@Diego Thank u very much for the timely response.
When I make the change as u suggested,
generatorX.load_state_dict( checkpoint,strict=False)
I get this error . Although I used the images with same dimensions as used by authors.
RuntimeError: Error(s) in loading state_dict for Generator:
size mismatch for conv8.2.weight: copying a param with shape torch.Size([16, 48, 5, 5]) from checkpoint, the shape in current model is torch.Size([16, 48, 1, 1]).
size mismatch for conv9.2.weight: copying a param with shape torch.Size([3, 16, 5, 5]) from checkpoint, the shape in current model is torch.Size([3, 16, 1, 1]).
So I need to train from scratch . can i use this pretrained model ?