diff --git a/ppocr/postprocess/rec_postprocess.py b/ppocr/postprocess/rec_postprocess.py
index 0ffe917b0eb519cb0dc15efd69ccb40962a308b8..3bc7bcdf9b388bb8da6c656682e2e06a18a0f4fb 100644
--- a/ppocr/postprocess/rec_postprocess.py
+++ b/ppocr/postprocess/rec_postprocess.py
@@ -93,7 +93,6 @@ class CTCLabelDecode(BaseRecLabelDecode):
             preds = preds[-1]
         if isinstance(preds, paddle.Tensor):
             preds = preds.numpy()
-        print(preds.shape)
         preds_idx = preds.argmax(axis=2)
         preds_prob = preds.max(axis=2)
         text = self.decode(preds_idx, preds_prob, is_remove_duplicate=True)
diff --git a/tools/infer/utility.py b/tools/infer/utility.py
index 1b282a0112a96a74f1f0b539c29ca8142191564e..fd2605d963db38ed74908f4e069fa480cfd01baf 100644
--- a/tools/infer/utility.py
+++ b/tools/infer/utility.py
@@ -313,12 +313,6 @@ def create_predictor(args, mode, logger):
         for name in input_names:
             input_tensor = predictor.get_input_handle(name)
         output_tensors = get_output_tensors(args, mode, predictor)
-        #output_names = predictor.get_output_names()
-        #output_tensors = []
-        #print("output names", output_names)
-        #for output_name in output_names:
-        #    output_tensor = predictor.get_output_handle(output_name)
-        #    output_tensors.append(output_tensor)
         return predictor, input_tensor, output_tensors, config