rng.uniform(low=0.0, high=1.0, size=static_input_shape).astype(
            np.float32
        )
    )

    def data_gen() -> repr_dataset.RepresentativeDataset:
      for _ in range(100):
        yield {
            'input_tensor': rng.uniform(
                low=0.0, high=1.0, size=static_input_shape
            ).astype(np.float32)
        }

// Token type.
def TfeTokenType : Type<CPred<"$_self.isa<TokenType>()">, "token">,
                   BuildableType<"$_builder.getType<TokenType>()">;

// TODO(hinsu): Define and use TensorType instead of AnyType for data operands
// and results. For example, MergeOp output type.

//===----------------------------------------------------------------------===//
// TensorFlow Executor Type Constraint

	return objLayer, erasureDirs, nil
}

// cmdType - Represents different service subcomands like status, stop
// and restart.
type cmdType int

const (
	restartCmd cmdType = iota
	stopCmd
)

// toServiceSignal - Helper function that translates a given cmdType
// value to its corresponding serviceSignal value.
func (c cmdType) toServiceSignal() serviceSignal {
	switch c {
	case restartCmd:

```
  }];

  let arguments = (ins
    Variadic<AnyType>:$replicated_inputs,
    Variadic<AnyType>:$packed_inputs,

    ConfinedAttr<I32Attr, [IntMinValue<2>]>:$n,
    OptionalAttr<DictionaryAttr>:$devices
  );

  let results = (outs
    Variadic<AnyType>:$replicated_outputs
  );

  let regions = (region SizedRegion<1>:$body);

import org.gradle.plugins.signing.signatory.SignatoryProvider;
import org.gradle.security.internal.BaseSignatoryProvider;
import org.gradle.util.internal.ConfigureUtil;

import static org.codehaus.groovy.runtime.DefaultGroovyMethods.asType;

public interface ConfigurableSignatoryProvider<T extends Signatory> extends BaseSignatoryProvider<T>, SignatoryProvider<T> {
    @Override
    default void configure(SigningExtension settings, Closure closure) {

	"istio.io/istio/pkg/kube"
	"istio.io/istio/pkg/log"
)

// cmdType is one of the commands used to generate and optionally apply a manifest.
type cmdType string

const (
	// istioctl manifest generate
	cmdGenerate cmdType = "istioctl manifest generate"
	// istioctl install
	cmdApply cmdType = "istioctl install"
	// in-cluster controller
	cmdController cmdType = "operator controller"
)

		case TINTER:
			// Make sure named any type matches any unnamed empty interface
			// (but not a shape type, if identStrict).
			isUnnamedEface := func(t *Type) bool { return t.IsEmptyInterface() && t.Sym() == nil }
			if flags&identStrict != 0 {
				return t1 == AnyType && isUnnamedEface(t2) && !t2.HasShape() || t2 == AnyType && isUnnamedEface(t1) && !t1.HasShape()
			}

	// invalid type
	types.Typ[types.Invalid], // only appears in packages with errors

	// used internally by gc; never used by this package or in .a files
	// not to be confused with the universe any
	anyType{},

	// comparable
	types.Universe.Lookup("comparable").Type(),

	// "any" has special handling: see usage of predeclared.
}

type anyType struct{}

						},
						map[interface{}]interface{}{
							"group":   "mygroup",
							"version": "v3",
							"kind":    "MyOtherKind",
						},
					},
				},
			},
		},
	}

	myTypes := []smdschema.TypeDef{
		{
			Name: "def0",
			Atom: smdschema.Atom{},
		},
		{
			Name: "def0.1",
			Atom: smdschema.Atom{},
		},
		{
			Name: "def0.2",
			Atom: smdschema.Atom{},

    def data_gen():
      for _ in range(255):
        yield {
            'x': ops.convert_to_tensor(
                np.random.uniform(size=(10)).astype('f4')
            ),
            'y': ops.convert_to_tensor(
                np.random.uniform(size=(10)).astype('f4')
            ),
        }

    root = ModelWithAdd()

    temp_path = self.create_tempdir().full_path
    saved_model_save.save(