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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 [guidelines](#general-guidelines-and-philosophy-for-contribution). - Changes are consistent with the [Coding Style](#c-coding-style). - Run the [unit tests](#running-unit-tests). ## How to become a contributor and submit your own code
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RELEASE.md
* `stream_executor` * Top level `stream_executor` directory has been deleted, users should use equivalent headers and targets under `compiler/xla/stream_executor`. * `tf.nn` * Added `tf.nn.experimental.general_dropout`, which is similar to `tf.random.experimental.stateless_dropout` but accepts a custom sampler function. * `tf.types.experimental.GenericFunction`
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.bazelrc
# nonccl: Disable nccl support. # # # Remote build execution options (only configured to work with TF team projects for now.) # rbe_base: General RBE options shared by all flavors. # rbe_linux: General RBE options used on all linux builds. # rbe_win_base: General RBE options used on all Windows builds. Not to be used standalone. # rbe_win_clang: Options specific to compiling using Clang. #
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tensorflow/c/c_api_experimental.cc
tensorflow::GetMarkForCompilationPassFlags()->xla_auto_jit_flag; return static_cast<unsigned char>(flag.optimization_level_single_gpu > 0 || flag.optimization_level_general > 0); } unsigned char TF_GetXlaConstantFoldingDisabled() { return static_cast<unsigned char>( tensorflow::GetBuildXlaOpsPassFlags()->tf_xla_disable_constant_folding); }
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tensorflow/c/eager/tape.h
// (now inaccessible) corresponding JVPs, but ForwardAccumulator's destructor // will release remaining references. // // This method is not thread-safe (and in general ForwardAccumulator is not // thread-safe). Status Accumulate( const string& op_type, const std::vector<TapeTensor>& input_tensors, const std::vector<TapeTensor>& output_tensors,
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