diff --git a/src/tensorrt/impl/tensorrt_opr.cpp b/src/tensorrt/impl/tensorrt_opr.cpp
index 009b36aa4fb3a7c70421d1d3922988de100d0434..9e1a630ada0745dbef4b032483d26917bf4734b0 100644
--- a/src/tensorrt/impl/tensorrt_opr.cpp
+++ b/src/tensorrt/impl/tensorrt_opr.cpp
@@ -72,13 +72,13 @@ void TensorRTOpr::Logger::log(nvinfer1::ILogger::Severity severity,
                               const char* msg) {
     switch (severity) {
         case Severity::kINTERNAL_ERROR:
-            mgb_log_error("TRT_INTERNAL_ERROR: %s", msg);
+            mgb_log("TRT_INTERNAL_ERROR: %s", msg);
             return;
         case Severity::kERROR:
-            mgb_log_error("TRT_ERROR: %s", msg);
+            mgb_log("TRT_ERROR: %s", msg);
             return;
         case Severity::kWARNING:
-            mgb_log_warn("TRT_WARNING: %s", msg);
+            mgb_log("TRT_WARNING: %s", msg);
             return;
         case Severity::kINFO:
             mgb_log_debug("TRT_INFO: %s", msg);
@@ -167,7 +167,7 @@ void TensorRTManager::exec(cg::SingleCNOperatorNodeBase* opr,
                            CompNode comp_node_check,
                            nvinfer1::ICudaEngine* engine,
                            size_t batch) {
-    
+
     auto comp_node = opr->comp_node();
     // ICudaEngine is bound to the currently active device
     comp_node.activate();
@@ -360,7 +360,7 @@ SymbolVarArray TensorRTOpr::make(
         std::shared_ptr<nvinfer1::INetworkDefinition> network,
         TensorRTGraphFeatureBits feature_bits,
         std::shared_ptr<GpuAllocator> gpu_allocator, const SymbolVarArray& src,
-        std::shared_ptr<nvinfer1::ICudaEngine> engine,  
+        std::shared_ptr<nvinfer1::ICudaEngine> engine,
         const OperatorNodeConfig& config) {
     VarNodeArray var_node_array = cg::to_var_node_array(src);
     auto tensor_rt_opr = std::make_unique<TensorRTOpr>(