func (f *Selector) Selects(inputs Set) bool {
	return !inputs.containsAny(f.absent) && inputs.containsAll(f.present)
}

// Excludes returns false, if the given set of labels, even combined with new ones, could end up satisfying the Selector.
// It returns false, if Matches would never return true, even if new labels are added to the input set.
func (f *Selector) Excludes(inputs Set) bool {
	return inputs.containsAny(f.absent)
}

                this.inputs = ImmutableList.copyOf(inputs);
                this.action = action;
            }

            @Override
            public void execute(MutableModelNode modelNode, List<ModelView<?>> inputs) {
                action.execute(modelNode, inputs);
            }

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

                final boolean supportsNestedRules = node.canBeViewedAs(MANAGED_INSTANCE_TYPE);
                InputReferences inputs = transformedClosure.inputReferences();
                List<InputReference> inputReferences = supportsNestedRules ? inputs.getOwnReferences() : inputs.getAllReferences();
                final Map<String, PotentialInput> inputValues = new LinkedHashMap<>();

        (MHLO_CompositeOp:$composite
          (variadic $inputs),
          ConstantStrAttr<StrAttr, "aten.gelu.default">, $attrs, $_, $_),
        (TFL_GeluOp $inputs, ConstBoolAttrFalse),
        [(IsStrCompositeAttribute<"approximate", "none"> $attrs)]>;

def LegalizeCompositeApproximateAtenGELU : Pat<
        (MHLO_CompositeOp:$composite
          (variadic $inputs),

Status ReluModel(AbstractContext* ctx,
                 absl::Span<AbstractTensorHandle* const> inputs,
                 absl::Span<AbstractTensorHandle*> outputs) {
  return ops::Relu(ctx, inputs[0], &outputs[0], "Relu");
}

Status SparseSoftmaxCrossEntropyWithLogitsModel(
    AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
    absl::Span<AbstractTensorHandle*> outputs) {
  AbstractTensorHandle* loss;

                             absl::Span<AbstractTensorHandle* const> inputs,
                             std::vector<AbstractTensorHandle*>* params) {
  tracing::TracingTensorHandle* handle = nullptr;
  for (auto input : inputs) {
    PartialTensorShape shape;
    TF_RETURN_IF_ERROR(input->Shape(&shape));
    TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingContext>(ctx)->AddParameter(
        input->DataType(), shape, &handle));
    params->emplace_back(handle);

    void people(ModelMap<Person> people) {
    }
}

apply plugin: PersonRules

// tag::configure-rule[]
// tag::create-rule[]
// tag::rule-inputs[]
// tag::create-rule-no-config[]
// tag::managed-type-nested-config-rule[]
model {
// end::create-rule[]
// end::rule-inputs[]
// end::create-rule-no-config[]
// end::managed-type-nested-config-rule[]
    person {
        lastName = "Smith"
    }
// end::configure-rule[]

                   absl::Span<AbstractTensorHandle* const> inputs,
                   absl::Span<AbstractTensorHandle*> outputs) {
  return ops::MatMul(ctx, inputs[0], inputs[1], &outputs[0],
                     /*transpose_a=*/false,
                     /*transpose_b=*/false, "MatMul");
}

Status MulModel(AbstractContext* ctx,
                absl::Span<AbstractTensorHandle* const> inputs,
                absl::Span<AbstractTensorHandle*> outputs) {

}
Status TapeOperation::AddInput(AbstractTensorHandle* input) {
  TF_RETURN_IF_ERROR(parent_op_->AddInput(input));
  forward_op_.inputs.push_back(input);
  return absl::OkStatus();
}
Status TapeOperation::AddInputList(
    absl::Span<AbstractTensorHandle* const> inputs) {
  TF_RETURN_IF_ERROR(parent_op_->AddInputList(inputs));
  for (auto input : inputs) {
    forward_op_.inputs.push_back(input);
  }
  return absl::OkStatus();
}

     */
    SourceLocation sourceLocation();

    /**
     * Marks this closure as a rule action, with the given inputs
     *
     * @param nestedRuleFactory Factory to use to create nested rules.
     */
    void makeRule(PotentialInputs inputs, @Nullable ClosureBackedRuleFactory nestedRuleFactory);