diff --git a/mindspore/lite/tools/converter/parser/onnx/onnx_node_parser.cc b/mindspore/lite/tools/converter/parser/onnx/onnx_node_parser.cc
index 5443d9ca9a..7da40b6f54 100644
--- a/mindspore/lite/tools/converter/parser/onnx/onnx_node_parser.cc
+++ b/mindspore/lite/tools/converter/parser/onnx/onnx_node_parser.cc
@@ -48,20 +48,38 @@ STATUS OnnxNodeParser::GetTensorDataFromOnnx(const onnx::TensorProto &onnx_tenso
   switch (onnx_tensor.data_type()) {
     case onnx::TensorProto_DataType_FLOAT:
       *type = OnnxModelParser::GetDataTypeFromOnnx(onnx::TensorProto_DataType_FLOAT);
-      for (size_t i = 0; i < data_count; i++) {
-        value->push_back(reinterpret_cast<const float *>(onnx_tensor.raw_data().data())[i]);
+      if (onnx_tensor.float_data_size() > 0) {
+        for (int i = 0; i < onnx_tensor.float_data_size(); i++) {
+          value->push_back(onnx_tensor.float_data(i));
+        }
+      } else {
+        for (size_t i = 0; i < data_count; i++) {
+          value->push_back(reinterpret_cast<const float *>(onnx_tensor.raw_data().data())[i]);
+        }
       }
       break;
     case onnx::TensorProto_DataType_INT32:
       *type = OnnxModelParser::GetDataTypeFromOnnx(onnx::TensorProto_DataType_INT32);
-      for (size_t i = 0; i < data_count; i++) {
-        value->push_back(static_cast<float>(reinterpret_cast<const int32_t *>(onnx_tensor.raw_data().data())[i]));
+      if (onnx_tensor.int32_data_size() > 0) {
+        for (int i = 0; i < onnx_tensor.int32_data_size(); i++) {
+          value->push_back(onnx_tensor.int32_data(i));
+        }
+      } else {
+        for (size_t i = 0; i < data_count; i++) {
+          value->push_back(static_cast<float>(reinterpret_cast<const int32_t *>(onnx_tensor.raw_data().data())[i]));
+        }
       }
       break;
     case onnx::TensorProto_DataType_INT64:
       *type = OnnxModelParser::GetDataTypeFromOnnx(onnx::TensorProto_DataType_INT32);
-      for (size_t i = 0; i < data_count; i++) {
-        value->push_back(static_cast<float>(reinterpret_cast<const int64_t *>(onnx_tensor.raw_data().data())[i]));
+      if (onnx_tensor.int64_data_size() > 0) {
+        for (int i = 0; i < onnx_tensor.int64_data_size(); i++) {
+          value->push_back(onnx_tensor.int64_data(i));
+        }
+      } else {
+        for (size_t i = 0; i < data_count; i++) {
+          value->push_back(static_cast<float>(reinterpret_cast<const int64_t *>(onnx_tensor.raw_data().data())[i]));
+        }
       }
       break;
     default: