diff --git a/mindspore/lite/src/ops/compat/v0/strided_slice_compat_v0.cc b/mindspore/lite/src/ops/compat/v0/strided_slice_compat_v0.cc
index 69471b4147a..04ce2dc057c 100644
--- a/mindspore/lite/src/ops/compat/v0/strided_slice_compat_v0.cc
+++ b/mindspore/lite/src/ops/compat/v0/strided_slice_compat_v0.cc
@@ -28,7 +28,7 @@ int TransferStridedSliceAttr(Model::Node *node, std::vector<schema::Tensor *> *d
   dst_tensors->clear();
   auto prim = reinterpret_cast<const schema::v0::Primitive *>(node->primitive_);
   MS_ASSERT(prim != nullptr);
-  int inputs_size = node->input_indices_.size();
+  int inputs_size = static_cast<int>(node->input_indices_.size());
 
   auto param = prim->value_as_StridedSlice();
   if (param == nullptr) {
diff --git a/mindspore/lite/src/ops/populate/adder_populate.cc b/mindspore/lite/src/ops/populate/adder_populate.cc
index 284b632448b..5b41e4f5ae7 100644
--- a/mindspore/lite/src/ops/populate/adder_populate.cc
+++ b/mindspore/lite/src/ops/populate/adder_populate.cc
@@ -53,8 +53,8 @@ OpParameter *PopulateAdderParameter(const void *prim) {
   param->stride_w_ = static_cast<int>(*(stride->begin() + 1));
   param->pad_u_ = static_cast<int>(*(pad_list->begin()));
   param->pad_d_ = static_cast<int>(*(pad_list->begin() + 1));
-  param->pad_l_ = static_cast<int>(*(pad_list->begin() + 2));
-  param->pad_r_ = static_cast<int>(*(pad_list->begin() + 3));
+  param->pad_l_ = static_cast<int>(*(pad_list->begin() + kOffsetTwo));
+  param->pad_r_ = static_cast<int>(*(pad_list->begin() + kOffsetThree));
   param->dilation_h_ = static_cast<int>(*(dilation->begin()));
   param->dilation_w_ = static_cast<int>(*(dilation->begin() + 1));
   param->input_channel_ = static_cast<int>(value->in_channel());
diff --git a/mindspore/lite/src/ops/populate/conv2d_populate.cc b/mindspore/lite/src/ops/populate/conv2d_populate.cc
index ab61ea062c8..ceec07cb670 100644
--- a/mindspore/lite/src/ops/populate/conv2d_populate.cc
+++ b/mindspore/lite/src/ops/populate/conv2d_populate.cc
@@ -20,7 +20,6 @@ using mindspore::schema::PrimitiveType_Conv2DFusion;
 
 namespace mindspore {
 namespace lite {
-constexpr auto kMinShapeSize = 2;
 OpParameter *PopulateConvParameter(const void *prim) {
   auto primitive = static_cast<const schema::Primitive *>(prim);
   MS_ASSERT(primitive != nullptr);
@@ -47,7 +46,8 @@ OpParameter *PopulateConvParameter(const void *prim) {
     free(param);
     return nullptr;
   }
-  if (kernel_size->size() < kMinShapeSize || stride->size() < kMinShapeSize || dilation->size() < kMinShapeSize) {
+  if (kernel_size->size() < kMinShapeSizeTwo || stride->size() < kMinShapeSizeTwo ||
+      dilation->size() < kMinShapeSizeTwo) {
     MS_LOG(ERROR) << "Invalid shape size!kernel_size size: " << kernel_size->size()
                   << ", stride size: " << stride->size() << ", dilation size: " << dilation->size();
     free(param);
@@ -68,7 +68,7 @@ OpParameter *PopulateConvParameter(const void *prim) {
     default:
       param->pad_mode_ = Pad_pad;
   }
-  if (pad_list == nullptr || pad_list->size() < 4) {
+  if (pad_list == nullptr || pad_list->size() < kMinShapeSizeFour) {
     param->pad_u_ = 0;
     param->pad_d_ = 0;
     param->pad_l_ = 0;
@@ -76,8 +76,8 @@ OpParameter *PopulateConvParameter(const void *prim) {
   } else {
     param->pad_u_ = static_cast<int>(*(pad_list->begin()));
     param->pad_d_ = static_cast<int>(*(pad_list->begin() + 1));
-    param->pad_l_ = static_cast<int>(*(pad_list->begin() + 2));
-    param->pad_r_ = static_cast<int>(*(pad_list->begin() + 3));
+    param->pad_l_ = static_cast<int>(*(pad_list->begin() + kOffsetTwo));
+    param->pad_r_ = static_cast<int>(*(pad_list->begin() + kOffsetThree));
   }
   param->dilation_h_ = static_cast<int>(*(dilation->begin()));
   param->dilation_w_ = static_cast<int>(*(dilation->begin() + 1));
diff --git a/mindspore/lite/src/ops/populate/deconv2d_populate.cc b/mindspore/lite/src/ops/populate/deconv2d_populate.cc
index 1e6a8328f12..f9bd06890e2 100644
--- a/mindspore/lite/src/ops/populate/deconv2d_populate.cc
+++ b/mindspore/lite/src/ops/populate/deconv2d_populate.cc
@@ -20,7 +20,6 @@ using mindspore::schema::PrimitiveType_Conv2dTransposeFusion;
 
 namespace mindspore {
 namespace lite {
-constexpr auto kMinShapeSize = 2;
 OpParameter *PopulateDeconvParameter(const void *prim) {
   auto primitive = static_cast<const schema::Primitive *>(prim);
   MS_ASSERT(primitive != nullptr);
@@ -48,7 +47,8 @@ OpParameter *PopulateDeconvParameter(const void *prim) {
     free(param);
     return nullptr;
   }
-  if (kernel_size->size() < kMinShapeSize || stride->size() < kMinShapeSize || dilation->size() < kMinShapeSize) {
+  if (kernel_size->size() < kMinShapeSizeTwo || stride->size() < kMinShapeSizeTwo ||
+      dilation->size() < kMinShapeSizeTwo) {
     MS_LOG(ERROR) << "Invalid shape size!kernel_size size: " << kernel_size->size()
                   << ", stride size: " << stride->size() << ", dilation size: " << dilation->size()
                   << ", output_paddings size:" << output_paddings->size();
@@ -72,7 +72,7 @@ OpParameter *PopulateDeconvParameter(const void *prim) {
     default:
       param->pad_mode_ = Pad_pad;
   }
-  if (pad_list == nullptr || pad_list->size() < 4) {
+  if (pad_list == nullptr || pad_list->size() < kMinShapeSizeFour) {
     param->pad_u_ = 0;
     param->pad_d_ = 0;
     param->pad_l_ = 0;
@@ -80,8 +80,8 @@ OpParameter *PopulateDeconvParameter(const void *prim) {
   } else {
     param->pad_u_ = static_cast<int>(*(pad_list->begin()));
     param->pad_d_ = static_cast<int>(*(pad_list->begin() + 1));
-    param->pad_l_ = static_cast<int>(*(pad_list->begin() + 2));
-    param->pad_r_ = static_cast<int>(*(pad_list->begin() + 3));
+    param->pad_l_ = static_cast<int>(*(pad_list->begin() + kOffsetTwo));
+    param->pad_r_ = static_cast<int>(*(pad_list->begin() + kOffsetThree));
   }
   param->dilation_h_ = static_cast<int>(*(dilation->begin()));
   param->dilation_w_ = static_cast<int>(*(dilation->begin() + 1));
diff --git a/mindspore/lite/src/ops/populate/detection_post_process_populate.cc b/mindspore/lite/src/ops/populate/detection_post_process_populate.cc
index e8526010db0..9ff37e4082b 100644
--- a/mindspore/lite/src/ops/populate/detection_post_process_populate.cc
+++ b/mindspore/lite/src/ops/populate/detection_post_process_populate.cc
@@ -19,7 +19,6 @@ using mindspore::schema::PrimitiveType_DetectionPostProcess;
 
 namespace mindspore {
 namespace lite {
-constexpr auto kScaleMinSize = 4;
 OpParameter *PopulateDetectionPostProcessParameter(const void *prim) {
   auto primitive = static_cast<const schema::Primitive *>(prim);
   MS_ASSERT(primitive != nullptr);
@@ -43,15 +42,15 @@ OpParameter *PopulateDetectionPostProcessParameter(const void *prim) {
     free(param);
     return nullptr;
   }
-  if (scale->size() < kScaleMinSize) {
+  if (scale->size() < kMinShapeSizeFour) {
     MS_LOG(ERROR) << "Invalid scale shape size " << scale->size();
     free(param);
     return nullptr;
   }
   param->h_scale_ = *(scale->begin());
   param->w_scale_ = *(scale->begin() + 1);
-  param->x_scale_ = *(scale->begin() + 2);
-  param->y_scale_ = *(scale->begin() + 3);
+  param->x_scale_ = *(scale->begin() + kOffsetTwo);
+  param->y_scale_ = *(scale->begin() + kOffsetThree);
   param->nms_iou_threshold_ = value->nms_iou_threshold();
   param->nms_score_threshold_ = value->nms_score_threshold();
   param->max_detections_ = value->max_detections();
diff --git a/mindspore/lite/src/ops/populate/pooling_populate.cc b/mindspore/lite/src/ops/populate/pooling_populate.cc
index 29adecdecaa..8b2933aa85b 100644
--- a/mindspore/lite/src/ops/populate/pooling_populate.cc
+++ b/mindspore/lite/src/ops/populate/pooling_populate.cc
@@ -20,10 +20,6 @@ using mindspore::schema::PrimitiveType_MaxPoolFusion;
 
 namespace mindspore {
 namespace lite {
-constexpr size_t kMinShapeSize = 2;
-constexpr size_t kMinPadSize = 4;
-constexpr int kOffsetTwo = 2;
-constexpr int kOffsetThree = 3;
 OpParameter *PopulateAvgPoolParameter(const void *primitive) {
   auto pooling_prim = static_cast<const schema::Primitive *>(primitive);
   MS_ASSERT(pooling_prim != nullptr);
@@ -44,7 +40,7 @@ OpParameter *PopulateAvgPoolParameter(const void *primitive) {
   param->pool_mode_ = PoolMode_AvgPool;
   param->global_ = value->global();
   auto strides = value->strides();
-  if (strides == nullptr || strides->size() < kMinShapeSize) {
+  if (strides == nullptr || strides->size() < kMinShapeSizeTwo) {
     MS_LOG(ERROR) << "strides is invalid!";
     free(param);
     return nullptr;
@@ -52,7 +48,7 @@ OpParameter *PopulateAvgPoolParameter(const void *primitive) {
   param->stride_w_ = static_cast<int>(*(strides->begin() + 1));
   param->stride_h_ = static_cast<int>(*(strides->begin()));
   auto pad = value->pad();
-  if (pad != nullptr && pad->size() >= kMinPadSize) {
+  if (pad != nullptr && pad->size() >= kMinShapeSizeFour) {
     param->pad_u_ = static_cast<int>(*(pad->begin()));
     param->pad_d_ = static_cast<int>(*(pad->begin() + 1));
     param->pad_l_ = static_cast<int>(*(pad->begin() + kOffsetTwo));
@@ -60,7 +56,7 @@ OpParameter *PopulateAvgPoolParameter(const void *primitive) {
   }
   if (!param->global_) {
     auto kernel_size = value->kernel_size();
-    if (kernel_size == nullptr || kernel_size->size() < kMinShapeSize) {
+    if (kernel_size == nullptr || kernel_size->size() < kMinShapeSizeTwo) {
       MS_LOG(ERROR) << "kernel_size is invalid";
       free(param);
       return nullptr;
@@ -126,8 +122,8 @@ OpParameter *PopulateMaxPoolParameter(const void *primitive) {
   if (!param->global_) {
     auto kernel_size = value->kernel_size();
     auto strides = value->strides();
-    if (kernel_size == nullptr || strides == nullptr || kernel_size->size() < kMinShapeSize ||
-        strides->size() < kMinShapeSize) {
+    if (kernel_size == nullptr || strides == nullptr || kernel_size->size() < kMinShapeSizeTwo ||
+        strides->size() < kMinShapeSizeTwo) {
       MS_LOG(ERROR) << "kernel_size or strides is invalid";
       free(param);
       return nullptr;
@@ -137,7 +133,7 @@ OpParameter *PopulateMaxPoolParameter(const void *primitive) {
     param->stride_w_ = static_cast<int>(*(strides->begin() + 1));
     param->stride_h_ = static_cast<int>(*(strides->begin()));
     auto pad = value->pad();
-    if (pad != nullptr && pad->size() >= kMinPadSize) {
+    if (pad != nullptr && pad->size() >= kMinShapeSizeFour) {
       param->pad_u_ = static_cast<int>(*(pad->begin()));
       param->pad_d_ = static_cast<int>(*(pad->begin() + 1));
       param->pad_l_ = static_cast<int>(*(pad->begin() + kOffsetTwo));
diff --git a/mindspore/lite/src/ops/populate/populate_register.h b/mindspore/lite/src/ops/populate/populate_register.h
index 0537156cee2..1f248395f99 100644
--- a/mindspore/lite/src/ops/populate/populate_register.h
+++ b/mindspore/lite/src/ops/populate/populate_register.h
@@ -27,6 +27,10 @@
 
 namespace mindspore {
 namespace lite {
+constexpr int kOffsetTwo = 2;
+constexpr int kOffsetThree = 3;
+constexpr size_t kMinShapeSizeTwo = 2;
+constexpr size_t kMinShapeSizeFour = 4;
 typedef OpParameter *(*ParameterGen)(const void *prim);
 
 class PopulateRegistry {
diff --git a/mindspore/lite/tools/converter/converter_flags.cc b/mindspore/lite/tools/converter/converter_flags.cc
index d97136bdf45..26062c85ddd 100644
--- a/mindspore/lite/tools/converter/converter_flags.cc
+++ b/mindspore/lite/tools/converter/converter_flags.cc
@@ -32,6 +32,7 @@ namespace converter {
 namespace {
 constexpr int kBase = 10;
 constexpr int kQuantBitNumInt16 = 16;
+constexpr int kPathLengthUpperLimit = 1024;
 }  // namespace
 Flags::Flags() {
   AddFlag(&Flags::fmkIn, "fmk", "Input model framework type. TF | TFLITE | CAFFE | MINDIR | ONNX", "");
@@ -428,7 +429,7 @@ std::string GetStrFromConfigFile(const std::string &file, const std::string &tar
   }
 
 #ifdef _WIN32
-  char *real_path = _fullpath(resolved_path.get(), file.c_str(), 1024);
+  char *real_path = _fullpath(resolved_path.get(), file.c_str(), kPathLengthUpperLimit);
 #else
   char *real_path = realpath(file.c_str(), resolved_path.get());
 #endif
@@ -486,7 +487,6 @@ std::vector<std::string> SplitStringToVector(const std::string &raw_str, const c
   }
   return res;
 }
-
 }  // namespace converter
 }  // namespace lite
 }  // namespace mindspore
diff --git a/mindspore/lite/tools/converter/registry/model_parser_registry.cc b/mindspore/lite/tools/converter/registry/model_parser_registry.cc
index 93796131f3c..975df7a09e0 100644
--- a/mindspore/lite/tools/converter/registry/model_parser_registry.cc
+++ b/mindspore/lite/tools/converter/registry/model_parser_registry.cc
@@ -46,6 +46,5 @@ int ModelParserRegistry::RegParser(const FmkType fmk, ModelParserCreator creator
   instance->parsers_[fmk] = creator;
   return RET_OK;
 }
-
 }  // namespace lite
 }  // namespace mindspore
diff --git a/mindspore/lite/tools/optimizer/common/gllo_utils.cc b/mindspore/lite/tools/optimizer/common/gllo_utils.cc
index ebb43ea0f87..7f3a6d8c99c 100644
--- a/mindspore/lite/tools/optimizer/common/gllo_utils.cc
+++ b/mindspore/lite/tools/optimizer/common/gllo_utils.cc
@@ -1494,9 +1494,7 @@ CNodePtr GenTransposeNode(const FuncGraphPtr &func_graph, const AnfNodePtr &inpu
   auto cnode = func_graph->NewCNode(trans_prim, {input_node, perm_node});
   MS_ASSERT(cnode != nullptr);
   cnode->set_fullname_with_scope(cnode_name);
-  size_t input_size = 2;
-  size_t output_size = 1;
-  auto quant_params_holder = std::make_shared<lite::QuantParamHolder>(input_size, output_size);
+  auto quant_params_holder = std::make_shared<lite::QuantParamHolder>(kInputSizeTwo, 1);
   auto trans_insert_prim = GetValueNode<PrimitivePtr>(cnode->input(0));
   trans_insert_prim->AddAttr("quant_params", quant_params_holder);
   return cnode;