op_name: Name of the op to match.
      attr_name: Name of the attribute of the op to match.
      attr_val: Value of the attr_name to check.
      node_name: Name of the node to match. Accepts regex2 format.

    Returns:
      True if there exists a node whose name matches `op_name` and 'attr_val' if
      'attr_name' is given.
    """

    def match_node_name(name):
      if not node_name:

      std::vector<std::string> attr_names = {
          TF::kReplicationInfoAttr.str(), "_xla_compile_device_type",
          kEmbeddingPipelining, "_xla_outside_compilation", "device"};
      for (const auto& attr_name : attr_names) {
        if (!global_iter_id_op->hasAttr(attr_name)) continue;
        offset->setAttr(attr_name, global_iter_id_op->getAttr(attr_name));
        new_global_iter_id->setAttr(attr_name,

  return std::nullopt;
}

// Returns true iff the attribute `attr_name` is attached to either the node or
// to it's callee.
static bool GetNodeOrFuncAttr(Node* node, FunctionLibraryDefinition* flib_def,
                              const char* attr_name) {
  bool out = false;
  bool attr_value;
  if (TryGetNodeAttr(node->attrs(), attr_name, &attr_value)) {
    out |= attr_value;
  }

// That will require setting up the tensorflow build with gmock.
#define EXPECT_TF_META(attr_name, expected_list_size, expected_type, \
                       expected_total_size)                          \
  do {                                                               \
    auto m = TF_OperationGetAttrMetadata(oper, attr_name, s_);       \
    EXPECT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);              \

// function, this map (map1) is in {attr_name_1: attr_identifier} format; and in
// the float function, this map (map2) is in {attr_identifier: attr_name_2}
// format. Where, the attribute identifiers should match between two maps,
// attr_name_1 is the name of the of the attribute needs to be set in the
// quantized function, attr_name_2 is the name of the attribute corresponding to

            Stream.of(attrUidNumber, attrGidNumber)
                    .forEach(attrName -> OptionalUtil.ofNullable(attributes.get(attrName)).filter(StringUtil::isNotBlank).ifPresent(s -> {
                        try {
                            DfTypeUtil.toLong(s);
                        } catch (final NumberFormatException e) {
                            consumer.accept(attrName);
                        }
                    }));
        } else {

			a.Link = b.Link
			b.Link = die.Attr
			die.Attr = b
			return b
		}

		a = b
		b = b.Link
	}

	return nil
}

// Every DIE manufactured by the linker has at least an AT_name
// attribute (but it will only be written out if it is listed in the abbrev).
// The compiler does create nameless DWARF DIEs (ex: concrete subprogram
// instance).
// FIXME: it would be more efficient to bulk-allocate DIEs.

	// Scan DWARF info for top-level TagVariable entries with AttrName __cgo__i.
	types := make([]dwarf.Type, len(names))
	r := d.Reader()
	for {
		e, err := r.Next()
		if err != nil {
			fatalf("reading DWARF entry: %s", err)
		}
		if e == nil {
			break
		}
		switch e.Tag {
		case dwarf.TagVariable:
			name, _ := e.Val(dwarf.AttrName).(string)
			// As of https://reviews.llvm.org/D123534, clang