diff --git a/mindspore/lite/tools/optimizer/graph/node_infershape.cc b/mindspore/lite/tools/optimizer/graph/node_infershape.cc
index 658cccbdd4..041ab24761 100644
--- a/mindspore/lite/tools/optimizer/graph/node_infershape.cc
+++ b/mindspore/lite/tools/optimizer/graph/node_infershape.cc
@@ -109,6 +109,20 @@ tensor::TensorPtr NewTensorInfo(lite::Tensor *tensor) {
 }
 }  // namespace
 
+bool NodeInferShape::JudgeOpSupportInfer(const CNodePtr &cnode) {
+  MS_ASSERT(cnode != nullptr);
+  auto prim_t = lite::GetPrimitiveT(cnode->input(0));
+  if (prim_t == nullptr) {
+    return false;
+  }
+  auto parameter_gen = lite::PopulateRegistry::GetInstance()->GetParameterCreator(prim_t->value.type, lite::SCHEMA_CUR);
+  if (parameter_gen == nullptr) {
+    delete prim_t;
+    return false;
+  }
+  return true;
+}
+
 STATUS NodeInferShape::InferShape(const CNodePtr &cnode) {
   MS_ASSERT(cnode != nullptr);
   auto anf_prim = GetValueNode<std::shared_ptr<Primitive>>(cnode->input(0));
diff --git a/mindspore/lite/tools/optimizer/graph/node_infershape.h b/mindspore/lite/tools/optimizer/graph/node_infershape.h
index 8879ac5b81..8c73db960b 100644
--- a/mindspore/lite/tools/optimizer/graph/node_infershape.h
+++ b/mindspore/lite/tools/optimizer/graph/node_infershape.h
@@ -38,6 +38,7 @@ class NodeInferShape {
     train_flag_ = train_flag;
   }
   STATUS InferShape(const CNodePtr &cnode);
+  bool JudgeOpSupportInfer(const CNodePtr &cnode);
   std::vector<int> GetInputShape(const CNodePtr &cnode, size_t index);
   std::vector<int> GetIntVecInput(const CNodePtr &cnode, size_t index);
 
diff --git a/mindspore/lite/tools/optimizer/graph/unify_format_pass.cc b/mindspore/lite/tools/optimizer/graph/unify_format_pass.cc
index dd81a9490e..5d1dfafe7c 100644
--- a/mindspore/lite/tools/optimizer/graph/unify_format_pass.cc
+++ b/mindspore/lite/tools/optimizer/graph/unify_format_pass.cc
@@ -539,10 +539,7 @@ STATUS UnifyFormatPass::HandleGraphNode(const FuncGraphPtr &func_graph, const CN
     if (!need_reset_ && TransTransFusion(func_graph, cnode)) {
       return lite::RET_OK;
     }
-    std::unordered_map<AnfNodePtr, AnfNodePtr> match;
-    PreProcessFowardInsert(func_graph, cnode, &match);
     auto status = node_infer_shape_.InferShape(cnode);
-    PostProcessFowardInsert(func_graph, cnode, match);
     if (status != lite::RET_OK && status != lite::RET_INFER_INVALID) {
       MS_LOG(ERROR) << "infer shape failed: " << cnode->fullname_with_scope();
       return lite::RET_ERROR;
@@ -551,8 +548,6 @@ STATUS UnifyFormatPass::HandleGraphNode(const FuncGraphPtr &func_graph, const CN
   }
   auto before_perm = trans_info.pre_ == kNHWC2NCHW ? NH2NC : NC2NH;
   auto after_perm = trans_info.post_ == kNCHW2NHWC ? NC2NH : NH2NC;
-  std::unordered_map<AnfNodePtr, AnfNodePtr> match;
-  PreProcessFowardInsert(func_graph, cnode, &match);
   if (InsertPreTransNode(func_graph, cnode, before_perm) != lite::RET_OK) {
     MS_LOG(ERROR) << "insert pre node failed." << cnode->fullname_with_scope();
     return lite::RET_ERROR;
@@ -562,7 +557,6 @@ STATUS UnifyFormatPass::HandleGraphNode(const FuncGraphPtr &func_graph, const CN
     MS_LOG(ERROR) << "infer shape failed.";
     return lite::RET_ERROR;
   }
-  PostProcessFowardInsert(func_graph, cnode, match);
   if (InsertPostTransNode(func_graph, cnode, after_perm) != lite::RET_OK) {
     MS_LOG(ERROR) << "insert post node failed." << cnode->fullname_with_scope();
     return lite::RET_ERROR;
@@ -629,57 +623,9 @@ STATUS UnifyFormatPass::HandleGraphMultiNode(const FuncGraphPtr &func_graph, con
   return lite::RET_OK;
 }
 
-void UnifyFormatPass::PreProcessFowardInsert(const FuncGraphPtr &func_graph, const CNodePtr &cnode,
-                                             std::unordered_map<AnfNodePtr, AnfNodePtr> *match) {
-  MS_ASSERT(func_graph != nullptr && cnode != nullptr);
-  auto graph_name = GetValue<std::string>(func_graph->get_attr("graph_name"));
-  if (sub_inputs_map_.find(graph_name) == sub_inputs_map_.end()) {
-    return;
-  }
-  auto manager = func_graph->manager();
-  MS_ASSERT(manager != nullptr);
-  auto tr = manager->Transact();
-  for (size_t i = 1; i < cnode->size(); ++i) {
-    if (sub_inputs_map_[graph_name].find(cnode->input(i)) == sub_inputs_map_[graph_name].end()) {
-      continue;
-    }
-    match->insert(std::make_pair(sub_inputs_map_[graph_name][cnode->input(i)], cnode->input(i)));
-    tr.SetEdge(cnode, i, sub_inputs_map_[graph_name][cnode->input(i)]);
-    tr.Commit();
-  }
-}
-
-void UnifyFormatPass::PostProcessFowardInsert(const FuncGraphPtr &func_graph, const CNodePtr &cnode,
-                                              const std::unordered_map<AnfNodePtr, AnfNodePtr> &match) {
-  MS_ASSERT(func_graph != nullptr && cnode != nullptr);
-  if (match.empty()) {
-    return;
-  }
-  auto manager = func_graph->manager();
-  MS_ASSERT(manager != nullptr);
-  auto tr = manager->Transact();
-  for (size_t i = 1; i < cnode->size(); ++i) {
-    if (match.find(cnode->input(i)) != match.end()) {
-      tr.SetEdge(cnode, i, match.at(cnode->input(i)));
-      tr.Commit();
-    }
-    if (CheckPrimitiveType(cnode->input(i), prim::kPrimTranspose)) {
-      auto trans_cnode = cnode->input(i)->cast<CNodePtr>();
-      for (size_t j = 1; j < trans_cnode->size(); ++j) {
-        if (match.find(trans_cnode->input(j)) == match.end()) {
-          continue;
-        }
-        tr.SetEdge(trans_cnode, j, match.at(trans_cnode->input(j)));
-        tr.Commit();
-      }
-    }
-  }
-}
-
 void UnifyFormatPass::SetSubGraphInput(const CNodePtr &cnode, const FuncGraphPtr &sub_graph) {
   MS_ASSERT(cnode != nullptr && sub_graph != nullptr);
-  auto subgraph_name = GetValue<std::string>(sub_graph->get_attr("graph_name"));
-  sub_inputs_map_[subgraph_name] = {};
+  sub_inputs_map_[sub_graph] = {};
   auto sub_inputs = sub_graph->get_inputs();
   for (auto &node : sub_inputs) {
     auto param_node = node->cast<ParameterPtr>();
@@ -689,19 +635,52 @@ void UnifyFormatPass::SetSubGraphInput(const CNodePtr &cnode, const FuncGraphPtr
     node_name = node_name.substr(0, last_underline);
     last_underline = node_name.find_last_of("_");
     auto index = std::stoi(node_name.substr(last_underline + 1)) + 3;
-    if (utils::isa<CNodePtr>(cnode->input(index)) && CheckPrimitiveType(cnode->input(index), prim::kPrimTranspose)) {
-      std::vector<int> shape = {-1};
-      auto trans_cnode = cnode->input(index)->cast<CNodePtr>();
+    param_node->set_abstract(GetCNodeInputAbstract(cnode, index)->Clone());
+    if (utils::isa<CNodePtr>(cnode->input(index))) {
+      ShapeVector shape_vec = {-1};
+      auto out_cnode = cnode->input(index)->cast<CNodePtr>();
       MS_ASSERT(trans_cnode != nullptr);
-      auto trans_prim = GetValueNode<PrimitivePtr>(trans_cnode->input(0));
-      if (trans_prim->GetAttr(kInferDone) != nullptr && GetValue<bool>(trans_prim->GetAttr(kInferDone))) {
-        shape = node_infer_shape_.GetInputShape(cnode, index);
+      auto out_prim = GetValueNode<PrimitivePtr>(out_cnode->input(0));
+      if (out_prim->GetAttr(kInferDone) == nullptr || !GetValue<bool>(out_prim->GetAttr(kInferDone))) {
+        param_node->abstract()->set_shape(std::make_shared<abstract::Shape>(shape_vec));
       }
-      auto type = trans_cnode->abstract()->cast<abstract::AbstractTensorPtr>()->element()->GetTypeTrack();
-      std::vector<int64_t> shape_vec(shape.begin(), shape.end());
-      param_node->set_abstract(std::make_shared<abstract::AbstractTensor>(type, shape_vec));
     } else {
-      sub_inputs_map_[subgraph_name][node] = cnode->input(index);
+      lite::DataInfo data_info;
+      if (utils::isa<ParameterPtr>(cnode->input(index))) {
+        if (cnode->input(index)->cast<ParameterPtr>()->has_default()) {
+          param_node->set_default_param(cnode->input(index)->cast<ParameterPtr>()->default_param());
+          sub_inputs_map_[sub_graph].push_back(param_node);
+        }
+        continue;
+      }
+      auto status = lite::FetchDataFromValueNode(cnode, index, fmk_type_, train_flag_, &data_info);
+      if (status != lite::RET_OK) {
+        continue;
+      }
+      ShapeVector shape_vec(data_info.shape_.begin(), data_info.shape_.end());
+      if (data_info.data_.empty()) {
+        param_node->set_default_param(std::make_shared<tensor::Tensor>((TypeId)data_info.data_type_, shape_vec));
+      } else {
+        param_node->set_default_param(std::make_shared<tensor::Tensor>((TypeId)data_info.data_type_, shape_vec,
+                                                                       data_info.data_.data(), data_info.data_.size()));
+      }
+      sub_inputs_map_[sub_graph].push_back(param_node);
+    }
+  }
+}
+
+void UnifyFormatPass::ResetSubGraphInput() {
+  for (auto iter = sub_inputs_map_.begin(); iter != sub_inputs_map_.end(); ++iter) {
+    auto &sub_graph = iter->first;
+    auto &sub_inputs = iter->second;
+    auto manager = sub_graph->manager();
+    MS_ASSERT(manager != nullptr);
+    for (auto &sub_input : sub_inputs) {
+      auto param_node = sub_graph->add_parameter();
+      MS_ASSERT(param_node != nullptr);
+      param_node->set_abstract(sub_input->abstract()->Clone());
+      param_node->set_name(sub_input->name());
+      manager->Replace(sub_input, param_node);
     }
   }
 }
@@ -804,13 +783,6 @@ bool UnifyFormatPass::BasicProcess(const FuncGraphPtr &func_graph, bool main_gra
       }
     }
     if (CheckPrimitiveType(node, prim::kPrimIf) || CheckPrimitiveType(node, prim::kPrimWhile)) {
-      auto origin_inputs = cnode->inputs();
-      for (size_t i = 3; i < cnode->size(); ++i) {
-        if (sub_inputs_map_.find(graph_name) != sub_inputs_map_.end() &&
-            sub_inputs_map_[graph_name].find(cnode->input(i)) != sub_inputs_map_[graph_name].end()) {
-          cnode->set_input(i, sub_inputs_map_[graph_name][cnode->input(i)]);
-        }
-      }
       auto sub_func_graph = GetValueNode<FuncGraphPtr>(cnode->input(1));
       if (sub_func_graph == nullptr) {
         lite::ReturnCode::GetSingleReturnCode()->UpdateReturnCode(lite::RET_NULL_PTR);
@@ -828,7 +800,6 @@ bool UnifyFormatPass::BasicProcess(const FuncGraphPtr &func_graph, bool main_gra
       (void)BasicProcess(sub_func_graph, false);
       SetSubGraphOutput(cnode, sub_func_graph);
       SetSubGraphAbstract(cnode, sub_func_graph);
-      cnode->set_inputs(origin_inputs);
       continue;
     }
     status = HandleGraphNode(func_graph, cnode);
@@ -836,6 +807,7 @@ bool UnifyFormatPass::BasicProcess(const FuncGraphPtr &func_graph, bool main_gra
       return false;
     }
   }
+  ResetSubGraphInput();
   return true;
 }
 
@@ -858,13 +830,6 @@ bool UnifyFormatPass::DecreaseTransposeForSingleOp(const FuncGraphPtr &func_grap
       continue;
     }
     if (CheckPrimitiveType(node, prim::kPrimIf) || CheckPrimitiveType(node, prim::kPrimWhile)) {
-      auto origin_inputs = cnode->inputs();
-      for (size_t i = 3; i < cnode->size(); ++i) {
-        if (sub_inputs_map_.find(graph_name) != sub_inputs_map_.end() &&
-            sub_inputs_map_[graph_name].find(cnode->input(i)) != sub_inputs_map_[graph_name].end()) {
-          cnode->set_input(i, sub_inputs_map_[graph_name][cnode->input(i)]);
-        }
-      }
       auto sub_func_graph = GetValueNode<FuncGraphPtr>(cnode->input(1));
       if (sub_func_graph == nullptr) {
         lite::ReturnCode::GetSingleReturnCode()->UpdateReturnCode(lite::RET_NULL_PTR);
@@ -882,7 +847,6 @@ bool UnifyFormatPass::DecreaseTransposeForSingleOp(const FuncGraphPtr &func_grap
       (void)DecreaseTransposeForSingleOp(sub_func_graph);
       SetSubGraphOutput(cnode, sub_func_graph);
       SetSubGraphAbstract(cnode, sub_func_graph);
-      cnode->set_inputs(origin_inputs);
       continue;
     }
     auto prim = GetValueNode<PrimitivePtr>(cnode->input(0));
@@ -904,6 +868,7 @@ bool UnifyFormatPass::DecreaseTransposeForSingleOp(const FuncGraphPtr &func_grap
       return false;
     }
   }
+  ResetSubGraphInput();
   return true;
 }
 
@@ -1010,8 +975,53 @@ bool UnifyFormatPass::ResetFuncGraph(const FuncGraphPtr &func_graph) {
   return true;
 }
 
+bool UnifyFormatPass::JudgeAllOpsCanInfer(const FuncGraphPtr &func_graph) {
+  MS_ASSERT(func_graph != nullptr);
+  auto node_list = TopoSort(func_graph->get_return());
+  bool all_op_can_infer = true;
+  for (auto &node : node_list) {
+    if (!utils::isa<CNodePtr>(node)) {
+      continue;
+    }
+    auto cnode = node->cast<CNodePtr>();
+    if (IsSpecialType(cnode)) {
+      continue;
+    }
+    if (CheckPrimitiveType(node, prim::kPrimIf) || CheckPrimitiveType(node, prim::kPrimWhile)) {
+      auto sub_func_graph = GetValueNode<FuncGraphPtr>(cnode->input(1));
+      if (sub_func_graph == nullptr) {
+        lite::ReturnCode::GetSingleReturnCode()->UpdateReturnCode(lite::RET_NULL_PTR);
+        all_op_can_infer = false;
+      } else {
+        all_op_can_infer = all_op_can_infer && JudgeAllOpsCanInfer(sub_func_graph);
+      }
+      sub_func_graph = GetValueNode<FuncGraphPtr>(cnode->input(1));
+      if (sub_func_graph == nullptr) {
+        lite::ReturnCode::GetSingleReturnCode()->UpdateReturnCode(lite::RET_NULL_PTR);
+        all_op_can_infer = false;
+      } else {
+        all_op_can_infer = all_op_can_infer && JudgeAllOpsCanInfer(sub_func_graph);
+      }
+      continue;
+    }
+    auto cur_op_can_infer = node_infer_shape_.JudgeOpSupportInfer(cnode);
+    if (!cur_op_can_infer) {
+      auto prim = GetValueNode<PrimitivePtr>(cnode->input(0));
+      MS_ASSERT(prim != nullptr);
+      lite::NotSupportOp::GetInstance()->InsertOp(prim->name());
+      lite::ReturnCode::GetSingleReturnCode()->UpdateReturnCode(lite::RET_NOT_SUPPORT);
+      all_op_can_infer = false;
+    }
+  }
+  return all_op_can_infer;
+}
+
 bool UnifyFormatPass::RunOnlyForShape(const FuncGraphPtr &func_graph) {
   MS_ASSERT(func_graph != nullptr);
+  if (!JudgeAllOpsCanInfer(func_graph)) {
+    MS_LOG(ERROR) << "exist op cannot support infer shape.";
+    return false;
+  }
   need_reset_ = true;
   // insert transpose for some ops whose format must be NHWC, which is depend on framework.
   // In this process, transpose op cannot be fused to restore the original graph.
@@ -1039,6 +1049,10 @@ bool UnifyFormatPass::Run(const FuncGraphPtr &func_graph) {
       return true;
     }
   }
+  if (!JudgeAllOpsCanInfer(func_graph)) {
+    MS_LOG(ERROR) << "exist op cannot support infer shape.";
+    return false;
+  }
   // insert transpose for some ops whose format must be NHWC, which is depend on framework.
   // In this process, tranpose can be fused, which the original graph may not be able to restored.
   if (!BasicProcess(func_graph, true)) {
diff --git a/mindspore/lite/tools/optimizer/graph/unify_format_pass.h b/mindspore/lite/tools/optimizer/graph/unify_format_pass.h
index 450090ee00..81a69b04f6 100644
--- a/mindspore/lite/tools/optimizer/graph/unify_format_pass.h
+++ b/mindspore/lite/tools/optimizer/graph/unify_format_pass.h
@@ -45,6 +45,7 @@ class UnifyFormatPass : public Pass {
   bool RunOnlyForShape(const FuncGraphPtr &func_graph);
 
  private:
+  bool JudgeAllOpsCanInfer(const FuncGraphPtr &func_graph);
   bool ResetFuncGraph(const FuncGraphPtr &func_graph);
   bool BasicProcess(const FuncGraphPtr &func_graph, bool main_graph);
   bool DecreaseTransposeForSingleOp(const FuncGraphPtr &func_graph);
@@ -61,11 +62,8 @@ class UnifyFormatPass : public Pass {
   STATUS InsertPreTransNode(const FuncGraphPtr &func_graph, const CNodePtr &cnode, const std::vector<int> &perm);
   STATUS InsertPreTransNode(const FuncGraphPtr &func_graph, const CNodePtr &cnode, TransTypePair *trans_insert_info);
   STATUS InsertPostTransNode(const FuncGraphPtr &func_graph, const CNodePtr &cnode, const std::vector<int> &perm);
-  void PreProcessFowardInsert(const FuncGraphPtr &func_graph, const CNodePtr &cnode,
-                              std::unordered_map<AnfNodePtr, AnfNodePtr> *match);
-  void PostProcessFowardInsert(const FuncGraphPtr &funcgraph, const CNodePtr &cnode,
-                               const std::unordered_map<AnfNodePtr, AnfNodePtr> &match);
   void SetSubGraphInput(const CNodePtr &cnode, const FuncGraphPtr &sub_graph);
+  void ResetSubGraphInput();
   void SetSubGraphOutput(const CNodePtr &cnode, const FuncGraphPtr &sub_graph);
   void SetSubGraphAbstract(const CNodePtr &cnode, const FuncGraphPtr &sub_graph);
   FmkType fmk_type_{lite::converter::FmkType_MS};
@@ -75,7 +73,7 @@ class UnifyFormatPass : public Pass {
   TransposeStrategy transpose_strategy_;
   std::set<AnfNodePtr> pre_insert_trans_;
   std::set<AnfNodePtr> post_insert_trans_;
-  std::unordered_map<std::string, std::unordered_map<AnfNodePtr, AnfNodePtr>> sub_inputs_map_;
+  std::unordered_map<FuncGraphPtr, std::vector<ParameterPtr>> sub_inputs_map_;
 };
 }  // namespace opt
 }  // namespace mindspore