// this is 0 (which refers to an always existent empty buffer).
  //
  // The data_buffer itself is an opaque container, with the assumption that the
  // target device is little-endian. In addition, all builtin operators assume
  // the memory is ordered such that if `shape` is [4, 3, 2], then index
  // [i, j, k] maps to data_buffer[i*3*2 + j*2 + k].
  buffer:uint;
  name:string;  // For debugging and importing back into tensorflow.

  // this is 0 (which refers to an always existent empty buffer).
  //
  // The data_buffer itself is an opaque container, with the assumption that the
  // target device is little-endian. In addition, all builtin operators assume
  // the memory is ordered such that if `shape` is [4, 3, 2], then index
  // [i, j, k] maps to data_buffer[i*3*2 + j*2 + k].
  buffer:uint;
  name:string;  // For debugging and importing back into tensorflow.

  // this is 0 (which refers to an always existent empty buffer).
  //
  // The data_buffer itself is an opaque container, with the assumption that the
  // target device is little-endian. In addition, all builtin operators assume
  // the memory is ordered such that if `shape` is [4, 3, 2], then index
  // [i, j, k] maps to data_buffer[i*3*2 + j*2 + k].
  buffer:uint;
  name:string;  // For debugging and importing back into tensorflow.

    return;
  }

  TSL_Status c_status;
  PJRT_Buffer* dst_buffer = TfnpdApi()->TFNPD_SameDevicePjRtBufferCopy(
      *c_src_buffer, (*c_api_client)->pjrt_c_client(), &c_status);
  if (!c_status.status.ok()) {
    done(c_status.status);
    return;
  }

  auto set_c_buffer_status =
      SetPjRtCBufferToTensor(dst_buffer, *c_api_client, output_tensor);
  if (!set_c_buffer_status.ok()) {