opt.gpu_ids = [] opt.load_model = True opt.num_threads = 1 # test code only supports num_threads = 1 opt.batch_size = 1 # test code only supports batch_size = 1 opt.display_id = -1 # no visdom display opt.phase = 'val' opt.dataroot = './dataset/ilsvrc2012/%s/' % opt.phase opt.serial_batches = True opt.aspect_ratio = 1. # process opt.suffix if opt.suffix: suffix = ('_' + opt.suffix.format(**vars(opt))) if opt.suffix != '' else '' opt.name = opt.name + suffix opt.A = 2 * opt.ab_max / opt.ab_quant + 1 opt.B = opt.A class Colorization(torch.nn.Module): def __init__(self): super(Colorization, self).__init__() model = create_model(opt) model.setup(opt) model.eval() self.model = model def forward(self, image, hint): data = { "A": image[:, 0:1, :, :], "B": image[:, 1:3, :, :],