NodeDef* node_def) {
  const NameAttrList* name_attr;
  TF_RETURN_IF_ERROR(GetNodeAttr(node.attrs(), attr_name, &name_attr));
  node_def->set_op(name_attr->name());
  *(node_def->mutable_attr()) = name_attr->attr();
  return absl::OkStatus();
}

absl::StatusOr<std::vector<NodeDef>> MakeCallNodesFromAttribute(
    const Node& node, absl::string_view attr_name,

	movbp := pushbp.Link
	if movbp == nil {
		ctxt.Diag("missing frame pointer instruction: MOVQ SP, BP")
		return
	}
	if !(movbp.As == AMOVQ && movbp.From.Type == obj.TYPE_REG && movbp.From.Reg == REG_SP &&
		movbp.To.Type == obj.TYPE_REG && movbp.To.Reg == REG_BP && movbp.From.Offset == 0) {
		ctxt.Diag("unexpected frame pointer instruction\n%v", movbp)
		return
	}
	if movbp.Link.Pc > math.MaxUint8 {

	REG_F29
	REG_F30
	REG_F31

	// This marks the end of the register numbering.
	REG_END

	// General registers reassigned to ABI names.
	REG_ZERO = REG_X0
	REG_RA   = REG_X1 // aka REG_LR
	REG_SP   = REG_X2
	REG_GP   = REG_X3 // aka REG_SB
	REG_TP   = REG_X4
	REG_T0   = REG_X5
	REG_T1   = REG_X6
	REG_T2   = REG_X7
	REG_S0   = REG_X8
	REG_S1   = REG_X9
	REG_A0   = REG_X10
	REG_A1   = REG_X11

      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(

        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())));

          if (TF::TensorListSetItemOp set_op =
                  llvm::dyn_cast<TF::TensorListSetItemOp>(use.getOwner())) {
            element_shape = rewriter.create<TF::ShapeOp>(
                op.getLoc(),
                tensorflow::GetTypeFromTFTensorShape({-1}, shape_dtype),
                set_op.getItem());
            element_shape_acquired = true;

  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);

  return flib_def;
}

Node* MakeCall(Graph* graph, const string& callee_name, const string& node_name,
               Status* status) {
  NodeDef call_node;
  call_node.set_name(node_name);
  call_node.set_op(callee_name);
  return graph->AddNode(call_node, status);
}

TEST(ResourceOperationSafetyAnalysisTest, CallRead) {
  Scope root = Scope::NewRootScope().ExitOnError();

  FunctionDefLibrary flib_def =