diff --git a/mindspore/ccsrc/frontend/optimizer/irpass/special_op_eliminate.h b/mindspore/ccsrc/frontend/optimizer/irpass/special_op_eliminate.h
index 976948864b2..13bde1e30a1 100644
--- a/mindspore/ccsrc/frontend/optimizer/irpass/special_op_eliminate.h
+++ b/mindspore/ccsrc/frontend/optimizer/irpass/special_op_eliminate.h
@@ -255,7 +255,7 @@ class PynativeEliminater : public OptimizerCaller {
     MS_LOG(DEBUG) << "Start FillZero";
     ValuePtr out = nullptr;
     if (value->isa<Int32Imm>()) {
-      return MakeValue(0);
+      return value;
     }
 
     if (value->isa<tensor::Tensor>()) {
diff --git a/mindspore/ccsrc/pipeline/pynative/pynative_execute.cc b/mindspore/ccsrc/pipeline/pynative/pynative_execute.cc
index 93dd17c8db1..a998993574f 100644
--- a/mindspore/ccsrc/pipeline/pynative/pynative_execute.cc
+++ b/mindspore/ccsrc/pipeline/pynative/pynative_execute.cc
@@ -70,7 +70,6 @@ const std::set<std::string> vm_operators = {"make_ref", "HookBackward", "InsertG
 
 namespace mindspore {
 namespace pynative {
-
 static std::shared_ptr<session::SessionBasic> session = nullptr;
 PynativeExecutorPtr PynativeExecutor::executor_ = nullptr;
 std::mutex PynativeExecutor::instance_lock_;
@@ -1213,7 +1212,6 @@ AnfNodePtr PynativeExecutor::GetInput(const py::object &obj, bool op_mask) {
     }
     return graph_info_map_[df_builder_].param_map[obj_id].first;
   }
-
   // if input is graph output
   if (graph_info_map_[curr_g_].param_map.count(obj_id) != 0) {
     // op(x, y)
@@ -1227,20 +1225,16 @@ AnfNodePtr PynativeExecutor::GetInput(const py::object &obj, bool op_mask) {
     // out = op((x, y))
     // out = cell((x, y))
     auto tuple = obj.cast<py::tuple>();
-
     // cell((1,2)): support not mix (scalar, tensor)
     if (!tuple.empty() && !py::isinstance<tensor::Tensor>(tuple[0])) {
       return MakeValueNode(obj, obj_id);
     }
-
     std::vector<AnfNodePtr> args;
     args.push_back(NewValueNode(prim::kPrimMakeTuple));
-
     auto tuple_size = static_cast<int>(tuple.size());
     for (int i = 0; i < tuple_size; i++) {
       args.push_back(GetInput(tuple[i], false));
     }
-
     auto cnode = curr_g_->NewCNode(args);
     set_obj_node_map(curr_g_, GetId(obj), cnode);
     node = cnode;