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  1. tensorflow/c/eager/tape.h

      in_grads.reserve(input_tensors.size());
      for (int target_index = 0; target_index < input_tensors.size();
           ++target_index) {
        const auto current_grad =
            accumulated_gradients_.find(input_tensors[target_index].GetID());
        if (current_grad == accumulated_gradients_.end()) {
          if (IsDtypeTrainable(input_tensors[target_index].GetDType())) {
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Apr 02 12:40:29 GMT 2024
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