diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp
index b5986a9cb..422111c04 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
index 29283429b..ca457ef89 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
@@ -1131,12 +1131,15 @@ def run(rank, world_size, args, wb=None):
     if params.multi_optim:
         logging.info("Using seperate optimizers over encoder, decoder ...")
         enc_param = []
+
+        dec_names = []
         dec_param = []
         for n, p in model.named_parameters():
             name = n.split('.')[1]
             if name == 'encoder' and 'feature_extractor' not in n:
                 enc_param.append(p)
             elif 'feature_extractor' not in n:
+                dec_names.append(n)
                 dec_param.append(p)
 
         if wb is None: