// Auto-generated file. Do not edit!
//   Template: src/f32-velu/avx2-rr1-lut8-p4-perm.c.in
//   Generator: tools/xngen
//
// Copyright 2020 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/vunary.h>


void xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x16(
    size_t n,
    const float* x,
    float* y,
    const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)])
{
  assert(n % sizeof(float) == 0);

  const __m256 vprescale = _mm256_load_ps(params->avx2_rr1_lut8_p4.prescale);
  const __m256 valpha = _mm256_load_ps(params->avx2_rr1_lut8_p4.alpha);
  const __m256 vbeta = _mm256_load_ps(params->avx2_rr1_lut8_p4.beta);
  const __m256 vsat_cutoff = _mm256_load_ps(params->avx2_rr1_lut8_p4.sat_cutoff);
  const __m256 vmagic_bias = _mm256_load_ps(params->avx2_rr1_lut8_p4.magic_bias);
  const __m256 vlog2e = _mm256_load_ps(params->avx2_rr1_lut8_p4.log2e);
  const __m256i vtable = _mm256_load_si256((const __m256i*) params->avx2_rr1_lut8_p4.table);
  const __m256 vminus_ln2 = _mm256_load_ps(params->avx2_rr1_lut8_p4.minus_ln2);
  const __m256 vc4 = _mm256_load_ps(params->avx2_rr1_lut8_p4.c4);
  const __m256 vc3 = _mm256_load_ps(params->avx2_rr1_lut8_p4.c3);
  const __m256 vc2 = _mm256_load_ps(params->avx2_rr1_lut8_p4.c2);

  for (; n >= 16 * sizeof(float); n -= 16 * sizeof(float)) {
    __m256 vx0 = _mm256_loadu_ps(x);
    __m256 vx1 = _mm256_loadu_ps(x + 8);
    x += 16;

    const __m256 vz0 = _mm256_max_ps(vsat_cutoff, _mm256_mul_ps(vx0, vprescale));
    const __m256 vz1 = _mm256_max_ps(vsat_cutoff, _mm256_mul_ps(vx1, vprescale));

    __m256 vn0 = _mm256_fmadd_ps(vz0, vlog2e, vmagic_bias);
    __m256 vn1 = _mm256_fmadd_ps(vz1, vlog2e, vmagic_bias);

    const __m256i ven0 = _mm256_slli_epi32(_mm256_castps_si256(vn0), 20);
    const __m256i vl0 = _mm256_permutevar8x32_epi32(vtable, _mm256_castps_si256(vn0));
    vn0 = _mm256_sub_ps(vn0, vmagic_bias);
    const __m256i ven1 = _mm256_slli_epi32(_mm256_castps_si256(vn1), 20);
    const __m256i vl1 = _mm256_permutevar8x32_epi32(vtable, _mm256_castps_si256(vn1));
    vn1 = _mm256_sub_ps(vn1, vmagic_bias);

    __m256 vs0 = _mm256_castsi256_ps(_mm256_add_epi32(vl0, ven0));
    __m256 vt0 = _mm256_fmadd_ps(vn0, vminus_ln2, vz0);
    __m256 vs1 = _mm256_castsi256_ps(_mm256_add_epi32(vl1, ven1));
    __m256 vt1 = _mm256_fmadd_ps(vn1, vminus_ln2, vz1);

    __m256 vp0 = _mm256_fmadd_ps(vc4, vt0, vc3);
    __m256 vp1 = _mm256_fmadd_ps(vc4, vt1, vc3);

    vp0 = _mm256_fmadd_ps(vp0, vt0, vc2);
    vp1 = _mm256_fmadd_ps(vp1, vt1, vc2);

    vp0 = _mm256_mul_ps(vp0, vt0);
    vt0 = _mm256_mul_ps(vt0, vs0);
    vp1 = _mm256_mul_ps(vp1, vt1);
    vt1 = _mm256_mul_ps(vt1, vs1);

    vs0 = _mm256_fmsub_ps(vs0, valpha, valpha);
    vp0 = _mm256_fmadd_ps(vp0, vt0, vt0);
    vs1 = _mm256_fmsub_ps(vs1, valpha, valpha);
    vp1 = _mm256_fmadd_ps(vp1, vt1, vt1);

    const __m256 ve0 = _mm256_fmadd_ps(vp0, valpha, vs0);
    vx0 = _mm256_mul_ps(vx0, vbeta);
    const __m256 ve1 = _mm256_fmadd_ps(vp1, valpha, vs1);
    vx1 = _mm256_mul_ps(vx1, vbeta);

    const __m256 vy0 = _mm256_blendv_ps(vx0, ve0, vx0);
    const __m256 vy1 = _mm256_blendv_ps(vx1, ve1, vx1);

    _mm256_storeu_ps(y, vy0);
    _mm256_storeu_ps(y + 8, vy1);
    y += 16;
  }
  for (; n >= 8 * sizeof(float); n -= 8 * sizeof(float)) {
    __m256 vx = _mm256_loadu_ps(x);
    x += 8;

    const __m256 vz = _mm256_max_ps(vsat_cutoff, _mm256_mul_ps(vx, vprescale));

    __m256 vn = _mm256_fmadd_ps(vz, vlog2e, vmagic_bias);
    const __m256i ven = _mm256_slli_epi32(_mm256_castps_si256(vn), 20);
    const __m256i vl = _mm256_permutevar8x32_epi32(vtable, _mm256_castps_si256(vn));
    __m256 vs = _mm256_castsi256_ps(_mm256_add_epi32(vl, ven));
    vn = _mm256_sub_ps(vn, vmagic_bias);

    __m256 vt = _mm256_fmadd_ps(vn, vminus_ln2, vz);

    __m256 vp = _mm256_fmadd_ps(vc4, vt, vc3);
    vp = _mm256_fmadd_ps(vp, vt, vc2);
    vp = _mm256_mul_ps(vp, vt);

    vt = _mm256_mul_ps(vt, vs);
    vs = _mm256_fmsub_ps(vs, valpha, valpha);
    vp = _mm256_fmadd_ps(vp, vt, vt);
    const __m256 ve = _mm256_fmadd_ps(vp, valpha, vs);

    vx = _mm256_mul_ps(vx, vbeta);
    const __m256 vy = _mm256_blendv_ps(vx, ve, vx);

    _mm256_storeu_ps(y, vy);
    y += 8;
  }
  if XNN_UNLIKELY(n != 0) {
    assert(n >= 1 * sizeof(float));
    assert(n <= 7 * sizeof(float));
    const __m256i vmask = _mm256_loadu_si256((const __m256i*) ((uintptr_t) &params->avx2_rr1_lut8_p4.mask_table[7] - n));

    __m256 vx = _mm256_maskload_ps(x, vmask);

    const __m256 vz = _mm256_max_ps(vsat_cutoff, _mm256_mul_ps(vx, vprescale));

    __m256 vn = _mm256_fmadd_ps(vz, vlog2e, vmagic_bias);
    const __m256i ven = _mm256_slli_epi32(_mm256_castps_si256(vn), 20);
    const __m256i vl = _mm256_permutevar8x32_epi32(vtable, _mm256_castps_si256(vn));
    __m256 vs = _mm256_castsi256_ps(_mm256_add_epi32(vl, ven));
    vn = _mm256_sub_ps(vn, vmagic_bias);

    __m256 vt = _mm256_fmadd_ps(vn, vminus_ln2, vz);

    __m256 vp = _mm256_fmadd_ps(vc4, vt, vc3);
    vp = _mm256_fmadd_ps(vp, vt, vc2);
    vp = _mm256_mul_ps(vp, vt);

    vt = _mm256_mul_ps(vt, vs);
    vs = _mm256_fmsub_ps(vs, valpha, valpha);
    vp = _mm256_fmadd_ps(vp, vt, vt);
    const __m256 ve = _mm256_fmadd_ps(vp, valpha, vs);

    vx = _mm256_mul_ps(vx, vbeta);
    const __m256 vy = _mm256_blendv_ps(vx, ve, vx);

    __m128 vy_lo = _mm256_castps256_ps128(vy);
    if (n & (4 * sizeof(float))) {
      _mm_storeu_ps(y, vy_lo);
      vy_lo = _mm256_extractf128_ps(vy, 1);
      y += 4;
    }
    if (n & (2 * sizeof(float))) {
      _mm_storel_pi((__m64*) y, vy_lo);
      vy_lo = _mm_movehl_ps(vy_lo, vy_lo);
      y += 2;
    }
    if (n & (1 * sizeof(float))) {
      _mm_store_ss(y, vy_lo);
    }
  }
}