blob: 4f990359ad792902a5dcaeb6a9e376ddef9d2edc [file] [log] [blame]
// Auto-generated file. Do not edit!
// Template: src/f32-qs8-vcvt/avx512skx.c.in
// Generator: tools/xngen
//
// Copyright 2021 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/vcvt.h>
void xnn_f32_qu8_vcvt_ukernel__avx512skx_x128(
size_t n,
const float* x,
uint8_t* y,
const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)])
{
assert(n != 0);
assert(n % sizeof(float) == 0);
assert(x != NULL);
assert(y != NULL);
const __m512 vscale = _mm512_load_ps(params->avx2.scale);
const __m512 voutput_max_less_zero_point = _mm512_load_ps(params->avx512.output_max_less_zero_point);
const __m512i voutput_zero_point = _mm512_load_si512(params->avx512.output_zero_point);
const __m512i vshuffle512_mask = _mm512_load_si512(params->avx512.shuffle512_mask);
const __m512i voutput_min = _mm512_load_si512(params->avx512.output_min);
for (; n >= 128 * sizeof(float); n -= 128 * sizeof(float)) {
__m512 vx0123 = _mm512_loadu_ps(x);
__m512 vx4567 = _mm512_loadu_ps(x + 16);
__m512 vx89AB = _mm512_loadu_ps(x + 32);
__m512 vxCDEF = _mm512_loadu_ps(x + 48);
__m512 vxGHIJ = _mm512_loadu_ps(x + 64);
__m512 vxKLMN = _mm512_loadu_ps(x + 80);
__m512 vxOPQR = _mm512_loadu_ps(x + 96);
__m512 vxSTUV = _mm512_loadu_ps(x + 112);
x += 128;
vx0123 = _mm512_mul_ps(vx0123, vscale);
vx4567 = _mm512_mul_ps(vx4567, vscale);
vx89AB = _mm512_mul_ps(vx89AB, vscale);
vxCDEF = _mm512_mul_ps(vxCDEF, vscale);
vxGHIJ = _mm512_mul_ps(vxGHIJ, vscale);
vxKLMN = _mm512_mul_ps(vxKLMN, vscale);
vxOPQR = _mm512_mul_ps(vxOPQR, vscale);
vxSTUV = _mm512_mul_ps(vxSTUV, vscale);
vx0123 = _mm512_min_ps(vx0123, voutput_max_less_zero_point);
vx4567 = _mm512_min_ps(vx4567, voutput_max_less_zero_point);
vx89AB = _mm512_min_ps(vx89AB, voutput_max_less_zero_point);
vxCDEF = _mm512_min_ps(vxCDEF, voutput_max_less_zero_point);
vxGHIJ = _mm512_min_ps(vxGHIJ, voutput_max_less_zero_point);
vxKLMN = _mm512_min_ps(vxKLMN, voutput_max_less_zero_point);
vxOPQR = _mm512_min_ps(vxOPQR, voutput_max_less_zero_point);
vxSTUV = _mm512_min_ps(vxSTUV, voutput_max_less_zero_point);
const __m512i vacc0123 = _mm512_cvtps_epi32(vx0123);
const __m512i vacc4567 = _mm512_cvtps_epi32(vx4567);
const __m512i vacc89AB = _mm512_cvtps_epi32(vx89AB);
const __m512i vaccCDEF = _mm512_cvtps_epi32(vxCDEF);
const __m512i vaccGHIJ = _mm512_cvtps_epi32(vxGHIJ);
const __m512i vaccKLMN = _mm512_cvtps_epi32(vxKLMN);
const __m512i vaccOPQR = _mm512_cvtps_epi32(vxOPQR);
const __m512i vaccSTUV = _mm512_cvtps_epi32(vxSTUV);
__m512i vacc04152637 = _mm512_packs_epi32(vacc0123, vacc4567);
__m512i vacc8C9DAEBF = _mm512_packs_epi32(vacc89AB, vaccCDEF);
__m512i vaccGKHLIMJN = _mm512_packs_epi32(vaccGHIJ, vaccKLMN);
__m512i vaccOSPTQURV = _mm512_packs_epi32(vaccOPQR, vaccSTUV);
vacc04152637 = _mm512_adds_epi16(vacc04152637, voutput_zero_point);
vacc8C9DAEBF = _mm512_adds_epi16(vacc8C9DAEBF, voutput_zero_point);
vaccGKHLIMJN = _mm512_adds_epi16(vaccGKHLIMJN, voutput_zero_point);
vaccOSPTQURV = _mm512_adds_epi16(vaccOSPTQURV, voutput_zero_point);
__m512i vy048C159D26AE37BF = _mm512_packus_epi16(vacc04152637, vacc8C9DAEBF);
__m512i vyGKOSHLPTIMQUJNRV = _mm512_packus_epi16(vaccGKHLIMJN, vaccOSPTQURV);
vy048C159D26AE37BF = _mm512_max_epu8(vy048C159D26AE37BF, voutput_min);
vyGKOSHLPTIMQUJNRV = _mm512_max_epu8(vyGKOSHLPTIMQUJNRV, voutput_min);
const __m512i vy0123456789ABCDEF = _mm512_permutexvar_epi32(vshuffle512_mask, vy048C159D26AE37BF);
const __m512i vyGHIJKLMNOPQRSTUV = _mm512_permutexvar_epi32(vshuffle512_mask, vyGKOSHLPTIMQUJNRV);
_mm512_storeu_si512(y, vy0123456789ABCDEF);
_mm512_storeu_si512(y + 64, vyGHIJKLMNOPQRSTUV);
y += 128;
}
for (; n >= 16 * sizeof(float); n -= 16 * sizeof(float)) {
__m512 vx0123 = _mm512_loadu_ps(x);
vx0123 = _mm512_mul_ps(vx0123, vscale);
vx0123 = _mm512_min_ps(vx0123, voutput_max_less_zero_point);
x += 16;
const __m512i vacc0123 = _mm512_cvtps_epi32(vx0123);
__m256i vacc0213 = _mm256_packs_epi32(_mm512_castsi512_si256(vacc0123), _mm512_extracti32x8_epi32(vacc0123, 1));
vacc0213 = _mm256_adds_epi16(vacc0213, _mm512_castsi512_si256(voutput_zero_point));
const __m128i vy0213 = _mm_packus_epi16(_mm256_castsi256_si128(vacc0213), _mm256_extracti128_si256(vacc0213, 1));
__m128i vy0123 = _mm_shuffle_epi32(vy0213, _MM_SHUFFLE(3, 1, 2, 0));
vy0123 = _mm_max_epu8(vy0123, _mm512_castsi512_si128(voutput_min));
_mm_storeu_si128((__m128i*) y, vy0123);
y += 16;
}
if XNN_UNLIKELY(n != 0) {
assert(n >= 1 * sizeof(float));
assert(n <= 15 * sizeof(float));
// Prepare mask for valid elements (depends on n).
n >>= 2 /* log2(sizeof(float)) */;
const __mmask16 vmask = _cvtu32_mask16((uint16_t) ((uint32_t) (UINT32_C(1) << n) - UINT32_C(1)));
__m512 vx0123 = _mm512_maskz_loadu_ps(vmask, x);
vx0123 = _mm512_mul_ps(vx0123, vscale);
vx0123 = _mm512_min_ps(vx0123, voutput_max_less_zero_point);
const __m512i vacc0123 = _mm512_cvtps_epi32(vx0123);
__m256i vacc0213 = _mm256_packs_epi32(_mm512_castsi512_si256(vacc0123), _mm512_extracti32x8_epi32(vacc0123, 1));
vacc0213 = _mm256_adds_epi16(vacc0213, _mm512_castsi512_si256(voutput_zero_point));
const __m128i vy0213 = _mm_packus_epi16(_mm256_castsi256_si128(vacc0213), _mm256_extracti128_si256(vacc0213, 1));
__m128i vy0123 = _mm_shuffle_epi32(vy0213, _MM_SHUFFLE(3, 1, 2, 0));
vy0123 = _mm_max_epu8(vy0123, _mm512_castsi512_si128(voutput_min));
_mm_mask_storeu_epi8(y, vmask, vy0123);
}
}