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  1. 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
    Plain Text
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  2. 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
    
    Plain Text
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  3. 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,
    C
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  4. 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',
    Python
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  5. 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};
    
    C
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