diff --git a/ppocr/modeling/transforms/tps.py b/ppocr/modeling/transforms/tps.py
index de4bb7a686b0c8ff838338ffe51bb0ea1952057c..81221b0351944ef8a054d44d3857a8c0ad61e052 100644
--- a/ppocr/modeling/transforms/tps.py
+++ b/ppocr/modeling/transforms/tps.py
@@ -326,6 +326,4 @@ class STN_ON(nn.Layer):
             image, self.tps_inputsize, mode="bilinear", align_corners=True)
         stn_img_feat, ctrl_points = self.stn_head(stn_input)
         x, _ = self.tps(image, ctrl_points)
-        #print("x:", np.sum(x.numpy()))
-        # print(x.shape)
         return x
diff --git a/tools/program.py b/tools/program.py
index 3479ff26fc3cfab39e658b03f626333100f8ed74..f77c69f88f50a4b4762b8003dc3efbd8580c3faa 100755
--- a/tools/program.py
+++ b/tools/program.py
@@ -215,9 +215,6 @@ def train(config,
                 preds = model(images, data=batch[1:])
             else:
                 preds = model(images)
-            state_dict = model.state_dict()
-            # for key in state_dict:
-            #     print(key)
             loss = loss_class(preds, batch)
             avg_loss = loss['loss']
             avg_loss.backward()
@@ -414,7 +411,6 @@ def preprocess(is_train=False):
             yaml.dump(
                 dict(config), f, default_flow_style=False, sort_keys=False)
         log_file = '{}/train.log'.format(save_model_dir)
-        print("log has save in {}/train.log".format(save_model_dir))
     else:
         log_file = None
     logger = get_logger(name='root', log_file=log_file)
diff --git a/tools/train.py b/tools/train.py
index e1515f57c9402adf1f7d00c03aee78ea20c2a371..20f5a670d5c8e666678259e0042b3b790e528590 100755
--- a/tools/train.py
+++ b/tools/train.py
@@ -72,8 +72,6 @@ def main(config, device, logger, vdl_writer):
     # for rec algorithm
     if hasattr(post_process_class, 'character'):
         char_num = len(getattr(post_process_class, 'character'))
-        character = getattr(post_process_class, 'character')
-        print("getattr character:", character)
         if config['Architecture']["algorithm"] in ["Distillation",
                                                    ]:  # distillation model
             for key in config['Architecture']["Models"]: