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Add support for Intel GPU to MNIST examples
* Add support for Intel GPU to MNIST example * Add support for Intel GPU to MNIST Forward-Forward example * Add support for Intel GPU to MNIST using RNN example and update README with optional arguments * Refactor argument parsing in MNIST examples. There is no need to use `default=False` with `store_true` Signed-off-by: jafraustro <jaime.fraustro.valdez@intel.com>
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5 files changed

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‎mnist/main.py

+9-4
Original file line numberDiff line numberDiff line change
@@ -82,28 +82,33 @@ def main():
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help='learning rate (default: 1.0)')
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parser.add_argument('--gamma', type=float, default=0.7, metavar='M',
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help='Learning rate step gamma (default: 0.7)')
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parser.add_argument('--no-cuda', action='store_true', default=False,
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parser.add_argument('--no-cuda', action='store_true',
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help='disables CUDA training')
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parser.add_argument('--no-mps', action='store_true', default=False,
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parser.add_argument('--no-mps', action='store_true',
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help='disables macOS GPU training')
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parser.add_argument('--dry-run', action='store_true', default=False,
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parser.add_argument('--no-xpu', action='store_true',
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help='disables Intel GPU training')
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parser.add_argument('--dry-run', action='store_true',
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help='quickly check a single pass')
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parser.add_argument('--seed', type=int, default=1, metavar='S',
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help='random seed (default: 1)')
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parser.add_argument('--log-interval', type=int, default=10, metavar='N',
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help='how many batches to wait before logging training status')
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parser.add_argument('--save-model', action='store_true', default=False,
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parser.add_argument('--save-model', action='store_true',
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help='For Saving the current Model')
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args = parser.parse_args()
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use_cuda = not args.no_cuda and torch.cuda.is_available()
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use_mps = not args.no_mps and torch.backends.mps.is_available()
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use_xpu = not args.no_mps and torch.xpu.is_available()
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torch.manual_seed(args.seed)
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if use_cuda:
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device = torch.device("cuda")
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elif use_mps:
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device = torch.device("mps")
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elif use_xpu:
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device = torch.device("xpu")
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else:
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device = torch.device("cpu")
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‎mnist_forward_forward/README.md

+1
Original file line numberDiff line numberDiff line change
@@ -18,6 +18,7 @@ optional arguments:
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--lr LR learning rate (default: 0.03)
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--no_cuda disables CUDA training
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--no_mps disables MPS training
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--no_xpu disables XPU training
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--seed SEED random seed (default: 1)
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--save_model For saving the current Model
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--train_size TRAIN_SIZE

‎mnist_forward_forward/main.py

+8-4
Original file line numberDiff line numberDiff line change
@@ -102,18 +102,20 @@ def train(self, x_pos, x_neg):
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help="learning rate (default: 0.03)",
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)
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parser.add_argument(
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"--no_cuda", action="store_true", default=False, help="disables CUDA training"
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"--no_cuda", action="store_true", help="disables CUDA training"
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)
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parser.add_argument(
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"--no_mps", action="store_true", default=False, help="disables MPS training"
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"--no_mps", action="store_true", help="disables MPS training"
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)
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parser.add_argument(
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"--no_xpu", action="store_true", help="disables XPU training"
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)
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parser.add_argument(
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"--seed", type=int, default=1, metavar="S", help="random seed (default: 1)"
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)
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parser.add_argument(
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"--save_model",
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action="store_true",
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default=False,
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help="For saving the current Model",
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)
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parser.add_argument(
@@ -126,7 +128,6 @@ def train(self, x_pos, x_neg):
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parser.add_argument(
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"--save-model",
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action="store_true",
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default=False,
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help="For Saving the current Model",
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)
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parser.add_argument(
@@ -139,10 +140,13 @@ def train(self, x_pos, x_neg):
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args = parser.parse_args()
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use_cuda = not args.no_cuda and torch.cuda.is_available()
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use_mps = not args.no_mps and torch.backends.mps.is_available()
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use_xpu = not args.no_xpu and torch.xpu.is_available()
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if use_cuda:
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device = torch.device("cuda")
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elif use_mps:
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device = torch.device("mps")
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elif use_xpu:
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device = torch.device("xpu")
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else:
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device = torch.device("cpu")
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‎mnist_rnn/README.md

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Original file line numberDiff line numberDiff line change
@@ -8,3 +8,20 @@ pip install -r requirements.txt
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python main.py
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# CUDA_VISIBLE_DEVICES=2 python main.py # to specify GPU id to ex. 2
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```
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```bash
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optional arguments:
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-h, --help show this help message and exit
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--batch_size input batch_size for training (default:64)
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--testing_batch_size input batch size for testing (default: 1000)
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--epochs EPOCHS number of epochs to train (default: 14)
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--lr LR learning rate (default: 0.1)
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--gamma learning rate step gamma (default: 0.7)
20+
--cuda enables CUDA training
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--xpu enables XPU training
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--mps enables macos GPU training
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--seed SEED random seed (default: 1)
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--save_model For saving the current Model
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--log_interval how many batches to wait before logging training status
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--dry-run quickly check a single pass
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```

‎mnist_rnn/main.py

+7-3
Original file line numberDiff line numberDiff line change
@@ -93,22 +93,26 @@ def main():
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help='learning rate step gamma (default: 0.7)')
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parser.add_argument('--cuda', action='store_true', default=False,
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help='enables CUDA training')
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parser.add_argument('--mps', action="store_true", default=False,
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parser.add_argument('--mps', action="store_true",
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help="enables MPS training")
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parser.add_argument('--dry-run', action='store_true', default=False,
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parser.add_argument('--xpu', action='store_true',
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help='enables XPU training')
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parser.add_argument('--dry-run', action='store_true',
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help='quickly check a single pass')
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parser.add_argument('--seed', type=int, default=1, metavar='S',
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help='random seed (default: 1)')
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parser.add_argument('--log-interval', type=int, default=10, metavar='N',
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help='how many batches to wait before logging training status')
104-
parser.add_argument('--save-model', action='store_true', default=False,
106+
parser.add_argument('--save-model', action='store_true',
105107
help='for Saving the current Model')
106108
args = parser.parse_args()
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108110
if args.cuda and not args.mps:
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device = "cuda"
110112
elif args.mps and not args.cuda:
111113
device = "mps"
114+
elif args.xpu:
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device = "xpu"
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else:
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device = "cpu"
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