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tensorflow/c/eager/tape.h
// values and hence receives 5 gradient values during backprop. However the // gradient function uses only the first of those values and ignores the rest. // The entry, "FusedBatchNorm": [1, 2, 3, 4], indicates that only the gradient // corresponding to index 0 is used, and the gradient values at indices 1-4 are // ignored (and hence can be None). The backprop algorithm can then leverage
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tensorflow/c/eager/c_api.h
TFE_TensorHandle* h, TF_Status* status); // This function will block till the operation that produces `h` has // completed. The memory returned might alias the internal memory used by // TensorFlow. Hence, callers should not mutate this memory (for example by // modifying the memory region pointed to by TF_TensorData() on the returned // TF_Tensor). TF_CAPI_EXPORT extern TF_Tensor* TFE_TensorHandleResolve(TFE_TensorHandle* h,
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tensorflow/c/eager/gradients.h
// maintains the map from `op_id` to a `OpTapeEntry` which stores the `op_type`, // inputs and outputs and the gradient function These data structures combined // allow us to trace the data dependencies between operations and hence compute // gradients. // // `ZerosLike` is not expected to be called and returns a nullptr. The creation // of default zeros grads is handled by the `DefaultGradientFunction` registered // for each op.
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