Lint

Author: srkreddy1238

python/tvm/relax/frontend/tflite/tflite_frontend.py

@@ -664,7 +664,6 @@ def convert_reshape(self, op):
                     parameters={
                         k: tvm.runtime.tensor(np.array(v)) for k, v in self.exp_tab.params.items()
                     },
-
                 )
                 if success:
                     # convert to flattened list

tests/python/relax/test_frontend_tflite.py

@@ -56,7 +56,9 @@ def _get_tflite_model(tflite_model_path, inputs_dict):
 def test_squeezenet():
     def get_model():
         inputs = {"Placeholder": ((1, 224, 224, 3), "float32")}
-        mod = _get_tflite_model(os.environ["CI_TEST_INVENTORY"] + "/squeezenet.tflite", inputs_dict=inputs)
+        mod = _get_tflite_model(
+            os.environ["CI_TEST_INVENTORY"] + "/squeezenet.tflite", inputs_dict=inputs
+        )
         return mod
 
     mod = get_model()