Hello,
I am a newbie with pytorch and I am wondering what is the  best practice for variable length sentences sequences in CNNs.
I want to use CNN for feature selection on top of word emmbeding layer and then feed the output into LSTM .
Now I know pytorch has a dynamic graph and I was wondering if there is a way to this except padding .