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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.

  • Updated dcgan/main.py with accelerator flag
  • Updated README to match dcgan/main.py
  • Updated requirements, removed pinned torchvision version
  • Updated run_python_examples.sh to match new accelerator flag

CC: @msaroufim, @malfet, @dvrogozh

@dggaytan dggaytan requested a review from msaroufim as a code owner May 12, 2025 17:59
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@dggaytan dggaytan force-pushed the dggaytan/dcgan_accel branch from 327e2ca to 2b37d44 Compare May 12, 2025 22:30
 Signed-off-by: dggaytan <diana.gaytan.munoz@intel.com>
@dggaytan dggaytan force-pushed the dggaytan/dcgan_accel branch from 2b37d44 to c4c6934 Compare May 12, 2025 22:33
@dggaytan dggaytan requested a review from dvrogozh May 12, 2025 22:34
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[--netD NETD] [--mps]
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?

@msaroufim msaroufim merged commit cc8e404 into pytorch:main May 13, 2025
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@dggaytan dggaytan deleted the dggaytan/dcgan_accel branch June 23, 2025 20:43
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4 participants