could someone please clarify the purpose of the single_ds and fix_ds?
I’m not able to find explanations in the documentation.
From trying to read the code, I do the conclusion, that single_ds is used for reconstructing item from tensor back, and basically it is a validation dataset with batch_size equal to 1.
For fix_ds, it looks as well as a copy of validation dataset (or a validation ds), without the transformation being applied to it.
It my understanding correct?
Many thanks in advance for the clarification