Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
20 changes: 14 additions & 6 deletions mnist_rnn/main.py
Original file line number Diff line number Diff line change
Expand Up @@ -91,8 +91,10 @@ def main():
help='learning rate (default: 0.1)')
parser.add_argument('--gamma', type=float, default=0.7, metavar='M',
help='learning rate step gamma (default: 0.7)')
parser.add_argument('--no-cuda', action='store_true', default=False,
help='disables CUDA training')
parser.add_argument('--cuda', action='store_true', default=False,
help='enables CUDA training')
parser.add_argument('--mps', action="store_true", default=False,
help="enables MPS training")
parser.add_argument('--dry-run', action='store_true', default=False,
help='quickly check a single pass')
parser.add_argument('--seed', type=int, default=1, metavar='S',
Expand All @@ -102,13 +104,19 @@ def main():
parser.add_argument('--save-model', action='store_true', default=False,
help='for Saving the current Model')
args = parser.parse_args()
use_cuda = not args.no_cuda and torch.cuda.is_available()

torch.manual_seed(args.seed)
if args.cuda and not args.mps:
device = "cuda"
elif args.mps and not args.cuda:
device = "mps"
else:
device = "cpu"

device = torch.device(device)

device = torch.device("cuda" if use_cuda else "cpu")
torch.manual_seed(args.seed)

kwargs = {'num_workers': 1, 'pin_memory': True} if use_cuda else {}
kwargs = {'num_workers': 1, 'pin_memory': True} if args.cuda else {}
train_loader = torch.utils.data.DataLoader(
datasets.MNIST('../data', train=True, download=True,
transform=transforms.Compose([
Expand Down