Update model.py #1
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When using GPU acceleration, we need to modify SVIPerceptPipeline(batch_size=32) in the example.py to SVIPerceptPipeline(batch_size=32, device="cuda"). Also, in the model.py, change results[:, cat_i] = torch.sum(kscores * kweights, dim=1) to results[:, cat_i] = torch.sum(kscores * kweights, dim=1).cpu().