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Add support for Intel GPU to GAT example #1320

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Add support for Intel GPU to GAT example #1320

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1 change: 1 addition & 0 deletions gat/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -89,6 +89,7 @@ options:
epochs to wait for print training and validation evaluation (default: 20)
--no-cuda disables CUDA training
--no-mps disables macOS GPU training
--no-xpu disables XPU training
--dry-run quickly check a single pass
--seed S random seed (default: 13)
```
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13 changes: 9 additions & 4 deletions gat/main.py
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Expand Up @@ -303,15 +303,17 @@ def test(model, criterion, input, target, mask):
help='dimension of the hidden representation (default: 64)')
parser.add_argument('--num-heads', type=int, default=8,
help='number of the attention heads (default: 4)')
parser.add_argument('--concat-heads', action='store_true', default=False,
parser.add_argument('--concat-heads', action='store_true',
help='wether to concatinate attention heads, or average over them (default: False)')
parser.add_argument('--val-every', type=int, default=20,
help='epochs to wait for print training and validation evaluation (default: 20)')
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-xpu', action='store_true',
help='disables XPU training')
parser.add_argument('--no-mps', action='store_true',
help='disables macOS GPU training')
parser.add_argument('--dry-run', action='store_true', default=False,
parser.add_argument('--dry-run', action='store_true',
help='quickly check a single pass')
parser.add_argument('--seed', type=int, default=13, metavar='S',
help='random seed (default: 13)')
Expand All @@ -320,12 +322,15 @@ def test(model, criterion, input, target, mask):
torch.manual_seed(args.seed)
use_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()

# Set the device to run on
if use_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(f'Using {device} device')
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