`tf.divide()` is now the recommended division function. `tf.div()` will remain,
but its semantics do not respond to Python 3 or `from future` mechanisms. *
tf.reverse() now takes indices of axes to be reversed. E.g. `tf.reverse(a,
[True, False, True])` must now be written as `tf.reverse(a, [0, 2])`.
`tf.reverse_v2()` will remain until 1.0 final. * `tf.mul`, `tf.sub` and `tf.neg`

ghash(out, H *[gcmBlockSize]byte, inputs ...[]byte) { // productTable contains the first sixteen powers of the key, H. // However, they are in bit reversed order. var productTable [16]gcmFieldElement // We precompute 16 multiples of H. However, when we do lookups // into this table we'll be using bits from a field element and // therefore the bits will be in the reverse order. So normally one // would expect, say, 4*H to be in index 4 of the table but due to // this bit ordering it will actually be in index...

ghash(out, H *[gcmBlockSize]byte, inputs ...[]byte) { // productTable contains the first sixteen powers of the key, H. // However, they are in bit reversed order. var productTable [16]gcmFieldElement // We precompute 16 multiples of H. However, when we do lookups // into this table we'll be using bits from a field element and // therefore the bits will be in the reverse order. So normally one // would expect, say, 4*H to be in index 4 of the table but due to // this bit ordering it will actually be in index...