indexing)
+.describe(R"code(
+Combination of boolean indexing and advanced ndarray indexing
+)code" ADD_FILELINE)
+.set_num_inputs(2)
+.set_num_outputs(1)
+.set_attr<nnvm::FListInputNames>("FListInputNames",
+  [](const NodeAttrs& attrs) {
+    return std::vector<std::string>{"data", "indices"};
+  })
+.set_attr<nnvm::FInferType>("FInferType", AdvancedIndexingOpType)
+.set_attr<FComputeEx>("FComputeEx<cpu>", AdvancedIndexingOpForward<cpu>)
+.set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseIn{"_backward_np_advanced_indexing"})
+.set_attr<FInferStorageType>("FInferStorageType", AdvancedIndexingOpStorageType)
+.add_argument("data", "NDArray-or-Symbol", "Data")
+.add_argument("indices", "NDArray-or-Symbol", "Indices");
+
+NNVM_REGISTER_OP(_backward_np_advanced_indexing)
+.set_num_inputs(3)
+.set_num_outputs(2)
+.set_attr<FResourceRequest>("FResourceRequest",
+  [](const NodeAttrs& attrs) {
+    return std::vector<ResourceRequest>{ResourceRequest::kTempSpace};
+  })
+.set_attr<nnvm::TIsBackward>("TIsBackward", true)
+.set_attr<FInferStorageType>("FInferStorageType", AdvancedIndexingOpBackStorageType)
+.set_attr<FComputeEx>("FComputeEx<cpu>", AdvancedIndexingOpBackward<cpu>);
+
+NNVM_REGISTER_OP(_npi_advanced_indexing_multiple)
+.describe(R"code(
+Combination of multiple boolean indexing and advanced indexing
+)code")
+.set_num_outputs(1)
+.set_num_inputs(2)
+.set_attr<nnvm::FListInputNames>("FListInputNames",
+  [](const NodeAttrs& attrs) {
+    return std::vector<std::string>{"data", "indices"};
+  })
+.set_attr<mxnet::FInferShape>("FInferShape", GatherNDShape)
+.set_attr<nnvm::FInferType>("FInferType", GatherNDType)
+.set_attr<FResourceRequest>("FResourceRequest",
+  [](const NodeAttrs& attrs) {
+    return std::vector<ResourceRequest>{ResourceRequest::kTempSpace};
+  })
+.set_attr<FCompute>("FCompute<cpu>", AdvancedIndexingMultipleForwardCPU)
+.set_attr<nnvm::FGradient>("FGradient",
+  [](const nnvm::ObjectPtr& n, const std::vector<nnvm::NodeEntry>& ograds) {
+    auto p = nnvm::Node::Create();
+    p->attrs.op = nnvm::Op::Get("_backward_np_advanced_indexing_multiple");
+    p->attrs.name = n->attrs.name + "_backward";
+    p->inputs.push_back(ograds[0]);
+    p->inputs.push_back(n->inputs[1]);
+    p->control_deps.emplace_back(n);
+    auto zero = MakeNode("zeros_like", n->attrs.name + "_backward_indices",
+                         {n->inputs[1]}, nullptr, &n);
+
+    std::vector<nnvm::NodeEntry> ret;
+    ret.emplace_back(p);
+    ret.emplace_back(zero);
+    return ret;
+  })
+.set_attr<nnvm::TIsBackward>("TIsBackward", true)
+.add_argument("data", "NDArray-or-Symbol", "data")
+.add_argument("indices", "NDArray-or-Symbol", "indices");
+
+NNVM_REGISTER_OP(_backward_np_advanced_indexing_multiple)
+.describe(R"code(Accumulates data according to indices and get the result. It's the backward of
+`_npi_advanced_indexing_multiple`.
+)code")
+.set_num_outputs(1)
+.set_num_inputs(2)
+.set_attr_parser(ParamParser<ScatterNDParam>)
+.set_attr<nnvm::FListInputNames>("FListInputNames",
+  [](const NodeAttrs& attrs) {
+    return std::vector<std::string>{"data", "indices"};
+  })
+.set_attr<mxnet::FInferShape>("FInferShape", ScatterNDShape)
+.set_attr<nnvm::FInferType>("FInferType", ScatterNDType)
+.set_attr<FCompute>("FCompute<cpu>", AdvancedIndexingMultipleBackward<cpu>)
+.set_attr<nnvm::FGradient>("FGradient",
+  [](const nnvm::ObjectPtr& n, const std::vector<nnvm::NodeEntry>& ograds) {
+    auto p = nnvm::Node::Create();
+    p->attrs.op = nnvm::Op::Get("_npi_advanced_indexing_multiple");
+    p->attrs.name = n->attrs.name + "_backward";
+    p->inputs.push_back(ograds[0]);
+    p->inputs.push_back(n->inputs[1]);
+    p->control_deps.emplace_back(n);
+    auto zero = MakeNode("zeros_like", n->attrs.name + "_backward_indices",
+                         {n->inputs[1]}, nullptr, &n);
+    std::vector<nnvm::NodeEntry> ret;
+    ret.emplace_back(p);
+    ret.emplace_back(zero);
+    return ret;
+  })
+.set_attr<nnvm::TIsBackward>("TIsBackward", true)
+.add_argument("data", "NDArray-or-Symbol", "data")
+.add_argument("indices", "NDArray-or-Symbol", "indices")
+.add_arguments(ScatterNDParam::__FIELDS__());
+
+}  // namespace op
+}  // namespace mxnet
diff --git a/src/operator/numpy/np_indexing_op.cu b/src/operator/numpy/np_indexing_op.cu
new file mode 100644
index 000000000000..f7ed4784de2d
--- /dev/null
+++ b/src/operator/numpy/np_indexing_op.cu
@@ -0,0 +1,452 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+/*!
+ * Copyright (c) 2018 by Contributors
+ * \file np_indexing_op.cu
+*/
+
+#include "./np_indexing_op.h"
+#include <cub/cub.cuh>
+
+namespace mxnet {
+namespace op {
+
+/*! \brief If there are out-of-bound indices, out will be assigned to 1.
+ */
+struct is_valid_check {
+  template<typename DType>
+  MSHADOW_XINLINE static void Map(int i, char* out, const DType* data,
+                                  const DType min, const DType max) {
+    if (data[i] < min || data[i] > max) *out = 1;
+  }
+};
+
+template<typename DType>
+bool CheckIndexOutOfBound(mshadow::Stream<gpu> *s, const DType* data_ptr, size_t data_size,
+                            const DType min, const DType max, char* is_valid_ptr) {
+    using namespace mxnet_op;
+    int32_t is_valid = 0;
+    Kernel<set_zero, gpu>::Launch(s, 1, is_valid_ptr);
+    Kernel<is_valid_check, gpu>::Launch(s, data_size, is_valid_ptr, data_ptr, min, max);
+    CUDA_CALL(cudaMemcpyAsync(&is_valid, is_valid_ptr, sizeof(char),
+                            cudaMemcpyDeviceToHost, mshadow::Stream<gpu>::GetStream(s)));
+    CUDA_CALL(cudaStreamSynchronize(mshadow::Stream<gpu>::GetStream(s)));
+    return is_valid == 0;
+}
+
+struct AdvancedIndexingTakeGPU {
+    // assume that idx have been flattened to a 1-D tensor (N,)
+    // assume that out_data and in_data have been flattened to 2-D tensors, (N, M) and (K, M)
+    // M is the number of columns of in_data and out_data
+    // K is the number of rows of in_data
+    // i is the index of out_data
+    template<typename DType, typename IType>
+    MSHADOW_XINLINE static void Map(int i, DType* out_data, const DType* in_data,
+                                    const IType* idx, const int64_t M, const int64_t K) {
+      int64_t j = static_cast<int64_t>(idx[i]);
+      j = j % K;
+      j += (j < 0) ? K : 0;
+
+      for (int64_t k = 0; k < M; k++){
+        out_data[i * M + k] = in_data[j * M + k];
+      }
+    }
+};
+
+struct AdvancedIndexingTakeMultiDimensionGPU {
+    // assume that idx have been flattened to a 1-D tensor (N,)
+    // assume that out_data and in_data have been flattened to 2-D tensors, (N, M) and (K, M)
+    // M is the number of columns of in_data and out_data
+    // K is the number of rows of in_data
+    // i is the index of out_data
+    template<typename DType, typename IType>
+    MSHADOW_XINLINE static void Map(int i, DType* out_data, const DType* in_data,
+                                    const IType* idx, const int64_t M, const int64_t K) {
+      int64_t j = static_cast<int64_t>(idx[i]);
+      j = j % K;
+      j += (j < 0) ? K : 0;
+
+      for (int64_t k = 0; k < M; k++){
+        out_data[i * M + k] = in_data[(i * k + j) * M + k];
+      }
+    }
+};
+
+template<>
+inline void AdvancedIndexingOpForward<gpu>(const nnvm::NodeAttrs& attrs,
+                                    const OpContext &ctx,
+                                    const std::vector<NDArray> &inputs,
+                                    const std::vector<OpReqType> &req,
+                                    const std::vector<NDArray> &outputs) {
+  using namespace mshadow;
+  CHECK_EQ(inputs.size(), 2U);
+  CHECK_EQ(outputs.size(), 1U);
+
+  if (inputs[np_indexing_::kIdx].dtype() == mshadow::kBool) {
+    CHECK(req[0] == kWriteTo || req[0] == kWriteInplace);
+    const int axis = 0;
+    const NDArray &data = inputs[0];
+    const NDArray &idx = inputs[1];
+    const NDArray &out = outputs[0];
+    CHECK_EQ(axis, 0) << "Not supported yet";
+    CHECK_EQ(data.shape()[axis], idx.shape()[0]);
+    CHECK_EQ(idx.shape().ndim(), 1U);
+    Stream<gpu>* s = ctx.get_stream<gpu>();
+    cudaStream_t stream = Stream<gpu>::GetStream(s);
+    // count the number of 1s in `idx`, so that we could know the output dimension
+    size_t idx_size = idx.shape()[0];
+    int32_t valid_num = 0;
+    int32_t* prefix_sum = nullptr;
+    void* d_temp_storage = nullptr;
+    size_t temp_storage_bytes = 0;
+    // Calculate total temporary memory size
+    cub::DeviceScan::InclusiveSum(d_temp_storage,
+                                    temp_storage_bytes,
+                                    prefix_sum,
+                                    prefix_sum,
+                                    idx_size,
+                                    stream);
+    size_t buffer_size = idx_size * sizeof(int32_t);
+    temp_storage_bytes += buffer_size;
+    // Allocate memory on GPU and allocate pointer
+    Tensor<gpu, 1, char> workspace =
+        ctx.requested[0].get_space_typed<gpu, 1, char>(Shape1(temp_storage_bytes), s);
+    prefix_sum = reinterpret_cast<int32_t*>(workspace.dptr_);
+    d_temp_storage = workspace.dptr_ + buffer_size;
+    mxnet_op::Kernel<mshadow_op::identity_with_cast, gpu>::Launch(
+    s, idx.shape()[0], prefix_sum, idx.data().dptr<bool>());
+    // Calculate prefix sum
+    cub::DeviceScan::InclusiveSum(d_temp_storage,
+                                    temp_storage_bytes,
+                                    prefix_sum,
+                                    prefix_sum,
+                                    idx_size,
+                                    stream);
+    CUDA_CALL(cudaMemcpyAsync(&valid_num, &prefix_sum[idx_size - 1], sizeof(int32_t),
+                                cudaMemcpyDeviceToHost, stream));
+    CUDA_CALL(cudaStreamSynchronize(stream));
+
+    // Set the output shape forcefully
+    mxnet::TShape data_shape = data.shape();
+    data_shape[axis] = valid_num;
+    const_cast<NDArray &>(out).Init(data_shape);
+    size_t input_size = data.shape().Size();
+    size_t col_size = input_size / idx.shape()[0];
+    // Do the copy
+    MSHADOW_TYPE_SWITCH_WITH_BOOL(out.dtype(), DType, {
+        if (valid_num > 0) {
+        mxnet_op::Kernel<BooleanMaskForwardKernel, gpu>::Launch(
+            s, input_size, out.data().dptr<DType>(),
+            data.data().dptr<DType>(), prefix_sum, col_size);
+        }
+    });
+} else if (inputs[np_indexing_::kIdx].dtype() == mshadow::kInt8 ||
+           inputs[np_indexing_::kIdx].dtype() == mshadow::kInt16 ||
+           inputs[np_indexing_::kIdx].dtype() == mshadow::kInt32 ||
+           inputs[np_indexing_::kIdx].dtype() == mshadow::kInt64) {
+    using namespace mxnet_op;
+    const mxnet::TShape& idxshape = inputs[np_indexing_::kIdx].shape();
+    const mxnet::TShape& arrshape = inputs[np_indexing_::kArr].shape();
+
+    if (idxshape.Size() == 0) {
+        return;
+    }
+
+    mxnet::TShape oshape(idxshape.ndim() + arrshape.ndim() - 1, -1);
+    for (index_t i = 0; i < idxshape.ndim(); ++i) {
+        oshape[i] = idxshape[i];
+    }
+    for (index_t i = 0; i < arrshape.ndim(); i++) {
+        if (i < 0) {
+        oshape[i] = arrshape[i];
+        } else if (i > 0) {
+        oshape[i + idxshape.ndim() - 1] = arrshape[i];
+        }
+    }
+
+    const NDArray &out = outputs[0];
+    const_cast<NDArray &>(out).Init(oshape);
+
+    Stream<gpu> *s = ctx.get_stream<gpu>();
+
+    MSHADOW_TYPE_SWITCH(outputs[np_indexing_::kOut].dtype(), DType, {  // output data type
+        MSHADOW_TYPE_SWITCH(inputs[np_indexing_::kIdx].dtype(), IType, {
+        IType min = 0;
+        IType max = static_cast<IType>(arrshape[0] - 1);
+        // check with single thread is faster since data is small
+        IType* idx_ptr = inputs[np_indexing_::kIdx].data().dptr<IType>();
+        size_t idx_size = idxshape.Size();
+        Tensor<gpu, 1, char> workspace =
+          ctx.requested[0].get_space_typed<gpu, 1, char>(Shape1(1), s);
+        char* is_valid_ptr = reinterpret_cast<char*>(workspace.dptr_);
+        bool is_valid = CheckIndexOutOfBound(s, idx_ptr, idx_size, min, max, is_valid_ptr);
+        CHECK(is_valid) << "take operator contains indices out of bound";
+        Kernel<AdvancedIndexingTakeGPU, gpu>::Launch(s, idxshape.Size(),
+                        outputs[np_indexing_::kOut].data().dptr<DType>(),
+                        inputs[np_indexing_::kArr].data().dptr<DType>(),
+                        inputs[np_indexing_::kIdx].data().dptr<IType>(),
+                        oshape.Size()/idxshape.Size(), arrshape[0]);
+        });
+    });
+  } else {
+    LOG(FATAL)
+    << "arrays used as indices must be explictly declared as integer (or boolean) type. "
+    << "Use np.astype() to cast indices to integer or boolean.";
+  }
+}
+
+template<>
+inline void AdvancedIndexingOpBackward<gpu>(const nnvm::NodeAttrs& attrs,
+                                     const OpContext &ctx,
+                                     const std::vector<NDArray> &inputs,
+                                     const std::vector<OpReqType> &req,
+                                     const std::vector<NDArray> &outputs) {
+  using namespace mshadow;
+  CHECK_EQ(inputs.size(), 3U);
+  CHECK_EQ(outputs.size(), 2U);
+  if (req[0] == kNullOp) return;
+
+  if (inputs[np_indexing_::kIdx+1].dtype() == mshadow::kBool) {
+    // inputs: {ograd, data, idx}
+    // outputs: {igrad_data, igrad_idx}
+    const NDArray& ograd = inputs[0];
+    const NDArray& idx = inputs[2];
+    const NDArray& igrad_data = outputs[0];
+    Stream<gpu>* s = ctx.get_stream<gpu>();
+    cudaStream_t stream = Stream<gpu>::GetStream(s);
+    // Count the number of 1s in `idx`, so that we could know the output dimension
+    size_t idx_size = idx.shape()[0];
+    int32_t* prefix_sum = nullptr;
+    void* d_temp_storage = nullptr;
+    size_t temp_storage_bytes = 0;
+    // Calculate total temporary memory size
+    cub::DeviceScan::InclusiveSum(d_temp_storage,
+                                    temp_storage_bytes,
+                                    prefix_sum,
+                                    prefix_sum,
+                                    idx_size,
+                                    stream);
+    size_t buffer_size = idx_size * sizeof(int32_t);
+    temp_storage_bytes += buffer_size;
+    // Allocate memory on GPU and allocate pointer
+    Tensor<gpu, 1, char> workspace =
+        ctx.requested[0].get_space_typed<gpu, 1, char>(Shape1(temp_storage_bytes), s);
+    prefix_sum = reinterpret_cast<int32_t*>(workspace.dptr_);
+    d_temp_storage = workspace.dptr_ + buffer_size;
+    MSHADOW_TYPE_SWITCH_WITH_BOOL(idx.dtype(), IType, {
+        mxnet_op::Kernel<mshadow_op::identity_with_cast, gpu>::Launch(
+        s, idx.shape()[0], prefix_sum, idx.data().dptr<IType>());
+    });
+    // Calculate prefix sum
+    cub::DeviceScan::InclusiveSum(d_temp_storage,
+                                    temp_storage_bytes,
+                                    prefix_sum,
+                                    prefix_sum,
+                                    idx_size,
+                                    stream);
+    size_t input_size = igrad_data.shape().Size();
+    size_t col_size = input_size / idx_size;
+    // Backward pass
+    MSHADOW_TYPE_SWITCH(igrad_data.dtype(), DType, {
+        if (input_size > 0) {
+        mxnet_op::Kernel<BooleanMaskBackwardKernel, gpu>::Launch(
+            s, input_size, igrad_data.data().dptr<DType>(), req[0], ograd.data().dptr<DType>(),
+            prefix_sum, col_size);
+        }
+    });
+  } else if (inputs[np_indexing_::kIdx+1].dtype() == mshadow::kInt8 ||
+             inputs[np_indexing_::kIdx+1].dtype() == mshadow::kInt16 ||
+             inputs[np_indexing_::kIdx+1].dtype() == mshadow::kInt32 ||
+             inputs[np_indexing_::kIdx+1].dtype() == mshadow::kInt64) {
+    using namespace mshadow;
+    using namespace mshadow::expr;
+    CHECK_NE(req[np_indexing_::kIdx], kAddTo)
+        << "take layer doesn't support gradient of req type kAddTo to index";
+
+    // grad_out is the gradient of the outputs in the feed-forward
+    // grad_in is the gradient of the inputs in the feed-forward
+    Stream<gpu> *s = ctx.get_stream<gpu>();
+
+    MSHADOW_TYPE_SWITCH(outputs[0].dtype(), DType, {  // output data type
+        MSHADOW_TYPE_SWITCH(inputs[2].dtype(), IType, {  // index data type
+          // inputs are specified in the .cc file, which are the gradients from
+          // the upper layer and the input index
+          // outputs are the gradients of inputs in the feed-forward pass
+          const mxnet::TShape& idxshape = inputs[2].shape();
+          const mxnet::TShape& arrshape = outputs[0].shape();
+          const mxnet::TShape& oshape = inputs[0].shape();
+
+          if (idxshape.Size() == 0) {
+              return;
+          }
+
+          if (req[np_indexing_::kIdx] != kNullOp) {
+              mxnet_op::Kernel<mxnet_op::set_zero, gpu>::Launch(
+              s, idxshape.Size(), outputs[np_indexing_::kIdx].data().dptr<IType>());
+          }
+
+          int idxndim = idxshape.ndim();
+          Tensor<gpu, 1, IType> idx = inputs[2].data().get_with_shape<gpu, 1, IType>(
+              Shape1(idxshape.ProdShape(0, idxndim)), s);
+          Tensor<gpu, 2, DType> grad_out = inputs[0].data().get_with_shape<gpu, 2, DType>(
+              Shape2(oshape.ProdShape(0, idxndim), oshape.ProdShape(idxndim, oshape.ndim())), s);
+          Tensor<gpu, 2, DType> grad_in = outputs[0].data().get_with_shape<gpu, 2, DType>(
+              Shape2(arrshape[0], arrshape.ProdShape(1, arrshape.ndim())), s);
+
+          // re-using the previous code for axis = 0 case
+          if (req[np_indexing_::kArr] == kWriteTo || req[np_indexing_::kArr] == kAddTo) {
+              if (req[np_indexing_::kArr] == kWriteTo) {
+                  grad_in = scalar<DType>(0.0f);
+              }
+              AddTakeGrad<false>(grad_in, idx, grad_out);
+          } else {
+              LOG(FATAL) << "wrong req";
+          }
+        });
+    });
+  } else {
+    LOG(FATAL)
+    << "arrays used as indices must be explictly declared as integer (or boolean) type. "
+    << "Use np.astype() to cast indices to integer or boolean.";
+  }
+}
+
+/*
+* \brief check if any of the indices is out of bound
+* \param s the stream
+* \param idx_ptr the indices on the stream
+* \param N the number of indices in an axis
+* \param M the number of axises to exmaine
+* \param mshape the array that stores shape for each dimension
+* \param is_valid_dim_ptr the temparary workspace that contains out-of-bound indices
+*/
+template<typename DType>
+void GatherNDCheckBoundGPU(mshadow::Stream<gpu> *s, const DType* idx_ptr, index_t N,
+                          index_t M, const mshadow::Shape<10> mshape, DType* is_valid_dim_ptr) {
+  using namespace mxnet_op;
+  Kernel<set_zero, gpu>::Launch(s, M, is_valid_dim_ptr);
+  Kernel<is_valid_check_gather_nd, gpu>::Launch(s, M, is_valid_dim_ptr, idx_ptr, N, mshape);
+
+  std::vector<DType> is_valid_dim(M);
+  CUDA_CALL(cudaMemcpyAsync(is_valid_dim.data(), is_valid_dim_ptr, sizeof(DType)*M,
+                            cudaMemcpyDeviceToHost, mshadow::Stream<gpu>::GetStream(s)));
+  CUDA_CALL(cudaStreamSynchronize(mshadow::Stream<gpu>::GetStream(s)));
+  for (int m = 0; m < M; m++) {
+    if (is_valid_dim[m] > mshape[m] - 1 || is_valid_dim[m] < - mshape[m]) {
+      LOG(FATAL)<< "IndexError: index " << is_valid_dim[m] << " is out of bounds for axis "
+        << m << " with size " << mshape[m];
+    }
+  }
+}
+
+void AdvancedIndexingMultipleForwardGPU(const nnvm::NodeAttrs& attrs,
+                        const OpContext& ctx,
+                        const std::vector<TBlob>& inputs,
+                        const std::vector<OpReqType>& req,
+                        const std::vector<TBlob>& outputs) {
+  using namespace mxnet_op;
+  using namespace mshadow;
+  CHECK_EQ(inputs.size(), 2U);
+  CHECK_EQ(outputs.size(), 1U);
+  if (req[0] == kNullOp) return;
+
+  if (inputs[np_indexing_::kIdx].type_flag_ == mshadow::kBool) {
+    LOG(FATAL)
+    << "Multi-dimension boolean indexing is not supported.";
+  } else if (inputs[np_indexing_::kIdx].type_flag_ == mshadow::kInt8 ||
+          inputs[np_indexing_::kIdx].type_flag_ == mshadow::kInt16 ||
+          inputs[np_indexing_::kIdx].type_flag_ == mshadow::kInt32 ||
+          inputs[np_indexing_::kIdx].type_flag_ == mshadow::kInt64) {
+    mshadow::Stream<gpu> *s = ctx.get_stream<gpu>();
+    const mxnet::TShape& dshape = inputs[0].shape_;
+    const mxnet::TShape& ishape = inputs[1].shape_;
+    int M = ishape[0];
+    int N = ishape.Size() / M;
+    int K = dshape.ProdShape(M, dshape.ndim());
+    mshadow::Shape<10> strides;
+    mshadow::Shape<10> mshape;
+    for (int i = M-1, stride = K; i >= 0; stride *= dshape[i], --i) {
+      strides[i] = stride;
+      mshape[i] = dshape[i];
+    }
+    MSHADOW_TYPE_SWITCH_WITH_BOOL(inputs[0].type_flag_, DType, {  // output data type switch
+      MSHADOW_TYPE_SWITCH(inputs[1].type_flag_, IType, {  // indices data type switch
+        // check whether indices are out of bound
+        IType* idx_ptr = inputs[1].dptr<IType>();
+        Tensor<gpu, 1, IType> workspace =
+          ctx.requested[0].get_space_typed<gpu, 1, IType>(Shape1(M), s);
+        IType* is_valid_dim_ptr = reinterpret_cast<IType*>(workspace.dptr_);
+        GatherNDCheckBoundGPU(s, idx_ptr, N, M, mshape, is_valid_dim_ptr);
+        Kernel<gather_nd, gpu>::Launch(
+          s, N, req[0], N, M, K, strides, mshape, outputs[0].dptr<DType>(),
+          inputs[0].dptr<DType>(), inputs[1].dptr<IType>());
+      });
+    });
+  } else {
+    LOG(FATAL)
+    << "arrays used as indices must be explictly declared as integer (or boolean) type."
+    << "Use np.astype() to cast indices to integer or boolean.";
+  }
+}
+
+struct backward_gather_nd_gpu {
+  template<typename DType, typename IType>
+  MSHADOW_XINLINE static void Map(index_t i, index_t N, index_t M, index_t K,
+                                  const mshadow::Shape<10> strides,
+                                  DType* out, const DType* data,
+                                  const IType* indices) {
+    index_t offset = 0;
+    for (index_t j = 0; j < M; ++j) {
+      offset += strides[j] * static_cast<int>(indices[j*N + i]);
+    }
+    for (index_t j = 0; j < K; ++j) {
+      atomicAdd(out + (offset + j), data[i * K + j]);
+    }
+  }
+};
+
+template<typename DType, typename IType>
+inline void GatherNDBackwardImpl(index_t N, index_t M, index_t K,
+                                const mshadow::Shape<10> strides,
+                                DType* out,
+                                const DType* data,
+                                const IType* indices,
+                                mshadow::Stream<gpu> *s) {
+  mxnet_op::Kernel<backward_gather_nd_gpu, gpu>::Launch(s, N, N, M, K, strides, out, data, indices);
+}
+
+NNVM_REGISTER_OP(_npi_advanced_indexing)
+.set_attr<FResourceRequest>("FResourceRequest",
+  [](const NodeAttrs& attrs) {
+    return std::vector<ResourceRequest>{ResourceRequest::kTempSpace};
+  })
+.set_attr<THasDeterministicOutput>("THasDeterministicOutput", true)
+.set_attr<FComputeEx>("FComputeEx<gpu>", AdvancedIndexingOpForward<gpu>);
+
+NNVM_REGISTER_OP(_backward_np_advanced_indexing)
+.set_attr<FComputeEx>("FComputeEx<gpu>", AdvancedIndexingOpBackward<gpu>);
+
+NNVM_REGISTER_OP(_npi_advanced_indexing_multiple)
+.set_attr<FCompute>("FCompute<gpu>", AdvancedIndexingMultipleForwardGPU);
+
+NNVM_REGISTER_OP(_backward_np_advanced_indexing_multiple)
+.set_attr<FCompute>("FCompute<gpu>", AdvancedIndexingMultipleBackward<gpu>);
+
+}  // namespace op
+}  // namespace mxnet
diff --git a/src/operator/numpy/np_indexing_op.h b/src/operator/numpy/np_indexing_op.h
new file mode 100644
index 000000000000..d83fce00704a
--- /dev/null
+++ b/src/operator/numpy/np_indexing_op.h
@@ -0,0 +1,130 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+/*!
+ * Copyright (c) 2017 by Contributors
+ * \file np_indexing_op.h
+ * \brief Function definition of numpy indexing operator
+*/
+#ifndef MXNET_OPERATOR_NUMPY_NP_INDEXING_OP_H_
+#define MXNET_OPERATOR_NUMPY_NP_INDEXING_OP_H_
+
+#include <vector>
+#include "../contrib/boolean_mask-inl.h"
+#include "../tensor/indexing_op.h"
+#include "../tensor/broadcast_reduce_op.h"
+#ifdef __CUDACC__
+#include "../tensor/indexing_op-inl.cuh"
+#endif
+
+namespace mxnet {
+namespace op {
+
+namespace np_indexing_ {  // to avoid name conflict
+enum Inputs {kArr, kIdx};
+enum Outputs {kOut};
+}  // namespace np_indexing_
+
+struct AdvancedIndexingMultipleParam: public dmlc::Parameter<AdvancedIndexingMultipleParam> {
+  int axis;
+  DMLC_DECLARE_PARAMETER(AdvancedIndexingMultipleParam) {
+    DMLC_DECLARE_FIELD(axis)
+    .set_default(0)
+    .describe("The axis of tuple type indexing");
+  }
+};
+
+template<typename xpu>
+void AdvancedIndexingOpForward(const nnvm::NodeAttrs& attrs,
+                   const OpContext& ctx,
+                   const std::vector<NDArray>& inputs,
+                   const std::vector<OpReqType>& req,
+                   const std::vector<NDArray>& outputs);
+
+// template<typename xpu>
+// void AdvancedIndexingMultipleOpForward(const nnvm::NodeAttrs& attrs,
+//                    const OpContext& ctx,
+//                    const std::vector<NDArray>& inputs,
+//                    const std::vector<OpReqType>& req,
+//                    const std::vector<NDArray>& outputs);
+
+template<typename xpu>
+void AdvancedIndexingOpBackward(const nnvm::NodeAttrs& attrs,
+                                     const OpContext &ctx,
+                                     const std::vector<NDArray> &inputs,
+                                     const std::vector<OpReqType> &req,
+                                     const std::vector<NDArray> &outputs);
+
+// template<typename xpu>
+// void AdvancedIndexingMultipleOpBackward(const nnvm::NodeAttrs& attrs,
+//                          const OpContext& ctx,
+//                          const std::vector<NDArray>& inputs,
+//                          const std::vector<OpReqType>& req,
+//                          const std::vector<NDArray>& outputs);
+
+template<typename xpu>
+void AdvancedIndexingMultipleBackward(const nnvm::NodeAttrs& attrs,
+                      const OpContext& ctx,
+                      const std::vector<TBlob>& inputs,
+                      const std::vector<OpReqType>& req,
+                      const std::vector<TBlob>& outputs) {
+  using namespace mshadow;
+  using nnvm::dim_t;
+  CHECK_EQ(inputs.size(), 2U);
+  CHECK_EQ(outputs.size(), 1U);
+  if (req[0] == kNullOp) return;
+
+  if (inputs[np_indexing_::kIdx].type_flag_ == mshadow::kBool) {
+    LOG(FATAL)
+    << "Multi-dimension boolean indexing is not supported.";
+  } else if (inputs[np_indexing_::kIdx].type_flag_ == mshadow::kInt8 ||
+             inputs[np_indexing_::kIdx].type_flag_ == mshadow::kInt16 ||
+             inputs[np_indexing_::kIdx].type_flag_ == mshadow::kInt32 ||
+             inputs[np_indexing_::kIdx].type_flag_ == mshadow::kInt64) {
+    mshadow::Stream<xpu> *s = ctx.get_stream<xpu>();
+    const mxnet::TShape& oshape = outputs[0].shape_;
+    const mxnet::TShape& ishape = inputs[1].shape_;
+    dim_t M = ishape[0];
+    dim_t N = ishape.Size() / M;
+    dim_t K = oshape.ProdShape(M, oshape.ndim());
+    mshadow::Shape<10> strides;
+    for (dim_t i = M-1, stride = K; i >= 0; stride *= oshape[i], --i) strides[i] = stride;
+    if (kWriteTo == req[0]) {
+      Fill<true>(s, outputs[0], req[0], 0);
+    }
+    MXNET_NO_INT8_TYPE_SWITCH(inputs[0].type_flag_, DType, {  // output data type switch
+      MSHADOW_TYPE_SWITCH(inputs[1].type_flag_, IType, {  // indices data type switch
+        GatherNDBackwardImpl(N, M, K, strides,
+                            outputs[0].dptr<DType>(),
+                            inputs[0].dptr<DType>(),
+                            inputs[1].dptr<IType>(),
+                            s);
+      });
+    });
+  } else {
+    LOG(FATAL)
+    << "arrays used as indices must be explictly declared as integer (or boolean) type."
+    << "Use np.astype() to cast indices to integer or boolean.";
+  }
+}
+
+}  // namespace op
+}  // namespace mxnet
+
+#endif  // MXNET_OPERATOR_NUMPY_NP_INDEXING_OP_H_
diff --git a/src/operator/numpy/np_matrix_op-inl.h b/src/operator/numpy/np_matrix_op-inl.h
index 0125febc29b9..0fea76b3d894 100644
--- a/src/operator/numpy/np_matrix_op-inl.h
+++ b/src/operator/numpy/np_matrix_op-inl.h
@@ -134,10 +134,10 @@ void NumpyTranspose(const nnvm::NodeAttrs& attrs,
                     const std::vector<TBlob>& inputs,
                     const std::vector<OpReqType>& req,
                     const std::vector<TBlob>& outputs) {
-  const NumpyTransposeParam& param = nnvm::get<NumpyTransposeParam>(attrs.parsed);
   if (req[0] == kNullOp) return;
   CHECK(req[0] == kWriteTo || req[0] == kAddTo)
-      << "Transpose only supports kWriteTo, kNullOp and kAddTo";
+      << "Transpose does not support inplace";
+  const NumpyTransposeParam& param = nnvm::get<NumpyTransposeParam>(attrs.parsed);
   mxnet::TShape axes;
   if (ndim_is_known(param.axes)) {
     axes = common::CanonicalizeAxes(param.axes);
@@ -147,10 +147,14 @@ void NumpyTranspose(const nnvm::NodeAttrs& attrs,
       axes[i] = axes.ndim() - 1 - i;
     }
   }
+  mshadow::Tensor<xpu, 1, dim_t> workspace =
+    GetTransposeExWorkspace<xpu>(ctx, axes);
   if (req[0] == kAddTo) {
-    TransposeImpl<xpu, true>(ctx.run_ctx, inputs[0], outputs[0], axes);
+    TransposeExImpl<xpu, true>(ctx.run_ctx, inputs[0], outputs[0],
+        axes, workspace);
   } else {
-    TransposeImpl<xpu, false>(ctx.run_ctx, inputs[0], outputs[0], axes);
+    TransposeExImpl<xpu, false>(ctx.run_ctx, inputs[0], outputs[0],
+        axes, workspace);
   }
 }
 
@@ -779,13 +783,21 @@ void NumpyRollaxisCompute(const nnvm::NodeAttrs& attrs,
   using namespace mshadow::expr;
   CHECK_EQ(inputs.size(), 1U);
   CHECK_EQ(outputs.size(), 1U);
-  CHECK_EQ(req[0], kWriteTo) << "Rollaxis does not support inplace";
-  mxnet::TShape axes;
+  if (req[0] == kNullOp) return;
+  CHECK(req[0] == kWriteTo || req[0] == kAddTo)
+      << "Rollaxis does not support inplace";
   const NumpyRollaxisParam& param = nnvm::get<NumpyRollaxisParam>(attrs.parsed);
-  axes = NumpyRollaxisShapeImpl(param.axis, param.start, inputs[0].ndim());
-  MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, Dtype, {
-    TransposeImpl<xpu>(ctx.run_ctx, inputs[0], outputs[0], axes);
-  })
+  mxnet::TShape axes = NumpyRollaxisShapeImpl(param.axis, param.start, inputs[0].ndim());
+
+  mshadow::Tensor<xpu, 1, dim_t> workspace =
+    GetTransposeExWorkspace<xpu>(ctx, axes);
+  if (req[0] == kAddTo) {
+    TransposeExImpl<xpu, true>(ctx.run_ctx, inputs[0], outputs[0],
+        axes, workspace);
+  } else {
+    TransposeExImpl<xpu, false>(ctx.run_ctx, inputs[0], outputs[0],
+        axes, workspace);
+  }
 }
 
 template<typename xpu>
@@ -796,6 +808,9 @@ void NumpyRollaxisBackward(const nnvm::NodeAttrs &attrs,
                             const std::vector<TBlob> &outputs) {
   using namespace mshadow;
   using namespace mshadow::expr;
+  if (req[0] == kNullOp) return;
+  CHECK(req[0] == kWriteTo || req[0] == kAddTo)
+      << "Rollaxis Backward does not support inplace";
   const NumpyRollaxisParam& param = nnvm::get<NumpyRollaxisParam>(attrs.parsed);
   int axis_origin = param.axis;
   int start_origin = param.start;
@@ -819,11 +834,17 @@ void NumpyRollaxisBackward(const nnvm::NodeAttrs &attrs,
     axis = start_origin;
     start = axis_origin + 1;
   }
-  mxnet::TShape axes;
-  axes = NumpyRollaxisShapeImpl(axis, start, inputs[0].ndim());
-  MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, Dtype, {
-    TransposeImpl<xpu>(ctx.run_ctx, inputs[0], outputs[0], axes);
-  })
+  mxnet::TShape axes = NumpyRollaxisShapeImpl(axis, start, inputs[0].ndim());
+
+  mshadow::Tensor<xpu, 1, dim_t> workspace =
+    GetTransposeExWorkspace<xpu>(ctx, axes);
+  if (req[0] == kAddTo) {
+    TransposeExImpl<xpu, true>(ctx.run_ctx, inputs[0], outputs[0],
+        axes, workspace);
+  } else {
+    TransposeExImpl<xpu, false>(ctx.run_ctx, inputs[0], outputs[0],
+        axes, workspace);
+  }
 }
 
 struct NumpyRot90Param : public dmlc::Parameter<NumpyRot90Param> {
diff --git a/src/operator/numpy/np_matrix_op.cc b/src/operator/numpy/np_matrix_op.cc
index da9839f6de07..2bb2fe356250 100644
--- a/src/operator/numpy/np_matrix_op.cc
+++ b/src/operator/numpy/np_matrix_op.cc
@@ -51,7 +51,6 @@ bool NumpyTransposeShape(const nnvm::NodeAttrs& attrs,
   CHECK_EQ(out_attrs->size(), 1U);
   mxnet::TShape& shp = (*in_attrs)[0];
   mxnet::TShape& out_shp = (*out_attrs)[0];
-  CHECK_LE(shp.ndim(), 6) << "Transpose support at most 6 dimensions";
 
   int ndim = -1;
   if (ndim_is_known(shp)) {
@@ -133,6 +132,10 @@ NNVM_REGISTER_OP(_npi_transpose)
     }
   })
 .set_attr<FCompute>("FCompute<cpu>", NumpyTranspose<cpu>)
+.set_attr<FResourceRequest>("FResourceRequest",
+  [](const NodeAttrs& attrs) {
+    return std::vector<ResourceRequest>{ResourceRequest::kTempSpace};
+  })
 .set_attr<nnvm::FListInputNames>("FListInputNames",
   [](const NodeAttrs& attrs) {
     return std::vector<std::string>{"a"};
@@ -1261,7 +1264,6 @@ bool NumpyRollaxisShape(const nnvm::NodeAttrs& attrs,
 
   // check transpose dimentions no more than 6
   mxnet::TShape& shp = (*in_attrs)[0];
-  CHECK_LE(shp.ndim(), 6) << "Transpose support at most 6 dimensions";
 
   // check axis and start range
   CHECK_GE(param.axis, -shp.ndim())
@@ -1304,6 +1306,10 @@ until it lies in a given position.)code" ADD_FILELINE)
 .set_attr<nnvm::FInferType>("FInferType", ElemwiseType<1, 1>)
 .set_attr<FCompute>("FCompute<cpu>", NumpyRollaxisCompute<cpu>)
 .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseNone{"_npi_rollaxis_backward"})
+.set_attr<FResourceRequest>("FResourceRequest",
+  [](const NodeAttrs& attrs) {
+    return std::vector<ResourceRequest>{ResourceRequest::kTempSpace};
+  })
 .add_argument("data", "NDArray-or-Symbol", "Input ndarray")
 .add_arguments(NumpyRollaxisParam::__FIELDS__());
 
@@ -1312,7 +1318,11 @@ NNVM_REGISTER_OP(_npi_rollaxis_backward)
 .set_num_outputs(1)
 .set_attr_parser(ParamParser<NumpyRollaxisParam>)
 .set_attr<nnvm::TIsBackward>("TIsBackward", true)
-.set_attr<FCompute>("FCompute<cpu>", NumpyRollaxisBackward<cpu>);
+.set_attr<FCompute>("FCompute<cpu>", NumpyRollaxisBackward<cpu>)
+.set_attr<FResourceRequest>("FResourceRequest",
+  [](const NodeAttrs& attrs) {
+    return std::vector<ResourceRequest>{ResourceRequest::kTempSpace};
+  });
 
 template<>
 void NumpyFlipForwardImpl<cpu>(const OpContext& ctx,
@@ -1368,7 +1378,6 @@ bool NumpyMoveaxisShape(const nnvm::NodeAttrs& attrs,
   CHECK_EQ(in_attrs->size(), 1U);
   CHECK_EQ(out_attrs->size(), 1U);
   mxnet::TShape& shp = (*in_attrs)[0];
-  CHECK_LE(shp.ndim(), 6) << "Transpose support at most 6 dimensions";
   CHECK_EQ(param.source.ndim(), param.destination.ndim())
     << "source and destination not equal.";
   mxnet::TShape ret(shp.ndim(), -1);
diff --git a/src/operator/numpy/np_polynomial_op.cc b/src/operator/numpy/np_polynomial_op.cc
index 155c98fd1cc5..72df77cf2d25 100644
--- a/src/operator/numpy/np_polynomial_op.cc
+++ b/src/operator/numpy/np_polynomial_op.cc
@@ -22,7 +22,7 @@
  * \file np_polynomial_op.cc
 */
 
-#include <math.h>
+#include <cmath>
 #include "np_polynomial_op-inl.h"
 
 namespace mxnet {
diff --git a/src/operator/numpy/np_true_divide-inl.h b/src/operator/numpy/np_true_divide-inl.h
index 6e975111c8c2..ea0057b1606c 100644
--- a/src/operator/numpy/np_true_divide-inl.h
+++ b/src/operator/numpy/np_true_divide-inl.h
@@ -59,15 +59,17 @@ void TrueDivideScalarCompute(const nnvm::NodeAttrs &attrs,
       });
     });
   } else {
-    CHECK_EQ(outputs[0].type_flag_, mxnet::common::GetDefaultDtype())
+    CHECK(out.type_flag_ == mshadow::kFloat32 || out.type_flag_ == mshadow::kFloat64)
       << "true_divide only supports float32 and float64"
          " output when input's dtype is "
       << type_string(inputs[0].type_flag_);
-    MXNET_INT_TYPE_SWITCH(inputs[0].type_flag_, DType, {
-      MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
-        Kernel<op_with_req<OP, Req>, xpu>::Launch(
-          s, data.Size(), out.dptr<float>(), data.dptr<DType>(),
-          static_cast<float>(alpha));
+    MSHADOW_REAL_TYPE_SWITCH(out.type_flag_, ODType, {
+      MXNET_INT_TYPE_SWITCH(inputs[0].type_flag_, DType, {
+        MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
+          Kernel<op_with_req<OP, Req>, xpu>::Launch(
+            s, data.Size(), out.dptr<ODType>(), data.dptr<DType>(),
+            static_cast<ODType>(alpha));
+        });
       });
     });
   }
diff --git a/src/operator/operator_tune.cc b/src/operator/operator_tune.cc
index b5e253a1872e..4c66f00b14d6 100644
--- a/src/operator/operator_tune.cc
+++ b/src/operator/operator_tune.cc
@@ -16,7 +16,7 @@
  * specific language governing permissions and limitations
  * under the License.
  */
-#include <float.h>
+#include <cfloat>
 #include <atomic>
 #include "./mxnet_op.h"
 #include "./mshadow_op.h"
diff --git a/src/operator/quantization/quantize_graph_pass.cc b/src/operator/quantization/quantize_graph_pass.cc
index 012134bcfa8d..ff75801af410 100644
--- a/src/operator/quantization/quantize_graph_pass.cc
+++ b/src/operator/quantization/quantize_graph_pass.cc
@@ -225,8 +225,8 @@ static void MarkQuantizedNodes(const Graph& src,
     while (!task_queue.empty()) {
       const auto& node = task_queue.front();
       task_queue.pop();
-      for (size_t i = 0; i < node->inputs.size(); ++i) {
-        const auto& input = node->inputs[i].node;
+      for (auto & i : node->inputs) {
+        const auto& input = i.node;
         auto it = support_quantize_nodes.find(input);
         if (it != support_quantize_nodes.end()) {
           it->second = it->second | kFromInput;
@@ -243,8 +243,7 @@ static void MarkQuantizedNodes(const Graph& src,
       const auto& node = task_queue.front();
       task_queue.pop();
       const auto& outputs = node_output_map[node];
-      for (size_t i = 0; i < outputs.size(); ++i) {
-        const auto& output = outputs[i];
+      for (const auto & output : outputs) {
         auto it = support_quantize_nodes.find(output);
         if (it != support_quantize_nodes.end()) {
           it->second = it->second | kFromOutput;
diff --git a/src/operator/quantization/quantized_elemwise_mul.cc b/src/operator/quantization/quantized_elemwise_mul.cc
index 7d1798f14503..0988a8bcceaf 100644
--- a/src/operator/quantization/quantized_elemwise_mul.cc
+++ b/src/operator/quantization/quantized_elemwise_mul.cc
@@ -186,7 +186,7 @@ void QuantizedElemwiseMulOpForward(const nnvm::NodeAttrs &attrs,
         out_data[i] = static_cast<out_type>(a * b * out_scale);
       }
     } else {
-      typedef int32_t out_type;
+      using out_type = int32_t;
       auto *out_data = outputs[quantized_elemwise_mul::kOut].dptr<out_type>();
 #if !defined(_MSC_VER)
 #pragma omp simd
@@ -198,7 +198,7 @@ void QuantizedElemwiseMulOpForward(const nnvm::NodeAttrs &attrs,
       }
     }
   } else {
-    typedef float_t out_type;
+    using out_type = float_t;
     auto *out_data = outputs[quantized_elemwise_mul::kOut].dptr<out_type>();
 #if !defined(_MSC_VER)
 #pragma omp simd
diff --git a/src/operator/quantization/quantized_fully_connected.cc b/src/operator/quantization/quantized_fully_connected.cc
index d88aac86851a..e8caf79b05a9 100644
--- a/src/operator/quantization/quantized_fully_connected.cc
+++ b/src/operator/quantization/quantized_fully_connected.cc
@@ -154,7 +154,7 @@ struct QuantizedSumInitKernelWithBias {
                                   const float *max_out, const float *min_bias,
                                   const float *max_bias) {
     typedef int32_t T1;
-    typedef int8_t  T2;
+    using T2 = int8_t;
     using mshadow::red::limits::MinValue;
     using mshadow::red::limits::MaxValue;
     float float_for_one_out_quant  =
diff --git a/src/operator/subgraph/default_subgraph_property.cc b/src/operator/subgraph/default_subgraph_property.cc
index dd3bfd14ae28..ff51b6397c04 100644
--- a/src/operator/subgraph/default_subgraph_property.cc
+++ b/src/operator/subgraph/default_subgraph_property.cc
@@ -17,6 +17,8 @@
  * under the License.
  */
 
+#include <memory>
+
 #include "./common.h"
 #include "./subgraph_property.h"
 #include "../../imperative/cached_op.h"
@@ -33,15 +35,15 @@ class ContainOpSelector: public SubgraphSelector {
   explicit ContainOpSelector(const std::unordered_set<std::string>& op_names)
     : op_names_(op_names) {}
 
-  virtual bool Select(const nnvm::Node &seed_node) {
+  bool Select(const nnvm::Node &seed_node) override {
     return !seed_node.is_variable() && op_names_.count(seed_node.op()->name);
   }
 
-  virtual bool SelectInput(const nnvm::Node &cur_node, const nnvm::Node &input_node) {
+  bool SelectInput(const nnvm::Node &cur_node, const nnvm::Node &input_node) override {
     return !input_node.is_variable() && op_names_.count(input_node.op()->name);
   }
 
-  virtual bool SelectOutput(const nnvm::Node &cur_node, const nnvm::Node &output_node) {
+  bool SelectOutput(const nnvm::Node &cur_node, const nnvm::Node &output_node) override {
     return !output_node.is_variable() && op_names_.count(output_node.op()->name);
   }
  private:
@@ -55,19 +57,19 @@ class ContainOpSelector: public SubgraphSelector {
 class DefaultSubgraphProperty: public SubgraphProperty {
  public:
   static SubgraphPropertyPtr Create() { return std::make_shared<DefaultSubgraphProperty>(); }
-  virtual nnvm::ObjectPtr CreateSubgraphNode(const nnvm::Symbol &sym,
-                                           const int subgraph_id = 0) const {
+  nnvm::ObjectPtr CreateSubgraphNode(const nnvm::Symbol &sym,
+                                           const int subgraph_id = 0) const override {
     nnvm::ObjectPtr n = nnvm::Node::Create();
     n->attrs.op = Op::Get("_CachedOp");
     n->attrs.name = "_CachedOp" + std::to_string(subgraph_id);
     n->attrs.subgraphs.push_back(std::make_shared<nnvm::Symbol>(sym));
 
     std::vector<std::pair<std::string, std::string> > flags{{"static_alloc", "true"}};
-    n->attrs.parsed = CachedOpPtr(new CachedOp(sym, flags));
+    n->attrs.parsed = std::make_shared<CachedOp>(sym, flags);
 
     return n;
   }
-  virtual SubgraphSelectorPtr CreateSubgraphSelector() const {
+  SubgraphSelectorPtr CreateSubgraphSelector() const override {
     return std::make_shared<ContainOpSelector>(
         this->GetAttr<std::unordered_set<std::string>>("op_names"));
   }
diff --git a/src/operator/subgraph/default_subgraph_property_v2.cc b/src/operator/subgraph/default_subgraph_property_v2.cc
index 65aaeb1f45ce..7c942300ad12 100644
--- a/src/operator/subgraph/default_subgraph_property_v2.cc
+++ b/src/operator/subgraph/default_subgraph_property_v2.cc
@@ -18,6 +18,8 @@
  */
 
 
+#include <memory>
+
 #include "./common.h"
 #include "./subgraph_property.h"
 #include "../../imperative/cached_op.h"
@@ -68,7 +70,7 @@ class DefaultSubgraphProperty: public SubgraphProperty {
     n->attrs.subgraphs.push_back(std::make_shared<nnvm::Symbol>(sym));
 
     std::vector<std::pair<std::string, std::string> > flags{{"static_alloc", "true"}};
-    n->attrs.parsed = CachedOpPtr(new CachedOp(sym, flags));
+    n->attrs.parsed = std::make_shared<CachedOp>(sym, flags);
 
     return n;
   }
diff --git a/src/operator/tensor/broadcast_reduce_norm_value.cc b/src/operator/tensor/broadcast_reduce_norm_value.cc
index 557c4d9e7746..43a22b2a8314 100644
--- a/src/operator/tensor/broadcast_reduce_norm_value.cc
+++ b/src/operator/tensor/broadcast_reduce_norm_value.cc
@@ -87,6 +87,7 @@ Examples::
   norm(csr) = [5.47722578]
 
 )code" ADD_FILELINE)
+.add_alias("_npx_norm")
 .set_num_inputs(1)
 .set_num_outputs(1)
 .set_attr_parser(ParamParser<NormParam>)
diff --git a/src/operator/tensor/la_op-inl.h b/src/operator/tensor/la_op-inl.h
index d580cced4ec5..7a5a602425fe 100644
--- a/src/operator/tensor/la_op-inl.h
+++ b/src/operator/tensor/la_op-inl.h
@@ -36,9 +36,10 @@ using namespace mshadow;
 // Copies lower/upper triangular part to upper/lower, i.e. to the opposite side.
 struct CopyTriangularToOppositeSide {
   template<typename DType>
-  MSHADOW_XINLINE static void Map(int i, int matrix_size, int stride, DType* data, bool to_lower) {
+  MSHADOW_XINLINE static void Map(index_t i, size_t matrix_size, index_t stride,
+                                  DType* data, bool to_lower) {
     // Below computation works even when we are dealing with a batch of matrices.
-    const int row((i % matrix_size) / stride), col(i % stride);
+    const index_t row((i % matrix_size) / stride), col(i % stride);
     if (row > col) {
        if (to_lower) {
          data[i] = data[i + (col - row) * (stride - 1)];
@@ -52,9 +53,9 @@ struct CopyTriangularToOppositeSide {
 // Zero's lower/upper triangular part of a matrix.
 struct ZeroTriangular {
   template<typename DType>
-  MSHADOW_XINLINE static void Map(int i, int matrix_size, int stride, DType* data,
-                                  bool zero_lower) {
-    const int row((i % matrix_size) / stride), col(i % stride);
+  MSHADOW_XINLINE static void Map(index_t i, size_t matrix_size, index_t stride,
+                                  DType* data, bool zero_lower) {
+    const index_t row((i % matrix_size) / stride), col(i % stride);
     if ((!zero_lower && (row < col)) || (zero_lower && (row > col))) data[i] = 0;
   }
 };
diff --git a/src/operator/tensor/matrix_op-inl.h b/src/operator/tensor/matrix_op-inl.h
index 79c2a6d434a5..6c125edde09d 100644
--- a/src/operator/tensor/matrix_op-inl.h
+++ b/src/operator/tensor/matrix_op-inl.h
@@ -321,15 +321,16 @@ inline bool IsIdentityTranspose(const TShape& axes) {
 }
 
 template<typename xpu, bool is_addto = false>
-void TransposeImpl(RunContext ctx,
+bool TransposeCommonImpl(RunContext ctx,
                    const TBlob& src,
                    const TBlob& ret,
                    const mxnet::TShape& axes) {
+  // return true when running successfully, otherwise false
   using namespace mshadow;
   using namespace mshadow::expr;
   CHECK_EQ(src.type_flag_, ret.type_flag_);
   // zero-size tensor, no need to compute
-  if (src.shape_.Size() == 0U) return;
+  if (src.shape_.Size() == 0U) return true;
   Stream<xpu> *s = ctx.get_stream<xpu>();
 #ifdef __CUDACC__
   // This transpose can be used only if there exist n and m such that:
@@ -339,7 +340,7 @@ void TransposeImpl(RunContext ctx,
     MSHADOW_TYPE_SWITCH(ret.type_flag_, DType, {
       transpose_pseudo2D<DType, is_addto>(ret, src, axes, s);
     });
-    return;
+    return true;
   }
 #endif
   // Special handle the identity case
@@ -355,7 +356,7 @@ void TransposeImpl(RunContext ctx,
             s, ret.Size(), out.dptr_, in.dptr_);
       }
     });
-    return;
+    return true;
   }
   // Handle the general transpose case
   MSHADOW_TYPE_SWITCH(ret.type_flag_, DType, {
@@ -413,10 +414,127 @@ void TransposeImpl(RunContext ctx,
       break;
      }
      default:
-      LOG(FATAL) << "Transpose support at most 6 dimensions";
+      // return false when dimensions > 6
+      return false;
       break;
     }
   });
+  return true;
+}
+
+template<typename xpu, bool is_addto = false>
+void TransposeImpl(RunContext ctx,
+                   const TBlob& src,
+                   const TBlob& ret,
+                   const mxnet::TShape& axes) {
+  CHECK_LE(axes.ndim(), 6) << "TransposeImpl supports at most 6 dimensions";
+  CHECK((TransposeCommonImpl<xpu, is_addto>(ctx, src, ret, axes))) <<
+    "Failed to execute TransposeImpl Operator";
+}
+
+template <bool is_addto>
+struct TransposeExKernel {
+  /*!
+   * \brief
+   * \param tid      global thread id
+   * \param out_data output data
+   * \param in_data  input data
+   * \param strides  input strides and output strides
+   * \param ndim     the number of dimension
+   */
+  template <typename DType>
+  MSHADOW_XINLINE static void Map(int tid,
+      DType *out_data,
+      const DType *in_data,
+      const dim_t *strides,
+      const int ndim
+      ) {
+    // tid is the index of input data
+    const dim_t* const out_strides = strides + ndim;
+    int k = tid;
+    int out_id = 0;
+    for (int i = 0; i < ndim; ++i) {
+      out_id += (k / strides[i]) * out_strides[i];
+      k %= strides[i];
+    }
+    if (is_addto)
+      out_data[out_id] += in_data[tid];
+    else
+      out_data[out_id] = in_data[tid];
+  }
+};
+
+template<typename xpu, bool is_addto = false>
+void TransposeExImpl(RunContext ctx,
+                   const TBlob& src,
+                   const TBlob& ret,
+                   const mxnet::TShape& axes,
+                   mshadow::Tensor<xpu, 1, dim_t>& strides_xpu
+                   ) {
+  /*
+   * If ndim <= 6, it is not necessary to allocate any space for `strides_xpu`
+   * If ndim > 6, `strides_xpu` should be allocated `ndim * 2` elements
+   */
+  using namespace mshadow;
+  using namespace mshadow::expr;
+  if (TransposeCommonImpl<xpu, is_addto>(ctx, src, ret, axes)) return;
+  CHECK_GT(axes.ndim(), 6) <<
+    "Failed to execute TransposeExImpl when axes.ndim() <= 6";
+  Stream<xpu> *s = ctx.get_stream<xpu>();
+  MSHADOW_TYPE_SWITCH(ret.type_flag_, DType, {
+      CHECK_EQ(strides_xpu.MSize(), axes.ndim() * 2) << \
+        "If ndim > 6, `strides_xpu` should be allocated `ndim * 2` elements";
+
+      const mxnet::TShape &in_shape = src.shape_;
+      // strides: in_strides and out_strides
+      const int ndim = axes.ndim();
+      std::vector<dim_t> strides(ndim * 2);
+      // compute in_strides
+      strides[ndim - 1] = 1;
+      for (int i = ndim - 2; i >= 0; --i) {
+        strides[i] = strides[i + 1] * in_shape[i + 1];
+      }
+      // compute out_strides
+      std::vector<dim_t> tmp_strides(ndim);
+      tmp_strides[ndim - 1] = 1;
+      for (int i = ndim - 2; i >= 0; --i) {
+        tmp_strides[i] = tmp_strides[i + 1] * in_shape[axes[i + 1]];
+      }
+      // reorder tmp_strides to out_strides
+      dim_t * const out_strides = &strides[ndim];
+      for (int i = 0; i < ndim; ++i) {
+        out_strides[axes[i]] = tmp_strides[i];
+      }
+      Shape<1> strides_shape;
+      strides_shape[0] = ndim * 2;
+      Tensor<cpu, 1, dim_t> strides_cpu(strides.data(), strides_shape);
+      // copy arguments into xpu context
+      Copy(strides_xpu, strides_cpu, s);
+      const DType *in = src.dptr<DType>();
+      DType *out = ret.dptr<DType>();
+      if (is_addto) {
+        mxnet_op::Kernel<TransposeExKernel<true>, xpu>::Launch(s,
+            in_shape.Size(), out, in, strides_xpu.dptr_, ndim);
+      } else {
+        mxnet_op::Kernel<TransposeExKernel<false>, xpu>::Launch(s,
+            in_shape.Size(), out, in, strides_xpu.dptr_, ndim);
+      }
+  });
+}
+
+template<typename xpu>
+mshadow::Tensor<xpu, 1, dim_t> GetTransposeExWorkspace(
+      const OpContext& ctx,
+      const mxnet::TShape& axes
+    ) {
+  if (axes.ndim() > 6) {
+    // allocate workspace when axes.ndim() > 6
+    mshadow::Shape<1> strides_shape;
+    strides_shape[0] = axes.ndim() * 2;
+    return ctx.requested[0].get_space_typed<xpu, 1, dim_t>(
+        strides_shape, ctx.get_stream<xpu>());
+  }
+  return {};
 }
 
 // matrix transpose
@@ -441,10 +559,15 @@ void Transpose(const nnvm::NodeAttrs& attrs,
   } else {
     axes = common::CanonicalizeAxes(param.axes);
   }
+
+  mshadow::Tensor<xpu, 1, dim_t> workspace =
+    GetTransposeExWorkspace<xpu>(ctx, axes);
   if (req[0] == kAddTo) {
-    TransposeImpl<xpu, true>(ctx.run_ctx, inputs[0], outputs[0], axes);
+    TransposeExImpl<xpu, true>(ctx.run_ctx, inputs[0], outputs[0],
+        axes, workspace);
   } else {
-    TransposeImpl<xpu, false>(ctx.run_ctx, inputs[0], outputs[0], axes);
+    TransposeExImpl<xpu, false>(ctx.run_ctx, inputs[0], outputs[0],
+        axes, workspace);
   }
 }
 
@@ -458,7 +581,6 @@ inline bool TransposeShape(const nnvm::NodeAttrs& attrs,
   mxnet::TShape& out_shp = (*out_attrs)[0];
   if (!mxnet::ndim_is_known(shp) && !mxnet::ndim_is_known(out_shp))
     return false;  // none of the shapes is known
-  CHECK_LE(shp.ndim(), 6) << "Transpose support at most 6 dimensions";
   if (out_shp.ndim() >= 0 && shp.ndim() >= 0)
     CHECK_EQ(out_shp.ndim(), shp.ndim());
   mxnet::TShape get(std::max(shp.ndim(), out_shp.ndim()), -1);
diff --git a/src/operator/tensor/matrix_op.cc b/src/operator/tensor/matrix_op.cc
index 8a86f7a45d2e..8c3d14f93155 100644
--- a/src/operator/tensor/matrix_op.cc
+++ b/src/operator/tensor/matrix_op.cc
@@ -351,6 +351,10 @@ Examples::
     }
   })
 .set_attr<FCompute>("FCompute<cpu>", Transpose<cpu>)
+.set_attr<FResourceRequest>("FResourceRequest",
+  [](const NodeAttrs& n) {
+    return std::vector<ResourceRequest>{ResourceRequest::kTempSpace};
+})
 #if MXNET_USE_MKLDNN == 1
 .set_attr<bool>("TIsMKLDNN", true)
 .set_attr<FComputeEx>("FComputeEx<cpu>", TransposeComputeExCPU)
diff --git a/src/profiler/aggregate_stats.cc b/src/profiler/aggregate_stats.cc
index 86791ebf3074..9d56dd35d6c2 100644
--- a/src/profiler/aggregate_stats.cc
+++ b/src/profiler/aggregate_stats.cc
@@ -235,8 +235,8 @@ void AggregateStats::DumpJson(std::ostream& os, int sort_by, int ascending) {
      << "    }" << std::endl
      << "," << std::endl
      << "    \"Unit\": {" << std::endl
-     << "        \"Time\": \"ms\"," << std::endl
-     << "        \"Memory\": \"kB\"" << std::endl
+     << R"(        "Time": "ms",)" << std::endl
+     << R"(        "Memory": "kB")" << std::endl
      << "    }" << std::endl
      << "}" << std::endl
      << std::flush;
diff --git a/src/profiler/profiler.cc b/src/profiler/profiler.cc
index 13ab462ab69c..080d0454faff 100644
--- a/src/profiler/profiler.cc
+++ b/src/profiler/profiler.cc
@@ -154,9 +154,9 @@ void Profiler::SetConfig(int mode,
  */
 void Profiler::EmitPid(std::ostream *os, const std::string& name, size_t pid) {
   (*os) << "        {\n"
-        << "            \"ph\": \"" << static_cast<char>(ProfileStat::kMetadata) <<  "\",\n"
+        << R"(            "ph": ")" << static_cast<char>(ProfileStat::kMetadata) <<  "\",\n"
         << "            \"args\": {\n"
-        << "                \"name\": \"" << name << "\"\n"
+        << R"(                "name": ")" << name << "\"\n"
         << "            },\n"
         << "            \"pid\": " << pid << ",\n"
         << "            \"name\": \"process_name\"\n"
@@ -246,7 +246,7 @@ void Profiler::DumpProfile(bool perform_cleanup) {
   if (last_pass) {
     file << "\n" << std::endl;
     file << "    ]," << std::endl;
-    file << "    \"displayTimeUnit\": \"ms\"" << std::endl;
+    file << R"(    "displayTimeUnit": "ms")" << std::endl;
     file << "}" << std::endl;
   }
   enable_output_ = continuous_dump_ && !last_pass;  // If we're appending, then continue.
diff --git a/src/profiler/storage_profiler.h b/src/profiler/storage_profiler.h
index 5bb7d356a502..b2213e3b94fd 100644
--- a/src/profiler/storage_profiler.h
+++ b/src/profiler/storage_profiler.h
@@ -162,16 +162,17 @@ class GpuDeviceStorageProfiler {
     }
   }
 
+  inline void OnFree(void *dptr) {
+    // In case of bug which tries to free first
+    if (gpu_mem_alloc_entries_.find(dptr) != gpu_mem_alloc_entries_.end())
+      gpu_mem_alloc_entries_.erase(dptr);
+  }
+
   void OnFree(const Storage::Handle &handle) {
     if (handle.size > 0) {
       profiler::Profiler *prof = profiler::Profiler::Get();
-      if (prof->IsProfiling(profiler::Profiler::kMemory)) {
-        // In case of bug which tries to free first
-        if (gpu_mem_alloc_entries_.find(handle.dptr) !=
-            gpu_mem_alloc_entries_.end()) {
-          gpu_mem_alloc_entries_.erase(handle.dptr);
-        }
-      }
+      if (prof->IsProfiling(profiler::Profiler::kMemory))
+        OnFree(handle.dptr);
     }
   }
 
@@ -195,6 +196,11 @@ class GpuDeviceStorageProfiler {
   /*! \brief dump the allocation entries to file */
   void DumpProfile() const;
 
+  bool inline IsProfiling() const {
+    profiler::Profiler *prof = profiler::Profiler::Get();
+    return prof->IsProfiling(profiler::Profiler::kMemory);
+  }
+
  private:
   std::string filename_prefix_ = "gpu_memory_profile";
   /*! \brief Dynamically-sized dictionary of memory profile counters */
diff --git a/src/resource.cc b/src/resource.cc
index 9f5ecaf89b27..28e24e5c6984 100644
--- a/src/resource.cc
+++ b/src/resource.cc
@@ -31,6 +31,7 @@
 #include <mxnet/resource.h>
 #include <limits>
 #include <atomic>
+#include <memory>
 #include "./common/lazy_alloc_array.h"
 #include "./common/utils.h"
 #include "./common/cuda_utils.h"
@@ -91,8 +92,7 @@ struct SpaceAllocator {
 // Implements resource manager
 class ResourceManagerImpl : public ResourceManager {
  public:
-  ResourceManagerImpl() noexcept(false)
-      : global_seed_(0) {
+  ResourceManagerImpl() noexcept(false) {
     cpu_temp_space_copy_ = dmlc::GetEnv("MXNET_CPU_TEMP_COPY", 4);
     gpu_temp_space_copy_ = dmlc::GetEnv("MXNET_GPU_TEMP_COPY", 1);
     cpu_native_rand_copy_ = dmlc::GetEnv("MXNET_CPU_PARALLEL_RAND_COPY", 1);
@@ -102,14 +102,14 @@ class ResourceManagerImpl : public ResourceManager {
 #endif  // MXNET_USE_CUDNN == 1
     engine_ref_ = Engine::_GetSharedRef();
     storage_ref_ = Storage::_GetSharedRef();
-    cpu_rand_.reset(new ResourceRandom<cpu>(
-        Context::CPU(), global_seed_));
-    cpu_space_.reset(new ResourceTempSpace<ResourceRequest::kTempSpace>(
-        Context::CPU(), cpu_temp_space_copy_));
-    cpu_parallel_rand_.reset(new ResourceParallelRandom<cpu>(
-        Context::CPU(), cpu_native_rand_copy_, global_seed_));
+    cpu_rand_ = std::make_unique<ResourceRandom<cpu>>(
+        Context::CPU(), global_seed_);
+    cpu_space_ = std::make_unique<ResourceTempSpace<ResourceRequest::kTempSpace>>(
+        Context::CPU(), cpu_temp_space_copy_);
+    cpu_parallel_rand_ = std::make_unique<ResourceParallelRandom<cpu>>(
+        Context::CPU(), cpu_native_rand_copy_, global_seed_);
   }
-  ~ResourceManagerImpl() {
+  ~ResourceManagerImpl() override {
     // need explicit delete, before engine get killed
     cpu_rand_.reset(nullptr);
     cpu_space_.reset(nullptr);
@@ -390,7 +390,7 @@ class ResourceManagerImpl : public ResourceManager {
   /*! \brief Reference to the storage */
   std::shared_ptr<Storage> storage_ref_;
   /*! \brief internal seed to the random number generator */
-  uint32_t global_seed_;
+  uint32_t global_seed_{0};
   /*! \brief CPU random number resources */
   std::unique_ptr<ResourceRandom<cpu> > cpu_rand_;
   /*! \brief CPU temp space resources */
diff --git a/src/runtime/registry.cc b/src/runtime/registry.cc
index 276c1ba73d18..d1511806aa27 100644
--- a/src/runtime/registry.cc
+++ b/src/runtime/registry.cc
@@ -44,7 +44,7 @@ struct Registry::Manager {
   std::mutex mutex;
 
   // vtable for extension type is not suported for now
-  Manager() {}
+  Manager() = default;
 
   static Manager* Global() {
     // We deliberately leak the Manager instance, to avoid leak sanitizers
diff --git a/src/storage/cpu_device_storage.h b/src/storage/cpu_device_storage.h
index f6b296a9643f..b81cdbc17e25 100644
--- a/src/storage/cpu_device_storage.h
+++ b/src/storage/cpu_device_storage.h
@@ -25,9 +25,6 @@
 #ifndef MXNET_STORAGE_CPU_DEVICE_STORAGE_H_
 #define MXNET_STORAGE_CPU_DEVICE_STORAGE_H_
 
-#include <dmlc/logging.h>
-#include <cstdlib>
-#include <new>
 #include "mxnet/base.h"
 
 namespace mxnet {
@@ -63,15 +60,11 @@ class CPUDeviceStorage {
 };  // class CPUDeviceStorage
 
 inline void CPUDeviceStorage::Alloc(Storage::Handle* handle) {
-  handle->dptr = nullptr;
-  const size_t size = handle->size;
-  if (size == 0) return;
-
 #if _MSC_VER
-  handle->dptr = _aligned_malloc(size, alignment_);
+  handle->dptr = _aligned_malloc(handle->size, alignment_);
   if (handle->dptr == nullptr) LOG(FATAL) << "Failed to allocate CPU Memory";
 #else
-  int ret = posix_memalign(&handle->dptr, alignment_, size);
+  int ret = posix_memalign(&handle->dptr, alignment_, handle->size);
   if (ret != 0) LOG(FATAL) << "Failed to allocate CPU Memory";
 #endif
 }
diff --git a/src/storage/cpu_shared_storage_manager.h b/src/storage/cpu_shared_storage_manager.h
index b301503202e2..e9407b05917d 100644
--- a/src/storage/cpu_shared_storage_manager.h
+++ b/src/storage/cpu_shared_storage_manager.h
@@ -25,23 +25,14 @@
 #ifndef _WIN32
 #include <sys/mman.h>
 #include <sys/fcntl.h>
-#include <unistd.h>
-#include <sys/types.h>
 #include <sys/stat.h>
 #else
 #include <Windows.h>
 #include <process.h>
 #endif  // _WIN32
 
-#include <unordered_map>
-#include <vector>
-#include <atomic>
-#include <iostream>
-#include <mutex>
-#include <new>
 #include <string>
 #include <limits>
-
 #include "./storage_manager.h"
 
 namespace mxnet {
@@ -115,11 +106,6 @@ class CPUSharedStorageManager final : public StorageManager {
 };  // class CPUSharedStorageManager
 
 void CPUSharedStorageManager::Alloc(Storage::Handle* handle) {
-  if (handle->size == 0) {
-    handle->dptr = nullptr;
-    return;
-  }
-
   std::lock_guard<std::recursive_mutex> lock(mutex_);
   std::uniform_int_distribution<> dis(0, std::numeric_limits<int>::max());
   int fid = -1;
@@ -140,7 +126,7 @@ void CPUSharedStorageManager::Alloc(Storage::Handle* handle) {
       map_handle = CreateFileMapping(INVALID_HANDLE_VALUE,
                                      nullptr, PAGE_READWRITE, 0, size, filename.c_str());
       if ((error = GetLastError()) == ERROR_SUCCESS) {
-        break;;
+        break;
       }
     }
   } else {
diff --git a/src/storage/gpu_device_storage.h b/src/storage/gpu_device_storage.h
index 3eabe1b502be..6b5df04808b7 100644
--- a/src/storage/gpu_device_storage.h
+++ b/src/storage/gpu_device_storage.h
@@ -25,14 +25,8 @@
 #ifndef MXNET_STORAGE_GPU_DEVICE_STORAGE_H_
 #define MXNET_STORAGE_GPU_DEVICE_STORAGE_H_
 
-#include "mxnet/base.h"
-#include "mxnet/storage.h"
-#include "../common/cuda_utils.h"
-#include "../profiler/storage_profiler.h"
 #if MXNET_USE_CUDA
-#include <cuda_runtime.h>
-#endif  // MXNET_USE_CUDA
-#include <new>
+#include "mxnet/storage.h"
 
 namespace mxnet {
 namespace storage {
@@ -55,46 +49,25 @@ class GPUDeviceStorage {
 };  // class GPUDeviceStorage
 
 inline void GPUDeviceStorage::Alloc(Storage::Handle* handle) {
-  handle->dptr = nullptr;
-  const size_t size = handle->size;
-  if (size == 0) return;
-
-#if MXNET_USE_CUDA
   mxnet::common::cuda::DeviceStore device_store(handle->ctx.real_dev_id(), true);
 #if MXNET_USE_NCCL
   std::lock_guard<std::mutex> l(Storage::Get()->GetMutex(Context::kGPU));
 #endif  // MXNET_USE_NCCL
-  cudaError_t e = cudaMalloc(&handle->dptr, size);
-  if (e != cudaSuccess && e != cudaErrorCudartUnloading) {
-    LOG(FATAL) << "CUDA: " << cudaGetErrorString(e);
-  }
-  // record the allocation event in the memory profiler
-  profiler::GpuDeviceStorageProfiler::Get()->OnAlloc(*handle, size, false);
-#else   // MXNET_USE_CUDA
-  LOG(FATAL) << "Please compile with CUDA enabled";
-#endif  // MXNET_USE_CUDA
+  CUDA_CALL(cudaMalloc(&handle->dptr, handle->size));
+  profiler::GpuDeviceStorageProfiler::Get()->OnAlloc(*handle, handle->size, false);
 }
 
 inline void GPUDeviceStorage::Free(Storage::Handle handle) {
-#if MXNET_USE_CUDA
   mxnet::common::cuda::DeviceStore device_store(handle.ctx.real_dev_id(), true);
 #if MXNET_USE_NCCL
   std::lock_guard<std::mutex> l(Storage::Get()->GetMutex(Context::kGPU));
 #endif  // MXNET_USE_NCCL
-  // throw special exception for caller to catch.
-  cudaError_t err = cudaFree(handle.dptr);
-  // ignore unloading error, as memory has already been recycled
-  if (err != cudaSuccess && err != cudaErrorCudartUnloading) {
-    LOG(FATAL) << "CUDA: " << cudaGetErrorString(err);
-  }
-  // record the deallocation event in the memory profiler
+  CUDA_CALL(cudaFree(handle.dptr))
   profiler::GpuDeviceStorageProfiler::Get()->OnFree(handle);
-#else   // MXNET_USE_CUDA
-  LOG(FATAL) << "Please compile with CUDA enabled";
-#endif  // MXNET_USE_CUDA
 }
 
 }  // namespace storage
 }  // namespace mxnet
 
+#endif  // MXNET_USE_CUDA
 #endif  // MXNET_STORAGE_GPU_DEVICE_STORAGE_H_
diff --git a/src/storage/naive_storage_manager.h b/src/storage/naive_storage_manager.h
index 471b015eb32c..74b9ea7c522a 100644
--- a/src/storage/naive_storage_manager.h
+++ b/src/storage/naive_storage_manager.h
@@ -26,7 +26,6 @@
 #define MXNET_STORAGE_NAIVE_STORAGE_MANAGER_H_
 
 #include "storage_manager.h"
-#include "mxnet/base.h"
 
 namespace mxnet {
 namespace storage {
diff --git a/src/storage/pinned_memory_storage.h b/src/storage/pinned_memory_storage.h
index 5d03fd13a3c9..d8b801154726 100644
--- a/src/storage/pinned_memory_storage.h
+++ b/src/storage/pinned_memory_storage.h
@@ -26,11 +26,7 @@
 #define MXNET_STORAGE_PINNED_MEMORY_STORAGE_H_
 #if MXNET_USE_CUDA
 
-#include <dmlc/logging.h>
-#include "mxnet/base.h"
 #include "mxnet/storage.h"
-#include "../common/cuda_utils.h"
-#include "../profiler/storage_profiler.h"
 
 namespace mxnet {
 namespace storage {
@@ -51,18 +47,12 @@ class PinnedMemoryStorage {
 };
 
 inline void PinnedMemoryStorage::Alloc(Storage::Handle* handle) {
-  handle->dptr = nullptr;
-  const size_t size = handle->size;
-  if (size == 0) return;
-
 #if MXNET_USE_NCCL
   std::lock_guard<std::mutex> lock(Storage::Get()->GetMutex(Context::kGPU));
 #endif
   mxnet::common::cuda::DeviceStore device_store(handle->ctx.real_dev_id(), true);
   // make the memory available across all devices
-  CUDA_CALL(cudaHostAlloc(&handle->dptr, size, cudaHostAllocPortable));
-  // record the allocation event in the memory profiler
-  profiler::GpuDeviceStorageProfiler::Get()->OnAlloc(*handle, size, false);
+  CUDA_CALL(cudaHostAlloc(&handle->dptr, handle->size, cudaHostAllocPortable));
 }
 
 inline void PinnedMemoryStorage::Free(Storage::Handle handle) {
@@ -70,13 +60,7 @@ inline void PinnedMemoryStorage::Free(Storage::Handle handle) {
   std::lock_guard<std::mutex> lock(Storage::Get()->GetMutex(Context::kGPU));
 #endif
   mxnet::common::cuda::DeviceStore device_store(handle.ctx.real_dev_id(), true);
-  cudaError_t err = cudaFreeHost(handle.dptr);
-  // ignore unloading error, as memory has already been recycled
-  if (err != cudaSuccess && err != cudaErrorCudartUnloading) {
-    LOG(FATAL) << "CUDA: " << cudaGetErrorString(err);
-  }
-  // record the deallocation event in the memory profiler
-  profiler::GpuDeviceStorageProfiler::Get()->OnFree(handle);
+  CUDA_CALL(cudaFreeHost(handle.dptr));
 }
 
 }  // namespace storage
diff --git a/src/storage/pooled_storage_manager.h b/src/storage/pooled_storage_manager.h
index c4f32b22bdc2..897725a61a16 100644
--- a/src/storage/pooled_storage_manager.h
+++ b/src/storage/pooled_storage_manager.h
@@ -25,372 +25,418 @@
 #ifndef MXNET_STORAGE_POOLED_STORAGE_MANAGER_H_
 #define MXNET_STORAGE_POOLED_STORAGE_MANAGER_H_
 
-#if MXNET_USE_CUDA
-  #include <cuda_runtime.h>
-#endif  // MXNET_USE_CUDA
-
-#include <mxnet/base.h>
-#include <mxnet/storage.h>
-#include <unordered_map>
-#include <algorithm>
+#include <string>
 #include <vector>
+#include <algorithm>
 #include <mutex>
-#include <new>
+#include <tuple>
 #include "./storage_manager.h"
-#include "../common/cuda_utils.h"
-#include "../common/utils.h"
 #include "../profiler/storage_profiler.h"
 
 
 namespace mxnet {
 namespace storage {
 
+typedef enum {
+  pool_type,
+  pool_page_size,
+  large_alloc_size,
+  round_linear_cutoff,
+  pool_reserve,
+} env_var_type;
+
+const std::string env_var_name(const char* dev_type, env_var_type type);
+
 #if MXNET_USE_CUDA
+#define SET_DEVICE(device_store, contextHelper, ctx, flag) \
+      const auto *device_store = flag? contextHelper.get()->SetCurrentDevice(ctx) : nullptr;
+#define UNSET_DEVICE(device_store)    delete device_store
+
+#define SET_GPU_PROFILER(prof, contextHelper)                          \
+      auto prof = contextHelper->contextGPU()?                         \
+                  profiler::GpuDeviceStorageProfiler::Get() : nullptr; \
+      if (!prof->IsProfiling()) prof = nullptr
+
+#define GPU_PROFILER_ON_FREE(prof, pntr)    if (prof) prof->OnFree(pntr)
+#else
+// empty macros when MxNet is compiled without CUDA support
+#define SET_DEVICE(...)
+#define UNSET_DEVICE(...)
+#define SET_GPU_PROFILER(prof, ...)
+#define GPU_PROFILER_ON_FREE(prof, ...)
+#endif
+
 /*!
- * \brief Storage manager with a memory pool on gpu. Memory chunks are reused based on exact size
- * match.
+ * \brief Storage manager with a memory pool for GPU/CPU/CPUPunned memory chunks
+ * memory chunks which reused based on rounded size match.
+ * Rounding method is defined by the template parameter BucketingStrategy.
+ * Memory pool type is defined by the template parameter StoringMethod
+ * Allocation/freeing of memory is done by contextHelper_, which is the pointer
+ * to one of memory specific instance of the class, derived from ContextHelper
  */
-class GPUPooledStorageManager final : public StorageManager {
+template<typename BucketingStrategy, typename StoringMethod>
+class PooledStorageManager : public StorageManager,
+             public BucketingStrategy, public StoringMethod {
  public:
-  /*!
-   * \brief Default constructor.
-   *
-   * \param initial_context context used by this Storage Manager
-   */
-  explicit GPUPooledStorageManager(Context initial_context) :
-    initial_context_(initial_context) {
-    reserve_ = dmlc::GetEnv("MXNET_GPU_MEM_POOL_RESERVE", 5);
-    page_size_ = dmlc::GetEnv("MXNET_GPU_MEM_POOL_PAGE_SIZE", 4096);
-    large_alloc_round_size_ = dmlc::GetEnv("MXNET_GPU_MEM_LARGE_ALLOC_ROUND_SIZE", 2 * 1024 * 1024);
-    if (large_alloc_round_size_ <= 0) {
-      LOG(FATAL) << "MXNET_GPU_MEM_LARGE_ALLOC_ROUND_SIZE cannot be set to a value <= 0, found: "
-                 << large_alloc_round_size_;
+  explicit PooledStorageManager(const Context &ctx, int num_gpu_device) {
+    const char *dev_type = nullptr;
+    switch (dev_type_ = ctx.dev_type) {
+#if MXNET_USE_CUDA
+      case Context::kGPU:       contextHelper_ = std::make_unique<ContextHelperGPU>();
+                                dev_type = "GPU";
+                                break;
+      case Context::kCPUPinned: dev_type = "CPU_PINNED";
+                                if (num_gpu_device > 1) {
+                                  contextHelper_ = std::make_unique<ContextHelperPinned>();
+                                  dev_type_ = Context::kGPU;
+                                  break;
+                                }
+#else
+      case Context::kCPUPinned: dev_type = "CPU_PINNED";
+#endif
+                                dev_type_ = Context::kCPU;
+      case Context::kCPU:       contextHelper_ = std::make_unique<ContextHelperCPU>();
+                                dev_type = "CPU";
+      default:                  break;
     }
-    if (page_size_ < NDEV) {
-      LOG(FATAL) << "MXNET_GPU_MEM_POOL_PAGE_SIZE cannot be set to a value smaller than " << NDEV \
-                 << ". Got " << page_size_ << ".";
+
+    BucketingStrategy::InitRoundHelper(dev_type);
+    StoringMethod::InitContainer(this);
+    contextHelper_->set_initilal_context(ctx);
+
+    // percentage of reserved memory
+    if (dev_type) {
+      const auto env_var = env_var_name(dev_type, pool_reserve);
+      const size_t reserve = dmlc::GetEnv(env_var.c_str(), 5);
+      const size_t total = std::get<1>(contextHelper_->getMemoryInfo());
+      memory_allocation_limit_ = total * reserve / 100;
     }
   }
   /*!
    * \brief Default destructor.
    */
-  ~GPUPooledStorageManager() {
+  ~PooledStorageManager() override {
     ReleaseAll();
   }
 
   void Alloc(Storage::Handle* handle) override;
-  void Free(Storage::Handle handle) override;
+  void Free(Storage::Handle handle) override {
+    // Insert returned memory in cache
+    std::lock_guard<std::mutex> lock(Storage::Get()->GetMutex(dev_type_));
+    StoringMethod::InsertInCache(BucketingStrategy::get_bucket(handle.size), handle.dptr);
+  }
 
   void DirectFree(Storage::Handle handle) override {
-    std::lock_guard<std::mutex> lock(Storage::Get()->GetMutex(Context::kGPU));
-    DirectFreeNoLock(handle);
+    std::lock_guard<std::mutex> lock(Storage::Get()->GetMutex(dev_type_));
+    SET_DEVICE(device_store, contextHelper_, handle.ctx, true);
+    contextHelper_->Free(handle.dptr);
+    SET_GPU_PROFILER(profilerGPU, contextHelper_);
+    GPU_PROFILER_ON_FREE(profilerGPU, handle.dptr);
+    UNSET_DEVICE(device_store);
+    used_memory_ -= BucketingStrategy::RoundAllocSize(handle.size);
   }
 
-  void ReleaseAll() override;
-
- private:
-  void DirectFreeNoLock(Storage::Handle handle) {
-    mxnet::common::cuda::DeviceStore device_store(handle.ctx.real_dev_id(), true);
-    cudaError_t err = cudaFree(handle.dptr);
-    size_t size = RoundAllocSize(handle.size);
-    // ignore unloading error, as memory has already been recycled
-    if (err != cudaSuccess && err != cudaErrorCudartUnloading) {
-      LOG(FATAL) << "CUDA: " << cudaGetErrorString(err);
-    }
-    used_memory_ -= size;
-    profiler::GpuDeviceStorageProfiler::Get()->OnFree(handle);
+  void ReleaseAll() override {
+    std::lock_guard<std::mutex> lock(Storage::Get()->GetMutex(dev_type_));
+    ReleaseAllNoLock();
   }
 
-  // Round a value 'x' up to the next multiple of 'multiple'
-  size_t RoundToMultiple(size_t x, size_t multiple) {
-    size_t retVal = ((x + multiple - 1) / multiple) * multiple;
-    return retVal;
+ private:
+  void ReleaseAllNoLock(bool set_device = true) {
+    SET_DEVICE(device_store, contextHelper_, contextHelper_->initilal_context(), set_device);
+    used_memory_ -= StoringMethod::ReleaseAllNoLock(contextHelper_.get(), this);
+    UNSET_DEVICE(device_store);
   }
 
-  size_t RoundAllocSize(size_t size) {
-    // Round up small allocs to multiple of page_size_ to consolidate the pool lookups
-    size = RoundToMultiple(size, page_size_);
-    // To ensure proper freeing under some driver variants, make sure
-    // large allocs entirely occupy their slabs, which cannot then be
-    // locked by smaller permanent allocations sharing the slab.
-    if (size > large_alloc_round_size_)
-      size = RoundToMultiple(size, large_alloc_round_size_);
-    return size;
+  bool MemoryIsAvalable(size_t roundSize) const {
+    const auto free = contextHelper_->freeMemorySize();
+    return free > roundSize && memory_allocation_limit_ <= free - roundSize;
   }
 
- private:
+  // device type of used context
+  Context::DeviceType dev_type_;
   // used memory
   size_t used_memory_ = 0;
-  // page size
-  size_t page_size_;
-  // size that large allocations should be rounded to, for proper freeing.
-  size_t large_alloc_round_size_;
-  // percentage of reserved memory
-  int reserve_;
-  // number of devices
-  const size_t NDEV = 32;
-  // context used by this Storage Manager
-  const Context initial_context_;
-  // memory pool
-  std::unordered_map<size_t, std::vector<void*>> memory_pool_;
-  DISALLOW_COPY_AND_ASSIGN(GPUPooledStorageManager);
-};  // class GPUPooledStorageManager
-
-void GPUPooledStorageManager::Alloc(Storage::Handle* handle) {
-  // Set dptr to nullptr when handle size is 0.
-  if (handle->size == 0) {
-    handle->dptr = nullptr;
-    return;
-  }
+  // minimum amount of memory, which will never be allocated
+  size_t memory_allocation_limit_ = 0;
+  // Pointer to the Helper, supporting some context-specific operations in GPU/CPU/CPUPinned context
+  std::unique_ptr<ContextHelper> contextHelper_;
+};
+
+template<typename BucketingStrategy, typename StoringMethod>
+void PooledStorageManager<BucketingStrategy, StoringMethod>::Alloc(Storage::Handle* handle) {
+  std::lock_guard<std::mutex> lock(Storage::Get()->GetMutex(dev_type_));
+  const auto bucket_id = BucketingStrategy::get_bucket(handle->size);
+  size_t roundSize = 0;
+  auto reuse_pool = StoringMethod::GetMemStorage(bucket_id);
+  if (!reuse_pool) {
+    SET_DEVICE(device_store, contextHelper_, handle->ctx, true);
+    roundSize = BucketingStrategy::RoundAllocSizeForBucket(bucket_id);
+    if (!MemoryIsAvalable(roundSize))
+      ReleaseAllNoLock(false);
+
+    void *ret = nullptr;
+    auto e = contextHelper_->Malloc(&ret, roundSize);
+    if (e) {
+      const std::string err(
+#if MXNET_USE_CUDA
+      dev_type_ == Context::kGPU?
+         cudaGetErrorString(static_cast<cudaError_t>(e)) :
+#endif
+         std::strerror(errno));
 
-  std::lock_guard<std::mutex> lock(Storage::Get()->GetMutex(Context::kGPU));
-  size_t size = RoundAllocSize(handle->size);
-  auto&& reuse_it = memory_pool_.find(size);
-  if (reuse_it == memory_pool_.end() || reuse_it->second.size() == 0) {
-    mxnet::common::cuda::DeviceStore device_store(handle->ctx.real_dev_id(), true);
-    size_t free, total;
-    cudaMemGetInfo(&free, &total);
-    if (free <= total * reserve_ / 100 || size > free - total * reserve_ / 100)
-      ReleaseAll();
-
-    void* ret = nullptr;
-    cudaError_t e = cudaMalloc(&ret, size);
-    if (e != cudaSuccess) {
-      if (e == cudaErrorMemoryAllocation) {
-        ReleaseAll();
-        e = cudaMalloc(&ret, size);
-        if (e != cudaSuccess && e != cudaErrorCudartUnloading) {
-          LOG(FATAL) << "cudaMalloc retry failed: " << cudaGetErrorString(e);
-        }
-      } else if (e != cudaErrorCudartUnloading) {
-        LOG(FATAL) << "cudaMalloc failed: " << cudaGetErrorString(e);
-      }
+      LOG(FATAL) << "Memory allocation failed " << err;
     }
-    used_memory_ += size;
+
+    UNSET_DEVICE(device_store);
+
+    used_memory_ += roundSize;
     handle->dptr = ret;
-    // record the allocation event in the memory profiler
-    profiler::GpuDeviceStorageProfiler::Get()->OnAlloc(*handle, size, false);
   } else {
-    auto&& reuse_pool = reuse_it->second;
-    auto ret = reuse_pool.back();
-    reuse_pool.pop_back();
-    handle->dptr = ret;
+    // Reusing memory
+    handle->dptr = reuse_pool->back();
+    reuse_pool->pop_back();
+  }
+#if MXNET_USE_CUDA
+  SET_GPU_PROFILER(profilerGPU, contextHelper_);
+  if (profilerGPU) {
+    if (reuse_pool)  // roundSize was not calculated
+      roundSize = BucketingStrategy::RoundAllocSizeForBucket(bucket_id);
+
     // record the allocation event in the memory profiler
-    profiler::GpuDeviceStorageProfiler::Get()->OnAlloc(*handle, size, true);
+    profilerGPU->OnAlloc(*handle, roundSize, reuse_pool);
   }
+#endif
 }
 
-void GPUPooledStorageManager::Free(Storage::Handle handle) {
-  // Do nothing if dptr is nullptr. Otherwise, nullptr may be reused
-  // which can cause illegal memory access error.
-  if (handle.dptr == nullptr) return;
 
-  std::lock_guard<std::mutex> lock(Storage::Get()->GetMutex(Context::kGPU));
-  size_t size = RoundAllocSize(handle.size);
-  auto&& reuse_pool = memory_pool_[size];
-  reuse_pool.push_back(handle.dptr);
-}
+/*!
+ * \brief Base class for Rounding Method classes.
+ */
+class RoundHelper {
+ public:
+  virtual size_t get_size(size_t  /*bucket*/) const { return 0; }
+  virtual std::tuple<size_t, size_t> getContainerParam() const {
+     return std::tuple<size_t, size_t>(0, 0);
+  }
 
-void GPUPooledStorageManager::ReleaseAll() {
-  for (auto&& i : memory_pool_) {
-    for (auto&& j : i.second) {
-      Storage::Handle handle;
-      handle.dptr = j;
-      handle.size = i.first;
-      handle.ctx = initial_context_;
-      DirectFreeNoLock(handle);
+ protected:
+  void InitRoundHelper(const char* dev_type) {
+    const auto env_var = env_var_name(dev_type, pool_page_size);
+    page_size_ = dmlc::GetEnv(env_var.c_str(), 4096);
+    if (page_size_ < NDEV) {
+      LOG(FATAL) << env_var << " cannot be set to a value smaller than " << NDEV \
+                    << ". Got " << page_size_ << ".";
     }
   }
-  memory_pool_.clear();
-}
+
+  // page size
+  size_t page_size_ = 0;
+
+ private:
+  // number of devices
+  const size_t NDEV = 32;
+};  // class RoundHelper
 
 /*!
- * \brief Storage manager with a memory pool, with rounded size, on gpu.
+ * \brief Rounding method used by CPU/GPU mem pool.
+ * Round up small allocs to multiple of page_size_ or large_alloc_round_size_
+ */
+class RoundMultiple : protected RoundHelper {
+ protected:
+  void InitRoundHelper(const char *dev_type) {
+    RoundHelper::InitRoundHelper(dev_type);
+    const auto env_var = env_var_name(dev_type, large_alloc_size);
+    large_alloc_round_size_ = dmlc::GetEnv(env_var.c_str(), 2*1024*1024);
+    if (large_alloc_round_size_ <= 0) {
+      LOG(FATAL) << env_var << " cannot be set to a value <= 0, found: "
+                 << large_alloc_round_size_;
+    }
+  }
+
+  size_t RoundAllocSize(size_t size) const {
+    // Round up small allocs to multiple of page_size_ to consolidate the pool lookups
+    size = RoundToMultiple(size, page_size_);
+    // To ensure proper freeing under some driver variants, make sure
+    // large allocs entirely occupy their slabs, which cannot then be
+    // locked by smaller permanent allocations sharing the slab.
+    return  size > large_alloc_round_size_? RoundToMultiple(size, large_alloc_round_size_) : size;
+  }
+  inline size_t get_bucket(size_t size) const                   { return RoundAllocSize(size); }
+  inline size_t RoundAllocSizeForBucket(size_t bucket_id) const { return bucket_id; }
+
+ private:
+  // Round a value 'x' up to the next multiple of 'multiple'
+  inline static size_t RoundToMultiple(size_t x, size_t multiple) {
+    return ((x + multiple - 1) / multiple) * multiple;
+  }
+
+  // size that large allocations should be rounded to, for proper freeing.
+  size_t large_alloc_round_size_;
+};  // class RoundMultiple
+
+/*!
+ * \brief Rounding method used by CPU/GPU mem pool.
  *
- * This GPU mem pool uses a mixture of nearest pow2 (exponential) rounding and
+ * This Rounding method uses a mixture of nearest pow2 (exponential) rounding and
  * nearest multiple (linear) rounding to help alleviate the memory allocation stress
  * in which the default naive exact-size-match pool falls short, such as in variable-length
  * input/output cases like RNN workloads.
  *
  * \param cutoff the cutoff at which rounding is switched from exponential to linear. It's set
- * through MXNET_GPU_MEM_POOL_ROUND_LINEAR_CUTOFF environment variable. Must be between 20 (1 MB)
- * and 34 (16 GB).
+ * through MXNET_GPU_MEM_POOL_ROUND_LINEAR_CUTOFF / MXNET_CPU_MEM_POOL_ROUND_LINEAR_CUTOFF /
+ * MXNET_CPU_PINNED_MEM_POOL_ROUND_LINEAR_CUTOFF environment variable.
+ * Must be between 20 (1 MB) and 34 (16 GB).
  * Suppose the cutoff is X, the memory size buckets look like this:
  * exp2(0), exp2(1), ..., exp2(X), 2*exp2(X), 3*exp2(X), ...
  */
-class GPUPooledRoundedStorageManager final : public StorageManager {
+class RoundPower2 : public RoundHelper {
  public:
-  /*!
-   * \brief Default constructor.
-   *
-   * \param initial_context context used by this Storage Manager
-   */
-  explicit GPUPooledRoundedStorageManager(Context initial_context) :
-    initial_context_(initial_context) {
-    reserve_ = dmlc::GetEnv("MXNET_GPU_MEM_POOL_RESERVE", 5);
-    page_size_ = dmlc::GetEnv("MXNET_GPU_MEM_POOL_PAGE_SIZE", 4096);
-    cut_off_ = dmlc::GetEnv("MXNET_GPU_MEM_POOL_ROUND_LINEAR_CUTOFF", 24);
-    if (page_size_ < 32) {
-      LOG(FATAL) << "MXNET_GPU_MEM_POOL_PAGE_SIZE cannot be set to a value smaller than 32. " \
-                 << "Got: " << page_size_ << ".";
-    }
-    if (page_size_ != 1ul << common::ilog2ul(page_size_ - 1)) {
-      LOG(FATAL) << "MXNET_GPU_MEM_POOL_PAGE_SIZE must be a power of 2. Got: " << page_size_ << ".";
+  size_t get_size(size_t bucket) const override {
+    return bucket <= cut_off_? 1ul << bucket : (bucket - cut_off_ + 1) << cut_off_;
+  }
+
+ protected:
+  void InitRoundHelper(const char *dev_type) {
+    RoundHelper::InitRoundHelper(dev_type);
+    const auto log_pager_size = common::ilog2ul(page_size_ - 1);
+    if (page_size_ != 1ul << log_pager_size) {
+      LOG(FATAL) << env_var_name(dev_type, pool_page_size) \
+                 << " must be a power of 2. Got: " << page_size_ << ".";
     }
-    page_size_ = common::ilog2ul(page_size_ - 1);
+    page_size_ = log_pager_size;
+
+    const auto linear_cutoff = env_var_name(dev_type, round_linear_cutoff);
+    cut_off_ = dmlc::GetEnv(linear_cutoff.c_str(), 24);
     if (cut_off_ < 20 || cut_off_ > LOG2_MAX_MEM) {
-      LOG(FATAL) << "MXNET_GPU_MEM_POOL_ROUND_LINEAR_CUTOFF cannot be set to a value " \
+      LOG(FATAL) << linear_cutoff << " cannot be set to a value " \
                  << "smaller than 20 or greater than " << LOG2_MAX_MEM << ". Got: " \
                  << cut_off_ << ".";
     }
     if (cut_off_ < page_size_) {
-      LOG(FATAL) << "MXNET_GPU_MEM_POOL_ROUND_LINEAR_CUTOFF cannot be set to a value " \
-                 << "smaller than log2 of MXNET_GPU_MEM_POOL_PAGE_SIZE. Got: " \
+      LOG(FATAL) << linear_cutoff << " cannot be set to a value smaller than log2 of " \
+                 << env_var_name(dev_type, pool_page_size) << ". Got: " \
                  << cut_off_ << " vs " << page_size_ << ".";
     }
-    memory_pool_ = std::vector<std::vector<void*>>((1ul << (LOG2_MAX_MEM - cut_off_)) + cut_off_);
-  }
-  /*!
-   * \brief Default destructor.
-   */
-  ~GPUPooledRoundedStorageManager() {
-    ReleaseAll();
   }
 
-  void Alloc(Storage::Handle* handle) override;
-  void Free(Storage::Handle handle) override;
+  inline size_t get_bucket(size_t s) const {
+    const size_t log_size = common::ilog2ul(s - 1);
+    if (log_size > cut_off_)
+      return div_pow2_round_up(s, cut_off_) - 1 + cut_off_;
 
-  void DirectFree(Storage::Handle handle) override {
-    std::lock_guard<std::mutex> lock(Storage::Get()->GetMutex(Context::kGPU));
-    DirectFreeNoLock(handle);
+    return std::max(log_size, page_size_);
   }
 
-  void ReleaseAll() override;
+  inline size_t RoundAllocSizeForBucket(size_t bucket_id) const { return get_size(bucket_id); }
+  inline size_t RoundAllocSize(size_t size) const { return get_size(get_bucket(size)); }
+  std::tuple<size_t, size_t> getContainerParam() const override {
+    return std::make_tuple((1ul << (LOG2_MAX_MEM - cut_off_)) + cut_off_,
+                       get_bucket(page_size_) - 1);
+  }
 
  private:
-  inline int div_pow2_round_up(size_t s, int divisor_log2) {
+  inline static int div_pow2_round_up(size_t s, int divisor_log2) {
     // (1025, 10) -> 2
     // (2048, 10) -> 2
     // (2049, 10) -> 3
-    size_t result = s >> divisor_log2;
+    const size_t result = s >> divisor_log2;
     return static_cast<int>(result + (s > (result << divisor_log2) ? 1 : 0));
   }
-  inline int get_bucket(size_t s) {
-    int log_size = common::ilog2ul(s - 1);
-    if (log_size > static_cast<int>(cut_off_))
-      return div_pow2_round_up(s, cut_off_) - 1 + cut_off_;
-    else
-      return std::max(log_size, static_cast<int>(page_size_));
-  }
-  inline size_t get_size(int bucket) {
-    if (bucket <= static_cast<int>(cut_off_))
-      return 1ul << bucket;
-    else
-      return (bucket - cut_off_ + 1) * (1ul << cut_off_);
-  }
 
-  void DirectFreeNoLock(Storage::Handle handle) {
-    mxnet::common::cuda::DeviceStore device_store(handle.ctx.real_dev_id(), true);
-    cudaError_t err = cudaFree(handle.dptr);
-    size_t size = get_size(get_bucket(handle.size));
-    // ignore unloading error, as memory has already been recycled
-    if (err != cudaSuccess && err != cudaErrorCudartUnloading) {
-      LOG(FATAL) << "CUDA: " << cudaGetErrorString(err);
-    }
-    used_memory_ -= size;
-    profiler::GpuDeviceStorageProfiler::Get()->OnFree(handle);
-  }
-
- private:
   // log2 of maximum page size. 16GB
   const size_t LOG2_MAX_MEM = 34;
-  // address width in bits
-  static const int addr_width = sizeof(size_t) * 8;
-  // used memory
-  size_t used_memory_ = 0;
-  // page size
-  size_t page_size_;
   // log2 of memory size before switching to exponential mode to linear mode
-  size_t cut_off_;
-  // percentage of reserved memory
-  int reserve_;
-  // context used by this Storage Manager
-  const Context initial_context_;
-  // memory pool
-  std::vector<std::vector<void*>> memory_pool_;
-  DISALLOW_COPY_AND_ASSIGN(GPUPooledRoundedStorageManager);
-};  // class GPUPooledRoundedStorageManager
-
-void GPUPooledRoundedStorageManager::Alloc(Storage::Handle* handle) {
-  // Set dptr to nullptr when handle size is 0.
-  if (handle->size == 0) {
-    handle->dptr = nullptr;
-    return;
+  size_t cut_off_ = 0;
+};  // class RoundPower2
+
+
+/*!
+ * \brief Unordered map based storage container.
+ *  The pointers to the portions of same rounded sizes memory
+ *  allocated on CPU/GPU, are stored in separate vectors.
+ *  These sizes are used as keys for accessing the vectors,
+ *  which are the elements stored in an unordered map.
+ */
+class UnorderedMapContainer {
+ protected:
+  inline void InitContainer(const RoundHelper *p)   {}
+  inline void InsertInCache(size_t key, void *dptr) { memory_pool_[key].push_back(dptr); }
+
+  inline std::vector<void*> *GetMemStorage(size_t key) {
+    auto&& reuse_it = memory_pool_.find(key);
+    return reuse_it != memory_pool_.end() && reuse_it->second.size()? &reuse_it->second : nullptr;
   }
 
-  std::lock_guard<std::mutex> lock(Storage::Get()->GetMutex(Context::kGPU));
-  int bucket = get_bucket(handle->size);
-  size_t size = get_size(bucket);
-  auto&& reuse_pool = memory_pool_[bucket];
-  if (reuse_pool.size() == 0) {
-    mxnet::common::cuda::DeviceStore device_store(handle->ctx.real_dev_id(), true);
-    size_t free, total;
-    cudaMemGetInfo(&free, &total);
-    if (free <= total * reserve_ / 100 || size > free - total * reserve_ / 100)
-      ReleaseAll();
-
-    void* ret = nullptr;
-    cudaError_t e = cudaMalloc(&ret, size);
-    if (e != cudaSuccess) {
-      if (e == cudaErrorMemoryAllocation) {
-        ReleaseAll();
-        e = cudaMalloc(&ret, size);
-        if (e != cudaSuccess && e != cudaErrorCudartUnloading) {
-          LOG(FATAL) << "cudaMalloc retry failed: " << cudaGetErrorString(e);
-        }
-      } else if (e != cudaErrorCudartUnloading) {
-        LOG(FATAL) << "cudaMalloc failed: " << cudaGetErrorString(e);
+  size_t ReleaseAllNoLock(const ContextHelper *contextHelper, const RoundHelper * /*rndHelper*/) {
+    SET_GPU_PROFILER(profilerGPU, contextHelper);
+    size_t released_memory = 0;
+    for (auto&& i : memory_pool_) {
+      for (auto&& j : i.second) {
+        contextHelper->Free(j);
+        GPU_PROFILER_ON_FREE(profilerGPU, j);
       }
+      released_memory += i.first * i.second.size();
+      i.second.clear();
     }
-    used_memory_ += size;
-    handle->dptr = ret;
-    // record the allocation event in the memory profiler
-    profiler::GpuDeviceStorageProfiler::Get()->OnAlloc(*handle, size, false);
-  } else {
-    auto ret = reuse_pool.back();
-    reuse_pool.pop_back();
-    handle->dptr = ret;
-    // record the allocation event in the memory profiler
-    profiler::GpuDeviceStorageProfiler::Get()->OnAlloc(*handle, size, true);
+    memory_pool_.clear();
+    return released_memory;
   }
-}
 
-void GPUPooledRoundedStorageManager::Free(Storage::Handle handle) {
-  // Do nothing if dptr is nullptr. Otherwise, nullptr may be reused
-  // which can cause illegal memory access error.
-  if (handle.dptr == nullptr) return;
+ private:
+  std::unordered_map<size_t, std::vector<void *>> memory_pool_;
+};  // class UnorderedMapContainer
 
-  std::lock_guard<std::mutex> lock(Storage::Get()->GetMutex(Context::kGPU));
-  int bucket = get_bucket(handle.size);
-  auto&& reuse_pool = memory_pool_[bucket];
-  reuse_pool.push_back(handle.dptr);
-}
+/*!
+ * \brief Vector-container based storage container. It should be used ONLY with the RoundPower2.
+ *  The pointers to the portions of same rounded size allocated on
+ *  GPU/CPU/CPU_Pinned memory, are stored in separate vectors.
+ *  The vectors themselves are stored in the vector-container and could
+ *  be accessed by the indices calculated as a functions of rounded size
+ *  (see description for RoundPower2 for more details)
+ */
+class VectorContainer {
+ protected:
+  inline void InitContainer(const RoundHelper *p) {
+    size_t vector_size;
+    std::tie(vector_size, first_bucket_) = p->getContainerParam();
+    memory_pool_ .resize(vector_size);
+  }
+
+  inline void InsertInCache(size_t idx, void *dptr) { memory_pool_[idx].push_back(dptr); }
 
-void GPUPooledRoundedStorageManager::ReleaseAll() {
-  for (size_t i = 0; i < memory_pool_.size(); i++) {
-    int size = get_size(i);
-    for (auto& j : memory_pool_[i]) {
-      Storage::Handle handle;
-      handle.size = size;
-      handle.dptr = j;
-      handle.ctx = initial_context_;
-      DirectFreeNoLock(handle);
+  std::vector<void*> *GetMemStorage(size_t idx) {
+    auto &&reuse_pool = memory_pool_[idx];
+    return reuse_pool.size() ? &reuse_pool : nullptr;
+  }
+
+  size_t ReleaseAllNoLock(const ContextHelper *contextHelper, const RoundHelper *rndHelper) {
+    SET_GPU_PROFILER(profilerGPU, contextHelper);
+    size_t released_memory = 0;
+    for (size_t i = first_bucket_; i < memory_pool_.size(); i++) {
+      if (!memory_pool_[i].size())
+        continue;
+
+      for (auto &j : memory_pool_[i]) {
+        contextHelper->Free(j);
+        GPU_PROFILER_ON_FREE(profilerGPU, j);
+      }
+      released_memory += rndHelper->get_size(i) * memory_pool_[i].size();
+      memory_pool_[i].clear();
     }
-    memory_pool_[i].clear();
+    return released_memory;
   }
-}
 
-#endif  // MXNET_USE_CUDA
+ private:
+  std::vector<std::vector<void*>> memory_pool_;
+  size_t first_bucket_;
+};  // class VectorContainer
+
+// For backward compatibility, define previously used classes via new components.
+// Just in case, if someone uses these classes in other places, besides
+// the storage.cc, where the corresponding changes have already been made.
+typedef PooledStorageManager<RoundMultiple, UnorderedMapContainer> GPUPooledStorageManager;
+typedef PooledStorageManager<RoundPower2, VectorContainer> GPUPooledRoundedStorageManager;
 
 }  // namespace storage
 }  // namespace mxnet
diff --git a/src/storage/storage.cc b/src/storage/storage.cc
index c0903d280a63..f359b30f151e 100644
--- a/src/storage/storage.cc
+++ b/src/storage/storage.cc
@@ -32,6 +32,7 @@
 #include "../profiler/storage_profiler.h"
 
 namespace mxnet {
+namespace storage {
 
 // consider change storage as a pure abstract class
 class StorageImpl : public Storage {
@@ -39,91 +40,165 @@ class StorageImpl : public Storage {
   void Alloc(Handle* handle) override;
   void Free(Handle handle) override;
   void DirectFree(Handle handle) override;
-  void ReleaseAll(Context ctx) override;
+  void ReleaseAll(Context ctx) override   { storage_manager(ctx)->ReleaseAll(); }
+
   void SharedIncrementRefCount(Handle handle) override;
-  StorageImpl() {}
-  virtual ~StorageImpl() = default;
+  StorageImpl() = default;
+  ~StorageImpl() override = default;
 
  private:
-  static constexpr size_t kMaxNumberOfDevices = Context::kMaxDevType + 1;
-#if MXNET_USE_CUDA
-  static int num_gpu_device;
-#endif  // MXNET_USE_CUDA
+  std::shared_ptr<StorageManager> storage_manager(const Context &ctx) {
+    auto &&device = storage_managers_.at(ctx.dev_type);
+    std::shared_ptr<StorageManager> manager = device.Get(
+      ctx.real_dev_id(), []() {
+      LOG(FATAL) << "Cannot Free space to a device you have not allocated";
+      return nullptr;
+      });
+    return manager;
+  }
 
+  static constexpr size_t kMaxNumberOfDevices = Context::kMaxDevType + 1;
   // internal storage managers
-  std::array<common::LazyAllocArray<storage::StorageManager>,
-             kMaxNumberOfDevices> storage_managers_;
+  std::array<common::LazyAllocArray<StorageManager>, kMaxNumberOfDevices> storage_managers_;
   profiler::DeviceStorageProfiler profiler_;
 };  // struct Storage::Impl
+
+StorageManager *CreateStorageManager(const Context &ctx, const char *context,
+                                     int num_gpu_device, std::string *pStrategy) {
+  const auto env_var = env_var_name(context, pool_type);
+  const char *type = getenv(env_var.c_str());
+  if (type == nullptr)
+    type = "Naive";   // default pool
+
+  *pStrategy = type;
+  StorageManager *ptr = nullptr;
+  if (*pStrategy == "Round") {
+    ptr = new PooledStorageManager<RoundPower2, VectorContainer>(ctx, num_gpu_device);
+  } else if (*pStrategy == "Naive") {
+    ptr = new PooledStorageManager<RoundMultiple, UnorderedMapContainer>(ctx, num_gpu_device);
+  } else if (*pStrategy == "Unpooled") {
+    if (ctx.dev_type == Context::kCPU || num_gpu_device == 0)
+      ptr = new NaiveStorageManager<CPUDeviceStorage>();
 #if MXNET_USE_CUDA
-int StorageImpl::num_gpu_device = 0;
-#endif  // MXNET_USE_CUDA
+    else if (ctx.dev_type == Context::kGPU)
+      ptr = new NaiveStorageManager<GPUDeviceStorage>();
+    else              // Context::kCPUPinned
+      ptr = new NaiveStorageManager<PinnedMemoryStorage>();
+#endif
+  }
+  return ptr;
+}
+
+void StorageImpl::Alloc(Storage::Handle *handle) {
+  // Set dptr to nullptr when handle size is 0.
+  if (handle->size == 0) {
+    handle->dptr = nullptr;
+    return;
+  }
 
-void StorageImpl::Alloc(Storage::Handle* handle) {
   // space already recycled, ignore request
-  auto&& device = storage_managers_.at(handle->ctx.dev_type);
-  std::shared_ptr<storage::StorageManager> manager = device.Get(
-      handle->ctx.real_dev_id(), [handle]() {
-        storage::StorageManager *ptr = nullptr;
-        switch (handle->ctx.dev_type) {
-          case Context::kCPU: {
-            ptr = new storage::NaiveStorageManager<storage::CPUDeviceStorage>();
-            break;
-          }
-          case Context::kCPUShared: {
-#if !defined(ANDROID) && !defined(__ANDROID__)
-            ptr = new storage::CPUSharedStorageManager();
-#else
-            LOG(FATAL) << "Unimplemented device";
-#endif  // !defined(ANDROID) && !defined(__ANDROID__)
-            break;
-          }
-          case Context::kCPUPinned: {
+  auto &&device = storage_managers_.at(handle->ctx.dev_type);
+  std::shared_ptr<StorageManager> manager = device.Get(
+    handle->ctx.real_dev_id(), [handle]() {
+    const auto dev_type = handle->ctx.dev_type;
+    int num_gpu_device = 0;
+#if MXNET_USE_CUDA
+    switch (dev_type) {
+      case Context::kGPU:
+      case Context::kCPUPinned:
+        if (cudaGetDeviceCount(&num_gpu_device) != cudaSuccess)
+          num_gpu_device = 0;
+      default:
+        break;
+    }
+#endif
+
+    const char *context = nullptr;
+    switch (dev_type) {
+      case Context::kCPU:
+        context = "CPU";
+        break;
+      case Context::kGPU:
 #if MXNET_USE_CUDA
-            num_gpu_device = 0;
-            cudaError_t e = cudaGetDeviceCount(&num_gpu_device);
-            if (e != cudaSuccess) {
-              num_gpu_device = 0;
-            }
-            if (num_gpu_device > 0) {
-              ptr = new storage::NaiveStorageManager<storage::PinnedMemoryStorage>();
-            } else {
-              ptr = new storage::NaiveStorageManager<storage::CPUDeviceStorage>();
-            }
+        context = "GPU";
+        CHECK_GT(num_gpu_device, 0) << "GPU usage requires at least 1 GPU";
 #else
-            ptr = new storage::NaiveStorageManager<storage::CPUDeviceStorage>();
-#endif  // MXNET_USE_CUDA
-            break;
-          }
-          case Context::kGPU: {
+        LOG(FATAL) << "Compile with USE_CUDA=1 to enable GPU usage";
+#endif
+        break;
+      case Context::kCPUPinned:
+        context = "CPU_PINNED";
+        break;
+      case Context::kCPUShared:
+        // We will not generate the log messages for CPUShared
+        // It could be as many of them as the number of "workers".
+#if !defined(ANDROID) && !defined(__ANDROID__)
+        break;   // For Android shared memory is not implemented
+#endif
+      default:
+        LOG(FATAL) << "Unimplemented device " << dev_type;
+    }
+
+    // By default, the Pooled Storage Manager will be used, if it is available
+    int naive_storage_manager = dmlc::GetEnv("MXNET_USE_NAIVE_STORAGE_MANAGER", 0);
+    if (!naive_storage_manager) {
+      // Because, the pooled storage managers are NOT implemented yet for
+      // following dev_type's, we will also use the naive storage managers
+      switch (dev_type) {
+#if MXNET_USE_CUDA
+        case Context::kCPUPinned: if (num_gpu_device > 0)
+                                     break;
+#endif
+        case Context::kCPUShared:  naive_storage_manager = true;
+        default:                   break;
+      }
+    }
+
+    StorageManager *ptr = nullptr;
+    std::string strategy, storage_manager_type;
+    if (naive_storage_manager) {
+      storage_manager_type = "Naive";
+      switch (dev_type) {
 #if MXNET_USE_CUDA
-            CUDA_CALL(cudaGetDeviceCount(&num_gpu_device));
-            CHECK_GT(num_gpu_device, 0) << "GPU usage requires at least 1 GPU";
-
-            const char *type = getenv("MXNET_GPU_MEM_POOL_TYPE");
-            const bool default_pool = (type == nullptr);
-            if (default_pool) type = "Naive";
-            std::string strategy = type;
-
-            if (strategy == "Round") {
-              ptr = new storage::GPUPooledRoundedStorageManager(handle->ctx);
-              LOG(INFO) << "Using GPUPooledRoundedStorageManager.";
-            } else if (strategy == "Naive") {
-              ptr = new storage::GPUPooledStorageManager(handle->ctx);
-            } else if (strategy == "Unpooled") {
-              ptr = new storage::NaiveStorageManager<storage::GPUDeviceStorage>();
-            } else {
-              LOG(FATAL) << "Unknown memory pool strategy specified: " << strategy << ".";
-            }
+        case Context::kGPU:
+              ptr = new NaiveStorageManager<GPUDeviceStorage>();
+              break;
+        case Context::kCPUPinned:
+              if (num_gpu_device > 0) {
+                ptr = new NaiveStorageManager<PinnedMemoryStorage>();
+                break;
+              }
 #else
-            LOG(FATAL) << "Compile with USE_CUDA=1 to enable GPU usage";
-#endif  // MXNET_USE_CUDA
-            break;
-          }
-          default: LOG(FATAL) <<  "Unimplemented device " << handle->ctx.dev_type;
-        }
-        return ptr;
-      });
+        case Context::kCPUPinned:
+#endif
+        case Context::kCPU:
+              ptr = new NaiveStorageManager<CPUDeviceStorage>();
+              break;
+#if !defined(ANDROID) && !defined(__ANDROID__)
+        case Context::kCPUShared:
+              ptr = new CPUSharedStorageManager();
+#endif
+        default: break;
+      }
+    } else {
+      // Some Pooled Storage Manager will be used
+      std::string strategy;
+      ptr = CreateStorageManager(handle->ctx, context, num_gpu_device, &strategy);
+      if (ptr) {
+        if (strategy != "Unpooled")
+          storage_manager_type = "Pooled (" + strategy + ")";
+        else
+          storage_manager_type = "Unpooled";
+      } else {
+        LOG(FATAL) << "Unknown memory pool strategy specified: " << strategy << ".";
+      }
+    }
+
+    if (context)
+      LOG(INFO) << "Using " << storage_manager_type << " StorageManager for " << context;
+
+    return ptr;
+  });
 
   manager->Alloc(handle);
   profiler_.OnAlloc(*handle);
@@ -134,15 +209,7 @@ void StorageImpl::Free(Storage::Handle handle) {
   // been freed or have not been allocated memory yet.
   if (handle.dptr == nullptr) return;
 
-  const Context &ctx = handle.ctx;
-  auto&& device = storage_managers_.at(ctx.dev_type);
-  std::shared_ptr<storage::StorageManager> manager = device.Get(
-      ctx.real_dev_id(), []() {
-        LOG(FATAL) <<  "Cannot Free space to a device you have not allocated";
-        return nullptr;
-      });
-
-  manager->Free(handle);
+  storage_manager(handle.ctx)->Free(handle);
   profiler_.OnFree(handle);
 }
 
@@ -151,28 +218,10 @@ void StorageImpl::DirectFree(Storage::Handle handle) {
   // been freed or have not been allocated memory yet.
   if (handle.dptr == nullptr) return;
 
-  const Context &ctx = handle.ctx;
-  auto&& device = storage_managers_.at(ctx.dev_type);
-  std::shared_ptr<storage::StorageManager> manager = device.Get(
-      ctx.real_dev_id(), []() {
-        LOG(FATAL) <<  "Cannot Free space to a device you have not allocated";
-        return nullptr;
-      });
-
-  manager->DirectFree(handle);
+  storage_manager(handle.ctx)->DirectFree(handle);
   profiler_.OnFree(handle);
 }
 
-void StorageImpl::ReleaseAll(Context ctx) {
-  auto&& device = storage_managers_.at(ctx.dev_type);
-  std::shared_ptr<storage::StorageManager> manager = device.Get(
-    ctx.real_dev_id(), []() {
-    LOG(FATAL) << "Cannot Free space to a device you have not allocated";
-    return nullptr;
-  });
-  manager->ReleaseAll();
-}
-
 void StorageImpl::SharedIncrementRefCount(Storage::Handle handle) {
   CHECK_EQ(handle.ctx.dev_type, Context::kCPUShared);
   auto&& device = storage_managers_.at(Context::kCPUShared);
@@ -180,20 +229,34 @@ void StorageImpl::SharedIncrementRefCount(Storage::Handle handle) {
       LOG(FATAL) << "Cannot increment ref count before allocating any shared memory.";
       return nullptr;
     });
-#if defined(ANDROID) || defined(__ANDROID__)
-  LOG(FATAL) << "Shared memory not implemented on Android";
+#if !defined(ANDROID) && !defined(__ANDROID__)
+  dynamic_cast<CPUSharedStorageManager*>(manager.get())->IncrementRefCount(handle);
 #else
-  dynamic_cast<storage::CPUSharedStorageManager*>(manager.get())->IncrementRefCount(handle);
-#endif  // defined(ANDROID) || defined(__ANDROID__)
+  LOG(FATAL) << "Shared memory not implemented on Android";
+#endif  // !defined(ANDROID) && !defined(__ANDROID__)
+}
+
+const std::string env_var_name(const char* dev_type, env_var_type type) {
+  static const std::array<std::string, 5> name = {
+                        "MEM_POOL_TYPE",
+                        "POOL_PAGE_SIZE",
+                        "MEM_LARGE_ALLOC_ROUND_SIZE",
+                        "MEM_POOL_ROUND_LINEAR_CUTOFF",
+                        "MEM_POOL_RESERVE",
+                        };
+
+  return std::string("MXNET_") + dev_type + "_" + name[type];
 }
 
+}  // namespace storage
+
 std::shared_ptr<Storage> Storage::_GetSharedRef() {
 #ifdef __MXNET_JS__
   // dummy code needed for emscripten code to pass
   // do not know why, the new will be NULLPTR
   static int *q = new int();
 #endif
-  static std::shared_ptr<Storage> inst(new StorageImpl());
+  static std::shared_ptr<Storage> inst(new storage::StorageImpl());
   return inst;
 }
 
diff --git a/src/storage/storage_manager.h b/src/storage/storage_manager.h
index 13be16ebe70f..48077aad548f 100644
--- a/src/storage/storage_manager.h
+++ b/src/storage/storage_manager.h
@@ -26,8 +26,8 @@
 #ifndef MXNET_STORAGE_STORAGE_MANAGER_H_
 #define MXNET_STORAGE_STORAGE_MANAGER_H_
 
+#include "./storage_manager_helpers.h"
 #include <mxnet/storage.h>
-#include <cstddef>
 
 namespace mxnet {
 namespace storage {
diff --git a/src/storage/storage_manager_helpers.h b/src/storage/storage_manager_helpers.h
new file mode 100644
index 000000000000..e144af2ab9a3
--- /dev/null
+++ b/src/storage/storage_manager_helpers.h
@@ -0,0 +1,162 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+#ifndef MXNET_STORAGE_STORAGE_MANAGER_HELPERS_H_
+#define MXNET_STORAGE_STORAGE_MANAGER_HELPERS_H_
+
+#if MXNET_USE_CUDA
+#include <cuda_runtime.h>
+#include "../common/cuda_utils.h"
+#include "../profiler/storage_profiler.h"
+typedef  mxnet::common::cuda::DeviceStore CudaDeviceStore;
+#endif  // MXNET_USE_CUDA
+
+#ifndef _WIN32
+#if __APPLE__
+#include <mach/vm_statistics.h>
+#include <mach/mach_types.h>
+#include <mach/mach_init.h>
+#include <mach/mach_host.h>
+#else
+#include <sys/sysinfo.h>
+#endif  // __APPLE__
+#else
+#include <Windows.h>
+#include <process.h>
+#endif  // _WIN32
+
+#include <tuple>
+
+namespace mxnet {
+namespace storage {
+
+/*!
+ * \brief Abstract class, which contains context specific methods used by PooledStorageManager.
+ */
+class ContextHelper {
+ public:
+  virtual ~ContextHelper()                              {}
+
+  inline void set_initilal_context(const Context &ctx)  { initilal_context_ = ctx; }
+  inline const Context &initilal_context() const        { return initilal_context_; }
+  virtual std::tuple<size_t, size_t> getMemoryInfo() const = 0;
+  virtual int Malloc(void **ppNtr, size_t size) const = 0;
+  virtual void Free(void *dptr) const = 0;
+  inline size_t freeMemorySize() const                  { return std::get<0>(getMemoryInfo()); }
+
+#if MXNET_USE_CUDA
+  virtual bool contextGPU() const                       { return false; }
+  virtual const CudaDeviceStore *SetCurrentDevice(const Context &/*ctx*/) const { return nullptr; }
+#endif
+
+ private:
+  // context used by this Storage Manager
+  Context initilal_context_;
+};
+
+/*!
+ * \brief Class, which contains the CPU specific methods used by PooledStorageManager.
+ */
+class ContextHelperCPU : public ContextHelper {
+ public:
+  std::tuple<size_t, size_t> getMemoryInfo() const override {
+#if defined(_WIN32) || defined(_WIN64) || defined(__WINDOWS__)
+    MEMORYSTATUSEX status;
+    status.dwLength = sizeof(status);
+    GlobalMemoryStatusEx(&status);
+    return std::make_tuple(status.ullAvailPhys, status.ullTotalPhys);
+#elif __APPLE__
+    vm_size_t page_size;
+    vm_statistics64_data_t vm_stats;
+
+    mach_port_t mach_port = mach_host_self();
+    mach_msg_type_number_t count = sizeof(vm_stats) / sizeof(natural_t);
+    if (KERN_SUCCESS != host_page_size(mach_port, &page_size) ||
+        KERN_SUCCESS != host_statistics64(mach_port, HOST_VM_INFO,
+                                          (host_info64_t)&vm_stats, &count)) {
+      LOG(FATAL) << "Cannot get memory information";
+    }
+
+    const size_t free_memory = (uint64_t)vm_stats.free_count * (uint64_t)page_size;
+
+    const size_t used_memory = ((uint64_t)vm_stats.active_count +
+                                (uint64_t)vm_stats.inactive_count +
+                                (uint64_t)vm_stats.wire_count) *  (uint64_t)page_size;
+
+    return std::make_tuple(free_memory, used_memory + free_memory);
+#else   // Linux
+    struct sysinfo info = {};
+    if (sysinfo(&info) < 0)
+      LOG(FATAL) << "Error: sysinfo failed";
+
+    return std::make_tuple(info.freeram, info.totalram);
+#endif
+  }
+
+  int Malloc(void **ppNtr, size_t size) const override {
+    return (*ppNtr = std::malloc(size))? 0 : -1;
+  }
+
+  void Free(void *dptr) const override                  { std::free(dptr); }
+};
+
+#if MXNET_USE_CUDA
+/*!
+ * \brief Class, which contains the GPU specific methods used by PooledStorageManager.
+ */
+class ContextHelperGPU : public ContextHelper {
+ public:
+  std::tuple<size_t, size_t> getMemoryInfo() const override {
+    size_t free, total;
+    const auto cuda_status = cudaMemGetInfo(&free, &total);
+    if (cudaSuccess != cuda_status)
+      LOG(FATAL) << "Error: cudaMemGetInfo fails " << cudaGetErrorString(cuda_status);
+    return std::make_tuple(free, total);
+  }
+
+  bool contextGPU() const override                      { return true; }
+  int Malloc(void **ppPntr, size_t size) const override { return cudaMalloc(ppPntr, size); }
+  void Free(void *dptr) const override                  { CUDA_CALL(cudaFree(dptr)); }
+
+  const CudaDeviceStore *SetCurrentDevice(const Context &ctx) const override {
+    return new CudaDeviceStore(ctx.real_dev_id(), true);
+  }
+};
+
+/*!
+ * \brief Class, which contains the CPU_Pinned specific methods used by PooledStorageManager.
+ * When MxNet is compiled for MXNET_USE_CUDA=0, this class coincides with ContextHelperCPU
+ */
+class ContextHelperPinned : public ContextHelperGPU {
+ public:
+  int Malloc(void **ppPntr, size_t size) const override {
+    // make the memory available across all devices
+    return cudaHostAlloc(ppPntr, size, cudaHostAllocPortable);
+  }
+  void Free(void *dptr) const override                  { CUDA_CALL(cudaFreeHost(dptr)); }
+};
+
+#else
+typedef  ContextHelperCPU ContextHelperPinned;
+#endif
+
+}  // namespace storage
+}  // namespace mxnet
+
+#endif  // MXNET_STORAGE_STORAGE_MANAGER_HELPERS_H_
diff --git a/tests/cpp/engine/thread_local_test.cc b/tests/cpp/engine/thread_local_test.cc
index f842b1d52018..6801b377ef83 100644
--- a/tests/cpp/engine/thread_local_test.cc
+++ b/tests/cpp/engine/thread_local_test.cc
@@ -23,7 +23,6 @@
  * \brief Tests thread safety and lifetime of thread local store
 */
 #include <gtest/gtest.h>
-#include <time.h>
 #include <dmlc/logging.h>
 #include <dmlc/thread_group.h>
 #include <dmlc/omp.h>
@@ -31,6 +30,7 @@
 #include <mxnet/engine.h>
 #include <mxnet/ndarray.h>
 #include <dmlc/timer.h>
+#include <ctime>
 #include <cstdio>
 #include <thread>
 #include <chrono>
diff --git a/tests/cpp/engine/threaded_engine_test.cc b/tests/cpp/engine/threaded_engine_test.cc
index e1e3a53e656c..11ca2c94c1c0 100644
--- a/tests/cpp/engine/threaded_engine_test.cc
+++ b/tests/cpp/engine/threaded_engine_test.cc
@@ -22,7 +22,6 @@
  * \file threaded_engine_test.cc
  * \brief threaded engine tests
 */
-#include <time.h>
 #include <dmlc/logging.h>
 #include <dmlc/thread_group.h>
 #include <dmlc/omp.h>
@@ -31,6 +30,7 @@
 #include <mxnet/engine.h>
 #include <mxnet/ndarray.h>
 #include <dmlc/timer.h>
+#include <ctime>
 #include <cstdio>
 #include <thread>
 #include <chrono>
@@ -107,7 +107,7 @@ double EvaluateWorkloads(const std::vector<Workload>& workloads,
 
   for (const auto& wl : workloads) {
     if (wl.reads.size() == 0) continue;
-    if (engine == NULL) {
+    if (engine == nullptr) {
       EvaluateWorkload(wl, data);
     } else {
       auto func = [wl, data](RunContext ctx, Engine::CallbackOnComplete cb) {
@@ -152,13 +152,13 @@ TEST(Engine, RandSumExpr) {
   std::vector<double> t(num_engine, 0.0);
   std::vector<mxnet::Engine*> engine(num_engine);
 
-  engine[0] = NULL;
+  engine[0] = nullptr;
   engine[1] = mxnet::engine::CreateNaiveEngine();
   engine[2] = mxnet::engine::CreateThreadedEnginePooled();
   engine[3] = mxnet::engine::CreateThreadedEnginePerDevice();
 
   for (int repeat = 0; repeat < num_repeat; ++repeat) {
-    srand(time(NULL) + repeat);
+    srand(time(nullptr) + repeat);
     int num_var = 100;
     GenerateWorkload(10000, num_var, 2, 20, 1, 10, &workloads);
     std::vector<std::vector<double>> data(num_engine);
diff --git a/tests/cpp/operator/batchnorm_test.cc b/tests/cpp/operator/batchnorm_test.cc
index 22bcb70387a8..dab8c98a7da8 100644
--- a/tests/cpp/operator/batchnorm_test.cc
+++ b/tests/cpp/operator/batchnorm_test.cc
@@ -277,7 +277,7 @@ class BatchNormValidator : public test::op::Validator<DType, AccReal> {
   typedef test::op::Validator<DType, AccReal> Super;
 
   /*! \brief Only static functions in this class */
-  BatchNormValidator() = delete;
+  BatchNormValidator() = delete;  // NOLINT
 
   /*! \brief Check batch norm output - 1D */
   static void checkBatchNorm1D(const TBlob *blob) {
@@ -566,10 +566,9 @@ static const test::op::kwargs_t nfs_ugs_kwargs_nocudnn = {
 
 #if !DISABLE_VALIDATION
 static bool isUGS(const test::op::kwargs_t& kwargs) {
-  for (test::op::kwargs_t::const_iterator i = kwargs.begin(),
-         e = kwargs.end(); i != e; ++i) {
-    if (!i->first.compare("use_global_stats")) {
-      return i->second.compare("True") == 0;
+  for (const auto & kwarg : kwargs) {
+    if (!kwarg.first.compare("use_global_stats")) {
+      return kwarg.second.compare("True") == 0;
     }
   }
   return false;
@@ -725,8 +724,8 @@ static test::op::OpInfoPair<OperatorProp1, OperatorProp2, OperatorExecutor> test
 
   size_t thisCount = 0;
 
-  typedef typename OperatorExecutor::DataType DType;
-  typedef typename OperatorExecutor::AccRealType AccReal;
+  using DType = typename OperatorExecutor::DataType;
+  using AccReal = typename OperatorExecutor::AccRealType;
 
   do {
     const bool isLast = thisCount == cycleCount - 1;
@@ -1288,8 +1287,8 @@ static void testSaveAndLoad(const std::vector<size_t>& dims,
 TEST(BATCH_NORM, TestChannelAxisSaveAndLoad) {
   std::cout << std::endl << std::flush;
 
-  typedef float DType;
-  typedef float AccReal;
+  using DType = float;
+  using AccReal = float;
 
   const std::vector<std::vector<DType>> myData =
     { { 1.0f, 1.0f, 1.0f, 1.0f },
@@ -1346,8 +1345,8 @@ static void runChannelAxisTest(
   const size_t numberOfPasses = 5
 
 ) {
-  typedef float DType;
-  typedef float AccReal;
+  using DType = float;
+  using AccReal = float;
 
   size_t spatialSize = 1;
   for (size_t x = 1, n = shape.size(); x < n; ++x) {
diff --git a/tests/cpp/operator/runner/core_op_runner_test.cc b/tests/cpp/operator/runner/core_op_runner_test.cc
index 96458cd1c713..6e6cb91096fe 100644
--- a/tests/cpp/operator/runner/core_op_runner_test.cc
+++ b/tests/cpp/operator/runner/core_op_runner_test.cc
@@ -148,7 +148,7 @@ TEST(CORE_OP_RUNNER, ExecuteBidirectionalRunnerSimpleUnary) {
 }
 
 TEST(CORE_OP_RUNNER, ExecuteBidirectionalRunner) {
-  typedef float DType;
+  using DType = float;
   mxnet::TShape shape({5, 5});
   for (const std::pair<std::string, std::string>& i : test_binary_operators) {
     const char *op_name = i.first.c_str();
@@ -163,7 +163,7 @@ TEST(CORE_OP_RUNNER, ExecuteBidirectionalRunner) {
  * \brief Test RunBidirectional dot product, which has different shaped inputs and outputs
  */
 TEST(CORE_OP_RUNNER, ExecuteBidirectionalRunnerDotProduct) {
-  typedef float DType;
+  using DType = float;
   const char *op_name = "dot";
   const char *backward_op_name = "_backward_dot";
   test::op::CoreOperatorRunner<DType> runner;
@@ -179,7 +179,7 @@ TEST(CORE_OP_RUNNER, ExecuteBidirectionalRunnerDotProduct) {
  * \brief Timing tests for CPU
  */
 TEST(CORE_OP_RUNNER, TimingCPUSimpleUnary) {
-  typedef float DType;
+  using DType = float;
 
   const char *op_name = "relu";
 
@@ -210,7 +210,7 @@ TEST(CORE_OP_RUNNER, TimingCPUSimpleUnary) {
 }
 
 TEST(CORE_OP_RUNNER, TimingCPUBinary) {
-  typedef float DType;
+  using DType = float;
 
   const char *op_name = "elemwise_add";
   const char *backward_op_name = "_backward_add";
@@ -246,7 +246,7 @@ TEST(CORE_OP_RUNNER, TimingCPUBinary) {
  * \brief Performance run dot product, which has different shaped inputs and outputs
  */
 TEST(CORE_OP_RUNNER, TimingCPUBinaryDotProduct) {
-  typedef float DType;
+  using DType = float;
 
   const char *op_name = "dot";
   const char *backward_op_name = "_backward_dot";
diff --git a/tests/cpp/storage/storage_test.cc b/tests/cpp/storage/storage_test.cc
index 3934c091faef..d9e7d8bc0294 100644
--- a/tests/cpp/storage/storage_test.cc
+++ b/tests/cpp/storage/storage_test.cc
@@ -21,11 +21,11 @@
  * \file storage_test.cc
  * \brief cpu/gpu storage tests
 */
-#include <stdlib.h>
 #include <gtest/gtest.h>
 #include <dmlc/logging.h>
 #include <mxnet/storage.h>
 #include <cstdio>
+#include <cstdlib>
 #include "test_util.h"
 
 TEST(Storage, Basic_CPU) {
diff --git a/tests/cpp/unittest.mk b/tests/cpp/unittest.mk
deleted file mode 100644
index 704ee41fdc4c..000000000000
--- a/tests/cpp/unittest.mk
+++ /dev/null
@@ -1,81 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-TEST_SRC = $(shell find tests/cpp/ -name "*.cc")
-TEST_OBJ = $(patsubst %.cc, build/%.o, $(TEST_SRC))
-TEST = build/tests/cpp/mxnet_unit_tests
-
-GTEST_DIR=3rdparty/googletest/googletest/
-GTEST_INC=3rdparty/googletest/googletest/include/
-GTEST_SRCS_ = $(GTEST_DIR)/src/*.cc $(GTEST_DIR)/src/*.h $(GTEST_HEADERS)
-GTEST_HEADERS = $(GTEST_DIR)/include/gtest/*.h \
-                $(GTEST_DIR)/include/gtest/internal/*.h
-
-TEST_CFLAGS = -Itests/cpp/include -Isrc $(CFLAGS)
-TEST_LDFLAGS = $(LDFLAGS) -Llib -lmxnet
-
-ifeq ($(USE_BREAKPAD), 1)
-TEST_CFLAGS  += -I/usr/local/include/breakpad
-TEST_LDFLAGS += -lbreakpad_client -lbreakpad
-endif
-
-TEST_LIB_DEP = gtest.a
-ifeq ($(USE_MKLDNN), 1)
-	TEST_LIB_DEP += $(MKLDNNROOT)/lib/libdnnl.a
-endif
-
-.PHONY: runtest testclean
-
-gtest-all.o : $(GTEST_SRCS_)
-	$(CXX) -std=c++17 $(CPPFLAGS) -I$(GTEST_INC) -I$(GTEST_DIR) $(CXXFLAGS) -c $(GTEST_DIR)/src/gtest-all.cc
-
-gtest.a : gtest-all.o
-	$(AR) $(ARFLAGS) $@ $^
-
-build/tests/cpp/%.o : tests/cpp/%.cc | mkldnn
-	@mkdir -p $(@D)
-	$(CXX) -std=c++17 $(TEST_CFLAGS) -I$(GTEST_INC) -MM -MT tests/cpp/$* $< > build/tests/cpp/$*.d
-	$(CXX) -c -std=c++17 $(TEST_CFLAGS) -I$(GTEST_INC) -o build/tests/cpp/$*.o $(filter %.cc %.a, $^)
-
-build/tests/cpp/operator/%.o : tests/cpp/operator/%.cc | mkldnn
-	@mkdir -p $(@D)
-	$(CXX) -std=c++17 $(TEST_CFLAGS) -I$(GTEST_INC) -MM -MT tests/cpp/operator/$* $< > build/tests/cpp/operator/$*.d
-	$(CXX) -c -std=c++17 $(TEST_CFLAGS) -I$(GTEST_INC) -o build/tests/cpp/operator/$*.o $(filter %.cc %.a, $^)
-
-build/tests/cpp/storage/%.o : tests/cpp/storage/%.cc | mkldnn
-	@mkdir -p $(@D)
-	$(CXX) -std=c++17 $(TEST_CFLAGS) -I$(GTEST_INC) -MM -MT tests/cpp/storage/$* $< > build/tests/cpp/storage/$*.d
-	$(CXX) -c -std=c++17 $(TEST_CFLAGS) -I$(GTEST_INC) -o build/tests/cpp/storage/$*.o $(filter %.cc %.a, $^)
-
-build/tests/cpp/engine/%.o : tests/cpp/engine/%.cc | mkldnn
-	@mkdir -p $(@D)
-	$(CXX) -std=c++17 $(TEST_CFLAGS) -I$(GTEST_INC) -MM -MT tests/cpp/engine/$* $< > build/tests/cpp/engine/$*.d
-	$(CXX) -c -std=c++17 $(TEST_CFLAGS) -I$(GTEST_INC) -o build/tests/cpp/engine/$*.o $(filter %.cc %.a, $^)
-
-$(TEST): $(TEST_OBJ) lib/libmxnet.so $(TEST_LIB_DEP)
-	$(CXX) -std=c++17 $(TEST_CFLAGS) -I$(GTEST_INC) -o $@ $^ $(TEST_LDFLAGS)
-
-runtest: $(TEST)
-	LD_LIBRARY_PATH=$(shell pwd)/lib:$(LD_LIBRARY_PATH) $(TEST)
-
-testclean:
-	rm -f $(TEST) $(TEST_OBJ)
-
--include build/tests/cpp/*.d
--include build/tests/cpp/operator/*.d
--include build/tests/cpp/storage/*.d
--include build/tests/cpp/engine/*.d
diff --git a/tests/jenkins/run_test.sh b/tests/jenkins/run_test.sh
deleted file mode 100755
index 59516d46bcd0..000000000000
--- a/tests/jenkins/run_test.sh
+++ /dev/null
@@ -1,56 +0,0 @@
-#!/bin/bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-
-# Exit script with error if any errors occur
-
-echo "BUILD make"
-cp make/config.mk .
-echo "USE_CUDA=1" >> config.mk
-echo "USE_CUDA_PATH=/usr/local/cuda" >> config.mk
-echo "USE_CUDNN=1" >> config.mk
-echo "DEV=1" >> config.mk
-echo "EXTRA_OPERATORS=example/ssd/operator" >> config.mk
-echo "USE_CPP_PACKAGE=1" >> config.mk
-
-set -e
-
-make -j$(nproc) || exit -1
-
-echo "BUILD cpp_test"
-make -j$(nproc) test || exit -1
-export MXNET_ENGINE_INFO=true
-./build/tests/cpp/mxnet_test
-
-export MXNET_ENGINE_INFO=false
-export PYTHONPATH=$(pwd)/python
-
-echo "BUILD python_test"
-pytest --verbose tests/python/unittest || exit -1
-pytest --verbose tests/python/gpu/test_operator_gpu.py || exit -1
-pytest --verbose tests/python/train || exit -1
-
-echo "BUILD scala_test"
-export PATH=$PATH:/opt/apache-maven/bin
-cd scala-package
-mvn install || exit -1
-
-# echo "BUILD julia_test"
-# export MXNET_HOME="${PWD}"
-# /home/ubuntu/julia/bin/julia -e 'try Pkg.clone("MXNet"); catch end; Pkg.checkout("MXNet"); Pkg.build("MXNet"); Pkg.test("MXNet")' || exit -1
diff --git a/tests/jenkins/run_test_amzn_linux_gpu.sh b/tests/jenkins/run_test_amzn_linux_gpu.sh
deleted file mode 100755
index a257b9684ba0..000000000000
--- a/tests/jenkins/run_test_amzn_linux_gpu.sh
+++ /dev/null
@@ -1,65 +0,0 @@
-#!/bin/bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-
-# Exit script with error if any errors occur
-
-echo "BUILD make"
-cp make/config.mk .
-echo "USE_CUDA=0" >> config.mk
-echo "USE_CUDNN=0" >> config.mk
-echo "USE_BLAS=openblas" >> config.mk
-echo "USE_CPP_PACKAGE=1" >> config.mk
-echo "ADD_CFLAGS += -I/usr/include/openblas" >>config.mk
-echo "GTEST_PATH=/usr/local/gtest" >> config.mk
-echo 'export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig:$PKG_CONFIG_PATH' >> ~/.profile
-echo 'export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH' >> ~/.profile
-JAVA_HOME=`/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.*.amzn1.x86_64[-1]`
-echo 'export JAVA_HOME=${JAVA_HOME}' >> ~/.profile
-echo 'export JRE_HOME=${JAVA_HOME}/jre' >> ~/.profile
-echo 'export PATH=$PATH:/apache-maven-3.3.9/bin/:/usr/bin:${JAVA_HOME}/bin' >> ~/.profile
-source ~/.profile
-user=`id -u -n`
-
-set -e
-
-make -j 4
-
-echo "BUILD cpp_test"
-make -j 4 test
-export MXNET_ENGINE_INFO=true
-./build/tests/cpp/mxnet_test
-
-echo "BUILD valgrind_test"
-valgrind ./build/tests/cpp/mxnet_test
-
-export MXNET_ENGINE_INFO=false
-export PYTHONPATH=${PWD}/python
-
-echo "BUILD python_test"
-pytest --verbose tests/python/unittest
-pytest --verbose tests/python/train
-
-#echo "BUILD julia_test"
-#export MXNET_HOME="${PWD}"
-#julia -e 'try Pkg.clone("MXNet"); catch end; Pkg.checkout("MXNet"); Pkg.build("MXNet"); Pkg.test("MXNet")' || exit -1
-
-echo "BUILD scala_test"
-cd scala-package
-mvn integration-test
diff --git a/tests/jenkins/run_test_ubuntu.sh b/tests/jenkins/run_test_ubuntu.sh
deleted file mode 100755
index 835bce9aeef7..000000000000
--- a/tests/jenkins/run_test_ubuntu.sh
+++ /dev/null
@@ -1,65 +0,0 @@
-#!/bin/bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-
-set -e
-
-echo "BUILD make"
-
-WITH_CAFFE_PLUGIN=0
-
-if [ "$WITH_CAFFE_PLUGIN" == "1" ]; then
-# Check out caffe
-  git clone https://github.com/BVLC/caffe
-  mkdir -p caffe/build
-  cd caffe/build
-  cmake ..
-  make -j$(nproc)
-  cd ../..
-fi
-
-cp make/config.mk .
-echo "USE_CUDA=1" >> config.mk
-echo "USE_CUDA_PATH=/usr/local/cuda" >> config.mk
-echo "USE_CUDNN=1" >> config.mk
-echo "DEV=1" >> config.mk
-echo "EXTRA_OPERATORS=example/ssd/operator" >> config.mk
-echo "USE_CPP_PACKAGE=1" >> config.mk
-
-if [ "$WITH_CAFFE_PLUGIN" == "1" ]; then
-    echo "CAFFE_PATH = $(pwd)/caffe" >> config.mk
-    echo "MXNET_PLUGINS += plugin/caffe/caffe.mk" >> config.mk
-fi
-
-user=`id -u -n`
-
-make -j$(nproc)
-
-export PYTHONPATH=${PWD}/python
-
-echo "BUILD python_test"
-pytest --verbose tests/python/unittest || exit 1
-pytest --verbose tests/python/gpu/test_operator_gpu.py || exit 1
-pytest --verbose tests/python/train || exit 1
-
-echo "BUILD scala_test"
-export PATH=$PATH:/opt/apache-maven/bin
-cd scala-package
-mvn integration-test || exit 1
-
diff --git a/tests/nightly/apache_rat_license_check/README.md b/tests/nightly/apache_rat_license_check/README.md
index 70ec665fa57f..388aaca3922d 100644
--- a/tests/nightly/apache_rat_license_check/README.md
+++ b/tests/nightly/apache_rat_license_check/README.md
@@ -31,7 +31,7 @@ The following commands can be used to run a Apache RAT check locally -
 
 Docker based 1-click-method:
 ```
-ci/build.py -p ubuntu_rat nightly_test_rat_check
+ci/build.py -p ubuntu_cpu test_rat_check
 ```
 
 Manual method:
diff --git a/tests/nightly/test_np_large_array.py b/tests/nightly/test_np_large_array.py
new file mode 100644
index 000000000000..072e80b3a34e
--- /dev/null
+++ b/tests/nightly/test_np_large_array.py
@@ -0,0 +1,78 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+import os
+import sys
+import tempfile
+import math
+import numpy as _np
+import mxnet as mx
+
+curr_path = os.path.dirname(os.path.abspath(os.path.expanduser(__file__)))
+sys.path.append(os.path.join(curr_path, '../python/unittest/'))
+
+from mxnet.test_utils import rand_ndarray, assert_almost_equal, rand_coord_2d, default_context, check_symbolic_forward, create_2d_tensor, use_np
+from mxnet import gluon, np, npx
+from common import with_seed
+import pytest
+
+
+# dimension constants
+MEDIUM_X = 10000
+LARGE_X = 100000000
+SMALL_X = 100
+SMALL_Y = 50
+
+
+@use_np
+def test_gluon_embedding():
+    m = gluon.nn.Embedding(SMALL_Y, MEDIUM_X)
+    m.initialize()
+    a = np.zeros((MEDIUM_X, SMALL_Y))
+    b = m(a)
+    assert b.shape == (MEDIUM_X, SMALL_Y, MEDIUM_X)
+    assert b.asnumpy().size == MEDIUM_X * SMALL_Y * MEDIUM_X
+
+@use_np
+def test_fully_connected():
+    a = np.ones(shape=(LARGE_X, SMALL_Y))
+    b = np.ones(shape=(SMALL_Y, SMALL_Y))
+    c = np.ones(shape=(b.shape[0],))
+
+    # w/o bias
+    res = mx.npx.fully_connected(a, b, num_hidden=b.shape[0], no_bias=True)
+    assert np.sum(res[-1] == a.shape[1]) == b.shape[0]
+
+    # w/ bias
+    res = mx.npx.fully_connected(a, b, c, num_hidden=b.shape[0], no_bias=False)
+    assert np.sum(res[-1] == a.shape[1] + 1) == b.shape[0]
+
+@use_np
+def test_dense():
+    data = np.ones(shape=(LARGE_X, SMALL_X))
+    linear = gluon.nn.Dense(SMALL_Y)
+    linear.initialize()
+    res = linear(data)
+    assert res.shape == (LARGE_X, SMALL_Y)
+
+@use_np
+def test_softmax():
+    input_data = np.ones((SMALL_Y, LARGE_X))
+    for axis in [0, 1]:
+        true_output = np.full((SMALL_Y, LARGE_X), (1 / input_data.shape[axis]))
+        output = npx.softmax(input_data, axis=axis)
+        assert_almost_equal(output.asnumpy(), true_output, rtol=1e-5, atol=1e-5)
diff --git a/tests/python/gpu/test_device.py b/tests/python/gpu/test_device.py
index 52e09c029b49..76a32def33f5 100644
--- a/tests/python/gpu/test_device.py
+++ b/tests/python/gpu/test_device.py
@@ -20,8 +20,7 @@
 import pytest
 import os
 import logging
-
-from mxnet.test_utils import EnvManager
+from mxnet.test_utils import environment
 
 shapes = [(10), (100), (1000), (10000), (100000), (2,2), (2,3,4,5,6,7,8)]
 keys = [1,2,3,4,5,6,7]
@@ -51,16 +50,15 @@ def check_dense_pushpull(kv_type):
                 for x in range(n_gpus):
                     assert(np.sum(np.abs((res[x]-n_gpus).asnumpy()))==0)
 
-    kvstore_tree_array_bound = 'MXNET_KVSTORE_TREE_ARRAY_BOUND'
-    kvstore_usetree_values = ['','1']
-    kvstore_usetree  = 'MXNET_KVSTORE_USETREE'
-    for _ in range(2):
+    kvstore_tree_array_bound_values = [None, '1']
+    kvstore_usetree_values = [None, '1']
+    for y in kvstore_tree_array_bound_values:
         for x in kvstore_usetree_values:
-            with EnvManager(kvstore_usetree, x):
+            with environment({'MXNET_KVSTORE_USETREE': x,
+                              'MXNET_KVSTORE_TREE_ARRAY_BOUND': y}):
                 check_dense_pushpull('local')
                 check_dense_pushpull('device')
-        os.environ[kvstore_tree_array_bound] = '1'
-    del os.environ[kvstore_tree_array_bound]
+
 
 if __name__ == '__main__':
     test_device_pushpull()
diff --git a/tests/python/gpu/test_fusion.py b/tests/python/gpu/test_fusion.py
index 8d3ce47c18e8..1f261adcebac 100644
--- a/tests/python/gpu/test_fusion.py
+++ b/tests/python/gpu/test_fusion.py
@@ -15,8 +15,10 @@
 # specific language governing permissions and limitations
 # under the License.
 
+import sys
 import os
 import random
+import itertools
 import mxnet as mx
 import numpy as np
 from mxnet import autograd, gluon
@@ -24,7 +26,7 @@
 
 curr_path = os.path.dirname(os.path.abspath(os.path.expanduser(__file__)))
 sys.path.insert(0, os.path.join(curr_path, '../unittest'))
-from common import with_seed
+from common import setup_module, teardown_module, with_seed
 
 def check_fused_symbol(sym, **kwargs):
     inputs = sym.list_inputs()
@@ -44,10 +46,10 @@ def check_fused_symbol(sym, **kwargs):
         data = {inp : kwargs[inp].astype(dtype) for inp in inputs}
         for grad_req in ['write', 'add']:
             type_dict = {inp : dtype for inp in inputs}
-            os.environ["MXNET_USE_FUSION"] = "0"
-            orig_exec = test_sym._simple_bind(ctx=ctx, grad_req=grad_req, type_dict=type_dict, **shapes)
-            os.environ["MXNET_USE_FUSION"] = "1"
-            fused_exec = test_sym._simple_bind(ctx=ctx, grad_req=grad_req, type_dict=type_dict, **shapes)
+            with environment('MXNET_USE_FUSION', '0'):
+                orig_exec = test_sym._simple_bind(ctx=ctx, grad_req=grad_req, type_dict=type_dict, **shapes)
+            with environment('MXNET_USE_FUSION', '1'):
+                fused_exec = test_sym._simple_bind(ctx=ctx, grad_req=grad_req, type_dict=type_dict, **shapes)
             fwd_orig = orig_exec.forward(is_train=True, **data)
             out_grads = [mx.nd.ones_like(arr) for arr in fwd_orig]
             orig_exec.backward(out_grads=out_grads)
@@ -231,6 +233,7 @@ def check_other_ops():
     arr2 = mx.random.uniform(shape=(2,2,2,3))
     check_fused_symbol(mx.sym.broadcast_like(a, b, lhs_axes=[0], rhs_axes=[0]), a=arr1, b=arr2)
 
+
 def check_leakyrelu_ops():
     a = mx.sym.Variable('a')
     b = mx.sym.Variable('b')
@@ -331,18 +334,18 @@ def hybrid_forward(self, F, x, y, z):
 
         arrays = {}
         for use_fusion in ('0', '1'):
-            os.environ['MXNET_USE_FUSION'] = use_fusion
-            arrays[use_fusion] = {}
-            n = Block()
-            n.hybridize(static_alloc=static_alloc)
-            args = [arg.copyto(mx.gpu()) for arg in arg_data]
-            for arg in args:
-                arg.attach_grad()
-            with autograd.record():
-                r = n(*args)
-            arrays[use_fusion]['result'] = r
-            r.backward()
-            for i, arg in enumerate(args):
-                arrays[use_fusion][i] = arg.grad
+            with environment('MXNET_USE_FUSION', use_fusion):
+                arrays[use_fusion] = {}
+                n = Block()
+                n.hybridize(static_alloc=static_alloc)
+                args = [arg.copyto(mx.gpu()) for arg in arg_data]
+                for arg in args:
+                    arg.attach_grad()
+                with autograd.record():
+                    r = n(*args)
+                arrays[use_fusion]['result'] = r
+                r.backward()
+                for i, arg in enumerate(args):
+                    arrays[use_fusion][i] = arg.grad
         for key in ['result'] + list(range(len(arg_data))):
             assert_allclose(arrays['0'][key].asnumpy(), arrays['1'][key].asnumpy())
diff --git a/tests/python/gpu/test_gluon_gpu.py b/tests/python/gpu/test_gluon_gpu.py
index 27d5f5e0ec3d..27325dbcf3c1 100644
--- a/tests/python/gpu/test_gluon_gpu.py
+++ b/tests/python/gpu/test_gluon_gpu.py
@@ -21,7 +21,7 @@
 import time
 import mxnet as mx
 import multiprocessing as mp
-from mxnet.test_utils import check_consistency, set_default_context, assert_almost_equal, rand_ndarray
+from mxnet.test_utils import check_consistency, set_default_context, assert_almost_equal, rand_ndarray, environment
 import mxnet.ndarray as nd
 import numpy as np
 import math
@@ -33,6 +33,7 @@
 from common import setup_module, with_seed, teardown_module, assert_raises_cudnn_not_satisfied, run_in_spawned_process
 from test_gluon import *
 from test_loss import *
+from test_numpy_loss import *
 from test_gluon_rnn import *
 
 set_default_context(mx.gpu(0))
@@ -50,10 +51,9 @@ def check_rnn_layer(layer):
         states = layer.begin_state(16)
         co, cs = layer(x, states)
 
-    # atol of 1e-6 required, as exposed by seed 2124685726
-    assert_almost_equal(go, co, rtol=1e-2, atol=1e-6)
+    assert_almost_equal(go, co)
     for g, c in zip(gs, cs):
-        assert_almost_equal(g, c, rtol=1e-2, atol=1e-6)
+        assert_almost_equal(g, c)
 
 
 @with_seed()
@@ -70,9 +70,9 @@ def check_rnn_layer_w_rand_inputs(layer):
         states = layer.begin_state(16)
         co, cs = layer(x, states)
 
-    assert_almost_equal(go, co, rtol=1e-2, atol=1e-6)
+    assert_almost_equal(go, co)
     for g, c in zip(gs, cs):
-        assert_almost_equal(g, c, rtol=1e-2, atol=1e-6)
+        assert_almost_equal(g, c)
 
 
 @with_seed()
@@ -443,20 +443,20 @@ def test_symbol_block_fp16(tmpdir):
     net_fp32.hybridize()
     data = mx.nd.zeros((1, 3, 224, 224), dtype='float16', ctx=ctx)
     net_fp32.forward(data)
-    net_fp32.export(tmpfile, 0)
+    symbol_file, param_file = net_fp32.export(tmpfile, 0)
 
     # 2. Load the saved model and verify if all the params are loaded correctly.
-    # and choose one of the param to verify the type if fp16.
-    sm = mx.sym.load(tmpfile + '-symbol.json')
+    # Choose one of the parameters to verify the type is fp16.
+    sm = mx.sym.load(symbol_file)
     inputs = mx.sym.var('data', dtype='float16')
     net_fp16 = mx.gluon.SymbolBlock(sm, inputs)
-    net_fp16.load_parameters(tmpfile + '-0000.params', ctx=ctx)
+    net_fp16.load_parameters(param_file, ctx=ctx)
     # 3. Get a conv layer's weight parameter name. Conv layer's weight param is
     # expected to be of dtype casted, fp16.
-    name = None    
-    for param_name, param in net_fp32.collect_params().items():
+    name = None
+    for param_name in net_fp32.collect_params().keys():
         if 'conv' in param_name and 'weight' in param_name:
-            name = param.name
+            name = param_name
             break
     assert np.dtype(net_fp16.params[name].dtype) == np.dtype(np.float16)
 
@@ -485,6 +485,13 @@ def tensor_size(big_tensor_bytes):
     # This in the past has given cudnnFind() trouble when it needed to allocate similar I/O's
     # from the area carved out by the MXNET_GPU_MEM_POOL_RESERVE setting (by default 5%).
     (free_mem_bytes, total_mem_bytes) = mx.context.gpu_memory_info(ctx.device_id)
+    # This test needs to be 'qualified' for use with each new larger memory size
+    largest_supported_total_mem_GB = 32
+    if (total_mem_bytes > largest_supported_total_mem_GB * 1024 * 1024 * 1024):
+        sys.stderr.write(
+        ' bypassing test due to too-large global memory of size {} ... '.format(total_mem_bytes))
+        return
+
     start_size = tensor_size(0.20 * total_mem_bytes)
     num_trials = 10
     sys.stderr.write(
@@ -552,9 +559,9 @@ def _test_bulking(test_bulking_func):
         time_per_iteration = mp.Manager().Value('d', 0.0)
 
         if not run_in_spawned_process(test_bulking_func,
-                                      {'MXNET_EXEC_BULK_EXEC_MAX_NODE_TRAIN_FWD': seg_sizes[0],
-                                       'MXNET_EXEC_BULK_EXEC_MAX_NODE_TRAIN_BWD': seg_sizes[1],
-                                       'MXNET_EXEC_BULK_EXEC_TRAIN': seg_sizes[2]},
+                                      {'MXNET_EXEC_BULK_EXEC_MAX_NODE_TRAIN_FWD': str(seg_sizes[0]),
+                                       'MXNET_EXEC_BULK_EXEC_MAX_NODE_TRAIN_BWD': str(seg_sizes[1]),
+                                       'MXNET_EXEC_BULK_EXEC_TRAIN': str(seg_sizes[2])},
                                       time_per_iteration):
             # skip test since the python version can't run it properly.  Warning msg was logged.
             return
@@ -628,13 +635,15 @@ def test_gemms_true_fp16():
     net.cast('float16')
     net.initialize(ctx=ctx)
     net.weight.set_data(weights)
-    ref_results = net(input)
 
-    os.environ["MXNET_FC_TRUE_FP16"] = "1"
-    results_trueFP16 = net(input)
+    with environment('MXNET_FC_TRUE_FP16', '0'):
+      ref_results = net(input)
+
+    with environment('MXNET_FC_TRUE_FP16', '1'):
+      results_trueFP16 = net(input)
+
     atol = 1e-2
     rtol = 1e-2
     assert_almost_equal(ref_results.asnumpy(), results_trueFP16.asnumpy(),
                         atol=atol, rtol=rtol)
-    os.environ["MXNET_FC_TRUE_FP16"] = "0"
 
diff --git a/tests/python/gpu/test_gluon_model_zoo_gpu.py b/tests/python/gpu/test_gluon_model_zoo_gpu.py
index 427297173bae..1d0d3f4b2313 100644
--- a/tests/python/gpu/test_gluon_model_zoo_gpu.py
+++ b/tests/python/gpu/test_gluon_model_zoo_gpu.py
@@ -89,7 +89,7 @@ def test_inference(model_name):
         max_val = np.max(np.abs(cpu_out.asnumpy()))
         gpu_max_val = np.max(np.abs(gpu_out.asnumpy()))
         eprint(model_name + ": CPU " + str(max_val) + ", GPU " + str(gpu_max_val))
-        assert_almost_equal(cpu_out / max_val, gpu_out / gpu_max_val, rtol=1e-3, atol=1e-3)
+        assert_almost_equal(cpu_out / max_val, gpu_out / gpu_max_val)
 
 def get_nn_model(name):
     if "densenet" in name:
diff --git a/tests/python/gpu/test_kvstore_gpu.py b/tests/python/gpu/test_kvstore_gpu.py
index 5167970bb8f8..d836e970181d 100644
--- a/tests/python/gpu/test_kvstore_gpu.py
+++ b/tests/python/gpu/test_kvstore_gpu.py
@@ -21,7 +21,7 @@
 import mxnet as mx
 import numpy as np
 import pytest
-from mxnet.test_utils import assert_almost_equal, default_context, EnvManager
+from mxnet.test_utils import assert_almost_equal, default_context, environment
 curr_path = os.path.dirname(os.path.abspath(os.path.expanduser(__file__)))
 sys.path.insert(0, os.path.join(curr_path, '../unittest'))
 from common import setup_module, with_seed, teardown_module
@@ -99,11 +99,11 @@ def check_rsp_pull(kv, ctxs, sparse_pull, is_same_rowid=False, use_slice=False):
         check_rsp_pull(kv, [mx.gpu(i//2) for i in range(4)], sparse_pull, use_slice=True)
         check_rsp_pull(kv, [mx.cpu(i) for i in range(4)], sparse_pull, use_slice=True)
 
-    envs = ["","1"]
-    key  = "MXNET_KVSTORE_USETREE"
+    envs = [None, '1']
+    key  = 'MXNET_KVSTORE_USETREE'
     for val in envs:
-        with EnvManager(key, val):
-            if val is "1":
+        with environment(key, val):
+            if val is '1':
                 sparse_pull = False
             else:
                 sparse_pull = True
diff --git a/tests/python/gpu/test_operator_gpu.py b/tests/python/gpu/test_operator_gpu.py
index 9b969607666d..84cfe9cfa35d 100644
--- a/tests/python/gpu/test_operator_gpu.py
+++ b/tests/python/gpu/test_operator_gpu.py
@@ -23,9 +23,10 @@
 import mxnet as mx
 import numpy as np
 import pytest
+import itertools
 from mxnet.test_utils import check_consistency, set_default_context, assert_almost_equal, assert_allclose
 from mxnet.test_utils import check_symbolic_forward, check_symbolic_backward, discard_stderr
-from mxnet.test_utils import default_context, rand_shape_2d, rand_ndarray, same
+from mxnet.test_utils import default_context, rand_shape_2d, rand_ndarray, same, environment
 from mxnet.base import MXNetError
 from mxnet import autograd
 
@@ -404,30 +405,20 @@ def test_batchnorm_with_type():
   ]
 
   # V2, 2D
-  sym = mx.sym.BatchNorm(name='norm', fix_gamma=False, cudnn_off=True)
-  check_consistency(sym, ctx_list_v2_2D)
-  sym = mx.sym.BatchNorm(name='norm', fix_gamma=False, cudnn_off=True)
-  check_consistency(sym, ctx_list_v2_2D)
-  sym = mx.sym.BatchNorm(name='norm', fix_gamma=True, cudnn_off=True)
-  check_consistency(sym, ctx_list_v2_2D)
-  sym = mx.sym.BatchNorm(name='norm', fix_gamma=True, cudnn_off=True)
-  check_consistency(sym, ctx_list_v2_2D)
+  bools = [False, True]
+  for fix_gamma, cudnn_off in itertools.product(bools, bools):
+      sym = mx.sym.BatchNorm(name='norm', fix_gamma=fix_gamma, cudnn_off=cudnn_off)
+      check_consistency(sym, ctx_list_v2_2D)
 
   # V2, 1D
-  sym = mx.sym.BatchNorm(name='norm', fix_gamma=False, cudnn_off=True)
-  check_consistency(sym, ctx_list_v2_1D)
-  sym = mx.sym.BatchNorm(name='norm', fix_gamma=False, cudnn_off=True)
-  check_consistency(sym, ctx_list_v2_1D)
-  sym = mx.sym.BatchNorm(name='norm', fix_gamma=True, cudnn_off=True)
-  check_consistency(sym, ctx_list_v2_1D)
-  sym = mx.sym.BatchNorm(name='norm', fix_gamma=True, cudnn_off=True)
-  check_consistency(sym, ctx_list_v2_1D)
-  #
-  # # V2, 3D
-  sym = mx.sym.BatchNorm(name='norm', fix_gamma=False, cudnn_off=True)
-  check_consistency(sym, ctx_list_v2_3D)
-  sym = mx.sym.BatchNorm(name='norm', fix_gamma=True, cudnn_off=True)
-  check_consistency(sym, ctx_list_v2_3D)
+  for fix_gamma, cudnn_off in itertools.product(bools, bools):
+      sym = mx.sym.BatchNorm(name='norm', fix_gamma=fix_gamma, cudnn_off=cudnn_off)
+      check_consistency(sym, ctx_list_v2_1D)
+
+  # V2, 3D
+  for fix_gamma, cudnn_off in itertools.product(bools, [True,]):
+      sym = mx.sym.BatchNorm(name='norm', fix_gamma=fix_gamma, cudnn_off=cudnn_off)
+      check_consistency(sym, ctx_list_v2_3D)
 
 
 @with_seed()
@@ -529,9 +520,9 @@ def test_convolution_with_type():
                np.dtype(np.float64): 1e-5,
                np.dtype(np.uint8): 0,
                np.dtype(np.int32): 0}
-    check_consistency(sym, ctx_list, tol=tol)
+    check_consistency(sym, ctx_list, rtol=tol, atol=tol)
     # test ability to turn off training on bias
-    check_consistency(sym, ctx_list, grad_req={'conv_data': 'write', 'conv_weight': 'write', 'conv_bias': 'null'}, tol=tol)
+    check_consistency(sym, ctx_list, grad_req={'conv_data': 'write', 'conv_weight': 'write', 'conv_bias': 'null'}, rtol=tol, atol=tol)
 
 
 # Apply N symbols against each of M contexts, checking that all NxM combinations match.
@@ -616,7 +607,6 @@ def test_conv_deconv_guards():
     # Test cases for convolution and deconvolution via strided fft.  Ensure that the framework
     # guards against problematic CUDNN_CONVOLUTION_BWD_DATA_ALGO_FFT_TILING in cuDNN [7.3.1,7.5)
     # see https://docs.nvidia.com/deeplearning/sdk/cudnn-release-notes/rel_750.html#rel_750
-    tol = 1e-1
     for (op, opname) in [(mx.sym.Convolution, 'conv'), (mx.sym.Deconvolution, 'deconv')]:
         dataname = opname + '_data'
         ctx = {'ctx': mx.gpu(0), dataname: (32, 32, 64, 64), 'type_dict': {dataname: np.float32}}
@@ -631,7 +621,7 @@ def test_conv_deconv_guards():
             try:
                 sym = op(**test_case_args)
                 sym_no_cudnn = op(cudnn_off=True, **test_case_args)
-                check_consistency([sym, sym_no_cudnn], [ctx, ctx], tol=tol)
+                check_consistency([sym, sym_no_cudnn], [ctx, ctx], scale=0.1)
             except:
                 print('Test failure of mx.sym.{} with args: {}'.format(op.__name__, test_case_args))
                 raise
@@ -655,7 +645,7 @@ def _conv_with_num_streams(seed):
                                               cudnn_off=True, name='conv')
             try:
                 # tol can be pretty high- we're looking for a large diff due to garbaged workspace
-                check_consistency([sym, sym_no_cudnn], [ctx, ctx], tol=1e-2)
+                check_consistency([sym, sym_no_cudnn], [ctx, ctx], rtol=1e-2, atol=1e-2)
             except:
                 print('Failing conv size = {}'.format(size))
                 raise
@@ -664,12 +654,12 @@ def _conv_with_num_streams(seed):
 @pytest.mark.skip(reason="skipping for now due to severe flakiness")
 @with_seed()
 def test_convolution_multiple_streams():
-    for num_streams in [1, 2]:
+    for num_streams in ['1', '2']:
         for engine in ['NaiveEngine', 'ThreadedEngine', 'ThreadedEnginePerDevice']:
-            print("Starting engine %s with %d streams." % (engine, num_streams), file=sys.stderr)
+            print('Starting engine {} with {} streams.'.format(engine, num_streams), file=sys.stderr)
             run_in_spawned_process(_conv_with_num_streams,
                 {'MXNET_GPU_WORKER_NSTREAMS' : num_streams, 'MXNET_ENGINE_TYPE' : engine})
-            print("Finished engine %s with %d streams." % (engine, num_streams), file=sys.stderr)
+            print('Finished engine {} with {} streams.'.format(engine, num_streams), file=sys.stderr)
 
 
 # This test is designed to expose an issue with cudnn v7.1.4 algo find() when invoked with large c.
@@ -678,20 +668,19 @@ def test_convolution_multiple_streams():
 @pytest.mark.serial
 def test_convolution_large_c():
     problematic_c = 64 * 1024
-    # The convolution accumulates many values, so set large tolerances.
-    tol = {np.dtype(np.float32): 1,
-           np.dtype(np.float64): 1}
+    # The convolution accumulates many values, so scale the input magnitude.
+    scale = 0.1
     def test_1D_with_width(width, grad_req):
         ctx_list = [{'ctx': mx.gpu(0), 'conv_data': (1, problematic_c, width), 'type_dict': {'conv_data': np.float32}},
                     {'ctx': mx.gpu(0), 'conv_data': (1, problematic_c, width), 'type_dict': {'conv_data': np.float64}}]
         sym = mx.sym.Convolution(layout='NCW', num_filter=8, kernel=(2,), name='conv')
-        check_consistency([sym, sym], ctx_list, tol=tol, grad_req=grad_req)
+        check_consistency([sym, sym], ctx_list, grad_req=grad_req, scale=scale)
 
     def test_2D_with_width(width, grad_req):
         ctx_list = [{'ctx': mx.gpu(0), 'conv_data': (1, problematic_c, 2, width), 'type_dict': {'conv_data': np.float32}},
                     {'ctx': mx.gpu(0), 'conv_data': (1, problematic_c, 2, width), 'type_dict': {'conv_data': np.float64}}]
         sym = mx.sym.Convolution(layout='NCHW', num_filter=4, kernel=(2,2), name='conv')
-        check_consistency([sym, sym], ctx_list, tol=tol, grad_req=grad_req)
+        check_consistency([sym, sym], ctx_list, grad_req=grad_req, scale=scale)
 
     # Run with different data tensor shapes to run cudnnFind() multiple times.
     # First, populate algo and op caches with models that always use cudnnFind() (req == 'write').
@@ -709,20 +698,19 @@ def test_2D_with_width(width, grad_req):
 @pytest.mark.serial
 def test_deconvolution_large_c():
     problematic_c = 64 * 1024
-    # The deconvolution accumulates many values, so set large tolerances.
-    tol = {np.dtype(np.float32): 1,
-           np.dtype(np.float64): 1}
+    # The deconvolution accumulates many values, so scale the input magnitude.
+    scale = 0.1
     def test_1D_with_width(width, grad_req):
         ctx_list = [{'ctx': mx.gpu(0), 'deconv_data': (1, 8, width), 'type_dict': {'deconv_data': np.float32}},
                     {'ctx': mx.gpu(0), 'deconv_data': (1, 8, width), 'type_dict': {'deconv_data': np.float64}}]
         sym = mx.sym.Deconvolution(layout='NCW', num_filter=problematic_c, kernel=(2,), name='deconv')
-        check_consistency([sym, sym], ctx_list, tol=tol, grad_req=grad_req)
+        check_consistency([sym, sym], ctx_list, grad_req=grad_req, scale=scale)
 
     def test_2D_with_width(width, grad_req):
         ctx_list = [{'ctx': mx.gpu(0), 'deconv_data': (1, 8, 2, width), 'type_dict': {'deconv_data': np.float32}},
                     {'ctx': mx.gpu(0), 'deconv_data': (1, 8, 2, width), 'type_dict': {'deconv_data': np.float64}}]
         sym = mx.sym.Deconvolution(layout='NCHW', num_filter=problematic_c, kernel=(2,2), name='deconv')
-        check_consistency([sym, sym], ctx_list, tol=tol, grad_req=grad_req)
+        check_consistency([sym, sym], ctx_list, grad_req=grad_req, scale=scale)
 
     # Run with different data tensor shapes to run cudnnFind() multiple times.
     # First, populate algo and op caches with models that always use cudnnFind() (req == 'write').
@@ -831,8 +819,8 @@ def test_deconvolution_with_type():
                np.dtype(np.float64): 1e-5,
                np.dtype(np.uint8): 0,
                np.dtype(np.int32): 0}
-    check_consistency(sym, ctx_list, tol=tol)
-    check_consistency(sym, ctx_list, tol=tol, grad_req="add")
+    check_consistency(sym, ctx_list, rtol=tol, atol=tol)
+    check_consistency(sym, ctx_list, rtol=tol, atol=tol, grad_req="add")
 
     # 2D deconvolution
     sym = mx.sym.Deconvolution(num_filter=2, kernel=(3,3), name='deconv')
@@ -847,8 +835,8 @@ def test_deconvolution_with_type():
                np.dtype(np.float64): 1e-5,
                np.dtype(np.uint8): 0,
                np.dtype(np.int32): 0}
-    check_consistency(sym, ctx_list, tol=tol)
-    check_consistency(sym, ctx_list, tol=tol, grad_req="add")
+    check_consistency(sym, ctx_list, rtol=tol, atol=tol)
+    check_consistency(sym, ctx_list, rtol=tol, atol=tol, grad_req="add")
 
 
 @with_seed()
@@ -931,10 +919,11 @@ def test_bilinear_sampler_with_type():
 def test_grid_generator_with_type():
     data = mx.sym.Variable('data')
     sym = mx.sym.GridGenerator(data=data, transform_type='affine', target_shape=(20, 20))
+    scale = 1
     ctx_list = [{'ctx': mx.gpu(0), 'data': (3, 6), 'type_dict': {'data': np.float32}},
                 {'ctx': mx.cpu(0), 'data': (3, 6), 'type_dict': {'data': np.float32}}]
-    check_consistency(sym, ctx_list)
-    check_consistency(sym, ctx_list, grad_req="add")
+    check_consistency(sym, ctx_list, scale=scale)
+    check_consistency(sym, ctx_list, scale=scale, grad_req="add")
     sym = mx.sym.GridGenerator(data=data, transform_type='warp', target_shape=(20, 20))
     ctx_list = [{'ctx': mx.gpu(0), 'data': (3, 2, 20, 20), 'type_dict': {'data': np.float32}},
                 {'ctx': mx.cpu(0), 'data': (3, 2, 20, 20), 'type_dict': {'data': np.float32}}]
@@ -1080,7 +1069,7 @@ def test_pooling_versions_helper(pool_op_list, data, kernel, pool_type, pad, str
                                                                             pool_op))
             sym_list.append(sym)
 
-        check_consistency(sym_list, ctx_list, equal_nan=(not count_include_pad), tol=tol)
+        check_consistency(sym_list, ctx_list, equal_nan=(not count_include_pad), rtol=tol, atol=tol)
 
     def test_pooling_dim(dim, pool_type, dtype, pool_op_list, p_value=2, count_include_pad=True,
                          tol=None):
@@ -1239,7 +1228,7 @@ def test_flatten_slice_after_conv():
 
     ctx_list = [{'ctx': mx.gpu(0), 'conv_data': (2, 16, 16, 16), 'type_dict': {'conv_data': np.float32}},
                 {'ctx': mx.cpu(0), 'conv_data': (2, 16, 16, 16), 'type_dict': {'conv_data': np.float32}}]
-    check_consistency(slice_sym, ctx_list)
+    check_consistency(slice_sym, ctx_list, scale=0.5)
 
 
 @with_seed()
@@ -1545,7 +1534,7 @@ def test_embedding_helper(data_types, weight_types, low_pad, high_pad):
                         'type_dict': {'embedding_data': data_type, 'embedding_weight': weight_type}})
             arg_params = {'embedding_data': np.random.randint(low=-low_pad, high=V+high_pad, size=(N,))}
             check_consistency(sym, ctx_list, grad_req={'embedding_data': 'null','embedding_weight': 'write'},
-                              arg_params=arg_params)
+                              arg_params=arg_params, scale=0.1)
 
     data_types = [np.float16, np.float32, np.float64, np.int32]
     weight_types = [np.float16, np.float32, np.float64]
@@ -1678,7 +1667,7 @@ def test_deformable_psroipooling_with_type():
                                'deformable_psroipool_trans': np.float16}},
                 ]
 
-    check_consistency(sym, ctx_list, scale=0.1, tol=tol,
+    check_consistency(sym, ctx_list, scale=0.1, rtol=tol, atol=tol,
                       grad_req={'deformable_psroipool_data': 'write',
                                 'deformable_psroipool_rois': 'null',
                                 'deformable_psroipool_trans': 'write'}, arg_params=arg_params)
@@ -1710,9 +1699,9 @@ def test_deformable_convolution_with_type():
                  'type_dict': {'deformable_conv_data': np.float32, 'deformable_conv_offset': np.float32}},
                 ]
 
-    check_consistency(sym, ctx_list, scale=0.1, tol=tol)
+    check_consistency(sym, ctx_list, scale=0.1, rtol=tol, atol=tol)
     # test ability to turn off training on bias
-    check_consistency(sym, ctx_list, scale=0.1, tol=tol,
+    check_consistency(sym, ctx_list, scale=0.1, rtol=tol, atol=tol,
                       grad_req={'deformable_conv_data': 'write',
                                 'deformable_conv_offset': 'write',
                                 'deformable_conv_weight': 'write',
@@ -1745,7 +1734,7 @@ def test_deformable_convolution_options():
                  'type_dict': {'deformable_conv_data': np.float32, 'deformable_conv_offset': np.float32}},
                 ]
     sym = mx.sym.contrib.DeformableConvolution(num_filter=3, kernel=(3,3), pad=(1,1), name='deformable_conv')
-    check_consistency(sym, ctx_list, scale=0.1, tol=tol)
+    check_consistency(sym, ctx_list, scale=0.1, rtol=tol, atol=tol)
 
     # Stride > 1
     ctx_list = [{'ctx': mx.gpu(0),
@@ -1766,7 +1755,7 @@ def test_deformable_convolution_options():
                  'type_dict': {'deformable_conv_data': np.float32, 'deformable_conv_offset': np.float32}},
                 ]
     sym = mx.sym.contrib.DeformableConvolution(num_filter=3, kernel=(3,3), stride=(2,2), name='deformable_conv')
-    check_consistency(sym, ctx_list, scale=0.1, tol=tol)
+    check_consistency(sym, ctx_list, scale=0.1, rtol=tol, atol=tol)
 
     # Dilate > 1
     ctx_list = [{'ctx': mx.gpu(0),
@@ -1787,7 +1776,7 @@ def test_deformable_convolution_options():
                  'type_dict': {'deformable_conv_data': np.float32, 'deformable_conv_offset': np.float32}},
                 ]
     sym = mx.sym.contrib.DeformableConvolution(num_filter=3, kernel=(3,3), dilate=(2,2), name='deformable_conv')
-    check_consistency(sym, ctx_list, scale=0.1, tol=tol)
+    check_consistency(sym, ctx_list, scale=0.1, rtol=tol, atol=tol)
 
     # Deformable group > 1
     ctx_list = [{'ctx': mx.gpu(0),
@@ -1808,7 +1797,7 @@ def test_deformable_convolution_options():
                  'type_dict': {'deformable_conv_data': np.float32, 'deformable_conv_offset': np.float32}},
                 ]
     sym = mx.sym.contrib.DeformableConvolution(num_filter=4, kernel=(3,3), num_deformable_group=2, name='deformable_conv')
-    check_consistency(sym, ctx_list, scale=0.1, tol=tol)
+    check_consistency(sym, ctx_list, scale=0.1, rtol=tol, atol=tol)
 
 
 def check_rnn_layer(layer):
@@ -2020,22 +2009,22 @@ def check_proposal_consistency(op, batch_size, with_nms=False):
 
 # The following 2 functions launch 0-thread kernels, an error that should be caught and signaled.
 def kernel_error_check_imperative():
-    os.environ['MXNET_ENGINE_TYPE'] = 'NaiveEngine'
-    with mx.np_shape(active=True):
-        a = mx.nd.array([1,2,3],ctx=mx.gpu(0))
-        b = mx.nd.array([],ctx=mx.gpu(0))
-        c = (a / b).asnumpy()
+    with environment('MXNET_ENGINE_TYPE', 'NaiveEngine'):
+        with mx.np_shape(active=True):
+            a = mx.nd.array([1,2,3],ctx=mx.gpu(0))
+            b = mx.nd.array([],ctx=mx.gpu(0))
+            c = (a / b).asnumpy()
 
 def kernel_error_check_symbolic():
-    os.environ['MXNET_ENGINE_TYPE'] = 'NaiveEngine'
-    with mx.np_shape(active=True):
-        a = mx.sym.Variable('a')
-        b = mx.sym.Variable('b')
-        c = a / b
-        f = c._bind(mx.gpu(0), { 'a':mx.nd.array([1,2,3],ctx=mx.gpu(0)),
-                                'b':mx.nd.array([],ctx=mx.gpu(0))})
-        f.forward()
-        g = f.outputs[0].asnumpy()
+    with environment('MXNET_ENGINE_TYPE', 'NaiveEngine'):
+        with mx.np_shape(active=True):
+            a = mx.sym.Variable('a')
+            b = mx.sym.Variable('b')
+            c = a / b
+            f = c.bind(mx.gpu(0), {'a':mx.nd.array([1,2,3],ctx=mx.gpu(0)),
+                                   'b':mx.nd.array([],ctx=mx.gpu(0))})
+            f.forward()
+            g = f.outputs[0].asnumpy()
 
 @pytest.mark.serial
 def test_kernel_error_checking():
@@ -2234,9 +2223,9 @@ def test_bulking():
         # Create shared variable to return measured time from test process
         time_per_iteration = mp.Manager().Value('d', 0.0)
         if not run_in_spawned_process(_test_bulking_in_process,
-                                      {'MXNET_EXEC_BULK_EXEC_MAX_NODE_TRAIN_FWD' : seg_sizes[0],
-                                       'MXNET_EXEC_BULK_EXEC_MAX_NODE_TRAIN_BWD' : seg_sizes[1],
-                                       'MXNET_EXEC_BULK_EXEC_TRAIN' : seg_sizes[2]},
+                                      {'MXNET_EXEC_BULK_EXEC_MAX_NODE_TRAIN_FWD' : str(seg_sizes[0]),
+                                       'MXNET_EXEC_BULK_EXEC_MAX_NODE_TRAIN_BWD' : str(seg_sizes[1]),
+                                       'MXNET_EXEC_BULK_EXEC_TRAIN' : str(seg_sizes[2])},
                                       time_per_iteration):
             # skip test since the python version can't run it properly.  Warning msg was logged.
             return
diff --git a/tests/python/gpu/test_profiler_gpu.py b/tests/python/gpu/test_profiler_gpu.py
new file mode 100644
index 000000000000..89eb425c744f
--- /dev/null
+++ b/tests/python/gpu/test_profiler_gpu.py
@@ -0,0 +1,147 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+import os
+import sys
+
+import mxnet as mx
+mx.test_utils.set_default_context(mx.gpu(0))
+
+curr_path = os.path.dirname(os.path.abspath(os.path.expanduser(__file__)))
+sys.path.insert(0, os.path.join(curr_path, '../unittest'))
+# We import all tests from ../unittest/test_profiler.py
+# They will be detected by test framework, as long as the current file has a different filename
+from test_profiler import *
+
+# Test seen to crash pytest worker during development of https://github.com/apache/incubator-mxnet/pull/18694
+del test_aggregate_duplication
+
+def test_gpu_memory_profiler_symbolic():
+    iter_num = 5
+
+    enable_profiler('test_profiler.json', False, False)
+    profiler.set_state('run')
+
+    with profiler.scope("tensordot"):
+        A = mx.sym.Variable('A')
+        B = mx.sym.Variable('B')
+        C = mx.symbol.dot(A, B, name='dot')
+
+    executor = C._simple_bind(mx.gpu(), 'write', A=(4096, 4096), B=(4096, 4096))
+
+    a = mx.random.uniform(-1.0, 1.0, shape=(4096, 4096))
+    b = mx.random.uniform(-1.0, 1.0, shape=(4096, 4096))
+
+    a.copyto(executor.arg_dict['A'])
+    b.copyto(executor.arg_dict['B'])
+
+    for i in range(iter_num):
+        executor.forward()
+        c = executor.outputs[0]
+        mx.nd.waitall()
+    profiler.set_state('stop')
+    profiler.dump(True)
+
+    expected_alloc_entries = [
+            {'Attribute Name' : 'tensordot:in_arg:A',
+             'Requested Size' : str(4 * a.size)},
+            {'Attribute Name' : 'tensordot:in_arg:B',
+             'Requested Size' : str(4 * b.size)},
+            {'Attribute Name' : 'tensordot:dot',
+             'Requested Size' : str(4 * c.size)}]
+
+    # Sample gpu_memory_profile.csv:
+    # "Attribute Name","Requested Size","Device","Actual Size","Reuse?"
+    # "<unk>:_zeros","67108864","0","67108864","0"
+    # "<unk>:_zeros","67108864","0","67108864","0"
+    # "tensordot:dot","67108864","0","67108864","1"
+    # "tensordot:dot","67108864","0","67108864","1"
+    # "tensordot:in_arg:A","67108864","0","67108864","0"
+    # "tensordot:in_arg:B","67108864","0","67108864","0"
+    # "nvml_amend","1074790400","0","1074790400","0"
+
+    with open('gpu_memory_profile-pid_%d.csv' % (os.getpid()), mode='r') as csv_file:
+        csv_reader = csv.DictReader(csv_file)
+        for expected_alloc_entry in expected_alloc_entries:
+            csv_file.seek(0)
+            entry_found = False
+            for row in csv_reader:
+                if row['Attribute Name'] == expected_alloc_entry['Attribute Name']:
+                    assert row['Requested Size'] == expected_alloc_entry['Requested Size'], \
+                           "requested size={} is not equal to the expected size={}" \
+                           .format(row['Requested Size'],
+                                   expected_alloc_entry['Requested Size'])
+                    entry_found = True
+                    break
+            assert entry_found, \
+                   "Entry for attr_name={} has not been found" \
+                   .format(expected_alloc_entry['Attribute Name'])
+
+
+@pytest.mark.skipif(is_cd_run(), reason="flaky test - open issue #18564")
+@pytest.mark.skip(reason='https://github.com/apache/incubator-mxnet/issues/18564')
+def test_gpu_memory_profiler_gluon():
+    enable_profiler(profile_filename='test_profiler.json',
+                    run=True, continuous_dump=True)
+    profiler.set_state('run')
+
+    model = nn.HybridSequential()
+    model.add(nn.Dense(128, activation='tanh'))
+    model.add(nn.Dropout(0.5))
+    model.add(nn.Dense(64, activation='tanh'),
+              nn.Dense(32, in_units=64))
+    model.add(nn.Activation('relu'))
+    model.initialize(ctx=mx.gpu())
+    model.hybridize()
+
+    inputs = mx.sym.var('data')
+
+    with mx.autograd.record():
+        out = model(mx.nd.zeros((16, 10), ctx=mx.gpu()))
+    out.backward()
+    mx.nd.waitall()
+    profiler.set_state('stop')
+    profiler.dump(True)
+
+    # We are only checking for weight parameters here, also making sure that
+    # there is no unknown entries in the memory profile.
+    with open('gpu_memory_profile-pid_%d.csv' % (os.getpid()), mode='r') as csv_file:
+        csv_reader = csv.DictReader(csv_file)
+        for row in csv_reader:
+            print(",".join(list(row.values())))
+        for scope in ['in_arg', 'arg_grad']:
+            for key, nd in model.collect_params().items():
+                expected_arg_name = "%s:%s:" % (model.name, scope) + nd.name
+                expected_arg_size = str(4 * np.prod(nd.shape))
+                csv_file.seek(0)
+                entry_found = False
+                for row in csv_reader:
+                    if row['Attribute Name'] == expected_arg_name:
+                        assert row['Requested Size'] == expected_arg_size, \
+                            "requested size={} is not equal to the expected size={}" \
+                            .format(row['Requested Size'], expected_arg_size)
+                        entry_found = True
+                        break
+                assert entry_found, \
+                    "Entry for attr_name={} has not been found" \
+                    .format(expected_arg_name)
+        # Make sure that there is no unknown allocation entry.
+        csv_file.seek(0)
+        for row in csv_reader:
+            if row['Attribute Name'] == "<unk>:unknown" or \
+               row['Attribute Name'] == "<unk>:":
+                assert False, "Unknown allocation entry has been encountered"
diff --git a/tests/python/mkl/test_mkldnn.py b/tests/python/mkl/test_mkldnn.py
index d8489240d552..0bd5d1ead13b 100644
--- a/tests/python/mkl/test_mkldnn.py
+++ b/tests/python/mkl/test_mkldnn.py
@@ -24,7 +24,7 @@
 import mxnet as mx
 import pytest
 from mxnet.test_utils import rand_ndarray, assert_almost_equal
-from mxnet import gluon
+from mxnet import gluon, context
 from mxnet.gluon import nn
 from mxnet.test_utils import *
 curr_path = os.path.dirname(os.path.abspath(os.path.expanduser(__file__)))
@@ -210,7 +210,7 @@ def test_flatten_slice_after_conv():
 
     shape = (2, 16, 16, 16)
     val = np.random.rand(2, 16, 16, 16).astype(np.float32)
-    exe = slice1._simple_bind(Context.default_ctx, data=shape)
+    exe = slice1._simple_bind(context.current_context(), data=shape)
     exe.arg_arrays[0][:] = val
     exe.arg_arrays[1][:] = np.random.normal(size=exe.arg_arrays[1].shape)
     exe.arg_arrays[2][:] = np.random.normal(size=exe.arg_arrays[2].shape)
diff --git a/tests/python/unittest/common.py b/tests/python/unittest/common.py
index 021961646f3c..2f30096c10b4 100644
--- a/tests/python/unittest/common.py
+++ b/tests/python/unittest/common.py
@@ -23,6 +23,7 @@
 import random
 import shutil
 from mxnet.base import MXNetError
+from mxnet.test_utils import environment
 curr_path = os.path.dirname(os.path.abspath(os.path.expanduser(__file__)))
 sys.path.append(os.path.join(curr_path, '../common/'))
 sys.path.insert(0, os.path.join(curr_path, '../../../python'))
@@ -216,17 +217,21 @@ def test_new(*args, **kwargs):
                 logger = default_logger()
                 # 'pytest --logging-level=DEBUG' shows this msg even with an ensuing core dump.
                 test_count_msg = '{} of {}: '.format(i+1,test_count) if test_count > 1 else ''
-                test_msg = ('{}Setting test np/mx/python random seeds, use MXNET_TEST_SEED={}'
-                            ' to reproduce.').format(test_count_msg, this_test_seed)
-                logger.log(log_level, test_msg)
+                pre_test_msg = ('{}Setting test np/mx/python random seeds, use MXNET_TEST_SEED={}'
+                                ' to reproduce.').format(test_count_msg, this_test_seed)
+                on_err_test_msg = ('{}Error seen with seeded test, use MXNET_TEST_SEED={}'
+                                ' to reproduce.').format(test_count_msg, this_test_seed)
+                logger.log(log_level, pre_test_msg)
                 try:
                     orig_test(*args, **kwargs)
                 except:
-                    # With exceptions, repeat test_msg at INFO level to be sure it's seen.
-                    if log_level < logging.INFO:
-                        logger.info(test_msg)
+                    # With exceptions, repeat test_msg at WARNING level to be sure it's seen.
+                    if log_level < logging.WARNING:
+                        logger.warning(on_err_test_msg)
                     raise
                 finally:
+                    # Provide test-isolation for any test having this decorator
+                    mx.nd.waitall()
                     np.random.set_state(post_test_state)
         return test_new
     return test_helper
@@ -285,7 +290,7 @@ def setup_module():
         seed = np.random.randint(0, np.iinfo(np.int32).max)
     else:
         seed = int(module_seed_str)
-        logger.warn('*** module-level seed is set: all tests running deterministically ***')
+        logger.warning('*** module-level seed is set: all tests running deterministically ***')
     logger.info('Setting module np/mx/python random seeds, use MXNET_MODULE_SEED=%s to reproduce.', seed)
     np.random.seed(seed)
     mx.random.seed(seed)
@@ -293,7 +298,7 @@ def setup_module():
     # The MXNET_TEST_SEED environment variable will override MXNET_MODULE_SEED for tests with
     #  the 'with_seed()' decoration.  Inform the user of this once here at the module level.
     if os.getenv('MXNET_TEST_SEED') is not None:
-        logger.warn('*** test-level seed set: all "@with_seed()" tests run deterministically ***')
+        logger.warning('*** test-level seed set: all "@with_seed()" tests run deterministically ***')
 
 
 def teardown_module():
@@ -305,6 +310,22 @@ def teardown_module():
     mx.nd.waitall()
 
 
+def with_environment(*args_):
+    """
+    Helper function that takes a dictionary of environment variables and their
+    desired settings and changes the environment in advance of running the
+    decorated code.  The original environment state is reinstated afterwards,
+    even if exceptions are raised.
+    """
+    def test_helper(orig_test):
+        @functools.wraps(orig_test)
+        def test_new(*args, **kwargs):
+            with environment(*args_):
+                orig_test(*args, **kwargs)
+        return test_new
+    return test_helper
+
+
 def run_in_spawned_process(func, env, *args):
     """
     Helper function to run a test in its own process.
@@ -335,18 +356,12 @@ def run_in_spawned_process(func, env, *args):
         return False
     else:
         seed = np.random.randint(0,1024*1024*1024)
-        orig_environ = os.environ.copy()
-        try:
-            for (key, value) in env.items():
-                os.environ[key] = str(value)
+        with environment(env):
             # Prepend seed as first arg
             p = mpctx.Process(target=func, args=(seed,)+args)
             p.start()
             p.join()
             assert p.exitcode == 0, "Non-zero exit code %d from %s()." % (p.exitcode, func.__name__)
-        finally:
-            os.environ.clear()
-            os.environ.update(orig_environ)
     return True
 
 
@@ -359,13 +374,13 @@ def test_helper(orig_test):
         @functools.wraps(orig_test)
         def test_new(*args, **kwargs):
             """Wrapper for tests function."""
-            for _ in range(n):
+            for i in range(n):
                 try:
                     orig_test(*args, **kwargs)
+                    return
                 except AssertionError as e:
-                    err = e
-                    continue
-                return
-            raise err
+                    if i == n-1:
+                        raise e
+                    mx.nd.waitall()
         return test_new
     return test_helper
diff --git a/tests/python/unittest/onnx/backend_test.py b/tests/python/unittest/onnx/backend_test.py
index 69d9e1427b69..cf3cdc1bfb54 100644
--- a/tests/python/unittest/onnx/backend_test.py
+++ b/tests/python/unittest/onnx/backend_test.py
@@ -19,21 +19,6 @@
 # under the License.
 
 """ONNX test backend wrapper"""
-try:
-    import onnx.backend.test
-except ImportError:
-    raise ImportError("Onnx and protobuf need to be installed")
-
-import test_cases
-import unittest
-import backend as mxnet_backend
-import logging
-
-operations = ['import', 'export']
-backends = ['mxnet', 'gluon']
-# This is a pytest magic variable to load extra plugins
-pytest_plugins = "onnx.backend.test.report",
-
 
 def build_test_suite(backend_tests):  # type: () -> unittest.TestSuite
     '''
@@ -80,13 +65,29 @@ def prepare_tests(backend, oper):
     return BACKEND_TESTS
 
 
-for bkend in backends:
-    for operation in operations:
-        log = logging.getLogger(bkend + operation)
-        if bkend == 'gluon' and operation == 'export':
-            log.warning('Gluon->ONNX export not implemented. Skipping tests...')
-            continue
-        log.info('Executing tests for ' + bkend + ' backend: ' + operation)
-        mxnet_backend.MXNetBackend.set_params(bkend, operation)
-        BACKEND_TESTS = prepare_tests(mxnet_backend, operation)
-        unittest.TextTestRunner().run(build_test_suite(BACKEND_TESTS.enable_report()))
+if __name__ == '__main__':
+    try:
+        import onnx.backend.test
+    except ImportError:
+        raise ImportError("Onnx and protobuf need to be installed")
+
+    import test_cases
+    import unittest
+    import backend as mxnet_backend
+    import logging
+
+    operations = ['import', 'export']
+    backends = ['mxnet', 'gluon']
+    # This is a pytest magic variable to load extra plugins
+    pytest_plugins = "onnx.backend.test.report",
+
+    for bkend in backends:
+        for operation in operations:
+            log = logging.getLogger(bkend + operation)
+            if bkend == 'gluon' and operation == 'export':
+                log.warning('Gluon->ONNX export not implemented. Skipping tests...')
+                continue
+            log.info('Executing tests for ' + bkend + ' backend: ' + operation)
+            mxnet_backend.MXNetBackend.set_params(bkend, operation)
+            BACKEND_TESTS = prepare_tests(mxnet_backend, operation)
+            unittest.TextTestRunner().run(build_test_suite(BACKEND_TESTS.enable_report()))
diff --git a/tests/python/unittest/onnx/mxnet_export_test.py b/tests/python/unittest/onnx/mxnet_export_test.py
index 61d00f2fca3c..0248e4b3d238 100644
--- a/tests/python/unittest/onnx/mxnet_export_test.py
+++ b/tests/python/unittest/onnx/mxnet_export_test.py
@@ -17,7 +17,6 @@
 
 
 # pylint: disable=too-many-locals,wrong-import-position,import-error
-from __future__ import absolute_import
 import os, sys
 import unittest
 import logging
@@ -29,7 +28,6 @@
 from mxnet.test_utils import set_default_context
 from mxnet.gluon import nn
 from mxnet.gluon import HybridBlock
-from mxnet.contrib import onnx as onnx_mxnet
 import mxnet as mx
 
 logger = logging.getLogger()
@@ -58,21 +56,21 @@ def _check_onnx_export(net, group_outputs=False, shape_type=tuple, extra_params=
     data = nd.random.uniform(0, 1, (1, 1024))
     output = _force_list(net(data))  # initialize weights
     net_sym = _optional_group(net(sym.Variable('data')), group_outputs)
-    net_params = {param.name: param._reduce() for name, param in net.collect_params().items()}
+    net_params = {param.var().name: param._reduce() for param in net.collect_params().values()}
     net_params.update(extra_params)
     with tempfile.TemporaryDirectory() as tmpdirname:
         onnx_file_path = os.path.join(tmpdirname, 'net.onnx')
-        export_path = onnx_mxnet.export_model(
+        export_path = mx.contrib.onnx.export_model(
             sym=net_sym,
             params=net_params,
             input_shape=[shape_type(data.shape)],
             onnx_file_path=onnx_file_path)
         assert export_path == onnx_file_path
         # Try importing the model to symbol
-        _assert_sym_equal(net_sym, onnx_mxnet.import_model(export_path)[0])
+        _assert_sym_equal(net_sym, mx.contrib.onnx.import_model(export_path)[0])
 
         # Try importing the model to gluon
-        imported_net = onnx_mxnet.import_to_gluon(export_path, ctx=None)
+        imported_net = mx.contrib.onnx.import_to_gluon(export_path, ctx=None)
         _assert_sym_equal(net_sym, _optional_group(imported_net(sym.Variable('data')), group_outputs))
 
         # Confirm network outputs are the same
diff --git a/tests/python/unittest/onnx/test_node.py b/tests/python/unittest/onnx/test_node.py
index 351ac5eb5f1b..fabba1a9e555 100644
--- a/tests/python/unittest/onnx/test_node.py
+++ b/tests/python/unittest/onnx/test_node.py
@@ -22,7 +22,6 @@
 those PRs merged, this file will get EOL'ed.
 """
 # pylint: disable=too-many-locals,wrong-import-position,import-error
-from __future__ import absolute_import
 import sys
 import os
 import unittest
@@ -34,7 +33,6 @@
 from onnx import checker, numpy_helper, helper, load_model
 from onnx import TensorProto
 from mxnet.test_utils import download
-from mxnet.contrib import onnx as onnx_mxnet
 import mxnet as mx
 import backend
 
@@ -123,13 +121,13 @@ def test_exports(self):
                 mx_op = mx_op(**attrs)
                 mx_op.initialize()
                 mx_op(mx.nd.zeros(input_shape))
-                params = {p.name: p.data() for p in mx_op.collect_params().values()}
+                params = {p.var().name: p.data() for p in mx_op.collect_params().values()}
                 outsym = mx_op(input_sym)
             else:
                 params = {}
                 outsym = mx_op(input_sym, **attrs)
-            converted_model = onnx_mxnet.export_model(outsym, params, [input_shape], np.float32,
-                                                      onnx_file_path=outsym.name + ".onnx")
+            converted_model = mx.contrib.onnx.export_model(outsym, params, [input_shape], np.float32,
+                                                           onnx_file_path=outsym.name + ".onnx")
             model = load_model(converted_model)
             checker.check_model(model)
 
diff --git a/tests/python/unittest/test_autograd.py b/tests/python/unittest/test_autograd.py
index d7f078c28b7f..f9a7eccfa0a5 100644
--- a/tests/python/unittest/test_autograd.py
+++ b/tests/python/unittest/test_autograd.py
@@ -20,8 +20,9 @@
 from mxnet.ndarray import zeros_like
 from mxnet.autograd import *
 from mxnet.test_utils import *
+
 from common import setup_module, with_seed, teardown_module, xfail_when_nonstandard_decimal_separator
-from mxnet.test_utils import EnvManager
+from mxnet.test_utils import environment
 
 import pytest
 
@@ -124,7 +125,7 @@ def check_unary_func(x):
         autograd_assert(x, func=f_square, grad_func=f_square_grad)
     uniform = nd.uniform(shape=(4, 5))
     stypes = ['default', 'row_sparse', 'csr']
-    with EnvManager('MXNET_STORAGE_FALLBACK_LOG_VERBOSE', '0'):
+    with environment('MXNET_STORAGE_FALLBACK_LOG_VERBOSE', '0'):
         for stype in stypes:
             check_unary_func(uniform.tostype(stype))
 
@@ -143,7 +144,7 @@ def check_binary_func(x, y):
     uniform_x = nd.uniform(shape=(4, 5))
     uniform_y = nd.uniform(shape=(4, 5))
     stypes = ['default', 'row_sparse', 'csr']
-    with EnvManager('MXNET_STORAGE_FALLBACK_LOG_VERBOSE', '0'):
+    with environment('MXNET_STORAGE_FALLBACK_LOG_VERBOSE', '0'):
         for stype_x in stypes:
             for stype_y in stypes:
                 x = uniform_x.tostype(stype_x)
@@ -404,6 +405,67 @@ def backward(self, dY):
         X.wait_to_read()
 
 
+@with_seed()
+@pytest.mark.garbage_expected
+@use_np
+def test_np_function():
+    class func(Function):
+        def forward(self, x, y):
+            m = x / y
+            n = x * y
+            self.save_for_backward(x, y)
+            return m, n
+
+        def backward(self, dm, dn):
+            x, y = self.saved_tensors
+            dx = dm/y + dn*y
+            dy = dn*x - dm * x / y / y
+            return dx, dy
+
+    f = func()
+    x = mx.np.random.uniform(size=(10,))
+    x.attach_grad()
+    y = mx.np.random.uniform(size=(10,))
+    y.attach_grad()
+    with record():
+        m, n = f(x, y)
+        backward([m, n])
+
+    dx1 = x.grad.asnumpy()
+    dy1 = y.grad.asnumpy()
+
+    with record():
+        backward([x/y, x*y])
+
+    # Non-zero atol required, as exposed by seed 630179191
+    atol = 1e-6
+    assert_almost_equal(x.grad.asnumpy(), dx1, atol=atol)
+    assert_almost_equal(y.grad.asnumpy(), dy1, atol=atol)
+
+
+@with_seed()
+@pytest.mark.garbage_expected
+@use_np
+def test_np_function1():
+    class Foo(mx.autograd.Function):
+        def __init__(self):
+            super(Foo, self).__init__()
+
+        def forward(self, X):
+            return X + 1;
+
+        def backward(self, dY):
+            return dY
+
+    with mx.autograd.record():
+        X = mx.np.zeros((3, 4))
+        #X.attach_grad()  # uncommenting this line works
+        for i in range(5):
+            f = Foo()
+            X = f(X)
+        X.wait_to_read()
+
+
 @with_seed()
 @pytest.mark.garbage_expected
 def test_get_symbol():
@@ -420,6 +482,7 @@ def test_get_symbol():
     assert len(get_symbol(y).list_arguments()) == 2
 
 @with_seed()
+@pytest.mark.garbage_expected
 def test_grad_with_stype():
     def check_grad_with_stype(array_stype, grad_stype, expected_stype):
         x = mx.nd.zeros((1, 1), stype=array_stype)
@@ -439,6 +502,7 @@ def check_grad_with_stype(array_stype, grad_stype, expected_stype):
             check_grad_with_stype(stype, grad_stype, grad_stype)
 
 @with_seed()
+@pytest.mark.garbage_expected
 def test_sparse_dot_grad():
     def check_sparse_dot_grad(rhs):
         lhs = rand_ndarray((2, 8), 'csr')
diff --git a/tests/python/unittest/test_base.py b/tests/python/unittest/test_base.py
index 07d429589ba2..2175d7b9a062 100644
--- a/tests/python/unittest/test_base.py
+++ b/tests/python/unittest/test_base.py
@@ -16,33 +16,94 @@
 # under the License.
 
 import mxnet as mx
+from numpy.testing import assert_equal
 from mxnet.base import data_dir
+from mxnet.test_utils import environment
+from mxnet.util import getenv
+from common import setup_module, teardown_module, with_environment
 import os
-import unittest
 import logging
 import os.path as op
 import platform
+import pytest
 
-class MXNetDataDirTest(unittest.TestCase):
-    def setUp(self):
-        self.mxnet_data_dir = os.environ.get('MXNET_HOME')
-        if 'MXNET_HOME' in os.environ:
-            del os.environ['MXNET_HOME']
+@pytest.mark.garbage_expected
+def test_environment():
+    name1 = 'MXNET_TEST_ENV_VAR_1'
+    name2 = 'MXNET_TEST_ENV_VAR_2'
 
-    def tearDown(self):
-        if self.mxnet_data_dir:
-            os.environ['MXNET_HOME'] = self.mxnet_data_dir
-        else:
-            if 'MXNET_HOME' in os.environ:
-                del os.environ['MXNET_HOME']
-
-    def test_data_dir(self,):
-        prev_data_dir = data_dir()
-        system = platform.system()
-        if system != 'Windows':
-            self.assertEqual(data_dir(), op.join(op.expanduser('~'), '.mxnet'))
-        os.environ['MXNET_HOME'] = '/tmp/mxnet_data'
-        self.assertEqual(data_dir(), '/tmp/mxnet_data')
-        del os.environ['MXNET_HOME']
-        self.assertEqual(data_dir(), prev_data_dir)
+    # Test that a variable can be set in the python and backend environment
+    with environment(name1, '42'):
+        assert_equal(os.environ.get(name1), '42')
+        assert_equal(getenv(name1), '42')
+
+    # Test dict form of invocation
+    env_var_dict = {name1: '1', name2: '2'}
+    with environment(env_var_dict):
+        for key, value in env_var_dict.items():
+            assert_equal(os.environ.get(key), value)
+            assert_equal(getenv(key), value)
+
+    # Further testing in 'test_with_environment()'
+
+@with_environment({'MXNET_TEST_ENV_VAR_1': '10', 'MXNET_TEST_ENV_VAR_2': None})
+def test_with_environment():
+    name1 = 'MXNET_TEST_ENV_VAR_1'
+    name2 = 'MXNET_TEST_ENV_VAR_2'
+    def check_background_values():
+        assert_equal(os.environ.get(name1), '10')
+        assert_equal(getenv(name1), '10')
+        assert_equal(os.environ.get(name2), None)
+        assert_equal(getenv(name2), None)
+
+    check_background_values()
+
+    # This completes the testing of with_environment(), but since we have
+    # an environment with a couple of known settings, lets use it to test if
+    # 'with environment()' properly restores to these settings in all cases.
 
+    class OnPurposeError(Exception):
+        """A class for exceptions thrown by this test"""
+        pass
+
+    # Enter an environment with one variable set and check it appears
+    # to both python and the backend.  Then, outside the 'with' block,
+    # make sure the background environment is seen, regardless of whether
+    # the 'with' block raised an exception.
+    def test_one_var(name, value, raise_exception=False):
+        try:
+            with environment(name, value):
+                assert_equal(os.environ.get(name), value)
+                assert_equal(getenv(name), value)
+                if raise_exception:
+                    raise OnPurposeError
+        except OnPurposeError:
+            pass
+        finally:
+            check_background_values()
+
+    # Test various combinations of set and unset env vars.
+    # Test that the background setting is restored in the presense of exceptions.
+    for raise_exception in [False, True]:
+        # name1 is initially set in the environment
+        test_one_var(name1, '42', raise_exception)
+        test_one_var(name1, None, raise_exception)
+        # name2 is initially not set in the environment
+        test_one_var(name2, '42', raise_exception)
+        test_one_var(name2, None, raise_exception)
+
+
+def test_data_dir():
+    prev_data_dir = data_dir()
+    system = platform.system()
+    # Test that data_dir() returns the proper default value when MXNET_HOME is not set
+    with environment('MXNET_HOME', None):
+        if system == 'Windows':
+            assert_equal(data_dir(), op.join(os.environ.get('APPDATA'), 'mxnet'))
+        else:
+            assert_equal(data_dir(), op.join(op.expanduser('~'), '.mxnet'))
+    # Test that data_dir() responds to an explicit setting of MXNET_HOME
+    with environment('MXNET_HOME', '/tmp/mxnet_data'):
+        assert_equal(data_dir(), '/tmp/mxnet_data')
+    # Test that this test has not disturbed the MXNET_HOME value existing before the test
+    assert_equal(data_dir(), prev_data_dir)
diff --git a/tests/python/unittest/test_contrib_gluon_data_vision.py b/tests/python/unittest/test_contrib_gluon_data_vision.py
index d2e38d66cb20..166b07f843d7 100644
--- a/tests/python/unittest/test_contrib_gluon_data_vision.py
+++ b/tests/python/unittest/test_contrib_gluon_data_vision.py
@@ -19,7 +19,7 @@
 import numpy as np
 import scipy.ndimage
 from mxnet.test_utils import *
-from common import assertRaises, with_seed
+from common import assertRaises, with_seed, setup_module, teardown_module
 import shutil
 import tempfile
 import unittest
@@ -63,6 +63,7 @@ def tearDown(self):
             print("cleanup {}".format(self.IMAGES_DIR))
             shutil.rmtree(self.IMAGES_DIR)
 
+    @with_seed()
     def test_imageiter(self):
         im_list = [[np.random.randint(0, 5), x] for x in self.IMAGES]
         os.makedirs('./data', exist_ok=True)
@@ -95,6 +96,7 @@ def test_imageiter(self):
                     for batch in it:
                         pass
 
+    @with_seed()
     def test_image_bbox_iter(self):
         im_list = [_generate_objects() + [x] for x in self.IMAGES]
         det_iter = mx.gluon.contrib.data.vision.ImageBboxDataLoader(2, (3, 300, 300), imglist=im_list, path_root='')
@@ -131,6 +133,7 @@ def test_image_bbox_iter(self):
         ]
 
 
+    @with_seed()
     def test_bbox_augmenters(self):
         # only test if all augmenters will work
         # TODO(Joshua Zhang): verify the augmenter outputs
diff --git a/tests/python/unittest/test_deferred_compute.py b/tests/python/unittest/test_deferred_compute.py
index c2441dc54835..4b98470730e0 100644
--- a/tests/python/unittest/test_deferred_compute.py
+++ b/tests/python/unittest/test_deferred_compute.py
@@ -522,7 +522,8 @@ def test_dc_hybridblock_symbolblock_error():
 
     inputs = mx.sym.var('data')
     outputs = model(inputs).get_internals()
-    smodel = mx.gluon.SymbolBlock(outputs, inputs, params=model.collect_params())
+    smodel = mx.gluon.SymbolBlock(outputs, inputs)
+    smodel.initialize()
 
     assert len(smodel(mx.nd.zeros((16, 10)))) == 14
 
diff --git a/tests/python/unittest/test_engine.py b/tests/python/unittest/test_engine.py
index 538e4b57ead8..642d9e1f169e 100644
--- a/tests/python/unittest/test_engine.py
+++ b/tests/python/unittest/test_engine.py
@@ -17,7 +17,7 @@
 
 import mxnet as mx
 import os
-from mxnet.test_utils import EnvManager
+from mxnet.test_utils import environment
 import pytest
 
 def test_bulk():
@@ -41,7 +41,7 @@ def test_engine_openmp_after_fork():
     With GOMP the child always has the same number when calling omp_get_max_threads, with LLVM OMP
     the child respects the number of max threads set in the parent.
     """
-    with EnvManager('OMP_NUM_THREADS', '42'):
+    with environment('OMP_NUM_THREADS', '42'):
         r, w = os.pipe()
         pid = os.fork()
         if pid:
diff --git a/tests/python/unittest/test_engine_import.py b/tests/python/unittest/test_engine_import.py
index 7675cf836999..322528c11aed 100644
--- a/tests/python/unittest/test_engine_import.py
+++ b/tests/python/unittest/test_engine_import.py
@@ -16,6 +16,8 @@
 # under the License.
 
 import os
+from mxnet.test_utils import environment
+import pytest
 
 try:
     reload         # Python 2
@@ -23,15 +25,13 @@
     from importlib import reload
 
 
+@pytest.mark.skip(reason='test needs improving, current use of reload(mxnet) is ineffective')
 def test_engine_import():
     import mxnet
-
-    engine_types = ['', 'NaiveEngine', 'ThreadedEngine', 'ThreadedEnginePerDevice']
+    # Temporarily add an illegal entry (that is not caught) to show how the test needs improving
+    engine_types = [None, 'NaiveEngine', 'ThreadedEngine', 'ThreadedEnginePerDevice', 'BogusEngine']
 
     for type in engine_types:
-        if type:
-            os.environ['MXNET_ENGINE_TYPE'] = type
-        else:
-            os.environ.pop('MXNET_ENGINE_TYPE', None)
-        reload(mxnet)
+        with environment('MXNET_ENGINE_TYPE', type):
+            reload(mxnet)
 
diff --git a/tests/python/unittest/test_executor.py b/tests/python/unittest/test_executor.py
index 0e142bf5b05a..27a9e030c171 100644
--- a/tests/python/unittest/test_executor.py
+++ b/tests/python/unittest/test_executor.py
@@ -18,7 +18,7 @@
 import numpy as np
 import mxnet as mx
 from common import setup_module, with_seed, teardown_module
-from mxnet.test_utils import assert_almost_equal
+from mxnet.test_utils import assert_almost_equal, environment
 
 
 def check_bind_with_uniform(uf, gf, dim, sf=None, lshape=None, rshape=None):
@@ -74,42 +74,34 @@ def check_bind_with_uniform(uf, gf, dim, sf=None, lshape=None, rshape=None):
 
 @with_seed()
 def test_bind():
-    def check_bind(disable_bulk_exec):
-        if disable_bulk_exec:
-            prev_bulk_inf_val = mx.test_utils.set_env_var("MXNET_EXEC_BULK_EXEC_INFERENCE", "0", "1")
-            prev_bulk_train_val = mx.test_utils.set_env_var("MXNET_EXEC_BULK_EXEC_TRAIN", "0", "1")
-
-        nrepeat = 10
-        maxdim = 4
-        for repeat in range(nrepeat):
-            for dim in range(1, maxdim):
-                check_bind_with_uniform(lambda x, y: x + y,
-                                        lambda g, x, y: (g, g),
-                                        dim)
-                check_bind_with_uniform(lambda x, y: x - y,
-                                        lambda g, x, y: (g, -g),
-                                        dim)
-                check_bind_with_uniform(lambda x, y: x * y,
-                                        lambda g, x, y: (y * g, x * g),
-                                        dim)
-                check_bind_with_uniform(lambda x, y: x / y,
-                                        lambda g, x, y: (g / y, -x * g/ (y**2)),
-                                        dim)
-
-                check_bind_with_uniform(lambda x, y: np.maximum(x, y),
-                                        lambda g, x, y: (g * (x>=y), g * (y>x)),
-                                        dim,
-                                        sf=mx.symbol.maximum)
-                check_bind_with_uniform(lambda x, y: np.minimum(x, y),
-                                        lambda g, x, y: (g * (x<=y), g * (y<x)),
-                                        dim,
-                                        sf=mx.symbol.minimum)
-        if disable_bulk_exec:
-           mx.test_utils.set_env_var("MXNET_EXEC_BULK_EXEC_INFERENCE", prev_bulk_inf_val)
-           mx.test_utils.set_env_var("MXNET_EXEC_BULK_EXEC_TRAIN", prev_bulk_train_val)
-
-    check_bind(True)
-    check_bind(False)
+    for enable_bulking in ['0', '1']:
+        with environment({'MXNET_EXEC_BULK_EXEC_INFERENCE': enable_bulking,
+                          'MXNET_EXEC_BULK_EXEC_TRAIN': enable_bulking}):
+            nrepeat = 10
+            maxdim = 4
+            for repeat in range(nrepeat):
+                for dim in range(1, maxdim):
+                    check_bind_with_uniform(lambda x, y: x + y,
+                                            lambda g, x, y: (g, g),
+                                            dim)
+                    check_bind_with_uniform(lambda x, y: x - y,
+                                            lambda g, x, y: (g, -g),
+                                            dim)
+                    check_bind_with_uniform(lambda x, y: x * y,
+                                            lambda g, x, y: (y * g, x * g),
+                                            dim)
+                    check_bind_with_uniform(lambda x, y: x / y,
+                                            lambda g, x, y: (g / y, -x * g/ (y**2)),
+                                            dim)
+
+                    check_bind_with_uniform(lambda x, y: np.maximum(x, y),
+                                            lambda g, x, y: (g * (x>=y), g * (y>x)),
+                                            dim,
+                                            sf=mx.symbol.maximum)
+                    check_bind_with_uniform(lambda x, y: np.minimum(x, y),
+                                            lambda g, x, y: (g * (x<=y), g * (y<x)),
+                                            dim,
+                                            sf=mx.symbol.minimum)
 
 
 # @roywei: Removing fixed seed as flakiness in this test is fixed
diff --git a/tests/python/unittest/test_gluon.py b/tests/python/unittest/test_gluon.py
index 77d5119e7dff..69bf81e26705 100644
--- a/tests/python/unittest/test_gluon.py
+++ b/tests/python/unittest/test_gluon.py
@@ -22,13 +22,13 @@
 from mxnet import gluon
 from mxnet.gluon import nn
 from mxnet.base import py_str, MXNetError
-from mxnet.test_utils import assert_almost_equal
+from mxnet.test_utils import assert_almost_equal, default_context
 from mxnet.util import is_np_array
 from mxnet.ndarray.ndarray import _STORAGE_TYPE_STR_TO_ID
 from mxnet.test_utils import use_np
 import mxnet.numpy as _mx_np
 from common import (setup_module, with_seed, assertRaises, teardown_module,
-                    assert_raises_cudnn_not_satisfied, xfail_when_nonstandard_decimal_separator)
+                    assert_raises_cudnn_not_satisfied, xfail_when_nonstandard_decimal_separator, environment)
 import numpy as np
 from numpy.testing import assert_array_equal
 import pytest
@@ -252,6 +252,12 @@ def test_dense():
     assert outs == [(17, 128)]
 
 
+def test_hybrid_sequential_unique_internals():
+    net = mx.gluon.nn.HybridSequential()
+    net.add(mx.gluon.nn.Dense(100, activation='relu'), mx.gluon.nn.Dense(10))
+    assert len(set(s.name for s in net(mx.sym.Variable('data')).get_internals())) == 8
+
+
 @with_seed()
 def test_symbol_block(tmpdir):
     model = nn.HybridSequential()
@@ -265,8 +271,8 @@ def test_symbol_block(tmpdir):
 
     inputs = mx.sym.var('data')
     outputs = model(inputs).get_internals()
-
-    smodel = gluon.SymbolBlock(outputs, inputs, params=model.collect_params())
+    params = {p.var().name: p for p in model.collect_params().values()}
+    smodel = gluon.SymbolBlock(outputs, inputs, params=params)
 
     assert len(smodel(mx.nd.zeros((16, 10)))) == 14
 
@@ -288,7 +294,8 @@ def hybrid_forward(self, F, x):
 
     inputs = mx.sym.var('data')
     outputs = model(inputs)
-    smodel = gluon.SymbolBlock(outputs, inputs, params=model.collect_params())
+    params = {p.var().name: p for p in model.collect_params().values()}
+    smodel = gluon.SymbolBlock(outputs, inputs, params=params)
     net = Net(smodel)
     net.hybridize()
     assert isinstance(net(mx.nd.zeros((16, 10))), mx.nd.NDArray)
@@ -306,12 +313,10 @@ def hybrid_forward(self, F, x):
     net_fp32.hybridize()
     data = mx.nd.zeros((1,3,224,224), dtype='float64', ctx=ctx)
     net_fp32.forward(data)
-    net_fp32.export(tmpfile, 0)
+    sym_file, params_file = net_fp32.export(tmpfile, 0)
 
     # 2.a Load the saved model and verify if all the params are loaded correctly.
     # and choose one of the param to verify the type if fp64.\
-    sym_file = tmpfile + '-symbol.json'
-    params_file = tmpfile + '-0000.params'
     sm = mx.sym.load(sym_file)
     inputs = mx.sym.var('data', dtype='float64')
     net_fp64 = mx.gluon.SymbolBlock(sm, inputs)
@@ -805,7 +810,7 @@ def _syncParameters(bn1, bn2, ctx):
                             input2grad.asnumpy(), atol=atol, rtol=rtol)
 
     cfgs = [(1, False)]
-    num_gpus = mx.context.num_gpus()
+    num_gpus = 0 if default_context().device_type != 'gpu' else mx.context.num_gpus()
     batch_size = 24
     for i in range(1, num_gpus + 1):
         if batch_size % i == 0:
@@ -1506,17 +1511,19 @@ def __init__(self, b1, b2):
     c.load_parameters(param_path)
 
 @with_seed()
-def test_symbol_block_save_load():
+def test_symbol_block_save_load(tmpdir):
+    tmp = str(tmpdir)
+    tmpfile = os.path.join(tmp, 'resnet34_fp64')
+
     class Net(gluon.HybridBlock):
         def __init__(self):
             super(Net, self).__init__()
             backbone = gluon.model_zoo.vision.resnet18_v1()
-            data = mx.sym.var('data')
-            featnames = [backbone.features[i][1].name for i in range(4, 7)]
-            out_names = ['_'.join([featname, 'activation0_output']) for featname in featnames]
-            internals = backbone(data).get_internals()
-            outs = [internals[out_name] for out_name in out_names]
-            self.backbone = gluon.SymbolBlock(outs, data, params=backbone.collect_params())
+            backbone.initialize()
+            backbone.hybridize()
+            backbone(mx.nd.random.normal(shape=(1, 3, 32, 32)))
+            sym_file, params_file = backbone.export(tmpfile)
+            self.backbone = gluon.SymbolBlock.imports(sym_file, 'data', params_file)
             self.body = nn.Conv2D(3, 1)
 
         def hybrid_forward(self, F, x):
@@ -1527,10 +1534,11 @@ def hybrid_forward(self, F, x):
     net1.initialize(mx.init.Normal())
     net1.hybridize()
     net1(mx.nd.random.normal(shape=(1, 3, 32, 32)))
-    net1.save_parameters('./test_symbol_block_save_load.params')
 
+    params_file = os.path.join(tmp, './test_symbol_block_save_load.params')
+    net1.save_parameters(params_file)
     net2 = Net()
-    net2.load_parameters('./test_symbol_block_save_load.params', ctx=mx.cpu())
+    net2.load_parameters(params_file)
 
 
 @with_seed()
@@ -1583,21 +1591,12 @@ def _test_multi_reset(nArrays, dtype, ctx):
         for type in [testedTypes] + testedTypes:
             _test_multi_reset(np.random.randint(1, 50), type, ctx)
 
-    # Saving value of environment variable, if it was defined
-    envVarKey = 'MXNET_STORAGE_FALLBACK_LOG_VERBOSE'
-    envVarValue = os.environ[envVarKey] if envVarKey in os.environ else None
-    # Changing value of environment variable
-    os.environ[envVarKey] = '0'
-    for type in ['float16', 'float32', 'float64']:
-        for embType in ['float32', 'float64']:
-            for sparse in [True, False]:
-                _test_grad_reset(ctx, dtype=type, sparse=sparse, embeddingType=embType)
-
-    # Remove or restore the value of environment variable
-    if envVarValue is None:
-        del os.environ[envVarKey]
-    else:
-        os.environ[envVarKey] = envVarValue
+    with environment('MXNET_STORAGE_FALLBACK_LOG_VERBOSE', '0'):
+        for type in ['float16', 'float32', 'float64']:
+            for embType in ['float32', 'float64']:
+                for sparse in [True, False]:
+                    _test_grad_reset(ctx, dtype=type, sparse=sparse, embeddingType=embType)
+
 
 def check_hybrid_static_memory(**kwargs):
     x = mx.nd.random.uniform(shape=(2, 3, 32, 32))
@@ -1721,21 +1720,21 @@ def mon_callback(node_name, opr_name, arr):
     model.add(mx.gluon.nn.Dense(2))
     model.initialize()
     model.hybridize()
-    check_name(model, [model[0].name + "_fwd_output"])
+    check_name(model, ["hybridsequential_dense0_fwd_output"])
 
     # Test with Activation, FListInputNames not registered, input name will have _input appended
     model = mx.gluon.nn.HybridSequential()
     model.add(mx.gluon.nn.Activation("relu"))
     model.initialize()
     model.hybridize()
-    check_name(model, [model[0].name + "_fwd_output"])
+    check_name(model, ["hybridsequential_activation0_fwd_output"])
 
     # Test with Pooling, monitor_all is set to True
     model = mx.gluon.nn.HybridSequential()
     model.add(mx.gluon.nn.AvgPool1D())
     model.initialize()
     model.hybridize()
-    check_name(model, [model[0].name + '_fwd_data', model[0].name + '_fwd_output'], 
+    check_name(model, ['hybridsequential_avgpool1d0_fwd_data', 'hybridsequential_avgpool1d0_fwd_output'], 
                expected_opr_names=["Pooling"], monitor_all=True)
 
     # stack two layers and test
@@ -1745,16 +1744,16 @@ def mon_callback(node_name, opr_name, arr):
     model.initialize()
     model.hybridize()
     check_name(model,
-               [model[0].name + '_fwd_data', model[0].name + '_fwd_weight',
-                model[0].name + '_fwd_bias', model[0].name + '_fwd_output',
-                model[1].name + '_fwd_input0', model[1].name + '_fwd_output'], monitor_all=True)
+               ['hybridsequential_dense0_fwd_data', 'hybridsequential_dense0_fwd_weight',
+                'hybridsequential_dense0_fwd_bias', 'hybridsequential_dense0_fwd_output',
+                'hybridsequential_activation0_fwd_input0', 'hybridsequential_activation0_fwd_output'], monitor_all=True)
 
     # check with different hybridize modes
     model.hybridize(static_alloc=True)
     check_name(model,
-               [model[0].name + '_fwd_data', model[0].name + '_fwd_weight',
-                model[0].name + '_fwd_bias', model[0].name + '_fwd_output',
-                model[1].name + '_fwd_input0', model[1].name + '_fwd_output'], monitor_all=True)
+               ['hybridsequential_dense0_fwd_data', 'hybridsequential_dense0_fwd_weight',
+                'hybridsequential_dense0_fwd_bias', 'hybridsequential_dense0_fwd_output',
+                'hybridsequential_activation0_fwd_input0', 'hybridsequential_activation0_fwd_output'], monitor_all=True)
 
 @with_seed()
 def test_apply():
@@ -1962,10 +1961,10 @@ def hybrid_forward(self, F, x):
     check_layer_forward_withinput(net, x)
 
 @with_seed()
-def test_group_conv2d_16c():
-    grp_list = [16]
+@pytest.mark.parametrize('grp', [16])
+@pytest.mark.parametrize('kernel_size', [1, 3])
+def test_group_conv2d_16c(grp, kernel_size):
     input_size_list = np.random.randint(low=3, high=65, size=10).tolist()
-    kernel_list = [1, 3]
     batch_size = 4
     class Net(gluon.HybridBlock):
         def __init__(self,
@@ -1983,10 +1982,8 @@ def hybrid_forward(self, F, x):
 
     for i in range(len(input_size_list)):
         x = mx.nd.random.uniform(-1.0, 1.0, shape=(batch_size, 3, input_size_list[i], input_size_list[i]))
-        for j in range(len(grp_list)):
-            for k in range(len(kernel_list)):
-                net = Net(grp_list[j], kernel_list[k])
-                check_layer_forward_withinput(net, x)
+        net = Net(grp, kernel_size)
+        check_layer_forward_withinput(net, x)
 
 @with_seed()
 @pytest.mark.skip(reason='skippping temporarily, tracked by https://github.com/apache/incubator-mxnet/issues/11164')
diff --git a/tests/python/unittest/test_gluon_contrib.py b/tests/python/unittest/test_gluon_contrib.py
index 33ea1e495e91..f3c7000c1e90 100644
--- a/tests/python/unittest/test_gluon_contrib.py
+++ b/tests/python/unittest/test_gluon_contrib.py
@@ -35,7 +35,7 @@ def check_rnn_cell(cell, in_shape=(10, 50), out_shape=(10, 100), begin_state=Non
     outputs = mx.sym.Group(outputs)
     assert sorted(cell.collect_params().keys()) == ['h2h_bias', 'h2h_weight',
                                                     'i2h_bias', 'i2h_weight']
-    assert outputs.list_outputs() == [cell.name + name for name in ['_t0_out_output', '_t1_out_output', '_t2_out_output']]
+    assert outputs.list_outputs() == [type(cell).__name__.lower() + name for name in ['_t0_out_output', '_t1_out_output', '_t2_out_output']]
 
     args, outs, auxs = outputs.infer_shape(rnn_t0_data=in_shape,
                                            rnn_t1_data=in_shape,
@@ -121,7 +121,7 @@ def test_lstmp():
     outputs, _ = cell.unroll(3, inputs)
     outputs = mx.sym.Group(outputs)
     expected_params = ['h2h_bias', 'h2h_weight', 'h2r_weight', 'i2h_bias', 'i2h_weight']
-    expected_outputs = [cell.name + name for name in ['_t0_out_output', '_t1_out_output', '_t2_out_output']]
+    expected_outputs = [type(cell).__name__.lower() + name for name in ['_t0_out_output', '_t1_out_output', '_t2_out_output']]
     assert sorted(cell.collect_params().keys()) == expected_params
     assert outputs.list_outputs() == expected_outputs, outputs.list_outputs()
 
diff --git a/tests/python/unittest/test_gluon_data.py b/tests/python/unittest/test_gluon_data.py
index b1571cc4ae35..b68d03f697fc 100644
--- a/tests/python/unittest/test_gluon_data.py
+++ b/tests/python/unittest/test_gluon_data.py
@@ -364,7 +364,7 @@ def test_multi_worker_dataloader_release_pool():
         del the_iter
         del D
 
-
+@with_seed()
 def test_dataloader_context():
     X = np.random.uniform(size=(10, 20))
     dataset = gluon.data.ArrayDataset(X)
@@ -381,11 +381,14 @@ def test_dataloader_context():
     for _, x in enumerate(loader2):
         assert x.context == context.cpu_pinned(default_dev_id)
 
-    # use pinned memory with custom device id
-    loader3 = gluon.data.DataLoader(dataset, 8, pin_memory=True,
-                                    pin_device_id=custom_dev_id)
-    for _, x in enumerate(loader3):
-        assert x.context == context.cpu_pinned(custom_dev_id)
+    if mx.context.num_gpus() <= 1:
+        print('Bypassing custom_dev_id pinned mem test on system with < 2 gpus.')
+    else:
+        # use pinned memory with custom device id
+        loader3 = gluon.data.DataLoader(dataset, 8, pin_memory=True,
+                                        pin_device_id=custom_dev_id)
+        for _, x in enumerate(loader3):
+            assert x.context == context.cpu_pinned(custom_dev_id)
 
 def batchify(a):
     return a
diff --git a/tests/python/unittest/test_gluon_indexing.py b/tests/python/unittest/test_gluon_indexing.py
new file mode 100644
index 000000000000..6886331f03d9
--- /dev/null
+++ b/tests/python/unittest/test_gluon_indexing.py
@@ -0,0 +1,104 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+import pytest
+import numpy as np
+import mxnet as mx
+from mxnet.gluon import HybridBlock
+
+def test_getitem_hybridized():
+    class picking_np(HybridBlock):
+        def __init__(self, **kwargs):
+            super(picking_np, self).__init__(**kwargs)
+        def hybrid_forward(self, F, sequence, pick_ids):
+            """
+            new implementation in deep numpy
+            """
+            idx_arange = F.npx.arange_like(pick_ids.reshape((-1, )), axis=0)
+            batch_idx = F.np.floor(idx_arange / 2).astype(np.int32)
+
+            encoded = sequence[batch_idx, pick_ids.reshape((-1,))]
+            encoded = F.npx.reshape_like(encoded, pick_ids, lhs_begin=-2, lhs_end=-1, rhs_begin=0)
+            return encoded
+
+    sequence = mx.nd.array(np.random.normal(0, 1, (8, 32, 768)), dtype=np.float32)
+    # pick_ids: [batch_size, picked_index]
+    pick_ids = mx.nd.random.randint(0, 32, (8,2), dtype=np.int32)
+
+    mx.npx.set_np()
+    picker_np = picking_np()
+    seq_np = sequence.as_np_ndarray()
+    np_output = picker_np(seq_np, pick_ids.as_np_ndarray())
+    seq_np.attach_grad()
+    with mx.autograd.record():
+        z = picker_np(seq_np, pick_ids.as_np_ndarray())
+    z.backward()
+
+    picker_np.initialize()
+    picker_np.hybridize()
+    nd_output_hybridized = picker_np(sequence.as_np_ndarray(), pick_ids.as_np_ndarray())
+    seq_np_hybridized = sequence.as_np_ndarray()
+    seq_np_hybridized.attach_grad()
+    with mx.autograd.record():
+        z_hybridized = picker_np(seq_np_hybridized, pick_ids.as_np_ndarray())
+    z_hybridized.backward()
+    mx.npx.reset_np()
+
+    mx.test_utils.assert_almost_equal(nd_output_hybridized.asnumpy(), np_output.asnumpy())
+    mx.test_utils.assert_almost_equal(seq_np.grad.asnumpy(), seq_np_hybridized.grad.asnumpy())
+
+def test_getitem_hybridized_no_F_argument():
+    class picking_np(HybridBlock):
+        def __init__(self, **kwargs):
+            super(picking_np, self).__init__(**kwargs)
+        def forward(self, sequence, pick_ids):
+            """
+            new implementation in deep numpy
+            """
+            idx_arange = mx.npx.arange_like(pick_ids.reshape((-1, )), axis=0)
+            batch_idx = np.floor(idx_arange / 2).astype(np.int32)
+
+            encoded = sequence[batch_idx, pick_ids.reshape((-1,))]
+            encoded = mx.npx.reshape_like(encoded, pick_ids, lhs_begin=-2, lhs_end=-1, rhs_begin=0)
+            return encoded
+
+    sequence = mx.nd.array(np.random.normal(0, 1, (8, 32, 768)), dtype=np.float32)
+    # pick_ids: [batch_size, picked_index]
+    pick_ids = mx.nd.random.randint(0, 32, (8,2), dtype=np.int32)
+
+    mx.npx.set_np()
+    picker_np = picking_np()
+    seq_np = sequence.as_np_ndarray()
+    np_output = picker_np(seq_np, pick_ids.as_np_ndarray())
+    seq_np.attach_grad()
+    with mx.autograd.record():
+        z = picker_np(seq_np, pick_ids.as_np_ndarray())
+    z.backward()
+
+    picker_np.initialize()
+    picker_np.hybridize()
+    nd_output_hybridized = picker_np(sequence.as_np_ndarray(), pick_ids.as_np_ndarray())
+    seq_np_hybridized = sequence.as_np_ndarray()
+    seq_np_hybridized.attach_grad()
+    with mx.autograd.record():
+        z_hybridized = picker_np(seq_np_hybridized, pick_ids.as_np_ndarray())
+    z_hybridized.backward()
+    mx.npx.reset_np()
+
+    mx.test_utils.assert_almost_equal(nd_output_hybridized.asnumpy(), np_output.asnumpy())
+    mx.test_utils.assert_almost_equal(z_hybridized.asnumpy(), np_output.asnumpy())
+    mx.test_utils.assert_almost_equal(seq_np.grad.asnumpy(), seq_np_hybridized.grad.asnumpy())
diff --git a/tests/python/unittest/test_gluon_probability_v1.py b/tests/python/unittest/test_gluon_probability_v1.py
index 92721f610495..82395ddf86f5 100644
--- a/tests/python/unittest/test_gluon_probability_v1.py
+++ b/tests/python/unittest/test_gluon_probability_v1.py
@@ -341,7 +341,7 @@ def hybrid_forward(self, F, loc, scale, *args):
     for shape, hybridize in itertools.product(shapes, [True, False]):
         loc = np.random.uniform(-1, 1, shape)
         scale = np.random.uniform(0.5, 1.5, shape)
-        samples = np.random.uniform(size=shape)
+        samples = np.random.uniform(size=shape, low=1e-4, high=1.0-1e-4)
         net = TestCauchy("icdf")
         if hybridize:
             net.hybridize()
@@ -417,7 +417,7 @@ def hybrid_forward(self, F, scale, *args):
     # Test icdf
     for shape, hybridize in itertools.product(shapes, [True, False]):
         scale = np.random.uniform(0.5, 1.5, shape)
-        samples = np.random.uniform(size=shape)
+        samples = np.random.uniform(size=shape, high=1.0-1e-4)
         net = TestHalfCauchy("icdf")
         if hybridize:
             net.hybridize()
@@ -540,7 +540,7 @@ def hybrid_forward(self, F, n, params, *args):
     # Test log_prob
     for shape, hybridize, use_logit in itertools.product(shapes, [True, False], [True, False]):
         n = np.random.randint(1, 10, size=shape).astype('float32')
-        prob = np.random.uniform(low=0.1, size=shape)
+        prob = np.random.uniform(low=0.1, size=shape).astype('float32')
         sample = np.random.randint(0, 10, size=shape).astype('float32')
         param = prob
         if use_logit:
@@ -559,7 +559,7 @@ def hybrid_forward(self, F, n, params, *args):
         for func in ['mean', 'variance']:
             for use_logit in [True, False]:
                 n = np.random.randint(1, 10, size=shape).astype('float32')
-                prob = np.random.uniform(low=0.1, size=shape)
+                prob = np.random.uniform(low=0.1, size=shape).astype('float32')
                 net = TestNegativeBinomial(func, use_logit)
                 param = prob
                 if use_logit:
@@ -837,7 +837,7 @@ def hybrid_forward(self, F, alpha, *args):
             dirichlet = mgp.Dirichlet(alpha, F, validate_args=True)
             return _distribution_method_invoker(dirichlet, self._func, *args)
 
-    event_shapes = [2, 5, 10]
+    event_shapes = [2, 4, 6]
     batch_shapes = [None, (2, 3)]
 
     # Test sampling
@@ -845,7 +845,7 @@ def hybrid_forward(self, F, alpha, *args):
         for hybridize in [True, False]:
             desired_shape = (
                 batch_shape if batch_shape is not None else ()) + (event_shape,)
-            alpha = np.random.uniform(size=desired_shape)
+            alpha = np.random.uniform(1.0, 5.0, size=desired_shape)
             net = TestDirichlet("sample")
             if hybridize:
                 net.hybridize()
@@ -862,9 +862,9 @@ def hybrid_forward(self, F, alpha, *args):
         for hybridize in [True, False]:
             desired_shape = (
                 batch_shape if batch_shape is not None else ()) + (event_shape,)
-            alpha = np.random.uniform(size=desired_shape)
+            alpha = np.random.uniform(1.0, 5.0, desired_shape)
             np_samples = _np.random.dirichlet(
-                [1 / event_shape] * event_shape, size=batch_shape)
+                [10.0 / event_shape] * event_shape, size=batch_shape)
             net = TestDirichlet("log_prob")
             if hybridize:
                 net.hybridize()
@@ -879,7 +879,7 @@ def hybrid_forward(self, F, alpha, *args):
             for func in ['mean', 'variance', 'entropy']:
                 desired_shape = (
                     batch_shape if batch_shape is not None else ()) + (event_shape,)
-                alpha = np.random.uniform(size=desired_shape)
+                alpha = np.random.uniform(1.0, 5.0, desired_shape)
                 net = TestDirichlet(func)
                 if hybridize:
                     net.hybridize()
@@ -1727,15 +1727,15 @@ def _stable_inv(cov):
                     net.hybridize()
                 mx_out = net(loc, cov_param, samples)
                 assert mx_out.shape == samples.shape[:-1]
-                # Select the first element in the batch, because scipy does not support batching.
-                loc_t = loc.reshape(-1, event_shape)[0].asnumpy()
-                sigma_t = sigma.reshape(-1, event_shape,
-                                        event_shape)[0].asnumpy()
                 if mx_out.shape == ():
                     mx_out_t = mx_out.asnumpy()
                 else:
                     mx_out_t = mx_out.flatten()[0].asnumpy()
                 samples_t = samples.reshape(-1, event_shape).asnumpy()[0]
+                # Select the first element in the batch, because scipy does not support batching.
+                loc_t = loc.reshape(-1, event_shape)[0].asnumpy()
+                sigma_t = sigma.reshape(-1, event_shape,
+                                        event_shape)[0].asnumpy()
                 scipy_mvn = ss.multivariate_normal(loc_t, sigma_t)
                 ss_out = scipy_mvn.logpdf(samples_t)
                 assert_almost_equal(mx_out_t, ss_out, atol=1e-4,
@@ -1758,14 +1758,14 @@ def _stable_inv(cov):
                     net.hybridize()
                 mx_out = net(loc, cov_param)
                 assert mx_out.shape == sigma.shape[:-2]
-                # Select the first element in the batch, because scipy does not support batching.
-                loc_t = loc.reshape(-1, event_shape)[0].asnumpy()
-                sigma_t = sigma.reshape(-1, event_shape,
-                                        event_shape)[0].asnumpy()
                 if mx_out.shape == ():
                     mx_out_t = mx_out.asnumpy()
                 else:
                     mx_out_t = mx_out.flatten()[0].asnumpy()
+                # Select the first element in the batch, because scipy does not support batching.
+                loc_t = loc.reshape(-1, event_shape)[0].asnumpy()
+                sigma_t = sigma.reshape(-1, event_shape,
+                                        event_shape)[0].asnumpy()
                 scipy_mvn = ss.multivariate_normal(loc_t, sigma_t)
                 ss_out = scipy_mvn.entropy()
                 assert_almost_equal(mx_out_t, ss_out, atol=1e-4,
@@ -2015,7 +2015,7 @@ def hybrid_forward(self, F, logit, *args):
 def test_gluon_kl_v1():
     def _test_zero_kl(p, shape):
         """Check if KL(p || p) = 0
-        
+
         Parameters
         ----------
         p : Distribution
@@ -2084,7 +2084,7 @@ def rate(): return np.random.uniform(0.5, 1.5, shape)
     # exponential, geometric
     for dist in [mgp.Exponential, mgp.Geometric]:
         for shape in shapes:
-            def s(): return np.random.uniform(size=shape)
+            def s(): return np.random.uniform(size=shape, low=1e-3)
             _test_zero_kl(_dist_factory(dist, s), shape)
             if monte_carlo_test:
                 _test_monte_carlo(_dist_factory(dist, s),
diff --git a/tests/python/unittest/test_gluon_probability_v2.py b/tests/python/unittest/test_gluon_probability_v2.py
index 9a36b4fc7056..dc8ac1476ea9 100644
--- a/tests/python/unittest/test_gluon_probability_v2.py
+++ b/tests/python/unittest/test_gluon_probability_v2.py
@@ -341,7 +341,7 @@ def forward(self, loc, scale, *args):
     for shape, hybridize in itertools.product(shapes, [True, False]):
         loc = np.random.uniform(-1, 1, shape)
         scale = np.random.uniform(0.5, 1.5, shape)
-        samples = np.random.uniform(size=shape)
+        samples = np.random.uniform(size=shape, low=1e-4, high=1.0-1e-4)
         net = TestCauchy("icdf")
         if hybridize:
             net.hybridize()
@@ -417,7 +417,7 @@ def forward(self, scale, *args):
     # Test icdf
     for shape, hybridize in itertools.product(shapes, [True, False]):
         scale = np.random.uniform(0.5, 1.5, shape)
-        samples = np.random.uniform(size=shape)
+        samples = np.random.uniform(size=shape, high=1.0-1e-4)
         net = TestHalfCauchy("icdf")
         if hybridize:
             net.hybridize()
@@ -837,7 +837,7 @@ def forward(self, alpha, *args):
             dirichlet = mgp.Dirichlet(alpha, validate_args=True)
             return _distribution_method_invoker(dirichlet, self._func, *args)
 
-    event_shapes = [2, 5, 10]
+    event_shapes = [2, 4, 6]
     batch_shapes = [None, (2, 3)]
 
     # Test sampling
@@ -845,7 +845,7 @@ def forward(self, alpha, *args):
         for hybridize in [True, False]:
             desired_shape = (
                 batch_shape if batch_shape is not None else ()) + (event_shape,)
-            alpha = np.random.uniform(size=desired_shape)
+            alpha = np.random.uniform(1.0, 5.0, size=desired_shape)
             net = TestDirichlet("sample")
             if hybridize:
                 net.hybridize()
@@ -862,9 +862,9 @@ def forward(self, alpha, *args):
         for hybridize in [True, False]:
             desired_shape = (
                 batch_shape if batch_shape is not None else ()) + (event_shape,)
-            alpha = np.random.uniform(size=desired_shape)
+            alpha = np.random.uniform(1.0, 5.0, size=desired_shape)
             np_samples = _np.random.dirichlet(
-                [1 / event_shape] * event_shape, size=batch_shape)
+                [10.0 / event_shape] * event_shape, size=batch_shape)
             net = TestDirichlet("log_prob")
             if hybridize:
                 net.hybridize()
@@ -879,7 +879,7 @@ def forward(self, alpha, *args):
             for func in ['mean', 'variance', 'entropy']:
                 desired_shape = (
                     batch_shape if batch_shape is not None else ()) + (event_shape,)
-                alpha = np.random.uniform(size=desired_shape)
+                alpha = np.random.uniform(1.0, 5.0, desired_shape)
                 net = TestDirichlet(func)
                 if hybridize:
                     net.hybridize()
@@ -1727,14 +1727,14 @@ def _stable_inv(cov):
                     net.hybridize()
                 mx_out = net(loc, cov_param, samples)
                 assert mx_out.shape == samples.shape[:-1]
-                # Select the first element in the batch, because scipy does not support batching.
-                loc_t = loc.reshape(-1, event_shape)[0].asnumpy()
-                sigma_t = sigma.reshape(-1, event_shape,
-                                        event_shape)[0].asnumpy()
                 if mx_out.shape == ():
                     mx_out_t = mx_out.asnumpy()
                 else:
                     mx_out_t = mx_out.asnumpy().flatten()[0]
+                # Select the first element in the batch, because scipy does not support batching.
+                loc_t = loc.reshape(-1, event_shape)[0].asnumpy()
+                sigma_t = sigma.reshape(-1, event_shape,
+                                        event_shape)[0].asnumpy()
                 samples_t = samples.reshape(-1, event_shape).asnumpy()[0]
                 scipy_mvn = ss.multivariate_normal(loc_t, sigma_t)
                 ss_out = scipy_mvn.logpdf(samples_t)
@@ -1758,14 +1758,14 @@ def _stable_inv(cov):
                     net.hybridize()
                 mx_out = net(loc, cov_param)
                 assert mx_out.shape == sigma.shape[:-2]
-                # Select the first element in the batch, because scipy does not support batching.
-                loc_t = loc.reshape(-1, event_shape)[0].asnumpy()
-                sigma_t = sigma.reshape(-1, event_shape,
-                                        event_shape)[0].asnumpy()
                 if mx_out.shape == ():
                     mx_out_t = mx_out.asnumpy()
                 else:
                     mx_out_t = mx_out.asnumpy().flatten()[0]
+                # Select the first element in the batch, because scipy does not support batching.
+                loc_t = loc.reshape(-1, event_shape)[0].asnumpy()
+                sigma_t = sigma.reshape(-1, event_shape,
+                                        event_shape)[0].asnumpy()
                 scipy_mvn = ss.multivariate_normal(loc_t, sigma_t)
                 ss_out = scipy_mvn.entropy()
                 assert_almost_equal(mx_out_t, ss_out, atol=1e-4,
@@ -2081,10 +2081,11 @@ def rate(): return np.random.uniform(0.5, 1.5, shape)
                               _dist_factory(dist, rate),
                               repeated_times)
 
+
     # exponential, geometric
     for dist in [mgp.Exponential, mgp.Geometric]:
         for shape in shapes:
-            def s(): return np.random.uniform(size=shape)
+            def s(): return np.random.uniform(size=shape, low=1e-3)
             _test_zero_kl(_dist_factory(dist, s), shape)
             if monte_carlo_test:
                 _test_monte_carlo(_dist_factory(dist, s),
diff --git a/tests/python/unittest/test_gluon_rnn.py b/tests/python/unittest/test_gluon_rnn.py
index 933c2c17d95f..fbb7070eaa34 100644
--- a/tests/python/unittest/test_gluon_rnn.py
+++ b/tests/python/unittest/test_gluon_rnn.py
@@ -52,8 +52,10 @@ def test_rnn():
     outputs = mx.sym.Group(outputs)
     assert sorted(cell.collect_params().keys()) == ['h2h_bias', 'h2h_weight',
                                                     'i2h_bias', 'i2h_weight']
-    assert outputs.list_outputs() == \
-        [cell.name + name for name in ['_t0_out_output', '_t1_out_output', '_t2_out_output']]
+    assert outputs.list_outputs() == [
+        'rnncell_t0_out_output', 'rnncell_t1_out_output',
+        'rnncell_t2_out_output'
+    ]
 
     args, outs, auxs = outputs.infer_shape(t0_data=(10,50), t1_data=(10,50), t2_data=(10,50))
     assert outs == [(10, 100), (10, 100), (10, 100)]
@@ -65,8 +67,10 @@ def test_lstm():
     outputs, _ = cell.unroll(3, inputs)
     outputs = mx.sym.Group(outputs)
     assert sorted(cell.collect_params().keys()) == ['h2h_bias', 'h2h_weight', 'i2h_bias', 'i2h_weight']
-    assert outputs.list_outputs() == \
-        [cell.name + name for name in ['_t0_out_output', '_t1_out_output', '_t2_out_output']]
+    assert outputs.list_outputs() == [
+        'lstmcell_t0_out_output', 'lstmcell_t1_out_output',
+        'lstmcell_t2_out_output'
+    ]
 
     args, outs, auxs = outputs.infer_shape(t0_data=(10,50), t1_data=(10,50), t2_data=(10,50))
     assert outs == [(10, 100), (10, 100), (10, 100)]
@@ -171,8 +175,10 @@ def test_gru():
     outputs, _ = cell.unroll(3, inputs)
     outputs = mx.sym.Group(outputs)
     assert sorted(cell.collect_params().keys()) == ['h2h_bias', 'h2h_weight', 'i2h_bias', 'i2h_weight']
-    assert outputs.list_outputs() == \
-        [cell.name + name for name in ['_t0_out_output', '_t1_out_output', '_t2_out_output']]
+    assert outputs.list_outputs() == [
+        'grucell_t0_out_output', 'grucell_t1_out_output',
+        'grucell_t2_out_output'
+    ]
 
     args, outs, auxs = outputs.infer_shape(t0_data=(10,50), t1_data=(10,50), t2_data=(10,50))
     assert outs == [(10, 100), (10, 100), (10, 100)]
@@ -187,17 +193,15 @@ def test_residual():
     params = cell.collect_params()
     assert sorted(params.keys()) == \
            ['base_cell.h2h_bias', 'base_cell.h2h_weight', 'base_cell.i2h_bias', 'base_cell.i2h_weight']
-    # assert outputs.list_outputs() == \
-    #        ['rnn_t0_out_plus_residual_output', 'rnn_t1_out_plus_residual_output']
 
     args, outs, auxs = outputs.infer_shape(t0_data=(10, 50), t1_data=(10, 50))
     assert outs == [(10, 50), (10, 50)]
-    outputs = outputs.eval(**{'t0_data':mx.nd.ones((10, 50)),
-                              't1_data':mx.nd.ones((10, 50)),
-                              params['base_cell.i2h_weight'].name:mx.nd.zeros((150, 50)),
-                              params['base_cell.i2h_bias'].name:mx.nd.zeros((150,)),
-                              params['base_cell.h2h_weight'].name:mx.nd.zeros((150, 50)),
-                              params['base_cell.h2h_bias'].name:mx.nd.zeros((150,))})
+    outputs = outputs.eval(**{'t0_data': mx.nd.ones((10, 50)),
+                              't1_data': mx.nd.ones((10, 50)),
+                              cell.base_cell.i2h_weight.var().name: mx.nd.zeros((150, 50)),
+                              cell.base_cell.i2h_bias.var().name: mx.nd.zeros((150, )),
+                              cell.base_cell.h2h_weight.var().name: mx.nd.zeros((150, 50)),
+                              cell.base_cell.h2h_bias.var().name: mx.nd.zeros((150, ))})
     expected_outputs = np.ones((10, 50))
     assert np.array_equal(outputs[0].asnumpy(), expected_outputs)
     assert np.array_equal(outputs[1].asnumpy(), expected_outputs)
@@ -212,11 +216,11 @@ def test_residual_bidirectional():
     inputs = [mx.sym.Variable('rnn_t%d_data'%i) for i in range(2)]
     outputs, _ = cell.unroll(2, inputs, merge_outputs=False)
     outputs = mx.sym.Group(outputs)
-    params = cell.collect_params() 
+    params = cell.collect_params()
     assert sorted(params.keys()) == \
-           ['base_cell.l_cell.h2h_bias', 'base_cell.l_cell.h2h_weight', 
+           ['base_cell.l_cell.h2h_bias', 'base_cell.l_cell.h2h_weight',
             'base_cell.l_cell.i2h_bias', 'base_cell.l_cell.i2h_weight',
-            'base_cell.r_cell.h2h_bias', 'base_cell.r_cell.h2h_weight', 
+            'base_cell.r_cell.h2h_bias', 'base_cell.r_cell.h2h_weight',
             'base_cell.r_cell.i2h_bias', 'base_cell.r_cell.i2h_weight']
     # assert outputs.list_outputs() == \
     #        ['bi_t0_plus_residual_output', 'bi_t1_plus_residual_output']
@@ -225,14 +229,14 @@ def test_residual_bidirectional():
     assert outs == [(10, 50), (10, 50)]
     outputs = outputs.eval(**{'rnn_t0_data':mx.nd.ones((10, 50))+5,
                               'rnn_t1_data':mx.nd.ones((10, 50))+5,
-                              params['base_cell.l_cell.i2h_weight'].name:mx.nd.zeros((75, 50)),
-                              params['base_cell.l_cell.i2h_bias'].name:mx.nd.zeros((75,)),
-                              params['base_cell.l_cell.h2h_weight'].name:mx.nd.zeros((75, 25)),
-                              params['base_cell.l_cell.h2h_bias'].name:mx.nd.zeros((75,)),
-                              params['base_cell.r_cell.i2h_weight'].name:mx.nd.zeros((75, 50)),
-                              params['base_cell.r_cell.i2h_bias'].name:mx.nd.zeros((75,)),
-                              params['base_cell.r_cell.h2h_weight'].name:mx.nd.zeros((75, 25)),
-                              params['base_cell.r_cell.h2h_bias'].name:mx.nd.zeros((75,))})
+                              cell.base_cell.l_cell.i2h_weight.var().name:mx.nd.zeros((75, 50)),
+                              cell.base_cell.l_cell.i2h_bias.var().name:mx.nd.zeros((75,)),
+                              cell.base_cell.l_cell.h2h_weight.var().name:mx.nd.zeros((75, 25)),
+                              cell.base_cell.l_cell.h2h_bias.var().name:mx.nd.zeros((75,)),
+                              cell.base_cell.r_cell.i2h_weight.var().name:mx.nd.zeros((75, 50)),
+                              cell.base_cell.r_cell.i2h_bias.var().name:mx.nd.zeros((75,)),
+                              cell.base_cell.r_cell.h2h_weight.var().name:mx.nd.zeros((75, 25)),
+                              cell.base_cell.r_cell.h2h_bias.var().name:mx.nd.zeros((75,))})
     expected_outputs = np.ones((10, 50))+5
     assert np.array_equal(outputs[0].asnumpy(), expected_outputs)
     assert np.array_equal(outputs[1].asnumpy(), expected_outputs)
@@ -260,8 +264,7 @@ def test_stack():
     assert '1.base_cell.h2h_bias' in keys
     assert '1.base_cell.i2h_weight' in keys
     assert '1.base_cell.i2h_bias' in keys
-    assert outputs.list_outputs() == \
-        [cell[4].name + name for name in ['_t0_out_output', '_t1_out_output', '_t2_out_output']]
+    assert outputs.list_outputs() == ['lstmcell_t0_out_output', 'lstmcell_t1_out_output', 'lstmcell_t2_out_output']
 
     args, outs, auxs = outputs.infer_shape(t0_data=(10,50), t1_data=(10,50), t2_data=(10,50))
     assert outs == [(10, 100), (10, 100), (10, 100)]
@@ -290,8 +293,7 @@ def test_hybridstack():
     assert '1.base_cell.h2h_bias' in keys
     assert '1.base_cell.i2h_weight' in keys
     assert '1.base_cell.i2h_bias' in keys
-    assert outputs.list_outputs() == \
-        [cell[4].name + name for name in ['_t0_out_output', '_t1_out_output', '_t2_out_output']]
+    assert outputs.list_outputs() == ['lstmcell_t0_out_output', 'lstmcell_t1_out_output', 'lstmcell_t2_out_output']
 
     args, outs, auxs = outputs.infer_shape(t0_data=(10,50), t1_data=(10,50), t2_data=(10,50))
     assert outs == [(10, 100), (10, 100), (10, 100)]
@@ -533,7 +535,7 @@ def hybrid_forward(self, F, seq):
             symbol_file="./model-symbol.json",
             input_names=["data"],
             param_file="./model-0000.params",
-            ctx=mx.Context.default_ctx
+            ctx=mx.context.current_context()
         )
         output2 = symbol(input)
         assert_almost_equal(output1.asnumpy(), output2.asnumpy())
@@ -910,4 +912,3 @@ def hybrid_forward(self, F, inputs, valid_len):
 
     _check_bidirectional_unroll_valid_length(1)
     _check_bidirectional_unroll_valid_length(3)
-
diff --git a/tests/python/unittest/test_gluon_trainer.py b/tests/python/unittest/test_gluon_trainer.py
index 8cf78042411e..1e3a1028cf43 100644
--- a/tests/python/unittest/test_gluon_trainer.py
+++ b/tests/python/unittest/test_gluon_trainer.py
@@ -344,3 +344,18 @@ def test_gluon_trainer_param_order():
         expected_idx = 0 if name == 'ones_' else 1
         expected_name = '{}.weight'.format(expected_idx)
         assert trainer._params[expected_idx].name == params[expected_name].name
+
+
+def test_trainer_allreduce_hybridsequential():
+    contexts = [mx.cpu(0), mx.cpu(1)]
+    net = mx.gluon.nn.HybridSequential()
+    for _ in range(8):  # Create a network with 8 layers
+        net.add(mx.gluon.nn.Dense(1, weight_initializer='ones', bias_initializer='ones'))
+    net.initialize(ctx=contexts)
+    net.hybridize()
+    trainer = mx.gluon.Trainer(net.collect_params(), 'sgd', update_on_kvstore=False)
+    for ctx in contexts:
+        with mx.autograd.record():
+            out = net(mx.nd.ones((1, 1), ctx=ctx))
+        out.backward()
+    trainer.allreduce_grads()
diff --git a/tests/python/unittest/test_loss.py b/tests/python/unittest/test_loss.py
index 9c1d496d715e..80d8cde5050f 100644
--- a/tests/python/unittest/test_loss.py
+++ b/tests/python/unittest/test_loss.py
@@ -56,16 +56,6 @@ def test_loss_ndarray():
     assert_almost_equal(L, np.array([ 1.06346405,  0.04858733]), rtol=1e-3, atol=1e-4)
 
 
-def get_net(num_hidden, flatten=True):
-    data = mx.symbol.Variable('data')
-    fc1 = mx.symbol.FullyConnected(data, name='fc1', num_hidden=128, flatten=flatten)
-    act1 = mx.symbol.Activation(fc1, name='relu1', act_type="relu")
-    fc2 = mx.symbol.FullyConnected(act1, name = 'fc2', num_hidden = 64, flatten=flatten)
-    act2 = mx.symbol.Activation(fc2, name='relu2', act_type="relu")
-    fc3 = mx.symbol.FullyConnected(act2, name='fc3', num_hidden=num_hidden, flatten=flatten)
-    return fc3
-
-
 @with_seed()
 def test_bce_equal_ce2():
     N = 100
@@ -163,7 +153,7 @@ def test_cosine_loss():
     denominator = mx.nd.sqrt(mx.nd.sum(input1**2, axis=1, keepdims=True)) \
     * mx.nd.sqrt(mx.nd.sum(input2**2, axis=1, keepdims=True))
     numpy_loss = mx.nd.where(label == 1, 1-numerator/denominator, \
-    mx.nd.broadcast_maximum(mx.nd.array([0]), numerator/denominator, axis=1))
+    mx.nd.broadcast_maximum(mx.nd.array([0]), numerator/denominator, axis=1)).reshape((-1,))
     assert_almost_equal(loss.asnumpy(), numpy_loss.asnumpy(), rtol=1e-3, atol=1e-5)
 
 @xfail_when_nonstandard_decimal_separator
@@ -186,25 +176,23 @@ def test_poisson_nllloss():
     #Calculating by brute formula for default value of from_logits = True
 
     # 1) Testing for flag logits = True
-    brute_loss = np.mean(np.exp(pred.asnumpy()) - target.asnumpy() * pred.asnumpy())
+    brute_loss = np.mean(np.exp(pred.asnumpy()) - target.asnumpy() * pred.asnumpy(), axis=1)
     loss_withlogits = Loss(pred, target)
-    assert_almost_equal(brute_loss, loss_withlogits.asscalar())
+    assert_almost_equal(brute_loss, loss_withlogits)
 
     #2) Testing for flag logits = False
     loss_no_logits = Loss_no_logits(pred, target)
-    np_loss_no_logits = np.mean(pred.asnumpy() - target.asnumpy() * np.log(pred.asnumpy() + 1e-08))
-    if np.isnan(loss_no_logits.asscalar()):
-        assert_almost_equal(np.isnan(np_loss_no_logits), np.isnan(loss_no_logits.asscalar()))
-    else:
-        assert_almost_equal(np_loss_no_logits, loss_no_logits.asscalar())
+    np_loss_no_logits = np.mean(pred.asnumpy() - target.asnumpy() * np.log(pred.asnumpy() + 1e-08),
+                                axis=1)
+    assert_almost_equal(np_loss_no_logits, loss_no_logits.asnumpy())
 
     #3) Testing for Sterling approximation
     shape=(2, 3)
     np_pred = np.random.uniform(1, 5, shape)
     np_target = np.random.uniform(1, 5, shape)
     np_compute_full = np.mean((np_pred - np_target * np.log(np_pred + 1e-08)) + ((np_target * np.log(np_target)-\
-     np_target + 0.5 * np.log(2 * np_target * np.pi))*(np_target > 1)))
+     np_target + 0.5 * np.log(2 * np_target * np.pi))*(np_target > 1)), axis=1)
     Loss_compute_full = gluon.loss.PoissonNLLLoss(from_logits=False, compute_full=True)
     loss_compute_full = Loss_compute_full(mx.nd.array(np_pred), mx.nd.array(np_target))
-    assert_almost_equal(np_compute_full, loss_compute_full.asscalar())
+    assert_almost_equal(np_compute_full, loss_compute_full)
 
diff --git a/tests/python/unittest/test_memory_opt.py b/tests/python/unittest/test_memory_opt.py
index 0cc217ffff47..97d05ebfa8f9 100644
--- a/tests/python/unittest/test_memory_opt.py
+++ b/tests/python/unittest/test_memory_opt.py
@@ -19,40 +19,12 @@
 import mxnet as mx
 import os
 import sys
-
+from common import setup_module, teardown_module, with_environment
+from mxnet.test_utils import environment
 
 num_hidden = 4096
 
-
-def memory_opt_env_check(test_func):
-    # This decorator checks for th
-    def test_memory_opt_wrapper():
-        # Whether the underlying OS is Windows or not. Windows does not support
-        # setting environment variblae on the fly. In other words, statement
-        #
-        #     os.environ["MXNET_MEMORY_OPT"] = '1'
-        #
-        # will have NO effect because the C++ backend still sees
-        # `os.environ["MXNET_MEMORY_OPT"]` as NULL pointer.
-        #
-        # \sa test_operator.py:test_norm
-        is_windows = sys.platform.startswith('win')
-        do_memory_opt = True
-        if is_windows:
-            if "MXNET_MEMORY_OPT" not in os.environ:
-                do_memory_opt = False
-            else:
-                do_memory_opt = os.environ["MXNET_MEMORY_OPT"] == '1'
-        else:
-            os.environ["MXNET_MEMORY_OPT"] = '1'
-
-        if do_memory_opt:
-            test_func()
-            os.environ["MXNET_MEMORY_OPT"] = '0'
-    return test_memory_opt_wrapper
-
-
-@memory_opt_env_check
+@with_environment('MXNET_MEMORY_OPT', '1')
 def test_rnn_cell():
     # x →→→ + →→→ tanh ⇒⇒⇒
     #       ↑
@@ -70,7 +42,7 @@ def test_rnn_cell():
     exec = z._simple_bind(mx.cpu(), 'write', x=(num_hidden,), y=(num_hidden,))
 
 
-@memory_opt_env_check
+@with_environment('MXNET_MEMORY_OPT', '1')
 def test_mlp_attn():
     # x →→→ + →→→ tanh ⇒⇒⇒
     #       ↑ + →→→ tanh ⇒⇒⇒
@@ -93,7 +65,7 @@ def test_mlp_attn():
     exec = z._simple_bind(mx.cpu(), 'write', **in_arg_shapes)
 
 
-@memory_opt_env_check
+@with_environment('MXNET_MEMORY_OPT', '1')
 def test_fc():
     # x →→→ tanh ⇒⇒⇒ tanh  ⇒⇒⇒ FC
     #            →→→ tanh_ →→→
@@ -104,8 +76,3 @@ def test_fc():
     z = mx.sym.Activation(y, act_type='tanh', name='z')
     z = mx.sym.FullyConnected(z, num_hidden=num_hidden)
     exec = z._simple_bind(mx.cpu(), 'write', x=(num_hidden,))
-
-
-if __name__ == "__main__":
-    import nose
-    nose.runmodule()
diff --git a/tests/python/unittest/test_metric.py b/tests/python/unittest/test_metric.py
index 88b9d9cedce2..d66f4e97d708 100644
--- a/tests/python/unittest/test_metric.py
+++ b/tests/python/unittest/test_metric.py
@@ -39,19 +39,25 @@ def test_metrics():
     check_metric('perplexity', axis=-1)
     check_metric('pearsonr')
     check_metric('pcc')
-    check_metric('nll_loss')
+    check_metric('ce')
     check_metric('loss')
     composite = mx.gluon.metric.create(['acc', 'f1'])
     check_metric(composite)
 
-def test_nll_loss():
-    metric = mx.gluon.metric.create('nll_loss')
+def test_ce():
+    metric = mx.gluon.metric.create('ce')
     pred = mx.nd.array([[0.2, 0.3, 0.5], [0.6, 0.1, 0.3]])
     label = mx.nd.array([2, 1])
     metric.update([label], [pred])
     _, loss = metric.get()
     expected_loss = -(np.log(pred[0][2].asscalar()) + np.log(pred[1][1].asscalar())) / 2
     assert loss == expected_loss
+    metric = mx.gluon.metric.create('ce', from_logits=True)
+    pred = mx.nd.log(pred)
+    metric.update([label], [pred])
+    _, loss = metric.get()
+    np.testing.assert_almost_equal(loss, expected_loss)
+
 
 def test_acc():
     pred = mx.nd.array([[0.3, 0.7], [0, 1.], [0.4, 0.6]])
@@ -159,7 +165,7 @@ def test_multiclass_f1():
     macroF1.update([label11, label12], [pred11, pred12])
     assert microF1.num_inst == 6
     assert macroF1.num_inst == 6
-    
+
     # from sklearn.metrics import f1_score
     # overall_pred = [0, 1, 2, 0, 1, 2]
     # overall_label = [0, 2, 1, 0, 0, 1]
@@ -167,7 +173,7 @@ def test_multiclass_f1():
     fmicro = 0.3333333333333333 #f1_score(overall_label, overall_pred, average="micro")
     np.testing.assert_almost_equal(microF1.get()[1], fmicro)
     np.testing.assert_almost_equal(macroF1.get()[1], fmacro)
-    
+
 @xfail_when_nonstandard_decimal_separator
 def test_multilabel_f1():
     microF1 = mx.gluon.metric.create("f1", class_type="multilabel", average="micro")
@@ -183,7 +189,7 @@ def test_multilabel_f1():
     macroF1.update([label], [pred])
     microF1.update([label], [pred])
     assert macroF1.get()[1] == 0.5 # one class is 1.0, the other is 0. (divided by 0)
-    np.testing.assert_almost_equal(microF1.get()[1], 2.0 / 3)  
+    np.testing.assert_almost_equal(microF1.get()[1], 2.0 / 3)
     macroF1.reset()
     microF1.reset()
 
@@ -209,7 +215,7 @@ def test_mcc():
     microMCC = mx.gluon.metric.create("mcc")
 
     assert np.isnan(microMCC.get()[1])
-    
+
     # check divide by zero
     pred = mx.nd.array([[0.9, 0.1],
                         [0.8, 0.2]])
diff --git a/tests/python/unittest/test_ndarray.py b/tests/python/unittest/test_ndarray.py
index 2aab5c096ab9..a01746ee5e6f 100644
--- a/tests/python/unittest/test_ndarray.py
+++ b/tests/python/unittest/test_ndarray.py
@@ -24,7 +24,7 @@
 import random
 import functools
 import pytest
-from common import with_seed, assertRaises, TemporaryDirectory
+from common import with_seed, assertRaises, TemporaryDirectory, setup_module, teardown_module
 from mxnet.test_utils import almost_equal
 from mxnet.test_utils import assert_almost_equal, assert_exception
 from mxnet.test_utils import default_context
diff --git a/tests/python/unittest/test_numpy_contrib_gluon_data_vision.py b/tests/python/unittest/test_numpy_contrib_gluon_data_vision.py
index 9c9c7fd1ed56..8c3e76aac91c 100644
--- a/tests/python/unittest/test_numpy_contrib_gluon_data_vision.py
+++ b/tests/python/unittest/test_numpy_contrib_gluon_data_vision.py
@@ -19,7 +19,7 @@
 import numpy as np
 import scipy.ndimage
 from mxnet.test_utils import *
-from common import assertRaises, with_seed
+from common import assertRaises, with_seed, setup_module, teardown_module
 import shutil
 import tempfile
 import unittest
@@ -63,10 +63,11 @@ def tearDown(self):
             print("cleanup {}".format(self.IMAGES_DIR))
             shutil.rmtree(self.IMAGES_DIR)
 
+    @with_seed()
     @use_np
     def test_imageiter(self):
         im_list = [[np.random.randint(0, 5), x] for x in self.IMAGES]
-        fname = './data/test_imageiter.lst'
+        fname = './data/test_numpy_imageiter.lst'
         file_list = ['\t'.join([str(k), str(np.random.randint(0, 5)), x])
                         for k, x in enumerate(self.IMAGES)]
         with open(fname, 'w') as f:
@@ -95,6 +96,7 @@ def test_imageiter(self):
                     for batch in it:
                         pass
 
+    @with_seed()
     @use_np
     def test_image_bbox_iter(self):
         im_list = [_generate_objects() + [x] for x in self.IMAGES]
@@ -110,7 +112,7 @@ def test_image_bbox_iter(self):
             pass
 
         # test file list with last batch handle
-        fname = './data/test_imagedetiter.lst'
+        fname = './data/test_numpy_imagedetiter.lst'
         im_list = [[k] + _generate_objects() + [x] for k, x in enumerate(self.IMAGES)]
         with open(fname, 'w') as f:
             for line in im_list:
@@ -130,6 +132,7 @@ def test_image_bbox_iter(self):
                 path_imglist=fname, path_root='', last_batch='keep')
         ]
 
+    @with_seed()
     @use_np
     def test_bbox_augmenters(self):
         # only test if all augmenters will work
diff --git a/tests/python/unittest/test_numpy_default_dtype.py b/tests/python/unittest/test_numpy_default_dtype.py
index 3c70aade737d..906298036978 100644
--- a/tests/python/unittest/test_numpy_default_dtype.py
+++ b/tests/python/unittest/test_numpy_default_dtype.py
@@ -223,8 +223,3 @@ def check_deepnp_indices_default_dtype():
         
         check_deepnp_indices_default_dtype()
         check_np_indices_default_dtype()
-
-    
-if __name__ == '__main__':
-    import nose
-    nose.runmodule()
diff --git a/tests/python/unittest/test_numpy_interoperability.py b/tests/python/unittest/test_numpy_interoperability.py
index 8b50fc46f036..d6b5595036ad 100644
--- a/tests/python/unittest/test_numpy_interoperability.py
+++ b/tests/python/unittest/test_numpy_interoperability.py
@@ -29,7 +29,7 @@
 from mxnet.test_utils import assert_almost_equal
 from mxnet.test_utils import use_np
 from mxnet.test_utils import is_op_runnable
-from common import assertRaises, with_seed
+from common import assertRaises, with_seed, random_seed, setup_module, teardown_module
 from mxnet.numpy_dispatch_protocol import with_array_function_protocol, with_array_ufunc_protocol
 from mxnet.numpy_dispatch_protocol import _NUMPY_ARRAY_FUNCTION_LIST, _NUMPY_ARRAY_UFUNC_LIST
 
@@ -62,8 +62,15 @@ def add_workload(name, *args, **kwargs):
 
     @staticmethod
     def get_workloads(name):
+        if OpArgMngr._args == {}:
+            _prepare_workloads()
         return OpArgMngr._args.get(name, None)
 
+    @staticmethod
+    def randomize_workloads():
+        # Force a new _prepare_workloads(), which will be based on new random numbers
+        OpArgMngr._args = {}
+
 
 def _add_workload_all():
     # check bad element in all positions
@@ -516,9 +523,9 @@ def _add_workload_linalg_cholesky():
     shapes = [(1, 1), (2, 2), (3, 3), (50, 50), (3, 10, 10)]
     dtypes = (np.float32, np.float64)
 
-    for shape, dtype in itertools.product(shapes, dtypes):
-        _np.random.seed(1)
-        a = _np.random.randn(*shape)
+    with random_seed(1):
+        for shape, dtype in itertools.product(shapes, dtypes):
+            a = _np.random.randn(*shape)
 
         t = list(range(len(shape)))
         t[-2:] = -1, -2
@@ -2898,7 +2905,6 @@ def _add_workload_unwrap():
     phase[3:] += np.pi
     phase_s = np.vstack((phase,phase))
     OpArgMngr.add_workload('unwrap', phase)
-    print(phase_s.shape)
     OpArgMngr.add_workload('unwrap', phase_s, axis=1)
 
 
@@ -3184,9 +3190,6 @@ def _prepare_workloads():
     _add_workload_vander()
 
 
-_prepare_workloads()
-
-
 def _get_numpy_op_output(onp_op, *args, **kwargs):
     onp_args = [arg.asnumpy() if isinstance(arg, np.ndarray) else arg for arg in args]
     onp_kwargs = {k: v.asnumpy() if isinstance(v, np.ndarray) else v for k, v in kwargs.items()}
@@ -3198,7 +3201,7 @@ def _get_numpy_op_output(onp_op, *args, **kwargs):
     return onp_op(*onp_args, **onp_kwargs)
 
 
-def _check_interoperability_helper(op_name, *args, **kwargs):
+def _check_interoperability_helper(op_name, rel_tol, abs_tol, *args, **kwargs):
     strs = op_name.split('.')
     if len(strs) == 1:
         onp_op = getattr(_np, op_name)
@@ -3214,11 +3217,11 @@ def _check_interoperability_helper(op_name, *args, **kwargs):
         assert type(out) == type(expected_out)
         for arr, expected_arr in zip(out, expected_out):
             if isinstance(arr, np.ndarray):
-                assert_almost_equal(arr.asnumpy(), expected_arr, rtol=1e-3, atol=1e-4, use_broadcast=False, equal_nan=True)
+                assert_almost_equal(arr.asnumpy(), expected_arr, rtol=rel_tol, atol=abs_tol, use_broadcast=False, equal_nan=True)
             else:
                 _np.testing.assert_equal(arr, expected_arr)
     elif isinstance(out, np.ndarray):
-        assert_almost_equal(out.asnumpy(), expected_out, rtol=1e-3, atol=1e-4, use_broadcast=False, equal_nan=True)
+        assert_almost_equal(out.asnumpy(), expected_out, rtol=rel_tol, atol=abs_tol, use_broadcast=False, equal_nan=True)
     elif isinstance(out, _np.dtype):
         _np.testing.assert_equal(out, expected_out)
     else:
@@ -3230,6 +3233,7 @@ def _check_interoperability_helper(op_name, *args, **kwargs):
 
 
 def check_interoperability(op_list):
+    OpArgMngr.randomize_workloads()
     for name in op_list:
         if name in _TVM_OPS and not is_op_runnable():
             continue
@@ -3241,13 +3245,17 @@ def check_interoperability(op_list):
         if name in ['full_like', 'zeros_like', 'ones_like'] and \
                 StrictVersion(platform.python_version()) < StrictVersion('3.0.0'):
             continue
+        default_tols = (1e-3, 1e-4)
+        tols = {'linalg.tensorinv': (1e-2, 5e-3),
+                'linalg.solve':     (1e-3, 5e-2)}
+        (rel_tol, abs_tol) = tols.get(name, default_tols)
         print('Dispatch test:', name)
         workloads = OpArgMngr.get_workloads(name)
         assert workloads is not None, 'Workloads for operator `{}` has not been ' \
                                       'added for checking interoperability with ' \
                                       'the official NumPy.'.format(name)
         for workload in workloads:
-            _check_interoperability_helper(name, *workload['args'], **workload['kwargs'])
+            _check_interoperability_helper(name, rel_tol, abs_tol, *workload['args'], **workload['kwargs'])
 
 
 @with_seed()
diff --git a/tests/python/unittest/test_numpy_loss.py b/tests/python/unittest/test_numpy_loss.py
new file mode 100644
index 000000000000..6c63546f85b1
--- /dev/null
+++ b/tests/python/unittest/test_numpy_loss.py
@@ -0,0 +1,235 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+import mxnet as mx
+import numpy as np
+from mxnet import gluon, autograd
+from mxnet.test_utils import assert_almost_equal, default_context, use_np
+from common import setup_module, with_seed, teardown_module, xfail_when_nonstandard_decimal_separator
+import unittest
+
+
+@xfail_when_nonstandard_decimal_separator
+@with_seed()
+@use_np
+def test_loss_np_ndarray():
+    output = mx.np.array([1, 2, 3, 4])
+    label = mx.np.array([1, 3, 5, 7])
+    weighting = mx.np.array([0.5, 1, 0.5, 1])
+
+    loss = gluon.loss.L1Loss()
+    assert mx.np.sum(loss(output, label)) == 6.
+    loss = gluon.loss.L1Loss(weight=0.5)
+    assert mx.np.sum(loss(output, label)) == 3.
+    loss = gluon.loss.L1Loss()
+    assert mx.np.sum(loss(output, label, weighting)) == 5.
+
+    loss = gluon.loss.L2Loss()
+    assert mx.np.sum(loss(output, label)) == 7.
+    loss = gluon.loss.L2Loss(weight=0.25)
+    assert mx.np.sum(loss(output, label)) == 1.75
+    loss = gluon.loss.L2Loss()
+    assert mx.np.sum(loss(output, label, weighting)) == 6
+
+    loss = gluon.loss.HuberLoss()
+    assert mx.np.sum(loss(output, label)) == 4.5
+    loss = gluon.loss.HuberLoss(weight=0.25)
+    assert mx.np.sum(loss(output, label)) == 1.125
+    loss = gluon.loss.HuberLoss()
+    assert mx.np.sum(loss(output, label, weighting)) == 3.75
+
+    loss = gluon.loss.HingeLoss(margin=10)
+    assert mx.np.sum(loss(output, label)) == 13.
+    loss = gluon.loss.HingeLoss(margin=8, weight=0.25)
+    assert mx.np.sum(loss(output, label)) == 2.25
+    loss = gluon.loss.HingeLoss(margin=7)
+    assert mx.np.sum(loss(output, label, weighting)) == 4.
+
+    loss = gluon.loss.SquaredHingeLoss(margin=10)
+    assert mx.np.sum(loss(output, label)) == 97.
+    loss = gluon.loss.SquaredHingeLoss(margin=8, weight=0.25)
+    assert mx.np.sum(loss(output, label)) == 13.25
+    loss = gluon.loss.SquaredHingeLoss(margin=7)
+    assert mx.np.sum(loss(output, label, weighting)) == 19.
+
+    loss = gluon.loss.TripletLoss(margin=10)
+    assert mx.np.sum(loss(output, label, -label)) == 6.
+    loss = gluon.loss.TripletLoss(margin=8, weight=0.25)
+    assert mx.np.sum(loss(output, label, -label)) == 1.
+    loss = gluon.loss.TripletLoss(margin=7)
+    assert mx.np.sum(loss(output, label, -label, weighting)) == 1.5
+
+    output = mx.np.array([[0, 2], [1, 4]])
+    label = mx.np.array([0, 1])
+    weighting = mx.np.array([[0.5], [1.0]])
+
+    loss = gluon.loss.SoftmaxCrossEntropyLoss()
+    L = loss(output, label).asnumpy()
+    assert_almost_equal(L, np.array([ 2.12692809,  0.04858733]), rtol=1e-3, atol=1e-4)
+
+    L = loss(output, label, weighting).asnumpy()
+    assert_almost_equal(L, np.array([ 1.06346405,  0.04858733]), rtol=1e-3, atol=1e-4)
+
+
+@with_seed()
+@use_np
+def test_bce_equal_ce2():
+    N = 100
+    loss1 = gluon.loss.SigmoidBCELoss(from_sigmoid=True)
+    loss2 = gluon.loss.SoftmaxCELoss(from_logits=True)
+    out1 = mx.np.random.uniform(0.1, 0.9, size=(N, 1))
+    out2 = mx.np.log(mx.np.concatenate((1-out1, out1), axis=1) + 1e-8)
+    label = mx.np.round(mx.np.random.uniform(0, 1, size=(N, 1)))
+    assert_almost_equal(loss1(out1, label).asnumpy(), loss2(out2, label).asnumpy())
+
+@use_np
+def test_logistic_loss_equal_bce():
+    N = 100
+    loss_binary = gluon.loss.LogisticLoss(label_format='binary')
+    loss_signed = gluon.loss.LogisticLoss(label_format='signed')
+    loss_bce = gluon.loss.SigmoidBCELoss(from_sigmoid=False)
+    data = mx.np.random.uniform(-10, 10, size=(N, 1))
+    label = mx.np.round(mx.np.random.uniform(0, 1, size=(N, 1)))
+    assert_almost_equal(loss_binary(data, label), loss_bce(data, label), atol=1e-6)
+    assert_almost_equal(loss_signed(data, 2 * label - 1), loss_bce(data, label), atol=1e-6)
+
+
+@with_seed()
+@use_np
+def test_ctc_loss():
+    loss = gluon.loss.CTCLoss()
+    l = loss(mx.np.ones((2,20,4)), mx.np.array([[1,0,-1,-1],[2,1,1,-1]]))
+    assert_almost_equal(l, np.array([18.82820702, 16.50581741]))
+
+    loss = gluon.loss.CTCLoss(layout='TNC')
+    l = loss(mx.np.ones((20,2,4)), mx.np.array([[1,0,-1,-1],[2,1,1,-1]]))
+    assert_almost_equal(l, np.array([18.82820702, 16.50581741]))
+
+    loss = gluon.loss.CTCLoss(layout='TNC', label_layout='TN')
+    l = loss(mx.np.ones((20,2,4)), mx.np.array([[1,0,-1,-1],[2,1,1,-1]]).T)
+    assert_almost_equal(l, np.array([18.82820702, 16.50581741]))
+
+    loss = gluon.loss.CTCLoss()
+    l = loss(mx.np.ones((2,20,4)), mx.np.array([[2,1,2,2],[3,2,2,2]]), None, mx.np.array([2,3]))
+    assert_almost_equal(l, np.array([18.82820702, 16.50581741]))
+
+    loss = gluon.loss.CTCLoss()
+    l = loss(mx.np.ones((2,25,4)), mx.np.array([[2,1,-1,-1],[3,2,2,-1]]), mx.np.array([20,20]))
+    assert_almost_equal(l, np.array([18.82820702, 16.50581741]))
+
+    loss = gluon.loss.CTCLoss()
+    l = loss(mx.np.ones((2,25,4)), mx.np.array([[2,1,3,3],[3,2,2,3]]), mx.np.array([20,20]), mx.np.array([2,3]))
+    assert_almost_equal(l, np.array([18.82820702, 16.50581741]))
+
+
+@xfail_when_nonstandard_decimal_separator
+@with_seed()
+@use_np
+def test_sdml_loss():
+
+    N = 5 # number of samples
+    DIM = 10 # Dimensionality
+    EPOCHS = 20
+
+    # Generate randomized data and 'positive' samples
+    data = mx.np.random.uniform(-1, 1, size=(N, DIM))
+    pos = data + mx.np.random.uniform(-0.1, 0.1, size=(N, DIM)) # correlated paired data
+    data_iter = mx.io.NDArrayIter({'data' : data, 'pos' : pos}, batch_size=N)
+
+    # Init model and trainer
+    sdml_loss = gluon.loss.SDMLLoss()
+    model = gluon.nn.Dense(DIM, activation='tanh') # Simple NN encoder
+    model.initialize(mx.init.Xavier(), ctx=mx.current_context())
+    trainer = gluon.Trainer(model.collect_params(), 'adam', {'learning_rate' : 0.1})
+
+    for i in range(EPOCHS): # Training loop
+        data_iter.reset()
+        for iter_batch in data_iter:
+            batch = [datum.as_in_ctx(mx.current_context()).as_np_ndarray() for datum in iter_batch.data]
+            with autograd.record():
+                data, pos = batch
+                z_data, z_pos = model(data), model(pos)
+                loss = sdml_loss(z_data, z_pos)
+                loss.backward()
+            trainer.step(1)
+
+    # After training euclidean distance between aligned pairs should be lower than all non-aligned pairs
+    avg_loss = loss.sum()/len(loss)
+    assert(avg_loss < 0.05)
+
+@with_seed()
+@use_np
+def test_cosine_loss():
+    #Generating samples
+    input1 = mx.np.random.randn(3, 2)
+    input2 = mx.np.random.randn(3, 2)
+    label = mx.np.sign(mx.np.random.randn(input1.shape[0]))
+    #Calculating loss from cosine embedding loss function in Gluon
+    Loss = gluon.loss.CosineEmbeddingLoss()
+    loss = Loss(input1, input2, label)
+
+    # Calculating the loss Numpy way
+    numerator = mx.np.sum(input1 * input2, keepdims=True, axis=1)
+    denominator = mx.np.sqrt(mx.np.sum(input1**2, axis=1, keepdims=True)) \
+    * mx.np.sqrt(mx.np.sum(input2**2, axis=1, keepdims=True))
+    x = numerator/denominator
+    label = mx.npx.reshape(label, (-1, 1))
+    numpy_loss = mx.npx.reshape(
+        mx.np.where(label == 1, 1-x, mx.npx.relu(x)), (-1,))
+    assert_almost_equal(loss.asnumpy(), numpy_loss.asnumpy(), rtol=1e-3, atol=1e-5)
+
+@xfail_when_nonstandard_decimal_separator
+@use_np
+def test_poisson_nllloss():
+    shape=(3, 4)
+    not_axis0 = tuple(range(1, len(shape)))
+    pred = mx.np.random.normal(size=shape)
+    min_pred = mx.np.min(pred)
+    #This is necessary to ensure only positive random values are generated for prediction,
+    # to avoid ivalid log calculation
+    pred[:] = pred + mx.np.abs(min_pred)
+    target = mx.np.random.normal(size=shape)
+    min_target = mx.np.min(target)
+    #This is necessary to ensure only positive random values are generated for prediction,
+    # to avoid ivalid log calculation
+    target[:] += mx.np.abs(min_target)
+
+    Loss = gluon.loss.PoissonNLLLoss(from_logits=True)
+    Loss_no_logits = gluon.loss.PoissonNLLLoss(from_logits=False)
+    #Calculating by brute formula for default value of from_logits = True
+
+    # 1) Testing for flag logits = True
+    brute_loss = mx.np.mean(mx.np.exp(pred) - target * pred, axis=1)
+    loss_withlogits = Loss(pred, target)
+    assert_almost_equal(brute_loss, loss_withlogits)
+
+    #2) Testing for flag logits = False
+    loss_no_logits = Loss_no_logits(pred, target)
+    np_loss_no_logits = mx.np.mean(pred - target * mx.np.log(pred + 1e-08),
+                                   axis=1)
+    assert_almost_equal(np_loss_no_logits, loss_no_logits)
+
+    #3) Testing for Sterling approximation
+    shape=(2, 3)
+    np_pred = mx.np.random.uniform(1, 5, shape)
+    np_target = mx.np.random.uniform(1, 5, shape)
+    np_compute_full = mx.np.mean((np_pred - np_target * mx.np.log(np_pred + 1e-08)) + ((np_target * np.log(np_target)-\
+     np_target + 0.5 * np.log(2 * np_target * np.pi))*(np_target > 1)), axis=1)
+    Loss_compute_full = gluon.loss.PoissonNLLLoss(from_logits=False, compute_full=True)
+    loss_compute_full = Loss_compute_full(np_pred, np_target)
+    assert_almost_equal(np_compute_full, loss_compute_full)
+
diff --git a/tests/python/unittest/test_numpy_ndarray.py b/tests/python/unittest/test_numpy_ndarray.py
index 966b26d7e2d2..f1cd9b38621b 100644
--- a/tests/python/unittest/test_numpy_ndarray.py
+++ b/tests/python/unittest/test_numpy_ndarray.py
@@ -1369,3 +1369,35 @@ def test_dlpack(dtype, size):
     same(a_np+1, b)
     same(a_np+2, c)
     same(a_np+2, a_copy)
+
+@use_np
+@pytest.mark.parametrize('np_array', [
+    # ordinary numpy array
+    _np.array([[1, 2], [3, 4], [5, 6]], dtype="float32"),
+    # 0-dim
+    _np.array((1, )).reshape(()),
+    # 0-size
+    _np.array(()).reshape((1, 0, 2)),
+])
+@pytest.mark.parametrize('zero_copy', [False, True])
+def test_from_numpy(np_array, zero_copy):
+    # Test zero_copy
+    mx_array = mx.npx.from_numpy(np_array, zero_copy=zero_copy)
+    mx.test_utils.assert_almost_equal(np_array, mx_array.asnumpy())
+
+def test_from_numpy_exception():
+    np_array = _np.array([[1, 2], [3, 4], [5, 6]], dtype="float32")
+    mx_array = mx.npx.from_numpy(np_array)
+    with pytest.raises(ValueError):
+        np_array[2, 1] = 0
+
+    mx_array[2, 1] = 100
+    mx.test_utils.assert_almost_equal(np_array, mx_array.asnumpy())
+    np_array = _np.array([[1, 2], [3, 4], [5, 6]]).transpose()
+    assert not np_array.flags["C_CONTIGUOUS"]
+    with pytest.raises(ValueError):
+        mx_array = mx.nd.from_numpy(np_array)
+
+    np_array = _np.array([[1, 2], [3, 4], [5, 6]], dtype="float32")
+    mx_array = mx.npx.from_numpy(np_array, zero_copy=False)
+    np_array[2, 1] = 0 # no error
diff --git a/tests/python/unittest/test_numpy_op.py b/tests/python/unittest/test_numpy_op.py
index 5bf691575583..e4564e92510e 100644
--- a/tests/python/unittest/test_numpy_op.py
+++ b/tests/python/unittest/test_numpy_op.py
@@ -30,7 +30,7 @@
 from mxnet.gluon import HybridBlock
 from mxnet.base import MXNetError
 from mxnet.test_utils import same, assert_almost_equal, rand_shape_nd, rand_ndarray
-from mxnet.test_utils import check_numeric_gradient, use_np, collapse_sum_like
+from mxnet.test_utils import check_numeric_gradient, use_np, collapse_sum_like, effective_dtype
 from mxnet.test_utils import new_matrix_with_real_eigvals_nd
 from mxnet.test_utils import new_sym_matrix_with_real_eigvals_nd
 from common import assertRaises, with_seed, retry, xfail_when_nonstandard_decimal_separator
@@ -852,7 +852,23 @@ def _test_np_exception(func, shape, dim):
 
 @with_seed()
 @use_np
-def test_np_average():
+@pytest.mark.parametrize('a_shape,w_shape,axes', [
+    ((3, 5), (3, 5), None),
+    ((4, 5, 6), (4, 5, 6), (0, 2)),
+    ((3,), (3,), 0),
+    ((2, 3), (3,), 1),
+    ((2, 3, 4), (2,), 0),
+    ((2, 3, 4), (3,), 1),
+    ((2, 3, 4), (4,), -1),
+    ((2, 3, 4, 5), (5,), 3)
+])
+@pytest.mark.parametrize('dtype', ['float32', 'float64'])
+@pytest.mark.parametrize('hybridize', [True, False])
+@pytest.mark.parametrize('is_weighted', [True, False])
+@pytest.mark.parametrize('returned', [True, False])
+@pytest.mark.parametrize('req_a', ['null', 'add', 'write'])
+def test_np_average(a_shape, w_shape, axes, is_weighted, req_a,
+                    hybridize, returned, dtype):
     class TestAverage(HybridBlock):
         def __init__(self, axis=None, returned=False):
             super(TestAverage, self).__init__()
@@ -894,73 +910,57 @@ def avg_backward(a, w, avg, axes, init_a_grad=None, init_w_grad=None):
             w_grad += init_w_grad.asnumpy()
         return [a_grad, w_grad]
 
-    tensor_shapes = [
-        ((3, 5), (3, 5), None),  # (a_shape, w_shape, axes)
-        ((4, 5, 6), (4, 5, 6), (0, 2)),
-        ((3,), (3,), 0),
-        ((2, 3), (3,), 1),
-        ((2, 3, 4), (2,), 0),
-        ((2, 3, 4), (3,), 1),
-        ((2, 3, 4), (4,), -1),
-        ((2, 3, 4, 5), (5,), 3)
-    ]
-
-    flags = [True, False]
-    dtypes = ['float32', 'float64']
-    reqs = ['null', 'add', 'write']
-    for hybridize, returned, (a_shape, w_shape, axes), dtype, is_weighted, req_a in \
-        itertools.product(flags, flags, tensor_shapes, dtypes, flags, reqs):
-        if req_a == 'null' and not is_weighted:
-            continue
-        rtol, atol = 1e-3, 1e-4
-        test_average = TestAverage(axes, returned)
-        if hybridize:
-            test_average.hybridize()
-        a = np.random.uniform(-1.0, 1.0, size=a_shape, dtype=dtype)
-        a.attach_grad(req_a)
-        init_a_grad = np.random.uniform(-1.0, 1.0, size=a_shape, dtype=dtype) if req_a == 'add' else None
-        init_w_grad = None
-        req_w = req_a
-        w, np_w = None, None
-        if is_weighted:
-            w = np.random.uniform(-1.0, 1.0, size=w_shape, dtype=dtype)
-            if req_a == 'null':
-                req_w = random.choice(['add', 'write'])
-            w.attach_grad(req_w)
-            if req_w == 'add':
-                init_w_grad = np.random.uniform(-1.0, 1.0, size=w_shape, dtype=dtype)
-            np_w = w.asnumpy()
-        np_out = _np.average(a.asnumpy(), axis=axes, weights=np_w, returned=returned)
-        with mx.autograd.record():
-            mx_out = test_average(a, w)
-        if returned:
-            np_out, np_sum_of_weights = np_out
-            mx_out, mx_sum_of_weights = mx_out
-            assert_almost_equal(mx_sum_of_weights.asnumpy(), np_sum_of_weights, rtol=rtol, atol=atol)
-        assert mx_out.shape == np_out.shape
-        assert_almost_equal(mx_out.asnumpy(), np_out.astype(dtype), rtol=rtol, atol=atol)
-        if req_a == 'add':
-            a.grad[:] = init_a_grad
-        if is_weighted and req_w == 'add':
-            w.grad[:] = init_w_grad
-        mx_out.backward()
-        # Code to get reference backward value
-        a_grad, w_grad = avg_backward(a.asnumpy(), np_w, np_out, axes, init_a_grad, init_w_grad)
-        if is_weighted:
-            assert_almost_equal(w.grad.asnumpy(), w_grad, rtol=rtol*10, atol=atol*10)
+    if req_a == 'null' and not is_weighted:
+        return
+    rtol, atol = 1e-3, 1e-4
+    test_average = TestAverage(axes, returned)
+    if hybridize:
+        test_average.hybridize()
+    a = np.random.uniform(-1.0, 1.0, size=a_shape, dtype=dtype)
+    a.attach_grad(req_a)
+    init_a_grad = np.random.uniform(-1.0, 1.0, size=a_shape, dtype=dtype) if req_a == 'add' else None
+    init_w_grad = None
+    req_w = req_a
+    w, np_w = None, None
+    if is_weighted:
+        w = np.random.uniform(-1.0, 1.0, size=w_shape, dtype=dtype)
         if req_a == 'null':
-            assert a.grad is None
-        else:
-            assert_almost_equal(a.grad.asnumpy(), a_grad, rtol=rtol, atol=atol)
+            req_w = random.choice(['add', 'write'])
+        w.attach_grad(req_w)
+        if req_w == 'add':
+            init_w_grad = np.random.uniform(-1.0, 1.0, size=w_shape, dtype=dtype)
+        np_w = w.asnumpy()
+    np_out = _np.average(a.asnumpy(), axis=axes, weights=np_w, returned=returned)
+    with mx.autograd.record():
+        mx_out = test_average(a, w)
+    if returned:
+        np_out, np_sum_of_weights = np_out
+        mx_out, mx_sum_of_weights = mx_out
+        assert_almost_equal(mx_sum_of_weights.asnumpy(), np_sum_of_weights, rtol=rtol, atol=atol)
+    assert mx_out.shape == np_out.shape
+    assert_almost_equal(mx_out.asnumpy(), np_out, rtol=rtol, atol=atol)
+    if req_a == 'add':
+        a.grad[:] = init_a_grad
+    if is_weighted and req_w == 'add':
+        w.grad[:] = init_w_grad
+    mx_out.backward()
+    # Code to get reference backward value
+    a_grad, w_grad = avg_backward(a.asnumpy(), np_w, np_out, axes, init_a_grad, init_w_grad)
+    if is_weighted:
+        assert_almost_equal(w.grad.asnumpy(), w_grad, rtol=rtol*10, atol=atol*10)
+    if req_a == 'null':
+        assert a.grad is None
+    else:
+        assert_almost_equal(a.grad.asnumpy(), a_grad, rtol=rtol, atol=atol)
 
-        # Test imperative once again
-        np_out = _np.average(a.asnumpy(), weights=np_w, axis=axes, returned=returned)
-        mx_out = np.average(a, weights=w, axis=axes, returned=returned)
-        if returned:
-            np_out, np_sum_of_weights = np_out
-            mx_out, mx_sum_of_weights = mx_out
-            assert_almost_equal(mx_sum_of_weights.asnumpy(), np_sum_of_weights, rtol=rtol, atol=atol)
-        assert_almost_equal(mx_out.asnumpy(), np_out.astype(dtype), rtol=rtol, atol=atol)
+    # Test imperative once again
+    np_out = _np.average(a.asnumpy(), weights=np_w, axis=axes, returned=returned)
+    mx_out = np.average(a, weights=w, axis=axes, returned=returned)
+    if returned:
+        np_out, np_sum_of_weights = np_out
+        mx_out, mx_sum_of_weights = mx_out
+        assert_almost_equal(mx_sum_of_weights.asnumpy(), np_sum_of_weights, rtol=rtol, atol=atol)
+    assert_almost_equal(mx_out.asnumpy(), np_out, rtol=rtol, atol=atol)
 
 
 @with_seed()
@@ -1064,14 +1064,15 @@ def test_np_moment():
     class TestMoment(HybridBlock):
         def __init__(self, name, axis=None, dtype=None, keepdims=False, ddof=0):
             super(TestMoment, self).__init__()
-            self._name = name
+            self._moment_name = name
             self._axis = axis
             self._dtype = dtype
             self._keepdims = keepdims
             self._ddof = ddof
 
         def hybrid_forward(self, F, a, *args, **kwargs):
-            return getattr(a, self._name)(axis=self._axis, dtype=self._dtype, keepdims=self._keepdims, ddof=self._ddof)
+            return getattr(a, self._moment_name)(axis=self._axis, dtype=self._dtype,
+                                                 keepdims=self._keepdims, ddof=self._ddof)
 
     def is_int(dtype):
         return 'int' in dtype
@@ -1351,7 +1352,7 @@ def index_add_forward(a, ind, val, ind_ndim, ind_num):
             else:
                 a[t_ind] += val
         return a
-    
+
     def index_add_bwd(out_grad, a_grad, ind, val_grad, ind_ndim, ind_num, grad_req_a, grad_req_val):
         if grad_req_a == 'add':
             init_a_grad = _np.array(a_grad)
@@ -1760,8 +1761,8 @@ def gt_grad_batch_dot_numpy(lhs, rhs, ograd, transpose_a, transpose_b, lhs_req,
 
 @with_seed()
 @use_np
-@pytest.mark.parametrize('shape', [(24, 2), (24, 3, 4),
-    (24, 8, 4, 5), (24, 5, 6, 4, 5)])
+@pytest.mark.parametrize('shape', [(4, 2), (4, 3, 4),
+    (4, 6, 4, 5), (4, 5, 6, 4, 5)])
 @pytest.mark.parametrize('fix_gamma', [False, True])
 @pytest.mark.parametrize('cudnn_off', [False, True])
 @pytest.mark.parametrize('output_mean_var', [False, True])
@@ -1848,15 +1849,18 @@ def _test_batchnorm_impl(axis,
 
             running_mean = running_mean * momentum + \
                 data_mean_flat * (1 - momentum)
+
+            m = _np.prod(shape) / shape[axis]
+            # cudnn uses m-1 in the denominator of its sample variance calculation, not m
+            sample_var_adjust = 1.0 if cudnn_off or fix_gamma else m / (m-1)
             running_var = running_var * momentum + \
-                data_var_flat * (1 - momentum)
+                data_var_flat * sample_var_adjust * (1 - momentum)
 
             W = bn_gamma.reshape(expand_shape)
             dnx = ograd * W
             xsm = data - data_mean
             nd = 1.0 / np.sqrt(data_var + epsilon)
             nx = xsm * nd
-            m = _np.prod(shape) / shape[axis]
             dvar = (dnx * xsm).sum(axis=reduce_axis, keepdims=True,
                                   ) * (-0.5) * np.power(nd, 3)
             dmean = -nd * dnx.sum(axis=reduce_axis, keepdims=True) - \
@@ -1965,6 +1969,7 @@ def np_log_softmax(x, axis=-1):
                     assert_almost_equal(mx_out.asnumpy(), np_out, rtol=1e-3, atol=1e-5, equal_nan=True)
 
                     mx_out.backward()
+                    mx_a.grad.wait_to_read()
                     assert_almost_equal(mx_a.grad.asnumpy(), _np.zeros(shape), rtol=1e-3, atol=1e-5)
 
 
@@ -2439,7 +2444,11 @@ def hybrid_forward(self, F, x):
     [(8, 2, 16), [(0, 2, 1), (2, 0, 1), (0, 1, 2), (2, 1, 0), (-1, -2, -3)]],
     [(8, 3, 4, 8), [(0, 2, 3, 1), (1, 2, 3, 0), (0, 3, 2, 1)]],
     [(8, 3, 2, 3, 8), [(0, 1, 3, 2, 4), (0, 1, 2, 3, 4), (4, 0, 1, 2, 3)]],
-    [(3, 4, 3, 4, 3, 2), [(0, 1, 3, 2, 4, 5), (2, 3, 4, 1, 0, 5), None]]
+    [(3, 4, 3, 4, 3, 2), [(0, 1, 3, 2, 4, 5), (2, 3, 4, 1, 0, 5), None]],
+    [(3, 4, 3, 4, 3, 2, 2), [(0, 1, 3, 2, 4, 5, 6),
+     (2, 3, 4, 1, 0, 5, 6), None]],
+    [(3, 4, 3, 4, 3, 2, 3, 2), [(0, 1, 3, 2, 4, 5, 7, 6),
+     (2, 3, 4, 1, 0, 5, 7, 6), None]],
 ])
 @pytest.mark.parametrize('grad_req', ['write', 'add'])
 def test_np_transpose(data_shape, axes_workload, hybridize, dtype, grad_req):
@@ -3062,7 +3071,6 @@ def hybrid_forward(self, F, a, b, *args, **kwargs):
 
 @with_seed()
 @use_np
-@pytest.mark.skip(reason='https://github.com/apache/incubator-mxnet/issues/16848')
 def test_np_mixed_precision_binary_funcs():
     itypes = [np.bool, np.int8, np.int32, np.int64]
     ftypes = [np.float16, np.float32, np.float64]
@@ -3075,6 +3083,27 @@ def __init__(self, func):
             def hybrid_forward(self, F, a, b, *args, **kwargs):
                 return getattr(F.np, self._func)(a, b)
 
+        if (func in ['multiply', 'mod', 'equal', 'not_equal', 'greater',
+                    'greater_equal', 'less', 'less_equal']) and \
+            (lshape == () or rshape == ()) :
+        # the behaviors of infer type in dealing with the input shape of '()' are different between np and onp
+        # for example,
+        # mx_test_x1 = np.random.uniform(-2, 2, (2,3)).astype(np.float32)
+        # mx_test_x2 = np.random.uniform(-2, 2, ()).astype(np.float16)
+        # np_out = _np.mod(mx_test_x1.asnumpy(), mx_test_x2.asnumpy()) # float16
+        # mx_out = np.mod(mx_test_x1, mx_test_x2) # float32
+
+        # logcial ops: when two numbers are only different in precision, NumPy also has a weird behavior
+        # for example,
+        # a = np.array([[1.441]], dtype = np.float16)
+        # b = np.array(1.4413278, dtype = np.float32)
+        # c = np.array([1.4413278], dtype = np.float32)
+        # np.greater(a,b), np.greater(a,c) # True True
+        # _np.greater(a.asnumpy(),b.asnumpy()), _np.greater(a.asnumpy(),c.asnumpy()) # False True
+
+        # thus, skip the tests
+            return
+
         np_func = getattr(_np, func)
         mx_func = TestMixedBinary(func)
         np_test_x1 = _np.random.uniform(low, high, lshape).astype(ltype)
@@ -4562,9 +4591,9 @@ class TestRandomGrad(HybridBlock):
         def __init__(self, shape, op_name):
             super(TestRandomGrad, self).__init__()
             self._shape = shape
-            self._name = op_name
+            self._dist_name = op_name
         def hybrid_forward(self, F, loc, scale):
-            op = getattr(F.np.random, self._name, None)
+            op = getattr(F.np.random, self._dist_name, None)
             assert op is not None
             return op(loc=loc, scale=scale, size=self._shape)
 
@@ -4603,7 +4632,7 @@ def hybrid_forward(self, F, loc, scale):
                 scale = np.ones(scale)
             mx_out = getattr(np.random, op_name)(loc, scale)
             np_out = getattr(_np.random, op_name)(loc, scale)
-            assert_almost_equal(mx_out.asnumpy().shape, np_out.shape)
+            assert mx_out.asnumpy().shape == np_out.shape
 
 
 @with_seed()
@@ -4649,7 +4678,7 @@ def hybrid_forward(self, F, mean, sigma):
     for ((shape1, shape2), out_shape) in zip(param_shape, output_shapes):
         mx_out = np.random.lognormal(np.zeros(shape1), np.ones(shape2), out_shape)
         np_out = _np.random.lognormal(np.zeros(shape1).asnumpy(), np.ones(shape2).asnumpy(), out_shape)
-        assert_almost_equal(mx_out.asnumpy().shape, np_out.shape)
+        assert mx_out.asnumpy().shape == np_out.shape
 
     def _test_lognormal_exception(sigma):
         output = np.random.lognormal(sigma=sigma).asnumpy()
@@ -4908,7 +4937,7 @@ def hybrid_forward(self, F, scale):
             with mx.autograd.record():
                 mx_out = test_rayleigh(scale)
             np_out = _np.random.rayleigh(scale = scale.asnumpy(), size = shape)
-            assert_almost_equal(np_out.shape, mx_out.shape)
+            assert np_out.shape == mx_out.shape
             mx_out.backward()
             assert scale.grad.shape == shape
             assert_almost_equal(scale.grad.asnumpy().sum(), mx_out.asnumpy().sum(), rtol=1e-3, atol=1e-5)
@@ -4916,7 +4945,7 @@ def hybrid_forward(self, F, scale):
     for shape in shapes:
         mx_out = np.random.rayleigh(np.array([1]), shape)
         np_out = _np.random.rayleigh(np.array([1]).asnumpy(), shape)
-        assert_almost_equal(mx_out.asnumpy().shape, np_out.shape)
+        assert mx_out.asnumpy().shape == np_out.shape
 
     def _test_rayleigh_exception(scale):
         output = np.random.rayleigh(scale=scale).asnumpy()
@@ -4949,7 +4978,7 @@ def hybrid_forward(self, F, scale):
             with mx.autograd.record():
                 mx_out = test_exponential_grad(scale)
             np_out = _np.random.exponential(scale = scale.asnumpy(), size = out_shape)
-            assert_almost_equal(np_out.shape, mx_out.shape)
+            assert np_out.shape == mx_out.shape
             mx_out.backward()
             assert scale.grad.shape == out_shape
             assert_almost_equal(scale.grad.asnumpy().sum(), mx_out.asnumpy().sum(), rtol=1e-3, atol=1e-5)
@@ -5719,6 +5748,8 @@ def check_svd(UT, L, V, data_np):
                 data_np = _np.random.uniform(-10.0, 10.0, shape)
                 data_np = _np.array(data_np, dtype=dtype)
                 data = np.array(data_np, dtype=dtype)
+                if effective_dtype(data) == np.dtype(np.float16):
+                    continue
                 data.attach_grad()
                 with mx.autograd.record():
                     ret = test_svd(data)
@@ -5756,49 +5787,64 @@ def __init__(self):
         def hybrid_forward(self, F, data):
             return F.np.linalg.qr(data)
 
-    def get_expected_grad(a, q, r):
+    def get_expected_grad(a, q, r, dq, dr):
+        # for all input shapes (..., m, n)
         if 0 in r.shape:
             return r
-        def copyltu(M):
-                # shape of M is [batch, m, m]
-                eye = _np.array([_np.eye(M.shape[-1]) for i in range(M.shape[0])])
-                lower = _np.tril(M) - eye * M
-                lower_mask = _np.tril(_np.ones_like(M))
-                ret = lower_mask * M + lower.swapaxes(-1, -2)
-                return ret
-        shape_r = r.shape
-        shape_q = q.shape
-        shape_a = a.shape
-        r = r.reshape(-1, shape_r[-2], shape_r[-1])
-        q = q.reshape(-1, shape_q[-2], shape_q[-1])
-        dq = _np.ones_like(q)
-        dr = _np.ones_like(r)
-        dq_t = dq.swapaxes(-1, -2)
-        dr_t = dr.swapaxes(-1, -2)
-        r_inv = _np.linalg.inv(r)
-        r_inv_t = r_inv.swapaxes(-1, -2)
-        r_t = r.swapaxes(-1, -2)
-        # Get M
-        M = _np.matmul(r, dr_t) - _np.matmul(dq_t, q)
-        da = _np.matmul(dq + _np.matmul(q, copyltu(M)), r_inv_t)
-        return da.reshape(a.shape)
-
-    def well_conditioned_rectang_matrix_2D(shape, max_cond=4):
+        def _copyltu(M):
+            eye = _np.array([_np.eye(M.shape[-1]) for i in range(M.shape[0])])
+            lower = _np.tril(M) - eye * M
+            lower_mask = _np.tril(_np.ones_like(M))
+            ret = lower_mask * M + lower.swapaxes(-1, -2)
+            return ret
+        def _case_m_ge_n(a, q, r, dq, dr):
+                dq_t = dq.swapaxes(-1, -2)
+                dr_t = dr.swapaxes(-1, -2)
+                r_inv = _np.linalg.inv(r)
+                r_inv_t = r_inv.swapaxes(-1, -2)
+                r_t = r.swapaxes(-1, -2)
+                # Get M
+                M = _np.matmul(r, dr_t) - _np.matmul(dq_t, q)
+                da = _np.matmul(dq + _np.matmul(q, _copyltu(M)), r_inv_t)
+                return da
+        m, n = a.shape[-2], a.shape[-1]
+        x = a[..., :, :m]
+        x_shape = x.shape
+        y = a[..., :, m:]
+        y_shape = y.shape
+        u = r[..., :, :m]
+        v = r[..., :, m:]
+        dv = dr[..., :, m:]
+        du = dr[..., :, :m]
+        q = q.reshape(-1, q.shape[-2], q.shape[-1])
+        u = u.reshape(-1, u.shape[-2], u.shape[-1])
+        dq = dq.reshape(-1, q.shape[-2], q.shape[-1])
+        du = du.reshape(-1, du.shape[-2], du.shape[-1])
+        if m >= n:
+            dx = _case_m_ge_n(x, q, u, dq, du).reshape(x_shape)
+            return dx
+        else:
+            dv = dv.reshape(-1, dv.shape[-2], dv.shape[-1])
+            y = y.reshape(-1, y.shape[-2], y.shape[-1])
+            dy = _np.matmul(q, dv).reshape(y_shape)
+            dq_prime = dq + _np.matmul(y, dv.swapaxes(-1, -2))
+            dx = _case_m_ge_n(x, q, u, dq_prime, du).reshape(x_shape)
+            da = _np.concatenate([dx, dy], axis=-1)
+            return da
+
+    def well_conditioned_rectang_matrix_2D(shape, ran=(-1., 1.), max_cond=4):
         m, n = shape[-2], shape[-1]
         while 1:
-            M1 = _np.random.uniform(-10, 10, (m, n))
-            Q1, R1 = _np.linalg.qr(M1)
-            s = _np.ones(n)
-            D = _np.diag(s)
-            M2 =_np.random.uniform(-10, 10, (n, n))
-            Q2, R2 = _np.linalg.qr(M2)
+            Q1, R1 = _np.linalg.qr(_np.random.uniform(ran[0], ran[1], (m, m)))
+            D = _np.eye(m, n)
+            Q2, R2 = _np.linalg.qr(_np.random.uniform(ran[0], ran[1], (n, n)))
             a = _np.matmul(_np.matmul(Q1, D), _np.swapaxes(Q2, -1, -2))
             if (_np.linalg.cond(a, 2) < max_cond):
                 return a
 
-    def well_conditioned_rectang_matrix_nD(shape, max_cond=4):
+    def well_conditioned_rectang_matrix_nD(shape, ran=(-1., 1.), max_cond=4):
         p = int(_np.prod(shape[:-2])) if len(shape) > 2 else 1
-        return _np.array([well_conditioned_rectang_matrix_2D(shape, max_cond) for i in range(p)]).reshape(shape)
+        return _np.array([well_conditioned_rectang_matrix_2D(shape, ran, max_cond) for i in range(p)]).reshape(shape)
 
     def check_qr(q, r, a_np):
         # check Q@R = A
@@ -5823,41 +5869,31 @@ def check_qr(q, r, a_np):
             assert_almost_equal(q.asnumpy(), q_expected, rtol=rtol, atol=atol)
             assert_almost_equal(r.asnumpy(), r_expected, rtol=rtol, atol=atol)
     shapes = [
-        (0, 0),
-        (0, 1),
-        (1, 1),
-        (5, 3),
         (3, 5),
-        (3, 3),
-        (5, 5),
-        (8, 8),
-        (4, 5),
-        (4, 6),
-        (5, 4),
-        (6, 5),
+        (5, 3),
+        (10, 10),
+        (0, 1),
         (6, 5, 6),
         (6, 6, 5),
-        (3, 0, 0),
-        (2, 3, 3, 4),
-        (0, 5, 3, 3),
+        (2, 3, 2, 3),
+        (2, 3, 3, 2),
         (5, 0, 3, 3),
         (3, 3, 0, 0),
-        (4, 2, 2, 1),
-        (2, 3, 4, 3)
     ]
-    dtypes = ['float32', 'float64']
+    dtypes = ['float64', 'float32']
     for hybridize, shape, dtype in itertools.product([False, True], shapes, dtypes):
-        rtol = atol = 0.01
+        rtol = atol = 1e-2
+        if dtype == 'float32':
+            rtol = atol = 3e-2
+
         test_qr = TestQR()
         if hybridize:
             test_qr.hybridize()
-
         if 0 in shape:
             data_np = _np.ones(shape)
-        elif shape[-2] >= shape[-1]:
-            data_np = well_conditioned_rectang_matrix_nD(shape, max_cond=4)
         else:
-            data_np = _np.random.uniform(-10.0, 10.0, shape)
+            data_np = well_conditioned_rectang_matrix_nD(shape, max_cond=4)
+
         data_np = _np.array(data_np, dtype=dtype)
         data = np.array(data_np, dtype=dtype)
 
@@ -5867,10 +5903,10 @@ def check_qr(q, r, a_np):
         Q, R = ret[0], ret[1]
         check_qr(Q, R, data_np)
 
-        # Only shapes m >= n have gradient
-        if 0 not in R.shape and shape[-2] >= shape[-1]:
+        if 0 not in R.shape:
             assert data.grad.shape == data_np.shape
-            backward_expected = get_expected_grad(data_np, Q.asnumpy(), R.asnumpy())
+            backward_expected = get_expected_grad(data_np, Q.asnumpy(), R.asnumpy(),
+                                                  _np.ones(Q.shape), _np.ones(R.shape))
             mx.autograd.backward(ret)
             assert_almost_equal(data.grad.asnumpy(), backward_expected, rtol=rtol, atol=atol)
 
@@ -6110,7 +6146,7 @@ def check_solve(x, a_np, b_np):
             print(e)
         else:
             assert x.shape == x_expected.shape
-            assert_almost_equal(x.asnumpy(), x_expected, rtol=rtol, atol=atol)
+            assert_almost_equal(x, x_expected)
 
     def newInvertibleMatrix_2D(shape, max_cond=4):
         while 1:
@@ -6150,7 +6186,6 @@ def get_grad_b(A, X):
     nrhs = (-1, 0, 1, 2, 3)
     dtypes = ['float32', 'float64']
     for hybridize, shape, dtype, nrh in itertools.product([False, True], shapes, dtypes, nrhs):
-        rtol, atol =1e-2, 1e-4
         test_solve = TestSolve()
         if hybridize:
             test_solve.hybridize()
@@ -6184,8 +6219,8 @@ def get_grad_b(A, X):
                 mx.autograd.backward(mx_out)
                 b_backward_expected = get_grad_b(a.asnumpy(), mx_out.asnumpy())
                 a_backward_expected = -_np.matmul(b_backward_expected, _np.swapaxes(mx_out, -1, -2).asnumpy())
-                assert_almost_equal(a.grad.asnumpy(), a_backward_expected, rtol=rtol, atol=atol)
-                assert_almost_equal(b.grad.asnumpy(), b_backward_expected, rtol=rtol, atol=atol)
+                assert_almost_equal(a.grad, a_backward_expected)
+                assert_almost_equal(b.grad, b_backward_expected)
 
         # check imperative once again
         mx_out = np.linalg.solve(a, b)
@@ -6210,7 +6245,7 @@ def check_tensorinv(inv_a, a_np, ind):
             print(e)
         else:
             assert inv_a.shape == inv_a_expected.shape
-            assert_almost_equal(inv_a.asnumpy(), inv_a_expected, rtol=rtol, atol=atol)
+            assert_almost_equal(inv_a, inv_a_expected)
 
     def newInvertibleMatrix_2D(shape, max_cond=4):
         while 1:
@@ -6253,11 +6288,6 @@ def get_grad_A(A, ind):
     ]
     dtypes = ['float32', 'float64']
     for hybridize, shape, dtype, in itertools.product([False, True], shapes, dtypes):
-        rtol = 1e-3
-        atol = 1e-5
-        if dtype == 'float32':
-            rtol = 1e-2
-            atol = 1e-4
         ind = shape[0]
         test_tensorinv = TestTensorinv(ind=ind)
         if hybridize:
@@ -6285,7 +6315,7 @@ def get_grad_A(A, ind):
         if 0 not in mx_out.shape:
             mx.autograd.backward(mx_out)
             grad_A_expected = get_grad_A(a.asnumpy(), ind)
-            assert_almost_equal(a.grad.asnumpy(), grad_A_expected, rtol=rtol, atol=atol)
+            assert_almost_equal(a.grad, grad_A_expected)
 
     # check imperative once again
     mx_out = np.linalg.tensorinv(a, ind)
@@ -6338,7 +6368,7 @@ def check_tensorsolve(x, a_np, b_np, axes):
             print(e)
         else:
             assert x.shape == x_expected.shape
-            assert_almost_equal(x.asnumpy(), x_expected, rtol=rtol, atol=atol)
+            assert_almost_equal(x, x_expected)
 
     def shapeInfer(a_shape, b_shape, axes=None):
         # b_shape - Right-hand tensor shape, which can be of any shape.
@@ -6400,8 +6430,6 @@ def newInvertibleMatrix_2D(shape, max_cond=4):
     for hybridize in [True, False]:
         for dtype in dtypes:
             for a_shape, b_shape, axes in shapes:
-                rtol = 1e-2 if dtype == 'float32' else 1e-3
-                atol = 1e-4 if dtype == 'float32' else 1e-5
                 test_tensorsolve = TestTensorsolve(axes)
                 if hybridize:
                     test_tensorsolve.hybridize()
@@ -6438,8 +6466,8 @@ def newInvertibleMatrix_2D(shape, max_cond=4):
                     mx.autograd.backward(mx_out)
                     grad_a_expected, grad_b_expected = get_tensorsolve_backward(
                         a.asnumpy(), b.asnumpy(), mx_out.asnumpy(), a_axes, a_origin_axes, a_trans_shape)
-                    assert_almost_equal(a.grad.asnumpy(), grad_a_expected, rtol=rtol, atol=atol)
-                    assert_almost_equal(b.grad.asnumpy(), grad_b_expected, rtol=rtol, atol=atol)
+                    assert_almost_equal(a.grad, grad_a_expected)
+                    assert_almost_equal(b.grad, grad_b_expected)
 
                 # check imperative once again
                 mx_out = test_tensorsolve(a, b)
@@ -9515,7 +9543,7 @@ def hybrid_forward(self, F, cond, x, y):
             same(ret.asnumpy(), _np.where(cond.asnumpy(), x.asnumpy(), 1))
             ret_rscalar.backward()
             same(x.grad.asnumpy(), collapse_sum_like(_np.broadcast_to(cond.asnumpy(), ret.shape), shape_pair[1]))
-        
+
         # check both scalar case
         x = _np.random.randint(0, 100)
         y = _np.random.randint(0, 100)
@@ -10116,7 +10144,7 @@ def hybrid_forward(self, F, a, *args, **kwargs):
     dtypes = ['int32', 'int64', 'float16', 'float32', 'float64']
     for hybridize in [False, True]:
         for dtype in dtypes:
-            for ndim in [0, 1, 2, 3, 4, 5, 6]:
+            for ndim in [0, 1, 2, 3, 4, 5, 6, 7, 8]:
                 shape = rand_shape_nd(ndim, dim=5, allow_zero_size=True)
                 np_data = _np.random.uniform(low=-100, high=100, size=shape).astype(dtype)
                 mx_data = np.array(np_data, dtype=dtype)
diff --git a/tests/python/unittest/test_operator.py b/tests/python/unittest/test_operator.py
index 5e46a68a7a00..a44ba327b3a1 100644
--- a/tests/python/unittest/test_operator.py
+++ b/tests/python/unittest/test_operator.py
@@ -30,7 +30,7 @@
 from mxnet.operator import *
 from mxnet.base import py_str, MXNetError, _as_list
 from common import setup_module, with_seed, teardown_module, assert_raises_cudnn_not_satisfied, assert_raises_cuda_not_satisfied, assertRaises
-from common import run_in_spawned_process, xfail_when_nonstandard_decimal_separator
+from common import xfail_when_nonstandard_decimal_separator, with_environment
 import pytest
 import os
 
@@ -458,21 +458,26 @@ def test_symbol_pow():
 
 @with_seed()
 def test_fully_connected():
+    # Create data of given shape as a uniform distribution centered on 0.0
+    def random_data(shape, dtype=np.float32):
+        return mx.nd.random.uniform(low=-0.5,
+                                    high=0.5, shape=shape, dtype=dtype)
     data = mx.sym.var("data")
     fc_weight = mx.sym.var("weight")
     fc_bias = mx.sym.var("bias")
     fc = mx.sym.FullyConnected(data=data, weight=fc_weight, bias=fc_bias, num_hidden=10, no_bias=False, name='fc')
-    data = mx.nd.random.uniform(shape=(5, 5, 5, 13), dtype=np.float32)
-    fc_weight = mx.nd.random.uniform(shape=(10, 325), dtype=np.float32)
-    fc_bias = mx.nd.random.uniform(shape=(10), dtype=np.float32)
-    fc_bias2 = mx.nd.random.uniform(shape=(10, 1), dtype=np.float32)
+
+    data = random_data(shape=(5, 5, 5, 13))
+    fc_weight = random_data(shape=(10, 325))
+    fc_bias = random_data(shape=(10))
+    fc_bias2 = random_data(shape=(10, 1))
+
     data_np = data.asnumpy().reshape(5, 325)
     fc_weight_np = np.transpose(fc_weight.asnumpy())
     fc_bias_np = fc_bias.asnumpy()
     res = np.dot(data_np, fc_weight_np) + fc_bias.asnumpy()
     check_symbolic_forward(fc, {'data': data_np, 'weight': fc_weight.asnumpy(), 'bias': fc_bias_np}, {'fc_output': res})
-    check_numeric_gradient(fc, {'data': data_np, 'weight': fc_weight.asnumpy(), 'bias': fc_bias_np},
-                           numeric_eps=1e-2, rtol=1e-4, atol=1e-2)
+    check_numeric_gradient(fc, {'data': data_np, 'weight': fc_weight.asnumpy(), 'bias': fc_bias_np})
     # TODO: Fix Bug #15032 when bias has ndim > 1
     #check_symbolic_forward(fc, {'data': data_np, 'weight': fc_weight.asnumpy(), 'bias': fc_bias2.asnumpy()}, {'fc_output': res})
 
@@ -493,11 +498,11 @@ def test_relu():
     def frelu(x):
         return np.maximum(x, 0.0)
     def frelu_grad(x):
-        return 1.0 * (x > 0.0)
+        return np.float32(1.0) * (x > np.float32(0.0))
     shape = (3, 4)
     x = mx.symbol.Variable("x")
     y = mx.sym.relu(x)
-    xa = np.random.uniform(low=-1.0,high=1.0,size=shape)
+    xa = np.random.uniform(low=-1.0,high=1.0,size=shape).astype('float32')
     eps = 1e-4
     # Avoid finite difference method inaccuracies due to discontinuous gradient at the origin.
     # Here we replace small problematic inputs with 1.0.  Repro issue with seed 97264195.
@@ -1459,8 +1464,8 @@ def check_batchnorm_training(stype):
 @xfail_when_nonstandard_decimal_separator
 @with_seed()
 @pytest.mark.parametrize('op_name', ['BatchNorm', 'SyncBatchNorm'])
-@pytest.mark.parametrize('shape', [(24, 2), (24, 3, 4),
-    (24, 8, 4, 5), (24, 5, 6, 4, 5)])
+@pytest.mark.parametrize('shape', [(4, 2), (4, 3, 4),
+    (4, 6, 4, 5), (4, 5, 6, 4, 5)])
 @pytest.mark.parametrize('fix_gamma', [False, True])
 @pytest.mark.parametrize('cudnn_off', [False, True])
 @pytest.mark.parametrize('output_mean_var', [False, True])
@@ -1544,15 +1549,18 @@ def _test_batchnorm_impl(axis,
 
             running_mean = running_mean * momentum + \
                 data_mean_flat * (1 - momentum)
+
+            m = np.prod(shape) / shape[axis]
+            # cudnn uses m-1 in the denominator of its sample variance calculation, not m
+            sample_var_adjust = 1.0 if cudnn_off or fix_gamma else m / (m-1)
             running_var = running_var * momentum + \
-                data_var_flat * (1 - momentum)
+                data_var_flat * sample_var_adjust * (1 - momentum)
 
             W = bn_gamma.reshape(expand_shape)
             dnx = ograd * W
             xsm = data - data_mean
             nd = 1.0 / mx.nd.sqrt(data_var + epsilon)
             nx = xsm * nd
-            m = np.prod(shape) / shape[axis]
             dvar = (dnx * xsm).sum(axis=axis, keepdims=True,
                                    exclude=True) * (-0.5) * mx.nd.power(nd, 3)
             dmean = -nd * dnx.sum(axis=axis, keepdims=True, exclude=True) - \
@@ -2478,13 +2486,13 @@ def test_reduce_inner(numpy_reduce_func, numpy_reduce_grad_func, mx_reduce_sym,
                          args_grad={'a': grad_nd})
             net.forward(is_train=True)
 
-            equal_forward = almost_equal_ignore_nan(net.outputs[0].asnumpy(), sum_groundtruth, 1E-4, 1E-4)
-            assert equal_forward
+            # check forward
+            assert_almost_equal_ignore_nan(net.outputs[0].asnumpy(), sum_groundtruth, rtol=1e-4, atol=1e-4)
 
             net.backward(out_grads=mx.nd.array(outgrad_npy))
             bc_grad_groundtruth = np.broadcast_to(grad_groundtruth, grad_nd.shape)
-            equal_backward = almost_equal_ignore_nan(grad_nd.asnumpy(), bc_grad_groundtruth, 1E-4, 1E-4)
-            assert equal_backward
+            # check backward
+            assert_almost_equal_ignore_nan(grad_nd.asnumpy(), bc_grad_groundtruth, rtol=1e-4, atol=1e-4)
 
     test_none_axis = [True, False]
     for test_none in test_none_axis:
@@ -2573,9 +2581,9 @@ def test_broadcasting_ele(sym_bcast):
 
 @with_seed()
 def test_transpose():
-    for ndim in range(1, 7):
+    for ndim in range(1, 10):
         for t in range(5):
-            dims = list(np.random.randint(1, 10, size=ndim))
+            dims = list(np.random.randint(1, 5, size=ndim))
             axes = list(range(ndim))
             random.shuffle(axes)
             axes = tuple(axes)
@@ -3492,59 +3500,53 @@ def l2norm(input_data, axis=0, keepdims=True):
                 np.int32: np.int32, np.int64: np.int64}
     dtype_to_str = {np.float16: 'float16', np.float32: 'float32', np.float64: 'float64',
                     np.int32: 'int32', np.int64: 'int64'}
-    is_windows = sys.platform.startswith('win')
-    for enforce_safe_acc in ["1", "0"]:
-        if is_windows:
-            if enforce_safe_acc == "0":
-                break
-            enforce_safe_acc = "0" if "MXNET_SAFE_ACCUMULATION" not in os.environ else os.environ["MXNET_SAFE_ACCUMULATION"]
-        else:
-            os.environ["MXNET_SAFE_ACCUMULATION"] = enforce_safe_acc
-        for order in [1, 2]:
-            for dtype in [np.float16, np.float32, np.float64]:
-                for i in range(in_data_dim):
-                    for out_dtype in ['float32', 'float64']:
-                        backward_dtype = np.float32 if out_dtype == 'float32' else np.float64
-                        accumulation_type = acc_type[dtype]
-                        if enforce_safe_acc == "0":
-                            backward_dtype = dtype
-                            out_dtype = dtype_to_str[dtype]
-                            accumulation_type = dtype
-                        skip_backward = 'int' in out_dtype
-                        in_data = np.random.uniform(-1, 1, in_shape).astype(accumulation_type)
-                        in_data[abs(in_data) < epsilon] = 2 * epsilon
-                        norm_sym = mx.symbol.norm(data=data, ord=order, axis=i, out_dtype=out_dtype, keepdims=True)
-                        npy_out = l1norm(in_data, i) if order is 1 else l2norm(in_data, i)
-                        npy_out_backward = np.sign(in_data) if order is 1 else in_data/npy_out
-                        check_symbolic_forward(norm_sym, [in_data.astype(dtype)], [npy_out.astype(out_dtype)],
-                                               rtol=1e-2 if dtype == np.float16 else 1e-3,
-                                               atol=1e-4 if dtype == np.float16 else 1e-5, ctx=ctx, dtype=dtype)
-                        if dtype is not np.float16 and not skip_backward:
-                            check_symbolic_backward(norm_sym, [in_data.astype(dtype)],
-                                                    [np.ones(npy_out.shape).astype(out_dtype)],
-                                                    [npy_out_backward], rtol=1e-3, atol=1e-5, ctx=ctx,
-                                                    dtype=backward_dtype)
-                        # Disable numeric gradient https://github.com/apache/incubator-mxnet/issues/11509
-                        # check gradient
-                        if dtype is not np.float16 and not skip_backward:
-                            check_numeric_gradient(norm_sym, [in_data], numeric_eps=epsilon,
-                                                   rtol=1e-1, atol=1e-3, dtype=backward_dtype)
-                        if i < in_data_dim-1:
-                            norm_sym = mx.symbol.norm(data=data, ord=order, axis=(i, i+1), keepdims=True)
-                            npy_out = l1norm(in_data, (i, i+1)) if order is 1 else l2norm(in_data, (i, i+1))
+    for enforce_safe_acc in ['1', '0']:
+        with environment('MXNET_SAFE_ACCUMULATION', enforce_safe_acc):
+            for order in [1, 2]:
+                for dtype in [np.float16, np.float32, np.float64]:
+                    for i in range(in_data_dim):
+                        for out_dtype in ['float32', 'float64']:
+                            backward_dtype = np.float32 if out_dtype == 'float32' else np.float64
+                            accumulation_type = acc_type[dtype]
+                            if enforce_safe_acc == "0":
+                                backward_dtype = dtype
+                                out_dtype = dtype_to_str[dtype]
+                                accumulation_type = dtype
+                            skip_backward = 'int' in out_dtype
+                            in_data = np.random.uniform(-1, 1, in_shape).astype(accumulation_type)
+                            in_data[abs(in_data) < epsilon] = 2 * epsilon
+                            norm_sym = mx.symbol.norm(data=data, ord=order, axis=i, out_dtype=out_dtype, keepdims=True)
+                            npy_out = l1norm(in_data, i) if order is 1 else l2norm(in_data, i)
                             npy_out_backward = np.sign(in_data) if order is 1 else in_data/npy_out
-                            check_symbolic_forward(norm_sym, [in_data], [npy_out.astype(dtype)],
-                                                   rtol=1e-2 if dtype is np.float16 else 1e-3,
-                                                   atol=1e-4 if dtype is np.float16 else 1e-5, ctx=ctx)
+                            check_symbolic_forward(norm_sym, [in_data.astype(dtype)], [npy_out.astype(out_dtype)],
+                                                   rtol=1e-2 if dtype == np.float16 else 1e-3,
+                                                   atol=1e-4 if dtype == np.float16 else 1e-5, ctx=ctx, dtype=dtype)
                             if dtype is not np.float16 and not skip_backward:
-                                check_symbolic_backward(norm_sym, [in_data],
+                                check_symbolic_backward(norm_sym, [in_data.astype(dtype)],
                                                         [np.ones(npy_out.shape).astype(out_dtype)],
-                                                        [npy_out_backward.astype(out_dtype)],
-                                                        rtol=1e-3, atol=1e-5, ctx=ctx, dtype=backward_dtype)
-                            # check gradient
-                            if dtype is not np.float16 and not skip_backward:
-                                check_numeric_gradient(norm_sym, [in_data], numeric_eps=epsilon,
-                                                       rtol=1e-1, atol=1e-3, dtype=backward_dtype)
+                                                        [npy_out_backward], rtol=1e-3, atol=1e-5, ctx=ctx,
+                                                        dtype=backward_dtype)
+                                # Disable numeric gradient https://github.com/apache/incubator-mxnet/issues/11509
+                                # check gradient
+                                if dtype is not np.float16 and not skip_backward:
+                                    check_numeric_gradient(norm_sym, [in_data], numeric_eps=epsilon,
+                                                   rtol=1e-1, atol=1e-3, dtype=backward_dtype)
+                            if i < in_data_dim-1:
+                                norm_sym = mx.symbol.norm(data=data, ord=order, axis=(i, i+1), keepdims=True)
+                                npy_out = l1norm(in_data, (i, i+1)) if order is 1 else l2norm(in_data, (i, i+1))
+                                npy_out_backward = np.sign(in_data) if order is 1 else in_data/npy_out
+                                check_symbolic_forward(norm_sym, [in_data], [npy_out.astype(dtype)],
+                                                       rtol=1e-2 if dtype is np.float16 else 1e-3,
+                                                       atol=1e-4 if dtype is np.float16 else 1e-5, ctx=ctx)
+                                if dtype is not np.float16 and not skip_backward:
+                                    check_symbolic_backward(norm_sym, [in_data],
+                                                            [np.ones(npy_out.shape).astype(out_dtype)],
+                                                            [npy_out_backward.astype(out_dtype)],
+                                                            rtol=1e-3, atol=1e-5, ctx=ctx, dtype=backward_dtype)
+                                # check gradient
+                                if dtype is not np.float16 and not skip_backward:
+                                    check_numeric_gradient(norm_sym, [in_data], numeric_eps=epsilon,
+                                                           rtol=1e-1, atol=1e-3, dtype=backward_dtype)
 
 
 @pytest.mark.parametrize('enforce_safe_acc', ['1', '0'])
@@ -3555,19 +3557,19 @@ def l2norm(input_data, axis=0, keepdims=True):
 ])
 def test_layer_norm(enforce_safe_acc, dtype, forward_check_eps, backward_check_eps,
                     in_shape_l, finite_grad_check_l):
-    os.environ["MXNET_SAFE_ACCUMULATION"] = enforce_safe_acc
-    for in_shape, finite_grad_check in zip(in_shape_l, finite_grad_check_l):
-        for axis in range(-len(in_shape), len(in_shape)):
-            for eps in [1E-2, 1E-3]:
-                if dtype == np.float16:
-                    npy_grad_check = False
-                else:
-                    npy_grad_check = True
-                check_layer_normalization(in_shape, axis, eps, dtype=dtype,
-                                          forward_check_eps=forward_check_eps,
-                                          backward_check_eps=backward_check_eps,
-                                          npy_grad_check=npy_grad_check,
-                                          finite_grad_check=finite_grad_check)
+    with environment('MXNET_SAFE_ACCUMULATION', enforce_safe_acc):
+        for in_shape, finite_grad_check in zip(in_shape_l, finite_grad_check_l):
+            for axis in range(-len(in_shape), len(in_shape)):
+                for eps in [1E-2, 1E-3]:
+                    if dtype == np.float16:
+                        npy_grad_check = False
+                    else:
+                        npy_grad_check = True
+                    check_layer_normalization(in_shape, axis, eps, dtype=dtype,
+                                              forward_check_eps=forward_check_eps,
+                                              backward_check_eps=backward_check_eps,
+                                              npy_grad_check=npy_grad_check,
+                                              finite_grad_check=finite_grad_check)
 
 
 # Numpy Implementation of Sequence Ops
@@ -4074,7 +4076,7 @@ def get_large_matrix():
                 out_npy = gt_topk(dat=a_npy, axis=axis, ret_typ="value", k=a_npy.size, is_ascend=is_ascend)
             else:
                 out_npy = gt_topk(dat=a_npy, axis=axis, ret_typ="value", k=5, is_ascend=is_ascend)
-            check_numeric_gradient(b, location={'a': a_npy}, numeric_eps=1e-2, ctx=ctx)
+            check_numeric_gradient(b, location={'a': a_npy}, numeric_eps=1e-2, rtol=1e-2, ctx=ctx)
             check_symbolic_forward(b, location={'a': a_npy}, expected=[out_npy])
 
     b = mx.sym.topk(a, axis=1, is_ascend=is_ascend, ret_typ="indices", k=5)
@@ -4122,7 +4124,7 @@ def get_large_matrix():
                 for is_ascend in [True, False]:
                     b = mx.sym.topk(a, axis=axis, is_ascend=is_ascend, ret_typ="value", k=k)
                     out_npy = gt_topk(dat=a_npy, axis=axis, ret_typ="value", k=k, is_ascend=is_ascend)
-                    check_numeric_gradient(b, location={'a': a_npy}, numeric_eps=1e-2, ctx=ctx)
+                    check_numeric_gradient(b, location={'a': a_npy}, numeric_eps=1e-2, rtol=1e-2, ctx=ctx)
                     check_symbolic_forward(b, location={'a': a_npy}, expected=[out_npy])
 
         b = mx.sym.topk(a, axis=1, is_ascend=is_ascend, ret_typ="indices", k=5)
@@ -4285,7 +4287,7 @@ def test_grid_generator():
         # check forward
         exe.arg_dict['affine'][:] = np.array([[1.0,0,0,0,1.0,0]])
         exe.forward(is_train=True)
-        output = exe.outputs[0].asnumpy()
+        output = exe.outputs[0]
         output[0,0,:,:] = (output[0,0,:,:] + 1) * (target_shape[1] - 1) / 2.0
         output[0,1,:,:] = (output[0,1,:,:] + 1) * (target_shape[0] - 1) / 2.0
         xv, yv = np.meshgrid(np.arange(target_shape[0]), np.arange(target_shape[1]))
@@ -4300,7 +4302,7 @@ def test_grid_generator():
         tmp[1] = -1.0 + (np.arange(target_shape[0]*target_shape[1]) // target_shape[1]) * (2.0 / (target_shape[0]-1))
         tmp[2] = 1
         grad_est = np.dot(out_grad[0].reshape(2,target_shape[0]*target_shape[1]),tmp.T).reshape(1,6)
-        assert_almost_equal(exe.grad_dict['affine'], grad_est, rtol=1e-3, atol=1e-5)
+        assert_almost_equal(exe.grad_dict['affine'], grad_est)
         # check addto
         exe = grid._simple_bind(ctx=default_context(), affine=(1,6), grad_req='add')
         grid_grad_npy = np.random.normal(size=exe.grad_dict['affine'].shape)
@@ -4308,7 +4310,7 @@ def test_grid_generator():
         exe.arg_dict['affine'][:] = np.array([[1.0, 0, 0, 0, 1.0, 0]])
         exe.forward(is_train=True)
         exe.backward(mx.nd.array(out_grad))
-        assert_almost_equal(exe.grad_dict['affine'], grad_est + grid_grad_npy, rtol=1e-2, atol=1e-5)
+        assert_almost_equal(exe.grad_dict['affine'], grad_est + grid_grad_npy)
 
     # transform_type = warp
     test_case = [(12,21),(4,3),(6,12)]
@@ -4963,6 +4965,7 @@ def softmax_forward(input_data, true_output):
     softmax_forward(mx.nd.array([[[[3.4e38,3.4e38]]]]), np.array([1.0,1.0]))
 
 @with_seed()
+@with_environment('MXNET_SAFE_ACCUMULATION', '1')
 def test_softmax_dtype():
     def check_dtypes_almost_equal(op_name,
                                   atol, rtol,
@@ -4982,27 +4985,22 @@ def check_dtypes_almost_equal(op_name,
         ref_softmax.backward()
         assert_almost_equal(dtype_input.grad, ref_input.grad, rtol=grad_rtol, atol=grad_atol)
 
-    import sys
-    is_windows = sys.platform.startswith('win')
-    enforce_safe_acc = os.environ.get("MXNET_SAFE_ACCUMULATION", "0")
-    if not is_windows or enforce_safe_acc == "1":
-        os.environ["MXNET_SAFE_ACCUMULATION"] = "1"
-        check_dtypes_almost_equal('softmax', 1e-5, 1e-5, 1e-5, 1e-5, 'float16', 'float32')
-        check_dtypes_almost_equal('softmax', 1e-5, 1e-5, 1e-5, 1e-5, 'float16', 'float32', 'float32')
-        check_dtypes_almost_equal('softmax', 1e-5, 1e-5, 1e-5, 1e-5, 'float32', 'float64')
-        check_dtypes_almost_equal('softmax', 1e-5, 1e-5, 1e-5, 1e-5, 'float32', 'float64', 'float64')
-        check_dtypes_almost_equal('softmin', 1e-5, 1e-5, 1e-5, 1e-5, 'float16', 'float32')
-        check_dtypes_almost_equal('softmin', 1e-5, 1e-5, 1e-5, 1e-5, 'float16', 'float32', 'float32')
-        check_dtypes_almost_equal('softmin', 1e-5, 1e-5, 1e-5, 1e-5, 'float32', 'float64')
-        check_dtypes_almost_equal('softmin', 1e-5, 1e-5, 1e-5, 1e-5, 'float32', 'float64', 'float64')
-        check_dtypes_almost_equal('log_softmax', 1e-2, 1e-2, 1e-2, 1e-2,
-                                  'float16', 'float32')
-        check_dtypes_almost_equal('log_softmax', 1e-2, 1e-2, 1e-2, 1e-2,
-                                  'float16', 'float32', 'float32')
-        check_dtypes_almost_equal('log_softmax', 1e-3, 1e-3, 1e-3, 1e-3,
-                                  'float32', 'float64')
-        check_dtypes_almost_equal('log_softmax', 1e-3, 1e-3, 1e-3, 1e-3,
-                                  'float32', 'float64', 'float64')
+    check_dtypes_almost_equal('softmax', 1e-5, 1e-5, 1e-5, 1e-5, 'float16', 'float32')
+    check_dtypes_almost_equal('softmax', 1e-5, 1e-5, 1e-5, 1e-5, 'float16', 'float32', 'float32')
+    check_dtypes_almost_equal('softmax', 1e-5, 1e-5, 1e-5, 1e-5, 'float32', 'float64')
+    check_dtypes_almost_equal('softmax', 1e-5, 1e-5, 1e-5, 1e-5, 'float32', 'float64', 'float64')
+    check_dtypes_almost_equal('softmin', 1e-5, 1e-5, 1e-5, 1e-5, 'float16', 'float32')
+    check_dtypes_almost_equal('softmin', 1e-5, 1e-5, 1e-5, 1e-5, 'float16', 'float32', 'float32')
+    check_dtypes_almost_equal('softmin', 1e-5, 1e-5, 1e-5, 1e-5, 'float32', 'float64')
+    check_dtypes_almost_equal('softmin', 1e-5, 1e-5, 1e-5, 1e-5, 'float32', 'float64', 'float64')
+    check_dtypes_almost_equal('log_softmax', 1e-2, 1e-2, 1e-2, 1e-2,
+                              'float16', 'float32')
+    check_dtypes_almost_equal('log_softmax', 1e-2, 1e-2, 1e-2, 1e-2,
+                              'float16', 'float32', 'float32')
+    check_dtypes_almost_equal('log_softmax', 1e-3, 1e-3, 1e-3, 1e-3,
+                              'float32', 'float64')
+    check_dtypes_almost_equal('log_softmax', 1e-3, 1e-3, 1e-3, 1e-3,
+                              'float32', 'float64', 'float64')
 
 
 @with_seed()
@@ -5354,51 +5352,62 @@ def test_div_sqrt_dim():
     check_symbolic_forward(test, [data_tmp], [data_tmp / np.sqrt(data_tmp.shape[-1])])
 
 
+# helper function to identify inputs likely to fail check_numeric_gradient tol test
+# due to finite difference method inaccuracies or function discontuities at the origin
+def bad_input_finder(f, f_grad, dtype):
+    eps = default_numeric_eps()[np.dtype(dtype)]
+    rtol = default_rtols()[np.dtype(dtype)]
+    def expected_relative_error(x):
+        fd_gradient = (f(x+eps/2) - f(x-eps/2)) / eps
+        return abs(fd_gradient/f_grad(x) - 1)
+    def is_fd_problem_input(x):
+        return abs(x) < eps/2 or expected_relative_error(x) > rtol
+    return np.vectorize(is_fd_problem_input)
+
 @with_seed()
 def test_reciprocal_op():
-    eps = 2**(-11)
-    data_tmp = np.random.rand(3, 4) * 10 - 5
-    # Avoid possible division by 0 errors and finite difference method inaccuracies.
-    # Factor of 6 below set empirically, depends on eps.
-    # Issue exposed by seed 879579887.
-    # Replace problematic inputs with 1.0.
-    data_tmp[abs(data_tmp) < 6*eps] = 1.0
+    data_tmp = np.random.rand(3, 4).astype(np.float32) * 10 - 5
+
+    # Avoid possible division by 0 errors and finite difference method
+    # inaccuracies by replacing problem inputs with 1.0.
+    is_bad_input = bad_input_finder(np.reciprocal,
+                                    lambda x: -np.reciprocal(x)**2, np.float32)
+    data_tmp[is_bad_input(data_tmp)] = 1.0
     data = mx.symbol.Variable('data')
     test = mx.sym.reciprocal(data)
 
-    check_numeric_gradient(test, [data_tmp], numeric_eps = eps)
+    check_numeric_gradient(test, [data_tmp])
     check_symbolic_forward(test, [data_tmp], [np.reciprocal(data_tmp)])
 
 
 @with_seed()
 def test_cbrt_op():
-    eps = 2**(-11)
-    data_tmp = np.random.rand(3, 4) * 10 - 5
-    # Avoid finite difference method inaccuracies due to infinite gradient at the origin.
-    # Factor of 4 below set empirically, depends on eps.
-    # Issue exposed by seed 553872106.
-    # Replace problematic inputs with 1.0.
-    data_tmp[abs(data_tmp) < 4*eps] = 1.0
+    data_tmp = np.random.rand(3, 4).astype(np.float32) * 10 - 5
+
+    # Avoid possible division by 0 errors and finite difference method
+    # inaccuracies by replacing problem inputs with 1.0.
+    is_bad_input = bad_input_finder(np.cbrt,
+                                    lambda x: 1./(3 * np.cbrt(x)**2), np.float32)
+    data_tmp[is_bad_input(data_tmp)] = 1.0
     data = mx.symbol.Variable('data')
     test = mx.sym.cbrt(data)
-
-    check_numeric_gradient(test, [data_tmp], numeric_eps=eps)
+    check_numeric_gradient(test, [data_tmp])
     check_symbolic_forward(test, [data_tmp], [np.cbrt(data_tmp)])
 
 
 @with_seed()
 def test_rcbrt_op():
-    eps = 2**(-11)
-    data_tmp = np.random.rand(3, 4) * 10 - 5
-    # Avoid possible division by 0 errors and finite difference method inaccuracies.
-    # Factor of 4 below set empirically, depends on eps.
-    # Issue exposed by seed 788174893.
-    # Replace problematic inputs with 1.0.
-    data_tmp[abs(data_tmp) < 4*eps] = 1.0
+    data_tmp = np.random.rand(3, 4).astype(np.float32) * 10 - 5
+
+    # Avoid possible division by 0 errors and finite difference method
+    # inaccuracies by replacing problem inputs with 1.0.
+    is_bad_input = bad_input_finder(lambda x: 1./np.cbrt(x),
+                                    lambda x: -1./(3 * np.cbrt(x)**4), np.float32)
+    data_tmp[is_bad_input(data_tmp)] = 1.0
     data = mx.symbol.Variable('data')
     test = mx.sym.rcbrt(data)
 
-    check_numeric_gradient(test, [data_tmp], numeric_eps = eps)
+    check_numeric_gradient(test, [data_tmp])
     check_symbolic_forward(test, [data_tmp], [1/np.cbrt(data_tmp)])
 
 
@@ -5807,7 +5816,7 @@ def test_deformable_convolution():
                         # By now we only have gpu implementation
                         if default_context().device_type == 'gpu':
                             check_numeric_gradient(op, [im_data, offset_data, weight, bias], rtol=rtol, atol=atol,
-                                                   grad_nodes=grad_nodes, ctx=mx.gpu(0))
+                                                   grad_nodes=grad_nodes, ctx=mx.gpu(0), numeric_eps=1.0/64)
 
 
 def _validate_sample_location(input_rois, input_offset, spatial_scale, pooled_w, pooled_h, sample_per_part, part_size, output_dim, num_classes, trans_std, feat_h, feat_w):
@@ -5900,10 +5909,11 @@ def test_deformable_psroipooling():
                                                grad_nodes=grad_nodes, ctx=mx.gpu(0))
 
 
-def _gemm_test_helper(dtype, grad_check, rtol_fw = 1e-7, atol_fw = 1e-9):
-    num_eps = 1e-6
-    rtol_bw = 1e-5
-    atol_bw = 1e-6
+def _gemm_test_helper(dtype, grad_check, rtol_fw = None, atol_fw = None,
+                                         rtol_bw = None, atol_bw = None, num_eps = None):
+    def np_random_data(shape, dtype=np.float32):
+        return np.random.uniform(low=-0.5,
+                                 high=0.5, size=shape).astype(dtype)
 
     data1 = mx.symbol.Variable('data1')
     data2 = mx.symbol.Variable('data2')
@@ -5922,10 +5932,10 @@ def _gemm_test_helper(dtype, grad_check, rtol_fw = 1e-7, atol_fw = 1e-9):
     shape2 = (3, 2)
     shape3 = (3, 3)
     shape4 = (2, 2)
-    data_in1 = np.random.uniform(1, 10, shape1).astype(dtype)
-    data_in2 = np.random.uniform(1, 10, shape2).astype(dtype)
-    data_in3 = np.random.uniform(1, 10, shape3).astype(dtype)
-    data_in4 = np.random.uniform(1, 10, shape4).astype(dtype)
+    data_in1 = np_random_data(shape1, dtype)
+    data_in2 = np_random_data(shape2, dtype)
+    data_in3 = np_random_data(shape3, dtype)
+    data_in4 = np_random_data(shape4, dtype)
     # Check all transpositions of gemm operator.
     data_in1_t = np.transpose(data_in1)
     data_in2_t = np.transpose(data_in2)
@@ -6031,12 +6041,12 @@ def _gemm_test_helper(dtype, grad_check, rtol_fw = 1e-7, atol_fw = 1e-9):
 @with_seed()
 def test_gemm():
     _gemm_test_helper(np.float64, True)
-    os.environ["MXNET_CUDA_TENSOR_OP_MATH_ALLOW_CONVERSION"] = "0"
-    _gemm_test_helper(np.float32, False, rtol_fw = 1e-5, atol_fw = 1e-7)
+    with environment('MXNET_CUDA_TENSOR_OP_MATH_ALLOW_CONVERSION', '0'):
+        _gemm_test_helper(np.float32, True)
     if default_context().device_type == 'gpu':
-        os.environ["MXNET_CUDA_TENSOR_OP_MATH_ALLOW_CONVERSION"] = "1"
-        _gemm_test_helper(np.float32, False, rtol_fw = 2e-5, atol_fw = 2e-7)
-        os.environ["MXNET_CUDA_TENSOR_OP_MATH_ALLOW_CONVERSION"] = "0"
+        with environment('MXNET_CUDA_TENSOR_OP_MATH_ALLOW_CONVERSION', '1'):
+            _gemm_test_helper(np.float32, True)
+
 
 # Helper functions for test_laop
 
diff --git a/tests/python/unittest/test_profiler.py b/tests/python/unittest/test_profiler.py
index 3b83daa70e5b..eabebf48b785 100644
--- a/tests/python/unittest/test_profiler.py
+++ b/tests/python/unittest/test_profiler.py
@@ -64,10 +64,10 @@ def test_profiler():
 
     for i in range(iter_num):
         if i == begin_profiling_iter:
-            t0 = time.clock()
+            t0 = time.process_time()
             profiler.set_state('run')
         if i == end_profiling_iter:
-            t1 = time.clock()
+            t1 = time.process_time()
             profiler.set_state('stop')
         executor.forward()
         c = executor.outputs[0]
@@ -84,6 +84,7 @@ def test_profile_create_domain():
     profiler.set_state('stop')
 
 
+@pytest.mark.skip(reason="Flaky test https://github.com/apache/incubator-mxnet/issues/15406")
 def test_profile_create_domain_dept():
     profiler.set_config(profile_symbolic=True, filename='test_profile_create_domain_dept.json')
     profiler.set_state('run')
@@ -462,122 +463,3 @@ def test_custom_operator_profiling_naive_engine():
     run_in_spawned_process(custom_operator_profiling_multiple_custom_ops, \
             {'MXNET_ENGINE_TYPE' : "NaiveEngine"}, 'symbolic', \
             'test_custom_operator_profiling_multiple_custom_ops_symbolic_naive.json')
-
-
-@pytest.mark.skipif(mx.context.num_gpus() == 0, reason="GPU memory profiler records allocation on GPUs only")
-def test_gpu_memory_profiler_symbolic():
-    iter_num = 5
-
-    enable_profiler('test_profiler.json', False, False)
-    profiler.set_state('run')
-
-    with profiler.Scope("tensordot"):
-        A = mx.sym.Variable('A')
-        B = mx.sym.Variable('B')
-        C = mx.symbol.dot(A, B, name='dot')
-
-    executor = C._simple_bind(mx.gpu(), 'write', A=(4096, 4096), B=(4096, 4096))
-
-    a = mx.random.uniform(-1.0, 1.0, shape=(4096, 4096))
-    b = mx.random.uniform(-1.0, 1.0, shape=(4096, 4096))
-
-    a.copyto(executor.arg_dict['A'])
-    b.copyto(executor.arg_dict['B'])
-
-    for i in range(iter_num):
-        executor.forward()
-        c = executor.outputs[0]
-        mx.nd.waitall()
-    profiler.set_state('stop')
-    profiler.dump(True)
-
-    expected_alloc_entries = [
-            {'Attribute Name' : 'tensordot:in_arg:A',
-             'Requested Size' : str(4 * a.size)},
-            {'Attribute Name' : 'tensordot:in_arg:B',
-             'Requested Size' : str(4 * b.size)},
-            {'Attribute Name' : 'tensordot:dot',
-             'Requested Size' : str(4 * c.size)}]
-
-    # Sample gpu_memory_profile.csv:
-    # "Attribute Name","Requested Size","Device","Actual Size","Reuse?"
-    # "<unk>:_zeros","67108864","0","67108864","0"
-    # "<unk>:_zeros","67108864","0","67108864","0"
-    # "tensordot:dot","67108864","0","67108864","1"
-    # "tensordot:dot","67108864","0","67108864","1"
-    # "tensordot:in_arg:A","67108864","0","67108864","0"
-    # "tensordot:in_arg:B","67108864","0","67108864","0"
-    # "nvml_amend","1074790400","0","1074790400","0"
-
-    with open('gpu_memory_profile-pid_%d.csv' % (os.getpid()), mode='r') as csv_file:
-        csv_reader = csv.DictReader(csv_file)
-        for expected_alloc_entry in expected_alloc_entries:
-            csv_file.seek(0)
-            entry_found = False
-            for row in csv_reader:
-                if row['Attribute Name'] == expected_alloc_entry['Attribute Name']:
-                    assert row['Requested Size'] == expected_alloc_entry['Requested Size'], \
-                           "requested size={} is not equal to the expected size={}" \
-                           .format(row['Requested Size'],
-                                   expected_alloc_entry['Requested Size'])
-                    entry_found = True
-                    break
-            assert entry_found, \
-                   "Entry for attr_name={} has not been found" \
-                   .format(expected_alloc_entry['Attribute Name'])
-
-
-@pytest.mark.skipif(mx.context.num_gpus() == 0, reason="GPU memory profiler records allocation on GPUs only")
-@pytest.mark.skipif(is_cd_run(), reason="flaky test - open issue #18564")
-def test_gpu_memory_profiler_gluon():
-    enable_profiler(profile_filename='test_profiler.json',
-                    run=True, continuous_dump=True)
-    profiler.set_state('run')
-
-    model = nn.HybridSequential()
-    model.add(nn.Dense(128, activation='tanh'))
-    model.add(nn.Dropout(0.5))
-    model.add(nn.Dense(64, activation='tanh'),
-              nn.Dense(32, in_units=64))
-    model.add(nn.Activation('relu'))
-    model.initialize(ctx=mx.gpu())
-    model.hybridize()
-
-    inputs = mx.sym.var('data')
-
-    with mx.autograd.record():
-        out = model(mx.nd.zeros((16, 10), ctx=mx.gpu()))
-    out.backward()
-    mx.nd.waitall()
-    profiler.set_state('stop')
-    profiler.dump(True)
-
-    # We are only checking for weight parameters here, also making sure that
-    # there is no unknown entries in the memory profile.
-    with open('gpu_memory_profile-pid_%d.csv' % (os.getpid()), mode='r') as csv_file:
-        csv_reader = csv.DictReader(csv_file)
-        for row in csv_reader:
-            print(",".join(list(row.values())))
-        for scope in ['in_arg', 'arg_grad']:
-            for key, nd in model.collect_params().items():
-                expected_arg_name = "%s:%s:" % (model.name, scope) + nd.name
-                expected_arg_size = str(4 * np.prod(nd.shape))
-                csv_file.seek(0)
-                entry_found = False
-                for row in csv_reader:
-                    if row['Attribute Name'] == expected_arg_name:
-                        assert row['Requested Size'] == expected_arg_size, \
-                            "requested size={} is not equal to the expected size={}" \
-                            .format(row['Requested Size'], expected_arg_size)
-                        entry_found = True
-                        break
-                assert entry_found, \
-                    "Entry for attr_name={} has not been found" \
-                    .format(expected_arg_name)
-        # Make sure that there is no unknown allocation entry.
-        csv_file.seek(0)
-        for row in csv_reader:
-            if row['Attribute Name'] == "<unk>:unknown" or \
-               row['Attribute Name'] == "<unk>:":
-                assert False, "Unknown allocation entry has been encountered"
-
diff --git a/tests/python/unittest/test_runtime.py b/tests/python/unittest/test_runtime.py
index d7017cfbfbb2..f1811554ba2d 100644
--- a/tests/python/unittest/test_runtime.py
+++ b/tests/python/unittest/test_runtime.py
@@ -26,7 +26,7 @@ def test_features():
     features = Features()
     print(features)
     assert 'CUDA' in features
-    assert len(features) >= 30
+    assert len(features) >= 20
 
 
 def test_is_singleton():
diff --git a/tests/python/unittest/test_sparse_ndarray.py b/tests/python/unittest/test_sparse_ndarray.py
index 4e122453ff7b..31c9cb8403b3 100644
--- a/tests/python/unittest/test_sparse_ndarray.py
+++ b/tests/python/unittest/test_sparse_ndarray.py
@@ -18,6 +18,7 @@
 import pickle as pkl
 
 from mxnet.ndarray import NDArray
+import mxnet as mx
 from mxnet.test_utils import *
 from common import setup_module, with_seed, random_seed, teardown_module
 from mxnet.base import mx_real_t
@@ -623,7 +624,7 @@ def check_create_csr_from_nd(shape, density, dtype):
         # verify csr matrix dtype and ctx is consistent from the ones provided
         assert csr_created.dtype == dtype, (csr_created, dtype)
         assert csr_created.data.dtype == dtype, (csr_created.data.dtype, dtype)
-        assert csr_created.context == Context.default_ctx, (csr_created.context, Context.default_ctx)
+        assert csr_created.context == mx.context.current_context(), (csr_created.context, mx.context.current_context())
         csr_copy = mx.nd.array(csr_created)
         assert(same(csr_copy.asnumpy(), csr_created.asnumpy()))
 
@@ -641,7 +642,7 @@ def check_create_csr_from_coo(shape, density, dtype):
         # verify csr matrix dtype and ctx is consistent
         assert csr_created.dtype == dtype, (csr_created.dtype, dtype)
         assert csr_created.data.dtype == dtype, (csr_created.data.dtype, dtype)
-        assert csr_created.context == Context.default_ctx, (csr_created.context, Context.default_ctx)
+        assert csr_created.context == mx.context.current_context(), (csr_created.context, mx.context.current_context())
 
     def check_create_csr_from_scipy(shape, density, f):
         def assert_csr_almost_equal(nd, sp):
@@ -768,7 +769,7 @@ def check_create_from_dns(shape, f, dense_arr, dtype, default_dtype, ctx):
         # verify the default dtype inferred from dense arr
         arr2 = f(dense_arr)
         assert(arr2.dtype == default_dtype)
-        assert(arr2.context == Context.default_ctx)
+        assert(arr2.context == mx.context.current_context())
     shape = rand_shape_2d()
     dtype = np.int32
     src_dtype = np.float64
@@ -791,7 +792,7 @@ def check_create_from_sp(shape, f, sp_arr, dtype, src_dtype, ctx):
         # verify the default dtype inferred from dense arr
         arr2 = f(sp_arr)
         assert(arr2.dtype == src_dtype)
-        assert(arr2.context == Context.default_ctx)
+        assert(arr2.context == mx.context.current_context())
 
     shape = rand_shape_2d()
     src_dtype = np.float64
@@ -830,7 +831,7 @@ def check_csr_empty(shape, dtype, ctx):
         # check the default value for dtype and ctx
         arr = mx.nd.sparse.csr_matrix(shape)
         assert(arr.dtype == np.float32)
-        assert(arr.context == Context.default_ctx)
+        assert(arr.context == mx.context.current_context())
 
     def check_rsp_empty(shape, dtype, ctx):
         arr = mx.nd.sparse.row_sparse_array(shape, dtype=dtype, ctx=ctx)
@@ -841,7 +842,7 @@ def check_rsp_empty(shape, dtype, ctx):
         # check the default value for dtype and ctx
         arr = mx.nd.sparse.row_sparse_array(shape)
         assert(arr.dtype == np.float32)
-        assert(arr.context == Context.default_ctx)
+        assert(arr.context == mx.context.current_context())
 
     stypes = ['csr', 'row_sparse']
     shape = rand_shape_2d()
diff --git a/tests/python/unittest/test_sparse_operator.py b/tests/python/unittest/test_sparse_operator.py
index 26f6829e61a7..8bc086e14e52 100644
--- a/tests/python/unittest/test_sparse_operator.py
+++ b/tests/python/unittest/test_sparse_operator.py
@@ -155,6 +155,7 @@ def all_zero(var):
     return 0
 
 @with_seed()
+@pytest.mark.skip(reason="https://github.com/apache/incubator-mxnet/issues/18740")
 def test_elemwise_binary_ops():
     # skip testing on GPU because only CPU ops are implemented
     if default_context().device_type is 'gpu':
@@ -1597,6 +1598,7 @@ def test_fallback(func_name, axis=0, keepdims=True, exclude=True):
 
 
 @with_seed()
+@pytest.mark.serial
 def test_sparse_square_sum():
     dim0 = 30
     dim1 = 30
diff --git a/tests/python/unittest/test_subgraph_op.py b/tests/python/unittest/test_subgraph_op.py
index c8ddaf84de6d..9771a18618d8 100644
--- a/tests/python/unittest/test_subgraph_op.py
+++ b/tests/python/unittest/test_subgraph_op.py
@@ -21,7 +21,7 @@
 from mxnet.base import SymbolHandle, check_call, _LIB, mx_uint, c_str_array, c_str, mx_real_t
 from mxnet.symbol import Symbol
 import numpy as np
-from mxnet.test_utils import assert_almost_equal
+from mxnet.test_utils import assert_almost_equal, environment
 from mxnet import gluon
 from mxnet.gluon import nn
 from mxnet import nd
@@ -145,10 +145,6 @@ def test_subgraph_exe2(sym, subgraph_backend, op_names):
     """Use env var MXNET_SUBGRAPH_BACKEND=default to trigger graph partitioning in _simple_bind
     and compare results of the partitioned sym and the original sym."""
     def get_executor(sym, subgraph_backend=None, op_names=None, original_exec=None):
-        if subgraph_backend is not None:
-            os.environ['MXNET_SUBGRAPH_BACKEND'] = subgraph_backend
-            check_call(_LIB.MXSetSubgraphPropertyOpNames(c_str(subgraph_backend), mx_uint(len(op_names)),
-                                                         c_str_array(op_names)))
         exe = sym._simple_bind(ctx=mx.current_context(), grad_req='null')
         input_names = sym.list_inputs()
         for name in input_names:
@@ -160,14 +156,15 @@ def get_executor(sym, subgraph_backend=None, op_names=None, original_exec=None):
                 exe.aux_dict[name][:] = mx.nd.random.uniform(shape=exe.aux_dict[name].shape)\
                     if original_exec is None else original_exec.aux_dict[name]
         exe.forward()
-        if subgraph_backend is not None:
-            check_call(_LIB.MXRemoveSubgraphPropertyOpNames(c_str(subgraph_backend)))
-            del os.environ['MXNET_SUBGRAPH_BACKEND']
         return exe
     sym, _, _ = sym
 
     original_exec = get_executor(sym)
-    partitioned_exec = get_executor(sym, subgraph_backend, op_names, original_exec)
+    with environment('MXNET_SUBGRAPH_BACKEND', subgraph_backend):
+        check_call(_LIB.MXSetSubgraphPropertyOpNames(c_str(subgraph_backend), mx_uint(len(op_names)),
+                                                     c_str_array(op_names)))
+        partitioned_exec = get_executor(sym, subgraph_backend, op_names, original_exec)
+        check_call(_LIB.MXRemoveSubgraphPropertyOpNames(c_str(subgraph_backend)))
     outputs1 = original_exec.outputs
     outputs2 = partitioned_exec.outputs
     assert len(outputs1) == len(outputs2)
@@ -210,10 +207,6 @@ def test_subgraph_exe4(sym, subgraph_backend, op_names):
     """Use env var MXNET_SUBGRAPH_BACKEND=default to trigger graph partitioning in bind
     and compare results of the partitioned sym and the original sym."""
     def get_executor(sym, subgraph_backend=None, op_names=None, original_exec=None):
-        if subgraph_backend is not None:
-            os.environ['MXNET_SUBGRAPH_BACKEND'] = subgraph_backend
-            check_call(_LIB.MXSetSubgraphPropertyOpNames(c_str(subgraph_backend), mx_uint(len(op_names)),
-                                                         c_str_array(op_names)))
         arg_shapes, _, aux_shapes = sym.infer_shape()
         if subgraph_backend is None:
             arg_array = [mx.nd.random.uniform(shape=shape) for shape in arg_shapes]
@@ -226,14 +219,15 @@ def get_executor(sym, subgraph_backend=None, op_names=None, original_exec=None):
                        aux_states=aux_array if subgraph_backend is None else original_exec.aux_arrays,
                        grad_req='null')
         exe.forward()
-        if subgraph_backend is not None:
-            check_call(_LIB.MXRemoveSubgraphPropertyOpNames(c_str(subgraph_backend)))
-            del os.environ['MXNET_SUBGRAPH_BACKEND']
         return exe
 
     sym, _, _ = sym
     original_exec = get_executor(sym)
-    partitioned_exec = get_executor(sym, subgraph_backend, op_names, original_exec)
+    with environment('MXNET_SUBGRAPH_BACKEND', subgraph_backend):
+        check_call(_LIB.MXSetSubgraphPropertyOpNames(c_str(subgraph_backend), mx_uint(len(op_names)),
+                                                     c_str_array(op_names)))
+        partitioned_exec = get_executor(sym, subgraph_backend, op_names, original_exec)
+        check_call(_LIB.MXRemoveSubgraphPropertyOpNames(c_str(subgraph_backend)))
     outputs1 = original_exec.outputs
     outputs2 = partitioned_exec.outputs
     assert len(outputs1) == len(outputs2)
diff --git a/tests/python/unittest/test_symbol.py b/tests/python/unittest/test_symbol.py
index 1c84af0c668e..f93649afbe78 100644
--- a/tests/python/unittest/test_symbol.py
+++ b/tests/python/unittest/test_symbol.py
@@ -25,7 +25,7 @@
 import numpy as np
 from common import assertRaises, models, TemporaryDirectory
 from mxnet.base import NotImplementedForSymbol
-from mxnet.test_utils import discard_stderr, rand_shape_nd, use_np
+from mxnet.test_utils import discard_stderr, rand_shape_nd, use_np, environment
 from mxnet.util import np_shape
 import pickle as pkl
 
@@ -342,15 +342,6 @@ def test_gen_atomic_symbol_multiple_outputs():
 
 
 def test_eliminate_common_expr():
-    if not sys.platform.startswith('linux'):
-        logging.info("Bypass the CSE test on non-Linux OS as setting env variables during test does not work on Windows")
-        return
-    def set_back_env_var(var_name, old_env_var):
-        if old_env_var is None:
-            os.environ.pop(var_name)
-        else:
-            os.environ[var_name] = old_env_var
-
     # helper function to test a single model
     def check_cse_on_symbol(sym, expected_savings, check_data, **kwargs):
         inputs = sym.list_inputs()
@@ -363,41 +354,36 @@ def check_cse_on_symbol(sym, expected_savings, check_data, **kwargs):
                 'float32' : 1e-7,
                 'float64' : 1e-7,
                 }
-        env_var_name = 'MXNET_ELIMINATE_COMMON_EXPR'
-        old_env_var = os.environ.get(env_var_name, None)
-        try:
-            for dtype in ['float16', 'float32', 'float64']:
-                data = {inp : kwargs[inp].astype(dtype) for inp in inputs}
-                for grad_req in ['write', 'add']:
-                    type_dict = {inp : dtype for inp in inputs}
-                    os.environ[env_var_name] = '0'
+        for dtype in ['float16', 'float32', 'float64']:
+            data = {inp : kwargs[inp].astype(dtype) for inp in inputs}
+            for grad_req in ['write', 'add']:
+                type_dict = {inp : dtype for inp in inputs}
+                with environment({'MXNET_ELIMINATE_COMMON_EXPR': '0'}):
                     orig_exec = sym._simple_bind(ctx=mx.cpu(0), grad_req=grad_req,
                                                 type_dict=type_dict, **shapes)
-                    os.environ[env_var_name] = '1'
+                with environment({'MXNET_ELIMINATE_COMMON_EXPR': '1'}):
                     cse_exec = sym._simple_bind(ctx=mx.cpu(0), grad_req=grad_req,
                                                type_dict=type_dict, **shapes)
-                    fwd_orig = orig_exec.forward(is_train=True, **data)
-                    out_grads = [mx.nd.ones_like(arr) for arr in fwd_orig]
-                    orig_exec.backward(out_grads=out_grads)
-                    fwd_cse = cse_exec.forward(is_train=True, **data)
-                    cse_exec.backward(out_grads=out_grads)
-                    if check_data:
-                        for orig, cse in zip(fwd_orig, fwd_cse):
-                            np.testing.assert_allclose(orig.asnumpy(), cse.asnumpy(),
-                                                       rtol=rtol[dtype], atol=atol[dtype])
-                        for orig, cse in zip(orig_exec.grad_arrays, cse_exec.grad_arrays):
-                            if orig is None and cse is None:
-                                continue
-                            assert orig is not None
-                            assert cse is not None
-                            np.testing.assert_allclose(orig.asnumpy(), cse.asnumpy(),
-                                                       rtol=rtol[dtype], atol=atol[dtype])
-                    orig_sym_internals = orig_exec.get_optimized_symbol().get_internals()
-                    cse_sym_internals = cse_exec.get_optimized_symbol().get_internals()
-                    # test that the graph has been simplified as expected
-                    assert (len(cse_sym_internals) + expected_savings) == len(orig_sym_internals)
-        finally:
-            set_back_env_var(env_var_name, old_env_var)
+                fwd_orig = orig_exec.forward(is_train=True, **data)
+                out_grads = [mx.nd.ones_like(arr) for arr in fwd_orig]
+                orig_exec.backward(out_grads=out_grads)
+                fwd_cse = cse_exec.forward(is_train=True, **data)
+                cse_exec.backward(out_grads=out_grads)
+                if check_data:
+                    for orig, cse in zip(fwd_orig, fwd_cse):
+                        np.testing.assert_allclose(orig.asnumpy(), cse.asnumpy(),
+                                                   rtol=rtol[dtype], atol=atol[dtype])
+                    for orig, cse in zip(orig_exec.grad_arrays, cse_exec.grad_arrays):
+                        if orig is None and cse is None:
+                            continue
+                        assert orig is not None
+                        assert cse is not None
+                        np.testing.assert_allclose(orig.asnumpy(), cse.asnumpy(),
+                                                   rtol=rtol[dtype], atol=atol[dtype])
+                orig_sym_internals = orig_exec.get_optimized_symbol().get_internals()
+                cse_sym_internals = cse_exec.get_optimized_symbol().get_internals()
+                # test that the graph has been simplified as expected
+                assert (len(cse_sym_internals) + expected_savings) == len(orig_sym_internals)
 
     a = mx.sym.Variable('a')
     b = mx.sym.Variable('b')
@@ -479,3 +465,13 @@ def test_infershape_happens_for_all_ops_in_graph():
 
     assert False
 
+def test_symbol_copy():
+    a = mx.sym.Variable('a')
+    b = copy.copy(a)
+    b._set_attr(name='b')
+    assert a.name == 'a' and b.name == 'b'
+
+    a = mx.sym.Variable('a').as_np_ndarray()
+    b = copy.copy(a)
+    b._set_attr(name='b')
+    assert a.name == 'a' and b.name == 'b'
diff --git a/tests/python/unittest/test_thread_local.py b/tests/python/unittest/test_thread_local.py
index 521bc834c4f5..05308a2d3dfd 100644
--- a/tests/python/unittest/test_thread_local.py
+++ b/tests/python/unittest/test_thread_local.py
@@ -18,21 +18,19 @@
 import threading
 import numpy as np
 import mxnet as mx
-from mxnet import context, attribute, name
-from mxnet.gluon import block
+from mxnet import context, attribute
 from mxnet.context import Context
 from mxnet.attribute import AttrScope
-from mxnet.name import NameManager
 from mxnet.test_utils import assert_almost_equal, set_default_context
 from mxnet.util import _NumpyArrayScope, set_np_shape
 
 
 def test_context():
     ctx_list = []
-    ctx_list.append(Context.default_ctx)
+    ctx_list.append(context.current_context())
     def f():
         set_default_context(mx.gpu(11))
-        ctx_list.append(Context.default_ctx)
+        ctx_list.append(context.current_context())
     thread = threading.Thread(target=f)
     thread.start()
     thread.join()
@@ -41,95 +39,107 @@ def f():
     assert Context.devtype2str[ctx_list[1].device_typeid] == "gpu"
     assert ctx_list[1].device_id == 11
 
-    event = threading.Event()
+    e1 = threading.Event()
+    e2 = threading.Event()
     status = [False]
     def g():
         with mx.cpu(10):
-            event.wait()
-            if Context.default_ctx.device_id == 10:
+            e2.set()
+            e1.wait()
+            if context.current_context().device_id == 10:
                 status[0] = True
     thread = threading.Thread(target=g)
     thread.start()
-    Context.default_ctx = Context("cpu", 11)
-    event.set()
-    thread.join()
-    event.clear()
+    e2.wait()
+    with Context("cpu", 11):
+        e1.set()
+        thread.join()
+    e1.clear()
+    e2.clear()
     assert status[0], "Spawned thread didn't set the correct context"
 
 def test_attrscope():
     attrscope_list = []
-    AttrScope.current = AttrScope(y="hi", z="hey")
-    attrscope_list.append(AttrScope.current)
-    def f():
-        AttrScope.current = AttrScope(x="hello")
-        attrscope_list.append(AttrScope.current)
-    thread = threading.Thread(target=f)
-    thread.start()
-    thread.join()
-    assert len(attrscope_list[0]._attr) == 2
-    assert attrscope_list[1]._attr["x"] == "hello"
+    with AttrScope(y="hi", z="hey") as attrscope:
+        attrscope_list.append(attrscope)
 
-    event = threading.Event()
+        def f():
+            with AttrScope(x="hello") as attrscope:
+                attrscope_list.append(attrscope)
+
+        thread = threading.Thread(target=f)
+        thread.start()
+        thread.join()
+        assert len(attrscope_list[0]._attr) == 2
+        assert attrscope_list[1]._attr["x"] == "hello"
+
+    e1 = threading.Event()
+    e2 = threading.Event()
     status = [False]
     def g():
         with mx.AttrScope(x="hello"):
-            event.wait()
-            if "hello" in AttrScope.current._attr.values():
+            e2.set()
+            e1.wait()
+            if "hello" in mx.attribute.current()._attr.values():
                 status[0] = True
     thread = threading.Thread(target=g)
     thread.start()
-    AttrScope.current = AttrScope(x="hi")
-    event.set()
-    thread.join()
-    AttrScope.current = AttrScope()
-    event.clear()
+    e2.wait()
+    with AttrScope(x="hi"):
+        e1.set()
+        thread.join()
+    e1.clear()
+    e2.clear()
     assert status[0], "Spawned thread didn't set the correct attr key values"
 
 def test_name():
     name_list = []
-    NameManager.current = NameManager()
-    NameManager.current.get(None, "main_thread")
-    name_list.append(NameManager.current)
+    name_manager = mx.name.current()
+    name_manager.get(None, "main_thread")
+    name_list.append(name_manager)
     def f():
-        NameManager.current = NameManager()
-        NameManager.current.get(None, "spawned_thread")
-        name_list.append(NameManager.current)
+        with mx.name.NameManager():
+            name_manager = mx.name.current()
+            name_manager.get(None, "spawned_thread")
+            name_list.append(name_manager)
     thread = threading.Thread(target=f)
     thread.start()
     thread.join()
     assert "main_thread" in name_list[0]._counter, "cannot find the string `main thread` in name_list[0]._counter"
     assert "spawned_thread" in name_list[1]._counter, "cannot find the string `spawned thread` in name_list[1]._counter"
 
-    event = threading.Event()
+    e1 = threading.Event()
+    e2 = threading.Event()
     status = [False]
     def g():
-        with NameManager():
-            if "main_thread" not in NameManager.current._counter:
+        with mx.name.NameManager():
+            e2.set()
+            e1.wait()
+            if "main_thread" not in mx.name.current()._counter:
                 status[0] = True
     thread = threading.Thread(target=g)
     thread.start()
-    NameManager.current = NameManager()
-    NameManager.current.get(None, "main_thread")
-    event.set()
-    thread.join()
-    event.clear()
+    e2.wait()
+    with mx.name.NameManager():
+        mx.name.current().get(None, "main_thread")
+        e1.set()
+        thread.join()
+    e1.clear()
+    e2.clear()
     assert status[0], "Spawned thread isn't using thread local NameManager"
 
 def test_blockscope():
-    class dummy_block(object):
-        def __init__(self, prefix):
-            self.name = prefix
-            self._empty_prefix = False
-            self._profiler_scope_name = '<unk>:'
+    class dummy_block:
+        pass
     blockscope_list = []
     status = [False]
     event = threading.Event()
     def f():
-        net = dummy_block("spawned")  # BlockScope only keeps a weakref to the Block
-        with block._BlockScope(net):
-            x = NameManager.current.get(None, "hello")
+        net = dummy_block()  # BlockScope only keeps a weakref to the Block
+        with mx.gluon.block._block_scope(net):
+            x = mx.name.current().get(None, "hello")
             event.wait()
-            if x == "spawned_hello0":
+            if x == "dummy_block_hello0":
                 status[0] = True
     thread = threading.Thread(target=f)
     thread.start()
@@ -220,40 +230,3 @@ def f():
         assert_almost_equal(data[1].asnumpy(), np.ones(shape=(0, 1, 2)))
     finally:
         set_np_shape(0)
-
-def test_blockscope_multithread():
-    event = threading.Event()
-    status = [False]
-
-    class dummy_block(object):
-        def __init__(self, prefix):
-            self.prefix = prefix
-            self._profiler_scope_name = prefix
-            self._empty_prefix = False
-    
-    def f(scope):
-        try:
-            with scope:
-                event.wait()
-        except:
-            status[0] = True
-
-    def g(scope):
-        with scope:
-            pass
-        event.set()
-
-    scope = block._BlockScope(dummy_block("scope_"))
-    count = 2
-    threads = [threading.Thread(target=f, args=(scope,)),
-               threading.Thread(target=g, args=(scope,))]
-    for i in range(count):
-        threads[i].start()
-    for i in range(count):
-        threads[i].join()
-    assert status[0] is False, "_BlockScope does not work with multithread"
-
-
-if __name__ == '__main__':
-    import nose
-    nose.runmodule()
diff --git a/tools/dependencies/cityhash.sh b/tools/dependencies/cityhash.sh
index 6bc663e906fa..4e6c7fb776a6 100755
--- a/tools/dependencies/cityhash.sh
+++ b/tools/dependencies/cityhash.sh
@@ -20,6 +20,12 @@
 # This script builds the static library of cityhash that can be used as dependency of mxnet.
 set -ex
 CITYHASH_VERSION=1.1.1
+if [[ $PLATFORM == 'darwin' ]]; then
+    DY_EXT="dylib"
+else
+    DY_EXT="so"
+fi
+
 if [[ ! -f $DEPS_PATH/lib/libcityhash.a ]]; then
     # Download and build cityhash
     >&2 echo "Building cityhash..."
@@ -30,5 +36,6 @@ if [[ ! -f $DEPS_PATH/lib/libcityhash.a ]]; then
     ./configure -prefix=$DEPS_PATH --enable-sse4.2
     $MAKE CXXFLAGS="-g -O3 -msse4.2"
     $MAKE install
+    rm $DEPS_PATH/lib/*cityhash*$DY_EXT*
     popd
 fi
diff --git a/tools/dependencies/libpng.sh b/tools/dependencies/libpng.sh
index 39fa24c87ecd..93f1823da641 100755
--- a/tools/dependencies/libpng.sh
+++ b/tools/dependencies/libpng.sh
@@ -20,8 +20,7 @@
 # This script builds the static library of libpng that can be used as dependency of mxnet/opencv.
 set -ex
 PNG_VERSION=1.6.35
-if [[ ! -f $DEPS_PATH/lib/libpng.a ]]; then
-    # download and build libpng
+if [[ ! -f $DEPS_PATH/lib/libpng.a ]] && [[ ! -f $DEPS_PATH/lib64/libpng.a ]]; then    # download and build libpng
     >&2 echo "Building libpng..."
     download \
         https://github.com/glennrp/libpng/archive/v${PNG_VERSION}.zip \
diff --git a/tools/dependencies/libturbojpeg.sh b/tools/dependencies/libturbojpeg.sh
index 911827a16fcf..88b8ec45a193 100755
--- a/tools/dependencies/libturbojpeg.sh
+++ b/tools/dependencies/libturbojpeg.sh
@@ -25,8 +25,8 @@ if [[ $PLATFORM == 'darwin' ]]; then
     JPEG_NASM_OPTION="-D CMAKE_ASM_NASM_COMPILER=/usr/local/bin/nasm"
 fi
 
-if [[ ! -f $DEPS_PATH/lib/libjpeg.a ]] || [[ ! -f $DEPS_PATH/lib/libturbojpeg.a ]]; then
-    # download and build libjpeg
+if [[ ( ! -f $DEPS_PATH/lib/libjpeg.a ) || ( ! -f $DEPS_PATH/lib/libturbojpeg.a ) ]] && \
+       [[ ( ! -f $DEPS_PATH/lib64/libjpeg.a ) || ( ! -f $DEPS_PATH/lib64/libturbojpeg.a ) ]]; then    # download and build libjpeg
     >&2 echo "Building libjpeg-turbo..."
     download \
         https://github.com/libjpeg-turbo/libjpeg-turbo/archive/${TURBO_JPEG_VERSION}.zip \
diff --git a/tools/dependencies/lz4.sh b/tools/dependencies/lz4.sh
index ce72908fdc2b..ec4b04576a86 100755
--- a/tools/dependencies/lz4.sh
+++ b/tools/dependencies/lz4.sh
@@ -20,6 +20,12 @@
 # This script builds the static library of lz4 that can be used as dependency of mxnet.
 set -ex
 LZ4_VERSION=r130
+if [[ $PLATFORM == 'darwin' ]]; then
+    DY_EXT="dylib"
+else
+    DY_EXT="so"
+fi
+
 if [[ ! -f $DEPS_PATH/lib/liblz4.a ]]; then
     # Download and build lz4
     >&2 echo "Building lz4..."
@@ -31,5 +37,6 @@ if [[ ! -f $DEPS_PATH/lib/liblz4.a ]]; then
     cd $DEPS_PATH/lz4-$LZ4_VERSION
     $MAKE
     $MAKE PREFIX=$DEPS_PATH install
+    rm $DEPS_PATH/lib/*lz4*$DY_EXT*
     popd
 fi
diff --git a/tools/dependencies/openblas.sh b/tools/dependencies/openblas.sh
index dad566ff877d..12cad3ee2037 100755
--- a/tools/dependencies/openblas.sh
+++ b/tools/dependencies/openblas.sh
@@ -19,39 +19,22 @@
 
 # This script builds the static library of openblas that can be used as dependency of mxnet.
 set -ex
-OPENBLAS_VERSION=4a4c50a7cef9fa91f14e508722f502d956ad5192
-if [[ ((! -e $DEPS_PATH/lib/libopenblas.a) && -z "$CMAKE_STATICBUILD") ||
-          ((! -e $DEPS_PATH/lib/libopenblas.so) && -v CMAKE_STATICBUILD) ]]; then
-    # download and build openblas
+OPENBLAS_VERSION=0.3.10
+if [[ (! -e $DEPS_PATH/lib/libopenblas.a) ]]; then
     >&2 echo "Building openblas..."
 
     download \
-        https://github.com/xianyi/OpenBLAS/archive/${OPENBLAS_VERSION}.zip \
+        https://github.com/xianyi/OpenBLAS/archive/v${OPENBLAS_VERSION}.zip \
         ${DEPS_PATH}/openblas.zip
     unzip -q $DEPS_PATH/openblas.zip -d $DEPS_PATH
     pushd .
     cd $DEPS_PATH/OpenBLAS-${OPENBLAS_VERSION}
 
     # Adding NO_DYNAMIC=1 flag causes make install to fail
-    CXX="g++ -fPIC" CC="gcc -fPIC" $MAKE DYNAMIC_ARCH=1 DYNAMIC_OLDER=1 USE_OPENMP=1
-
-    if [[ -v CMAKE_STATICBUILD ]]; then
-        # We link and redistribute libopenblas.so for cmake staticbuild
-        # cf https://gitlab.kitware.com/cmake/cmake/issues/16221#note_143330
-        patchelf --set-rpath '$ORIGIN' --force-rpath libopenblas.so
-    fi
+    CFLAGS="-fPIC" CXXFLAGS="-fPIC" $MAKE DYNAMIC_ARCH=1 DYNAMIC_OLDER=1 USE_OPENMP=1
+    patchelf --set-rpath '$ORIGIN' --force-rpath libopenblas.so
 
     $MAKE PREFIX=$DEPS_PATH install
 
-
-    if [[ -z "$CMAKE_STATICBUILD" ]]; then
-        # Manually removing .so to avoid linking against it
-        rm $DEPS_PATH/lib/libopenblas*.so
-    fi
-
     popd
-    if [[ -z "$CMAKE_STATICBUILD" ]]; then
-        ln -s libopenblas.a $DEPS_PATH/lib/libcblas.a
-        ln -s libopenblas.a $DEPS_PATH/lib/liblapack.a
-    fi
 fi
diff --git a/tools/dependencies/opencv.sh b/tools/dependencies/opencv.sh
index 139b68c5bef0..fce8c1547757 100755
--- a/tools/dependencies/opencv.sh
+++ b/tools/dependencies/opencv.sh
@@ -46,7 +46,7 @@ if [[ ! -f $DEPS_PATH/lib/libopencv_core.a ]] || [[ ! -f $DEPS_PATH/lib/libopenc
     mkdir -p $DEPS_PATH/opencv-$OPENCV_VERSION/build
     pushd .
     cd $DEPS_PATH/opencv-$OPENCV_VERSION/build
-    CXX="g++ -fPIC" CC="gcc -fPIC" cmake \
+    CFLAGS="-fPIC" CXXFLAGS="-fPIC"  cmake \
           -D OPENCV_ENABLE_NONFREE=OFF \
           -D WITH_1394=OFF \
           -D WITH_ARAVIS=OFF \
diff --git a/tools/dependencies/openssl.sh b/tools/dependencies/openssl.sh
index 78673a3ac84b..cc989a254057 100755
--- a/tools/dependencies/openssl.sh
+++ b/tools/dependencies/openssl.sh
@@ -20,8 +20,8 @@
 # This script builds the static library of openssl that can be used as dependency of mxnet.
 set -ex
 OPENSSL_VERSION=1.1.1b
-if [[ ! -f $DEPS_PATH/lib/libssl.a ]] || [[ ! -f $DEPS_PATH/lib/libcrypto.a ]]; then
-    # download and build openssl
+if [[ ( ! -f $DEPS_PATH/lib/libssl.a ) || ( ! -f $DEPS_PATH/lib/libcrypto.a ) ]] && \
+       [[ ( ! -f $DEPS_PATH/lib64/libssl.a ) || ( ! -f $DEPS_PATH/lib64/libcrypto.a ) ]]; then    # download and build openssl
     >&2 echo "Building openssl..."
     OPENSSL_VERSION=$(echo $OPENSSL_VERSION | sed 's/\./_/g')
     download \
diff --git a/tools/dependencies/protobuf.sh b/tools/dependencies/protobuf.sh
index 7da4c2537b42..4b58a1cd31ff 100755
--- a/tools/dependencies/protobuf.sh
+++ b/tools/dependencies/protobuf.sh
@@ -20,11 +20,6 @@
 # This script builds the static library of protobuf along with protoc, that can be used as dependency of mxnet.
 set -ex
 PROTOBUF_VERSION=3.5.1
-if [[ $PLATFORM == 'darwin' ]]; then
-    DY_EXT="dylib"
-else
-    DY_EXT="so"
-fi
 
 LIBPROTOBUF="$DEPS_PATH/lib/libprotobuf.$DY_EXT"
 LIBPROTOC="$DEPS_PATH/lib/libprotoc.$DY_EXT"
diff --git a/tools/dependencies/zmq.sh b/tools/dependencies/zmq.sh
index 33ea628d53bb..0ab5335e9045 100755
--- a/tools/dependencies/zmq.sh
+++ b/tools/dependencies/zmq.sh
@@ -20,6 +20,12 @@
 # This script builds the static library of zeroMQ that can be used as dependency of mxnet.
 set -ex
 ZEROMQ_VERSION=4.2.2
+if [[ $PLATFORM == 'darwin' ]]; then
+    DY_EXT="dylib"
+else
+    DY_EXT="so"
+fi
+
 if [[ ! -f $DEPS_PATH/lib/libzmq.a ]]; then
     # Download and build zmq
     >&2 echo "Building zmq..."
@@ -39,8 +45,11 @@ if [[ ! -f $DEPS_PATH/lib/libzmq.a ]]; then
     $MAKE install
 
     if [[ ! -f $DEPS_PATH/lib/libzmq.a ]]; then
+        rm $DEPS_PATH/lib64/*zmq*$DY_EXT*
         mkdir -p $DEPS_PATH/lib
         cp $DEPS_PATH/lib64/*zmq* $DEPS_PATH/lib
+    else
+        rm $DEPS_PATH/lib/*zmq*$DY_EXT*
     fi
 
     popd
diff --git a/tools/im2rec.cc b/tools/im2rec.cc
index 989b3147830d..ddb3f7f11c1e 100644
--- a/tools/im2rec.cc
+++ b/tools/im2rec.cc
@@ -247,7 +247,7 @@ int main(int argc, char *argv[]) {
 
     if (unchanged != 1) {
       cv::Mat img = cv::imdecode(decode_buf, color_mode);
-      CHECK(img.data != NULL) << "OpenCV decode fail:" << path;
+      CHECK(img.data != nullptr) << "OpenCV decode fail:" << path;
       cv::Mat res = img;
       if (new_size > 0) {
         if (center_crop) {
diff --git a/tools/setup_gpu_build_tools.sh b/tools/setup_gpu_build_tools.sh
deleted file mode 100755
index e10d1f1570fb..000000000000
--- a/tools/setup_gpu_build_tools.sh
+++ /dev/null
@@ -1,204 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-# This script installs the tools and libraries for CUDA GPU on Ubuntu.
-# Usage: VARIANT=cu102mkl; DEPS_PATH=$HOME; setup_gpu_build_tools.sh $VARIANT $DEPS_PATH;
-# It installs the tools into DEPS_PATH as specified by the second argument, and will set
-# the following environment variables:
-# PATH, CPLUS_INCLUDE_PATH, C_INCLUDE_PATH, LIBRARY_PATH, LD_LIBRARY_PATH, NVCC
-
-VARIANT=$1
-DEPS_PATH=$2
-
->&2 echo "Setting CUDA versions for $VARIANT"
-if [[ $VARIANT == cu102* ]]; then
-    CUDA_VERSION='10.2.89-1'
-    CUDA_PATCH_VERSION='10.2.2.89-1'
-    LIBCUDA_VERSION='440.33.01-0ubuntu1'
-    LIBCUDNN_VERSION='7.6.5.32-1+cuda10.2'
-    LIBNCCL_VERSION='2.5.6-1+cuda10.2'
-elif [[ $VARIANT == cu101* ]]; then
-    CUDA_VERSION='10.1.105-1'
-    CUDA_PATCH_VERSION='10.1.0.105-1'
-    LIBCUDA_VERSION='418.39-0ubuntu1'
-    LIBCUDNN_VERSION='7.6.5.32-1+cuda10.1'
-    LIBNCCL_VERSION='2.5.6-1+cuda10.1'
-elif [[ $VARIANT == cu100* ]]; then
-    CUDA_VERSION='10.0.130-1'
-    CUDA_PATCH_VERSION='10.0.130-1'
-    LIBCUDA_VERSION='410.48-0ubuntu1'
-    LIBCUDNN_VERSION='7.6.5.32-1+cuda10.0'
-    LIBNCCL_VERSION='2.5.6-1+cuda10.0'
-elif [[ $VARIANT == cu92* ]]; then
-    CUDA_VERSION='9.2.148-1'
-    CUDA_PATCH_VERSION='9.2.148.1-1'
-    LIBCUDA_VERSION='396.44-0ubuntu1'
-    LIBCUDNN_VERSION='7.6.5.32-1+cuda9.2'
-    LIBNCCL_VERSION='2.4.8-1+cuda9.2'
-if [[ $VARIANT == cu* ]]; then
-    CUDA_MAJOR_VERSION=$(echo $CUDA_VERSION | tr '-' '.' | cut -d. -f1,2)
-    CUDA_MAJOR_DASH=$(echo $CUDA_VERSION | tr '-' '.' | cut -d. -f1,2 | tr '.' '-')
-    CUDA_PATCH_MAJOR_DASH=$(echo $CUDA_PATCH_VERSION | tr '-' '.' | cut -d. -f1,2 | tr '.' '-')
-    NVIDIA_MAJOR_VERSION=$(echo $LIBCUDA_VERSION | cut -d. -f1)
-    LIBCUDA_MAJOR=$(echo $LIBCUDA_VERSION | cut -d. -f1)
-    LIBCUDNN_MAJOR=$(echo $LIBCUDNN_VERSION | cut -d. -f1)
-    os_name=$(cat /etc/*release | grep '^ID=' | sed 's/^.*=//g')
-    os_version=$(cat /etc/*release | grep VERSION_ID | sed 's/^.*"\([0-9]*\)\.\([0-9]*\)"/\1\2/g')
-    os_id="${os_name}${os_version}"
-    if [[ $CUDA_MAJOR_DASH == 9-* ]] || [[ $CUDA_MAJOR_DASH == 10-* ]]; then
-        os_id="ubuntu1604"
-    fi
-    export PATH=/usr/lib/binutils-2.26/bin/:${PATH}:$DEPS_PATH/usr/local/cuda-$CUDA_MAJOR_VERSION/bin
-    export CPLUS_INCLUDE_PATH=${CPLUS_INCLUDE_PATH}:$DEPS_PATH/usr/local/cuda-$CUDA_MAJOR_VERSION/include:$DEPS_PATH/usr/include
-    export C_INCLUDE_PATH=${C_INCLUDE_PATH}:$DEPS_PATH/usr/local/cuda-$CUDA_MAJOR_VERSION/include:$DEPS_PATH/usr/include
-    export LIBRARY_PATH=${LIBRARY_PATH}:$DEPS_PATH/usr/local/cuda-$CUDA_MAJOR_VERSION/lib64:$DEPS_PATH/usr/lib/x86_64-linux-gnu:$DEPS_PATH/usr/lib/nvidia-$NVIDIA_MAJOR_VERSION
-    export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:$DEPS_PATH/usr/local/cuda-$CUDA_MAJOR_VERSION/lib64:$DEPS_PATH/usr/lib/x86_64-linux-gnu:$DEPS_PATH/usr/lib/nvidia-$NVIDIA_MAJOR_VERSION
-    export NVCC=$DEPS_PATH/usr/local/cuda-$CUDA_MAJOR_VERSION/bin/nvcc
-fi
-
-# list of debs to download from nvidia
-if [[ $VARIANT == cu102* ]]; then
-    cuda_files=( \
-      "cuda-core-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "libcublas10_${CUDA_PATCH_VERSION}_amd64.deb" \
-      "libcublas-dev_${CUDA_PATCH_VERSION}_amd64.deb" \
-      "cuda-cudart-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cudart-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-curand-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-curand-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cufft-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cufft-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-nvrtc-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-nvrtc-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cusolver-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cusolver-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-misc-headers-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-nvcc-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-nvtx-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "libcuda1-${LIBCUDA_MAJOR}_${LIBCUDA_VERSION}_amd64.deb" \
-      "nvidia-${LIBCUDA_MAJOR}_${LIBCUDA_VERSION}_amd64.deb" \
-    )
-    ml_files=( \
-      "libcudnn${LIBCUDNN_MAJOR}-dev_${LIBCUDNN_VERSION}_amd64.deb" \
-      "libnccl-dev_${LIBNCCL_VERSION}_amd64.deb" \
-    )
-elif [[ $VARIANT == cu101* ]]; then
-    cuda_files=( \
-      "cuda-core-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "libcublas10_${CUDA_PATCH_VERSION}_amd64.deb" \
-      "libcublas-dev_${CUDA_PATCH_VERSION}_amd64.deb" \
-      "cuda-cudart-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cudart-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-curand-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-curand-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cufft-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cufft-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-nvrtc-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-nvrtc-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cusolver-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cusolver-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-misc-headers-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-nvcc-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-nvtx-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "libcuda1-${LIBCUDA_MAJOR}_${LIBCUDA_VERSION}_amd64.deb" \
-      "nvidia-${LIBCUDA_MAJOR}_${LIBCUDA_VERSION}_amd64.deb" \
-    )
-    ml_files=( \
-      "libcudnn${LIBCUDNN_MAJOR}-dev_${LIBCUDNN_VERSION}_amd64.deb" \
-      "libnccl-dev_${LIBNCCL_VERSION}_amd64.deb" \
-    )
-elif [[ $VARIANT == cu100* ]]; then
-    cuda_files=( \
-      "cuda-core-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cublas-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \
-      "cuda-cublas-dev-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \
-      "cuda-cudart-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \
-      "cuda-cudart-dev-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \
-      "cuda-curand-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-curand-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cufft-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cufft-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-nvrtc-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-nvrtc-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cusolver-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cusolver-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-misc-headers-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-nvcc-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \
-      "cuda-nvtx-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "libcuda1-${LIBCUDA_MAJOR}_${LIBCUDA_VERSION}_amd64.deb" \
-      "nvidia-${LIBCUDA_MAJOR}_${LIBCUDA_VERSION}_amd64.deb" \
-    )
-    ml_files=( \
-      "libcudnn${LIBCUDNN_MAJOR}-dev_${LIBCUDNN_VERSION}_amd64.deb" \
-      "libnccl-dev_${LIBNCCL_VERSION}_amd64.deb" \
-    )
-elif [[ $VARIANT == cu92* ]]; then
-    cuda_files=( \
-      "cuda-core-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cublas-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \
-      "cuda-cublas-dev-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \
-      "cuda-cudart-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \
-      "cuda-cudart-dev-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \
-      "cuda-curand-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-curand-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cufft-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cufft-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-nvrtc-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-nvrtc-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cusolver-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-cusolver-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-misc-headers-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "cuda-nvcc-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \
-      "cuda-nvtx-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
-      "libcuda1-${LIBCUDA_MAJOR}_${LIBCUDA_VERSION}_amd64.deb" \
-      "nvidia-${LIBCUDA_MAJOR}_${LIBCUDA_VERSION}_amd64.deb" \
-    )
-    ml_files=( \
-      "libcudnn${LIBCUDNN_MAJOR}-dev_${LIBCUDNN_VERSION}_amd64.deb" \
-      "libnccl-dev_${LIBNCCL_VERSION}_amd64.deb" \
-    )
-fi
-
-
-if [[ ! -d $DEPS_PATH/usr/local/cuda-${CUDA_MAJOR_VERSION} ]]; then
-    prefix=$DEPS_PATH
-
-    for item in ${cuda_files[*]}
-    do
-        echo "Installing $item"
-        curl -sL "http://developer.download.nvidia.com/compute/cuda/repos/${os_id}/x86_64/${item}" -o package.deb
-        dpkg -X package.deb ${prefix}
-        rm package.deb
-    done
-    for item in ${ml_files[*]}
-    do
-        echo "Installing $item"
-        curl -sL "http://developer.download.nvidia.com/compute/machine-learning/repos/${os_id}/x86_64/${item}" -o package.deb
-        dpkg -X package.deb ${prefix}
-        rm package.deb
-    done
-
-    mkdir -p ${prefix}/include
-    mkdir -p ${prefix}/lib
-    cp ${prefix}/usr/include/x86_64-linux-gnu/cudnn_v${LIBCUDNN_MAJOR}.h ${prefix}/include/cudnn.h
-    ln -s libcudnn_static_v${LIBCUDNN_MAJOR}.a ${prefix}/usr/lib/x86_64-linux-gnu/libcudnn.a
-    cp ${prefix}/usr/local/cuda-${CUDA_MAJOR_VERSION}/lib64/*.a ${prefix}/lib/
-    cp ${prefix}/usr/include/nccl.h ${prefix}/include/nccl.h
-    ln -s libnccl_static.a ${prefix}/usr/lib/x86_64-linux-gnu/libnccl.a
-fi
diff --git a/tools/staticbuild/README.md b/tools/staticbuild/README.md
index 077150e11762..780cb6d39776 100644
--- a/tools/staticbuild/README.md
+++ b/tools/staticbuild/README.md
@@ -24,6 +24,9 @@ This script is a wrapper around `build_lib.sh. It simplifies the build by
 automatically identifing the system version, number of cores, and all
 environment variable settings. Here are examples you can run with this script:
 
+You need to install `patchelf` first, for example via `apt install patchelf` on
+Ubuntu systems.
+
 ```
 tools/staticbuild/build.sh cu102
 ```
@@ -35,16 +38,6 @@ tools/staticbuild/build.sh cpu
 
 This would build the mxnet package based on MKL-DNN.
 
-To use CMake to build the `libmxnet.so` instead of the deprecated Makefile based
-build logic, set the `CMAKE_STATICBUILD` environment variable. For example
-
-```
-CMAKE_STATICBUILD=1 tools/staticbuild/build.sh cpu
-```
-
-For the CMake build, you need to install `patchelf` first, for example via `apt
-install patchelf` on Ubuntu systems.
-
 As the result, users would have a complete static dependencies in `/staticdeps` in the root folder as well as a static-linked `libmxnet.so` file lives in `lib`. You can build your language binding by using the `libmxnet.so`.
 
 ## `build_lib.sh`
diff --git a/tools/staticbuild/build.sh b/tools/staticbuild/build.sh
index e5fd24368ed3..c0621fd90e9f 100755
--- a/tools/staticbuild/build.sh
+++ b/tools/staticbuild/build.sh
@@ -48,16 +48,14 @@ else
 fi
 export MAKE="make $ADD_MAKE_FLAG"
 
-export CC="gcc -fPIC -mno-avx"
-export CXX="g++ -fPIC -mno-avx"
+export CC="gcc"
+export CXX="g++"
+export CFLAGS="-fPIC -mno-avx"
+export CXXFLAGS="-fPIC -mno-avx"
 export FC="gfortran"
 export PKG_CONFIG_PATH=$DEPS_PATH/lib/pkgconfig:$DEPS_PATH/lib64/pkgconfig:$DEPS_PATH/lib/x86_64-linux-gnu/pkgconfig:$PKG_CONFIG_PATH
 export CPATH=$DEPS_PATH/include:$CPATH
 
-if [[ -z "$USE_SYSTEM_CUDA" && $PLATFORM == 'linux' && $VARIANT == cu* ]]; then
-    source tools/setup_gpu_build_tools.sh $VARIANT $DEPS_PATH
-fi
-
 mkdir -p $DEPS_PATH
 
 # Build Dependencies
@@ -70,10 +68,5 @@ cp NOTICE licenses/
 cp LICENSE licenses/
 cp DISCLAIMER-WIP licenses/
 
-
 # Build mxnet
-if [[ -z "$CMAKE_STATICBUILD" ]]; then
-    source tools/staticbuild/build_lib.sh
-else
-    source tools/staticbuild/build_lib_cmake.sh
-fi
+source tools/staticbuild/build_lib.sh
diff --git a/tools/staticbuild/build_lib.sh b/tools/staticbuild/build_lib.sh
index 989070ac7078..5261b2a6942a 100755
--- a/tools/staticbuild/build_lib.sh
+++ b/tools/staticbuild/build_lib.sh
@@ -20,28 +20,29 @@
 set -eo pipefail
 
 # This script builds the libraries of mxnet.
-make_config=make/staticbuild/${PLATFORM}_${VARIANT}.mk
-if [[ ! -f $make_config ]]; then
-    >&2 echo "Couldn't find make config $make_config for the current settings."
+cmake_config=${CURDIR}/config/distribution/${PLATFORM}_${VARIANT}.cmake
+if [[ ! -f $cmake_config ]]; then
+    >&2 echo "Couldn't find cmake config $make_config for the current settings."
     exit 1
 fi
 
->&2 echo "Now building mxnet modules..."
-cp $make_config config.mk
-
 git submodule update --init --recursive || true
 
-$MAKE DEPS_PATH=$DEPS_PATH DMLCCORE
-$MAKE DEPS_PATH=$DEPS_PATH $PWD/3rdparty/tvm/nnvm/lib/libnnvm.a
-$MAKE DEPS_PATH=$DEPS_PATH PSLITE
-$MAKE DEPS_PATH=$DEPS_PATH mkldnn
-
->&2 echo "Now building mxnet..."
-$MAKE DEPS_PATH=$DEPS_PATH
+# Build libmxnet.so
+rm -rf build; mkdir build; cd build
+cmake -GNinja -C $cmake_config -DCMAKE_PREFIX_PATH=${DEPS_PATH} -DCMAKE_FIND_ROOT_PATH=${DEPS_PATH} ..
+ninja
+cd -
 
+# Move to lib
+rm -rf lib; mkdir lib;
 if [[ $PLATFORM == 'linux' ]]; then
+    cp -L build/libmxnet.so lib/libmxnet.so
+    cp -L staticdeps/lib/libopenblas.so lib/libopenblas.so.0
     cp -L $(ldd lib/libmxnet.so | grep libgfortran |  awk '{print $3}') lib/
     cp -L $(ldd lib/libmxnet.so | grep libquadmath |  awk '{print $3}') lib/
+elif [[ $PLATFORM == 'darwin' ]]; then
+    cp -L build/libmxnet.dylib lib/libmxnet.dylib
 fi
 
 # Print the linked objects on libmxnet.so
@@ -50,8 +51,8 @@ if [[ ! -z $(command -v readelf) ]]; then
     readelf -d lib/libmxnet.so
     strip --strip-unneeded lib/libmxnet.so
 elif [[ ! -z $(command -v otool) ]]; then
-    otool -L lib/libmxnet.so
-    strip -u -r -x lib/libmxnet.so
+    otool -L lib/libmxnet.dylib
+    strip -u -r -x lib/libmxnet.dylib
 else
     >&2 echo "Not available"
 fi
diff --git a/tools/staticbuild/build_lib_cmake.sh b/tools/staticbuild/build_lib_cmake.sh
deleted file mode 100755
index 5261b2a6942a..000000000000
--- a/tools/staticbuild/build_lib_cmake.sh
+++ /dev/null
@@ -1,62 +0,0 @@
-#!/usr/bin/env bash
-
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-set -eo pipefail
-
-# This script builds the libraries of mxnet.
-cmake_config=${CURDIR}/config/distribution/${PLATFORM}_${VARIANT}.cmake
-if [[ ! -f $cmake_config ]]; then
-    >&2 echo "Couldn't find cmake config $make_config for the current settings."
-    exit 1
-fi
-
-git submodule update --init --recursive || true
-
-# Build libmxnet.so
-rm -rf build; mkdir build; cd build
-cmake -GNinja -C $cmake_config -DCMAKE_PREFIX_PATH=${DEPS_PATH} -DCMAKE_FIND_ROOT_PATH=${DEPS_PATH} ..
-ninja
-cd -
-
-# Move to lib
-rm -rf lib; mkdir lib;
-if [[ $PLATFORM == 'linux' ]]; then
-    cp -L build/libmxnet.so lib/libmxnet.so
-    cp -L staticdeps/lib/libopenblas.so lib/libopenblas.so.0
-    cp -L $(ldd lib/libmxnet.so | grep libgfortran |  awk '{print $3}') lib/
-    cp -L $(ldd lib/libmxnet.so | grep libquadmath |  awk '{print $3}') lib/
-elif [[ $PLATFORM == 'darwin' ]]; then
-    cp -L build/libmxnet.dylib lib/libmxnet.dylib
-fi
-
-# Print the linked objects on libmxnet.so
->&2 echo "Checking linked objects on libmxnet.so..."
-if [[ ! -z $(command -v readelf) ]]; then
-    readelf -d lib/libmxnet.so
-    strip --strip-unneeded lib/libmxnet.so
-elif [[ ! -z $(command -v otool) ]]; then
-    otool -L lib/libmxnet.dylib
-    strip -u -r -x lib/libmxnet.dylib
-else
-    >&2 echo "Not available"
-fi
-
-if [[ ! -L deps ]]; then
-    ln -s staticdeps deps
-fi