diff --git a/mindspore-lite/src/litert/lite_session.cc b/mindspore-lite/src/litert/lite_session.cc
index cf47bb98e81372e28fca5ca8e11ea74922417dc5..a35d022e74bc319f3c7a900675ea214e4e3055f8 100644
--- a/mindspore-lite/src/litert/lite_session.cc
+++ b/mindspore-lite/src/litert/lite_session.cc
@@ -1457,51 +1457,60 @@ int LiteSession::Resize(const std::vector<mindspore::lite::Tensor *> &inputs,
     MS_LOG(ERROR) << "Not support multi-threading";
     return RET_ERROR;
   }
-  std::vector<std::vector<int>> old_dims;
-  for (size_t i = 0; i < inputs_.size(); ++i) {
-    old_dims.push_back(inputs_[i]->shape());
-  }
-  auto ret = ResizeInputs(inputs, dims);
-  if (ret != RET_OK) {
-    ResetInputsShape(old_dims);
-    is_running_.store(false);
-    return ret;
-  }
-  ret = UpdateInputShapeMap();
-  if (ret != RET_OK) {
-    MS_LOG(ERROR) << "update input shape map failed.";
-    return RET_ERROR;
-  }
-  if (infer_along_running_) {
-    is_running_.store(false);
-    return ret;
-  }
-
-  ret = ReSizeKernels(kernels_, isolate_input_map_);
-  if (ret != RET_OK) {
-    ResetInputsShape(old_dims);
-    auto resize_ret = ReSizeKernels(kernels_);
-    if (resize_ret != RET_OK) {
-      MS_LOG(ERROR) << "restore kernel size fail!ret: " << resize_ret;
+  for (size_t i = 0; i < dims.size(); i++) {
+    auto model_input_rank = inputs[i]->ConvertToTensorC()->shape_size_;
+    if (dims[i].size() != model_input_rank && model_input_rank != 0) {
+      MS_LOG(ERROR) << "Tensor " << i << "'s rank: " << dims[i].size() << " must match the rank: " << model_input_rank
+                    << " of model input " << i;
+      return RET_ERROR;
     }
-    is_running_.store(false);
-    return ret;
-  }
-
-  if (InitRuntimeAllocator() != RET_OK) {
-    MS_LOG(ERROR) << "Runtime allocator in resize failed.";
-    is_running_.store(false);
-    return RET_ERROR;
   }
+}
+std::vector<std::vector<int>> old_dims;
+for (size_t i = 0; i < inputs_.size(); ++i) {
+  old_dims.push_back(inputs_[i]->shape());
+}
+auto ret = ResizeInputs(inputs, dims);
+if (ret != RET_OK) {
+  ResetInputsShape(old_dims);
+  is_running_.store(false);
+  return ret;
+}
+ret = UpdateInputShapeMap();
+if (ret != RET_OK) {
+  MS_LOG(ERROR) << "update input shape map failed.";
+  return RET_ERROR;
+}
+if (infer_along_running_) {
+  is_running_.store(false);
+  return ret;
+}
 
-  auto status = GraphOptimizePass(&kernels_);
-  if (status != RET_OK) {
-    MS_LOG(ERROR) << "GraphOptimizePass failed.";
-    return RET_ERROR;
+ret = ReSizeKernels(kernels_, isolate_input_map_);
+if (ret != RET_OK) {
+  ResetInputsShape(old_dims);
+  auto resize_ret = ReSizeKernels(kernels_);
+  if (resize_ret != RET_OK) {
+    MS_LOG(ERROR) << "restore kernel size fail!ret: " << resize_ret;
   }
+  is_running_.store(false);
+  return ret;
+}
 
+if (InitRuntimeAllocator() != RET_OK) {
+  MS_LOG(ERROR) << "Runtime allocator in resize failed.";
   is_running_.store(false);
-  return RET_OK;
+  return RET_ERROR;
+}
+
+auto status = GraphOptimizePass(&kernels_);
+if (status != RET_OK) {
+  MS_LOG(ERROR) << "GraphOptimizePass failed.";
+  return RET_ERROR;
+}
+
+is_running_.store(false);
+return RET_OK;
 }
 
 int LiteSession::PreCheck(Model *model) {