private final ModelType<T> type;
        private final List<ModelReference<?>> inputs;

        private UnmanagedElementCreationAction(ModelRuleDescriptor descriptor, ModelReference<?> subject, List<ModelReference<?>> inputs, ModelType<T> type) {
            this.subject = subject;
            this.inputs = inputs;
            this.descriptor = descriptor;
            this.type = type;
        }

        @Override

  std::unordered_set<string> inputs;
  std::unordered_set<string> outputs;
  TF_ASSERT_OK(FreezeSavedModel(saved_model_bundle, &frozen_graph_def, &inputs,
                                &outputs));
  EXPECT_EQ(expected_inputs, inputs);
  EXPECT_EQ(expected_outputs, outputs);
}

TEST_F(FreezeTest, InputsAndOutputsMultipleSignatureDefs) {
  // Test that inputs and outputs get correctly merged and populated when

                && Objects.equals(inputs, that.inputs);
    }

    @Override
    public int hashCode() {
        return Objects.hash(modelId, location, inputs);
    }

    Stream<InputSource> sources() {
        return inputs != null ? inputs.stream() : Stream.of(this);
    }

    @Override
    public String toString() {
        if (inputs != null) {

  std::vector<NodeDefBuilder::NodeOut> inputs;
  inputs.emplace_back("min", 0, DT_FLOAT);
  inputs.emplace_back("max", 0, DT_FLOAT);
  inputs.emplace_back("histogram", 0, DT_INT64);
  inputs.emplace_back("min", 0, DT_FLOAT);
  inputs.emplace_back("max", 0, DT_FLOAT);
  inputs.emplace_back("histogram", 0, DT_INT64);

  const std::string dir = testing::TmpDir();

    private final List<ModelReference<?>> inputs;

    public MethodBackedModelAction(ModelRuleDescriptor descriptor, ModelReference<T> subject, List<ModelReference<?>> inputs) {
        super(subject, descriptor);
        this.inputs = inputs;
    }

    @Override
    public List<? extends ModelReference<?>> getInputs() {
        return inputs;
    }

    @Override

public class SynonymItem extends DictionaryItem {
    private final String[] inputs;

    private final String[] outputs;

    private String[] newInputs;

    private String[] newOutputs;

    public SynonymItem(final long id, final String[] inputs, final String[] outputs) {
        this.id = id;
        this.inputs = inputs;
        this.outputs = outputs;

        if (id == 0) {
            // create

jobs:
  cherrypick:
    name: Cherrypick to ${{ github.event.inputs.release_branch}} - ${{ github.event.inputs.git_commit }}
    runs-on: ubuntu-latest
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    steps:
    - name: Checkout code
      uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0
      with:
        ref: ${{ github.event.inputs.release_branch }}

  }
  repeated QuantizationUnit unit = 5;

  // Quantization option information for the current unit.
  QuantizationMethod quantization_method = 6;

  reserved 1 to 4;
}

// List of supported opsets to deploy the quantized model.
// The quantized model contains different set of ops depending on the opset.
// NEXT ID: 5
enum OpSet {
  OP_SET_UNSPECIFIED = 0;  // go/do-include-enum-unspecified

  std::vector<std::pair<string, Tensor>> inputs;
  EXPECT_THAT(GetInputValues(sig_, local_request, inputs),
              StatusIs(absl::StatusCode::kInvalidArgument));
}

TEST_F(GetInputValuesTest, RequestContainsAllTheInputs) {
  std::vector<std::pair<string, Tensor>> inputs;
  TF_EXPECT_OK(GetInputValues(sig_, request_, inputs));

  std::vector<std::pair<string, TensorProto>> exp_inputs;

// additional captures should cause an error.
TEST_F(SavedConcreteFunctionLoadingTest,
       TooManyInputsWithCaptureInSavedConcreteFunction) {
  // `saved` has 3 inputs, and 1 capture, for a total of 4 inputs.
  SavedConcreteFunction saved;
  *saved.mutable_canonicalized_input_signature() =
      testing::ThreeArgInputSignature();