在使用多worker进行数据读取时报以下错误：
Original Traceback (most recent call last):
File "/hpc/users/HKUST-GZ/mics/.conda/envs/event/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
data = fetcher.fetch(index)
File "/hpc/users/HKUST-GZ/mics/.conda/envs/event/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
return self.collate_fn(data)
File "/hpc/users/HKUST-GZ/mics/smy/share/event_to_frame/utils/loader.py", line 32, in collate_events
events = default_collate(events)
File "/hpc/users/HKUST-GZ/mics/.conda/envs/event/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 138, in default_collate
return torch.stack(batch, 0, out=out)
RuntimeError: stack(): functions with out=... arguments don't support automatic differentiation, but one of the arguments requires grad.
网上简单搜索了一下发现这个和我的问题几乎一样，根据回答来看问题应该是出在输入数据的require_grad=True，在获取数据的时候在其最后加个.detach()取消梯度即可解决问题，如events=events.detach()。
