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CONTRIBUTING.md
tensorflow/tools/ci_build/ci_build.sh CPU bazel test //tensorflow/... ``` See [TensorFlow Builds](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/ci_build) for details. #### Running doctest for testable docstring There are two ways to test the code in the docstring locally: 1. If you are only changing the docstring of a class/function/method, then you
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LICENSE
All rights reserved. Caffe uses a shared copyright model: each contributor holds copyright over their contributions to Caffe. The project versioning records all such contribution and copyright details. If a contributor wants to further mark their specific copyright on a particular contribution, they should indicate their copyright solely in the commit message of the change when it is committed. LICENSE
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tensorflow/c/eager/c_api.h
// (1) TF_Output or TFE_TensorHandle* as arguments to TF_AddInput, // TF_AddInputList // (2) TF_ColocateWith, TF_AddControlInput etc. do not make sense. // (3) Implementation detail: Avoid use of NodeBuilder/NodeDefBuilder since // the additional sanity checks there seem unnecessary; typedef struct TFE_Op TFE_Op; TF_CAPI_EXPORT extern TFE_Op* TFE_NewOp(TFE_Context* ctx,
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ci/official/utilities/extract_resultstore_links.py
failure.text = failure_msg else: properties = ElemTree.SubElement(testcase, 'properties') success_msg = 'Build completed successfully.\n' f'See {url} for details.' ElemTree.SubElement(properties, 'property', name='description', value=success_msg) if command: ElemTree.SubElement(properties, 'property',
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tensorflow/c/eager/tape.h
gtl::ArraySlice<Gradient*> output_gradients, absl::Span<Gradient*> result, bool build_default_zeros_grads = true); // Whether the tape is persistent. See ctor for detailed description. bool IsPersistent() const { return persistent_; } private: TensorTape tensor_tape_; OpTape<BackwardFunction, TapeTensor> op_tape_; int64_t next_op_id_{0};
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