!6655 MSLITE fix cppcheck

Merge pull request !6655 from 徐安越/master

mindspore/lite/src/lite_session.cc

@@ -91,7 +91,7 @@ int LiteSession::ConvertTensors(const lite::Model *model) {
         auto dst_data = dstTensor->MutableData();
         if (dst_data == nullptr) {
           MS_LOG(ERROR) << "MutableData from " << i << "th tensor is nullptr";
-          free(dstTensor);
+          delete dstTensor;
           return RET_ERROR;
         }
         memcpy(dst_data, srcTensor->data()->data(), dstTensor->Size());

mindspore/lite/src/model.cc

@@ -34,7 +34,7 @@ bool ConvertNodes(const schema::MetaGraph *meta_graph, Model *model) {
     node->primitive_ = PrimitiveC::Create(const_cast<schema::Primitive *>(src_prim));
     if (node->primitive_ == nullptr) {
       MS_LOG(ERROR) << "unpack primitive == nullptr!";
-      free(node);
+      delete node;
       return false;
     }
     node->primitive_->SetQuantType(c_node->quantType());
@@ -94,7 +94,6 @@ Model *Model::Import(const char *model_buf, size_t size) {
   if (meta_graph == nullptr) {
     MS_LOG(ERROR) << "meta_graph is nullptr!";
     delete(model);
-    free(model->buf);
     return nullptr;
   }
 

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

@@ -104,6 +104,7 @@ int GenConvNewBias(const FuncGraphPtr &func_graph, const CNodePtr &conv_node, co
   }
   auto bias_add_weight = bias_node->input(kAddWEIGHTINDEX);
   if (CheckIfNodeIsParam(bias_add_weight) != lite::RET_OK) {
+      delete[] add_bias_data;
       return lite::RET_INVALID_OP_ATTR;
   }
   auto add_weight_param = bias_add_weight->cast<ParameterPtr>()->default_param();

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

@@ -230,6 +230,7 @@ const void ConvTransformFusion::CalNewWeightTensor(float *weight_data, int kerne
   if (ret != EOK) {
     MS_LOG(ERROR) << "memcpy error: " << ret;
     lite::ReturnCode::GetSingleReturnCode()->UpdateReturnCode(lite::RET_MEMORY_FAILED);
+    delete[] tmp_weight_data;
     return;
   }
 
@@ -247,6 +248,7 @@ const void ConvTransformFusion::CalNewBiasTensor(float *bias_data, int kernel_nu
     if (EOK != memset_s(tmp_bias_data, kernel_num * sizeof(float), 0, kernel_num * sizeof(float))) {
       MS_LOG(ERROR) << "memset bias data failed";
       lite::ReturnCode::GetSingleReturnCode()->UpdateReturnCode(lite::RET_MEMORY_FAILED);
+      delete[] tmp_bias_data;
       return;
     }
     for (int i = 0; i < kernel_num; i++) {