LSTM - multivariate prediction to predict single target


Does a sequence length of 1 make any sense on time series data, taking in multiple features to predict the output? Or should it be a sequence length of say a week followed by a day of prediction for one output?

If it is the latter, how does one go about implementing it in PyTorch? Any links would be nice to have - I have already gone through the docs for LSTM so please dont repost that.