format_converter.DenseToSparse(data.data());
    sparsity =
        GetSparsity(type.getNumElements() - format_converter.GetData().size(),
                    type.getNumElements());
  } else if (type.getElementType().isF16()) {
    tflite::internal::sparsity::FormatConverter<Eigen::half> format_converter(
        shape, traversal_order, format, b_size, b_map);
    std::vector<Eigen::half> data;
    data.reserve(type.getNumElements());

  switch (elem_type.getIntOrFloatBitWidth()) {
    case 16: {
      assert(bytes_len % 2 == 0);
      // Supports both BF16 and F16.
      assert(elem_type.isF16() || elem_type.isBF16());
      int elem_count = bytes_len / 2;

      if (elem_type.isF16()) {
        std::vector<Eigen::half> values;
        values.reserve(elem_count);

        const char* data = reinterpret_cast<const char*>(buffer.data());

      const ShapedType new_result_type =
          mlir::dyn_cast<ShapedType>(convert_op.getType());

      // Proceeds only if the converting is to float16.
      if (!new_result_type.getElementType().isF16()) continue;

      // Convert values.
      std::vector<Eigen::half> new_values;
      const DenseFPElementsAttr value_attr =
          mlir::cast<DenseFPElementsAttr>(op.getValue());

}

bool IsCompatibleTypeWithTFLCastOp(Type type) {
  auto elemType = getElementTypeOrSelf(type);
  // F16, F32, F64, BF16 types are allowed.
  if (elemType.isBF16() || elemType.isF16() || elemType.isF32() ||
      elemType.isF64())
    return true;

  // I1, I4, I8, I16, I32, I64 types are allowed.
  if (elemType.isInteger(1) || elemType.isInteger(4) || elemType.isInteger(8) ||

          if (mlir::isa<mlir::IntegerType>(element_type)) {
            rand_val = mlir::IntegerAttr::get(element_type, std::rand());
          } else if (element_type.isF16() || element_type.isF32() ||
                     element_type.isF64()) {
            rand_val = mlir::FloatAttr::get(element_type,
                                            std::rand() * 1.0 / RAND_MAX);

  Type elem_type = getElementTypeOrSelf(type);
  // Xla's all_reduce legalizer bitcasts to 32 bits, so only
  // element types size <= 4 bytes are supported.
  if (elem_type.isBF16() || elem_type.isF16() || elem_type.isTF32() ||
      elem_type.isF32()) {
    zero = builder.getFloatAttr(elem_type, 0);
  } else {
    return false;
  }
  if (auto ranked_type = dyn_cast<RankedTensorType>(type)) {

      ShapedType new_result_type =
          mlir::dyn_cast<ShapedType>(cast_op.getType());

      // Proceeds only if the casting is to float16
      if (!new_result_type.getElementType().isF16()) continue;

      // Cast values
      std::vector<Eigen::half> new_values;
      DenseFPElementsAttr value_attr =
          mlir::cast<DenseFPElementsAttr>(op.getValue());

)

// linearMax is the maximum size table for linear search for non-Latin1 rune.
// Derived by running 'go test -calibrate'.
const linearMax = 18

// is16 reports whether r is in the sorted slice of 16-bit ranges.
func is16(ranges []Range16, r uint16) bool {
	if len(ranges) <= linearMax || r <= MaxLatin1 {
		for i := range ranges {
			range_ := &ranges[i]
			if r < range_.Lo {
				return false
			}