what should I do that I can eliminate all the dropout in predicting phrase? I tried eval() : moniter=criterion(model.eval()(input2_),target2) ... ... <看更多>

Documentation The documentation for F.dropout should probably mention that putting the model in eval mode doesn't disable dropout. ... <看更多>

... vs model.eval() vs torch.no_grad() - Paxoo/PyTorch-Best_Practices Wiki ... dropout and batchnorm to evaluation mode (dropout won't drop activations, ... ... <看更多>

Below is the dropout layer we implemented, based on PyTorch. ... input): # if model.eval(), don't apply dropout if not self.training: return input # So that ... ... <看更多>

PyTorch handles this with scaling the output of the dropout layer at training ... So it handles this itself after applying model.eval() . ... <看更多>

... <看更多>