Apply Sequential to every RNN output in the Sequence

[dgriff]

I just explained how one could do here:

LSTM time-series prediction

no problem. and to do something like this in pytorch you would just do something like: output, (hx, cx) = model((input, (hx, cx)) and then in def forward: def forward(self, inputs): x, (hx, cx) = inputs x = x.view(x.size(0), -1) hx, cx = self.lstm(x, (hx, cx)) x = hx return x, (hx, cx) obviously a lot of other stuff in there for your desired outputs but thats the underlying basics to it

You don’t want to use sequential its not best module for this and should make own custom nn.model to do. Let me know if need more explaining