def METHOD_NAME(self):
    ts_time_index = tg.sine_timeseries(length=2, freq="h")
    model = TiDEModel(
        input_chunk_length=1,
        output_chunk_length=1,
        add_encoders={"cyclic": {"future": "hour"}},
        use_reversible_instance_norm=False,
        **tfm_kwargs
    )
    model.fit(ts_time_index, verbose=False, epochs=1)
    model = TiDEModel(
        input_chunk_length=1,
        output_chunk_length=1,
        add_encoders={"cyclic": {"future": "hour"}},
        use_reversible_instance_norm=True,
        **tfm_kwargs
    )
    model.fit(ts_time_index, verbose=False, epochs=1)