diff --git a/mindspore/lite/tools/converter/converter_flags.cc b/mindspore/lite/tools/converter/converter_flags.cc
index 1705729b2f..f26e2687cb 100644
--- a/mindspore/lite/tools/converter/converter_flags.cc
+++ b/mindspore/lite/tools/converter/converter_flags.cc
@@ -104,7 +104,7 @@ int Flags::InitFmk() {
 }
 
 bool Flags::IsValidNum(const std::string &str, int *num) {
-  char *ptr;
+  char *ptr = nullptr;
   *num = strtol(str.c_str(), &ptr, 10);
   return ptr == (str.c_str() + str.size());
 }
diff --git a/mindspore/lite/tools/optimizer/fusion/conv_transform_fusion.cc b/mindspore/lite/tools/optimizer/fusion/conv_transform_fusion.cc
index 6483b36ad0..148ffbc24f 100644
--- a/mindspore/lite/tools/optimizer/fusion/conv_transform_fusion.cc
+++ b/mindspore/lite/tools/optimizer/fusion/conv_transform_fusion.cc
@@ -60,6 +60,7 @@ void GenerateNewWeightConv2D(float *dst_weight, const float *conv_weight, const
       dst_weight[i] = conv_weight[i] * scale_weight[i % kernel_num];
     }
   } else {
+    MS_ASSERT(kernel_num > 0);
     auto kernel_size = weight_shape_size / kernel_num;
     for (int i = 0; i < kernel_num; i++) {
       for (int j = 0; j < kernel_size; j++) {
@@ -87,6 +88,7 @@ void GenerateNewWeightConv2DTranspose(float *dst_weight, const float *scale_weig
       }
     }
   } else {
+    MS_ASSERT(group > 0);
     auto cin_group = weight_tensor->shape()[0] / group;
     int area_size = weight_tensor->shape()[2] * weight_tensor->shape()[3];
     int cout_size = kernel_num * area_size;