Xia Qiaolin - 优快云

错误提示： RuntimeError: Expected to have finished reduction in the prior iteration before starting a new one. This error indicates th at your module has parameters that were not used in producing loss. You can enable unused parameter detection by (1) passin g

Pytorch DDP would fail when using the parameters directly to calculate the loss. These are my scripts: # train.py: class Model(nn.Module): def __init__(self, params): ... self.xnli_proj = nn.Linear(dim, 3) ... model = Model(params) output = model.x

Since PyTorch seems to adopt lazy way of initializing workers, this means that the actual file opening has to happen inside of thegetitemfunction of the Dataset wrapper. https://discuss.pytorch.org...

1. Pytorch's CPU's and GPU's seeds are independent. So set/save/load them independently https://discuss.pytorch.org/t/are-gpu-and-cpu-random-seeds-independent/142 2. If you use randomness on several...