diff --git a/fastdeploy/runtime/backends/paddle/paddle_backend.cc b/fastdeploy/runtime/backends/paddle/paddle_backend.cc
old mode 100644
new mode 100755
index 09dbe812a..dc804e926
--- a/fastdeploy/runtime/backends/paddle/paddle_backend.cc
+++ b/fastdeploy/runtime/backends/paddle/paddle_backend.cc
@@ -29,6 +29,10 @@ void PaddleBackend::BuildOption(const PaddleBackendOption& option) {
       config_.SetExecStream(option_.external_stream_);
     }
     if (option.enable_trt) {
+      if (!option.trt_option.enable_fp16) {
+        FDINFO << "Will try to use tensorrt inference with Paddle Backend."
+               << std::endl;
+      }
       config_.Exp_DisableTensorRtOPs(option.trt_disabled_ops_);
       auto precision = paddle_infer::PrecisionType::kFloat32;
       if (option.trt_option.enable_fp16) {
diff --git a/python/fastdeploy/runtime.py b/python/fastdeploy/runtime.py
old mode 100644
new mode 100755
index 6be764ea3..4980db52e
--- a/python/fastdeploy/runtime.py
+++ b/python/fastdeploy/runtime.py
@@ -532,9 +532,10 @@ class RuntimeOption:
         logging.warning("    option = fd.RuntimeOption()")
         logging.warning("    option.use_gpu(0)")
         logging.warning("    option.use_paddle_infer_backend()")
-        logging.warning("    option.paddle_infer_option.enabel_trt = True")
+        logging.warning("    option.paddle_infer_option.enable_trt = True")
         logging.warning("    ==============================================")
-        return self._option.enable_paddle_to_trt()
+        self._option.use_paddle_backend()
+        self._option.paddle_infer_option.enable_trt = True
 
     def set_trt_max_workspace_size(self, trt_max_workspace_size):
         """Set max workspace size while using TensorRT backend.