text: // Auto-generated file. Do not edit!
  //   Template: src/f32-vscaleextexp/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 <immintrin.h>
  
  #include <xnnpack/common.h>
  #include <xnnpack/intrinsics-polyfill.h>
  #include <xnnpack/vscaleextexp.h>
  
  
  void xnn_f32_vscaleextexp_ukernel__avx512f_p5_scalef_x96(
      size_t elements,
      const float* x,
      float* y,
      float scale_value,
      float scale_exp)
  {
    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 vscalev = _mm512_set1_ps(scale_value);
    const __m512 vscalee = _mm512_set1_ps(scale_exp);
  
    for (; elements >= 96 * sizeof(float); elements -= 96 * sizeof(float)) {
      // Load 96 (6x16) 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);
      x += 96;
  
      // 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);
  
      // 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);
  
      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);
  
      // Compute degree-5 polynomial approximation 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);
  
      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);
  
      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);
  
      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);
  
      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);
  
      // Multiply "extended" floating-point numbers in ("mantissa", "exponent") representation where
      //  - vnX is "exponent"
      //  - vpX is "mantissa"
      //
      // exp2(ae) * av * exp2(be) * bv =
      //   = exp2(ae + be) * (av * bv)
      __m512 vf0 = _mm512_mul_ps(vp0, vscalev);
      __m512 vf1 = _mm512_mul_ps(vp1, vscalev);
      __m512 vf2 = _mm512_mul_ps(vp2, vscalev);
      __m512 vf3 = _mm512_mul_ps(vp3, vscalev);
      __m512 vf4 = _mm512_mul_ps(vp4, vscalev);
      __m512 vf5 = _mm512_mul_ps(vp5, vscalev);
  
      const __m512 ve0 = _mm512_add_ps(vn0, vscalee);
      const __m512 ve1 = _mm512_add_ps(vn1, vscalee);
      const __m512 ve2 = _mm512_add_ps(vn2, vscalee);
      const __m512 ve3 = _mm512_add_ps(vn3, vscalee);
      const __m512 ve4 = _mm512_add_ps(vn4, vscalee);
      const __m512 ve5 = _mm512_add_ps(vn5, vscalee);
  
      // Multiply "mantissa" by the exp2("exponent").
      vf0 = _mm512_scalef_ps(vf0, ve0);
      vf1 = _mm512_scalef_ps(vf1, ve1);
      vf2 = _mm512_scalef_ps(vf2, ve2);
      vf3 = _mm512_scalef_ps(vf3, ve3);
      vf4 = _mm512_scalef_ps(vf4, ve4);
      vf5 = _mm512_scalef_ps(vf5, ve5);
  
      // Store 128 (8x16) results at a time.
      _mm512_storeu_ps(y, vf0);
      _mm512_storeu_ps(y + 0, vf0);
      _mm512_storeu_ps(y + 16, vf1);
      _mm512_storeu_ps(y + 32, vf2);
      _mm512_storeu_ps(y + 48, vf3);
      _mm512_storeu_ps(y + 64, vf4);
      _mm512_storeu_ps(y + 80, vf5);
      y += 96;
    }
  
    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 approximation 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);
  
      // Multiply "extended" floating-point numbers in ("mantissa", "exponent") representation.
      __m512 vf = _mm512_mul_ps(vp, vscalev);
      const __m512 ve = _mm512_add_ps(vn, vscalee);
  
      // Multiply "mantissa" by the exp2("exponent").
      vf = _mm512_scalef_ps(vf, ve);
  
      // Store 16 results at a time.
      _mm512_storeu_ps(y, vf);
      y += 16;
    }
    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 approximation 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);
  
      // Multiply "extended" floating-point numbers in ("mantissa", "exponent") representation.
      __m512 vf = _mm512_mul_ps(vp, vscalev);
      const __m512 ve = _mm512_add_ps(vn, vscalee);
  
      // Multiply "mantissa" by the exp2("exponent").
      vf = _mm512_scalef_ps(vf, ve);
  
      // Store up to 15 results at a time.
      _mm512_mask_storeu_ps(y, vmask, vf);
    }
    _mm256_zeroupper();
  }
  