input = Tensor(input_batches[batch_i][t], autograd=True) rnn_input = embed.forward(input=input) output, hidden = model.forward(input=rnn_input, hidden=hidden) target = Tensor(target_batches[batch_i][t], autograd=True) batch_loss = criterion.forward(output, target) if(t == 0): losse...