src/f32-raddextexp/gen/avx512f-p5-scalef-x192-acc2.c - platform/external/XNNPACK - Git at Google

 // Auto-generated file. Do not edit!
 //   Template: src/f32-raddextexp/avx512f-p5-scalef.c.in
 //   Generator: tools/xngen
 //
 // Copyright 2019 Google LLC
 //
 // This source code is licensed under the BSD-style license found in the
 // LICENSE file in the root directory of this source tree.

 #include <assert.h>
 #include <math.h>

 #include <immintrin.h>

 #include <xnnpack/common.h>
 #include <xnnpack/intrinsics-polyfill.h>
 #include <xnnpack/raddextexp.h>


 void xnn_f32_raddextexp_ukernel__avx512f_p5_scalef_x192_acc2(
     size_t elements,
     const float* x,
     float* sum)
 {
   assert(elements % sizeof(float) == 0);

   const __m512 vlog2e = _mm512_set1_ps(0x1.715476p+0f);
   const __m512 vminus_ln2_hi = _mm512_set1_ps(-0x1.62E43p-1f);
   const __m512 vminus_ln2_lo = _mm512_set1_ps(0x1.05C61p-29f);

   const __m512 vc0 = _mm512_set1_ps(1.0f);
   const __m512 vc1 = _mm512_set1_ps(0x1.FFFFF6p-1f);
   const __m512 vc2 = _mm512_set1_ps(0x1.FFFDC6p-2f);
   const __m512 vc3 = _mm512_set1_ps(0x1.555A80p-3f);
   const __m512 vc4 = _mm512_set1_ps(0x1.573A1Ap-5f);
   const __m512 vc5 = _mm512_set1_ps(0x1.0F9F9Cp-7f);

   const __m512 vminus_inf = _mm512_set1_ps(-INFINITY);

   __m512 vaccv0 = _mm512_setzero_ps();
   __m512 vaccv1 = _mm512_setzero_ps();
   __m512 vacce0 = vminus_inf;
   __m512 vacce1 = vminus_inf;
   for (; elements >= 192 * sizeof(float); elements -= 192 * sizeof(float)) {
     // Load 192 (12x16) inputs at a time.
     const __m512 vx0 = _mm512_loadu_ps(x);
     const __m512 vx1 = _mm512_loadu_ps(x + 16);
     const __m512 vx2 = _mm512_loadu_ps(x + 32);
     const __m512 vx3 = _mm512_loadu_ps(x + 48);
     const __m512 vx4 = _mm512_loadu_ps(x + 64);
     const __m512 vx5 = _mm512_loadu_ps(x + 80);
     const __m512 vx6 = _mm512_loadu_ps(x + 96);
     const __m512 vx7 = _mm512_loadu_ps(x + 112);
     const __m512 vx8 = _mm512_loadu_ps(x + 128);
     const __m512 vx9 = _mm512_loadu_ps(x + 144);
     const __m512 vx10 = _mm512_loadu_ps(x + 160);
     const __m512 vx11 = _mm512_loadu_ps(x + 176);
     x += 192;

     // Compute reduced argument elements := round(x / log(2)).
     const __m512 vn0 = _mm512_roundscale_ps(_mm512_mul_ps(vx0, vlog2e), 0);
     const __m512 vn1 = _mm512_roundscale_ps(_mm512_mul_ps(vx1, vlog2e), 0);
     const __m512 vn2 = _mm512_roundscale_ps(_mm512_mul_ps(vx2, vlog2e), 0);
     const __m512 vn3 = _mm512_roundscale_ps(_mm512_mul_ps(vx3, vlog2e), 0);
     const __m512 vn4 = _mm512_roundscale_ps(_mm512_mul_ps(vx4, vlog2e), 0);
     const __m512 vn5 = _mm512_roundscale_ps(_mm512_mul_ps(vx5, vlog2e), 0);
     const __m512 vn6 = _mm512_roundscale_ps(_mm512_mul_ps(vx6, vlog2e), 0);
     const __m512 vn7 = _mm512_roundscale_ps(_mm512_mul_ps(vx7, vlog2e), 0);
     const __m512 vn8 = _mm512_roundscale_ps(_mm512_mul_ps(vx8, vlog2e), 0);
     const __m512 vn9 = _mm512_roundscale_ps(_mm512_mul_ps(vx9, vlog2e), 0);
     const __m512 vn10 = _mm512_roundscale_ps(_mm512_mul_ps(vx10, vlog2e), 0);
     const __m512 vn11 = _mm512_roundscale_ps(_mm512_mul_ps(vx11, vlog2e), 0);

     // Compute reduced argument t := x - elements * log(2).
     // Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
     __m512 vt0 = _mm512_fmadd_ps(vn0, vminus_ln2_hi, vx0);
     __m512 vt1 = _mm512_fmadd_ps(vn1, vminus_ln2_hi, vx1);
     __m512 vt2 = _mm512_fmadd_ps(vn2, vminus_ln2_hi, vx2);
     __m512 vt3 = _mm512_fmadd_ps(vn3, vminus_ln2_hi, vx3);
     __m512 vt4 = _mm512_fmadd_ps(vn4, vminus_ln2_hi, vx4);
     __m512 vt5 = _mm512_fmadd_ps(vn5, vminus_ln2_hi, vx5);
     __m512 vt6 = _mm512_fmadd_ps(vn6, vminus_ln2_hi, vx6);
     __m512 vt7 = _mm512_fmadd_ps(vn7, vminus_ln2_hi, vx7);
     __m512 vt8 = _mm512_fmadd_ps(vn8, vminus_ln2_hi, vx8);
     __m512 vt9 = _mm512_fmadd_ps(vn9, vminus_ln2_hi, vx9);
     __m512 vt10 = _mm512_fmadd_ps(vn10, vminus_ln2_hi, vx10);
     __m512 vt11 = _mm512_fmadd_ps(vn11, vminus_ln2_hi, vx11);

     vt0 = _mm512_fmadd_ps(vn0, vminus_ln2_lo, vt0);
     vt1 = _mm512_fmadd_ps(vn1, vminus_ln2_lo, vt1);
     vt2 = _mm512_fmadd_ps(vn2, vminus_ln2_lo, vt2);
     vt3 = _mm512_fmadd_ps(vn3, vminus_ln2_lo, vt3);
     vt4 = _mm512_fmadd_ps(vn4, vminus_ln2_lo, vt4);
     vt5 = _mm512_fmadd_ps(vn5, vminus_ln2_lo, vt5);
     vt6 = _mm512_fmadd_ps(vn6, vminus_ln2_lo, vt6);
     vt7 = _mm512_fmadd_ps(vn7, vminus_ln2_lo, vt7);
     vt8 = _mm512_fmadd_ps(vn8, vminus_ln2_lo, vt8);
     vt9 = _mm512_fmadd_ps(vn9, vminus_ln2_lo, vt9);
     vt10 = _mm512_fmadd_ps(vn10, vminus_ln2_lo, vt10);
     vt11 = _mm512_fmadd_ps(vn11, vminus_ln2_lo, vt11);

     // Compute degree-5 polynomial approxiatmion for exp(t) on [-log(2)/2, log(2)/2].
     __m512 vp0 = _mm512_fmadd_ps(vc5, vt0, vc4);
     __m512 vp1 = _mm512_fmadd_ps(vc5, vt1, vc4);
     __m512 vp2 = _mm512_fmadd_ps(vc5, vt2, vc4);
     __m512 vp3 = _mm512_fmadd_ps(vc5, vt3, vc4);
     __m512 vp4 = _mm512_fmadd_ps(vc5, vt4, vc4);
     __m512 vp5 = _mm512_fmadd_ps(vc5, vt5, vc4);
     __m512 vp6 = _mm512_fmadd_ps(vc5, vt6, vc4);
     __m512 vp7 = _mm512_fmadd_ps(vc5, vt7, vc4);
     __m512 vp8 = _mm512_fmadd_ps(vc5, vt8, vc4);
     __m512 vp9 = _mm512_fmadd_ps(vc5, vt9, vc4);
     __m512 vp10 = _mm512_fmadd_ps(vc5, vt10, vc4);
     __m512 vp11 = _mm512_fmadd_ps(vc5, vt11, vc4);

     vp0 = _mm512_fmadd_ps(vp0, vt0, vc3);
     vp1 = _mm512_fmadd_ps(vp1, vt1, vc3);
     vp2 = _mm512_fmadd_ps(vp2, vt2, vc3);
     vp3 = _mm512_fmadd_ps(vp3, vt3, vc3);
     vp4 = _mm512_fmadd_ps(vp4, vt4, vc3);
     vp5 = _mm512_fmadd_ps(vp5, vt5, vc3);
     vp6 = _mm512_fmadd_ps(vp6, vt6, vc3);
     vp7 = _mm512_fmadd_ps(vp7, vt7, vc3);
     vp8 = _mm512_fmadd_ps(vp8, vt8, vc3);
     vp9 = _mm512_fmadd_ps(vp9, vt9, vc3);
     vp10 = _mm512_fmadd_ps(vp10, vt10, vc3);
     vp11 = _mm512_fmadd_ps(vp11, vt11, vc3);

     vp0 = _mm512_fmadd_ps(vp0, vt0, vc2);
     vp1 = _mm512_fmadd_ps(vp1, vt1, vc2);
     vp2 = _mm512_fmadd_ps(vp2, vt2, vc2);
     vp3 = _mm512_fmadd_ps(vp3, vt3, vc2);
     vp4 = _mm512_fmadd_ps(vp4, vt4, vc2);
     vp5 = _mm512_fmadd_ps(vp5, vt5, vc2);
     vp6 = _mm512_fmadd_ps(vp6, vt6, vc2);
     vp7 = _mm512_fmadd_ps(vp7, vt7, vc2);
     vp8 = _mm512_fmadd_ps(vp8, vt8, vc2);
     vp9 = _mm512_fmadd_ps(vp9, vt9, vc2);
     vp10 = _mm512_fmadd_ps(vp10, vt10, vc2);
     vp11 = _mm512_fmadd_ps(vp11, vt11, vc2);

     vp0 = _mm512_fmadd_ps(vp0, vt0, vc1);
     vp1 = _mm512_fmadd_ps(vp1, vt1, vc1);
     vp2 = _mm512_fmadd_ps(vp2, vt2, vc1);
     vp3 = _mm512_fmadd_ps(vp3, vt3, vc1);
     vp4 = _mm512_fmadd_ps(vp4, vt4, vc1);
     vp5 = _mm512_fmadd_ps(vp5, vt5, vc1);
     vp6 = _mm512_fmadd_ps(vp6, vt6, vc1);
     vp7 = _mm512_fmadd_ps(vp7, vt7, vc1);
     vp8 = _mm512_fmadd_ps(vp8, vt8, vc1);
     vp9 = _mm512_fmadd_ps(vp9, vt9, vc1);
     vp10 = _mm512_fmadd_ps(vp10, vt10, vc1);
     vp11 = _mm512_fmadd_ps(vp11, vt11, vc1);

     vp0 = _mm512_fmadd_ps(vp0, vt0, vc0);
     vp1 = _mm512_fmadd_ps(vp1, vt1, vc0);
     vp2 = _mm512_fmadd_ps(vp2, vt2, vc0);
     vp3 = _mm512_fmadd_ps(vp3, vt3, vc0);
     vp4 = _mm512_fmadd_ps(vp4, vt4, vc0);
     vp5 = _mm512_fmadd_ps(vp5, vt5, vc0);
     vp6 = _mm512_fmadd_ps(vp6, vt6, vc0);
     vp7 = _mm512_fmadd_ps(vp7, vt7, vc0);
     vp8 = _mm512_fmadd_ps(vp8, vt8, vc0);
     vp9 = _mm512_fmadd_ps(vp9, vt9, vc0);
     vp10 = _mm512_fmadd_ps(vp10, vt10, vc0);
     vp11 = _mm512_fmadd_ps(vp11, vt11, vc0);

     // Accumulate "extended" floating-point numbers in ("mantissa", "exponent") representation where
     //  - vnX is "exponent"
     //  - vpX is "mantissa"
     //
     // exp2(ae) * av + exp2(be) * bv =
     //   = exp2(max(ae, be)) * exp2(ae - max(ae, be)) * av + exp2(max(ae, be)) * exp2(be - max(ae, be)) * bv
     //   = exp2(max_e) * (exp2(ae - max_e) * av + exp2(be - max_e) * bv)
     //   = exp2(max_e) * (exp2(delta_ae) * av + exp2(delta_be) * bv)
     //
     // For computational efficiency we add three "extended" floating-point numbers at a time.
     __m512 vmax_e0 = _mm512_max_ps(vacce0, vn0);
     __m512 vmax_e1 = _mm512_max_ps(vacce1, vn1);
     vmax_e0 = _mm512_max_ps(vmax_e0, vn2);
     vmax_e1 = _mm512_max_ps(vmax_e1, vn3);
     vmax_e0 = _mm512_max_ps(vmax_e0, vn4);
     vmax_e1 = _mm512_max_ps(vmax_e1, vn5);
     vmax_e0 = _mm512_max_ps(vmax_e0, vn6);
     vmax_e1 = _mm512_max_ps(vmax_e1, vn7);
     vmax_e0 = _mm512_max_ps(vmax_e0, vn8);
     vmax_e1 = _mm512_max_ps(vmax_e1, vn9);
     vmax_e0 = _mm512_max_ps(vmax_e0, vn10);
     vmax_e1 = _mm512_max_ps(vmax_e1, vn11);

     const __m512 vdelta_acce0 = _mm512_sub_ps(vacce0, vmax_e0);
     const __m512 vdelta_acce1 = _mm512_sub_ps(vacce1, vmax_e1);
     const __m512 vdelta_e0 = _mm512_sub_ps(vn0, vmax_e0);
     const __m512 vdelta_e1 = _mm512_sub_ps(vn1, vmax_e1);
     const __m512 vdelta_e2 = _mm512_sub_ps(vn2, vmax_e0);
     const __m512 vdelta_e3 = _mm512_sub_ps(vn3, vmax_e1);
     const __m512 vdelta_e4 = _mm512_sub_ps(vn4, vmax_e0);
     const __m512 vdelta_e5 = _mm512_sub_ps(vn5, vmax_e1);
     const __m512 vdelta_e6 = _mm512_sub_ps(vn6, vmax_e0);
     const __m512 vdelta_e7 = _mm512_sub_ps(vn7, vmax_e1);
     const __m512 vdelta_e8 = _mm512_sub_ps(vn8, vmax_e0);
     const __m512 vdelta_e9 = _mm512_sub_ps(vn9, vmax_e1);
     const __m512 vdelta_e10 = _mm512_sub_ps(vn10, vmax_e0);
     const __m512 vdelta_e11 = _mm512_sub_ps(vn11, vmax_e1);

     // Update accumulated "mantissa" and "exponent" values
     vaccv0 = _mm512_scalef_ps(vaccv0, vdelta_acce0);
     vaccv1 = _mm512_scalef_ps(vaccv1, vdelta_acce1);
     vaccv0 = _mm512_add_ps(vaccv0, _mm512_scalef_ps(vp0, vdelta_e0));
     vaccv1 = _mm512_add_ps(vaccv1, _mm512_scalef_ps(vp1, vdelta_e1));
     vaccv0 = _mm512_add_ps(vaccv0, _mm512_scalef_ps(vp2, vdelta_e2));
     vaccv1 = _mm512_add_ps(vaccv1, _mm512_scalef_ps(vp3, vdelta_e3));
     vaccv0 = _mm512_add_ps(vaccv0, _mm512_scalef_ps(vp4, vdelta_e4));
     vaccv1 = _mm512_add_ps(vaccv1, _mm512_scalef_ps(vp5, vdelta_e5));
     vaccv0 = _mm512_add_ps(vaccv0, _mm512_scalef_ps(vp6, vdelta_e6));
     vaccv1 = _mm512_add_ps(vaccv1, _mm512_scalef_ps(vp7, vdelta_e7));
     vaccv0 = _mm512_add_ps(vaccv0, _mm512_scalef_ps(vp8, vdelta_e8));
     vaccv1 = _mm512_add_ps(vaccv1, _mm512_scalef_ps(vp9, vdelta_e9));
     vaccv0 = _mm512_add_ps(vaccv0, _mm512_scalef_ps(vp10, vdelta_e10));
     vaccv1 = _mm512_add_ps(vaccv1, _mm512_scalef_ps(vp11, vdelta_e11));

     vacce0 = vmax_e0;
     vacce1 = vmax_e1;
   }

   // Reduce partial sums of "extended" floating-point numbers into a single "extended" SIMD vector of sums.
   const __m512 vmax_acce01 = _mm512_max_ps(vacce0, vacce1);

   const __m512 vdelta_acce0 = _mm512_sub_ps(vacce0, vmax_acce01);
   const __m512 vdelta_acce1 = _mm512_sub_ps(vacce1, vmax_acce01);

   __m512 vaccv = _mm512_scalef_ps(vaccv0, vdelta_acce0);
   vaccv = _mm512_add_ps(vaccv, _mm512_scalef_ps(vaccv1, vdelta_acce1));
   __m512 vacce = vmax_acce01;

   for (; elements >= 16 * sizeof(float); elements -= 16 * sizeof(float)) {
     // Load 16 inputs at a time.
     const __m512 vx = _mm512_loadu_ps(x);
     x += 16;

     // Compute reduced argument elements := round(x / log(2)).
     const __m512 vn = _mm512_roundscale_ps(_mm512_mul_ps(vx, vlog2e), 0);

     // Compute reduced argument t := x - elements * log(2).
     // Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
     __m512 vt = _mm512_fmadd_ps(vn, vminus_ln2_hi, vx);
     vt = _mm512_fmadd_ps(vn, vminus_ln2_lo, vt);

     // Compute degree-5 polynomial approxiatmion for exp(t) on [-log(2)/2, log(2)/2].
     __m512 vp = _mm512_fmadd_ps(vc5, vt, vc4);
     vp = _mm512_fmadd_ps(vp, vt, vc3);
     vp = _mm512_fmadd_ps(vp, vt, vc2);
     vp = _mm512_fmadd_ps(vp, vt, vc1);
     vp = _mm512_fmadd_ps(vp, vt, vc0);

     // Accumulate "extended" floating-point numbers in ("mantissa", "exponent") representation.
     const __m512 vmax_e = _mm512_max_ps(vacce, vn);
     const __m512 vdelta_acce = _mm512_sub_ps(vacce, vmax_e);
     const __m512 vdelta_e = _mm512_sub_ps(vn, vmax_e);
     vaccv = _mm512_scalef_ps(vaccv, vdelta_acce);
     vaccv = _mm512_add_ps(vaccv, _mm512_scalef_ps(vp, vdelta_e));

     vacce = vmax_e;
   }
   if XNN_UNLIKELY(elements != 0) {
     // Prepare mask for valid 32-bit elements (depends on elements).
     elements >>= 2 /* log2(sizeof(float)) */;
     const __mmask16 vmask = _cvtu32_mask16((uint16_t) ((uint32_t) (UINT32_C(1) << elements) - UINT32_C(1)));

     // Load up to 15 inputs at a time.
     const __m512 vx = _mm512_maskz_loadu_ps(vmask, x);

     // Compute reduced argument elements := round(x / log(2)).
     const __m512 vn = _mm512_roundscale_ps(_mm512_mul_ps(vx, vlog2e), 0);

     // Compute reduced argument t := x - elements * log(2).
     // Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
     __m512 vt = _mm512_fmadd_ps(vn, vminus_ln2_hi, vx);
     vt = _mm512_fmadd_ps(vn, vminus_ln2_lo, vt);

     // Compute degree-5 polynomial approxiatmion for exp(t) on [-log(2)/2, log(2)/2].
     __m512 vp = _mm512_fmadd_ps(vc5, vt, vc4);
     vp = _mm512_fmadd_ps(vp, vt, vc3);
     vp = _mm512_fmadd_ps(vp, vt, vc2);
     vp = _mm512_fmadd_ps(vp, vt, vc1);
     vp = _mm512_fmadd_ps(vp, vt, vc0);

     // Accumulate "extended" floating-point numbers in ("mantissa", "exponent") representation.
     const __m512 vmax_e = _mm512_mask_max_ps(vacce, vmask, vacce, vn);
     const __m512 vdelta_acce = _mm512_sub_ps(vacce, vmax_e);
     const __m512 vdelta_e = _mm512_sub_ps(vn, vmax_e);
     vaccv = _mm512_mask_scalef_ps(vaccv, vmask, vaccv, vdelta_acce);
     vaccv = _mm512_mask_add_ps(vaccv, vmask, vaccv, _mm512_maskz_scalef_ps(vmask, vp, vdelta_e));
     vacce = vmax_e;
   }

   // Reduce partial sums of "extended" floating-point numbers into a single "extended" floating-point sum.
   const float vmax_acce = _mm512_reduce_max_ps(vacce);
   const __m512 vdelta_acce = _mm512_sub_ps(vacce, _mm512_set1_ps(vmax_acce));

   sum[0] = _mm512_reduce_add_ps(_mm512_scalef_ps(vaccv, vdelta_acce));
   sum[1] = vmax_acce;

   _mm256_zeroupper();
 }
	// Auto-generated file. Do not edit!
	// Template: src/f32-raddextexp/avx512f-p5-scalef.c.in
	// Generator: tools/xngen
	//
	// Copyright 2019 Google LLC
	//
	// This source code is licensed under the BSD-style license found in the
	// LICENSE file in the root directory of this source tree.

	#include <assert.h>
	#include <math.h>

	#include <immintrin.h>

	#include <xnnpack/common.h>
	#include <xnnpack/intrinsics-polyfill.h>
	#include <xnnpack/raddextexp.h>


	void xnn_f32_raddextexp_ukernel__avx512f_p5_scalef_x192_acc2(
	size_t elements,
	const float* x,
	float* sum)
	{
	assert(elements % sizeof(float) == 0);

	const __m512 vlog2e = _mm512_set1_ps(0x1.715476p+0f);
	const __m512 vminus_ln2_hi = _mm512_set1_ps(-0x1.62E43p-1f);
	const __m512 vminus_ln2_lo = _mm512_set1_ps(0x1.05C61p-29f);

	const __m512 vc0 = _mm512_set1_ps(1.0f);
	const __m512 vc1 = _mm512_set1_ps(0x1.FFFFF6p-1f);
	const __m512 vc2 = _mm512_set1_ps(0x1.FFFDC6p-2f);
	const __m512 vc3 = _mm512_set1_ps(0x1.555A80p-3f);
	const __m512 vc4 = _mm512_set1_ps(0x1.573A1Ap-5f);
	const __m512 vc5 = _mm512_set1_ps(0x1.0F9F9Cp-7f);

	const __m512 vminus_inf = _mm512_set1_ps(-INFINITY);

	__m512 vaccv0 = _mm512_setzero_ps();
	__m512 vaccv1 = _mm512_setzero_ps();
	__m512 vacce0 = vminus_inf;
	__m512 vacce1 = vminus_inf;
	for (; elements >= 192 * sizeof(float); elements -= 192 * sizeof(float)) {
	// Load 192 (12x16) inputs at a time.
	const __m512 vx0 = _mm512_loadu_ps(x);
	const __m512 vx1 = _mm512_loadu_ps(x + 16);
	const __m512 vx2 = _mm512_loadu_ps(x + 32);
	const __m512 vx3 = _mm512_loadu_ps(x + 48);
	const __m512 vx4 = _mm512_loadu_ps(x + 64);
	const __m512 vx5 = _mm512_loadu_ps(x + 80);
	const __m512 vx6 = _mm512_loadu_ps(x + 96);
	const __m512 vx7 = _mm512_loadu_ps(x + 112);
	const __m512 vx8 = _mm512_loadu_ps(x + 128);
	const __m512 vx9 = _mm512_loadu_ps(x + 144);
	const __m512 vx10 = _mm512_loadu_ps(x + 160);
	const __m512 vx11 = _mm512_loadu_ps(x + 176);
	x += 192;

	// Compute reduced argument elements := round(x / log(2)).
	const __m512 vn0 = _mm512_roundscale_ps(_mm512_mul_ps(vx0, vlog2e), 0);
	const __m512 vn1 = _mm512_roundscale_ps(_mm512_mul_ps(vx1, vlog2e), 0);
	const __m512 vn2 = _mm512_roundscale_ps(_mm512_mul_ps(vx2, vlog2e), 0);
	const __m512 vn3 = _mm512_roundscale_ps(_mm512_mul_ps(vx3, vlog2e), 0);
	const __m512 vn4 = _mm512_roundscale_ps(_mm512_mul_ps(vx4, vlog2e), 0);
	const __m512 vn5 = _mm512_roundscale_ps(_mm512_mul_ps(vx5, vlog2e), 0);
	const __m512 vn6 = _mm512_roundscale_ps(_mm512_mul_ps(vx6, vlog2e), 0);
	const __m512 vn7 = _mm512_roundscale_ps(_mm512_mul_ps(vx7, vlog2e), 0);
	const __m512 vn8 = _mm512_roundscale_ps(_mm512_mul_ps(vx8, vlog2e), 0);
	const __m512 vn9 = _mm512_roundscale_ps(_mm512_mul_ps(vx9, vlog2e), 0);
	const __m512 vn10 = _mm512_roundscale_ps(_mm512_mul_ps(vx10, vlog2e), 0);
	const __m512 vn11 = _mm512_roundscale_ps(_mm512_mul_ps(vx11, vlog2e), 0);

	// Compute reduced argument t := x - elements * log(2).
	// Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
	__m512 vt0 = _mm512_fmadd_ps(vn0, vminus_ln2_hi, vx0);
	__m512 vt1 = _mm512_fmadd_ps(vn1, vminus_ln2_hi, vx1);
	__m512 vt2 = _mm512_fmadd_ps(vn2, vminus_ln2_hi, vx2);
	__m512 vt3 = _mm512_fmadd_ps(vn3, vminus_ln2_hi, vx3);
	__m512 vt4 = _mm512_fmadd_ps(vn4, vminus_ln2_hi, vx4);
	__m512 vt5 = _mm512_fmadd_ps(vn5, vminus_ln2_hi, vx5);
	__m512 vt6 = _mm512_fmadd_ps(vn6, vminus_ln2_hi, vx6);
	__m512 vt7 = _mm512_fmadd_ps(vn7, vminus_ln2_hi, vx7);
	__m512 vt8 = _mm512_fmadd_ps(vn8, vminus_ln2_hi, vx8);
	__m512 vt9 = _mm512_fmadd_ps(vn9, vminus_ln2_hi, vx9);
	__m512 vt10 = _mm512_fmadd_ps(vn10, vminus_ln2_hi, vx10);
	__m512 vt11 = _mm512_fmadd_ps(vn11, vminus_ln2_hi, vx11);

	vt0 = _mm512_fmadd_ps(vn0, vminus_ln2_lo, vt0);
	vt1 = _mm512_fmadd_ps(vn1, vminus_ln2_lo, vt1);
	vt2 = _mm512_fmadd_ps(vn2, vminus_ln2_lo, vt2);
	vt3 = _mm512_fmadd_ps(vn3, vminus_ln2_lo, vt3);
	vt4 = _mm512_fmadd_ps(vn4, vminus_ln2_lo, vt4);
	vt5 = _mm512_fmadd_ps(vn5, vminus_ln2_lo, vt5);
	vt6 = _mm512_fmadd_ps(vn6, vminus_ln2_lo, vt6);
	vt7 = _mm512_fmadd_ps(vn7, vminus_ln2_lo, vt7);
	vt8 = _mm512_fmadd_ps(vn8, vminus_ln2_lo, vt8);
	vt9 = _mm512_fmadd_ps(vn9, vminus_ln2_lo, vt9);
	vt10 = _mm512_fmadd_ps(vn10, vminus_ln2_lo, vt10);
	vt11 = _mm512_fmadd_ps(vn11, vminus_ln2_lo, vt11);

	// Compute degree-5 polynomial approxiatmion for exp(t) on [-log(2)/2, log(2)/2].
	__m512 vp0 = _mm512_fmadd_ps(vc5, vt0, vc4);
	__m512 vp1 = _mm512_fmadd_ps(vc5, vt1, vc4);
	__m512 vp2 = _mm512_fmadd_ps(vc5, vt2, vc4);
	__m512 vp3 = _mm512_fmadd_ps(vc5, vt3, vc4);
	__m512 vp4 = _mm512_fmadd_ps(vc5, vt4, vc4);
	__m512 vp5 = _mm512_fmadd_ps(vc5, vt5, vc4);
	__m512 vp6 = _mm512_fmadd_ps(vc5, vt6, vc4);
	__m512 vp7 = _mm512_fmadd_ps(vc5, vt7, vc4);
	__m512 vp8 = _mm512_fmadd_ps(vc5, vt8, vc4);
	__m512 vp9 = _mm512_fmadd_ps(vc5, vt9, vc4);
	__m512 vp10 = _mm512_fmadd_ps(vc5, vt10, vc4);
	__m512 vp11 = _mm512_fmadd_ps(vc5, vt11, vc4);

	vp0 = _mm512_fmadd_ps(vp0, vt0, vc3);
	vp1 = _mm512_fmadd_ps(vp1, vt1, vc3);
	vp2 = _mm512_fmadd_ps(vp2, vt2, vc3);
	vp3 = _mm512_fmadd_ps(vp3, vt3, vc3);
	vp4 = _mm512_fmadd_ps(vp4, vt4, vc3);
	vp5 = _mm512_fmadd_ps(vp5, vt5, vc3);
	vp6 = _mm512_fmadd_ps(vp6, vt6, vc3);
	vp7 = _mm512_fmadd_ps(vp7, vt7, vc3);
	vp8 = _mm512_fmadd_ps(vp8, vt8, vc3);
	vp9 = _mm512_fmadd_ps(vp9, vt9, vc3);
	vp10 = _mm512_fmadd_ps(vp10, vt10, vc3);
	vp11 = _mm512_fmadd_ps(vp11, vt11, vc3);

	vp0 = _mm512_fmadd_ps(vp0, vt0, vc2);
	vp1 = _mm512_fmadd_ps(vp1, vt1, vc2);
	vp2 = _mm512_fmadd_ps(vp2, vt2, vc2);
	vp3 = _mm512_fmadd_ps(vp3, vt3, vc2);
	vp4 = _mm512_fmadd_ps(vp4, vt4, vc2);
	vp5 = _mm512_fmadd_ps(vp5, vt5, vc2);
	vp6 = _mm512_fmadd_ps(vp6, vt6, vc2);
	vp7 = _mm512_fmadd_ps(vp7, vt7, vc2);
	vp8 = _mm512_fmadd_ps(vp8, vt8, vc2);
	vp9 = _mm512_fmadd_ps(vp9, vt9, vc2);
	vp10 = _mm512_fmadd_ps(vp10, vt10, vc2);
	vp11 = _mm512_fmadd_ps(vp11, vt11, vc2);

	vp0 = _mm512_fmadd_ps(vp0, vt0, vc1);
	vp1 = _mm512_fmadd_ps(vp1, vt1, vc1);
	vp2 = _mm512_fmadd_ps(vp2, vt2, vc1);
	vp3 = _mm512_fmadd_ps(vp3, vt3, vc1);
	vp4 = _mm512_fmadd_ps(vp4, vt4, vc1);
	vp5 = _mm512_fmadd_ps(vp5, vt5, vc1);
	vp6 = _mm512_fmadd_ps(vp6, vt6, vc1);
	vp7 = _mm512_fmadd_ps(vp7, vt7, vc1);
	vp8 = _mm512_fmadd_ps(vp8, vt8, vc1);
	vp9 = _mm512_fmadd_ps(vp9, vt9, vc1);
	vp10 = _mm512_fmadd_ps(vp10, vt10, vc1);
	vp11 = _mm512_fmadd_ps(vp11, vt11, vc1);

	vp0 = _mm512_fmadd_ps(vp0, vt0, vc0);
	vp1 = _mm512_fmadd_ps(vp1, vt1, vc0);
	vp2 = _mm512_fmadd_ps(vp2, vt2, vc0);
	vp3 = _mm512_fmadd_ps(vp3, vt3, vc0);
	vp4 = _mm512_fmadd_ps(vp4, vt4, vc0);
	vp5 = _mm512_fmadd_ps(vp5, vt5, vc0);
	vp6 = _mm512_fmadd_ps(vp6, vt6, vc0);
	vp7 = _mm512_fmadd_ps(vp7, vt7, vc0);
	vp8 = _mm512_fmadd_ps(vp8, vt8, vc0);
	vp9 = _mm512_fmadd_ps(vp9, vt9, vc0);
	vp10 = _mm512_fmadd_ps(vp10, vt10, vc0);
	vp11 = _mm512_fmadd_ps(vp11, vt11, vc0);

	// Accumulate "extended" floating-point numbers in ("mantissa", "exponent") representation where
	// - vnX is "exponent"
	// - vpX is "mantissa"
	//
	// exp2(ae) * av + exp2(be) * bv =
	// = exp2(max(ae, be)) * exp2(ae - max(ae, be)) * av + exp2(max(ae, be)) * exp2(be - max(ae, be)) * bv
	// = exp2(max_e) * (exp2(ae - max_e) * av + exp2(be - max_e) * bv)
	// = exp2(max_e) * (exp2(delta_ae) * av + exp2(delta_be) * bv)
	//
	// For computational efficiency we add three "extended" floating-point numbers at a time.
	__m512 vmax_e0 = _mm512_max_ps(vacce0, vn0);
	__m512 vmax_e1 = _mm512_max_ps(vacce1, vn1);
	vmax_e0 = _mm512_max_ps(vmax_e0, vn2);
	vmax_e1 = _mm512_max_ps(vmax_e1, vn3);
	vmax_e0 = _mm512_max_ps(vmax_e0, vn4);
	vmax_e1 = _mm512_max_ps(vmax_e1, vn5);
	vmax_e0 = _mm512_max_ps(vmax_e0, vn6);
	vmax_e1 = _mm512_max_ps(vmax_e1, vn7);
	vmax_e0 = _mm512_max_ps(vmax_e0, vn8);
	vmax_e1 = _mm512_max_ps(vmax_e1, vn9);
	vmax_e0 = _mm512_max_ps(vmax_e0, vn10);
	vmax_e1 = _mm512_max_ps(vmax_e1, vn11);

	const __m512 vdelta_acce0 = _mm512_sub_ps(vacce0, vmax_e0);
	const __m512 vdelta_acce1 = _mm512_sub_ps(vacce1, vmax_e1);
	const __m512 vdelta_e0 = _mm512_sub_ps(vn0, vmax_e0);
	const __m512 vdelta_e1 = _mm512_sub_ps(vn1, vmax_e1);
	const __m512 vdelta_e2 = _mm512_sub_ps(vn2, vmax_e0);
	const __m512 vdelta_e3 = _mm512_sub_ps(vn3, vmax_e1);
	const __m512 vdelta_e4 = _mm512_sub_ps(vn4, vmax_e0);
	const __m512 vdelta_e5 = _mm512_sub_ps(vn5, vmax_e1);
	const __m512 vdelta_e6 = _mm512_sub_ps(vn6, vmax_e0);
	const __m512 vdelta_e7 = _mm512_sub_ps(vn7, vmax_e1);
	const __m512 vdelta_e8 = _mm512_sub_ps(vn8, vmax_e0);
	const __m512 vdelta_e9 = _mm512_sub_ps(vn9, vmax_e1);
	const __m512 vdelta_e10 = _mm512_sub_ps(vn10, vmax_e0);
	const __m512 vdelta_e11 = _mm512_sub_ps(vn11, vmax_e1);

	// Update accumulated "mantissa" and "exponent" values
	vaccv0 = _mm512_scalef_ps(vaccv0, vdelta_acce0);
	vaccv1 = _mm512_scalef_ps(vaccv1, vdelta_acce1);
	vaccv0 = _mm512_add_ps(vaccv0, _mm512_scalef_ps(vp0, vdelta_e0));
	vaccv1 = _mm512_add_ps(vaccv1, _mm512_scalef_ps(vp1, vdelta_e1));
	vaccv0 = _mm512_add_ps(vaccv0, _mm512_scalef_ps(vp2, vdelta_e2));
	vaccv1 = _mm512_add_ps(vaccv1, _mm512_scalef_ps(vp3, vdelta_e3));
	vaccv0 = _mm512_add_ps(vaccv0, _mm512_scalef_ps(vp4, vdelta_e4));
	vaccv1 = _mm512_add_ps(vaccv1, _mm512_scalef_ps(vp5, vdelta_e5));
	vaccv0 = _mm512_add_ps(vaccv0, _mm512_scalef_ps(vp6, vdelta_e6));
	vaccv1 = _mm512_add_ps(vaccv1, _mm512_scalef_ps(vp7, vdelta_e7));
	vaccv0 = _mm512_add_ps(vaccv0, _mm512_scalef_ps(vp8, vdelta_e8));
	vaccv1 = _mm512_add_ps(vaccv1, _mm512_scalef_ps(vp9, vdelta_e9));
	vaccv0 = _mm512_add_ps(vaccv0, _mm512_scalef_ps(vp10, vdelta_e10));
	vaccv1 = _mm512_add_ps(vaccv1, _mm512_scalef_ps(vp11, vdelta_e11));

	vacce0 = vmax_e0;
	vacce1 = vmax_e1;
	}

	// Reduce partial sums of "extended" floating-point numbers into a single "extended" SIMD vector of sums.
	const __m512 vmax_acce01 = _mm512_max_ps(vacce0, vacce1);

	const __m512 vdelta_acce0 = _mm512_sub_ps(vacce0, vmax_acce01);
	const __m512 vdelta_acce1 = _mm512_sub_ps(vacce1, vmax_acce01);

	__m512 vaccv = _mm512_scalef_ps(vaccv0, vdelta_acce0);
	vaccv = _mm512_add_ps(vaccv, _mm512_scalef_ps(vaccv1, vdelta_acce1));
	__m512 vacce = vmax_acce01;

	for (; elements >= 16 * sizeof(float); elements -= 16 * sizeof(float)) {
	// Load 16 inputs at a time.
	const __m512 vx = _mm512_loadu_ps(x);
	x += 16;

	// Compute reduced argument elements := round(x / log(2)).
	const __m512 vn = _mm512_roundscale_ps(_mm512_mul_ps(vx, vlog2e), 0);

	// Compute reduced argument t := x - elements * log(2).
	// Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
	__m512 vt = _mm512_fmadd_ps(vn, vminus_ln2_hi, vx);
	vt = _mm512_fmadd_ps(vn, vminus_ln2_lo, vt);

	// Compute degree-5 polynomial approxiatmion for exp(t) on [-log(2)/2, log(2)/2].
	__m512 vp = _mm512_fmadd_ps(vc5, vt, vc4);
	vp = _mm512_fmadd_ps(vp, vt, vc3);
	vp = _mm512_fmadd_ps(vp, vt, vc2);
	vp = _mm512_fmadd_ps(vp, vt, vc1);
	vp = _mm512_fmadd_ps(vp, vt, vc0);

	// Accumulate "extended" floating-point numbers in ("mantissa", "exponent") representation.
	const __m512 vmax_e = _mm512_max_ps(vacce, vn);
	const __m512 vdelta_acce = _mm512_sub_ps(vacce, vmax_e);
	const __m512 vdelta_e = _mm512_sub_ps(vn, vmax_e);
	vaccv = _mm512_scalef_ps(vaccv, vdelta_acce);
	vaccv = _mm512_add_ps(vaccv, _mm512_scalef_ps(vp, vdelta_e));

	vacce = vmax_e;
	}
	if XNN_UNLIKELY(elements != 0) {
	// Prepare mask for valid 32-bit elements (depends on elements).
	elements >>= 2 /* log2(sizeof(float)) */;
	const __mmask16 vmask = _cvtu32_mask16((uint16_t) ((uint32_t) (UINT32_C(1) << elements) - UINT32_C(1)));

	// Load up to 15 inputs at a time.
	const __m512 vx = _mm512_maskz_loadu_ps(vmask, x);

	// Compute reduced argument elements := round(x / log(2)).
	const __m512 vn = _mm512_roundscale_ps(_mm512_mul_ps(vx, vlog2e), 0);

	// Compute reduced argument t := x - elements * log(2).
	// Use Cody-Waite range reduction method (note two constants to represent log(2)) to improve accuracy.
	__m512 vt = _mm512_fmadd_ps(vn, vminus_ln2_hi, vx);
	vt = _mm512_fmadd_ps(vn, vminus_ln2_lo, vt);

	// Compute degree-5 polynomial approxiatmion for exp(t) on [-log(2)/2, log(2)/2].
	__m512 vp = _mm512_fmadd_ps(vc5, vt, vc4);
	vp = _mm512_fmadd_ps(vp, vt, vc3);
	vp = _mm512_fmadd_ps(vp, vt, vc2);
	vp = _mm512_fmadd_ps(vp, vt, vc1);
	vp = _mm512_fmadd_ps(vp, vt, vc0);

	// Accumulate "extended" floating-point numbers in ("mantissa", "exponent") representation.
	const __m512 vmax_e = _mm512_mask_max_ps(vacce, vmask, vacce, vn);
	const __m512 vdelta_acce = _mm512_sub_ps(vacce, vmax_e);
	const __m512 vdelta_e = _mm512_sub_ps(vn, vmax_e);
	vaccv = _mm512_mask_scalef_ps(vaccv, vmask, vaccv, vdelta_acce);
	vaccv = _mm512_mask_add_ps(vaccv, vmask, vaccv, _mm512_maskz_scalef_ps(vmask, vp, vdelta_e));
	vacce = vmax_e;
	}

	// Reduce partial sums of "extended" floating-point numbers into a single "extended" floating-point sum.
	const float vmax_acce = _mm512_reduce_max_ps(vacce);
	const __m512 vdelta_acce = _mm512_sub_ps(vacce, _mm512_set1_ps(vmax_acce));

	sum[0] = _mm512_reduce_add_ps(_mm512_scalef_ps(vaccv, vdelta_acce));
	sum[1] = vmax_acce;

	_mm256_zeroupper();
	}