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.github/workflows/arm-ci-extended-cpp.yml
fi docker container prune -f docker image prune -af - 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
Others - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 07 17:41:21 GMT 2024 - 2.5K bytes - Viewed (0) -
.github/workflows/arm-cd.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 for nightly (skipped for releases) if: ${{ github.event_name == 'schedule' }} uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1
Others - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 10:24:16 GMT 2024 - 3K bytes - Viewed (1) -
ci/official/utilities/setup.sh
# In addition to dumping all script output to the terminal, place it into # $TFCI_OUTPUT_DIR/script.log exec > >(tee "$TFCI_OUTPUT_DIR/script.log") 2>&1 # Setup tfrun, a helper function for executing steps that can either be run # locally or run under Docker. setup_docker.sh, below, redefines it as "docker # exec". # Important: "tfrun foo | bar" is "( tfrun foo ) | bar", not "tfrun (foo | bar)".
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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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.bazelrc
build:resultstore --bes_results_url="https://source.cloud.google.com/results/invocations" build:resultstore --bes_timeout=600s # Flag to enable remote config common --experimental_repo_remote_exec # Make Bazel not try to probe the host system for a C++ toolchain. build:rbe_base --config=resultstore build:rbe_base --repo_env=BAZEL_DO_NOT_DETECT_CPP_TOOLCHAIN=1 build:rbe_base --define=EXECUTOR=remote
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ci/official/utilities/cleanup_docker.sh
container for you! You can delete the container with: $ docker rm -f tf You can also execute more commands within the container with e.g.: $ docker exec tf bazel clean $ docker exec -it tf bash EOF
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 10 20:26:29 GMT 2023 - 998 bytes - Viewed (0) -
ci/official/README.md
# https://github.com/NVIDIA/nvidia-container-toolkit # # Note: if you interrupt a bazel command on docker (ctrl-c), you # will need to run `docker exec tf pkill bazel` to quit bazel. # # Note: new files created from the container are owned by "root". # You can run e.g. `docker exec tf chown -R $(id -u):$(id -g) build_output` # to transfer ownership to your user. #
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ci/official/wheel.sh
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 {} $TFCI_OUTPUT_DIR \; tfrun ./ci/official/utilities/rename_and_verify_wheels.sh if [[ "$TFCI_ARTIFACT_STAGING_GCS_ENABLE" == 1 ]]; then # Note: -n disables overwriting previously created files.
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ci/official/utilities/setup_docker.sh
docker run $TFCI_DOCKER_ARGS --name tf -w "$TFCI_GIT_DIR" -itd --rm \ -v "$TFCI_GIT_DIR:$TFCI_GIT_DIR" \ --env-file "$env_file" \ "$TFCI_DOCKER_IMAGE" \ bash fi
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.github/workflows/arm-ci-extended.yml
fi docker container prune -f docker image prune -af - 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
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