*   `tf.data.Dataset.zip` now supports Python-style zipping, i.e. `Dataset.zip(a, b, c)`.
    * `tf.data.Dataset.shuffle` now supports `tf.data.UNKNOWN_CARDINALITY` When doing a "full shuffle" using  `dataset = dataset.shuffle(dataset.cardinality())`. But remember, a "full shuffle" will load the full dataset into memory so that it can be shuffled, so make sure to only use this with small datasets or datasets of small objects (like filenames).

*   `tf.math`

:= byteorder.BEUint32(src[0:4]) s1 := byteorder.BEUint32(src[4:8]) s2 := byteorder.BEUint32(src[8:12]) s3 := byteorder.BEUint32(src[12:16]) // First round just XORs input with key. s0 ^= xk[0] s1 ^= xk[1] s2 ^= xk[2] s3 ^= xk[3] // Middle rounds shuffle using tables. k := 4 var t0, t1, t2, t3 uint32 for r := 0; r < c.rounds-1; r++ { t0 = xk[k+0] ^ te0[uint8(s0>>24)] ^ te1[uint8(s1>>16)] ^ te2[uint8(s2>>8)] ^ te3[uint8(s3)] t1 = xk[k+1] ^ te0[uint8(s1>>24)] ^ te1[uint8(s2>>16)] ^ te2[uint8(s3>>8)]...