}
func rewriteValueARM_OpARMMVN(v *Value) bool {
	v_0 := v.Args[0]
	// match: (MVN (MOVWconst [c]))
	// result: (MOVWconst [^c])
	for {
		if v_0.Op != OpARMMOVWconst {
			break
		}
		c := auxIntToInt32(v_0.AuxInt)
		v.reset(OpARMMOVWconst)
		v.AuxInt = int32ToAuxInt(^c)
		return true
	}
	// match: (MVN (SLLconst [c] x))
	// result: (MVNshiftLL x [c])
	for {

	o1 := ((uint32(p.Scond) & C_SCOND) ^ C_SCOND_XOR) << 28
	o1 |= 0x30 << 20
	o1 |= (uint32(dr) & 15) << 12
	o1 |= uint32(a.Offset) & 0x0fff
	o1 |= (uint32(a.Offset) & 0xf000) << 4
	return o1
}

// MVN $C_NCON, Reg -> MOVW $C_RCON, Reg
func (c *ctxt5) omvr(p *obj.Prog, a *obj.Addr, dr int) uint32 {
	o1 := c.oprrr(p, AMOVW, int(p.Scond))
	o1 |= (uint32(dr) & 15) << 12
	v := immrot(^uint32(a.Offset))
	if v == 0 {

	{AMOVH, C_ZREG, C_NONE, C_NONE, C_ZREG, C_NONE, 45, 4, 0, 0, 0}, /* also MOVHU */
	{AMOVW, C_ZREG, C_NONE, C_NONE, C_ZREG, C_NONE, 45, 4, 0, 0, 0}, /* also MOVWU */
	/* TODO: MVN C_SHIFT */

	/* MOVs that become MOVK/MOVN/MOVZ/ADD/SUB/OR */
	{AMOVW, C_MBCON, C_NONE, C_NONE, C_ZREG, C_NONE, 32, 4, 0, 0, 0},
	{AMOVD, C_MBCON, C_NONE, C_NONE, C_ZREG, C_NONE, 32, 4, 0, 0, 0},

				{0, 22527}, // R0 R1 R2 R3 R4 R5 R6 R7 R8 R9 g R12 R14
			},
			outputs: []outputInfo{
				{0, 21503}, // R0 R1 R2 R3 R4 R5 R6 R7 R8 R9 R12 R14
			},
		},
	},
	{
		name:   "MVN",
		argLen: 1,
		asm:    arm.AMVN,
		reg: regInfo{
			inputs: []inputInfo{
				{0, 22527}, // R0 R1 R2 R3 R4 R5 R6 R7 R8 R9 g R12 R14
			},
			outputs: []outputInfo{

*   Moved `bayesflow.special_math` to distributions.
*   `tf.contrib.tensor_forest.python.tensor_forest.RandomForestDeviceAssigner`
    removed.
*   Changed some MVN classes and parameters:
    *   `tf.contrib.distributions.MultivariateNormalFull` replaced by
        `tf.contrib.distributions.MultivariateNormalTriL`.
    *   `tf.contrib.distributions.MultivariateNormalCholesky` replaced by