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ci/official/envs/rbe
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.github/workflows/arm-ci.yml
echo "Running container(s) found" && \ docker stop $running_containers; 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
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.github/workflows/arm-cd.yml
echo "Running container(s) found" && \ docker stop $running_containers; 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' }}
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Mar 05 10:24:16 GMT 2024 - 3K bytes - Viewed (1) -
.github/workflows/arm-ci-extended-cpp.yml
docker stop $running_containers; 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' }}
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.github/workflows/arm-ci-extended.yml
docker stop $running_containers; 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' }}
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tensorflow/c/eager/c_api_remote_test_util.h
#ifndef TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ #define TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ // Run a function containing a MatMul op and check its output. // If heavy_load_on_streaming_rpc is true, send some rpc requests before the one // which creates a remote input, to simulate a scenario that the remote input // is not ready when we start running an op or a function.
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ci/official/bisect.sh
# limitations under the License. # ============================================================================== # Run any CI script and env configuration to bisect a failing target in some # build configuration. You must set the following variables to control this # script: # # TF_BISECT_GOOD: Last known good commit (e.g. commit from the last passing job)
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false,
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.github/ISSUE_TEMPLATE/tflite-other.md
only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. - type: markdown attributes: value: |
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tensorflow/c/eager/immediate_execution_tensor_handle.h
std::string DebugString() const override; // Returns a Boolean hint indicating whether callers should prefer // `SummarizeValue` to resolving this handle and formatting the tensor. // // For example some tensor handles may represent distributed values, in which // case placement information is lost when resolving the handle. // // If false, a caller might implement pretty-printing by resolving and
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