Change .cuda() to .to(devices.device)

        a = np.expand_dims(np.array(pic, dtype=np.float32), 0) / 255

        with torch.no_grad(), devices.autocast():

            x = torch.from_numpy(a).cuda()

            x = torch.from_numpy(a).to(devices.device)

            y = self.model(x)[0].detach().cpu().numpy()

        probability_dict = {}