Merge tools and inference_engine/tools folders (openvinotoolkit#7359)

* Merge tools folders

* Fixed docs

* Moved deployment_manager

* Fixed path to benchmark_tool docs

* python_tools -> python_tools_benchmark

CODEOWNERS

@@ -44,7 +44,6 @@ azure-pipelines.yml  @openvinotoolkit/openvino-admins
 /inference-engine/tests/functional/plugin/myriad/  @openvinotoolkit/openvino-ie-vpu-maintainers @openvinotoolkit/openvino-ie-tests-maintainers
 /inference-engine/tests/unit/vpu/  @openvinotoolkit/openvino-ie-vpu-maintainers @openvinotoolkit/openvino-ie-tests-maintainers
 /inference-engine/tests/unit/engines/vpu/  @openvinotoolkit/openvino-ie-vpu-maintainers @openvinotoolkit/openvino-ie-tests-maintainers
-/inference-engine/tools/vpu/  @openvinotoolkit/openvino-ie-vpu-maintainers
 /inference-engine/scripts/run_tests_myriad_multistick.sh  @openvinotoolkit/openvino-ie-vpu-maintainers
 
 # IE GNA:

docs/IE_DG/Intro_to_Performance.md

@@ -34,7 +34,7 @@ Refer to the [Benchmark App](../../inference-engine/samples/benchmark_app/README
 ## Using Caching API for first inference latency optimization
 Since with the 2021.4 release, Inference Engine provides an ability to enable internal caching of loaded networks.
 This can significantly reduce load network latency for some devices at application startup.
-Internally caching uses plugin's Export/ImportNetwork flow, like it is done for [Compile tool](../../inference-engine/tools/compile_tool/README.md), using the regular ReadNetwork/LoadNetwork API.
+Internally caching uses plugin's Export/ImportNetwork flow, like it is done for [Compile tool](../../tools/compile_tool/README.md), using the regular ReadNetwork/LoadNetwork API.
 Refer to the [Model Caching Overview](Model_caching_overview.md) for more detailed explanation.
 
 ## Using Async API

docs/IE_DG/Model_caching_overview.md

@@ -20,7 +20,7 @@ As described in [Inference Engine Developer Guide](Deep_Learning_Inference_Engin
 
 Step #5 can potentially perform several time-consuming device-specific optimizations and network compilations,
 and such delays can lead to bad user experience on application startup. To avoid this, some devices offer
-Import/Export network capability, and it is possible to either use [Compile tool](../../inference-engine/tools/compile_tool/README.md)
+Import/Export network capability, and it is possible to either use [Compile tool](../../tools/compile_tool/README.md)
 or enable model caching to export compiled network automatically. Reusing cached networks can significantly reduce load network time.
 
 

docs/IE_DG/Tools_Overview.md

@@ -9,8 +9,8 @@ The OpenVINO™ toolkit installation includes the following tools:
 |[Accuracy Checker Tool](@ref omz_tools_accuracy_checker)              | `<INSTALL_DIR>/deployment_tools/tools/open_model_zoo/tools/accuracy_checker`|
 |[Post-Training Optimization Tool](@ref pot_README)                           | `<INSTALL_DIR>/deployment_tools/tools/post_training_optimization_toolkit`|
 |[Model Downloader](@ref omz_tools_downloader)                         | `<INSTALL_DIR>/deployment_tools/tools/model_downloader`| 
-|[Cross Check Tool](../../inference-engine/tools/cross_check_tool/README.md)  | `<INSTALL_DIR>/deployment_tools/tools/cross_check_tool`|
-|[Compile Tool](../../inference-engine/tools/compile_tool/README.md)          | `<INSTALL_DIR>/deployment_tools/inference_engine/lib/intel64/`|
+|[Cross Check Tool](../../tools/cross_check_tool/README.md)  | `<INSTALL_DIR>/deployment_tools/tools/cross_check_tool`|
+|[Compile Tool](../../tools/compile_tool/README.md)          | `<INSTALL_DIR>/deployment_tools/inference_engine/lib/intel64/`|
 
 
 ## See Also

docs/index.md

@@ -45,7 +45,7 @@ Useful documents for model optimization:
 ### Running and Tuning Inference
 The other core component of OpenVINO™ is the [Inference Engine](IE_DG/Deep_Learning_Inference_Engine_DevGuide.md), which manages the loading and compiling of the optimized neural network model, runs inference operations on input data, and outputs the results. Inference Engine can execute synchronously or asynchronously, and its plugin architecture manages the appropriate compilations for execution on multiple Intel® devices, including both workhorse CPUs and specialized graphics and video processing platforms (see below, Packaging and Deployment).
 
-You can use OpenVINO™ Tuning Utilities with the Inference Engine to trial and test inference on your model. The Benchmark utility uses an input model to run iterative tests for throughput or latency measures, and the [Cross Check Utility](../inference-engine/tools/cross_check_tool/README.md) compares performance of differently configured inferences. 
+You can use OpenVINO™ Tuning Utilities with the Inference Engine to trial and test inference on your model. The Benchmark utility uses an input model to run iterative tests for throughput or latency measures, and the [Cross Check Utility](../tools/cross_check_tool/README.md) compares performance of differently configured inferences.
 
 For a full browser-based studio integrating these other key tuning utilities, try the [Deep Learning Workbench](@ref workbench_docs_Workbench_DG_Introduction).
 ![](img/OV-diagram-step3.png)
@@ -81,7 +81,7 @@ The Inference Engine's plug-in architecture can be extended to meet other specia
 * [Deployment Manager Guide](./install_guides/deployment-manager-tool.md)
 
 
-## OpenVINO™ Toolkit Components 
+## OpenVINO™ Toolkit Components
 
 Intel® Distribution of OpenVINO™ toolkit includes the following components:
 
@@ -90,8 +90,8 @@ Intel® Distribution of OpenVINO™ toolkit includes the following components:
 - [Inference Engine Samples](IE_DG/Samples_Overview.md): A set of simple console applications demonstrating how to use the Inference Engine in your applications.
 - [Deep Learning Workbench](@ref workbench_docs_Workbench_DG_Introduction): A web-based graphical environment that allows you to easily use various sophisticated OpenVINO™ toolkit components.
 - [Post-training Optimization Tool](@ref pot_README): A tool to calibrate a model and then execute it in the INT8 precision.
-- Additional Tools: A set of tools to work with your models including [Benchmark App](../inference-engine/tools/benchmark_tool/README.md), [Cross Check Tool](../inference-engine/tools/cross_check_tool/README.md), [Compile tool](../inference-engine/tools/compile_tool/README.md).
-- [Open Model Zoo](@ref omz_models_group_intel)     
+- Additional Tools: A set of tools to work with your models including [Benchmark App](../tools/benchmark_tool/README.md), [Cross Check Tool](../tools/cross_check_tool/README.md), [Compile tool](../tools/compile_tool/README.md).
+- [Open Model Zoo](@ref omz_models_group_intel)
     - [Demos](@ref omz_demos): Console applications that provide robust application templates to help you implement specific deep learning scenarios.
     - Additional Tools: A set of tools to work with your models including [Accuracy Checker Utility](@ref omz_tools_accuracy_checker) and [Model Downloader](@ref omz_tools_downloader).
     - [Documentation for Pretrained Models](@ref omz_models_group_intel): Documentation for pre-trained models that are available in the [Open Model Zoo repository](https://github.com/openvinotoolkit/open_model_zoo).

inference-engine/CMakeLists.txt

@@ -12,7 +12,6 @@ if(ENABLE_PYTHON)
     add_subdirectory(ie_bridges/python)
 endif()
 
-add_subdirectory(tools)
 add_subdirectory(samples)
 
 openvino_developer_export_targets(COMPONENT openvino_common TARGETS format_reader ie_samples_utils)

scripts/CMakeLists.txt

@@ -47,14 +47,6 @@ if(UNIX)
             COMPONENT install_dependencies)
 endif()
 
-# install DeploymentManager
-
-ie_cpack_add_component(deployment_manager REQUIRED)
-install(DIRECTORY deployment_manager/
-        DESTINATION deployment_tools/tools/deployment_manager
-        COMPONENT deployment_manager
-        USE_SOURCE_PERMISSIONS)
-
 # install files for demo
 
 ie_cpack_add_component(demo_scripts DEPENDS core)

tools/CMakeLists.txt

@@ -1,44 +1,64 @@
 # Copyright (C) 2018-2021 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
+
 cmake_minimum_required(VERSION 3.13)
 
-project(python_tools)
+project(OpenVINO_Tools DESCRIPTION "OpenVINO toolkit Development Tools")
 
 if(NOT DEFINED OpenVINO_SOURCE_DIR)
     find_package(InferenceEngineDeveloperPackage QUIET)
+    set(python_tools_only ON)
+endif()
+
+# C++ tools
+
+if(NOT python_tools_only)
+    add_subdirectory(compile_tool)
 endif()
 
+# Python tools
+
+# install deployment_manager
+
+ie_cpack_add_component(deployment_manager REQUIRED)
+install(DIRECTORY deployment_manager/
+        DESTINATION deployment_tools/tools/deployment_manager
+        COMPONENT deployment_manager
+        USE_SOURCE_PERMISSIONS)
+
 if(ENABLE_PYTHON)
     find_package(PythonInterp 3 REQUIRED)
     set(PYTHON_VERSION python${PYTHON_VERSION_MAJOR}.${PYTHON_VERSION_MINOR})
 
-    set(TARGET_NAME "python_tools")
-
     if(WIN32)
         set(PYTHON_BRIDGE_OUTPUT_DIRECTORY ${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/$<CONFIG>/python_api/${PYTHON_VERSION}/openvino)
     else()
         set(PYTHON_BRIDGE_OUTPUT_DIRECTORY ${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/python_api/${PYTHON_VERSION}/openvino)
     endif()
 
     # creates a copy inside bin directory for developers to have ability running python benchmark_app
-    add_custom_target(${TARGET_NAME} ALL
+    add_custom_target(python_tools_benchmark ALL
         COMMAND ${CMAKE_COMMAND} -E make_directory ${PYTHON_BRIDGE_OUTPUT_DIRECTORY}/tools
-        COMMAND ${CMAKE_COMMAND} -E copy_directory ${OpenVINO_SOURCE_DIR}/tools/benchmark_tool/openvino/tools/benchmark ${PYTHON_BRIDGE_OUTPUT_DIRECTORY}/tools/benchmark
+        COMMAND ${CMAKE_COMMAND} -E copy_directory ${CMAKE_CURRENT_SOURCE_DIR}/benchmark_tool/openvino/tools/benchmark
+                                                   ${PYTHON_BRIDGE_OUTPUT_DIRECTORY}/tools/benchmark
     )
 
     ie_cpack_add_component(python_tools_${PYTHON_VERSION})
     ie_cpack_add_component(python_tools)
 
+    # install cross_check_tool tool
+    install(DIRECTORY cross_check_tool
+            DESTINATION deployment_tools/tools
+            COMPONENT python_tools)
+
+    # install benchmark_app tool
     install(FILES benchmark_tool/benchmark_app.py
                   benchmark_tool/README.md
                   benchmark_tool/requirements.txt
             DESTINATION deployment_tools/tools/benchmark_tool
             COMPONENT python_tools)
 
-    install(DIRECTORY ../inference-engine/tools/cross_check_tool
-            DESTINATION deployment_tools/tools
-            COMPONENT python_tools)
-
+    # install openvino/tools/benchmark as a python package
     install(DIRECTORY benchmark_tool/openvino/tools/benchmark
             DESTINATION python/${PYTHON_VERSION}/openvino/tools
             USE_SOURCE_PERMISSIONS