xref: /aosp_15_r20/external/XNNPACK/src/f32-qu8-vcvt/gen/vcvt-avx512skx-x96.c (revision 4bdc94577ba0e567308109d787f7fec7b531ce36)

// 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_x96(
    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 __m256i vshuffle256_mask = _mm256_load_si256((const __m256i*) params->avx512.shuffle256_mask);
  const __m512i voutput_min = _mm512_load_si512(params->avx512.output_min);
  for (; n >= 96 * sizeof(float); n -= 96 * 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);
    x += 96;

    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);

    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);

    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);

    __m512i vacc04152637 = _mm512_packs_epi32(vacc0123, vacc4567);
    __m512i vacc8C9DAEBF = _mm512_packs_epi32(vacc89AB, vaccCDEF);
    __m512i vaccGKHLIMJN = _mm512_packs_epi32(vaccGHIJ, vaccKLMN);

    vacc04152637 = _mm512_adds_epi16(vacc04152637, voutput_zero_point);
    vacc8C9DAEBF = _mm512_adds_epi16(vacc8C9DAEBF, voutput_zero_point);
    vaccGKHLIMJN = _mm512_adds_epi16(vaccGKHLIMJN, voutput_zero_point);

    __m512i vy048C159D26AE37BF = _mm512_packus_epi16(vacc04152637, vacc8C9DAEBF);
    __m256i vyGKIMHLJN = _mm256_packus_epi16(_mm512_castsi512_si256(vaccGKHLIMJN), _mm512_extracti32x8_epi32(vaccGKHLIMJN, 1));

    vy048C159D26AE37BF = _mm512_max_epu8(vy048C159D26AE37BF, voutput_min);
    vyGKIMHLJN = _mm256_max_epu8(vyGKIMHLJN, _mm512_castsi512_si256(voutput_min));

    const __m512i vy0123456789ABCDEF = _mm512_permutexvar_epi32(vshuffle512_mask, vy048C159D26AE37BF);
    const __m256i vyGHIJKLMN = _mm256_permutevar8x32_epi32(vyGKIMHLJN, vshuffle256_mask);

    _mm512_storeu_si512(y, vy0123456789ABCDEF);
    _mm256_storeu_si256((__m256i*) (y + 64), vyGHIJKLMN);
    y += 96;
  }
  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);
  }
}