672b2668ce155a0f7c1a56f3e46a3fc7205f3cb3,models/segmentation/unet.py,,,#,108
Before Change
model.cuda()
images = torch.randn(4, 3, 256, 256)
if torch.cuda.is_available():
images = images.cuda()
out = model.forward(images)
print(out.size())
After Change
if __name__ == "__main__":
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model = UNet(num_classes=1).to(device)
images = torch.randn(4, 3, 256, 256).to(device)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 7
Instances
Project Name: Scitator/catalyst
Commit Name: 672b2668ce155a0f7c1a56f3e46a3fc7205f3cb3
Time: 2018-10-04
Author: scitator@gmail.com
File Name: models/segmentation/unet.py
Class Name:
Method Name:
Project Name: Scitator/catalyst
Commit Name: 672b2668ce155a0f7c1a56f3e46a3fc7205f3cb3
Time: 2018-10-04
Author: scitator@gmail.com
File Name: models/segmentation/linknet.py
Class Name:
Method Name:
Project Name: rusty1s/pytorch_geometric
Commit Name: b44364811b14bde01d84554624a9bffa0e4976e3
Time: 2018-03-07
Author: matthias.fey@tu-dortmund.de
File Name: examples/cora_gcn.py
Class Name:
Method Name: