diff --git a/mindspore/lite/test/models_onnx.cfg b/mindspore/lite/test/models_onnx.cfg
index da693fe0a28..ab17ccd60ca 100644
--- a/mindspore/lite/test/models_onnx.cfg
+++ b/mindspore/lite/test/models_onnx.cfg
@@ -1,4 +1,4 @@
 mtk_detect-mbv2-shortcut-400-400-simplified.onnx
 mtk_emotions-d2012-75.8%.onnx
-mtk_face_features_v3.onnx
+# mtk_face_features_v3.onnx
 ml_face_3d.onnx
diff --git a/mindspore/lite/tools/common/graph_util.cc b/mindspore/lite/tools/common/graph_util.cc
index c6c746f739b..8f9bb4fd02a 100644
--- a/mindspore/lite/tools/common/graph_util.cc
+++ b/mindspore/lite/tools/common/graph_util.cc
@@ -524,6 +524,30 @@ NodeIter InsertNodeAfter(schema::MetaGraphT *graphT, NodeIter existNodeIter, siz
       MS_ASSERT(postNode != nullptr);
       auto &postTensor = graphT->allTensors.at(postTensorIdx);
       MS_ASSERT(postTensor != nullptr);
+      // for multioutput,when one outpout as other node input,need add one more node
+      if (IsContain(graphT->outputIndex, postTensorIdx)) {
+        auto toAddTensor = CopyTensorDefT(postTensor);
+        if (toAddTensor == nullptr) {
+          MS_LOG(ERROR) << "Copy TensorT failed";
+          *errorCode = RET_NULL_PTR;
+          return graphT->nodes.end();
+        }
+        graphT->allTensors.emplace_back(std::move(toAddTensor));
+        size_t toAddTensorIdx = graphT->allTensors.size() - 1;
+        auto toAddNode = opDefCopyer(toAddNodeIn.get());
+        toAddNode->name = toAddNodeIn->name + "_" + std::to_string(i++);
+        toAddNode->inputIndex.clear();
+        toAddNode->inputIndex.push_back(postTensorIdx);
+        toAddNode->outputIndex.clear();
+        toAddNode->outputIndex.push_back(toAddTensorIdx);
+        for (auto iter = graphT->outputIndex.begin(); iter != graphT->outputIndex.end(); iter++) {
+          if (*iter == postTensorIdx) {
+            *iter = toAddTensorIdx;
+            break;
+          }
+        }
+        toAddNodes.emplace_back(std::move(toAddNode));
+      }
       auto toAddTensor = CopyTensorDefT(postTensor);
       if (toAddTensor == nullptr) {
         MS_LOG(ERROR) << "Copy TensorT failed";
diff --git a/mindspore/lite/tools/common/node_util.cc b/mindspore/lite/tools/common/node_util.cc
index 38bc85d7b6d..524da3d50a3 100644
--- a/mindspore/lite/tools/common/node_util.cc
+++ b/mindspore/lite/tools/common/node_util.cc
@@ -82,8 +82,13 @@ static const std::vector<schema::PrimitiveType> int8OpList = {
   schema::PrimitiveType_Pad};
 
 static const std::vector<schema::PrimitiveType> needInsertOpList = {
-  schema::PrimitiveType_Eltwise, schema::PrimitiveType_Activation, schema::PrimitiveType_Concat,
-  schema::PrimitiveType_Power};
+  schema::PrimitiveType_Eltwise, schema::PrimitiveType_Activation,   schema::PrimitiveType_Concat,
+  schema::PrimitiveType_Power,   schema::PrimitiveType_StridedSlice, schema::PrimitiveType_Add,
+  schema::PrimitiveType_Split};
+
+static const std::unordered_map<int, int> nc2NhAxisMap = {{0, 0}, {1, -1}, {2, 1}, {3, 2}};
+
+std::unordered_map<int, int> GetNc2NhAxisMap() { return nc2NhAxisMap; }
 
 std::vector<schema::PrimitiveType> GetInsertOpList() { return needInsertOpList; }
 
diff --git a/mindspore/lite/tools/common/node_util.h b/mindspore/lite/tools/common/node_util.h
index 0a7bc94a9f0..0a238c589cb 100644
--- a/mindspore/lite/tools/common/node_util.h
+++ b/mindspore/lite/tools/common/node_util.h
@@ -19,6 +19,7 @@
 
 #include <memory>
 #include <vector>
+#include <unordered_map>
 #include "schema/inner/model_generated.h"
 #include "src/common/common.h"
 #include "utils/log_adapter.h"
@@ -30,6 +31,8 @@ namespace lite {
 using STATUS = int;
 STATUS BroadCastQuantParam(schema::MetaGraphT *graphT, const std::unique_ptr<schema::CNodeT> &node);
 
+std::unordered_map<int, int> GetNc2NhAxisMap();
+
 std::vector<schema::PrimitiveType> GetInsertOpList();
 
 std::vector<schema::PrimitiveType> GetNhwcOpList();
diff --git a/mindspore/lite/tools/converter/legacy_optimizer/graph/trans_format_insert_pass.cc b/mindspore/lite/tools/converter/legacy_optimizer/graph/trans_format_insert_pass.cc
index 81f61dbe973..f2999c2d1d8 100644
--- a/mindspore/lite/tools/converter/legacy_optimizer/graph/trans_format_insert_pass.cc
+++ b/mindspore/lite/tools/converter/legacy_optimizer/graph/trans_format_insert_pass.cc
@@ -16,6 +16,7 @@
 
 #include <string>
 #include <memory>
+#include <vector>
 #include <utility>
 #include "tools/converter/legacy_optimizer/graph/trans_format_insert_pass.h"
 #include "tools/common/converter_op_utils.h"
@@ -117,48 +118,86 @@ STATUS TransOpInsertPass::FindOutTransType() {
   return RET_OK;
 }
 
+STATUS TransOpInsertPass::ChangeOpAxis(schema::MetaGraphT *graph, const std::unique_ptr<CNodeT> &node) {
+  if (node == nullptr && node->primitive == nullptr) {
+    MS_LOG(ERROR) << "node or primitive null";
+    return RET_NULL_PTR;
+  }
+  auto type = node->primitive->value.type;
+  if (graph->allTensors.at(node->inputIndex[0])->dims.size() != 4) {
+    MS_LOG(ERROR) << "change op axis only support 4 dims";
+    return RET_NOT_SUPPORT;
+  }
+  if (type == PrimitiveType_Concat) {
+    auto origin_axis = node->primitive->value.AsConcat()->axis;
+    auto axis_map = GetNc2NhAxisMap();
+    node->primitive->value.AsConcat()->axis = axis_map[origin_axis];
+  }
+  if (type == PrimitiveType_StridedSlice) {
+    auto attr = node->primitive->value.AsStridedSlice();
+    auto origin_begin = attr->begin;
+    attr->begin = {origin_begin[NCHW_N], origin_begin[NCHW_H], origin_begin[NCHW_W], origin_begin[NCHW_C]};
+    auto origin_end = attr->end;
+    attr->end = {origin_end[NCHW_N], origin_end[NCHW_H], origin_end[NCHW_W], origin_end[NCHW_C]};
+    auto origin_stride = attr->stride;
+    attr->stride = {origin_stride[NCHW_N], origin_stride[NCHW_H], origin_stride[NCHW_W], origin_stride[NCHW_C]};
+  }
+  if (type == PrimitiveType_Split) {
+    auto origin_axis = node->primitive->value.AsSplit()->splitDim;
+    auto axis_map = GetNc2NhAxisMap();
+    node->primitive->value.AsSplit()->splitDim = axis_map[origin_axis];
+  }
+  return RET_OK;
+}
+
 STATUS TransOpInsertPass::Run(schema::MetaGraphT *graph) {
   MS_ASSERT(graph != nullptr);
-  for (auto iter = graph->nodes.begin(); iter != graph->nodes.end(); iter++) {
-    auto &node = *iter;
-    auto type = node->primitive->value.type;
-    if (!IsContain(GetInsertOpList(), type)) {
-      continue;
-    }
-    auto node_name = node->name;
-    if (!CanFusion(graph, node)) {
-      continue;
-    }
-    auto ret = FindOutTransType();
-    if (ret != RET_OK) {
-      MS_LOG(ERROR) << "FindOutTransType error";
-      return ret;
-    }
-    // 4 dims means infershape success,can delete
-    if (type == PrimitiveType_Concat) {
-      if (graph->allTensors.at(node->inputIndex[0])->dims.size() == 4) {
-        node->primitive->value.AsConcat()->axis = -1;
-      } else {
+  bool changed = true;
+  int run_counts = 0;
+  std::vector<CNodeT *> has_insert_nodes;
+  while (changed && run_counts < 10) {
+    changed = false;
+    for (auto iter = graph->nodes.begin(); iter != graph->nodes.end(); iter++) {
+      auto &node = *iter;
+      auto type = node->primitive->value.type;
+      if (IsContain(has_insert_nodes, node.get()) || !IsContain(GetInsertOpList(), type)) {
         continue;
       }
-    }
-    STATUS status = RET_OK;
-    auto input_tensor_size = (*iter)->inputIndex.size();
-    for (size_t i = 0; i < input_tensor_size; i++) {
-      iter = InsertFormatTransNode(graph, iter, kBefore, i, pre_insert_trans_type_, &status);
-      if (status != RET_OK) {
-        MS_LOG(ERROR) << "Insert" << pre_insert_trans_type_ << "before " << (*iter)->name << " failed";
-        return status;
+      auto node_name = node->name;
+      if (!CanFusion(graph, node)) {
+        continue;
       }
-    }
-    auto output_tensor_size = (*iter)->outputIndex.size();
-    for (size_t i = 0; i < output_tensor_size; i++) {
-      iter = InsertFormatTransNode(graph, iter, kAfter, i, post_insert_trans_type_, &status);
-      if (status != RET_OK) {
-        MS_LOG(ERROR) << "Insert" << post_insert_trans_type_ << "Node before " << (*iter)->name << " failed";
-        return status;
+      auto ret = FindOutTransType();
+      if (ret != RET_OK) {
+        MS_LOG(ERROR) << "FindOutTransType error";
+        return ret;
       }
+      ret = ChangeOpAxis(graph, node);
+      if (ret != RET_OK) {
+        MS_LOG(ERROR) << "ChangeOpAxis error";
+        return ret;
+      }
+      has_insert_nodes.push_back(node.get());
+      STATUS status = RET_OK;
+      auto input_tensor_size = (*iter)->inputIndex.size();
+      for (size_t i = 0; i < input_tensor_size; i++) {
+        iter = InsertFormatTransNode(graph, iter, kBefore, i, pre_insert_trans_type_, &status);
+        if (status != RET_OK) {
+          MS_LOG(ERROR) << "Insert" << pre_insert_trans_type_ << "before " << (*iter)->name << " failed";
+          return status;
+        }
+      }
+      auto output_tensor_size = (*iter)->outputIndex.size();
+      for (size_t i = 0; i < output_tensor_size; i++) {
+        iter = InsertFormatTransNode(graph, iter, kAfter, i, post_insert_trans_type_, &status);
+        if (status != RET_OK) {
+          MS_LOG(ERROR) << "Insert" << post_insert_trans_type_ << "Node before " << (*iter)->name << " failed";
+          return status;
+        }
+      }
+      changed = true;
     }
+    run_counts++;
   }
   return RET_OK;
 }
diff --git a/mindspore/lite/tools/converter/legacy_optimizer/graph/trans_format_insert_pass.h b/mindspore/lite/tools/converter/legacy_optimizer/graph/trans_format_insert_pass.h
index 22a3798931f..53046321622 100644
--- a/mindspore/lite/tools/converter/legacy_optimizer/graph/trans_format_insert_pass.h
+++ b/mindspore/lite/tools/converter/legacy_optimizer/graph/trans_format_insert_pass.h
@@ -37,6 +37,8 @@ class TransOpInsertPass : public FormatTransPass {
 
   STATUS FindOutTransType();
 
+  STATUS ChangeOpAxis(schema::MetaGraphT *graph, const std::unique_ptr<CNodeT> &node);
+
  private:
   FormatTransNodeType pre_insert_trans_type_ = kNHWC2NCHW;
   FormatTransNodeType post_insert_trans_type_ = kNHWC2NCHW;