def METHOD_NAME():
    from parallel_wavegan.models import HiFiGANGenerator as PWGHiFiGANGenerator
    model_pwg = PWGHiFiGANGenerator(**make_hifigan_generator_args())
    model_espnet2 = HiFiGANGenerator(**make_hifigan_generator_args())
    model_espnet2.load_state_dict(model_pwg.state_dict())
    model_pwg.eval()
    model_espnet2.eval()
    with torch.no_grad():
        c = torch.randn(3, 5)
        out_pwg = model_pwg.inference(c)
        out_espnet2 = model_espnet2.inference(c)
        np.testing.assert_array_equal(
            out_pwg.cpu().numpy(),
            out_espnet2.cpu().numpy(),
        )