Difference between `tf.nn.batch_normalization` and `tf.nn.fused_batch_norm`?

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Their documentation is short and they both refer to the same paper. Is there a difference in what those two functions implement? If no, is one of them soon-to-be obsolete by the other, which one of the two is recommended for use?

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