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.github/workflows/issue-on-pr-rollback.yml
# limitations under the License. # ============================================================================== name: Creates a GitHub Issue when a PR Rolled back via Commit to Master on: push: branches: - master permissions: {} jobs: create-issue-on-pr-rollback: runs-on: ubuntu-latest permissions: contents: read issues: write pull-requests: read
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.github/ISSUE_TEMPLATE/tflite-other.md
[GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. - type: markdown attributes: value: |
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ci/official/wheel_test/README.md
[requirements_updater](https://github.com/tensorflow/tensorflow/tree/master/ci/official/requirements_updater) tool using the path to this wheel file. ### Hermetic Python For details about hermetic Python and setting its toolchain version, see [requirements updater readme](https://github.com/tensorflow/tensorflow/blob/master/ci/official/requirements_updater/README.md) ### Prerequisites for Local Testing
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ci/official/utilities/code_check_changed_files.bats
git diff --diff-filter ACMRT --name-only pull_branch^ pull_branch > $BATS_FILE_TMPDIR/changed_files else # If the branch is not present, then diff against origin/master git diff --diff-filter ACMRT --name-only origin/master > $BATS_FILE_TMPDIR/changed_files fi } # Note: this is excluded on the full code base, since any submitted code must # have passed Google's internal style guidelines.
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.github/workflows/arm-ci.yml
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# > on the host machine. If we don't have --distinct_host_configuration=false, # > the core TensorFlow code will be built once for the host and once for the # > target platform. # See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation build --distinct_host_configuration=false # Store performance profiling log in the mounted artifact directory.
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// The URI schemes that need to be tested are provided by the user via flags // (or, if none is supplied, all existing schemes are used). As a scheme can // become available after a shared object with a filesystem implementation is // loaded, we can only check for availability after all arguments have been // parsed. // // Furthermore, as `INSTANTIATE_TEST_SUITE_P` needs to be at global level and we
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tensorflow/c/c_api_test.cc
private: TF_Graph* graph_; int counter_; }; // Helper macros for the TF_OperationGetAttr* tests. // TODO(ashankar): Use gmock matchers instead? // (https://github.com/google/googletest/blob/master/googlemock/docs/CookBook.md#writing-new-parameterized-matchers-quickly) // That will require setting up the tensorflow build with gmock. #define EXPECT_TF_META(attr_name, expected_list_size, expected_type, \
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# their dependencies. It's a rewritten version of the "smoke test", an older # Python script that was very difficult to understand. See # https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/pip_smoke_test.py @test "Pip package includes all required //tensorflow dependencies" { # grep patterns for packages whose dependencies can be ignored
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tensorflow/c/eager/c_api.h
// a copy, returns the destination device of the copy. Note that the returned // device name is not always the device holding the tensor handle's memory. If // you want the latter, use TFE_TensorHandleBackingDeviceName. This function // will block till the operation that produces `h` has completed. TF_CAPI_EXPORT extern const char* TFE_TensorHandleDeviceName( TFE_TensorHandle* h, TF_Status* status);
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