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CONTRIBUTING.md
may exist in your changes. #### Running unit tests There are two ways to run TensorFlow unit tests. 1. Using tools and libraries installed directly on your system. Refer to the [CPU-only developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile) and
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tensorflow/c/eager/tape.h
private: TensorTape tensor_tape_; OpTape<BackwardFunction, TapeTensor> op_tape_; int64_t next_op_id_{0}; // Map from tensor id to number of remaining usages (i.e. how many entries in // the tape refer to it); to aid in tape garbage collection. std::unordered_map<int64_t, int64_t> tensor_usage_; // If false, all activations are deleted in the first call to ComputeGradient. // Else, only when this is destructed.
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