package tensorflow_addons

recipes/tensorflow-addons/LICENSE

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recipes/tensorflow-addons/build.sh

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+#!/bin/bash
+
+set -ex
+
+export PATH="$PWD:$PATH"
+export CC=$(basename $CC)
+export CXX=$(basename $CXX)
+export LIBDIR=$PREFIX/lib
+export INCLUDEDIR=$PREFIX/include
+
+export TF_NEED_CUDA=0
+
+if [[ ${cuda_compiler_version} != "None" ]]; then
+    export TF_NEED_CUDA=1
+    export TF_CUDA_PATHS="${PREFIX},${CUDA_HOME}"
+    export TF_CUDA_VERSION="${cuda_compiler_version}"
+    export TF_CUDNN_VERSION="${cudnn}"
+    export GCC_HOST_COMPILER_PATH="${GCC}"
+    export CUDA_TOOLKIT_PATH="${CUDA_HOME}"
+    export CUDNN_INSTALL_PATH="${PREFIX}"
+
+    # addons uses a different nomenclature for compute capabilities than tf proper, see
+    # https://github.com/tensorflow/addons/blob/v0.14.0/build_deps/toolchains/gpu/cuda_configure.bzl#L18-L19
+    if [[ ${cuda_compiler_version} == 10.* ]]; then
+        export TF_CUDA_COMPUTE_CAPABILITIES=3.5,5.0,6.0,6.2,7.0,7.2,7.5
+    elif [[ ${cuda_compiler_version} == 11.0* ]]; then
+        export TF_CUDA_COMPUTE_CAPABILITIES=3.5,5.0,6.0,6.2,7.0,7.2,7.5,8.0
+    elif [[ ${cuda_compiler_version} == 11.1 ]]; then
+        export TF_CUDA_COMPUTE_CAPABILITIES=3.5,5.0,6.0,6.2,7.0,7.2,7.5,8.0,8.6
+    elif [[ ${cuda_compiler_version} == 11.2 ]]; then
+        export TF_CUDA_COMPUTE_CAPABILITIES=3.5,5.0,6.0,6.2,7.0,7.2,7.5,8.0,8.6
+    else
+        echo "unsupported cuda version."
+        exit 1
+    fi
+fi
+
+# This script links project with TensorFlow dependency; creates .bazelrc
+python ./configure.py
+# ironically, configure.py cannot be configured, so sed it is...
+sed -i'' -e "s:TF_HEADER_DIR=.*:TF_HEADER_DIR=\"$PREFIX/include\":" \
+    -e "s:TF_SHARED_LIBRARY_DIR=.*:TF_SHARED_LIBRARY_DIR=\"$PREFIX/lib\":" \
+    .bazelrc
+# show result (& sleep to allow log to catch up)
+cat .bazelrc
+sleep 2
+
+bazel build build_pip_pkg
+
+# build a whl file
+mkdir -p $SRC_DIR/tf_addons_pkg
+bash -x bazel-bin/build_pip_pkg $SRC_DIR/tf_addons_pkg
+
+pip install tf_addons_pkg/tensorflow_addons-*.whl

recipes/tensorflow-addons/meta.yaml

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+{% set version = "0.14.0" %}
+{% set tf_version_maj_min = "2.6" %}
+
+package:
+  name: tensorflow-addons
+  version: {{ version }}
+
+source:
+  url: https://github.com/tensorflow/addons/archive/refs/tags/v{{ version }}.tar.gz
+  sha256: da9eaf683192054db73941e0de34d83754be4054dc92c409bc4693c3f3091586
+
+build:
+  number: 0
+  # missing dependency: https://github.com/conda-forge/tensorflow-feedstock/issues/124
+  skip: true  # [win]
+
+requirements:
+  build:
+    - {{ compiler('cxx') }}
+    - {{ compiler('cuda') }}  # [cuda_compiler_version != "None"]
+    - bazel
+    - bazel-toolchain
+    - rsync
+    - sed
+  host:
+    # GPU requirements for CUDA
+    - cudnn           # [cuda_compiler_version != "None"]
+    - python
+    - pip
+    - libprotobuf
+    # check tensorflow-range per addons-version, see
+    # https://github.com/tensorflow/addons#python-op-compatibility-matrix
+    - tensorflow {{ tf_version_maj_min }}.*
+    # needed for headers in tensorflow/core/framework
+    - libtensorflow_cc {{ tf_version_maj_min }}.*
+    - tensorflow =*=cpu*   # [cuda_compiler_version == "None"]
+    - tensorflow =*=cuda*  # [cuda_compiler_version != "None"]
+    - typeguard >=2.7
+  run:
+    - python
+    # due to lack of ABI, we need the same version at runtime, see
+    # https://github.com/tensorflow/addons#c-custom-op-compatibility-matrix
+    - tensorflow {{ tf_version_maj_min }}.*
+    - libtensorflow_cc {{ tf_version_maj_min }}.*
+    - tensorflow =*=cpu*   # [cuda_compiler_version == "None"]
+    - tensorflow =*=cuda*  # [cuda_compiler_version != "None"]
+
+test:
+  requires:
+    - pytest
+  imports:
+    - tensorflow_addons
+  commands:
+    - pytest -v
+
+about:
+  home: https://github.com/tensorflow/addons
+  license: Apache-2.0
+  license_file: LICENSE
+  summary: Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
+  dev_url: https://github.com/tensorflow/addons
+
+extra:
+  recipe-maintainers:
+    - conda-forge/tensorflow