diff --git a/src/nnfusion/frontend/onnx_import/util/util.hpp b/src/nnfusion/frontend/onnx_import/util/util.hpp
index 21c82e078..23a136f01 100644
--- a/src/nnfusion/frontend/onnx_import/util/util.hpp
+++ b/src/nnfusion/frontend/onnx_import/util/util.hpp
@@ -148,52 +148,7 @@ namespace nnfusion
                     if (tensor.has_raw_data())
                     {
                         return  __get_raw_data<half_float::half>(tensor.raw_data());
-                    }else{
-                        NNFUSION_LOG(NNFUSION_WARNING) << "Have no raw data" << endl ;
                     }
-
-                    if (tensor.data_type() == onnx::TensorProto_DataType_FLOAT16)
-                    {
-                        nnfusion::Shape shape{std::begin(tensor.dims()), std::end(tensor.dims())};
-                        size_t num_element = shape_size(shape);
-                        std::vector<int32_t> raw_data = __get_data<int32_t>(tensor.int32_data());
-                        std::vector<half_float::half> ret((num_element + 1) / 2);
-                        uint32_t* src_p = (uint32_t*)raw_data.data();
-                        uint16_t* dst_p = (uint16_t*)ret.data();
-                        for (size_t i = 0; i < num_element; i++)
-                        {
-                            NNFUSION_CHECK((src_p[i] & 0xFFFF0000) == 0);
-                            dst_p[i] = src_p[i] & 0x0000FFFF;
-                        }
-                        if (num_element % 2 == 1)
-                        {
-                            dst_p[num_element] = 0;
-                        }
-
-                        return ret;
-                    }
-                    if (tensor.data_type() == onnx::TensorProto_DataType_FLOAT)
-                    {
-                        return __get_data<half_float::half>(tensor.float_data());
-                    }
-                    if (tensor.data_type() == onnx::TensorProto_DataType_INT32)
-                    {
-                        return __get_data<half_float::half>(tensor.int32_data());
-                    }
-                    if (tensor.data_type() == onnx::TensorProto_DataType_INT64)
-                    {
-                        return __get_data<half_float::half>(tensor.int64_data());
-                    }
-                    if (tensor.data_type() == onnx::TensorProto_DataType_UINT64)
-                    {
-                        return __get_data<half_float::half>(tensor.uint64_data());
-                    }
-                    NNFUSION_CHECK_FAIL()
-                        << "invalid data type: "
-                        << onnx::TensorProto_DataType_Name(
-                            static_cast<onnx::TensorProto_DataType>(tensor.data_type()));
-                    return std::vector<half_float::half>();
-
                 }
 
                 template <>