EXPECT_TRUE(IsTypeLegalizedWithMlir(TypeID::get<TF::ModOp>()));
  EXPECT_FALSE(HasTf2XlaFallback(TypeID::get<TF::ModOp>()));
  EXPECT_FALSE(IsOpAllowedTf2xlaFallback(TypeID::get<TF::ModOp>()));
  EXPECT_FALSE(IsOpAllowedTf2xlaPreferred(TypeID::get<TF::ModOp>()));
}

TEST_F(LegalizationOpConfigTest, ExpectsTrueForTF2XLATypeID) {
  EXPECT_TRUE(HasTf2XlaFallback(TypeID::get<TF::AllOp>()));

	}
	return ut
}

// A typeId represents a gob Type as an integer that can be passed on the wire.
// Internally, typeIds are used as keys to a map to recover the underlying type info.
type typeId int32

var typeLock sync.Mutex // set while building a type
const firstUserId = 64  // lowest id number granted to user

type gobType interface {
	id() typeId
	setId(id typeId)
	name() string

  template <typename OpType>
  void Add() {
    ops_type_ids_.insert(TypeID::get<OpType>());
  }

  // Returns the type id of the ops in the TPUEmbeddingOpRegistry.
  const llvm::SmallDenseSet<mlir::TypeID>& GetOpsTypeIds();

  // Returns the global registry.
  static TPUEmbeddingOpsRegistry& Global();

 private:
  llvm::SmallDenseSet<mlir::TypeID> ops_type_ids_{};
};
}  // namespace TF
}  // namespace mlir

	}
	dec.r = r
	dec.wireType = make(map[typeId]*wireType)
	dec.decoderCache = make(map[reflect.Type]map[typeId]**decEngine)
	dec.ignorerCache = make(map[typeId]**decEngine)
	dec.countBuf = make([]byte, 9) // counts may be uint64s (unlikely!), require 9 bytes

	return dec
}

// recvType loads the definition of a type.
func (dec *Decoder) recvType(id typeId) {
	// Have we already seen this type? That's an error

#include "mlir/IR/Types.h"  // from @llvm-project
#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "mlir/Support/TypeID.h"  // from @llvm-project

namespace mlir {
namespace TF {

// Returns whether type can be further refined.
bool CanBeRefined(Type type);

        )
      },
    )

  /** The type of the parameters depends on the algorithm that precedes it. */
  private val algorithmParameters: DerAdapter<Any?> =
    Adapters.usingTypeHint { typeHint ->
      when (typeHint) {
        // This type is pretty strange. The spec says that for certain algorithms we must encode null
        // when it is present, and for others we must omit it!

  // A hook may use the public addOperations() method to add additional
  // operations to the dialect. Hooks will only apply to subsequent
  // instantations of the Dialect/MLIRContext.
  static void RegisterAdditionalOperationHook(TypeID uniqueId,
                                              AdditionalOpFunction fn);

  // Re-define publicly the protected addOperations() method from the Dialect
  // class, usually used in a Dialect constructor. This allows hook

    TypeRegistryAdapter(TypeRegistry typeRegistry) {
        this.typeRegistry = requireNonNull(typeRegistry, "typeRegistry");
    }

    @Override
    public ArtifactType get(String typeId) {
        Type type = typeRegistry.require(typeId);
        if (type instanceof ArtifactType) {
            return (ArtifactType) type;
        }
        if (type != null) {
            return new DefaultType(
                    type.id(),

// These are invoked at construction time.
static DenseMap<TypeID, TensorFlowDialect::AdditionalOpFunction>
    &GetAdditionalOperationHooks() {
  static auto *additional_operation_hooks =
      new DenseMap<TypeID, TensorFlowDialect::AdditionalOpFunction>();
  return *additional_operation_hooks;
}

void TensorFlowDialect::RegisterAdditionalOperationHook(
    TypeID id, AdditionalOpFunction fn) {

   * and output.
   */
  public void testNewParameterizedTypeImmutability() {
    Type[] typesIn = {String.class, Integer.class};
    ParameterizedType parameterizedType = Types.newParameterizedType(Map.class, typesIn);
    typesIn[0] = null;
    typesIn[1] = null;

    Type[] typesOut = parameterizedType.getActualTypeArguments();
    typesOut[0] = null;
    typesOut[1] = null;