[Python] Order of batch, prefetch, shuffle and cache in a Tensorflow dataset

When creating a dataset from a generator, what would be the correct order of the following dataset methods? Or does the order not matter here?

ds = tf.data.Dataset.from_generator(my_generator)
ds = ds.prefetch(tf.data.AUTOTUNE).shuffle(1000).batch(128).cache()


Here I use prefetch to speed up data generation and cache to avoid calculating after every epoch.

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