TensorShapeProto shape_proto;
        context->ShapeHandleToProto(handle, &shape_proto);
        if (!shape_proto.unknown_rank()) {
          NodeDef const_def;
          const_def.set_op("Const");
          Node* var_node;
          TF_RETURN_IF_ERROR(n->input_node(0, &var_node));
          const_def.set_name(
              graph->NewName(absl::StrCat("var_shape_", var_node->name())));

      attr->contains("DstT") &&
      attr->at("SrcT").type() == attr->at("DstT").type() &&
      attr->contains("Truncate") && !attr->at("Truncate").b()) {
    node_def->set_op("Identity");
    attr->insert({{"T", attr->at("SrcT")}});
    attr->erase("SrcT");
    attr->erase("DstT");
    attr->erase("Truncate");
  }
}

}  // namespace

Status GetAttrValuesFromOperation(

  props.set_name(std::move(name));
  return props;
}

// Matches a node with op `op`.
impl::NodeMatcherProperties Op(string op) {
  impl::NodeMatcherProperties props;
  props.set_op(std::move(op));
  return props;
}

// Matches a node with assigned device `assigned_device`.
impl::NodeMatcherProperties AssignedDevice(string assigned_device) {
  impl::NodeMatcherProperties props;

  node_def->set_op(FunctionLibraryDefinition::kRetOp);
  DataType dtype;
  TF_RETURN_IF_ERROR(ConvertToDataType(
      mlir::cast<mlir::TensorType>(operand.getType()).getElementType(),
      &dtype));
  AttrValue type_attr;
  type_attr.set_type(dtype);
  (*node_def->mutable_attr())["T"] = type_attr;
  AttrValue index_attr;
  index_attr.set_i(index);

  node_def->set_op(FunctionLibraryDefinition::kRetOp);
  DataType dtype;
  TF_RETURN_IF_ERROR(ConvertToDataType(
      mlir::cast<mlir::TensorType>(operand.getType()).getElementType(),
      &dtype));
  AttrValue type_attr;
  type_attr.set_type(dtype);
  (*node_def->mutable_attr())["T"] = type_attr;
  AttrValue index_attr;
  index_attr.set_i(index);

    const absl::flat_hash_map<absl::string_view, int>& histogram) {
  for (const auto& pair : histogram) {
    XlaAutoClusteringSummary::OpAndCount* new_entry = result->Add();
    new_entry->set_op(std::string(pair.first));
    new_entry->set_count(pair.second);
  }

  absl::c_sort(*result, [](const XlaAutoClusteringSummary::OpAndCount& a,
                           const XlaAutoClusteringSummary::OpAndCount& b) {

  const int num_inputs = input_shapes->num_items;
  NodeDef node_def;
  tensorflow::ImmediateExecutionOperation* op = tensorflow::unwrap(tfe_op);
  node_def.set_name(op->Name());
  node_def.set_op(op->Name());
  for (int i = 0; i < num_inputs; ++i) {
    node_def.add_input("dummy_input");
  }
  OperationFromInterface(op)->Attrs().FillAttrValueMap(node_def.mutable_attr());

	{1135, "", ""},
	{1136, "EDC8136I", "File is not a STREAM."},
	{1137, "EDC8137I", "STREAMS ioctl() timeout."},
	{1138, "EDC8138I", "No STREAMS resources."},
	{1139, "EDC8139I", "The message identified by set_id and msg_id is not in the message catalog."},
	{1140, "EDC8140I", "Bad message."},
	{1141, "EDC8141I", "Identifier removed."},
	{1142, "", ""},
	{1143, "", ""},
	{1144, "EDC8144I", "The link has been severed."},