@ -58,7 +58,7 @@ class DeepDanbooru:
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 = {}