Torch func: Functional Transforms in PyTorch

Published: 31 October 2024
on channel: Toronto Machine Learning Series (TMLS)

Speaker:
Shagun Sodhani, Tech Lead, Meta

Abstract:
This talk will focus on using functional transforms in PyTorch using the torch.func module. We will walk through usecases where torch.func improves the use of PyTorch APIs. Common examples include computing per-sample-gradients, vectorizing functions and creating ensemble of models. We will also talk about gotchas to look out for when using torch.func.

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