funasr/models/llm_asr/model.py
@@ -481,7 +481,7 @@ batch_size, token_num, dims = inputs_embeds.shape fbank_mask[fbank_mask < 0] = 0 fbank_fake_lens = fbank_mask.sum(-1) fbank_fake_lens = fbank_mask.sum(-1).to(torch.int32) # _, l, _ = encoder_out.shape for batch_idx in range(batch_size):
