Update executor.py

Author: whiteshirt0429

wenet/utils/executor.py

@@ -40,7 +40,8 @@ def train(self, model, optimizer, scheduler, data_loader, writer, configs,
                      ' larger than before'.format(info_dict['accum_grad']))
         if info_dict["model_conf"]["apply_non_blank_embedding"]:
             logging.warn(
-                'Had better load a well trained model if apply_non_blank_embedding is true !!!'
+                'Had better load a well trained model if'
+                'apply_non_blank_embedding is true !!!'
             )
         # A context manager to be used in conjunction with an instance of
         # torch.nn.parallel.DistributedDataParallel to be able to train