Updates Interpretation class to be memory efficient #3558
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kwsp
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* GatherPredsCallback optionlly return inp/pred * memory efficient Interpretation. 1st pass on docs * more docs
This was referenced Feb 10, 2022
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Interpretationis now memory efficient and should be able to process any size dataset, provided the hardware could train the same model.Interpretationnow callsget_predsfor each item to generate inps, targs, etc.GatherPredsCallbackhas two new arguments,with_predsandwith_targsto control whether it returns predictions or targets. These are used byInterpretationfor memory efficient creation.Also modifies
GatherPredsCallbackto usetorch.save, which handles both tensors and tuples of tensors.