PyTorch DataLoader: Understand and implement custom collate function

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Understand DataLoader's inner workings and bring your data pipeline to the next level with this gentle introduction to the useful `collate_fn` in PyTorch DataLoader. We will work through a concrete example of dynamic collate to make dataloading more efficient.

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Great work! I appreciate the clear explanation.😇

ansonlau
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Thanks! This was the exact problem I wanted to solve.

aseefi
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can you advice on below error
RuntimeError: Batches of sparse tensors are not currently supported by the default collate_fn; please provide a custom collate_fn to handle them appropriately.

yashsrivastava
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wait, how does a network allow to train on different amount of shapes? Don't most networks require a static input_shape as parameter?

elementsofarah
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