Question concerning fix and single dataset types

#1

Hi,

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

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#2

Those are just internals. single_ds is where we put single items when doing predictions on an element and fix_ds is the training set with validation transforms.

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#3

Thank you for the clarification. Are there any plans to update this in the documentation?

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#4

Any PR is accepted. Like I said, those are internals, which is why they aren’t documented currently.

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