!9226 modify static check

From: @lyvette
Reviewed-by: @hangangqiang,@zhanghaibo5
Signed-off-by: @hangangqiang

mindspore/lite/src/ops/populate/split_populate.cc

@@ -23,7 +23,7 @@ namespace mindspore {
 namespace lite {
 
 OpParameter *PopulateSplitParameter(const mindspore::lite::PrimitiveC *primitive) {
-  SplitParameter *split_param = reinterpret_cast<SplitParameter *>(malloc(sizeof(SplitParameter)));
+  auto *split_param = reinterpret_cast<SplitParameter *>(malloc(sizeof(SplitParameter)));
   if (split_param == nullptr) {
     MS_LOG(ERROR) << "malloc SplitParameter failed.";
     return nullptr;
@@ -35,14 +35,15 @@ OpParameter *PopulateSplitParameter(const mindspore::lite::PrimitiveC *primitive
   int *split_sizes = reinterpret_cast<int *>(malloc(split_param->num_split_ * sizeof(int)));
   if (split_sizes == nullptr) {
     MS_LOG(ERROR) << "malloc split size of SplitParameter failed.";
+    free(split_param);
     return nullptr;
   }
   memset(split_sizes, 0, split_param->num_split_ * sizeof(int));
   split_param->split_sizes_ = split_sizes;
   auto split_sizes_vector_ = param->GetSizeSplits();
   int i = 0;
-  for (auto iter = split_sizes_vector_.begin(); iter != split_sizes_vector_.end(); iter++) {
-    split_param->split_sizes_[i++] = *iter;
+  for (int &iter : split_sizes_vector_) {
+    split_param->split_sizes_[i++] = iter;
   }
   split_param->split_dim_ = param->GetSplitDim();
   return reinterpret_cast<OpParameter *>(split_param);

mindspore/lite/tools/converter/legacy_optimizer/graph/infershape_pass.cc

@@ -72,9 +72,8 @@ std::vector<Tensor *> ConvertTensorToLiteTensor(MetaGraphT *graph, const std::ve
       convert_succ = false;
       break;
     }
-    ret = memcpy_s(lite_tensor->MutableData(), lite_tensor->Size(), tensorT->data.data(), lite_tensor_size);
-    if (ret != EOK) {
-      MS_LOG(ERROR) << "memcpy error: " << ret;
+    if (memcpy_s(lite_tensor->MutableData(), lite_tensor->Size(), tensorT->data.data(), lite_tensor_size) != EOK) {
+      MS_LOG(ERROR) << "memcpy_s failed";
       convert_succ = false;
       break;
     }

mindspore/lite/tools/converter/parser/caffe/caffe_scale_parser.cc

@@ -49,7 +49,6 @@ STATUS CaffeScaleParser::Parse(const caffe::LayerParameter &proto, const caffe::
   }
 
   const caffe::ScaleParameter &scaleParam = weight.scale_param();
-  int axis = 1;
   if (scaleParam.has_axis()) {
     uint32_t axis_index = 1;
     if (GetAxisIndex(scaleParam.axis(), &axis_index)) {
@@ -57,7 +56,7 @@ STATUS CaffeScaleParser::Parse(const caffe::LayerParameter &proto, const caffe::
       return RET_ERROR;
     }
   }
-  attr->axis = axis;
+  attr->axis = 1;
 
   // parse scale
   if (weight.blobs().size() == 1) {

mindspore/lite/tools/converter/parser/tf/tf_model_parser.cc

@@ -81,6 +81,7 @@ STATUS TFModelParser::ConvertConstTensor(const tensorflow::AttrValue &attr_value
       auto ret = ::memcpy_s(tensor_data, shape_size * sizeof(float), addr, shape_size * sizeof(float));
       if (ret != EOK) {
         MS_LOG(ERROR) << "memcpy_s failed";
+        delete[] tensor_data;
         return RET_ERROR;
       }
     }
@@ -99,6 +100,7 @@ STATUS TFModelParser::ConvertConstTensor(const tensorflow::AttrValue &attr_value
       auto ret = ::memcpy_s(tensor_data, shape_size * sizeof(int32_t), addr, shape_size * sizeof(int32_t));
       if (ret != EOK) {
         MS_LOG(ERROR) << "memcpy_s failed";
+        delete[] tensor_data;
         return RET_ERROR;
       }
     }