Nope:)
I would like to train it in one line:
I want the input to be of shape (60, 2, 20), which is a tensor of the connected x1 and x2 each being a batch.
And I want the run to be
out = model(x)

This will not produce an error, but I need to give an initial (h, c) for every one of the 2 batches. I want to give it only one (h,c) for the first batch, and have it use the output of the first batch as the initial hidden for the second batch. I think it will save computation time.
Am I clearer this time?
Thanks!