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  1. tensorflow/c/eager/parallel_device/parallel_device_lib.cc

                     TF_Message(first_bad_status.get()));
        return result;
      }
      // For each output of the original operation, pack the per-device
      // TensorHandles we've computed into a single parallel TensorHandle.
      std::vector<std::unique_ptr<ParallelTensor>> per_device_outputs;
      per_device_outputs.reserve(first_op_output_count);
      for (int i = 0; i < first_op_output_count; ++i) {
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Fri Feb 09 07:47:20 GMT 2024
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