Hello, switched to Pytorch recently because writing everything from scratch is quite painful.
I’m mainly using the library for the autograd feature since its saving a lot of time and efforts.
I implemented different MLP without problem so far so I decided to give a try to RNN.
I didn’t find in the documentation how the autograd feature is used for backpropagation through time. Is there a similar feature for this task ?
I’m working on a stacked GRU but I’m not using the inbuilt GRU cell  since I like having more control over my network.
How do you actually perform BPTT for stacked GRU/LSTM using the autograd feature ?
Thank you.