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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 - 47.2K bytes - Viewed (1)