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ci/official/wheel_test/README.md
## Wheel Test This directory is dedicated to tests that require a built TensorFlow wheel file for testing, such as: * Ensuring the entire API is importable * Testing downstream projects against the wheel Ensure you have Bazel installed and accessible from your command line. These tests use hermetic Python. They also require a built TensorFlow wheel file and a requirements_lock file. The requirements_lock file is generated by the
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ci/official/envs/linux_x86_cuda
source ci/official/envs/linux_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
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ci/official/bisect.sh
# TF_BISECT_BAD: First bad commit (e.g. commit from the first failing job) # TF_BISECT_SCRIPT: The build script path relative to the TF root dir, e.g. # ci/official/wheel.sh # TFCI: The env config path, relative to the TF root dir, e.g. # ci/official/envs/an_env_config # # Note that you can combine bisect.sh with any.sh to bisect a single test: # # export TFCI=...
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# odd to attempt to validate the quality of the pip package. The wheel is # installed into a virtual environment, and then that venv is used to run all # bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which # drops all the bazel dependencies for each py_test; this makes all the tests # use the wheel's TensorFlow installation instead of the one made available
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ci/official/wheel.sh
tfrun python3 tensorflow/tools/ci_build/update_version.py --nightly # replace tensorflow to tf_nightly in the wheel name export TFCI_BUILD_PIP_PACKAGE_ARGS="$(echo $TFCI_BUILD_PIP_PACKAGE_ARGS | sed 's/tensorflow/tf_nightly/')" fi tfrun bazel build $TFCI_BAZEL_COMMON_ARGS //tensorflow/tools/pip_package:wheel $TFCI_BUILD_PIP_PACKAGE_ARGS tfrun find ./bazel-bin/tensorflow/tools/pip_package -iname "*.whl" -exec cp {} $TFCI_OUTPUT_DIR \;
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ci/official/containers/linux_arm64/devel.usertools/rename_and_verify_wheels.sh
rm "$wheel" wheel="$new_wheel" fi TF_WHEEL="$wheel" bats /usertools/wheel_verification.bats --timing
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ci/official/wheel_test/update_requirements.sh
echo "Usage: $0 <path_to_tensorflow_wheel> <python_version>" exit 1 fi TENSORFLOW_WHEEL_PATH="$1" PYTHON_VERSION="$2" # All commands run relative to this directory cd "$(dirname "${BASH_SOURCE[0]}")" cd ../requirements_updater || exit 1 # Create the requirements_wheel_test.in file echo "tensorflow @ file://localhost/$TENSORFLOW_WHEEL_PATH" > requirements_wheel_test.in # Create the requirements_lock file
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ci/official/containers/linux_arm64/devel.usertools/setup_venv_test.sh
set -euxo pipefail # Run this from inside the tensorflow github directory. # Usage: setup_venv_test.sh venv_and_symlink_name "glob pattern for one wheel file" # Example: setup_venv_test.sh bazel_pip "/tf/pkg/*.whl" # # This will create a venv with that wheel file installed in it, and a symlink # in ./venv_and_symlink_name/tensorflow to ./tensorflow. We use this for the # "pip" tests. python -m venv /$1 mkdir -p $1
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.github/workflows/arm-cd.yml
- name: Checkout repository for releases (skipped for nightly) if: ${{ github.event_name == 'push' }} uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 - name: Build and test pip wheel shell: bash run: | is_nightly=0 && tf_project_name='tensorflow_cpu_aws' && ${{ github.event_name == 'schedule' }} && is_nightly=1 && tf_project_name='tf_nightly_cpu_aws'
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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
# Suite of verification tests for the SINGLE TensorFlow wheel in /tf/pkg # or whatever path is set as $TF_WHEEL. setup_file() { cd /tf/pkg if [[ -z "$TF_WHEEL" ]]; then export TF_WHEEL=$(find /tf/pkg -iname "*.whl") fi } teardown_file() { rm -rf /tf/venv } @test "Wheel is manylinux2014 (manylinux_2_17) compliant" { python3 -m auditwheel show "$TF_WHEEL" > audit.txt
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