def METHOD_NAME(path):
    ckpt = torch.load(path)
    model = models.get_decoder(3, D, 3, 256, "fourier", "geom_lowf")
    model.load_state_dict(ckpt["model_state_dict"])
    model.eval()
    if use_cuda:
        model.cuda()
    return model