diff --git a/mindspore/ccsrc/backend/optimizer/pass/convert_tuple_input_to_dynamic_input.cc b/mindspore/ccsrc/backend/optimizer/pass/convert_tuple_input_to_dynamic_input.cc
index 5465c1aa5a..b00eafba04 100644
--- a/mindspore/ccsrc/backend/optimizer/pass/convert_tuple_input_to_dynamic_input.cc
+++ b/mindspore/ccsrc/backend/optimizer/pass/convert_tuple_input_to_dynamic_input.cc
@@ -27,6 +27,34 @@
 namespace mindspore {
 namespace opt {
 namespace {
+int64_t SplitTupleInputs(const FuncGraphPtr &graph, const AnfNodePtr &tuple_input,
+                         std::vector<AnfNodePtr> *plant_inputs) {
+  if (!AnfAlgo::IsTupleOutput(tuple_input)) {
+    auto abs = tuple_input->abstract();
+    MS_LOG(WARNING) << "The Function only split the output type is tuple type but got" << abs->ToString();
+    return -1;
+  }
+  MS_EXCEPTION_IF_NULL(plant_inputs);
+  auto input_size = AnfAlgo::GetOutputTensorNum(tuple_input);
+  if (tuple_input->isa<CNode>() && AnfAlgo::CheckPrimitiveType(tuple_input, prim::kPrimMakeTuple)) {
+    auto make_tuple = tuple_input->cast<CNodePtr>();
+    MS_EXCEPTION_IF_NULL(make_tuple);
+    size_t tuple_input_num = AnfAlgo::GetInputTensorNum(make_tuple);
+    for (size_t j = 0; j < tuple_input_num; ++j) {
+      // using for graph kernel
+      auto dyn_input_node = AnfAlgo::GetInputNode(make_tuple, j);
+      MS_EXCEPTION_IF_NULL(dyn_input_node);
+      plant_inputs->emplace_back(dyn_input_node);
+    }
+    return input_size;
+  }
+  for (size_t index = 0; index < input_size; ++index) {
+    auto dyn_input_node = CreatTupleGetItemNode(graph, tuple_input, index);
+    plant_inputs->emplace_back(dyn_input_node);
+  }
+  return input_size;
+}
+
 void ConvertMakeTupleInputToPlantInputs(const FuncGraphPtr &graph, const CNodePtr &cnode_ptr) {
   MS_EXCEPTION_IF_NULL(cnode_ptr);
   MS_EXCEPTION_IF_NULL(graph);
@@ -41,25 +69,8 @@ void ConvertMakeTupleInputToPlantInputs(const FuncGraphPtr &graph, const CNodePt
   for (size_t i = 0; i < input_num; ++i) {
     auto input_node = AnfAlgo::GetInputNode(cnode_ptr, i);
     MS_EXCEPTION_IF_NULL(input_node);
-    if (input_node->isa<CNode>() && AnfAlgo::CheckPrimitiveType(input_node, prim::kPrimMakeTuple)) {
-      auto input_size = AnfAlgo::GetOutputTensorNum(input_node);
-      dyn_input_sizes.push_back(input_size);
-      auto make_tuple = input_node->cast<CNodePtr>();
-      MS_EXCEPTION_IF_NULL(make_tuple);
-      size_t tuple_input_num = AnfAlgo::GetInputTensorNum(make_tuple);
-      for (size_t j = 0; j < tuple_input_num; ++j) {
-        auto dyn_input_node = AnfAlgo::GetInputNode(make_tuple, j);
-        MS_EXCEPTION_IF_NULL(dyn_input_node);
-        if (IsValueNode<tensor::Tensor>(dyn_input_node)) {
-          auto kernel_graph = graph->cast<KernelGraphPtr>();
-          MS_EXCEPTION_IF_NULL(kernel_graph);
-          auto success = kernel_graph->NewValueNode(dyn_input_node->cast<ValueNodePtr>());
-          if (!success) {
-            MS_LOG(WARNING) << "Make value node failed, " << dyn_input_node->DebugString();
-          }
-        }
-        plant_inputs.push_back(dyn_input_node);
-      }
+    if (AnfAlgo::IsTupleOutput(input_node)) {
+      dyn_input_sizes.emplace_back(SplitTupleInputs(graph, input_node, &plant_inputs));
     } else {
       dyn_input_sizes.push_back(-1);
       plant_inputs.push_back(input_node);
diff --git a/mindspore/ccsrc/backend/session/anf_runtime_algorithm.cc b/mindspore/ccsrc/backend/session/anf_runtime_algorithm.cc
index f8efe4072f..2e1d274179 100644
--- a/mindspore/ccsrc/backend/session/anf_runtime_algorithm.cc
+++ b/mindspore/ccsrc/backend/session/anf_runtime_algorithm.cc
@@ -1156,6 +1156,9 @@ uint32_t AnfRuntimeAlgorithm::GetGraphId(const AnfNode *node) {
 bool AnfRuntimeAlgorithm::IsTupleOutput(const AnfNodePtr &anf) {
   MS_EXCEPTION_IF_NULL(anf);
   TypePtr type = anf->Type();
+  if (type == nullptr) {
+    return false;
+  }
   MS_EXCEPTION_IF_NULL(type);
   return type->isa<Tuple>();
 }