CALL p256MulInternal<>(SB) // s2 = y2 * z1ˆ3 STy(s2) LDx(y1in) CALL p256SubInternal<>(SB) // r = s2 - s1 STx(r) CALL p256SqrInternal<>(SB) // rsqr = rˆ2 STy (rsqr) LDx(h) CALL p256SqrInternal<>(SB) // hsqr = hˆ2 STy(hsqr) CALL p256MulInternal<>(SB) // hcub = hˆ3 STy(hcub) LDx(y1in) CALL p256MulInternal<>(SB) // y1 * hˆ3 STy(s2) LDP hsqr(0*8), (x0, x1) LDP hsqr(2*8), (x2, x3) LDP 0*16(a_ptr), (y0, y1) LDP 1*16(a_ptr), (y2, y3) CALL p256MulInternal<>(SB) // u1 * hˆ2 STP (y0, y1), h(0*8) STP (y2, y3),...

	XVMODV		X3, X2, X1	// 418ce374
	XVMODBU		X3, X2, X1	// 410ce674
	XVMODHU		X3, X2, X1	// 418ce674
	XVMODWU		X3, X2, X1	// 410ce774
	XVMODVU		X3, X2, X1	// 418ce774

	// [X]VF{SQRT/RECIP/RSQRT}{F/D} instructions
	VFSQRTF		V1, V2		// 22e49c72
	VFSQRTD		V1, V2		// 22e89c72
	VFRECIPF	V1, V2		// 22f49c72
	VFRECIPD	V1, V2		// 22f89c72
	VFRSQRTF	V1, V2		// 22049d72
	VFRSQRTD	V1, V2		// 22089d72

r&f--nx?t--nx??ublk--nx???ppol?q&0-t&baol--nx?soum--nx?veib--nx??x-&ipphl--nx?r&embh--nx?imph--nx???y-tinks--nx??r&f-atsr--nx?g-&an&ms--nx?nd--nx??e&drf--nx?ngs--nx??murs--nx?netl--nx?olmb--nx?sorr--nx??h-&a&lms--nx?yrf--nx??emjt--nx??i&-&lboh--nx?rsir--nx?y&d&ar--nx?na--nx??ksa--nx?lem--nx?r&ul--nx?yd--nx????stu??j-&drav--nx?rolf--nx?sdav--nx??kua?l-&drojf--nx?lares--nx??m-tlohr--nx?n-esans--nx?olf?p-sdnil--nx?s-ladrl--nx?tih?v-rvsyt--nx??s&a&ns?ons??i&ar?er&dron?r&os?øs???ár??la&g?h??mor!t??si...

expression:
</p>

<pre>
var a, b, c = f() + v(), g(), sqr(u()) + v()

func f() int        { return c }
func g() int        { return a }
func sqr(x int) int { return x*x }

// functions u and v are independent of all other variables and functions
</pre>

<p>
The function calls happen in the order
<code>u()</code>, <code>sqr()</code>, <code>v()</code>,

       *    `TfLiteSignatureRunnerResizeInputTensor`

    * New C API function `TfLiteExtensionApisVersion` added to `tensorflow/lite/c/c_api.h`.

    * Add int8 and int16x8 support for RSQRT operator

* Android NDK r25 is supported.

### Bug Fixes and Other Changes

*   Add TensorFlow Quantizer to TensorFlow pip package.