I have some hdf5 files which are splitted by X,Y and train/va/test (e.g. 1 file is train_X.h5, another file is train_y.h5, etc.)
I’m trying to load each of them into pytorch dataloader, but I feel that I need to somehow first unite the files (meaning - train should be 1 file) and then load them?
The problem is that I’m a bit newbiew and don’t have experience with working with hdf5, so I would love to have some help with that.
I don’t have control over the hdf5 files and these are static, so I have to load them as it is.
What should I create for that? Which classes?
Thanks in advance,