Change .cuda() to .to(devices.device)
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@ -58,7 +58,7 @@ class DeepDanbooru:
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a = np.expand_dims(np.array(pic, dtype=np.float32), 0) / 255
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with torch.no_grad(), devices.autocast():
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x = torch.from_numpy(a).cuda()
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x = torch.from_numpy(a).to(devices.device)
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y = self.model(x)[0].detach().cpu().numpy()
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probability_dict = {}
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