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tensorflow/c/c_api_internal.h
#endif // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD) update_docs_called(false) { } #if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD) tensorflow::ApiDefMap api_def_map TF_GUARDED_BY(lock); #endif // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD) bool update_docs_called TF_GUARDED_BY(lock); tensorflow::mutex lock; };
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# > 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. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling
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ci/official/containers/linux_arm64/cuda.packages.txt
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation libcudnn8=8.9.6.50-1+cuda12.2 libcudnn8-dev=8.9.6.50-1+cuda12.2 # This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image. # For now it ensures that we install at least version 12.3.107 of PTXAS, # since 12.3.103 has a bug.
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CODEOWNERS
/tensorflow/core/kernels/sparse/ @penpornk /tensorflow/core/nccl/ @azaks2 @chsigg /tensorflow/python/autograph/ @mdanatg /tensorflow/python/debug @caisq /tensorflow/python/eager @rohan100jain /tensorflow/tools/docs/ @markdaoust /tensorflow/compiler/mlir/ @aminim /tensorflow/core/ir/ @aminim /tensorflow/core/transforms/ @aminim
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.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 # Disable clang extension that rejects type definitions within offsetof.
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ci/official/pycpp.sh
fi # Note: the profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling
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ci/official/envs/rbe
# This env is only valid when RBE is available on the selected platform, since # it enables a derived --config setting. If RBE is not available (i.e. there # is no --config setting), bazel would fail and quit. This script does a quick # check This script checks for such errors early if ! grep "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" .bazelrc; then cat <<EOF ERROR: RBE was enabled via the 'rbe' env in the 'TFCI' variable. TFCI: $TFCI
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ISSUES.md
If you open a GitHub Issue, here is our policy: 1. It must be a bug/performance issue or a feature request or a build issue or a documentation issue (for small doc fixes please send a PR instead). 1. Make sure the Issue Template is filled out. 1. The issue should be related to the repo it is created in. **Here's why we have this policy:** We want to focus on the work that benefits the whole community, e.g., fixing bugs and adding features. Individual support
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tensorflow/c/eager/immediate_execution_tensor_handle.h
virtual bool PreferCustomSummarizer() const { return false; } // Returns a string which summarizes the value of this TensorHandle, for // debugging. Does not include a shape or dtype. // // Included in the default implementation of DebugString. virtual Status SummarizeValue(std::string& summary) const; // For LLVM style RTTI.
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.github/ISSUE_TEMPLATE/tflite-other.md
markdown attributes: value: | Please make sure that this is a bug. As per our [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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