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.github/workflows/arm-ci.yml
fi docker container prune -f - name: Clean repository shell: bash run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true - name: Checkout repository uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 - name: Build binary and run python tests shell: bash run: |
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.github/workflows/arm-cd.yml
- name: Clean repository shell: bash run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true - name: Checkout repository for nightly (skipped for releases) if: ${{ github.event_name == 'schedule' }} uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 with: ref: 'nightly'
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.github/workflows/arm-ci-extended-cpp.yml
- name: Clean repository shell: bash run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true - name: Checkout repository for nightly (skipped for releases) if: ${{ github.event_name == 'schedule' }} uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 with: ref: 'nightly'
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ci/official/README.md
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) - Uses `wheel.sh`, `libtensorflow.sh`, `code_check_full.sh` - Continuous jobs (Run on every GitHub commit) - Uses `pycpp.sh`
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.github/workflows/arm-ci-extended.yml
- name: Clean repository shell: bash run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true - name: Checkout repository for nightly (skipped for releases) if: ${{ github.event_name == 'schedule' }} uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 with: ref: 'nightly'
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ci/official/utilities/setup_macos.sh
# inside the TensorFlow root directory. We then define them as a filegroup # target inside "tensorflow/tools/toolchains/cross_compile/cc" so that Bazel # can register it as an input to compile/link actions and send it to the remote # VMs when needed. # TODO(b/316932689): Avoid copying and replace with a local repository rule. if [[ "$TFCI_MACOS_CROSS_COMPILE_ENABLE" == 1 ]]; then
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.github/workflows/update-rbe.yml
jobs: rbe: name: Update RBE Configs runs-on: ubuntu-latest if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks steps: - name: Checkout code uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 - name: Update the RBE Configs run: | function map() { # The "digest" that allows us to pull an image is not the digest as
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tensorflow/build_cleaner_spec.textproto
# proto-file: devtools/build_cleaner/proto/actions.proto # proto-message: ActionSpecs # Python rules should not have more than one source file. action_spec { action: CHECK_FILE_COUNT file_count_params { rule_selector { rule_kind_regex: "^.*py(type)?(_strict)?_(binary|library|test).*$" generator_function_regex: "^(?!boq_header)$" } max_source_count: 1 }
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ci/official/utilities/setup.sh
# Generate an overview page describing the build if [[ "$TFCI_INDEX_HTML_ENABLE" == 1 ]]; then ./ci/official/utilities/generate_index_html.sh "$TFCI_OUTPUT_DIR/index.html" fi # Single handler for all cleanup actions, triggered on an EXIT trap. # TODO(angerson) Making this use different scripts may be overkill. cleanup() { if [[ "$TFCI_DOCKER_ENABLE" == 1 ]]; then ./ci/official/utilities/cleanup_docker.sh fi
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