diff --git a/tests/onnx/auto_scan_test.py b/tests/onnx/auto_scan_test.py
index e566611060cf65b8c9e07189907ee3313154e307..614b20e2e9642f7bc57808ca3203048ee659808f 100644
--- a/tests/onnx/auto_scan_test.py
+++ b/tests/onnx/auto_scan_test.py
@@ -48,7 +48,7 @@ settings.register_profile(
     derandomize=True,
     report_multiple_bugs=False)
 if float(os.getenv('TEST_NUM_PERCENT_CASES', default='1.0')) < 1 or \
-    os.getenv('HYPOTHESIS_TEST_PROFILE', 'dev') == 'ci':
+        os.getenv('HYPOTHESIS_TEST_PROFILE', 'dev') == 'ci':
     settings.load_profile("ci")
 else:
     settings.load_profile("dev")
diff --git a/tests/onnx/onnxbase.py b/tests/onnx/onnxbase.py
index 7f2fcc75827c4b76da159a1f19c07f40cb4dba66..b5f9db718b8c8be7fe2d76c002cc04233029ee97 100644
--- a/tests/onnx/onnxbase.py
+++ b/tests/onnx/onnxbase.py
@@ -189,12 +189,12 @@ class ONNXConverter(object):
         paddle_tensor_feed = list()
         for i in range(len(self.input_feed)):
             paddle_numpy_feed.append(self.input_feed[self.inputs_name[i]])
-            paddle_tensor_feed.append(paddle.to_tensor(self.input_feed[self.inputs_name[i]]))
+            paddle_tensor_feed.append(
+                paddle.to_tensor(self.input_feed[self.inputs_name[i]]))
 
         if self.run_dynamic:
-            paddle_path = os.path.join(
-                self.pwd, self.name,
-                self.name + '_' + str(ver) + '_paddle/')
+            paddle_path = os.path.join(self.pwd, self.name,
+                                       self.name + '_' + str(ver) + '_paddle/')
             import sys
             sys.path.append(paddle_path)
             from x2paddle_code import main