Hi,
I am a pretty beginner of DL and Pytorch, and now working on constructing LSTM for training some sequence data.
I am wondering that for example if we have 500 sequence length of data with 20 features. And I want to split them into a batch size of 10. Then when we input the data should we have data with a shape of (500, 10, 20), which has the same 500 sequence and 20 features in each of the batches? Or we should have data with a shape of (50, 10, 20) which 500 sequence data is divided by 10 and they have different data in each batch?
Thank you very much.