diff --git a/mindspore/lite/tools/converter/legacy_optimizer/graph/infershape_pass.cc b/mindspore/lite/tools/converter/legacy_optimizer/graph/infershape_pass.cc
index b5d6d1acdef..b6f579b347e 100644
--- a/mindspore/lite/tools/converter/legacy_optimizer/graph/infershape_pass.cc
+++ b/mindspore/lite/tools/converter/legacy_optimizer/graph/infershape_pass.cc
@@ -40,7 +40,9 @@ void FreeTensors(std::vector<Tensor *> *input_tensors, std::vector<Tensor *> *ou
     return;
   }
   for (auto &tensor : *input_tensors) {
-    tensor->set_data(nullptr);
+    if (tensor->data_type() != kObjectTypeString && tensor->data_type() != kObjectTypeTensorType) {
+      tensor->set_data(nullptr);
+    }
     delete tensor;
     tensor = nullptr;
   }
@@ -48,7 +50,9 @@ void FreeTensors(std::vector<Tensor *> *input_tensors, std::vector<Tensor *> *ou
     return;
   }
   for (auto &tensor : *output_tensors) {
-    tensor->set_data(nullptr);
+    if (tensor->data_type() != kObjectTypeString && tensor->data_type() != kObjectTypeTensorType) {
+      tensor->set_data(nullptr);
+    }
     delete tensor;
     tensor = nullptr;
   }
@@ -130,12 +134,6 @@ void ConvertOtherTensor(MetaGraphT *graph, uint32_t index, bool *convert_succ, s
     lite_tensors->emplace_back(lite_tensor.release());
     return;
   }
-  auto ret = lite_tensor->MallocData();
-  if (ret != RET_OK) {
-    MS_LOG(ERROR) << "Malloc tensor data failed";
-    *convert_succ = false;
-    return;
-  }
   if (lite_tensor->root_tensor() != nullptr) {
     lite_tensor->root_tensor()->set_data(tensorT->data.data());
   } else {
diff --git a/mindspore/lite/tools/optimizer/fusion/conv_transform_fusion.cc b/mindspore/lite/tools/optimizer/fusion/conv_transform_fusion.cc
index d3716d15093..0d8fc7e40d4 100644
--- a/mindspore/lite/tools/optimizer/fusion/conv_transform_fusion.cc
+++ b/mindspore/lite/tools/optimizer/fusion/conv_transform_fusion.cc
@@ -209,6 +209,7 @@ void ConvTransformFusion::GenNewConvTensor(const FuncGraphPtr &func_graph, const
   CalNewBiasTensor(bias_data, kernel_num, bias_flag, trans_scale, trans_bias);
   if (!bias_flag) {
     auto bias_node = AddNewBiasNode(bias_data, func_graph, kernel_num, weight_tensor);
+    delete[] bias_data;
     bias_node->set_name(conv_node->fullname_with_scope() + "_bias");
     conv_node->add_input(bias_node);
   }
diff --git a/mindspore/lite/tools/optimizer/graph/node_infershape.cc b/mindspore/lite/tools/optimizer/graph/node_infershape.cc
index decbdbc54d6..794c0a0ac4a 100644
--- a/mindspore/lite/tools/optimizer/graph/node_infershape.cc
+++ b/mindspore/lite/tools/optimizer/graph/node_infershape.cc
@@ -452,7 +452,7 @@ STATUS NodeInferShape::ConvertToLiteTensor(const std::vector<lite::DataInfo> &da
           return RET_ERROR;
         }
       } else {
-        auto tensor_data = new (std::nothrow) char[tensor_size];
+        auto tensor_data = reinterpret_cast<char *>(malloc(tensor_size));
         if (tensor_data == nullptr) {
           MS_LOG(ERROR) << "tensor_data is nullptr";
           delete tensor;
@@ -460,7 +460,7 @@ STATUS NodeInferShape::ConvertToLiteTensor(const std::vector<lite::DataInfo> &da
         }
         if (memcpy_s(tensor_data, tensor_size, data_info.data_.data(), tensor_size) != EOK) {
           delete tensor;
-          delete[](tensor_data);
+          free(tensor_data);
           MS_LOG(ERROR) << "memcpy error: ";
           return lite::RET_ERROR;
         }