funasr/bin/train.py
@@ -102,7 +102,7 @@ if use_ddp: model = model.cuda(local_rank) model = DDP(model, device_ids=[local_rank], find_unused_parameters=kwargs.get("train_conf", {}).get("find_unused_parameters", False)) find_unused_parameters=kwargs.get("train_conf", {}).get("find_unused_parameters", True)) elif use_fsdp: # model = FSDP(model).cuda(local_rank)