I'm trying to run this without CUDA. I got this error:
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.
But when I try to use it with map_location=torch.device('cpu') then I get RuntimeError: Error(s) in loading state_dict for VGG16: size mismatch for conv6_1.weight: copying a param with shape torch.Size([512, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 3, 3]).
Hi,
I'm trying to run this without CUDA. I got this error:
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.But when I try to use it with
map_location=torch.device('cpu')then I getRuntimeError: Error(s) in loading state_dict for VGG16: size mismatch for conv6_1.weight: copying a param with shape torch.Size([512, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 3, 3]).Am I going about this wrong? Please help