change switchn to case and add ut

ge/graph/load/new_model_manager/davinci_model.cc

@@ -87,6 +87,7 @@ const uint32_t kDumpL1FusionOpMByteSize = 2097152;   // 2 * 1024 * 1024
 const uint32_t kDumpFlagOfL1Fusion = 0;
 const char *const kDefaultBatchLable = "Batch_default";
 const char *const kGetDynamicDimsName = "ascend_mbatch_get_dynamic_dims_node";
+const char *const kMultiBatchNodePostfix = "_ascend_mbatch_batch_";
 const int32_t kInvalidStream = -1;
 const uint32_t kEndOfSequence = 0x0704000a;
 const uint32_t kEndOfSequenceNew = 507005;
@@ -867,6 +868,10 @@ Status DavinciModel::InitNodes(const ComputeGraphPtr &compute_graph) {
         GELOGE(PARAM_INVALID, "NetOutput init failed, Name: %s", op_desc->GetName().c_str());
         return PARAM_INVALID;
       }
+      if (InitRealSizeAndShapeInfo(compute_graph, node) != SUCCESS) {
+        GELOGE(PARAM_INVALID, "Init real size and shape failed, Name: %s", op_desc->GetName().c_str());
+        return PARAM_INVALID;
+      }
       continue;
     }
 
@@ -1143,16 +1148,24 @@ Status DavinciModel::InitNetOutput(const ComputeGraphPtr &graph, const NodePtr &
       real_virtual_addrs_.insert(real_addr);
     }
   }
+  return SUCCESS;
+}
 
+Status DavinciModel::InitRealSizeAndShapeInfo(const ComputeGraphPtr &compute_graph, const NodePtr &node) {
+  if (node->GetName().find(kMultiBatchNodePostfix) != string::npos) {
+    GELOGD("No need to get size and shape of netoutput in subgraph.");
+    return SUCCESS;
+  }
+  GELOGD("Start init real size and shape info of %s.", node->GetName().c_str());
   GetAllGearsInfo(node);
   if (is_getnext_sink_dynamic_) {
     GE_IF_BOOL_EXEC(GetGetDynamicDimsNodeInfo(node) != SUCCESS,
                     GELOGE(PARAM_INVALID, "Failed to get info of getdynamicdims node."); return PARAM_INVALID;);
   }
   if (is_online_infer_dynamic_) {
-    GE_IF_BOOL_EXEC(GetGearAndRealOutSizeInfo(input_count, node) != SUCCESS,
+    GE_IF_BOOL_EXEC(GetGearAndRealOutSizeInfo(compute_graph, node) != SUCCESS,
                     GELOGE(PARAM_INVALID, "Failed to get gear and real out size info."); return PARAM_INVALID;);
-    GE_IF_BOOL_EXEC(GetGearAndRealOutShapeInfo(input_count, op_desc) != SUCCESS,
+    GE_IF_BOOL_EXEC(GetGearAndRealOutShapeInfo(compute_graph, node) != SUCCESS,
                     GELOGE(PARAM_INVALID, "Failed to get gear and real out shape info."); return PARAM_INVALID;);
   }
 
@@ -1171,7 +1184,7 @@ void DavinciModel::GetAllGearsInfo(const NodePtr &node) {
       if (shape_str.empty()) {
         continue;
       }
-      std::vector<int64_t> gear_info;
+      std::vector<int32_t> gear_info;
       std::vector<std::string> dims = ge::StringUtils::Split(shape_str, ',');
       for (const auto &dim : dims) {
         if (dim.empty()) {
@@ -1187,6 +1200,7 @@ void DavinciModel::GetAllGearsInfo(const NodePtr &node) {
     }
   }
 }
+
 Status DavinciModel::GetGetDynamicDimsNodeInfo(const NodePtr &node) {
   GE_CHECK_NOTNULL(node->GetOpDesc());
   size_t input_count = node->GetAllInDataAnchors().size();
@@ -1224,11 +1238,11 @@ Status DavinciModel::GetGetDynamicDimsNodeInfo(const NodePtr &node) {
   return SUCCESS;
 }
 
-Status DavinciModel::GetGearAndRealOutSizeInfo(size_t input_count, const NodePtr &node) {
-  GELOGD("Start get gear and real output size info of %s, input count is %zu.", node->GetName().c_str(), input_count);
+Status DavinciModel::GetGearAndRealOutSizeInfo(const ComputeGraphPtr &graph, const NodePtr &node) {
+  GELOGD("Start get gear and real output size info of %s.", node->GetName().c_str());
   merge_nodes_gear_and_real_out_size_info_.clear();
-  for (size_t idx = 0; idx < input_count; ++idx) {
-    auto in_anchor = node->GetAllInDataAnchors().at(idx);
+  size_t idx = 0;
+  for (const auto &in_anchor : node->GetAllInDataAnchors()) {
     auto peer_out_anchor = in_anchor->GetPeerOutAnchor();
     if (peer_out_anchor == nullptr) {
       continue;
@@ -1236,89 +1250,106 @@ Status DavinciModel::GetGearAndRealOutSizeInfo(size_t input_count, const NodePtr
     auto peer_node = peer_out_anchor->GetOwnerNode();
     auto op_desc = peer_node->GetOpDesc();
     GE_CHECK_NOTNULL(op_desc);
-    if ((peer_node->GetType() == MERGE) && (op_desc->HasAttr(ATTR_INSERT_BY_MBATCH))) {
-      if (GetRealOutputSizeOfMerge(idx, peer_node) != SUCCESS) {
+    if ((peer_node->GetType() == CASE) && (op_desc->HasAttr(ATTR_INSERT_BY_MBATCH))) {
+      if (GetRealOutputSizeOfCase(graph, idx, peer_node) != SUCCESS) {
         GELOGE(PARAM_INVALID, "Get real output size of %s failed.", peer_node->GetName().c_str());
         return PARAM_INVALID;
       }
     }
+    idx++;
   }
   return SUCCESS;
 }
 
-Status DavinciModel::GetRealOutputSizeOfMerge(size_t input_index, const NodePtr &merge_node) {
-  GELOGD("Start get output size of %s, which is %zu input to netoutput.", merge_node->GetName().c_str(), input_index);
-  std::map<vector<int64_t>, int64_t> gear_and_real_out_size_info;
-  for (auto &in_anchor : merge_node->GetAllInDataAnchors()) {
-    auto peer_out_anchor = in_anchor->GetPeerOutAnchor();
-    if (peer_out_anchor == nullptr) {
-      continue;
-    }
-    auto in_node = peer_out_anchor->GetOwnerNode();
-    GELOGD("Input node of merge is %s.", in_node->GetName().c_str());
-    auto op_desc = in_node->GetOpDesc();
-    GE_CHECK_NOTNULL(op_desc);
-    string batch_label;
-    if (AttrUtils::GetStr(op_desc, ATTR_NAME_BATCH_LABEL, batch_label)) {
-      size_t batch_index = static_cast<size_t>(stoi(batch_label.substr(batch_label.rfind('_') + 1)));
-      GELOGD("Batch index of %s is %zu.", op_desc->GetName().c_str(), batch_index);
-      if (batch_index > all_gears_info_.size()) {
-        GELOGE(PARAM_INVALID, "The value of ATTR_NAME_BATCH_LABEL is invalid.");
-        return PARAM_INVALID;
-      }
-
-      const vector<int64_t> output_size_list = ModelUtils::GetOutputSize(op_desc);
-      int output_index = ge::AnchorUtils::GetIdx(peer_out_anchor);
-      auto tensor_desc = op_desc->GetOutputDescPtr(output_index);
-      GE_CHECK_NOTNULL(tensor_desc);
-      int64_t data_size = 0;
-      if (TensorUtils::GetTensorSizeInBytes(*tensor_desc, data_size) != GRAPH_SUCCESS) {
-        GELOGE(FAILED, "Get tensor size in bytes failed.");
-        return FAILED;
+Status DavinciModel::GetRealOutputSizeOfCase(const ComputeGraphPtr &graph, size_t input_index,
+                                             const NodePtr &case_node) {
+  GELOGD("Start get output size of %s, which is %zu input to netoutput.", case_node->GetName().c_str(), input_index);
+  const auto &func_desc = case_node->GetOpDesc();
+  GE_CHECK_NOTNULL(func_desc);
+  std::map<vector<int32_t>, int64_t> gear_and_real_out_size_info;
+  for (const auto &name : func_desc->GetSubgraphInstanceNames()) {
+    const auto &subgraph = graph->GetSubgraph(name);
+    if (subgraph == nullptr) {
+      GELOGE(GE_GRAPH_EMPTY_SUBGRAPH, "Subgraph not found, name: %s.", name.c_str());
+      return GE_GRAPH_EMPTY_SUBGRAPH;
+    }
+    for (auto &node : subgraph->GetDirectNode()) {
+      if (node->GetType() == NETOUTPUT) {
+        auto op_desc = node->GetOpDesc();
+        GE_CHECK_NOTNULL(op_desc);
+        string batch_label;
+        if (AttrUtils::GetStr(op_desc, ATTR_NAME_BATCH_LABEL, batch_label)) {
+          size_t batch_index = static_cast<size_t>(stoi(batch_label.substr(batch_label.rfind('_') + 1)));
+          GELOGD("Batch index of %s is %zu.", op_desc->GetName().c_str(), batch_index);
+          if (batch_index > all_gears_info_.size()) {
+            GELOGE(PARAM_INVALID, "The value of ATTR_NAME_BATCH_LABEL is invalid.");
+            return PARAM_INVALID;
+          }
+
+          const vector<int64_t> input_size_list = ModelUtils::GetInputSize(op_desc);
+          auto tensor_desc = op_desc->GetInputDescPtr(input_index);
+          GE_CHECK_NOTNULL(tensor_desc);
+          int64_t data_size = 0;
+          if (TensorUtils::GetTensorSizeInBytes(*tensor_desc, data_size) != GRAPH_SUCCESS) {
+            GELOGE(FAILED, "Get tensor size in bytes failed.");
+            return FAILED;
+          }
+          gear_and_real_out_size_info[all_gears_info_[batch_index]] = data_size;
+          GELOGD("Get real gear index is: %zu, gear info is %s, size is %ld, tensor size is %ld",
+                 batch_index, formats::JoinToString(all_gears_info_[batch_index]).c_str(),
+                 input_size_list[input_index], data_size);
+        }
+        break;
       }
-      gear_and_real_out_size_info[all_gears_info_[batch_index]] = data_size;
-      GELOGD("Get real gear index is: %zu, gear info is %s, size is %ld, tensor size is %ld",
-             batch_index, formats::JoinToString(all_gears_info_[batch_index]).c_str(),
-             output_size_list[output_index], data_size);
     }
   }
   merge_nodes_gear_and_real_out_size_info_[input_index] = gear_and_real_out_size_info;
   return SUCCESS;
 }
 
-Status DavinciModel::GetGearAndRealOutShapeInfo(size_t input_count, const OpDescPtr &op_desc) {
-  GELOGD("Start to get dynamic output dims of %s.", op_desc->GetName().c_str());
+Status DavinciModel::GetGearAndRealOutShapeInfo(const ComputeGraphPtr &graph, const NodePtr &node) {
+  GELOGD("Start to get dynamic output dims of %s.", node->GetName().c_str());
   merge_nodes_gear_and_real_out_shape_info_.clear();
-  std::vector<std::string> dynamic_output_shape_info;
-  if (!AttrUtils::GetListStr(op_desc, ATTR_NAME_DYNAMIC_OUTPUT_DIMS, dynamic_output_shape_info)) {
-    GELOGD("Can not get dynamic output dims attr");
-    return SUCCESS;
-  }
-  GELOGI("Dynamic output shape info is %s", formats::JoinToString(dynamic_output_shape_info).c_str());
-  std::vector<vector<int64_t>> dynamic_output_shape;
-  ParseDynamicOutShape(dynamic_output_shape_info, dynamic_output_shape);
-  // idx: input_index to netoutput
-  for (size_t idx = 0; idx < input_count; ++idx) {
-    std::map<vector<int64_t>, vector<int64_t>> gear_and_real_out_shape_info;
-    for (auto &it : dynamic_output_shape) {
-      auto gear_index = static_cast<size_t>(it[0]);
-      if (gear_index > all_gears_info_.size()) {
-        GELOGE(PARAM_INVALID, "The value of cur index: %zu is invalid.", static_cast<size_t>(it[0]));
-        return PARAM_INVALID;
+  size_t idx = 0;
+  for (const auto &in_anchor : node->GetAllInDataAnchors()) {
+    auto peer_out_anchor = in_anchor->GetPeerOutAnchor();
+    if (peer_out_anchor == nullptr) {
+      continue;
+    }
+    auto peer_node = peer_out_anchor->GetOwnerNode();
+    auto op_desc = peer_node->GetOpDesc();
+    GE_CHECK_NOTNULL(op_desc);
+    if ((peer_node->GetType() == CASE) && (op_desc->HasAttr(ATTR_INSERT_BY_MBATCH))) {
+      std::vector<std::string> dynamic_output_shape_info;
+      if (!AttrUtils::GetListStr(node->GetOpDesc(), ATTR_NAME_DYNAMIC_OUTPUT_DIMS, dynamic_output_shape_info)) {
+        GELOGD("Can not get dynamic output dims attr from %s.", node->GetName().c_str());
+        return SUCCESS;
       }
+      GELOGI("Dynamic output shape info is %s", formats::JoinToString(dynamic_output_shape_info).c_str());
+      std::vector<vector<int64_t>> dynamic_output_shape;
+      ParseDynamicOutShape(dynamic_output_shape_info, dynamic_output_shape);
+      std::map<vector<int32_t>, vector<int64_t>> gear_and_real_out_shape_info;
+      for (auto &it : dynamic_output_shape) {
+        auto gear_index = static_cast<size_t>(it[0]);
+        if (gear_index > all_gears_info_.size()) {
+          GELOGE(PARAM_INVALID, "The value of cur index: %zu is invalid.", static_cast<size_t>(it[0]));
+          return PARAM_INVALID;
+        }
 
-      if (static_cast<size_t>(it[1]) == idx) {
-        vector<int64_t> output_shape;
-        for (size_t i = 2; i < it.size(); ++i) {
-          output_shape.emplace_back(it[i]);
+        if (static_cast<size_t>(it[1]) == idx) {
+          vector<int64_t> output_shape;
+          for (size_t i = 2; i < it.size(); ++i) {
+            output_shape.emplace_back(it[i]);
+          }
+          gear_and_real_out_shape_info[all_gears_info_[gear_index]] = output_shape;
+          GELOGD("Get real gear index is: %zu, gear info is %s, output shape is %s.",
+                 gear_index, formats::JoinToString(all_gears_info_[gear_index]).c_str(),
+                 formats::JoinToString(output_shape).c_str());
         }
-        gear_and_real_out_shape_info[all_gears_info_[gear_index]] = output_shape;
-        GELOGD("Get real gear index is: %zu, gear info is %s, output shape is %s.",
-               gear_index, formats::JoinToString(all_gears_info_[gear_index]).c_str(),
-               formats::JoinToString(output_shape).c_str());
       }
+      merge_nodes_gear_and_real_out_shape_info_[idx] = gear_and_real_out_shape_info;
     }
-    merge_nodes_gear_and_real_out_shape_info_[idx] = gear_and_real_out_shape_info;
+    idx++;
   }
   return SUCCESS;
 }
@@ -1962,7 +1993,7 @@ void DavinciModel::CreateOutput(uint32_t index, const OpDescPtr &op_desc, InputO
                                 uint32_t &format_result) {
   /// netoutput input tensor desc
   GE_IF_BOOL_EXEC(op_desc->GetInputDescPtr(index) == nullptr, GELOGE(FAILED, "OpDesc GetInputDescPtr is nullptr");
-                  return );
+                  return);
   Format format = op_desc->GetInputDescPtr(index)->GetFormat();
   GeShape shape = op_desc->GetInputDescPtr(index)->GetShape();
   DataType data_type = op_desc->GetInputDescPtr(index)->GetDataType();
@@ -2567,7 +2598,7 @@ Status DavinciModel::ReturnResult(uint32_t data_id, const bool rslt_flg, const b
     GELOGD("Reinit cur dynamic dims when getnext sink dynamic.");
     cur_dynamic_dims_.clear();
     cur_dynamic_dims_.resize(shape_of_cur_dynamic_dims_);
-    auto ret = rtMemcpy(cur_dynamic_dims_.data(), shape_of_cur_dynamic_dims_ * sizeof(int64_t),
+    auto ret = rtMemcpy(cur_dynamic_dims_.data(), shape_of_cur_dynamic_dims_ * sizeof(int32_t),
                         netoutput_last_input_addr_, netoutput_last_input_size_, RT_MEMCPY_DEVICE_TO_HOST);
     GE_CHK_RT_RET(ret);
   }
@@ -2668,11 +2699,11 @@ void *DavinciModel::Run(DavinciModel *model) {
       GE_IF_BOOL_EXEC(current_data.blobs.empty(), break);
       auto shape_data_buffer_data = current_data.blobs.back().data;
       auto shape_data_buffer_length = current_data.blobs.back().length;
-      model->cur_dynamic_dims_.assign(reinterpret_cast<int64_t *>(shape_data_buffer_data),
-                                      reinterpret_cast<int64_t *>(shape_data_buffer_data) +
-                                      shape_data_buffer_length / sizeof(int64_t));
+      model->cur_dynamic_dims_.assign(reinterpret_cast<int32_t *>(shape_data_buffer_data),
+                                      reinterpret_cast<int32_t *>(shape_data_buffer_data) +
+                                      shape_data_buffer_length / sizeof(int32_t));
       GELOGD("Data: cur dynamic dims is %s", formats::JoinToString(model->cur_dynamic_dims_).c_str());
-      delete[] reinterpret_cast<int64_t *>(current_data.blobs.back().data);
+      delete[] reinterpret_cast<int32_t *>(current_data.blobs.back().data);
       current_data.blobs.pop_back();
     }
     GE_IF_BOOL_EXEC(ProfilingManager::Instance().ProfilingModelExecuteOn(), model->SetProfileTime(MODEL_PRE_PROC_END));

ge/graph/load/new_model_manager/davinci_model.h

@@ -864,11 +864,13 @@ class DavinciModel {
 
   void ParseDynamicOutShape(const vector<string> &str_info, vector<vector<int64_t>> &vec_info);
   bool IsGetNextSinkDynamic(const OpDescPtr &op_desc);
+
+  Status InitRealSizeAndShapeInfo(const ComputeGraphPtr &compute_graph, const NodePtr &node);
   void GetAllGearsInfo(const NodePtr &node);
   Status GetGetDynamicDimsNodeInfo(const NodePtr &node);
-  Status GetGearAndRealOutSizeInfo(size_t input_count, const NodePtr &node);
-  Status GetRealOutputSizeOfMerge(size_t input_index, const NodePtr &merge_node);
-  Status GetGearAndRealOutShapeInfo(size_t input_count, const OpDescPtr &op_desc);
+  Status GetGearAndRealOutSizeInfo(const ComputeGraphPtr &graph, const NodePtr &node);
+  Status GetRealOutputSizeOfCase(const ComputeGraphPtr &graph, size_t input_index, const NodePtr &case_node);
+  Status GetGearAndRealOutShapeInfo(const ComputeGraphPtr &graph, const NodePtr &node);
 
   bool is_weight_mem_has_inited_;
   bool is_feature_map_mem_has_inited_;
@@ -1021,15 +1023,15 @@ class DavinciModel {
   bool is_new_model_desc_{false};
   bool is_online_infer_dynamic_ = false;
   bool is_getnext_sink_dynamic_ = false;
-  vector<int64_t> cur_dynamic_dims_;
+  vector<int32_t> cur_dynamic_dims_;
   void *netoutput_last_input_addr_ = nullptr;
   int64_t netoutput_last_input_size_ = 0;
   size_t shape_of_cur_dynamic_dims_ = 0;
   // key: input_index: input is merge node; value: each gear info and each output size
-  map<size_t, map<vector<int64_t>, int64_t>> merge_nodes_gear_and_real_out_size_info_;
+  map<size_t, map<vector<int32_t>, int64_t>> merge_nodes_gear_and_real_out_size_info_;
   // key: input_index: input is merge node; value: each gear info and each output shape
-  map<size_t, map<vector<int64_t>, vector<int64_t>>> merge_nodes_gear_and_real_out_shape_info_;
-  vector<vector<int64_t>> all_gears_info_;
+  map<size_t, map<vector<int32_t>, vector<int64_t>>> merge_nodes_gear_and_real_out_shape_info_;
+  vector<vector<int32_t>> all_gears_info_;
 
   multimap<uint32_t, uint32_t> op_id_map_;
   vector<ProfileInfo> profile_list_;

ge/graph/load/new_model_manager/model_manager.cc

@@ -460,8 +460,8 @@ Status ModelManager::DataInput(const InputData &input_data, OutputData &output_d
 
 Status ModelManager::GetCurDynamicDims(const vector<vector<int64_t>> &user_real_input_dims,
                                        const vector<pair<string, vector<int64_t>>> &user_input_dims,
-                                       vector<int64_t> &cur_dynamic_dims) {
-  GELOGD(" Start get cur dynamic dims.");
+                                       vector<int32_t> &cur_dynamic_dims) {
+  GELOGD("Start get cur dynamic dims.");
   if (user_real_input_dims.size() != user_input_dims.size()) {
     GELOGE(INTERNAL_ERROR,
            "The input count of user: %zu should be equal to the data count of graph: %zu",
@@ -478,7 +478,7 @@ Status ModelManager::GetCurDynamicDims(const vector<vector<int64_t>> &user_real_
     }
     for (size_t j = 0; j < user_input_dims.at(i).second.size(); ++j) {
       if (user_input_dims.at(i).second.at(j) < 0) {
-        cur_dynamic_dims.emplace_back(user_real_input_dims[i][j]);
+        cur_dynamic_dims.emplace_back(static_cast<int32_t>(user_real_input_dims[i][j]));
       }
     }
   }
@@ -523,7 +523,7 @@ Status ModelManager::DataInputTensor(uint32_t model_id, const std::vector<InputT
     input_data.blobs.push_back(data);
   }
   if (!GetLocalOmgContext().user_input_dims.empty() && GetLocalOmgContext().need_multi_batch) {
-    std::vector<int64_t> cur_dynamic_dims;
+    std::vector<int32_t> cur_dynamic_dims;
     if (!GetLocalOmgContext().user_real_input_dims.empty()) {
       if (GetCurDynamicDims(GetLocalOmgContext().user_real_input_dims, GetLocalOmgContext().user_input_dims,
                             cur_dynamic_dims) != SUCCESS) {
@@ -531,9 +531,9 @@ Status ModelManager::DataInputTensor(uint32_t model_id, const std::vector<InputT
         return INTERNAL_ERROR;
       }
       DataBuffer data;
-      data.data = new(std::nothrow) int64_t[cur_dynamic_dims.size()];
+      data.data = new(std::nothrow) int32_t[cur_dynamic_dims.size()];
       GE_CHECK_NOTNULL(data.data);
-      uint64_t length = static_cast<uint64_t>(cur_dynamic_dims.size() * sizeof(int64_t));
+      uint32_t length = static_cast<uint32_t>(cur_dynamic_dims.size() * sizeof(int32_t));
       GE_CHK_BOOL_EXEC(memcpy_s(data.data, length, cur_dynamic_dims.data(), length) == EOK, return INTERNAL_ERROR,
                        "Failed to memcpy data.");
       data.length = length;

ge/graph/load/new_model_manager/model_manager.h

@@ -126,14 +126,14 @@ class FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY ModelManager {
   ///
   /// @ingroup domi_ome
   /// @brief Get cur_dynamic_dims for all input.
-  /// @param [in] vector<vector<uint64_t>> &user_real_input_dims: dims info of all user_inputs.
+  /// @param [in] vector<vector<int64_t>> &user_real_input_dims: dims info of all user_inputs.
   /// @param [in] vector<pair<string, vector<int64_t>>> &user_input_dims: key:name. value:dynamic dims from option.
-  /// @param [out] vector<uint64_t> &cur_dynamic_dims: real dims gather, where the index of -1.
+  /// @param [out] vector<int32_t> &cur_dynamic_dims: real dims gather, where the index of -1.
   /// @return 0: SUCCESS / others: INTERNAL_ERROR
   ///
   Status GetCurDynamicDims(const vector<vector<int64_t>> &user_real_input_dims,
                            const vector<pair<string, vector<int64_t>>> &user_input_dims,
-                           vector<int64_t> &cur_dynamic_dims);
+                           vector<int32_t> &cur_dynamic_dims);
 
   ///
   /// @ingroup domi_ome

ge/graph/load/new_model_manager/task_info/hccl_task_info.cc

@@ -145,7 +145,9 @@ Status HcclTaskInfo::SetFollowStream(const ge::ConstOpDescPtr &op_desc, DavinciM
     } else {
       GELOGI("need to reuse follow stream and create new follow stream.");
       size_t created_stream_num = follow_stream_usage.size();
-      hccl_stream_list_ = follow_stream_usage;
+      for (const auto &stream : follow_stream_usage) {
+        hccl_stream_list_.emplace_back(stream);
+      }
       ret = CreateStream(hccl_stream_num - created_stream_num, davinci_model, main_stream_id);
       if (ret != SUCCESS) {
         GELOGE(RT_FAILED, "Create hccl stream failed.");

ge/graph/manager/graph_manager.cc

@@ -2780,8 +2780,10 @@ Status GraphManager::ParseInputsDims(const std::vector<InputTensorInfo> &input_t
   if (!GetLocalOmgContext().dynamic_node_type.empty()) {
     vector<NodePtr> data_nodes;
     vector<NodePtr> getnext_nosink_nodes;
-    data_nodes = compute_graph_->TryGetExtAttr(kExtAttrDataNodes, data_nodes);
-    getnext_nosink_nodes = compute_graph_->TryGetExtAttr(kExtAttrGetNextNoSink, getnext_nosink_nodes);
+    data_nodes = GetLocalOmgContext().data_nodes;
+    getnext_nosink_nodes = GetLocalOmgContext().getnext_nosink_nodes;
+    GELOGD("Data nodes count is %zu, getnext nosink nodes count is %zu.", data_nodes.size(),
+           getnext_nosink_nodes.size());
     if (GetLocalOmgContext().dynamic_node_type == DATA) {
       if (getnext_nosink_nodes.empty()) {
         // just data or data+getnext_sink

ge/graph/passes/common_subexpression_elimination_pass.cc

@@ -26,6 +26,10 @@
 
 namespace ge {
 namespace {
+std::set<std::string> un_compute_attrs = {
+    {ATTR_NAME_DATA_DUMP_ORIGIN_OP_NAMES},
+};
+
 std::string GetCseKey(const NodePtr &node) {
   std::stringstream ss;
   ss << node->GetType() << "-data-inputs-";
@@ -49,7 +53,7 @@ std::string GetCseKey(const NodePtr &node) {
     ss << name << "-";
   }
 
-  ss << "attrs-" << AttrUtils::GetAllAttrsStr(node->GetOpDesc());
+  ss << "attrs-" << AttrUtils::GetAttrsStrAfterRid(node->GetOpDesc(), un_compute_attrs);
 
   return ss.str();
 }

ge/graph/passes/multi_batch_clone_pass.cc

@@ -25,31 +25,65 @@
 #include "graph/utils/tensor_utils.h"
 #include "graph/utils/type_utils.h"
 #include "register/op_registry.h"
+#include "graph/common/omg_util.h"
 
 namespace ge {
 namespace {
 constexpr uint8_t kDataInIndex = 0;
 constexpr uint8_t kDataOutIndex = 0;
 constexpr uint8_t kCaseArgIndex = 1;
+const int kDivisionConst = 2;
+const size_t kNumOfGetnextNode = 1;
 
 const std::string kMultiBatchCaseNode = "ascend_mbatch_shape_case";
 const std::string kMultiBatchDataNode = "ascend_mbatch_shape_data";
+const std::string kMultiBatchGetDynamicDimsNode = "ascend_mbatch_get_dynamic_dims_node";
 const std::string kMultiBatchConstNode = "ascend_mbatch_shape_const";
 const std::string kMultiBatchMapIndexNode = "ascend_mbatch_shape_mapindex";
 const std::string kMultiBatchNodePostfix = "_ascend_mbatch_batch_";
+const char *const kGetNextName = "IteratorV2";
 }  // namespace
 
+inline bool IsGetNextType(const NodePtr &node) {
+  std::string original_type;
+  GE_IF_BOOL_EXEC(GetOriginalType(node, original_type) != SUCCESS,
+                  GELOGW("Get original type failed."); return false);
+  return (original_type == kGetNextName);
+}
+
 Status MultiBatchClonePass::Run(ComputeGraphPtr graph) {
+  GE_IF_BOOL_EXEC(graph == nullptr, GELOGE(FAILED, "Original graph is nullptr"); return FAILED);
   if (graph->GetParentGraph() != nullptr) {
     GELOGD("Subgraph %s skip the MultiBatchClonePass", graph->GetName().c_str());
     return SUCCESS;
   }
-
+  if (!GetLocalOmgContext().need_multi_batch) {
+    GELOGI("No need to process_multi for no_train graph.");
+    return SUCCESS;
+  }
+  std::vector<NodePtr> data_nodes;
+  std::vector<NodePtr> getnext_nosink_nodes;
+  std::vector<NodePtr> getnext_sink_nodes;
+  if (multibatch::CheckSequenceOfOptions(graph, data_nodes, getnext_nosink_nodes, getnext_sink_nodes) != SUCCESS) {
+    GELOGE(PARAM_INVALID, "[Train_Dynamic] CheckSequenceOfOptions failed.");
+    return PARAM_INVALID;
+  }
+  if (multibatch::UpdateNameOfInputShape(graph, data_nodes, getnext_nosink_nodes, getnext_sink_nodes) != SUCCESS) {
+    GELOGE(PARAM_INVALID, "[Train_Dynamic] UpdateNameForInputShapeOfOption failed.");
+    return PARAM_INVALID;
+  }
+  if (multibatch::DeleteIdentityInsertByAdapter(graph) != SUCCESS) {
+    GELOGE(PARAM_INVALID, "[Train_Dynamic] DeleteIdentityInsertByAdapter failed.");
+    return PARAM_INVALID;
+  }
   if (!multibatch::InitDynamicParams(batch_shapes_)) {
     GELOGD("There is no multi-batch options, no need clone multi-batch graph");
     return SUCCESS;
   }
-
+  if (multibatch::CheckNegativeCountOfOptions(batch_shapes_) != SUCCESS) {
+    GELOGE(PARAM_INVALID, "[Train_Dynamic] Input_shape and dynamic_dims should set correct params.");
+    return PARAM_INVALID;
+  }
   GELOGD("Begin to run Multi-batch clone on graph: %s", graph->GetName().c_str());
   GE_CHK_STATUS_RET(multibatch::CheckDynamicParams(batch_shapes_), "Invalid multi-batch param");
   if (CollectIoNodes(graph) != SUCCESS) {
@@ -66,21 +100,14 @@ Status MultiBatchClonePass::Run(ComputeGraphPtr graph) {
 
   (void)AttrUtils::GetStr(graph, ATTR_NAME_SESSION_GRAPH_ID, session_graph_id_);
   ComputeGraphPtr branch = MakeShared<ComputeGraph>(graph->GetName());
-  if (branch == nullptr) {
-    GELOGE(OUT_OF_MEMORY, "Create multi-batch graph failed");
-    return OUT_OF_MEMORY;
-  }
+  GE_IF_BOOL_EXEC(branch == nullptr, GELOGE(OUT_OF_MEMORY, "Create multi batch graph failed"); return OUT_OF_MEMORY);
   (void)AttrUtils::SetStr(branch, ATTR_NAME_SESSION_GRAPH_ID, session_graph_id_);
 
   graph->InValid();  // Will modify, need topological again.
   graph->Swap(*branch);
-  if (CreateRootGraph(graph) != SUCCESS) {
-    return FAILED;
-  }
-
-  if (CreateSubgraphs(graph, branch) != SUCCESS) {
-    return FAILED;
-  }
+  GE_CHK_STATUS_RET(CreateRootGraph(graph), "Construct root graph failed.");
+  GE_CHK_STATUS_RET(CreateOriGraph(branch), "Construct original graph failed.")
+  GE_CHK_STATUS_RET(CreateSubgraphs(graph, branch), "Construct subgraph failed.");
 
   GE_CHK_STATUS_RET(PruneDirectOutput(graph), "Prune direct output failed");
   GELOGD("MultiBatchClonePass Leave");
@@ -95,9 +122,13 @@ Status MultiBatchClonePass::Run(ComputeGraphPtr graph) {
 ///
 Status MultiBatchClonePass::CollectIoNodes(const ComputeGraphPtr &graph) {
   for (const auto &node : graph->GetDirectNode()) {
+    if (!GetLocalOmgContext().dynamic_node_type.empty() && IsGetNextType(node)) {
+      all_data_nodes_.emplace_back(node);
+      GE_CHK_STATUS_RET(InitParamsOfGetNext(node), "Init params of %s failed.", node->GetName().c_str());
+    }
     if (node->GetType() == DATA) {
       all_data_nodes_.emplace_back(node);
-    } else if (node->GetType() == CONSTANT) {
+    } else if (node->GetType() == CONSTANT || node->GetType() == CONSTANTOP) {
       all_const_nodes_.emplace_back(node);
     } else if (node->GetType() == NETOUTPUT) {
       all_output_nodes_.emplace_back(node);
@@ -114,10 +145,16 @@ Status MultiBatchClonePass::CollectIoNodes(const ComputeGraphPtr &graph) {
   }
 
   int64_t data_index = 0;
+  size_t getnext_node_count = 0;
   for (size_t i = 0; i < all_data_nodes_.size(); ++i) {
+    if (IsGetNextType(all_data_nodes_[i])) {
+      // just one getnext node in graph
+      getnext_node_count++;
+      continue;
+    }
     const auto &op_desc = all_data_nodes_[i]->GetOpDesc();
     if (!AttrUtils::GetInt(op_desc, ATTR_NAME_INDEX, data_index)) {
-      (void)AttrUtils::SetInt(op_desc, ATTR_NAME_INDEX, i);
+      (void)AttrUtils::SetInt(op_desc, ATTR_NAME_INDEX, i - getnext_node_count);
     }
   }
 
@@ -133,7 +170,43 @@ Status MultiBatchClonePass::CollectIoNodes(const ComputeGraphPtr &graph) {
           "Remove edge failed");
     }
   }
+  GELOGD("Data count is %zu, const count is %zu, getnext count is %zu, output count is %zu, direct out count is %zu.",
+         all_data_nodes_.size(), all_const_nodes_.size(), getnext_node_count, all_output_nodes_.size(),
+         direct_output_.size());
+
+  return SUCCESS;
+}
 
+Status MultiBatchClonePass::InitParamsOfGetNext(const NodePtr &node) {
+  data_count_from_getnext_ = 0;
+  getnext_sink_dynamic_dims_ = false;
+  GE_CHECK_NOTNULL(node->GetOpDesc());
+  data_count_from_getnext_ = node->GetOpDesc()->GetOutputsSize();
+  if (GetLocalOmgContext().dynamic_node_type == GETNEXT) {
+    data_count_from_getnext_ = data_count_from_getnext_ / kDivisionConst;
+    for (size_t i = 0; i < data_count_from_getnext_; ++i) {
+      GeTensorDesc output_desc = node->GetOpDesc()->GetOutputDesc(i);
+      GELOGD("The %zu data shape from getnext sink is %s.", i,
+             formats::JoinToString(output_desc.GetShape().GetDims()).c_str());
+      const auto &dims = output_desc.GetShape().GetDims();
+      if (std::all_of(dims.begin(), dims.end(), [](int64_t val) {return val >= 0; })) {
+        GELOGD("The %zu data from %s is static.", i, node->GetName().c_str());
+      } else {
+        getnext_sink_dynamic_dims_ = true;
+        GELOGD("Dynamic dims in the pattern of getnext sink.");
+      }
+    }
+  }
+  if (node->GetOutControlAnchor() != nullptr) {
+    for (const auto &peer_in_control_anchor : node->GetOutControlAnchor()->GetPeerInControlAnchors()) {
+      NodePtr next_node = peer_in_control_anchor->GetOwnerNode();
+      GE_CHECK_NOTNULL(next_node);
+      if (next_node->GetType() == CONSTANTOP) {
+        out_control_nodes_.insert(next_node);
+        GELOGD("Control edge: %s connect with %s.", node->GetName().c_str(), next_node->GetName().c_str());
+      }
+    }
+  }
   return SUCCESS;
 }
 
@@ -144,7 +217,11 @@ Status MultiBatchClonePass::CollectIoNodes(const ComputeGraphPtr &graph) {
 /// @return 0: SUCCESS / others: FAILED
 ///
 Status MultiBatchClonePass::CreateRootGraph(const ComputeGraphPtr &graph) {
+  GELOGD("Start create root graph of %s.", graph->GetName().c_str());
   uint32_t input_num = all_data_nodes_.size() + all_const_nodes_.size();
+  if (data_count_from_getnext_ != 0) {
+    input_num = input_num + data_count_from_getnext_ - kNumOfGetnextNode;
+  }
   uint32_t output_num = all_output_nodes_[0]->GetAllInDataAnchorsSize();
 
   OpDescBuilder op_builder(kMultiBatchCaseNode, CASE);
@@ -185,6 +262,10 @@ Status MultiBatchClonePass::CreateRootGraph(const ComputeGraphPtr &graph) {
            op_desc->GetName().c_str());
     return FAILED;
   }
+  if (!AttrUtils::SetBool(op_desc, ATTR_INSERT_BY_MBATCH, true)) {
+    GELOGE(INTERNAL_ERROR, "Failed to add insert attr on case node %s", op_desc->GetName().c_str());
+    return INTERNAL_ERROR;
+  }
   GE_CHK_STATUS_RET(multibatch::StampDynamicType(op_desc), "Set dynamic type failed");
 
   GE_CHK_STATUS_RET(CreateIndexNode(graph), "Create index node failed");
@@ -202,7 +283,7 @@ Status MultiBatchClonePass::CreateRootGraph(const ComputeGraphPtr &graph) {
 /// @param [in] NodePtr node: index data node.
 /// @return 0: SUCCESS / others: FAILED
 ///
-Status MultiBatchClonePass::CreateIndexDataNode(const ComputeGraphPtr &graph, NodePtr &node) {
+Status MultiBatchClonePass::CreateIndexDataNode(const ComputeGraphPtr &graph, NodePtr &shape_node) {
   const OpDescPtr data_desc = MakeShared<OpDesc>(kMultiBatchDataNode, DATA);
   if (data_desc == nullptr) {
     GELOGE(OUT_OF_MEMORY, "Create multi-batch data node failed");
@@ -220,11 +301,12 @@ Status MultiBatchClonePass::CreateIndexDataNode(const ComputeGraphPtr &graph, No
   }
 
   size_t data_index = all_data_nodes_.size();
+  data_index = data_count_from_getnext_ != 0 ? data_index - kNumOfGetnextNode : data_index;
   (void)AttrUtils::SetInt(data_desc, ATTR_NAME_INDEX, data_index);
   (void)AttrUtils::SetBool(data_desc, ATTR_INSERT_BY_MBATCH, true);
 
-  node = graph->AddNode(data_desc);
-  if (node == nullptr) {
+  shape_node = graph->AddNode(data_desc);
+  if (shape_node == nullptr) {
     GELOGE(OUT_OF_MEMORY, "Create multi-batch data node failed");
     return OUT_OF_MEMORY;
   }
@@ -286,15 +368,19 @@ Status MultiBatchClonePass::CreateIndexConstNode(const ComputeGraphPtr &graph, N
 /// @return 0: SUCCESS / others: FAILED
 ///
 Status MultiBatchClonePass::CreateIndexNode(const ComputeGraphPtr &graph) {
-  // Data --> MapIndex --> Case
-  NodePtr data_node;
-  GE_CHK_STATUS_RET(CreateIndexDataNode(graph, data_node), "Create data node failed");
+  // Data/GetDynamicDims --> MapIndex --> Case
+  if (!getnext_sink_dynamic_dims_) {
+    GE_CHK_STATUS_RET(CreateIndexDataNode(graph, shape_node_), "Create data node failed");
+  } else {
+    GE_CHK_STATUS_RET(CreateGetDynamicDimsNode(graph, shape_node_), "Create get dynamic dims node failed");
+  }
 
   NodePtr const_node;
   GE_CHK_STATUS_RET(CreateIndexConstNode(graph, const_node), "Create const node failed");
-
+  GELOGD("Shape node name is %s, type is %s, const node name is %s.", shape_node_->GetName().c_str(),
+         shape_node_->GetType().c_str(), const_node->GetName().c_str());
   OpDescBuilder op_builder(kMultiBatchMapIndexNode, "MapIndex");
-  op_builder.AddInput("x", data_node->GetOpDesc()->GetOutputDesc(0))
+  op_builder.AddInput("x", shape_node_->GetOpDesc()->GetOutputDesc(0))
       .AddInput("data_seq", const_node->GetOpDesc()->GetOutputDesc(0))
       .AddOutput("y", GeTensorDesc(GeShape(), FORMAT_ND, DT_INT32));
 
@@ -309,8 +395,10 @@ Status MultiBatchClonePass::CreateIndexNode(const ComputeGraphPtr &graph) {
     return OUT_OF_MEMORY;
   }
 
-  if (GraphUtils::AddEdge(data_node->GetOutDataAnchor(0), index_node->GetInDataAnchor(0)) != GRAPH_SUCCESS) {
-    GELOGE(FAILED, "Failed to add edge between node:%s to MapIndex:%s", data_node->GetName().c_str(),
+  GE_CHK_STATUS_RET(AddAttrForGetDynamicDims(shape_node_), "Failed to add attr for %s.",
+                    shape_node_->GetName().c_str());
+  if (GraphUtils::AddEdge(shape_node_->GetOutDataAnchor(0), index_node->GetInDataAnchor(0)) != GRAPH_SUCCESS) {
+    GELOGE(FAILED, "Failed to add edge between node:%s to MapIndex:%s", shape_node_->GetName().c_str(),
            index_node->GetName().c_str());
     return FAILED;
   }
@@ -328,6 +416,120 @@ Status MultiBatchClonePass::CreateIndexNode(const ComputeGraphPtr &graph) {
   return SUCCESS;
 }
 
+Status MultiBatchClonePass::CreateGetDynamicDimsNode(const ComputeGraphPtr &graph, NodePtr &shape_node) {
+  const OpDescPtr data_desc = MakeShared<OpDesc>(kMultiBatchGetDynamicDimsNode, GETDYNAMICDIMS);
+  if (data_desc == nullptr) {
+    GELOGE(OUT_OF_MEMORY, "Create multi-batch get dynamic dims node failed");
+    return OUT_OF_MEMORY;
+  }
+
+  // input of GetDynamicDims is shape_of_each_data, output is gear_info
+  for (size_t i = 0; i < GetLocalOmgContext().user_input_dims.size(); ++i) {
+    size_t input_shape_dims = GetLocalOmgContext().user_input_dims.at(i).second.size();
+    // add input desc without GeShape for const input, value of input_shape is 1 transferred by adapter
+    if (input_shape_dims == 1 && GetLocalOmgContext().user_input_dims.at(i).second.at(0) == 0) {
+      GeTensorDesc tensor_desc;
+      tensor_desc.SetFormat(FORMAT_ND);
+      tensor_desc.SetDataType(DT_INT32);
+      auto ret = data_desc->AddInputDesc(tensor_desc);
+      GE_IF_BOOL_EXEC(ret != GRAPH_SUCCESS, GELOGE(INTERNAL_ERROR, "Failed to add input desc for created data");
+          return FAILED);
+      continue;
+    }
+    GeTensorDesc tensor_desc(GeShape({static_cast<int32_t>(input_shape_dims)}), FORMAT_ND, DT_INT32);
+    auto ret = data_desc->AddInputDesc(tensor_desc);
+    GE_IF_BOOL_EXEC(ret != GRAPH_SUCCESS, GELOGE(INTERNAL_ERROR, "Failed to add input desc for created data");
+        return FAILED);
+  }
+  GeTensorDesc tensor_desc(GeShape({static_cast<int32_t>(batch_shapes_.at(0).size())}), FORMAT_ND, DT_INT32);
+  auto ret = data_desc->AddOutputDesc(tensor_desc);
+  GE_IF_BOOL_EXEC(ret != GRAPH_SUCCESS, GELOGE(INTERNAL_ERROR, "Failed to add output desc for created data");
+      return FAILED);
+
+  (void)AttrUtils::SetBool(data_desc, ATTR_INSERT_BY_MBATCH, true);
+
+  shape_node = graph->AddNode(data_desc);
+  if (shape_node == nullptr) {
+    GELOGE(OUT_OF_MEMORY, "Create multi-batch dynamic dims node failed");
+    return OUT_OF_MEMORY;
+  }
+  return SUCCESS;
+}
+
+Status MultiBatchClonePass::AddAttrForGetDynamicDims(const NodePtr &shape_node) {
+  if (!getnext_sink_dynamic_dims_) {
+    GELOGD("No need to add attr when not insert get dynamic dims node.");
+    return SUCCESS;
+  }
+  GELOGD("Add attr for :%s, type is %s:", shape_node->GetName().c_str(), shape_node->GetType().c_str());
+  if (!AttrUtils::SetInt(shape_node->GetOpDesc(), ATTR_GETNEXT_SINK_DATA_COUNT, data_count_from_getnext_)) {
+    GELOGE(INTERNAL_ERROR, "set ATTR_GETNEXT_SINK_DATA_COUNT failed");
+    return INTERNAL_ERROR;
+  }
+  vector<int64_t> shape_info;
+  for (size_t i = 0; i < GetLocalOmgContext().user_input_dims.size(); ++i) {
+    if (GetLocalOmgContext().user_input_dims.at(i).second.size() == 1 &&
+        GetLocalOmgContext().user_input_dims.at(i).second.at(0) == 0) {
+      shape_info.emplace_back(0);
+      continue;
+    }
+    shape_info.emplace_back(GetLocalOmgContext().user_input_dims.at(i).second.size());
+    for (size_t j = 0; j < GetLocalOmgContext().user_input_dims.at(i).second.size(); ++j) {
+      shape_info.emplace_back(GetLocalOmgContext().user_input_dims.at(i).second.at(j));
+    }
+  }
+  if (!AttrUtils::SetListInt(shape_node->GetOpDesc(), ATTR_GETNEXT_SINK_SHAPE_INFO, shape_info)) {
+    GELOGE(INTERNAL_ERROR, "set ATTR_GETNEXT_SINK_SHAPE_INFO failed");
+    return INTERNAL_ERROR;
+  }
+  return SUCCESS;
+}
+
+Status MultiBatchClonePass::LinkGetNextToGetDynamicDims(const NodePtr &getnext_node, const NodePtr &shape_node) {
+  GELOGD("Start relink shape anchor of %s to %s.", getnext_node->GetName().c_str(), shape_node->GetName().c_str());
+  size_t input_index = 0;
+  size_t data_count = getnext_node->GetAllOutDataAnchors().size() / kDivisionConst;
+  for (size_t out_index = data_count; out_index < getnext_node->GetAllOutDataAnchors().size(); ++out_index,
+      ++input_index) {
+    GELOGD("Start add %s of %zu out_anchor to %s of %zu in_anchor.", getnext_node->GetName().c_str(), out_index,
+           shape_node->GetName().c_str(), input_index);
+    auto out_data_anchor =  getnext_node->GetOutDataAnchor(out_index);
+    auto ret = GraphUtils::AddEdge(out_data_anchor, shape_node->GetInDataAnchor(input_index));
+    GE_IF_BOOL_EXEC(ret != GRAPH_SUCCESS, GELOGE(INTERNAL_ERROR, "Failed to link getnext %s to getdynamicdims %s",
+                                                 getnext_node->GetName().c_str(), shape_node->GetName().c_str());
+        return INTERNAL_ERROR);
+  }
+  return SUCCESS;
+}
+
+Status MultiBatchClonePass::LinkGetDynamicDimsToNetOutput(const NodePtr &output_node) {
+  if (!GetLocalOmgContext().dynamic_node_type.empty()) {
+    if (!AttrUtils::SetStr(output_node->GetOpDesc(), ATTR_ALL_GEARS_INFO, GetLocalOmgContext().dynamic_dims)) {
+      GELOGE(INTERNAL_ERROR, "Failed to set all gears info attr on netoutput %s.", output_node->GetName().c_str());
+      return INTERNAL_ERROR;
+    }
+  }
+  if (getnext_sink_dynamic_dims_) {
+    GELOGD("Start link %s to %s.", shape_node_->GetName().c_str(), output_node->GetName().c_str());
+    size_t input_index = output_node->GetAllInDataAnchors().size();
+    if (NodeUtils::AppendInputAnchor(output_node, input_index + 1) != GRAPH_SUCCESS) {
+      GELOGE(INTERNAL_ERROR, "Append input anchor of %s of %zu failed.", output_node->GetName().c_str(), input_index);
+      return INTERNAL_ERROR;
+    }
+    auto ret = GraphUtils::AddEdge(shape_node_->GetOutDataAnchor(kDataOutIndex),
+                                   output_node->GetInDataAnchor(input_index));
+    GE_IF_BOOL_EXEC(ret != GRAPH_SUCCESS, GELOGE(INTERNAL_ERROR, "Failed to link netoutput %s to getdynamicdims %s",
+                                                 output_node->GetName().c_str(), shape_node_->GetName().c_str());
+        return INTERNAL_ERROR);
+    if (!AttrUtils::SetBool(output_node->GetOpDesc(), ATTR_GETNEXT_SINK_DYNMAIC, true)) {
+      GELOGE(INTERNAL_ERROR, "Failed to set getnext sink dynamic attr on netoutput %s.",
+             output_node->GetName().c_str());
+      return INTERNAL_ERROR;
+    }
+  }
+  return SUCCESS;
+}
+
 ///
 /// @ingroup ge
 /// @brief Create input node for root graph.
@@ -337,8 +539,10 @@ Status MultiBatchClonePass::CreateIndexNode(const ComputeGraphPtr &graph) {
 Status MultiBatchClonePass::CreateInputNode(const ComputeGraphPtr &graph) {
   // Data --> Case
   std::vector<NodePtr> all_data_nodes;
-  const size_t arg_index = kCaseArgIndex;
-  for (size_t i = 0; i < all_data_nodes_.size(); ++i) {
+  size_t case_input_index = kCaseArgIndex;
+  NodePtr getnext_node = nullptr;
+  size_t input_index_of_getnext = 0;
+  for (size_t i = 0; i < all_data_nodes_.size(); ++i, ++case_input_index) {
     const auto &node = all_data_nodes_[i];
     const OpDescPtr op_desc = AttrUtils::CopyOpDesc(node->GetOpDesc());
     if (op_desc == nullptr) {
@@ -353,22 +557,60 @@ Status MultiBatchClonePass::CreateInputNode(const ComputeGraphPtr &graph) {
     op_desc->SetName(node->GetName());
     const NodePtr &data = graph->AddNode(op_desc);
     GE_CHK_BOOL_EXEC(data != nullptr, return FAILED, "Add node[%s] to graph failed", op_desc->GetName().c_str());
-    if (GraphUtils::AddEdge(data->GetOutDataAnchor(0), case_node_->GetInDataAnchor(arg_index + i)) != GRAPH_SUCCESS) {
-      GELOGE(FAILED, "Failed to add edge between Data:%s to Case:%s",
-             data->GetName().c_str(), case_node_->GetName().c_str());
-      return FAILED;
+    if (IsGetNextType(node)) {
+      getnext_node = data;
+      input_index_of_getnext = case_input_index;
+      case_input_index = case_input_index + data_count_from_getnext_;
+      continue;
+    } else {
+      if (GraphUtils::AddEdge(data->GetOutDataAnchor(0), case_node_->GetInDataAnchor(case_input_index)) !=
+          GRAPH_SUCCESS) {
+        GELOGE(FAILED, "Failed to add edge between Data:%s to Case:%s", data->GetName().c_str(),
+               case_node_->GetName().c_str());
+        return FAILED;
+      }
     }
 
-    if (SetMaxShapeToData(data) != SUCCESS) {
+    if (SetMaxShape(data) != SUCCESS) {
+      GELOGE(FAILED, "Set max shape of %s failed.", data->GetName().c_str());
       return FAILED;
     }
     all_data_nodes.emplace_back(data);
   }
+  if (getnext_node != nullptr) {
+    if (LinkEdgeForGetNext(getnext_node, input_index_of_getnext) != SUCCESS) {
+      GELOGE(FAILED, "Failed to link edge for %s.", getnext_node->GetName().c_str());
+      return FAILED;
+    }
+    if (SetMaxShape(getnext_node) != SUCCESS) {
+      GELOGE(FAILED, "Set max shape of %s failed.", getnext_node->GetName().c_str());
+      return FAILED;
+    }
+    all_data_nodes.emplace_back(getnext_node);
+  }
 
   all_data_nodes_.swap(all_data_nodes);
   return SUCCESS;
 }
 
+Status MultiBatchClonePass::LinkEdgeForGetNext(const NodePtr &getnext_node, size_t &case_input_index) {
+  GELOGD("Start link edge for %s, which is the %zu input of %s.", getnext_node->GetName().c_str(),
+         case_input_index, case_node_->GetName().c_str());
+  for (size_t out_index = 0; out_index < data_count_from_getnext_; ++out_index, ++case_input_index) {
+    if (GraphUtils::AddEdge(getnext_node->GetOutDataAnchor(out_index),
+                            case_node_->GetInDataAnchor(case_input_index)) != GRAPH_SUCCESS) {
+      GELOGE(FAILED, "Failed to add data edge between %zu Data:%s to %zu Case:%s", out_index,
+             getnext_node->GetName().c_str(), case_input_index, case_node_->GetName().c_str());
+      return FAILED;
+    }
+  }
+  if (getnext_sink_dynamic_dims_) {
+    GE_CHK_STATUS_RET(LinkGetNextToGetDynamicDims(getnext_node, shape_node_), "Failed to add link for %s.",
+                      shape_node_->GetName().c_str());
+  }
+  return SUCCESS;
+}
+
 ///
 /// @ingroup ge
 /// @brief Create Const node for root graph.
@@ -378,7 +620,11 @@ Status MultiBatchClonePass::CreateInputNode(const ComputeGraphPtr &graph) {
 Status MultiBatchClonePass::CreateConstNode(const ComputeGraphPtr &graph) {
   // Const --> Case
   std::vector<NodePtr> all_const_nodes;
-  const size_t arg_index = kCaseArgIndex + all_data_nodes_.size();
+  size_t arg_index = kCaseArgIndex + all_data_nodes_.size();
+  if (data_count_from_getnext_ != 0) {
+    arg_index = arg_index + data_count_from_getnext_ - kNumOfGetnextNode;
+  }
+
   for (size_t i = 0; i < all_const_nodes_.size(); ++i) {
     const auto &node = all_const_nodes_[i];
     const OpDescPtr op_desc = AttrUtils::CopyOpDesc(node->GetOpDesc());
@@ -395,15 +641,33 @@ Status MultiBatchClonePass::CreateConstNode(const ComputeGraphPtr &graph) {
     const NodePtr &data = graph->AddNode(op_desc);
     GE_CHK_BOOL_EXEC(data != nullptr, return FAILED, "Add node[%s] to graph failed", op_desc->GetName().c_str());
     if (GraphUtils::AddEdge(data->GetOutDataAnchor(0), case_node_->GetInDataAnchor(arg_index + i)) != GRAPH_SUCCESS) {
-      GELOGE(FAILED, "Failed to add edge between Const:%s to Case:%s",
-             data->GetName().c_str(), case_node_->GetName().c_str());
+      GELOGE(FAILED, "Failed to add edge between Const:%s to Case:%s", data->GetName().c_str(),
+             case_node_->GetName().c_str());
       return FAILED;
     }
     all_const_nodes.emplace_back(data);
   }
+  ChangeConstToData();
+  all_const_nodes_.swap(all_const_nodes);
+  return SUCCESS;
+}
 
+void MultiBatchClonePass::ChangeConstToData() {
   size_t data_index = all_data_nodes_.size();
+  if (data_count_from_getnext_ != 0) {
+    data_index = data_index + data_count_from_getnext_ - kNumOfGetnextNode;
+  }
   for (size_t i = 0; i < all_const_nodes_.size(); ++i, ++data_index) {  // Trans subgraph Const to Data.
+    auto &const_node = all_const_nodes_[i];
+    bool need_change_type = true;
+    if (out_control_nodes_.find(const_node) != out_control_nodes_.end()) {
+      GELOGD("No need to change %s to data type.", const_node->GetName().c_str());
+      need_change_type = false;
+      break;
+    }
+    if (!need_change_type) {
+      continue;
+    }
     const OpDescPtr &op_desc = all_const_nodes_[i]->GetOpDesc();
     op_desc->SetType(DATA);
     (void)op_desc->DelAttr(ATTR_NAME_WEIGHTS);  // Delete weight.
@@ -413,9 +677,6 @@ Status MultiBatchClonePass::CreateConstNode(const ComputeGraphPtr &graph) {
     (void)AttrUtils::SetInt(op_desc, ATTR_NAME_INDEX, data_index);
     (void)NodeUtils::AppendInputAnchor(all_const_nodes_[i], 1);
   }
-
-  all_const_nodes_.swap(all_const_nodes);
-  return SUCCESS;
 }
 
 ///
@@ -461,7 +722,8 @@ Status MultiBatchClonePass::CreateOutputNode(const ComputeGraphPtr &graph) {
       }
     }
   }
-
+  GE_CHK_STATUS_RET(LinkGetDynamicDimsToNetOutput(node), "Failed to add edge between %s to netoutput: %s.",
+                    shape_node_->GetName().c_str(), output->GetName().c_str());
   all_output_nodes_.clear();
   all_output_nodes_.emplace_back(node);
   return SUCCESS;
@@ -473,34 +735,69 @@ Status MultiBatchClonePass::CreateOutputNode(const ComputeGraphPtr &graph) {
 /// @param [in] const NodePtr &data: data in Root/Case graph.
 /// @return 0: SUCCESS / others: FAILED
 ///
-Status MultiBatchClonePass::SetMaxShapeToData(const NodePtr &data) {
-  auto data_shape = NodeUtils::GetOutputDesc(*data, kDataOutIndex).GetShape();
-  auto data_name = data->GetName();
+Status MultiBatchClonePass::SetMaxShape(const NodePtr &data) {
+  GELOGD("Start set max shape for %s.", data->GetName().c_str());
+  if (!IsGetNextType(data)) {
+    if (SetMaxShapeToData(data, kDataOutIndex) != SUCCESS) {
+      GELOGE(PARAM_INVALID, "Failed to update max shape of %s.", data->GetName().c_str());
+      return PARAM_INVALID;
+    }
+  } else {
+    for (size_t out_anchor_index = 0; out_anchor_index < data_count_from_getnext_; ++out_anchor_index) {
+      if (SetMaxShapeToData(data, out_anchor_index) != SUCCESS) {
+        GELOGE(PARAM_INVALID, "Failed to update max shape of %s.", data->GetName().c_str());
+        return PARAM_INVALID;
+      }
+    }
+  }
+  return SUCCESS;
+}
+
+Status MultiBatchClonePass::SetMaxShapeToData(const NodePtr &node, size_t out_anchor_index) {
+  GELOGD("Start update max shape of %s, %zu output.", node->GetName().c_str(), out_anchor_index);
+  auto data_shape = NodeUtils::GetOutputDesc(*node, out_anchor_index).GetShape();
+  string data_name = node->GetName();
+  if (IsGetNextType(node)) {
+    data_name.append("_").append(std::to_string(out_anchor_index));
+  }
+  GELOGD("Update max shape of %s, shape dims is %s.", data_name.c_str(),
+         formats::JoinToString(data_shape.GetDims()).c_str());
   const auto &dims = data_shape.GetDims();
-  if (std::all_of(dims.begin(), dims.end(), [](int64_t val) { return val >= 0; })) {
-    return SUCCESS;
+  if (!IsGetNextType(node)) {
+    if (std::all_of(dims.begin(), dims.end(), [](int64_t val) { return val >= 0; })) {
+      GELOGD("No need to do anything for static data.");
+      return SUCCESS;
+    }
+  } else {
+    if (std::all_of(dims.begin(), dims.end(), [](int64_t val) { return val >= 0; })) {
+      if (getnext_sink_dynamic_dims_) {
+        // need to update shape of Shape_node when getnext node has dynamic data
+        GE_CHK_STATUS_RET(UpdateShapeOfShapeNode(node, out_anchor_index), "Failed to update shape of shape node");
+      }
+      return SUCCESS;
+    }
   }
-  (void)AttrUtils::SetListInt(data->GetOpDesc(), ATTR_MBATCH_ORIGIN_INPUT_DIMS, data_shape.GetDims());
+  (void)AttrUtils::SetListInt(node->GetOpDesc(), ATTR_MBATCH_ORIGIN_INPUT_DIMS, data_shape.GetDims());
 
-  GeTensorDesc tensor(NodeUtils::GetOutputDesc(*data, kDataOutIndex));
+  GeTensorDesc tensor(NodeUtils::GetOutputDesc(*node, kDataOutIndex));
   std::vector<std::string> input_dims_str;
   for (size_t i = 0; i < batch_shapes_.size(); ++i) {
     auto shape = data_shape;
     auto ret = multibatch::CalcShape(data_to_dynamic_info_.at(data_name).at(i), shape);
     if (ret != SUCCESS) {
-      GELOGE(ret, "Failed to calculate the shape for data node %s, the shape may not match", data->GetName().c_str());
+      GELOGE(ret, "Failed to calculate the shape for data node %s, the shape may not match", node->GetName().c_str());
       return ret;
     }
     tensor.SetShape(shape);
     int64_t tensor_size = 0;
     (void)TensorUtils::GetTensorSizeInBytes(tensor, tensor_size);
     string input_str = TypeUtils::FormatToSerialString(tensor.GetFormat()) + ":" +
-	               TypeUtils::DataTypeToSerialString(tensor.GetDataType()) + ":" + data->GetName() + ":" +
+	               TypeUtils::DataTypeToSerialString(tensor.GetDataType()) + ":" + node->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);
+  (void)AttrUtils::SetListStr(node->GetOpDesc(), "_all_origin_gears_inputs", input_dims_str);
 
   size_t max_shape_index = 0;
   int64_t max_size = 0;
@@ -519,18 +816,72 @@ Status MultiBatchClonePass::SetMaxShapeToData(const NodePtr &data) {
       max_shape_index = i;
     }
   }
+  return SetShapeToData(data_to_dynamic_info_.at(data_name).at(max_shape_index), node, data_shape, out_anchor_index);
+}
 
-  return SetShapeToData(data_to_dynamic_info_.at(data_name).at(max_shape_index), data, data_shape);
+///
+/// @ingroup ge
+/// @brief Set max shape to Data/GetNext node in root graph.
+/// @param [in] const std::vector<int64_t> &shapes: dims of shape.
+/// @param [in] const NodePtr &data: data in Root/Case graph.
+/// @param [in] GeShape &data_shape: dims of data node.
+/// @param [in] size_t out_anchor_index: out anchor index of data node.
+/// @return 0: SUCCESS / others: FAILED
+///
+Status MultiBatchClonePass::SetShapeToData(const std::vector<int64_t> &shapes, const NodePtr &data, GeShape &data_shape,
+                                           size_t out_anchor_index) {
+  GELOGD("Start set shape to %zu out of %s.", out_anchor_index, data->GetName().c_str());
+  if (multibatch::CalcShape(shapes, data_shape) != SUCCESS) {
+    GELOGE(INTERNAL_ERROR, "Failed to calculate the batched shape for data node %s, the shapes may not match",
+           data->GetName().c_str());
+    return INTERNAL_ERROR;
+  }
+
+  if (NodeUtils::UpdateOutputShape(*data, out_anchor_index, data_shape) != GRAPH_SUCCESS) {
+    GELOGE(INTERNAL_ERROR, "Failed to update output shape for data %s", data->GetName().c_str());
+    return INTERNAL_ERROR;
+  }
+  if (!IsGetNextType(data)) {
+    if (NodeUtils::UpdateInputShape(*data, kDataInIndex, data_shape) != GRAPH_SUCCESS) {
+      GELOGE(INTERNAL_ERROR, "Failed to update input shape for data %s", data->GetName().c_str());
+      return INTERNAL_ERROR;
+    }
+  } else {
+    if (getnext_sink_dynamic_dims_) {
+      // need to update shape of Shape_node when getnext_sink_dynamic
+      GE_CHK_STATUS_RET(UpdateShapeOfShapeNode(data, out_anchor_index), "Failed to update shape of shape node");
+    }
+  }
+
+  GELOGI("Update the data %s input/output shape to the max %s", data->GetName().c_str(),
+         formats::ShapeToString(data_shape).c_str());
+  return SUCCESS;
+}
+
+Status MultiBatchClonePass::UpdateShapeOfShapeNode(const NodePtr &node, size_t out_anchor_index) {
+  GELOGD("Start update output shape of shape node insert by adapter, which is the %zu out of %s.", out_anchor_index,
+         node->GetName().c_str());
+  auto data_shape = NodeUtils::GetOutputDesc(*node, out_anchor_index).GetShape();
+  size_t shape_index = out_anchor_index + (node->GetAllOutDataAnchors().size() / kDivisionConst);
+  GeTensorDesc output_desc = node->GetOpDesc()->GetOutputDesc(shape_index);
+  std::vector<int64_t> output_dims = {static_cast<int64_t>(data_shape.GetDims().size())};
+  GeShape output_shape(output_dims);
+  output_desc.SetShape(output_shape);
+  if (node->GetOpDesc()->UpdateOutputDesc(shape_index, output_desc) != SUCCESS) {
+    GELOGE(FAILED, "Update output desc fail.");
+    return FAILED;
+  }
+  return SUCCESS;
 }
 
 ///
 /// @ingroup ge
 /// @brief Update Data node in Subgraph.
 /// @param [in] const NodePtr &data: data in Subgraph.
-/// @param [in] size_t index: The batch index.
+/// @param [in] size_t batch_index: The batch index.
 /// @return 0: SUCCESS / others: FAILED
 ///
-Status MultiBatchClonePass::UpdateSubgraphData(const NodePtr &data, size_t index) {
+Status MultiBatchClonePass::UpdateSubgraphData(const NodePtr &data, size_t batch_index) {
   int node_index = -1;
   if (!AttrUtils::GetInt(data->GetOpDesc(), ATTR_NAME_INDEX, node_index)) {
     GELOGE(FAILED, "Failed to get index from data[%s]", data->GetName().c_str());
@@ -545,6 +896,8 @@ Status MultiBatchClonePass::UpdateSubgraphData(const NodePtr &data, size_t index
 
   auto data_shape = NodeUtils::GetOutputDesc(*data, kDataOutIndex).GetShape();
   const auto &dims = data_shape.GetDims();
+  GELOGD("Start update shape of %s , batch index is %zu, dims is %s.", data->GetName().c_str(), batch_index,
+         formats::JoinToString(dims).c_str());
   if (std::all_of(dims.begin(), dims.end(), [](int64_t val) { return val >= 0; })) {
     return SUCCESS;
   }
@@ -559,35 +912,77 @@ Status MultiBatchClonePass::UpdateSubgraphData(const NodePtr &data, size_t index
   }
 
   auto parent_name = data_name.substr(0, pos);
-  return SetShapeToData(data_to_dynamic_info_.at(parent_name).at(index), data, data_shape);
+  return SetShapeToData(data_to_dynamic_info_.at(parent_name).at(batch_index), data, data_shape, kDataOutIndex);
 }
 
-///
-/// @ingroup ge
-/// @brief Set max shape to Data node in root graph.
-/// @param [in] const std::vector<int64_t> &shapes: dims of shape.
-/// @param [in] const NodePtr &data: data in Root/Case graph.
-/// @param [in] GeShape &data_shape: dims of data node.
-/// @return 0: SUCCESS / others: FAILED
-///
-Status MultiBatchClonePass::SetShapeToData(const vector<int64_t> &shapes, const NodePtr &data, GeShape &data_shape) {
-  // must not be error, the calc result has been checked in function InsertSwitchNForData
-  if (multibatch::CalcShape(shapes, data_shape) != SUCCESS) {
-    return INTERNAL_ERROR;
+Status MultiBatchClonePass::CreateOriGraph(const ComputeGraphPtr &graph) {
+  if (data_count_from_getnext_ == 0) {
+    GELOGD("No need to change original graph without getnext node.");
+    return SUCCESS;
   }
-
-  if (NodeUtils::UpdateInputShape(*data, kDataInIndex, data_shape) != GRAPH_SUCCESS) {
-    GELOGE(INTERNAL_ERROR, "Failed to update input shape for data %s", data->GetName().c_str());
-    return INTERNAL_ERROR;
+  GELOGD("Start change original graph: %s when exit getnext node.", graph->GetName().c_str());
+  size_t data_index = all_data_nodes_.size() - kNumOfGetnextNode;
+  for (const auto &node : graph->GetDirectNode()) {
+    if (IsGetNextType(node)) {
+      for (size_t out_index = 0; out_index < data_count_from_getnext_; ++out_index, ++data_index) {
+        auto out_data_anchor =  node->GetOutDataAnchor(out_index);
+        GE_IF_BOOL_EXEC(out_data_anchor == nullptr, continue);
+        NodePtr data_node = CreateDataNode(graph, out_data_anchor, data_index);
+        GE_IF_BOOL_EXEC(data_node == nullptr, GELOGE(INTERNAL_ERROR, "Create %zu data node failed.",
+                                                     out_data_anchor->GetIdx()); return INTERNAL_ERROR);
+        for (auto &in_anchor : out_data_anchor->GetPeerInDataAnchors()) {
+          GE_IF_BOOL_EXEC(in_anchor == nullptr, continue);
+          NodePtr dst_node = in_anchor->GetOwnerNode();
+          if (GraphUtils::RemoveEdge(out_data_anchor, in_anchor) != GRAPH_SUCCESS) {
+            GELOGE(INTERNAL_ERROR, "Failed to remove edge between %s to %s", node->GetName().c_str(),
+                   dst_node->GetName().c_str());
+            return INTERNAL_ERROR;
+          }
+          if (GraphUtils::AddEdge(data_node->GetOutDataAnchor(0), dst_node->GetInDataAnchor(in_anchor->GetIdx())) !=
+              GRAPH_SUCCESS) {
+            GELOGE(INTERNAL_ERROR, "Failed to add edge between %s to %s", data_node->GetName().c_str(),
+                   dst_node->GetName().c_str());
+            return INTERNAL_ERROR;
+          }
+        }
+      }
+      if (graph->RemoveNode(node) != GRAPH_SUCCESS) {
+        GELOGE(GRAPH_FAILED, "Remove node %s failed!", node->GetName().c_str());
+        return GRAPH_FAILED;
+      }
+      break;
+    }
   }
+  return SUCCESS;
+}
 
-  if (NodeUtils::UpdateOutputShape(*data, kDataOutIndex, data_shape) != GRAPH_SUCCESS) {
-    GELOGE(INTERNAL_ERROR, "Failed to update output shape for data %s", data->GetName().c_str());
-    return INTERNAL_ERROR;
+NodePtr MultiBatchClonePass::CreateDataNode(const ComputeGraphPtr &graph, const OutDataAnchorPtr &out_data_anchor,
+                                            size_t data_index) {
+  size_t out_anchor_index = out_data_anchor->GetIdx();
+  std::string node_name = out_data_anchor->GetOwnerNode()->GetName() + "_" +  std::to_string(out_anchor_index);
+  OpDescPtr op_desc = MakeShared<OpDesc>(node_name, DATA);
+  if (op_desc == nullptr) {
+    GELOGE(OUT_OF_MEMORY, "Create data node failed.");
+    return nullptr;
   }
+  (void)AttrUtils::SetInt(op_desc, ATTR_NAME_INDEX, data_index);
 
-  GELOGI("Update %s input/output shape to %s", data->GetName().c_str(), formats::ShapeToString(data_shape).c_str());
-  return SUCCESS;
+  OpDescPtr getnext_op_desc = out_data_anchor->GetOwnerNode()->GetOpDesc();
+  if (getnext_op_desc == nullptr) {
+    GELOGE(OUT_OF_MEMORY, "Op desc of %s is nullptr.", out_data_anchor->GetOwnerNode()->GetName().c_str());
+    return nullptr;
+  }
+  if (op_desc->AddInputDesc(getnext_op_desc->GetOutputDesc(out_anchor_index)) != GRAPH_SUCCESS) {
+    GELOGE(INTERNAL_ERROR, "Add %s input desc failed.", op_desc->GetName().c_str());
+    return nullptr;
+  }
+  if (op_desc->AddOutputDesc(getnext_op_desc->GetOutputDesc(out_anchor_index)) != GRAPH_SUCCESS) {
+    GELOGE(INTERNAL_ERROR, "Add %s output desc failed.", op_desc->GetName().c_str());
+    return nullptr;
+  }
+  NodePtr data_node = graph->AddNode(op_desc);
+  GELOGD("Success create %s node.", data_node->GetName().c_str());
+  return data_node;
 }
 
 ///
@@ -598,17 +993,14 @@ Status MultiBatchClonePass::SetShapeToData(const vector<int64_t> &shapes, const
 /// @return 0: SUCCESS / others: FAILED
 ///
 Status MultiBatchClonePass::CreateSubgraphs(const ComputeGraphPtr &graph, const ComputeGraphPtr &branch) {
+  GELOGD("Start create subgraphs for %s.", graph->GetName().c_str());
   const auto &op_desc = case_node_->GetOpDesc();
   for (size_t i = 0; i < batch_shapes_.size(); ++i) {
     std::vector<NodePtr> input_nodes;
     std::vector<NodePtr> output_nodes;
     const std::string postfix = kMultiBatchNodePostfix + std::to_string(i);
     ComputeGraphPtr subgraph = (i == 0) ? branch : GraphUtils::CloneGraph(branch, postfix, input_nodes, output_nodes);
-    if (subgraph == nullptr) {
-      GELOGE(FAILED, "Create multi-batch case node failed");
-      return FAILED;
-    }
-
+    GE_IF_BOOL_EXEC(subgraph == nullptr, GELOGE(FAILED, "Create multi-batch case node failed"); return FAILED);
     subgraph->SetName("Batch_" + std::to_string(i));
     subgraph->SetParentNode(case_node_);
     subgraph->SetParentGraph(graph);
@@ -621,6 +1013,7 @@ Status MultiBatchClonePass::CreateSubgraphs(const ComputeGraphPtr &graph, const
     op_desc->AddSubgraphName(key_name);
     op_desc->SetSubgraphInstanceName(i, subgraph->GetName());
 
+    GELOGD("The %s has %zu input, %zu output.", subgraph->GetName().c_str(), input_nodes.size(), output_nodes.size());
     for (const auto &data : input_nodes) {
       GE_CHK_STATUS_RET(UpdateSubgraphData(data, i), "Update %s failed", subgraph->GetName().c_str());
     }
@@ -666,6 +1059,7 @@ Status MultiBatchClonePass::UpdateSubgraphOutput(const NodePtr &output_node) {
 /// @return 0: SUCCESS / others: FAILED
 ///
 Status MultiBatchClonePass::PruneDirectOutput(const ComputeGraphPtr &graph) {
+  GELOGD("Start prune direct output.");
   const auto &func_desc = case_node_->GetOpDesc();
   uint32_t unused_num = 0;
   uint32_t output_num = func_desc->GetOutputsSize();
@@ -710,6 +1104,7 @@ Status MultiBatchClonePass::PruneDirectOutput(const ComputeGraphPtr &graph) {
 ///
 Status MultiBatchClonePass::UpdateOutputTensor(uint32_t parent_index, uint32_t unused_num) {
   if (unused_num == 0) {
+    GELOGD("No need to update output tensor.");
     return SUCCESS;
   }
 

ge/graph/passes/multi_batch_clone_pass.h

@@ -36,6 +36,7 @@ class MultiBatchClonePass : public GraphPass {
   /// @return 0: SUCCESS / others: FAILED
   ///
   Status CollectIoNodes(const ComputeGraphPtr &graph);
+  Status InitParamsOfGetNext(const NodePtr &node);
 
   ///
   /// @ingroup ge
@@ -49,10 +50,12 @@ class MultiBatchClonePass : public GraphPass {
   /// @ingroup ge
   /// @brief Create index data node for root graph.
   /// @param [in] const ComputeGraphPtr &graph: Root/Case graph.
-  /// @param [in] NodePtr node: index data node.
+  /// @param [in] NodePtr shape_node: index data node, DATA or GETDYNAMICDIMS type.
   /// @return 0: SUCCESS / others: FAILED
   ///
-  Status CreateIndexDataNode(const ComputeGraphPtr &graph, NodePtr &node);
+  Status CreateIndexDataNode(const ComputeGraphPtr &graph, NodePtr &shape_node);
+
+  Status CreateGetDynamicDimsNode(const ComputeGraphPtr &graph, NodePtr &shape_node);
 
   ///
   /// @ingroup ge
@@ -70,6 +73,9 @@ class MultiBatchClonePass : public GraphPass {
   /// @return 0: SUCCESS / others: FAILED
   ///
   Status CreateIndexNode(const ComputeGraphPtr &graph);
+  Status AddAttrForGetDynamicDims(const NodePtr &shape_node);
+  Status LinkGetNextToGetDynamicDims(const NodePtr &getnext_node, const NodePtr &shape_node);
+  Status LinkGetDynamicDimsToNetOutput(const NodePtr &output_node);
 
   ///
   /// @ingroup ge
@@ -78,39 +84,54 @@ class MultiBatchClonePass : public GraphPass {
   /// @return 0: SUCCESS / others: FAILED
   ///
   Status CreateInputNode(const ComputeGraphPtr &graph);
+  Status LinkEdgeForGetNext(const NodePtr &getnext_node, size_t &case_input_index);
 
   ///
   /// @ingroup ge
-  /// @brief Create Const node for root graph.
-  /// @param [in] const ComputeGraphPtr &graph: Root/Case graph.
+  /// @brief Set max shape to Data node in root graph.
+  /// @param [in] const NodePtr &data: data in Root/Case graph.
   /// @return 0: SUCCESS / others: FAILED
   ///
-  Status CreateConstNode(const ComputeGraphPtr &graph);
+  Status SetMaxShape(const NodePtr &data);
+  Status SetMaxShapeToData(const NodePtr &node, size_t out_anchor_index);
+  ///
+  /// @ingroup ge
+  /// @brief Set max shape to Data/GetNext node in root graph.
+  /// @param [in] const std::vector<int64_t> &shapes: dims of shape.
+  /// @param [in] const NodePtr &data: data in Root/Case graph.
+  /// @param [in] GeShape &data_shape: dims of data node.
+  /// @param [in] size_t out_anchor_index: out anchor index of data node.
+  /// @return 0: SUCCESS / others: FAILED
+  ///
+  Status SetShapeToData(const std::vector<int64_t> &shapes, const NodePtr &data, GeShape &data_shape,
+                        size_t out_anchor_index);
+  Status UpdateShapeOfShapeNode(const NodePtr &node, size_t out_anchor_index);
 
   ///
   /// @ingroup ge
-  /// @brief Create output node for root graph.
+  /// @brief Create Const node for root graph.
   /// @param [in] const ComputeGraphPtr &graph: Root/Case graph.
   /// @return 0: SUCCESS / others: FAILED
   ///
-  Status CreateOutputNode(const ComputeGraphPtr &graph);
+  Status CreateConstNode(const ComputeGraphPtr &graph);
+  void ChangeConstToData();
 
   ///
   /// @ingroup ge
-  /// @brief Set max shape to Data node in root graph.
-  /// @param [in] const NodePtr &data: data in Root/Case graph.
+  /// @brief Create output node for root graph.
+  /// @param [in] const ComputeGraphPtr &graph: Root/Case graph.
   /// @return 0: SUCCESS / others: FAILED
   ///
-  Status SetMaxShapeToData(const NodePtr &data);
+  Status CreateOutputNode(const ComputeGraphPtr &graph);
 
   ///
   /// @ingroup ge
   /// @brief Update Data node in Subgraph.
   /// @param [in] const NodePtr &data: data in Subgraph.
-  /// @param [in] size_t index: The batch index.
+  /// @param [in] size_t batch_index: The batch index.
   /// @return 0: SUCCESS / others: FAILED
   ///
-  Status UpdateSubgraphData(const NodePtr &data, size_t index);
+  Status UpdateSubgraphData(const NodePtr &data, size_t batch_index);
 
   ///
   /// @ingroup ge
@@ -122,13 +143,12 @@ class MultiBatchClonePass : public GraphPass {
 
   ///
   /// @ingroup ge
-  /// @brief Set max shape to Data node in root graph.
-  /// @param [in] const std::vector<int64_t> &shapes: dims of shape.
-  /// @param [in] const NodePtr &data: data in Root/Case graph.
-  /// @param [in] GeShape &data_shape: dims of data node.
+  /// @brief Create nodes for root graph.
+  /// @param [in] const ComputeGraphPtr &graph: Original graph.
   /// @return 0: SUCCESS / others: FAILED
   ///
-  Status SetShapeToData(const std::vector<int64_t> &shapes, const NodePtr &data, GeShape &data_shape);
+  Status CreateOriGraph(const ComputeGraphPtr &graph);
+  NodePtr CreateDataNode(const ComputeGraphPtr &graph, const OutDataAnchorPtr &out_data_anchor, size_t data_index);
 
   ///
   /// @ingroup ge
@@ -168,6 +188,10 @@ class MultiBatchClonePass : public GraphPass {
   std::map<string, vector<vector<int64_t>>> data_to_dynamic_info_;
 
   NodePtr case_node_;
+  size_t data_count_from_getnext_ = 0;
+  bool getnext_sink_dynamic_dims_ = false;
+  NodePtr shape_node_;
+  std::set<NodePtr> out_control_nodes_;
 };
 }  // namespace ge
 #endif  // GE_GRAPH_PASSES_MULTI_BATCH_CLONE_PASS_H_

ge/graph/passes/unused_args_clean_pass.cc

@@ -204,6 +204,10 @@ Status UnusedArgsCleanPass::RemoveInputTensor(const map<ComputeGraphPtr, map<uin
   GE_CHK_GRAPH_STATUS_RET(GraphUtils::RemoveEdge(out_anchor, old_anchor), "Remove edge failed");
   GELOGI("Remove edge: %s %s", out_node->GetName().c_str(), func_node->GetName().c_str());
 
+  if (out_node->GetInDataNodes().size() == 0 && out_node->GetOutAllNodes().size() == 0) {
+    GE_CHK_GRAPH_STATUS_RET(out_node->GetOwnerComputeGraph()->RemoveNode(out_node), "Remove node failed: %s",
+                            out_node->GetName().c_str());
+  }
   return SUCCESS;
 }
 }  // namespace ge

ge/graph/preprocess/multi_batch_copy_graph.cc

@@ -1692,13 +1692,11 @@ Status MultiBatchGraphCopyer::LinkToNodeOutBranch(const NodePtr &node) {
 }
 
 Status ProcessMultiBatch(ComputeGraphPtr &graph) {
-  if (GetLocalOmgContext().dynamic_node_type.empty()) {
-    const char *multi_batch_with_switchn = std::getenv("MULTI_BATCH_WITH_SWITCHN");
-    if (multi_batch_with_switchn == nullptr) {
-      PassManager pass_manager;
-      GE_CHK_STATUS_RET(pass_manager.AddPass("MultiBatchClonePass", new (std::nothrow) MultiBatchClonePass));
-      return pass_manager.Run(graph);
-    }
+  const char *multi_batch_with_switchn = std::getenv("MULTI_BATCH_WITH_SWITCHN");
+  if (multi_batch_with_switchn == nullptr) {
+    PassManager pass_manager;
+    GE_CHK_STATUS_RET(pass_manager.AddPass("MultiBatchClonePass", new (std::nothrow) MultiBatchClonePass));
+    return pass_manager.Run(graph);
   }
   if (!GetLocalOmgContext().need_multi_batch) {
     GELOGI("No need to process_multi for no_train graph.");

ge/graph/preprocess/multi_batch_options.cc

@@ -99,9 +99,8 @@ Status DistinguishGetNextAndData(ComputeGraphPtr &graph, vector<NodePtr> &data_n
   }
   GELOGI("Data count is %zu, getnext nosink count is %zu, getnext sink count is %zu.", data_nodes.size(),
          getnext_nosink_nodes.size(), getnext_sink_nodes.size());
-  GE_IF_BOOL_EXEC(!graph->SetExtAttr(kExtAttrDataNodes, data_nodes), GELOGW("Set data nodes attr failed.");)
-  GE_IF_BOOL_EXEC(!graph->SetExtAttr(kExtAttrGetNextNoSink, getnext_nosink_nodes),
-                  GELOGW("Set getnext nosink nodes attr failed.");)
+  GetLocalOmgContext().data_nodes = data_nodes;
+  GetLocalOmgContext().getnext_nosink_nodes = getnext_nosink_nodes;
   return SUCCESS;
 }
 

inc/framework/omg/omg_inner_types.h

@@ -26,6 +26,7 @@
 #include <vector>
 #include "framework/common/fmk_error_codes.h"
 #include "register/register_fmk_types.h"
+#include "graph/node.h"
 
 using domi::DOMI_TENSOR_ND;
 using domi::DOMI_TENSOR_RESERVED;
@@ -120,6 +121,8 @@ struct OmgContext {
   std::vector<std::vector<int64_t>> user_real_input_dims;
   std::vector<int64_t> cur_dynamic_dims;
   bool need_multi_batch = false;
+  std::vector<NodePtr> data_nodes;
+  std::vector<NodePtr> getnext_nosink_nodes;
 };
 }  // namespace ge
 

metadef

@@ -1 +1 @@
-Subproject commit 44bcbb5ea25ada1a5393aa4c7f554d40b6859b18
+Subproject commit fe37bc343ea52c76d35e9e9ec83cea0151bfa900

parser

@@ -1 +1 @@
-Subproject commit 5b93b050dd7ca5b77c3001a790031d877fa10956
+Subproject commit 336cd3107253d3fe41cfb9fec2db62b5f3d8a33b

tests/ut/ge/CMakeLists.txt

@@ -627,6 +627,7 @@ set(PASS_TEST_FILES
     "graph/passes/net_output_pass_unittest.cc"
     "graph/passes/no_use_reshape_remove_pass_unittest.cc"
     "graph/passes/infershape_pass_unittest.cc"
+	"graph/passes/multi_batch_clone_pass_unittest.cc"
 )
 
 set(KERNEL_TEST_FILES

tests/ut/ge/graph/load/davinci_model_unittest.cc

@@ -32,6 +32,18 @@ class UtestDavinciModel : public testing::Test {
   void SetUp() {}
 
   void TearDown() {}
+  public:
+    NodePtr MakeNode(const ComputeGraphPtr &graph, uint32_t in_num, uint32_t out_num, string name, string type) {
+      GeTensorDesc test_desc(GeShape(), FORMAT_NCHW, DT_FLOAT);
+      auto op_desc = std::make_shared<OpDesc>(name, type);
+      for (auto i = 0; i < in_num; ++i) {
+        op_desc->AddInputDesc(test_desc);
+      }
+      for (auto i = 0; i < out_num; ++i) {
+        op_desc->AddOutputDesc(test_desc);
+      }
+      return graph->AddNode(op_desc);
+    }
 };
 
 TEST_F(UtestDavinciModel, init_success) {
@@ -324,5 +336,94 @@ TEST_F(UtestDavinciModel, SyncVarData_test) {
   EXPECT_NE(model.SyncVarData(), SUCCESS);
 }
 
+TEST_F(UtestDavinciModel, InitRealSizeAndShapeInfo_succ1) {
+  DavinciModel model(0, nullptr);
+  model.ge_model_ = make_shared<GeModel>();
+  ComputeGraphPtr graph = make_shared<ComputeGraph>("default");
+
+  GeTensorDesc tensor(GeShape(), FORMAT_NCHW, DT_FLOAT);
+  OpDescPtr op_output = CreateOpDesc("output_ascend_mbatch_batch_1", NETOUTPUT);
+  op_output->AddInputDesc(tensor);
+  op_output->SetInputOffset({1024});
+  NodePtr node_output = graph->AddNode(op_output);
+  EXPECT_EQ(model.InitRealSizeAndShapeInfo(graph, node_output), SUCCESS);
+}
+
+TEST_F(UtestDavinciModel, InitRealSizeAndShapeInfo_succ2) {
+  DavinciModel model(0, nullptr);
+  ComputeGraphPtr graph = std::make_shared<ComputeGraph>("test_graph");
+
+  OpDescPtr data1 = CreateOpDesc("data1", DATA);
+  GeTensorDesc shape_desc(GeShape({4,3,224,224}), FORMAT_NCHW, DT_FLOAT);
+  data1->AddInputDesc(shape_desc);
+  data1->AddOutputDesc(shape_desc);
+  NodePtr data1_node = graph->AddNode(data1);
+
+  OpDescPtr case_node = CreateOpDesc("case1", CASE);
+  GeTensorDesc tensor(GeShape(), FORMAT_NCHW, DT_FLOAT);
+  case_node->AddInputDesc(tensor);
+  case_node->AddOutputDesc(tensor);
+  NodePtr case1_node = graph->AddNode(case_node);
+
+  OpDescPtr output = CreateOpDesc("output1", NETOUTPUT);
+  output->AddInputDesc(tensor);
+  output->SetSrcName( { "case1" } );
+  output->SetSrcIndex( { 0 } );
+  NodePtr output_node = graph->AddNode(output);
+
+  GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0), case1_node->GetInDataAnchor(0));
+  GraphUtils::AddEdge(case1_node->GetOutDataAnchor(0), output_node->GetInDataAnchor(0));
+  
+  (void)AttrUtils::SetStr(output_node->GetOpDesc(), ATTR_ALL_GEARS_INFO, "1;2;4;8");
+  (void)AttrUtils::SetBool(case_node, ATTR_INSERT_BY_MBATCH, true);
+
+  model.is_getnext_sink_dynamic_ = false;
+  model.is_online_infer_dynamic_ = true;
+  auto ret = model.InitRealSizeAndShapeInfo(graph, output_node);
+  // GetGearAndRealOutShapeInfo without ATTR_NAME_DYNAMIC_OUTPUT_DIMS
+  EXPECT_EQ(ret, SUCCESS);
+  vector<string> dynamic_output_dims = {"0,0,1,1,0,2,2,0,4,3,0,8"};
+  (void)AttrUtils::SetListStr(output_node->GetOpDesc(), ATTR_NAME_DYNAMIC_OUTPUT_DIMS, dynamic_output_dims);
+  ret = model.InitRealSizeAndShapeInfo(graph, output_node);
+  EXPECT_EQ(ret, SUCCESS);
+}
+
+TEST_F(UtestDavinciModel, InitRealSizeAndShapeInfo_succ3) {
+  DavinciModel model(0, nullptr);
+  ComputeGraphPtr graph = std::make_shared<ComputeGraph>("test_graph");
+
+  OpDescPtr data1 = CreateOpDesc("data1", DATA);
+  GeTensorDesc shape_desc(GeShape({4,3,224,224}), FORMAT_NCHW, DT_FLOAT);
+  data1->AddInputDesc(shape_desc);
+  data1->AddOutputDesc(shape_desc);
+  NodePtr data1_node = graph->AddNode(data1);
+
+  OpDescPtr shape_node = CreateOpDesc("ascend_mbatch_get_dynamic_dims_node", GETDYNAMICDIMS);
+  GeTensorDesc in_tensor(GeShape(), FORMAT_NCHW, DT_FLOAT);
+  GeTensorDesc out_tensor(GeShape({4,3}), FORMAT_NCHW, DT_FLOAT);
+  shape_node->AddInputDesc(in_tensor);
+  shape_node->AddOutputDesc(out_tensor);
+  NodePtr get_dynamic_dims_node = graph->AddNode(shape_node);
+
+  OpDescPtr output = CreateOpDesc("output1", NETOUTPUT);
+  GeTensorDesc tensor(GeShape(), FORMAT_NCHW, DT_FLOAT);
+  output->AddInputDesc(tensor);
+  output->SetSrcName( { "data1", "ascend_mbatch_get_dynamic_dims_node" } );
+  output->SetSrcIndex( { 0, 1 } );
+  NodePtr output_node = graph->AddNode(output);
+  GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0), output_node->GetInDataAnchor(0));
+  GraphUtils::AddEdge(get_dynamic_dims_node->GetOutDataAnchor(0), output_node->GetInDataAnchor(1));
+
+  (void)AttrUtils::SetStr(output_node->GetOpDesc(), ATTR_ALL_GEARS_INFO, "1,3;;4,3;,3");
+
+  model.is_getnext_sink_dynamic_ = true;
+  model.is_online_infer_dynamic_ = false;
+  auto ret = model.InitRealSizeAndShapeInfo(graph, output_node);
+  EXPECT_EQ(ret, SUCCESS);
+  model.runtime_param_.mem_base = (uint8_t *)0x08000000;
+  model.runtime_param_.mem_size = 4;
+  ret = model.InitRealSizeAndShapeInfo(graph, output_node);
+  EXPECT_EQ(ret, SUCCESS);
+}
 
 }  // namespace ge

tests/ut/ge/graph/passes/multi_batch_clone_pass_unittest.cc

@@ -0,0 +1,247 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "graph/passes/multi_batch_clone_pass.h"
+
+#include <gtest/gtest.h>
+#include <set>
+#include <string>
+
+#include "inc/pass_manager.h"
+#include "graph/utils/tensor_utils.h"
+#include "graph/common/local_context.h"
+#include "graph/passes/multi_batch_pass.h"
+#include "graph/preprocess/multi_batch_copy_graph.h"
+#include "graph/preprocess/insert_op/util_insert_aipp_op.h"
+#include "framework/omg/omg_inner_types.h"
+#include "register/op_registry.h"
+
+
+namespace ge{
+class UtestMultiBatchClonePass : public testing::Test {
+protected:
+  void SetUp() {
+    SetLocalOmgContext(domi::GetContext());
+    GetLocalOmgContext().dynamic_image_size.clear();
+    GetLocalOmgContext().dynamic_batch_size.clear();
+  }
+  void TearDown() {
+    GetLocalOmgContext().dynamic_image_size.clear();
+    GetLocalOmgContext().dynamic_batch_size.clear();
+    GetLocalOmgContext().dynamic_node_type.clear();
+  }
+
+public:
+  NodePtr MakeNode(const ComputeGraphPtr &graph, uint32_t in_num, uint32_t out_num, string name, string type) {
+    GeTensorDesc test_desc(GeShape(), FORMAT_NCHW, DT_FLOAT);
+    auto op_desc = std::make_shared<OpDesc>(name, type);
+    for (auto i = 0; i < in_num; ++i) {
+      op_desc->AddInputDesc(test_desc);
+    }
+    for (auto i = 0; i < out_num; ++i) {
+      op_desc->AddOutputDesc(test_desc);
+    }
+    return graph->AddNode(op_desc);
+  }
+
+  NodePtr MakeConstNode(const ComputeGraphPtr &graph) {
+    static uint32_t index = 0;
+    GeTensorDesc test_desc(GeShape(), FORMAT_NCHW, DT_FLOAT);
+    auto op_desc = std::make_shared<OpDesc>("dynamic_const_" + std::to_string(index++), "Const");
+    op_desc->AddOutputDesc(test_desc);
+    return graph->AddNode(op_desc);
+  }
+
+  void make_original_graph(const ComputeGraphPtr &graph) {
+    auto conv2d_node = MakeNode(graph, 3, 1, "conv1", "Conv2D");
+    {
+      auto data1 = MakeNode(graph, 1, 1, "data", "Data");
+      GeTensorDesc tensor_desc(GeShape({-1,3,224,224}), FORMAT_NCHW, DT_FLOAT);
+      data1->GetOpDesc()->UpdateInputDesc(0, tensor_desc);
+      data1->GetOpDesc()->UpdateOutputDesc(0, tensor_desc);
+      AttrUtils::SetInt(data1->GetOpDesc(), ATTR_NAME_INDEX, 0);
+      GetLocalOmgContext().user_input_dims = {std::make_pair(data1->GetOpDesc()->GetName(), vector<int64_t>{-1,3,224,224})};
+
+      GraphUtils::AddEdge(data1->GetOutDataAnchor(0), conv2d_node->GetInDataAnchor(0));
+      auto const1 = MakeConstNode(graph);
+      GraphUtils::AddEdge(const1->GetOutDataAnchor(0), conv2d_node->GetInDataAnchor(1));
+      auto const2 = MakeConstNode(graph);
+      GraphUtils::AddEdge(const2->GetOutDataAnchor(0), conv2d_node->GetInDataAnchor(2));
+    }
+
+    auto bn_conv1 = MakeNode(graph, 4, 1, "bn_conv1", "BNInference");
+    {
+      GraphUtils::AddEdge(conv2d_node->GetOutDataAnchor(0), bn_conv1->GetInDataAnchor(0));
+      auto const1 = MakeConstNode(graph);
+      GraphUtils::AddEdge(const1->GetOutDataAnchor(0), bn_conv1->GetInDataAnchor(1));
+      auto const2 = MakeConstNode(graph);
+      GraphUtils::AddEdge(const2->GetOutDataAnchor(0), bn_conv1->GetInDataAnchor(2));
+      auto const3= MakeConstNode(graph);
+      GraphUtils::AddEdge(const3->GetOutDataAnchor(0), bn_conv1->GetInDataAnchor(3));
+    }
+
+    auto scale_conv1 = MakeNode(graph, 4, 1, "scale1", "Scale");
+    {
+      GraphUtils::AddEdge(bn_conv1->GetOutDataAnchor(0), scale_conv1->GetInDataAnchor(0));
+      auto const1 = MakeConstNode(graph);
+      GraphUtils::AddEdge(const1->GetOutDataAnchor(0), scale_conv1->GetInDataAnchor(1));
+      auto const2 = MakeConstNode(graph);
+      GraphUtils::AddEdge(const2->GetOutDataAnchor(0), scale_conv1->GetInDataAnchor(2));
+    }
+
+    auto output_node = MakeNode(graph, 1, 0, "output1", "NetOutput");
+    GraphUtils::AddEdge(scale_conv1->GetOutDataAnchor(0), output_node->GetInDataAnchor(0));
+  }
+
+  void GraphWithJustData(const ComputeGraphPtr &graph) {
+    auto conv2d_node = MakeNode(graph, 3, 1, "conv1", "Conv2D");
+    {
+      auto data1 = MakeNode(graph, 1, 1, "data", "Data");
+      GeTensorDesc tensor_desc(GeShape({-1,3,224,224}), FORMAT_NCHW, DT_FLOAT);
+      data1->GetOpDesc()->UpdateInputDesc(0, tensor_desc);
+      data1->GetOpDesc()->UpdateOutputDesc(0, tensor_desc);
+      AttrUtils::SetInt(data1->GetOpDesc(), ATTR_NAME_INDEX, 0);
+      GetLocalOmgContext().user_input_dims = {std::make_pair(data1->GetOpDesc()->GetName(), vector<int64_t>{-1,3,224,224})};
+
+      GraphUtils::AddEdge(data1->GetOutDataAnchor(0), conv2d_node->GetInDataAnchor(0));
+      auto const1 = MakeConstNode(graph);
+      GraphUtils::AddEdge(const1->GetOutDataAnchor(0), conv2d_node->GetInDataAnchor(1));
+      auto const2 = MakeConstNode(graph);
+      GraphUtils::AddEdge(const2->GetOutDataAnchor(0), conv2d_node->GetInDataAnchor(2));
+    }
+
+    auto output_node = MakeNode(graph, 1, 0, "output1", "NetOutput");
+    GraphUtils::AddEdge(conv2d_node->GetOutDataAnchor(0), output_node->GetInDataAnchor(0));
+  }
+
+  void GraphWithGetNextNosink(const ComputeGraphPtr &graph) {
+    auto conv2d_node = MakeNode(graph, 3, 1, "conv1", "Conv2D");
+    {
+      auto data1 = MakeNode(graph, 1, 1, "IteratorGetNext_data", "Data");
+      GeTensorDesc tensor_desc(GeShape({-1,3,224,224}), FORMAT_NCHW, DT_FLOAT);
+      data1->GetOpDesc()->UpdateInputDesc(0, tensor_desc);
+      data1->GetOpDesc()->UpdateOutputDesc(0, tensor_desc);
+      AttrUtils::SetInt(data1->GetOpDesc(), ATTR_NAME_INDEX, 0);
+      GetLocalOmgContext().user_input_dims = {std::make_pair(data1->GetOpDesc()->GetName(), vector<int64_t>{-1,3,224,224})};
+
+      GraphUtils::AddEdge(data1->GetOutDataAnchor(0), conv2d_node->GetInDataAnchor(0));
+      auto const1 = MakeConstNode(graph);
+      GraphUtils::AddEdge(const1->GetOutDataAnchor(0), conv2d_node->GetInDataAnchor(1));
+      auto const2 = MakeConstNode(graph);
+      GraphUtils::AddEdge(const2->GetOutDataAnchor(0), conv2d_node->GetInDataAnchor(2));
+    }
+
+    auto output_node = MakeNode(graph, 1, 0, "output1", "NetOutput");
+    GraphUtils::AddEdge(conv2d_node->GetOutDataAnchor(0), output_node->GetInDataAnchor(0));
+  }
+
+  // getnext has one data and has one out of shape
+  void GraphWithGetNextSink(const ComputeGraphPtr &graph) {
+    auto conv2d_node = MakeNode(graph, 3, 1, "conv1", "Conv2D");
+    {
+      auto data1 = MakeNode(graph, 1, 2, "data", "IteratorV2");
+      GeTensorDesc tensor_desc(GeShape({-1,3,224,224}), FORMAT_NCHW, DT_FLOAT);
+      GeTensorDesc shape_desc(GeShape({4,3,224,224}), FORMAT_NCHW, DT_FLOAT);
+      data1->GetOpDesc()->UpdateOutputDesc(0, tensor_desc);
+      data1->GetOpDesc()->UpdateOutputDesc(1, shape_desc);
+      AttrUtils::SetInt(data1->GetOpDesc(), ATTR_NAME_INDEX, 0);
+      GetLocalOmgContext().user_input_dims = {std::make_pair(data1->GetOpDesc()->GetName(), vector<int64_t>{-1,3,224,224})};
+
+      GraphUtils::AddEdge(data1->GetOutDataAnchor(0), conv2d_node->GetInDataAnchor(0));
+      auto identity = MakeNode(graph, 1, 0, "identity", "Identity");
+      GraphUtils::AddEdge(data1->GetOutDataAnchor(1), identity->GetInDataAnchor(0));
+      auto const1 = MakeConstNode(graph);
+      GraphUtils::AddEdge(const1->GetOutDataAnchor(0), conv2d_node->GetInDataAnchor(1));
+      auto const2 = MakeConstNode(graph);
+      GraphUtils::AddEdge(const2->GetOutDataAnchor(0), conv2d_node->GetInDataAnchor(2));
+    }
+
+    auto output_node = MakeNode(graph, 1, 0, "output1", "NetOutput");
+    GraphUtils::AddEdge(conv2d_node->GetOutDataAnchor(0), output_node->GetInDataAnchor(0));
+  }
+};
+
+// graph is nullptr
+TEST_F(UtestMultiBatchClonePass, graph_nullptr) {
+  PassManager pass_manager;
+  pass_manager.AddPass("MultiBatchClonePass", new (std::nothrow) MultiBatchClonePass);
+  ComputeGraphPtr graph;
+  EXPECT_EQ(pass_manager.Run(graph), PARAM_INVALID);
+}
+
+// graph with subgraph
+TEST_F(UtestMultiBatchClonePass, graph_with_subgraph) {
+  PassManager pass_manager;
+  pass_manager.AddPass("MultiBatchClonePass", new (std::nothrow) MultiBatchClonePass);
+  ComputeGraphPtr graph = std::make_shared<ComputeGraph>("test_graph");
+  make_original_graph(graph);
+  EXPECT_EQ(pass_manager.Run(graph), SUCCESS);
+
+  ComputeGraphPtr owner = std::make_shared<ComputeGraph>("test_owner");
+  auto func_node = MakeNode(owner, 3, 1, "test_if", "If");
+  graph->SetParentNode(func_node);
+  graph->SetParentGraph(owner);
+  EXPECT_EQ(pass_manager.Run(graph), SUCCESS);
+}
+
+//graph is uncompute graph, not need to do multi batch
+TEST_F(UtestMultiBatchClonePass, uncompute_graph) {
+  MultiBatchClonePass multi_batch_clone;
+  ComputeGraphPtr graph = std::make_shared<ComputeGraph>("test_graph");
+  make_original_graph(graph);
+  GetLocalOmgContext().need_multi_batch = false;
+  EXPECT_EQ(multi_batch_clone.Run(graph), SUCCESS);
+}
+
+
+//compute_graph with data from DATA
+TEST_F(UtestMultiBatchClonePass, compute_graph_with_data) {
+  MultiBatchClonePass multi_batch_clone;
+  ComputeGraphPtr graph = std::make_shared<ComputeGraph>("test_graph");
+  GraphWithJustData(graph);
+  GetLocalOmgContext().need_multi_batch = true;
+  EXPECT_EQ(multi_batch_clone.Run(graph), SUCCESS);
+  GetLocalOmgContext().dynamic_node_type = DATA;
+  GetLocalOmgContext().dynamic_dims = "1;2;4;8";
+  EXPECT_EQ(multi_batch_clone.Run(graph), SUCCESS);
+  EXPECT_EQ(GetLocalOmgContext().data_nodes.size(), 1);
+}
+
+//compute_graph with data from GetNext_nosink
+TEST_F(UtestMultiBatchClonePass, compute_graph_with_getnext_nosink) {
+  MultiBatchClonePass multi_batch_clone;
+  ComputeGraphPtr graph = std::make_shared<ComputeGraph>("test_graph");
+  GraphWithGetNextNosink(graph);
+  GetLocalOmgContext().need_multi_batch = true;
+  GetLocalOmgContext().dynamic_node_type = GETNEXT;
+  GetLocalOmgContext().dynamic_dims = "1;2;4;8";
+  EXPECT_EQ(multi_batch_clone.Run(graph), SUCCESS);
+  EXPECT_EQ(GetLocalOmgContext().getnext_nosink_nodes.size(), 1);
+}
+
+//compute_graph with data from GetNext_nosink
+TEST_F(UtestMultiBatchClonePass, compute_graph_with_getnext_sink) {
+  MultiBatchClonePass multi_batch_clone;
+  ComputeGraphPtr graph = std::make_shared<ComputeGraph>("test_graph");
+  GraphWithGetNextSink(graph);
+  GetLocalOmgContext().need_multi_batch = true;
+  GetLocalOmgContext().dynamic_node_type = GETNEXT;
+  GetLocalOmgContext().dynamic_dims = "1;2;4;8";
+  EXPECT_EQ(multi_batch_clone.Run(graph), SUCCESS);
+  EXPECT_EQ(GetLocalOmgContext().getnext_nosink_nodes.size(), 0);
+}
+
+}