`tf.sparse_reduce_sum_sparse`: `reduction_axes` becomes `axis` *
`tf.sparse_split`: `split_dim` becomes `axis` * `tf.listdiff` has been renamed
to `tf.setdiff1d` to match NumPy naming. * `tf.inv` has been renamed to be
`tf.reciprocal` (component-wise reciprocal) to avoid confusion with `np.inv`
which is matrix inversion * tf.round now uses banker's rounding (round to even)
semantics to match NumPy. * `tf.split` now takes arguments in a reversed order

wildcard symbols (`*` and `?`) in the filename portion only, not in the
directory portion.

If a `file_pattern` matches several files, `preferred_shard` can be used to hint
in which file the requested tensor is likely to be found. This op will first
open the file at index `preferred_shard` in the list of matching files and try

		{"PSSSaltLengthEqualsHash", Const, 2},
		{"PrecomputedValues", Type, 0},
		{"PrecomputedValues.CRTValues", Field, 0},
		{"PrecomputedValues.Dp", Field, 0},
		{"PrecomputedValues.Dq", Field, 0},
		{"PrecomputedValues.Qinv", Field, 0},
		{"PrivateKey", Type, 0},
		{"PrivateKey.D", Field, 0},
		{"PrivateKey.Precomputed", Field, 0},
		{"PrivateKey.Primes", Field, 0},
		{"PrivateKey.PublicKey", Field, 0},
		{"PublicKey", Type, 0},