std::string summary;
  Status cpp_status = parallel_tensor->SummarizeValue(summary);
  if (!cpp_status.ok()) {
    tsl::Set_TF_Status_from_Status(status, cpp_status);
    return nullptr;
  }
  return TF_NewBufferFromString(summary.data(), summary.size());
}

TensorHandlePtr ParallelTensorToTensorHandle(
    const std::string& parallel_device_name, TFE_Context* context,
    std::unique_ptr<ParallelTensor> t, TF_Status* status) {

  TF_DeprecatedSession* session = TF_NewDeprecatedSession(opt, s);
  TF_DeleteSessionOptions(opt);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  TF_Buffer* run_options = TF_NewBufferFromString("", 0);
  TF_Buffer* run_metadata = TF_NewBuffer();
  TF_Run(session, run_options, nullptr, nullptr, 0, nullptr, nullptr, 0,
         nullptr, 0, run_metadata, s);

      out_shape_and_type->set_dtype(p.dtype);
      *out_shape_and_type->mutable_type() = p.type;
    }
  }
  string str_data;
  handle_data.SerializeToString(&str_data);

  TF_Buffer* result = TF_NewBufferFromString(str_data.c_str(), str_data.size());
  return result;
}

void TF_SetHandleShapeAndType(TF_Graph* graph, TF_Output output,
                              const void* proto, size_t proto_len,