diff --git a/mindspore/ccsrc/vm/backend.cc b/mindspore/ccsrc/vm/backend.cc
index b94c275596..f9fc225b3f 100644
--- a/mindspore/ccsrc/vm/backend.cc
+++ b/mindspore/ccsrc/vm/backend.cc
@@ -91,37 +91,48 @@ VectorRef MsBackend::MsSimuRunGraph(const GraphId &g, const VectorRef &args) {
   return VectorRef(outputs);
 }
 
+namespace {
+void PushInputTensor(const BaseRef &arg, std::vector<tensor::TensorPtr> *inputs) {
+  MS_EXCEPTION_IF_NULL(inputs);
+  if (utils::isa<tensor::TensorPtr>(arg)) {
+    auto value = utils::cast<tensor::TensorPtr>(arg);
+    inputs->push_back(value);
+  } else if (utils::isa<ValuePtr>(arg)) {
+    auto value = utils::cast<ValuePtr>(arg);
+    MS_EXCEPTION_IF_NULL(value);
+    if (value->isa<ValueTuple>()) {
+      auto value_tuple = value->cast<ValueTuplePtr>();
+      MS_EXCEPTION_IF_NULL(value_tuple);
+      auto tuple_value = value_tuple->value();
+      for (const auto &v : tuple_value) {
+        PushInputTensor(v, inputs);
+      }
+    } else if (value->isa<Scalar>()) {
+      tensor::TensorPtr scalar_tensor = ScalarToTensor(value->cast<ScalarPtr>());
+      inputs->push_back(scalar_tensor);
+    } else {
+      inputs->push_back(value->cast<tensor::TensorPtr>());
+    }
+  } else if (utils::isa<PyObjectRef>(arg)) {
+    auto value = utils::cast<PyObjectRef>(arg).object_;
+    inputs->push_back(py::cast<tensor::TensorPtr>(value));
+  } else if (utils::isa<VectorRefPtr>(arg)) {
+    const auto &args_new = utils::cast<VectorRef>(arg);
+    for (const auto &v : args_new) {
+      PushInputTensor(v, inputs);
+    }
+  } else {
+    MS_LOG(WARNING) << "Invalid input type.";
+  }
+}
+}  // namespace
+
 VectorRef MsBackend::MsRunGraph(const GraphId &g, const VectorRef &args, const std::string &target) {
   MS_LOG(DEBUG) << "start ms graph run:" << args.size() << ", g:" << g;
   // Run graph
   std::vector<tensor::TensorPtr> inputs;
   for (const auto &arg : args) {
-    if (utils::isa<tensor::TensorPtr>(arg)) {
-      auto value = utils::cast<tensor::TensorPtr>(arg);
-      inputs.push_back(value);
-    } else if (utils::isa<ValuePtr>(arg)) {
-      auto value = utils::cast<ValuePtr>(arg);
-      if (value->isa<ValueTuple>()) {
-        (void)std::transform(value->cast<ValueTuplePtr>()->value().begin(), value->cast<ValueTuplePtr>()->value().end(),
-                             std::back_inserter(inputs),
-                             [](const ValuePtr &v) { return v->cast<tensor::TensorPtr>(); });
-      } else if (value->isa<Scalar>()) {
-        tensor::TensorPtr scalar_tensor = ScalarToTensor(value->cast<ScalarPtr>());
-        MS_EXCEPTION_IF_NULL(scalar_tensor);
-        inputs.push_back(scalar_tensor);
-      } else {
-        inputs.push_back(value->cast<tensor::TensorPtr>());
-      }
-    } else if (utils::isa<PyObjectRef>(arg)) {
-      auto value = utils::cast<PyObjectRef>(arg).object_;
-      inputs.push_back(py::cast<tensor::TensorPtr>(value));
-    } else if (utils::isa<VectorRefPtr>(arg)) {
-      auto args_new = utils::cast<VectorRef>(arg);
-      (void)std::transform(args_new.begin(), args_new.end(), std::back_inserter(inputs),
-                           [](const BaseRef &v) { return utils::cast<tensor::TensorPtr>(v); });
-    } else {
-      MS_LOG(WARNING) << "Invalid input type.";
-    }
+    PushInputTensor(arg, &inputs);
   }
 
   VectorRef outputs;