!8529 fix error when cell construct return list output in pynative mode

From: @chujinjin
Reviewed-by: @kisnwang,@jjfeing
Signed-off-by: @jjfeing

mindspore/ccsrc/pipeline/pynative/pynative_execute.cc

@@ -1415,7 +1415,7 @@ void PynativeExecutor::MakeNewTopGraph(const string &cell_id, const py::args &ar
 
 void PynativeExecutor::set_node_map(const FuncGraphPtr &g, const py::object &node, const AnfNodePtr &cnode,
                                     bool is_param) {
-  if (!py::isinstance<py::tuple>(node)) {
+  if (!py::isinstance<py::tuple>(node) && !py::isinstance<py::list>(node)) {
     return;
   }
   auto tuple = node.cast<py::tuple>();
@@ -1432,7 +1432,7 @@ void PynativeExecutor::set_node_map(const FuncGraphPtr &g, const py::object &nod
 
 void PynativeExecutor::set_tuple_node_map(const FuncGraphPtr &g, const py::object &node, const AnfNodePtr &cnode,
                                           const std::vector<int64_t> &idx, bool is_param) {
-  if (!py::isinstance<py::tuple>(node)) {
+  if (!py::isinstance<py::tuple>(node) && !py::isinstance<py::list>(node)) {
     return;
   }
   auto tuple = node.cast<py::tuple>();
@@ -1461,7 +1461,7 @@ void PynativeExecutor::EndGraphInner(const py::object &cell, const py::object &o
   auto out_id = GetId(out);
   // x =op1, y =op2, return (x, y)
   if (graph_info_map_[curr_g_].node_map.find(out_id) == graph_info_map_[curr_g_].node_map.end()) {
-    if (py::isinstance<py::tuple>(out)) {
+    if (py::isinstance<py::tuple>(out) || py::isinstance<py::list>(out)) {
       auto tuple = out.cast<py::tuple>();
       auto tuple_size = static_cast<int64_t>(tuple.size());
 

mindspore/ccsrc/pipeline/pynative/pynative_execute.h

@@ -117,7 +117,6 @@ class PynativeExecutor : public std::enable_shared_from_this<PynativeExecutor> {
   // replace for grad graph
   ValuePtr CleanTupleAddr(const ValueTuplePtr &tuple);
   ValuePtr GetForwardValue(const OpExecInfoPtr &op_exec_info);
-  void SaveForwardResult(const CNodePtr &cnode, const py::object &out);
   void GenTupleMap(const ValueTuplePtr &tuple, std::map<std::string, tensor::TensorPtr> *t_map);
   void SaveAllResult(const OpExecInfoPtr &op_exec_info, const CNodePtr &cnode, const py::tuple &out);