std::vector<TfLiteDimensionType> format = {};
  std::vector<int> b_size = {};
  std::vector<int> b_map = {};
  PopulateEncodingParams(block_size, &traversal_order, &format, &b_map,
                         &b_size);

  if (type.getElementType().isF32()) {
    tflite::internal::sparsity::FormatConverter<float> format_converter(
        shape, traversal_order, format, b_size, b_map);
    std::vector<float> data;

  return list.s_size() == 0 && list.i_size() == 0 && list.f_size() == 0 &&
         list.b_size() == 0 && list.type_size() == 0 &&
         list.shape_size() == 0 && list.tensor_size() == 0;
}

string ToCamelCase(StringPiece str) {
  string result;
  const char joiner = '_';
  size_t i = 0;
  bool cap = true;
  while (i < str.size()) {
    const char c = str[i++];
    if (c == '>') {

      }
      // Bool
      if (const int b_size = default_value.list().b_size()) {
        absl::InlinedVector<unsigned char, 4> b_vector;
        b_vector.reserve(b_size);
        for (int i = 0; i < b_size; i++) {
          b_vector.push_back(default_value.list().b(i));
        }
        TFE_OpSetAttrBoolList(op, attr_name, b_vector.data(), b_size);
      }
      // Type

                            JAC_T* max_error) {
  if (xs.size() != x_shapes.size()) {
    return errors::InvalidArgument("xs(size ", xs.size(),
                                   ") and x_shapes(size ", x_shapes.size(),
                                   ") must be the same size.");
  }
  if (ys.size() != y_shapes.size()) {
    return errors::InvalidArgument("ys(size ", ys.size(),

    ```

    If kernel\_size % block\_size != 0, padding is needed for the weight before
    transform, input of Convolution needs to be padded as well.

1.  Rewrite the first convolution

    Need to rewrite the first convolution's shape of input from [batch\_size,
    height, width, 3] to [batch\_size, height // block\_size, width //
    block\_size, 3 \* block\_size \* block\_size] and kernel shape from

// Malloc small size classes.
//
// See malloc.go for overview.
// See also mksizeclasses.go for how we decide what size classes to use.

package runtime

// Returns size of the memory block that mallocgc will allocate if you ask for the size,
// minus any inline space for metadata.
func roundupsize(size uintptr, noscan bool) (reqSize uintptr) {
	reqSize = size
	if reqSize <= maxSmallSize-mallocHeaderSize {

	Gid      uint32
	Rdev     uint64
	Ssize    int32
	Atim     StTimespec_t
	Mtim     StTimespec_t
	Ctim     StTimespec_t
	Blksize  int64
	Blocks   int64
	Vfstype  int32
	Vfs      uint32
	Type     uint32
	Gen      uint32
	Reserved [9]uint32
	Padto_ll uint32
	Size     int64
}

type Statfs_t struct {
	Version   int32
	Type      int32
	Bsize     uint64
	Blocks    uint64
	Bfree     uint64

		runGCDExt(b, aSize, bSize, false)
	})
	b.Run("WithXY", func(b *testing.B) {
		runGCDExt(b, aSize, bSize, true)
	})
}

func runGCDExt(b *testing.B, aSize, bSize uint, calcXY bool) {
	b.StopTimer()
	var r = rand.New(rand.NewSource(1234))
	aa := randInt(r, aSize)
	bb := randInt(r, bSize)
	var x, y *Int
	if calcXY {
		x = new(Int)
		y = new(Int)
	}
	b.StartTimer()
	for i := 0; i < b.N; i++ {

	Nlink    int16
	Flag     uint16
	Uid      uint32
	Gid      uint32
	Rdev     uint64
	Ssize    int32
	Atim     Timespec
	Mtim     Timespec
	Ctim     Timespec
	Blksize  int64
	Blocks   int64
	Vfstype  int32
	Vfs      uint32
	Type     uint32
	Gen      uint32
	Reserved [9]uint32
	Padto_ll uint32
	Size     int64
}

type StatxTimestamp struct{}

type Statx_t struct{}

	s := syscall.Statfs_t{}
	err = syscall.Statfs(path, &s)
	if err != nil {
		return Info{}, err
	}
	reservedBlocks := s.Bfree - s.Bavail
	info = Info{
		Total:  uint64(s.Bsize) * (s.Blocks - reservedBlocks),
		Free:   uint64(s.Bsize) * s.Bavail,
		Files:  s.Files,
		Ffree:  s.Ffree,
		FSType: getFSType(s.Fstypename[:]),
	}
	if info.Free > info.Total {