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Add support for Intel GPU to Basic VAE example #1316

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7 changes: 4 additions & 3 deletions vae/README.md
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Expand Up @@ -14,8 +14,9 @@ The main.py script accepts the following arguments:
optional arguments:
--batch-size input batch size for training (default: 128)
--epochs number of epochs to train (default: 10)
--no-cuda enables CUDA training
--mps enables GPU on macOS
--no-cuda disables CUDA training
--no-mps disables GPU on macOS
--no-xpu disables XPU training in Intel GPUs
--seed random seed (default: 1)
--log-interval how many batches to wait before logging training status
```
```
11 changes: 9 additions & 2 deletions vae/main.py
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Expand Up @@ -13,27 +13,34 @@
help='input batch size for training (default: 128)')
parser.add_argument('--epochs', type=int, default=10, metavar='N',
help='number of epochs to train (default: 10)')
parser.add_argument('--no-cuda', action='store_true', default=False,
parser.add_argument('--no-cuda', action='store_true',
help='disables CUDA training')
parser.add_argument('--no-mps', action='store_true', default=False,
parser.add_argument('--no-mps', action='store_true',
help='disables macOS GPU training')
parser.add_argument('--no-xpu', action='store_true',
help='disables Intel XPU training')
parser.add_argument('--seed', type=int, default=1, metavar='S',
help='random seed (default: 1)')
parser.add_argument('--log-interval', type=int, default=10, metavar='N',
help='how many batches to wait before logging training status')
args = parser.parse_args()
args.cuda = not args.no_cuda and torch.cuda.is_available()
use_mps = not args.no_mps and torch.backends.mps.is_available()
use_xpu = not args.no_xpu and torch.xpu.is_available()

torch.manual_seed(args.seed)

if args.cuda:
device = torch.device("cuda")
elif use_mps:
device = torch.device("mps")
elif use_xpu:
device = torch.device("xpu")
else:
device = torch.device("cpu")

print('Device to use: ', device)

kwargs = {'num_workers': 1, 'pin_memory': True} if args.cuda else {}
train_loader = torch.utils.data.DataLoader(
datasets.MNIST('../data', train=True, download=True,
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