auto status = pjrt::PjrtApi(DEVICE_CPU);
  if (!status.ok()) {
    TF_ASSERT_OK(pjrt::SetPjrtApi(DEVICE_CPU, GetPjrtApi()));
  }
  TF_ASSERT_OK_AND_ASSIGN(auto pjrt_client, xla::GetCApiClient(DEVICE_CPU));
  TF_ASSERT_OK(SetPjRtClientInTFGlobalResourceManager(DEVICE_CPU,
                                                      std::move(pjrt_client)));

  TF_ASSERT_OK_AND_ASSIGN(
      auto pjrt_client_get,

                          TF_Status* const status) -> void {
    TF_SetStatus(status, TF_OK, "");
    PopulateDefaultParam(params);
    params->device_type = "Device1";
  };

  TF_ASSERT_OK(InitGraphPlugin(plugin_init_0));
  TF_ASSERT_OK(InitGraphPlugin(plugin_init_1));
  ASSERT_EQ(PluginGraphOptimizerRegistry::CreateOptimizers(
                std::set<string>{"Device0", "Device1"})
                .size(),
            2);
}

            {"instance_key", 0},
            {"merge_op", "Add"},
            {"final_op", "Id"},
            {"subdiv_offsets", std::vector<int>()}},
           /*dep=*/{"assert"}},
      });
  TF_ASSERT_OK(ContextFromInterface(unwrap(context.get()))
                   ->AddFunctionDef(assert_and_collective));

  std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> call_op(

  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
  ImmediateExecutionTensorHandle* unwrapped_handle =
      tensorflow::unwrap(device_value.get());
  std::string summarized;
  TF_ASSERT_OK(unwrapped_handle->SummarizeValue(summarized));
  EXPECT_THAT(summarized, HasSubstr("\"CPU:0\": 3"));
}

}  // namespace parallel_device

  TF_Graph* graph = TF_NewGraph();
  TF_Buffer* buffer = TF_NewBuffer();

  TF_GraphGetOpDef(graph, "Add", buffer, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status));
  const OpDef* expected_op_def;
  TF_ASSERT_OK(OpRegistry::Global()->LookUpOpDef("Add", &expected_op_def));
  string expected_serialized;
  expected_op_def->SerializeToString(&expected_serialized);
  string actual_string(reinterpret_cast<const char*>(buffer->data),

    graph optimizer options are now specified via
    `GraphOptions.OptimizerOptions`.
*   `ASSERT_OK` / `EXPECT_OK` macros conflicted with external projects, so they
    were renamed `TF_ASSERT_OK`, `TF_EXPECT_OK`. The existing macros are
    currently maintained for short-term compatibility but will be removed.
*   The non-public `nn.rnn` and the various `nn.seq2seq` methods now return just