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.github/workflows/arm-ci.yml
name: ARM CI on: push: branches: - master - r2.** permissions: contents: read jobs: build: # Don't do this in forks, and if labeled, only for 'kokoro:force-run' if: github.repository == 'tensorflow/tensorflow' && (github.event.action != 'labeled' || (github.event.action == 'labeled' && github.event.label.name == 'kokoro:force-run'))
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Feb 07 17:41:21 GMT 2024 - 2.2K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
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tensorflow/c/experimental/filesystem/modular_filesystem.cc
TF_FilesystemPluginInfo info; memset(&info, 0, sizeof(info)); auto TF_InitPlugin = reinterpret_cast<int (*)(TF_FilesystemPluginInfo*)>(dso_symbol); TF_InitPlugin(&info); // Step 4: Do the actual registration return filesystem_registration::RegisterFilesystemPluginImpl(&info); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 23.1K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
} @test "Pip package generated license includes all dependencies' licenses" { do_external_licenses_check \ "//tensorflow/tools/pip_package:build_pip_package" \ "//tensorflow/tools/pip_package:licenses" } @test "Libtensorflow generated license includes all dependencies' licenses" { do_external_licenses_check \ "//tensorflow:libtensorflow.so" \
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.github/workflows/update-nightly.yml
schedule: - cron: 0 4 * * * # 4am UTC is 9pm PDT and 8pm PST name: Set nightly branch to master HEAD permissions: {} jobs: master-to-nightly: if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks runs-on: ubuntu-latest permissions: contents: write steps: - uses: zofrex/mirror-branch@a8809f0b42f9dfe9b2c5c2162a46327c23d15266 # v1.0.3 name: Set nightly branch to master HEAD
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ci/official/utilities/setup_macos.sh
# Install the necessary Python, unless it's already present pyenv install -s "$TFCI_PYTHON_VERSION" pyenv local "$TFCI_PYTHON_VERSION" # Do a sanity check to make sure that we using the correct Python version python --version fi # TFCI Mac VM images do not have twine installed by default so we need to # install it manually. We use Twine in nightly builds to upload Python packages # to PyPI.
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ci/official/containers/linux_arm64/devel.usertools/rename_and_verify_wheels.sh
# Check and rename wheels with auditwheel. Inserts the platform tags like # "manylinux_xyz" into the wheel filename. set -euxo pipefail for wheel in /tf/pkg/*.whl; do echo "Checking and renaming $wheel..." time python3 -m auditwheel repair --plat manylinux2014_aarch64 "$wheel" --wheel-dir /tf/pkg 2>&1 | tee check.txt # We don't need the original wheel if it was renamed
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CONTRIBUTING.md
# Contributing guidelines ## Pull Request Checklist Before sending your pull requests, make sure you do the following: - Read the [contributing guidelines](CONTRIBUTING.md). - Read the [Code of Conduct](CODE_OF_CONDUCT.md). - Ensure you have signed the [Contributor License Agreement (CLA)](https://cla.developers.google.com/). - Check if your changes are consistent with the
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tensorflow/c/eager/c_api_test.cc
// Add a config_proto attr, to trigger grappler graph rewrites in the current // eager runtime. if (enable_grappler) { tensorflow::ConfigProto config; // Do not skip grappler optimization even for small graphs. config.mutable_graph_options() ->mutable_rewrite_options() ->set_min_graph_nodes(-1); string serialized_config;
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tensorflow/c/c_api_test.cc
// That will require setting up the tensorflow build with gmock. #define EXPECT_TF_META(attr_name, expected_list_size, expected_type, \ expected_total_size) \ do { \ auto m = TF_OperationGetAttrMetadata(oper, attr_name, s_); \ EXPECT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_); \
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