diff --git a/ge/graph/passes/multi_batch_clone_pass.cc b/ge/graph/passes/multi_batch_clone_pass.cc
index 872f94fb..ed654d4f 100755
--- a/ge/graph/passes/multi_batch_clone_pass.cc
+++ b/ge/graph/passes/multi_batch_clone_pass.cc
@@ -478,8 +478,30 @@ Status MultiBatchClonePass::SetMaxShapeToData(const NodePtr &data) {
   if (std::all_of(dims.begin(), dims.end(), [](int64_t val) { return val >= 0; })) {
     return SUCCESS;
   }
-
   (void)AttrUtils::SetListInt(data->GetOpDesc(), ATTR_MBATCH_ORIGIN_INPUT_DIMS, data_shape.GetDims());
+
+  GeTensorDesc tensor(NodeUtils::GetOutputDesc(*data, kDataOutIndex));
+  std::vector<std::string> input_dims_str;
+  for (size_t i = 0; i < batch_shapes_.size(); ++i) {
+    auto shape = data_shape;
+    auto ret = CalcShape(data_to_dynamic_info_.at(data_name).at(i), shape);
+    if (ret != SUCCESS) {
+      GELOGE(ret, "Failed to calculate the batched shape for data node %s, the shapes may not match",
+			 data->GetName().c_str());
+      return ret;
+    }
+    tensor.SetShape(shape);
+    string input_str;
+    int64_t tensor_size = 0;
+	(void)TensorUtils::GetTensorSizeInBytes(tensor, tensor_size);
+    input_str = TypeUtils::FormatToSerialString(tensor.GetFormat()) + ":" +
+				TypeUtils::DataTypeToSerialString(tensor.GetDataType()) + ":" + data->GetName() + ":" +
+			    std::to_string(tensor_size) + ":" + std::to_string(tensor.GetShape().GetDimNum()) + ":" +
+			    formats::JoinToString(tensor.GetShape().GetDims());
+    input_dims_str.emplace_back(input_str);
+  }
+  (void)AttrUtils::SetListStr(data->GetOpDesc(), "_all_origin_gears_inputs", input_dims_str);
+
   size_t max_shape_index = 0;
   int64_t max_size = 0;
   for (size_t i = 0; i < batch_shapes_.size(); ++i) {