case tensorflow::AttrValue::kList: {
      // String
      if (const int s_size = default_value.list().s_size()) {
        absl::InlinedVector<const void*, 4> values_vector;
        values_vector.reserve(s_size);
        absl::InlinedVector<size_t, 4> lengths_vector;
        lengths_vector.reserve(s_size);
        for (int i = 0; i < s_size; ++i) {
          const string& v = default_value.list().s(i);

  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 == '>') {

      return std::to_string(attr_value.f());
    case AttrValue::kB:
      return attr_value.b() ? "true" : "false";
    case AttrValue::kList:
      if (attr_.full_type() == "list(string)" &&
          attr_value.list().s_size() == 0) {
        return "{}";
      }
      LOG(WARNING) << "Unimplemented: default value of list-typed attribute.";
      return "/* UNIMPLEMENTED */";
    case AttrValue::kShape:
    case AttrValue::kTensor:

  if (attr->list().field##_size() > 0) {      \
    *list_size = attr->list().field##_size(); \
    __VA_ARGS__;                              \
    break;                                    \
  }

      LIST_CASE(
          s, TF_ATTR_STRING, *total_size = 0;
          for (int i = 0; i < attr->list().s_size();
               ++i) { *total_size += attr->list().s(i).size(); });
      LIST_CASE(i, TF_ATTR_INT);

  DCHECK(tf_results->missing_unused_key_names_data.empty());

  size_t size = results.missing_unused_input_map_keys.size();
  tf_results->missing_unused_key_names.resize(size);
  tf_results->missing_unused_key_indexes.resize(size);

  for (int i = 0; i < size; ++i) {
    TensorId id = results.missing_unused_input_map_keys[i];
    tf_results->missing_unused_key_names_data.emplace_back(id.first);
    tf_results->missing_unused_key_names[i] =

                            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(),

	sem_type  uint16
	sem_magic uint16
	sem_pad1  [3]uint64
	sem_pad2  [2]uint64
}

type sigset struct {
	__sigbits [4]uint32
}

type stackt struct {
	ss_sp     *byte
	ss_size   uintptr
	ss_flags  int32
	pad_cgo_0 [4]byte
}

type siginfo struct {
	si_signo int32
	si_code  int32
	si_errno int32
	si_pad   int32
	__data   [240]byte
}

                          << ") != terminator operands ("
                          << term->getNumOperands() << ")";
    return {};
  }
  // Verify number of tensors for inputs and outputs matches size
  // of the list in the signature def.
  if (input_names.size() != sig_def_inputs.size() ||
      output_names.size() != sig_def_outputs.size()) {
    main_op.emitWarning(

// 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 {

	mhsz := uint64(unsafe.Sizeof(coverage.MetaFileHeader{}))
	stSize := m.stab.Size()
	stOffset := mhsz + uint64(16*len(blobs))
	preambleLength := stOffset + uint64(stSize)

	if m.debug {
		fmt.Fprintf(os.Stderr, "=+= sizeof(MetaFileHeader)=%d\n", mhsz)
		fmt.Fprintf(os.Stderr, "=+= preambleLength=%d stSize=%d\n", preambleLength, stSize)
	}

	// Compute total size
	tlen := preambleLength
	for i := 0; i < len(blobs); i++ {