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RELEASE.md
and with different keywords. In particular, we now match NumPy order as `tf.split(value, num_or_size_splits, axis)`. * `tf.sparse_split` now takes arguments in reversed order and with different keywords. In particular we now match NumPy order as `tf.sparse_split(sp_input, num_split, axis)`. NOTE: we have temporarily made `tf.sparse_split` require keyword arguments. * `tf.concat` now
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