Torchvision 0.2.2 Fix [ FULL ]

criterion = nn.CrossEntropyLoss() optimizer = optim.SGD(model.parameters(), lr=0.1, momentum=0.9, weight_decay=5e-4)

If you are maintaining a fork of any of these, updating to modern torchvision requires significant changes, especially around data augmentation and batching. torchvision 0.2.2

If you stray outside these ranges, you risk subtle breakages (e.g., torch.IntTensor vs torch.LongTensor mismatches). criterion = nn

from torchvision import transforms

On many Linux x86_64 systems, this will pull a wheel. On macOS ARM (M1/M2) or Windows with newer Python, it will fail. You will then need to build from source. you risk subtle breakages (e.g.