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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. # # Pass --config=pip to run the same suite of tests. If you want to run just one # test for investigation, you'll need --config=pip_venv instead, and then you
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.github/bot_config.yml
# A list of assignees assignees: - sushreebarsa - SuryanarayanaY - tilakrayal - Venkat6871 # A list of assignees for compiler folder compiler_assignees: - joker-eph - sanjoy # filesystem path filesystem_path: - tensorflow/c/experimental/filesystem # security path security_path: - tensorflow/security # words checklist
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ci/official/README.md
******************************************************************************** ## TensorFlow's Official CI and Build/Test Scripts TensorFlow's official CI jobs run the scripts in this folder. Our internal CI system, Kokoro, schedules our CI jobs by combining a build script with a file from the `envs` directory that is filled with configuration options: - Nightly jobs (Run nightly on the `nightly` branch)
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ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
"${TARGET}/usr/lib64" # Link in architecture specific includes from the system; note that we cannot # link in the whole aarch64-linux-gnu folder, as otherwise we're overlaying # system gcc paths that we do not want to find. # TODO(klimek): Automate linking in all non-gcc / non-kernel include # directories. mkdir -p "${TARGET}/usr/include/aarch64-linux-gnu"
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. # # Pass --config=pip to run the same suite of tests. If you want to run just one # test for investigation, you'll need --config=pip_venv instead, and then you
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.github/workflows/sigbuild-docker-presubmit.yml
strategy: matrix: python-version: [python3.9, python3.10, python3.11, python3.12] permissions: contents: read pull-requests: write steps: - name: Delete unnecessary tools folder run: | df -h rm -rf /opt/hostedtoolcache df -h - name: Checkout uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 -
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ci/devinfra/README.md
# DevInfra CI Directory > **Warning** This folder is still under construction. It is part of an ongoing > effort to improve the structure of CI and build related files within the > TensorFlow repo. This warning will be removed when the contents of this > directory are stable and appropriate documentation around its usage is in > place. Maintainer: TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag
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.github/workflows/sigbuild-docker.yml
runs-on: ubuntu-latest strategy: matrix: python-version: [python3.9, python3.10, python3.11, python3.12] steps: - name: Delete unnecessary tools folder run: rm -rf /opt/hostedtoolcache - name: Checkout uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 - name: Set up Docker Buildx
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ci/README.md
The CI folder contains the configuration files and scripts used to build, test, and deploy TensorFlow. This folder is typically used by continuous integration (CI) tools to build and test TensorFlow whenever there is a change to the code. This folder is broken into subfolders that represent the level of support
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.github/workflows/sigbuild-docker-branch.yml
runs-on: ubuntu-latest strategy: matrix: python-version: [python3.9, python3.10, python3.11, python3.12] steps: - name: Delete unnecessary tools folder run: rm -rf /opt/hostedtoolcache - name: Checkout uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 - name: Set up Docker Buildx
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