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// Auto-generated file. Do not edit!
// Template: src/f32-velu/avx2-rr1-lut16-p3-gather.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>
extern XNN_INTERNAL const int xnn_table_exp2minus_k_over_16[16];
void xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_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_lut16_p3.prescale);
const __m256 valpha = _mm256_load_ps(params->avx2_rr1_lut16_p3.alpha);
const __m256 vbeta = _mm256_load_ps(params->avx2_rr1_lut16_p3.beta);
const __m256 vsat_cutoff = _mm256_load_ps(params->avx2_rr1_lut16_p3.sat_cutoff);
const __m256 vmagic_bias = _mm256_load_ps(params->avx2_rr1_lut16_p3.magic_bias);
const __m256 vlog2e = _mm256_load_ps(params->avx2_rr1_lut16_p3.log2e);
const __m256i vindex_mask = _mm256_load_si256((const __m256i*) params->avx2_rr1_lut16_p3.index_mask);
const __m256 vminus_ln2 = _mm256_load_ps(params->avx2_rr1_lut16_p3.minus_ln2);
const __m256 vc3 = _mm256_load_ps(params->avx2_rr1_lut16_p3.c3);
const __m256 vc2 = _mm256_load_ps(params->avx2_rr1_lut16_p3.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 vidx0 = _mm256_and_si256(_mm256_castps_si256(vn0), vindex_mask);
const __m256i vl0 = _mm256_i32gather_epi32(xnn_table_exp2minus_k_over_16, vidx0, sizeof(float));
const __m256i vidx1 = _mm256_and_si256(_mm256_castps_si256(vn1), vindex_mask);
const __m256i vl1 = _mm256_i32gather_epi32(xnn_table_exp2minus_k_over_16, vidx1, sizeof(float));
const __m256i ven0 = _mm256_slli_epi32(_mm256_castps_si256(vn0), 19);
vn0 = _mm256_sub_ps(vn0, vmagic_bias);
const __m256i ven1 = _mm256_slli_epi32(_mm256_castps_si256(vn1), 19);
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(vc3, vt0, vc2);
__m256 vp1 = _mm256_fmadd_ps(vc3, 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 vidx = _mm256_and_si256(_mm256_castps_si256(vn), vindex_mask);
const __m256i vl = _mm256_i32gather_epi32(xnn_table_exp2minus_k_over_16, vidx, sizeof(float));
const __m256i ven = _mm256_slli_epi32(_mm256_castps_si256(vn), 19);
vn = _mm256_sub_ps(vn, vmagic_bias);
__m256 vs = _mm256_castsi256_ps(_mm256_add_epi32(vl, ven));
__m256 vt = _mm256_fmadd_ps(vn, vminus_ln2, vz);
__m256 vp = _mm256_fmadd_ps(vc3, 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_lut16_p3.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 vidx = _mm256_and_si256(_mm256_castps_si256(vn), vindex_mask);
const __m256i vl = _mm256_i32gather_epi32(xnn_table_exp2minus_k_over_16, vidx, sizeof(float));
const __m256i ven = _mm256_slli_epi32(_mm256_castps_si256(vn), 19);
vn = _mm256_sub_ps(vn, vmagic_bias);
__m256 vs = _mm256_castsi256_ps(_mm256_add_epi32(vl, ven));
__m256 vt = _mm256_fmadd_ps(vn, vminus_ln2, vz);
__m256 vp = _mm256_fmadd_ps(vc3, 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);
}
}
}