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Use torch.accelerator in DCGAN example #1344
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[--netD NETD] [--mps] | ||
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optional arguments: | ||
usage: main.py [-h] --dataset DATASET [--dataroot DATAROOT] |
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To clarify some of the changes: you updated the readme with the actual output from main,py --help
, right?
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yes
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Looks good to me. @msaroufim, can you, please, help to take a look and merge if all is ok?
Refactor DCGAN examples to utilize torch.accelerator API torch.accelerator API allows to abstract some of the accelerator specifics in the user scripts. By leveraging this API, the code becomes more adaptable to various hardware accelerators.
CC: @msaroufim, @malfet, @dvrogozh