const T19 v19_;
  const T20 v20_;
};

template <typename T1, typename T2, typename T3, typename T4, typename T5,
    typename T6, typename T7, typename T8, typename T9, typename T10,
    typename T11, typename T12, typename T13, typename T14, typename T15,
    typename T16, typename T17, typename T18, typename T19, typename T20,
    typename T21>
class ValueArray21 {
 public:

    typename T11, typename T12, typename T13, typename T14>
struct Types14 {
  typedef T1 Head;
  typedef Types13<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Tail;
};

template <typename T1, typename T2, typename T3, typename T4, typename T5,
    typename T6, typename T7, typename T8, typename T9, typename T10,
    typename T11, typename T12, typename T13, typename T14, typename T15>
struct Types15 {

  };
};

// Appends all elements in `range` to `values`.
template <typename ValueT, typename Range>
void Append(llvm::SmallVectorImpl<ValueT>& values, Range&& range) {
  values.insert(values.end(), range.begin(), range.end());
}

// Appends all elements in `range` to `values`.
template <typename ValueT, typename Range, typename... RangeTs>
void Append(llvm::SmallVectorImpl<ValueT>& values, Range&& range,

//===----------------------------------------------------------------------===//
// BatchMatMulV2Op & BatchMatMulOp
//===----------------------------------------------------------------------===//

template <typename OpT,
          typename std::enable_if<llvm::is_one_of<
              OpT, BatchMatMulOp, BatchMatMulV2Op>::value>::type* = nullptr>
static LogicalResult Verify(OpT op) {
  if (!HasRankAtLeast(op.getX(), 2)) {

    return f.isExactlyValue(value);
  });
}

// Returns true if `value` is compile-time constant and its splat value equals
// to `raw_value`.
template <typename T>
bool IsConstantValueOf(mlir::TypedAttr value, T raw_value) {
  auto element_type = mlir::cast<ShapedType>(value.getType()).getElementType();

  if (mlir::isa<FloatType>(element_type)) {

// mlir::FloatAttr.
template <typename FloatOrIntAtrr>
DenseElementsAttr BuildConstRangeTensor(Type result_elem_type, int num_elements,
                                        FloatOrIntAtrr start_attr,
                                        FloatOrIntAtrr delta_attr) {
  using ValueType = typename FloatOrIntAtrr::ValueType;  // APInt or APFloat
  ValueType start = start_attr.getValue();

// mlir::FloatAttr.
template <typename FloatOrIntAtrr>
DenseElementsAttr BuildConstRangeTensor(Type result_elem_type, int num_elements,
                                        FloatOrIntAtrr start_attr,
                                        FloatOrIntAtrr delta_attr) {
  using ValueType = typename FloatOrIntAtrr::ValueType;  // APInt or APFloat
  ValueType start = start_attr.getValue();

using tensorflow::OpOrArgLocNameMapper;
using tensorflow::OpOrArgNameMapper;
using tensorflow::Status;
using tflite::flex::IsAllowlistedFlexOp;

template <typename T>
using BufferOffset = flatbuffers::Offset<T>;

template <typename T>
using VectorBufferOffset = flatbuffers::Offset<flatbuffers::Vector<T>>;

using CustomOptionsOffset = VectorBufferOffset<uint8_t>;

namespace tfl = mlir::TFL;

to those values. A type may be denoted by a <i>type name</i>, if it has one,
or specified using a <i>type literal</i>, which composes a type from existing types.
</p>

<pre class="ebnf">
Type      = TypeName | TypeLit | "(" Type ")" .
TypeName  = identifier | QualifiedIdent .
TypeLit   = ArrayType | StructType | PointerType | FunctionType | InterfaceType |
	    SliceType | MapType | ChannelType .
</pre>

<p>

// lambda with explicit template parameters.
type TypeTemplateParam struct {
	Name AST
}

func (ttp *TypeTemplateParam) print(ps *printState) {
	ps.writeString("typename ")
	ps.printInner(false)
	ps.print(ttp.Name)
}

func (ttp *TypeTemplateParam) Traverse(fn func(AST) bool) {
	if fn(ttp) {
		ttp.Name.Traverse(fn)
	}
}