diff --git a/mindspore/lite/src/lite_session.cc b/mindspore/lite/src/lite_session.cc
index 633b284df2..80913a8431 100644
--- a/mindspore/lite/src/lite_session.cc
+++ b/mindspore/lite/src/lite_session.cc
@@ -116,6 +116,33 @@ int LiteSession::ConvertTensorsData(const lite::Model *model, size_t tensor_inde
   return RET_OK;
 }
 
+lite::Tensor *LiteSession::ConvertTensor(const schema::Tensor &src_tensor) {
+  auto src_category = TensorCategory(&src_tensor);
+  std::vector<int> shape;
+  if (src_tensor.dims() == nullptr) {
+    MS_LOG(DEBUG) << "Dims of src_tensor is nullptr";
+  }
+  if (src_tensor.dims() != nullptr && src_category == Tensor::Category::CONST_TENSOR) {
+    if (src_tensor.dataType() == kObjectTypeString && src_tensor.data() != nullptr) {
+      shape.push_back(src_tensor.data()->size());
+    } else {
+      for (size_t j = 0; j < src_tensor.dims()->size(); j++) {
+        shape.push_back(src_tensor.dims()->data()[j]);
+      }
+    }
+  }
+  lite::Tensor *dst_tensor = nullptr;
+  if (TypeId(src_tensor.dataType()) == kObjectTypeTensorType) {
+    dst_tensor = new (std::nothrow) TensorList(shape, std::vector<int>());
+  } else {
+    dst_tensor = new (std::nothrow) Tensor(TypeId(src_tensor.dataType()), shape, src_tensor.format(), src_category);
+  }
+  if (dst_tensor == nullptr) {
+    return nullptr;
+  }
+  return dst_tensor;
+}
+
 int LiteSession::ConvertTensors(const lite::Model *model) {
   MS_ASSERT(model != nullptr);
   copyed_tensor_idxes_.clear();
@@ -126,24 +153,9 @@ int LiteSession::ConvertTensors(const lite::Model *model) {
       MS_LOG(ERROR) << i << "th tensor in model is nullptr";
       return RET_NULL_PTR;
     }
-    auto src_category = TensorCategory(src_tensor);
-    std::vector<int> shape;
-    if (src_tensor->dims() == nullptr) {
-      MS_LOG(DEBUG) << "Dims of " << i << "th tensor is nullptr";
-    }
-    if (src_tensor->dims() != nullptr && src_category == Tensor::Category::CONST_TENSOR) {
-      if (src_tensor->dataType() == kObjectTypeString && src_tensor->data() != nullptr) {
-        shape.push_back(src_tensor->data()->size());
-      } else {
-        for (size_t j = 0; j < src_tensor->dims()->size(); j++) {
-          shape.push_back(src_tensor->dims()->data()[j]);
-        }
-      }
-    }
-    auto *dst_tensor =
-      new (std::nothrow) Tensor(TypeId(src_tensor->dataType()), shape, src_tensor->format(), src_category);
+    auto *dst_tensor = ConvertTensor(*src_tensor);
     if (dst_tensor == nullptr) {
-      MS_LOG(ERROR) << "new " << i << "th tensor failed";
+      MS_LOG(ERROR) << "Convert new " << i << "th tensor failed!";
       return RET_NULL_PTR;
     }
     auto ret = ConvertTensorsData(model, i, src_tensor, dst_tensor);
diff --git a/mindspore/lite/src/lite_session.h b/mindspore/lite/src/lite_session.h
index ab91fcf1f6..55f953d124 100644
--- a/mindspore/lite/src/lite_session.h
+++ b/mindspore/lite/src/lite_session.h
@@ -30,6 +30,7 @@
 #include "schema/model_generated.h"
 #include "src/executor.h"
 #include "src/tensor.h"
+#include "src/tensorlist.h"
 #if SUPPORT_GPU
 #include "src/runtime/opencl/opencl_runtime.h"
 #endif
@@ -71,6 +72,8 @@ class LiteSession : public session::LiteSession {
   int ConvertTensorsData(const lite::Model *model, size_t tensor_index, const schema::Tensor *src_tensor,
                          lite::Tensor *dst_tensor);
 
+  lite::Tensor *ConvertTensor(const schema::Tensor &src_tensor);
+
   int ConvertTensors(const lite::Model *model);
 
   void InitGraphInOutTensors(const lite::Model *model);