diff --git a/x2paddle/convert.py b/x2paddle/convert.py
index a12a00a11a1af4fff2093f25fb25731971de3353..a7e4b6059da5dd9f0b91c643ce2fdad087b359fe 100644
--- a/x2paddle/convert.py
+++ b/x2paddle/convert.py
@@ -194,6 +194,18 @@ def main():
     assert args.framework is not None, "--framework is not defined(support tensorflow/caffe/onnx)"
     assert args.save_dir is not None, "--save_dir is not defined"
 
+    if args.framework == "onnx":
+        try:
+            import onnxruntime as rt
+            version = rt.__version__
+            if version != '1.0.0':
+                print("onnxruntime==1.0.0 is required")
+                return
+        except:
+            print(
+                "onnxruntime is not installed, use \"pip install onnxruntime==1.0.0\"."
+            )
+
     try:
         import paddle
         v0, v1, v2 = paddle.__version__.split('.')
diff --git a/x2paddle/decoder/onnx_decoder.py b/x2paddle/decoder/onnx_decoder.py
index e464fe90c81746fee50cb1c835a03c203edbfa41..0a385003eb63d45ce43a3b6fd36f12f2f240cdd7 100644
--- a/x2paddle/decoder/onnx_decoder.py
+++ b/x2paddle/decoder/onnx_decoder.py
@@ -476,17 +476,7 @@ class ONNXDecoder(object):
         return 'x2paddle_' + name
 
     def check_model_running_state(self, model_path):
-        try:
-            import onnxruntime as rt
-            version = rt.__version__
-            if version != '1.0.0':
-                print("onnxruntime==1.0.0 is required")
-                return
-        except:
-            raise Exception(
-                "onnxruntime is not installed, use \"pip install onnxruntime==1.0.0\"."
-            )
-
+        import onnxruntime as rt
         model = onnx.load(model_path)
         model = onnx.shape_inference.infer_shapes(model)
         if len(model.graph.value_info) < len(model.graph.node) - 1: