import torch class TorchHijackForUnet: """ This is torch, but with cat that resizes tensors to appropriate dimensions if they do not match; this makes it possible to create pictures with dimensions that are muliples of 8 rather than 64 """ def __getattr__(self, item): if item == 'cat': return self.cat if hasattr(torch, item): return getattr(torch, item) raise AttributeError("'{}' object has no attribute '{}'".format(type(self).__name__, item)) def cat(self, tensors, *args, **kwargs): if len(tensors) == 2: a, b = tensors if a.shape[-2:] != b.shape[-2:]: a = torch.nn.functional.interpolate(a, b.shape[-2:], mode="nearest") tensors = (a, b) return torch.cat(tensors, *args, **kwargs) th = TorchHijackForUnet()