Solved by austin in post #2 
              
              
                Hi Duane! 
In most cases you can side step this issue by using nn.LSTM instead of nn.LSTMCell 
docs: http://pytorch.org/docs/0.3.1/nn.html#lstm 
nn.LSTM take your full sequence (rather than chunks), automatically initializes the hidden and cell states to zeros, runs the lstm over your full sequence …