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Add DataLoader class: a way to lazy-load iterable datasets. #47

guillaume-chevalier opened this issue Sep 6, 2019 · 0 comments


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commented Sep 6, 2019

Using generators lazily and for instance overloading the iter and len methods. To be used with Streaming Pipelines. DataLoaders should be able to be nested.

class DataLoader: 

    def __iter__(self): 
        # ...

    def __len__(self): # Len must be defined not to empty/iterate the loader completely upon just checking the length. 
        # ...

Question: could they be without length / infinite?

I'd also like to think about how we could have things that enable to duplicate the data (e.g.: introduce local shuffle (with window size) or the concept of epoch loops to train NNs.

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