TypeID::get<TF::CosOp>(),
      TypeID::get<TF::TanOp>(),
      TypeID::get<TF::DiagPartOp>(),
      TypeID::get<TF::EinsumOp>(),
      TypeID::get<TF::ExpOp>(),
      TypeID::get<TF::Expm1Op>(),
      TypeID::get<TF::FakeQuantWithMinMaxArgsOp>(),
      TypeID::get<TF::FloorOp>(),
      TypeID::get<TF::IFFTOp>(),
      TypeID::get<TF::ImagOp>(),
      TypeID::get<TF::IsFiniteOp>(),
      TypeID::get<TF::IsInfOp>(),

  static auto* ops = [] {
    llvm::SmallDenseSet<mlir::TypeID, 32>* ops_set =
        new llvm::SmallDenseSet<mlir::TypeID, 32>{
            TypeID::get<mlir::ModuleOp>(),
            TypeID::get<mlir::tf_executor::GraphOp>(),
            TypeID::get<mlir::func::ReturnOp>(),
            TypeID::get<mlir::func::FuncOp>(),
            TypeID::get<mlir::tf_executor::YieldOp>(),
            TypeID::get<mlir::tf_executor::IslandOp>(),

  std::string description;
  mlir::TypeID type_id;
  std::unique_ptr<TargetHardware> target_hardware;
  std::function<std::unique_ptr<TargetHardware>()> target_hardware_factory;
};

struct RegisteredTargetHardwareOps {
  explicit RegisteredTargetHardwareOps(mlir::TypeID hardware_type)
      : hardware_typeid(hardware_type) {}
  // Key is the Operation TypeID
  llvm::DenseMap<mlir::TypeID, std::unique_ptr<TargetHardwareOperation>>

}

// int returns the signed int at the input point, as an int (not int64).
func (deb *debugger) int() int {
	return int(deb.int64())
}

// typeId returns the type id at the input point.
func (deb *debugger) typeId() typeId {
	return typeId(deb.int64())
}

// string returns the string at the input point.
func (deb *debugger) string() string {
	x := int(deb.uint64())
	b := make([]byte, x)

	}
	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

// 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) {

	}
	return &op
}

var maxIgnoreNestingDepth = 10000

// decIgnoreOpFor returns the decoding op for a field that has no destination.
func (dec *Decoder) decIgnoreOpFor(wireId typeId, inProgress map[typeId]*decOp, depth int) *decOp {
	if depth > maxIgnoreNestingDepth {
		error_(errors.New("invalid nesting depth"))
	}
	// If this type is already in progress, it's a recursive type (e.g. map[string]*T).

connection between an [Encoder] and [Decoder], it is assigned a signed integer type
id. When [Encoder.Encode](v) is called, it makes sure there is an id assigned for
the type of v and all its elements and then it sends the pair (typeid, encoded-v)
where typeid is the type id of the encoded type of v and encoded-v is the gob
encoding of the value v.

To define a type, the encoder chooses an unused, positive type id and sends the

        "The output variant hasn't been initialized");
  }

  if (a.TypeId() != b.TypeId()) {
    return ::tensorflow::errors::Internal(
        "BinaryOpVariants: Variants a and b have different "
        "type ids.  Type names: '",
        a.TypeName(), "' vs. '", b.TypeName(), "'");
  }

  if (a.TypeId() == tensorflow::TypeIndex::Make<::tensorflow::TensorList>()) {

    patterns.add<LowerPackIntoConcatReshape, UnrollSplit, UnrollSplitV,
                  PadSlice>(context);
    return patterns;
  }

  mlir::TypeID GetTypeId() const override {
    return mlir::TypeID::get<FooHardware>();
  }

  // We can specify what ops are not supported here.
  bool IsNotSupportedOp(mlir::Operation* op) const override { return false; }