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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
build --distinct_host_configuration=false # Disable clang extension that rejects type definitions within offsetof. # This was added in clang-16 by https://reviews.llvm.org/D133574. # Can be removed once upb is updated, since a type definition is used within # offset of in the current version of ubp.
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CONTRIBUTING.md
TensorFlow has passed version 1.0 and hence cannot make non-backward-compatible API changes without a major release. Reviewers of your pull request will comment on any API compatibility issues [following API review practices](https://github.com/tensorflow/community/blob/master/governance/api-reviews.md). * When you contribute a new feature to TensorFlow, the maintenance burden is
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ci/official/utilities/code_check_changed_files.bats
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.bazelrc
# This is needed for all Clang17 builds but must not be present in GCC builds. build:rbe_linux_cpu --copt=-Wno-error=unused-command-line-argument # This was added in clang-16 by https://reviews.llvm.org/D133574. # Can be removed once upb is updated, since a type definition is used within # offset of in the current version of ubp.
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RELEASE.md
## Major Features And Improvements * [Eager execution](https://github.com/tensorflow/tensorflow/tree/r1.5/tensorflow/contrib/eager) preview version is now available. * [TensorFlow Lite](https://github.com/tensorflow/tensorflow/tree/r1.5/tensorflow/lite) dev preview is now available. * CUDA 9.0 and cuDNN 7 support. * Accelerated Linear Algebra (XLA): * Add `complex64` support to XLA compiler.
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ci/official/utilities/code_check_full.bats
bazel test $TFCI_BAZEL_COMMON_ARGS //tensorflow/tools/api/tests:api_compatibility_test echo "You have to re-generate the TF API goldens and have the API changes reviewed." echo "Look at the instructions for ':api_compatibility_test -- --update_goldens=True'" } # See b/279852433 (internal). # TODO(b/279852433) Replace deps(//tensorflow/...) with deps(//...)
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README.md
b'Hello, TensorFlow!' ``` For more examples, see the [TensorFlow tutorials](https://www.tensorflow.org/tutorials/). ## Contribution guidelines **If you want to contribute to TensorFlow, be sure to review the [contribution guidelines](CONTRIBUTING.md). This project adheres to TensorFlow's [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code.**
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