fix

modelscope/pipelines/base.py

@@ -197,7 +197,9 @@ class Pipeline(ABC):
 
         # simple showcase, need to support iterator type for both tensorflow and pytorch
         # input_dict = self._handle_input(input)
-
+        print('__call__')
+        print(input)
+        print(kwargs)
         # sanitize the parameters
         batch_size = kwargs.pop('batch_size', None)
         preprocess_params, forward_params, postprocess_params = self._sanitize_parameters(