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It seems pix2pixHD model didn't solve the condition with cpu. Maybe it can be solved by add `input_concat = input_concat.to(torch.device("cpu"))` in the code. ``` class Pix2PixHDModel(BaseModel): def name(self): return 'Pix2PixHDModel'...