PyTorch CUDA Patch#
BigDL-Nano also provides CUDA patch (
bigdl.nano.pytorch.patching.patch_cuda) to help you run CUDA code without GPU. This patch will replace CUDA operations with equivalent CPU operations, so after applying it, you can run CUDA code on your CPU without changing any code.
There is also
bigdl.nano.pytorch.patching.unpatch_cuda to unpatch it.
You can use it as following:
from bigdl.nano.pytorch.patching import patch_cuda, unpatch_cuda patch_cuda() # Then you can run CUDA code directly even without GPU model = torchvision.models.resnet50(pretrained=True).cuda() inputs = torch.rand((1, 3, 128, 128)).cuda() with torch.no_grad(): outputs = model(inputs) unpatch_cuda()
You should apply this patch at the beginning of your code, because it can only affect the code after calling it.
This CUDA patch is incompatible with JIT, applying it will disable JIT automatically.