diff --git a/cmake/package_lite.cmake b/cmake/package_lite.cmake
index 3c257d6443f..c6a75739d07 100644
--- a/cmake/package_lite.cmake
+++ b/cmake/package_lite.cmake
@@ -464,7 +464,7 @@ else()
                 COMPONENT ${RUNTIME_COMPONENT_NAME})
 
         if(MSLITE_ENABLE_ACL)
-            set(LITE_ACL_DIR ${TOP_DIR}/mindspore/lite/build/tools/converter/acl)
+            set(LITE_ACL_DIR ${TOP_DIR}/mindspore/lite/build/tools/converter/adapter/acl)
             install(FILES ${LITE_ACL_DIR}/mindspore_shared_lib/libmindspore_shared_lib.so
                     DESTINATION ${CONVERTER_ROOT_DIR}/lib COMPONENT ${RUNTIME_COMPONENT_NAME})
         endif()
diff --git a/mindspore/ccsrc/cxx_api/CMakeLists.txt b/mindspore/ccsrc/cxx_api/CMakeLists.txt
index 7874967dc23..9c0deb7e658 100644
--- a/mindspore/ccsrc/cxx_api/CMakeLists.txt
+++ b/mindspore/ccsrc/cxx_api/CMakeLists.txt
@@ -69,14 +69,17 @@ set(MSLIB_SRC ${CMAKE_CURRENT_SOURCE_DIR}/types.cc
 
 if(BUILD_LITE)
     list(APPEND MSLIB_SRC "${CMAKE_CURRENT_SOURCE_DIR}/../../../mindspore/ccsrc/utils/config_manager.cc")
+    file(GLOB_RECURSE ACL_REMOVE_SRC ${CMAKE_CURRENT_SOURCE_DIR}
+            "model/acl/acl_vm/*.cc"
+            )
     list(REMOVE_ITEM MSLIB_SRC "${CMAKE_CURRENT_SOURCE_DIR}/akg_kernel_register.cc"
             "${CMAKE_CURRENT_SOURCE_DIR}/model/acl/acl_model_multi.cc"
             "${CMAKE_CURRENT_SOURCE_DIR}/model/acl/acl_model.cc"
-            "${CMAKE_CURRENT_SOURCE_DIR}/model/acl/acl_vm/*.cc"
             "${CMAKE_CURRENT_SOURCE_DIR}/serialization.cc"
             "${CMAKE_CURRENT_SOURCE_DIR}/types.cc"
             "${CMAKE_CURRENT_SOURCE_DIR}/model/model.cc"
             "${CMAKE_CURRENT_SOURCE_DIR}/model/model_impl.cc"
+            ${ACL_REMOVE_SRC}
             $<TARGET_OBJECTS:_mindspore_vm_obj>)
 endif()
 
diff --git a/mindspore/ccsrc/transform/graph_ir/op_declare/nn_pooling_ops_declare.cc b/mindspore/ccsrc/transform/graph_ir/op_declare/nn_pooling_ops_declare.cc
index de979deaae5..8dbc793e00b 100644
--- a/mindspore/ccsrc/transform/graph_ir/op_declare/nn_pooling_ops_declare.cc
+++ b/mindspore/ccsrc/transform/graph_ir/op_declare/nn_pooling_ops_declare.cc
@@ -167,8 +167,8 @@ REG_ADPT_DESC(GlobalAveragePool, kNameGlobalAvgPool, ADPT_DESC(GlobalAveragePool
 // Upsample
 INPUT_MAP(Upsample) = {{1, INPUT_DESC(x)}};
 ATTR_MAP(Upsample) = {{"scale", ATTR_DESC(scale, AnyTraits<float>())},
-                      {"h", ATTR_DESC(stride_h, AnyTraits<int64_t>())},
-                      {"w", ATTR_DESC(stride_w, AnyTraits<int64_t>())}};
+                      {"stride_h", ATTR_DESC(stride_h, AnyTraits<int64_t>())},
+                      {"stride_w", ATTR_DESC(stride_w, AnyTraits<int64_t>())}};
 OUTPUT_MAP(Upsample) = {{0, OUTPUT_DESC(y)}};
 REG_ADPT_DESC(Upsample, kNameUpsample, ADPT_DESC(Upsample))
 }  // namespace mindspore::transform
diff --git a/mindspore/lite/tools/converter/adapter/acl/CMakeLists.txt b/mindspore/lite/tools/converter/adapter/acl/CMakeLists.txt
index 016abef46a2..e61ee8b7ba5 100644
--- a/mindspore/lite/tools/converter/adapter/acl/CMakeLists.txt
+++ b/mindspore/lite/tools/converter/adapter/acl/CMakeLists.txt
@@ -16,6 +16,7 @@ file(GLOB ACL_SRC
         )
 
 set(ENABLE_ACL on)
+set(MODE_ASCEND_ACL off)
 
 add_subdirectory(${TOP_DIR}/mindspore/ccsrc/transform/graph_ir _mindspore_transform_graph_ir_obj)
 add_subdirectory(${TOP_DIR}/mindspore/ccsrc/cxx_api mindspore_shared_lib)
diff --git a/mindspore/lite/tools/converter/adapter/acl/acl_pass_impl.cc b/mindspore/lite/tools/converter/adapter/acl/acl_pass_impl.cc
index e200bd4d0c1..f0c0d3815f3 100644
--- a/mindspore/lite/tools/converter/adapter/acl/acl_pass_impl.cc
+++ b/mindspore/lite/tools/converter/adapter/acl/acl_pass_impl.cc
@@ -35,7 +35,7 @@
 
 namespace mindspore {
 namespace opt {
-constexpr std::set kDevice = {"Ascend310", "Ascend710"};
+static const std::set<std::string> kDevice = {"Ascend310", "Ascend710"};
 namespace {
 constexpr auto kMakeTuple = "MakeTuple";
 constexpr auto kOutputNames = "outputs_names";
@@ -45,6 +45,8 @@ constexpr auto kNCHWFormat = "NCHW";
 constexpr auto kToNHWCFormatPass = "ToNHWCFormat";
 constexpr auto kToNCHWFormatPass = "ToNCHWFormat";
 constexpr auto kInferShapePass = "InferShapePass";
+constexpr auto kConstFoldPass = "ConstFoldPass";
+constexpr auto kRemoveRedundantOpPass = "RemoveRedundantOpPass";
 constexpr auto kDelRedundantTranspose = "DeleteRedundantTranspose";
 constexpr size_t kDependInputNum = 3;
 constexpr size_t kDependFirstInputIdx = 1;
@@ -54,7 +56,6 @@ constexpr size_t kTupleGetItemFirstInputIdx = 1;
 AclPassImpl::AclPassImpl(const converter::Flags &config)
     : device_type_(config.device),
       fmk_type_(config.fmk),
-      graph_input_format_(std::move(config.graphInputFormatStr)),
       acl_model_option_cfg_(std::move(config.aclModelOptionCfgParam)) {}
 
 ParameterPtr AclPassImpl::CreateOmParameter(const FuncGraphPtr &func_graph, const Buffer &om_data) {
@@ -153,14 +154,26 @@ STATUS AclPassImpl::DeparseGraph(const FuncGraphPtr &func_graph, const FuncGraph
   return lite::RET_OK;
 }
 
+STATUS AclPassImpl::CommonPass(const FuncGraphPtr &func_graph) {
+  if (!lite::RunOptimizerPass(func_graph, {kRemoveRedundantOpPass})) {
+    MS_LOG(ERROR) << "Remove redundant op pass failed.";
+    return lite::RET_ERROR;
+  }
+  if (!lite::RunOptimizerPass(func_graph, {kConstFoldPass})) {
+    MS_LOG(ERROR) << "Const fold pass failed.";
+    return lite::RET_ERROR;
+  }
+  return lite::RET_OK;
+}
+
 STATUS AclPassImpl::PreProcGraph(const FuncGraphPtr &func_graph) {
   if (fmk_type_ == converter::kFmkTypeMs) {
-    MS_LOG(INFO) << "MindIr no need to pre proc graph.";
+    MS_LOG(DEBUG) << "MindIr no need to change format.";
     return lite::RET_OK;
   }
   // The format of nodes (cnode, parameter, val) must be nchw due to interface of convert om
   if (!lite::RunOptimizerPass(func_graph, {kInferShapePass, kToNCHWFormatPass, kDelRedundantTranspose})) {
-    MS_LOG(ERROR) << "To nchw format success.";
+    MS_LOG(ERROR) << "To nchw format failed.";
     return lite::RET_ERROR;
   }
   MS_LOG(DEBUG) << "Pre proc graph success.";
@@ -168,10 +181,6 @@ STATUS AclPassImpl::PreProcGraph(const FuncGraphPtr &func_graph) {
 }
 
 STATUS AclPassImpl::PostProcGraph(const FuncGraphPtr &func_graph) {
-  if (graph_input_format_ == kNCHWFormat) {
-    MS_LOG(INFO) << "No need to transpose format to nhwc.";
-    return lite::RET_OK;
-  }
   if (!lite::RunOptimizerPass(func_graph, {kToNHWCFormatPass})) {
     MS_LOG(ERROR) << "To NHWC Format failed.";
     return lite::RET_ERROR;
diff --git a/mindspore/lite/tools/converter/adapter/acl/acl_pass_impl.h b/mindspore/lite/tools/converter/adapter/acl/acl_pass_impl.h
index 8fec468caa7..e57eff7bbbd 100644
--- a/mindspore/lite/tools/converter/adapter/acl/acl_pass_impl.h
+++ b/mindspore/lite/tools/converter/adapter/acl/acl_pass_impl.h
@@ -44,6 +44,7 @@ class AclPassImpl {
 
  private:
   bool IsDeviceAscend();
+  STATUS CommonPass(const FuncGraphPtr &func_graph);
   STATUS PreProcGraph(const FuncGraphPtr &func_graph);
   STATUS PostProcGraph(const FuncGraphPtr &func_graph);
   STATUS DeparseGraph(const FuncGraphPtr &func_graph, const FuncGraphManagerPtr &manager);
@@ -66,7 +67,6 @@ class AclPassImpl {
 
   std::string device_type_;
   FmkType fmk_type_;
-  std::string graph_input_format_;
   lite::acl::AclModelOptionCfg acl_model_option_cfg_;
   ParameterPtr om_parameter_ = nullptr;
   CNodePtr custom_node_ = nullptr;
diff --git a/mindspore/lite/tools/converter/adapter/acl/mapper/upsample_mapper.cc b/mindspore/lite/tools/converter/adapter/acl/mapper/upsample_mapper.cc
index 236bd758e9d..635bc7e53e5 100644
--- a/mindspore/lite/tools/converter/adapter/acl/mapper/upsample_mapper.cc
+++ b/mindspore/lite/tools/converter/adapter/acl/mapper/upsample_mapper.cc
@@ -69,7 +69,12 @@ STATUS UpsampleMapper::AttrAdjust(const PrimitivePtr &src_prim, const ValueNodeP
   MS_LOG(DEBUG) << "The scale value: " << scale[1];
   auto dst_prim = std::make_shared<acl::Upsample>();
   CHECK_NULL_RETURN(dst_prim);
-  dst_prim->AddAttr("scale", MakeValue(scale[1]));
+  float attr_scale = 1;
+  dst_prim->AddAttr("scale", MakeValue(attr_scale));
+  int64_t stride_h = static_cast<int64_t>(scale[1]);
+  int64_t stride_w = stride_h;
+  dst_prim->AddAttr("stride_h", MakeValue(stride_h));
+  dst_prim->AddAttr("stride_w", MakeValue(stride_w));
   val_node->set_value(dst_prim);
   return RET_OK;
 }
diff --git a/mindspore/lite/tools/converter/anf_transform.cc b/mindspore/lite/tools/converter/anf_transform.cc
index b4013b16c0f..4033eb94ec9 100644
--- a/mindspore/lite/tools/converter/anf_transform.cc
+++ b/mindspore/lite/tools/converter/anf_transform.cc
@@ -511,6 +511,7 @@ bool AnfTransform::StoreBuiltinPass(const converter::Flags *config) {
   auto is_train = config->trainModel;
   std::unordered_map<std::string, opt::PassPtr> passes = {
     {"DumpGraph", std::make_shared<opt::DumpGraph>(config)},
+    {"RemoveRedundantOpPass", std::make_shared<opt::RemoveRedundantOpPass>(config->trainModel)},
     {"ToNCHWFormat", std::make_shared<opt::ToNCHWFormat>(fmk, is_train)},
     {"ToNHWCFormat", std::make_shared<opt::ToNHWCFormat>(fmk, is_train)},
     {"ConstFoldPass", std::make_shared<opt::ConstFoldPass>(fmk, is_train)},