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.github/workflows/arm-ci.yml
- name: Build binary and run python tests shell: bash run: | CI_DOCKER_BUILD_EXTRA_PARAMS="--pull --build-arg py_major_minor_version=${{ matrix.pyver }} --build-arg is_nightly=1 --build-arg tf_project_name=tf_nightly_ci" \
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.github/workflows/arm-cd.yml
run: | is_nightly=0 && tf_project_name='tensorflow_cpu_aws' && ${{ github.event_name == 'schedule' }} && is_nightly=1 && tf_project_name='tf_nightly_cpu_aws' echo "PyPI project name:" $tf_project_name CI_DOCKER_BUILD_EXTRA_PARAMS="--build-arg py_major_minor_version=${{ matrix.pyver }} --build-arg is_nightly=${is_nightly} --build-arg tf_project_name=${tf_project_name}" \
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.github/workflows/arm-ci-extended-cpp.yml
shell: bash run: | is_nightly=0 && tf_project_name='tf_ci_ext_c' && ${{ github.event_name == 'schedule' }} && is_nightly=1 && tf_project_name='tf_nightly_ci_ext_c' CI_DOCKER_BUILD_EXTRA_PARAMS="--build-arg py_major_minor_version=${{ matrix.pyver }} --build-arg is_nightly=${is_nightly} --build-arg tf_project_name=${tf_project_name}" \
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.github/workflows/arm-ci-extended.yml
shell: bash run: | is_nightly=0 && tf_project_name='tf_ci_ext' && ${{ github.event_name == 'schedule' }} && is_nightly=1 && tf_project_name='tf_nightly_ci_ext' CI_DOCKER_BUILD_EXTRA_PARAMS="--build-arg py_major_minor_version=${{ matrix.pyver }} --build-arg is_nightly=${is_nightly} --build-arg tf_project_name=${tf_project_name}" \
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tensorflow/c/experimental/filesystem/modular_filesystem.h
// moved to core/platform, and this class can become a singleton and replace the // need for `Env::Default()`. At that time, we might decide to remove the need // for `Env::Default()` altogether, but that's a different project, not in // scope for now. I'm just mentioning this here as that transition will mean // removal of the registration part from `Env` and adding it here instead: we
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CONTRIBUTING.md
``` This will run it using your installed version of TensorFlow. To be sure you're running the same code that you're testing: * Use an up to date [tf-nightly](https://pypi.org/project/tf-nightly/) `pip install -U tf-nightly` * Rebase your pull request onto a recent pull from [TensorFlow's](https://github.com/tensorflow/tensorflow) master branch.
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CITATION.cff
authors:
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LICENSE
All other contributions: Copyright (c) 2014, the respective contributors All rights reserved. Caffe uses a shared copyright model: each contributor holds copyright over their contributions to Caffe. The project versioning records all such contribution and copyright details. If a contributor wants to further mark their specific copyright on a particular contribution, they should indicate
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README.md
**Linux GPU** | [![Status](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-gpu-py3.svg)](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-gpu-py3.html) | [PyPI](https://pypi.org/project/tf-nightly-gpu/)
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tensorflow/BUILD
"@gif//:__subpackages__", "@highwayhash//:__subpackages__", "@hwloc//:__subpackages__", "@icu//:__subpackages__", "@libjpeg_turbo//:__subpackages__", "@llvm-project//:__subpackages__", "@nsync//:__subpackages__", "@png//:__subpackages__", "@sobol_data//:__subpackages__", "@stablehlo//:__subpackages__", "@tf_runtime//:__subpackages__",
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