How does PyTorch handle mixed device computation errors?

PyTorch enforces device consistency and raises runtime errors when tensors are on different devices.

Operations between tensors require them to be on the same device (CPU/GPU). If mismatched, PyTorch throws errors to prevent undefined behavior. Explicit .to(device) calls are required.