output_buffer_);
  EXPECT_THAT(status, Eq(kTfLiteOk));

  const Model* output_model = GetModel(output_buffer_.data());
  ASSERT_TRUE(output_model);
}

TEST_P(QuantizeConvModelTest, SkipUnspecifiedLayer) {
  auto status = QuantizeModel(&model_, TensorType_FLOAT32, TensorType_FLOAT32,

  // Nothing should be compiled.
  EXPECT_EQ(0, clusters.size());
}

TEST(XlaCompilationTest, DeterministicClusterNames) {
  auto create_graph =
      [](absl::string_view output_name) -> std::unique_ptr<Graph> {
    std::unique_ptr<Graph> graph(new Graph(OpRegistry::Global()));
    GraphDefBuilder builder(GraphDefBuilder::kFailImmediately);
    Tensor t(DT_FLOAT, TensorShape());

  const auto signature_def = signature_def_map.at("regress_x_to_y");

  const string input_name =
      signature_def.inputs().at(tensorflow::kRegressInputs).name();
  const string output_name =
      signature_def.outputs().at(tensorflow::kRegressOutputs).name();

  // Write {0, 1, 2, 3} as tensorflow::Example inputs.
  Tensor input(tensorflow::DT_STRING, TensorShape({4}));