update

cosyvoice/dataset/processor.py

@@ -405,7 +405,7 @@ def padding(data, use_spk_embedding, mode='train', gan=False, dpo=False):
             batch['instruct_token_len'] = torch.tensor([i.size(0) for i in instruct_token], dtype=torch.int32)
             batch['instruct_token'] = pad_sequence(instruct_token, batch_first=True, padding_value=0)
         if torch.tensor(['whisper_feat' in sample[i] for i in order]).all():
-            whisper_feat = [torch.tensor(sample[i]['whisper_feat']) for i in order]
+            whisper_feat = [sample[i]['whisper_feat'] for i in order]
             batch['whisper_feat_len'] = torch.tensor([i.size(0) for i in whisper_feat], dtype=torch.int32)
             batch['whisper_feat'] = pad_sequence(whisper_feat, batch_first=True, padding_value=0)
         if torch.tensor(['speech_token' in sample[i] for i in order]).all():