blob: ddddb4e9a2fd59248b97b5ebf10e094c61c97c51 [file] [log] [blame]
// 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>
static const int32_t mask_table[14] = {-1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0};
void xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x32(
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_broadcast_ps((const __m128*) params->sse.prescale);
const __m256 valpha = _mm256_broadcast_ps((const __m128*) params->sse.alpha);
const __m256 vbeta = _mm256_broadcast_ps((const __m128*) params->sse.beta);
const __m256 vsat_cutoff = _mm256_set1_ps(-0x1.154246p+4f);
const __m256 vmagic_bias = _mm256_set1_ps(0x1.800000p20f);
const __m256 vlog2e = _mm256_set1_ps(0x1.715476p+0f);
const __m256i vtable = _mm256_set_epi32(
0x3F7AC0C7, 0x3F7744FD, 0x3F75672A, 0x3F7504F3, 0x3F75FED7, 0x3F7837F0, 0x3F7B95C2, 0x3F800000);
const __m256 vminus_ln2 = _mm256_set1_ps(-0x1.62E43p-1f);
const __m256 vc4 = _mm256_set1_ps(0x1.5558ECp-5f);
const __m256 vc3 = _mm256_set1_ps(0x1.555C20p-3f);
const __m256 vc2 = _mm256_set1_ps(0x1.000000p-1f);
for (; n >= 32 * sizeof(float); n -= 32 * sizeof(float)) {
__m256 vx0 = _mm256_loadu_ps(x);
__m256 vx1 = _mm256_loadu_ps(x + 8);
__m256 vx2 = _mm256_loadu_ps(x + 16);
__m256 vx3 = _mm256_loadu_ps(x + 24);
x += 32;
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));
const __m256 vz2 = _mm256_max_ps(vsat_cutoff, _mm256_mul_ps(vx2, vprescale));
const __m256 vz3 = _mm256_max_ps(vsat_cutoff, _mm256_mul_ps(vx3, vprescale));
__m256 vn0 = _mm256_fmadd_ps(vz0, vlog2e, vmagic_bias);
__m256 vn1 = _mm256_fmadd_ps(vz1, vlog2e, vmagic_bias);
__m256 vn2 = _mm256_fmadd_ps(vz2, vlog2e, vmagic_bias);
__m256 vn3 = _mm256_fmadd_ps(vz3, 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);
const __m256i ven2 = _mm256_slli_epi32(_mm256_castps_si256(vn2), 20);
const __m256i vl2 = _mm256_permutevar8x32_epi32(vtable, _mm256_castps_si256(vn2));
vn2 = _mm256_sub_ps(vn2, vmagic_bias);
const __m256i ven3 = _mm256_slli_epi32(_mm256_castps_si256(vn3), 20);
const __m256i vl3 = _mm256_permutevar8x32_epi32(vtable, _mm256_castps_si256(vn3));
vn3 = _mm256_sub_ps(vn3, 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 vs2 = _mm256_castsi256_ps(_mm256_add_epi32(vl2, ven2));
__m256 vt2 = _mm256_fmadd_ps(vn2, vminus_ln2, vz2);
__m256 vs3 = _mm256_castsi256_ps(_mm256_add_epi32(vl3, ven3));
__m256 vt3 = _mm256_fmadd_ps(vn3, vminus_ln2, vz3);
__m256 vp0 = _mm256_fmadd_ps(vc4, vt0, vc3);
__m256 vp1 = _mm256_fmadd_ps(vc4, vt1, vc3);
__m256 vp2 = _mm256_fmadd_ps(vc4, vt2, vc3);
__m256 vp3 = _mm256_fmadd_ps(vc4, vt3, vc3);
vp0 = _mm256_fmadd_ps(vp0, vt0, vc2);
vp1 = _mm256_fmadd_ps(vp1, vt1, vc2);
vp2 = _mm256_fmadd_ps(vp2, vt2, vc2);
vp3 = _mm256_fmadd_ps(vp3, vt3, 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);
vp2 = _mm256_mul_ps(vp2, vt2);
vt2 = _mm256_mul_ps(vt2, vs2);
vp3 = _mm256_mul_ps(vp3, vt3);
vt3 = _mm256_mul_ps(vt3, vs3);
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);
vs2 = _mm256_fmsub_ps(vs2, valpha, valpha);
vp2 = _mm256_fmadd_ps(vp2, vt2, vt2);
vs3 = _mm256_fmsub_ps(vs3, valpha, valpha);
vp3 = _mm256_fmadd_ps(vp3, vt3, vt3);
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 ve2 = _mm256_fmadd_ps(vp2, valpha, vs2);
vx2 = _mm256_mul_ps(vx2, vbeta);
const __m256 ve3 = _mm256_fmadd_ps(vp3, valpha, vs3);
vx3 = _mm256_mul_ps(vx3, vbeta);
const __m256 vy0 = _mm256_blendv_ps(vx0, ve0, vx0);
const __m256 vy1 = _mm256_blendv_ps(vx1, ve1, vx1);
const __m256 vy2 = _mm256_blendv_ps(vx2, ve2, vx2);
const __m256 vy3 = _mm256_blendv_ps(vx3, ve3, vx3);
_mm256_storeu_ps(y, vy0);
_mm256_storeu_ps(y + 8, vy1);
_mm256_storeu_ps(y + 16, vy2);
_mm256_storeu_ps(y + 24, vy3);
y += 32;
}
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));
__m256i vmask = _mm256_loadu_si256((const __m256i*) ((uintptr_t) &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);
// _mm256_maskstore_ps(y, vmask, vf) could be used here, but triggers msan failures (probably an msan bug).
__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);
}
}
}