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torch.cuda.amp > apex.amp #818

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@mcarilli

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@mcarilli

For a while now my main focus has been moving mixed precision functionality into Pytorch core. It was merged about a month ago:
https://pytorch.org/docs/master/amp.html
https://pytorch.org/docs/master/notes/amp_examples.html
and is now usable via master or nightly pip/conda packages. (Full features did not make the 1.5 release, unfortunately.)

torch.cuda.amp is more flexible and intuitive, and the native integration brings more future optimizations into scope. Also, torch.cuda.amp fixes many of apex.amp's known pain points. Some things native amp can handle that apex amp can't:

If all you want is to try mixed precision, and you're comfortable using a recent Pytorch, you don't need Apex.

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