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CONTRIBUTING.md
- Ensure you have signed the [Contributor License Agreement (CLA)](https://cla.developers.google.com/). - Check if your changes are consistent with the [guidelines](#general-guidelines-and-philosophy-for-contribution). - Changes are consistent with the [Coding Style](#c-coding-style). - Run the [unit tests](#running-unit-tests). ## How to become a contributor and submit your own code
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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
fi } teardown_file() { rm -rf /tf/venv } @test "Wheel is manylinux2014 (manylinux_2_17) compliant" { python3 -m auditwheel show "$TF_WHEEL" > audit.txt grep --quiet -zoP 'is consistent with the following platform tag:\n"manylinux_2_17_(aarch|x86_)64"\.' audit.txt } @test "Wheel conforms to upstream size limitations" { WHEEL_MEGABYTES=$(stat --format %s "$TF_WHEEL" | awk '{print int($1/(1024*1024))}')
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RELEASE.md
[`tf.distribute.experimental.PreemptionCheckpointHandler`](https://www.tensorflow.org/api_docs/python/tf/distribute/experimental/PreemptionCheckpointHandler) to handle worker preemption/maintenance and cluster-wise consistent error reporting for `tf.distribute.MultiWorkerMirroredStrategy`. Specifically, for the type of interruption with advance notice, it
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