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Direct_Ad_7772 t1_ixldok1 wrote

I wonder if the usefulness of Lightning depends on your use case. Very standard tasks may benefit from Lighting, while a very exploratory PhD project may benefit from the more explicit control you have in plain pytorch. Could that be the case?

Basic pytorch has served me well in my PhD. I can quickly set up a multi-GPU project, e.g., for training GANs or semantic segmentation, and track metrics. The multi-GPU boilerplate is not that much, and learning how Lightning works on the inside (in the end you need to know this anyways) seems like more effort.

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