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linverlan t1_ixg4u3s wrote

This feels backwards. Best approach is to use the most off-the-shelf implementation you have available for a base model and implement specific features or refinements as needed for your use case.

This way you move quickly, get acceptable performance right away, and can make iterative improvements as long as time allows.

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alterframe t1_ixhmyr3 wrote

That's why it's so difficult to invest in something like Lightning. If you find a fine torch repository for your project you should go with it. You are not going to move everything to Lightning just because you are more comfortable with it.

On the other hand, Lightning is actually doing a decent job being modular, so it's mostly fine. TorchMetrics is a great example of how it should be done.

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