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prepare_training currently has a few complexities. Specifically, it does a lot. From setting up buffers, to initialising states of optimisers and instantiating the dataloaders. Some parts of this exercise can definitely be held generically, but as we move towards different datasets (#33 ) it might be the right time to refactor this function and define an API for hooking in additional datasets.
The text was updated successfully, but these errors were encountered:
prepare_training
currently has a few complexities. Specifically, it does a lot. From setting up buffers, to initialising states of optimisers and instantiating the dataloaders. Some parts of this exercise can definitely be held generically, but as we move towards different datasets (#33 ) it might be the right time to refactor this function and define an API for hooking in additional datasets.The text was updated successfully, but these errors were encountered: