Can we use nn.LSTM with dropout=0.5 in training step but without dropout in evaluate step?
If I use dropout=0.5 to create the nn.LSTM then the dropout will always there（the number of my lstm is more than 2）.
How to deal with this question? Or I should use the LSTMcell ?
Thanks.