modify static check

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

@@ -86,7 +86,11 @@ STATUS ConvertNcTensor2Nh(TensorT *tensor, const std::vector<int> &pad_dims) {
     delete[] new_nhwc_data;
     return RET_ERROR;
   }
-  memset(new_nhwc_data, 0, sizeof(float) * size);
+  if (memset_s(new_nhwc_data, sizeof(float) * size, 0, sizeof(float) * size) != EOK) {
+    MS_LOG(ERROR) << "create new nhwc data failed";
+    delete[] new_nhwc_data;
+    return RET_ERROR;
+  }
   auto nchw_data = reinterpret_cast<float *>(tensor->data.data());
   // nchw to nhwc
   for (auto i = 0; i < batch; i++) {
@@ -100,7 +104,11 @@ STATUS ConvertNcTensor2Nh(TensorT *tensor, const std::vector<int> &pad_dims) {
       }
     }
   }
-  memcpy(nchw_data, new_nhwc_data, sizeof(float) * size);
+  if (memcpy_s(nchw_data, tensor->data.size(), new_nhwc_data, sizeof(float) * size) != EOK) {
+    MS_LOG(ERROR) << "memcpy_s failed";
+    delete[] new_nhwc_data;
+    return RET_ERROR;
+  }
   delete[] new_nhwc_data;
   return RET_OK;
 }
@@ -129,7 +137,7 @@ STATUS GlobalFormatTransformPass::TransWeightToNhwc(MetaGraphT *graph, const std
           MS_LOG(ERROR) << "tensor origin tensor size error";
           return RET_ERROR;
         }
-        if (origin_dims.size() == 0) {
+        if (origin_dims.empty()) {
           continue;
         }
         auto pad_dims = origin_dims;

mindspore/lite/tools/lib_cropper/lib_cropper.cc

@@ -35,7 +35,7 @@ int Cropper::ReadPackage() {
     MS_LOG(DEBUG) << cmd;
 
     FILE *p_file = popen(cmd.c_str(), "r");
-    if (!p_file) {
+    if (p_file == nullptr) {
       MS_LOG(ERROR) << "Error to popen" << this->flags_->package_file_;
       return RET_ERROR;
     }
@@ -140,13 +140,14 @@ int Cropper::GetModelFiles() {
 
     char buf[BUF_SIZE];
     FILE *p_file = popen(cmd.c_str(), "r");
-    if (!p_file) {
+    if (p_file == nullptr) {
       MS_LOG(ERROR) << "Error to popen";
       return RET_ERROR;
     }
     while (fgets(buf, BUF_SIZE, p_file) != nullptr) {
       String realPath = RealPath(String(buf).substr(0, String(buf).length() - 1).c_str());
       if (realPath.empty()) {
+        pclose(p_file);
         return RET_INPUT_PARAM_INVALID;
       }
       this->model_files_.emplace_back(realPath);

mindspore/lite/tools/optimizer/fusion/conv_conv_fusion.cc

@@ -69,7 +69,11 @@ STATUS GenNewConvBias(const ParameterPtr &down_bias_node, const ParameterPtr &do
     MS_LOG(ERROR) << "tensor_data is nullptr";
     return RET_ERROR;
   }
-  memset(new_bias_data, 0, new_bias_size * sizeof(float));
+  if (memset_s(new_bias_data, new_bias_size * sizeof(float), 0, new_bias_size * sizeof(float)) != EOK) {
+    MS_LOG(ERROR) << "memset_s failed";
+    delete[] new_bias_data;
+    return RET_ERROR;
+  }
   auto up_bias_size = up_bias_shape[0];
   for (int i = 0; i < new_bias_size; i++) {
     for (int j = 0; j < up_bias_size; j++) {
@@ -112,8 +116,11 @@ STATUS GenNewConvWeight(const ParameterPtr &down_weight_node, const ParameterPtr
     MS_LOG(ERROR) << "tensor_data is nullptr";
     return RET_ERROR;
   }
-  memset(new_weight_data, 0, size * sizeof(float));
+  if (memset_s(new_weight_data, size * sizeof(float), 0, size * sizeof(float)) != EOK) {
-
+    MS_LOG(ERROR) << "memset_s failed";
+    delete[] new_weight_data;
+    return RET_ERROR;
+  }
   for (int i = 0; i < cout1; i++) {
     auto down_weight_base = i * cout0;
     auto new_weight_base = i * window_size * cin0;

mindspore/lite/tools/optimizer/graph/infershape_pass.cc

@@ -89,8 +89,9 @@ STATUS InferShapePass::SetParameterAbstract(const ParameterPtr &parameter) {
       return RET_ERROR;
     }
     auto ret = memcpy_s(tensor_data, new_value->tensor_size(), param_value->tensor_addr(), param_value->tensor_size());
-    if (ret != RET_OK) {
+    if (ret != EOK) {
       MS_LOG(ERROR) << "memcpy error: " << ret;
+      delete[] tensor_data;
       return RET_ERROR;
     }
     new_value->set_tensor_addr(tensor_data);