MOVB	X5, tls(SB)				// b70f00009b8f0f00b38f4f0023805f00

	// NOT pseudo-instruction
	NOT	X5					// 93c2f2ff
	NOT	X5, X6					// 13c3f2ff

	// NEG/NEGW pseudo-instructions
	NEG	X5					// b3025040
	NEG	X5, X6					// 33035040
	NEGW	X5					// bb025040
	NEGW	X5, X6					// 3b035040

	// This jumps to the second instruction in the function (the

	CNTTZW R3,R4                    // 7c640434
	CNTTZWCC R3,R4                  // 7c640435
	CNTTZD R3,R4                    // 7c640474
	CNTTZDCC R3,R4                  // 7c640475
	NEG R3, R4                      // 7c8300d0
	NEGCC R3, R4                    // 7c8300d1
	NEGV R3, R4                     // 7c8304d0
	NEGVCC R3, R4                   // 7c8304d1

	BEQ 0(PC)                       // 41820000

			// prog.From is no address.
			prog.To = a[0]
		} else {
			prog.From = a[0]
			// prog.To is no address.
		}
		if p.arch.Family == sys.PPC64 && arch.IsPPC64NEG(op) {
			// NEG: From and To are both a[0].
			prog.To = a[0]
			prog.From = a[0]
			break
		}
	case 2:
		if p.arch.Family == sys.ARM {
			if arch.IsARMCMP(op) {
				prog.From = a[0]

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`
are deprecated in favor of `tf.multiply`, `tf.subtract` and `tf.negative`. *
`tf.pack` and `tf.unpack` are deprecated in favor of `tf.stack` and
`tf.unstack`. * `TensorArray.pack` and `TensorArray.unpack` are getting