funasr/auto/auto_model.py
@@ -146,7 +146,7 @@ set_all_random_seed(kwargs.get("seed", 0)) device = kwargs.get("device", "cuda") if not torch.cuda.is_available() or kwargs.get("ngpu", 0): if not torch.cuda.is_available() or kwargs.get("ngpu", 0) == 0: device = "cpu" kwargs["batch_size"] = 1 kwargs["device"] = device @@ -377,7 +377,7 @@ result[k] = restored_data[j][k] else: result[k] = torch.cat([result[k], restored_data[j][k]], dim=0) elif k == 'text': elif k == 'raw_text': if k not in result: result[k] = restored_data[j][k] else: