blob: 07264680a1a2255fb847cd7c7fa5219b6ef7b828 [file] [log] [blame]
// 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.
$assert DATATYPE in ["QS8", "QU8"]
$assert BATCH_TILE % 16 == 0
$assert BATCH_TILE >= 16
$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
#include <assert.h>
#include <immintrin.h>
#include <xnnpack/intrinsics-polyfill.h>
#include <xnnpack/vaddsub.h>
$XINT8_T = {"QS8": "int8_t", "QU8": "uint8_t"}[DATATYPE]
$_MM512_CVTEPX8_EPI32 = {"QS8": "_mm512_cvtepi8_epi32", "QU8": "_mm512_cvtepu8_epi32"}[DATATYPE]
$_MM256_PACKXS_EPI16 = {"QS8": "_mm256_packs_epi16", "QU8": "_mm256_packus_epi16"}[DATATYPE]
$_MM_PACKXS_EPI16 = {"QS8": "_mm_packs_epi16", "QU8": "_mm_packus_epi16"}[DATATYPE]
$_MM256_MIN_EPX8 = {"QS8": "_mm256_min_epi8", "QU8": "_mm256_min_epu8"}[DATATYPE]
$_MM256_MAX_EPX8 = {"QS8": "_mm256_max_epi8", "QU8": "_mm256_max_epu8"}[DATATYPE]
$_MM_MIN_EPX8 = {"QS8": "_mm_min_epi8", "QU8": "_mm_min_epu8"}[DATATYPE]
$_MM_MAX_EPX8 = {"QS8": "_mm_max_epi8", "QU8": "_mm_max_epu8"}[DATATYPE]
void xnn_${DATATYPE.lower()}_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x${BATCH_TILE}(
size_t n,
const ${XINT8_T}* input_a,
const ${XINT8_T}* input_b,
${XINT8_T}* output,
const union xnn_${DATATYPE.lower()}_addsub_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN XNN_DISABLE_MSAN
{
const __m512i va_multiplier = _mm512_load_si512(params->avx512.a_multiplier);
const __m128i vshift = _mm_loadu_si32(params->avx512.shift);
$if BATCH_TILE > 16:
const __m512i voutput_zero_point = _mm512_load_si512(params->avx512.output_zero_point);
const __m256i voutput_min = _mm256_load_si256((const __m256i*) params->avx512.output_min);
const __m256i voutput_max = _mm256_load_si256((const __m256i*) params->avx512.output_max);
$else:
const __m256i voutput_zero_point = _mm256_load_si256((const __m256i*) params->avx512.output_zero_point);
const __m128i voutput_min = _mm_load_si128((const __m128i*) params->avx512.output_min);
const __m128i voutput_max = _mm_load_si128((const __m128i*) params->avx512.output_max);
const __m512i vbias = _mm512_add_epi32(
_mm512_broadcastd_epi32(_mm_cvtsi32_si128(params->avx512.b_multiplier[0] * (int32_t) *input_b)),
_mm512_load_si512(params->avx512.bias));
for (; n >= ${BATCH_TILE} * sizeof(${XINT8_T}); n -= ${BATCH_TILE} * sizeof(${XINT8_T})) {
const __m512i va${ABC[0:16]} = ${_MM512_CVTEPX8_EPI32}(_mm_loadu_si128((const __m128i*) input_a));
$for N in range(16, BATCH_TILE, 16):
const __m512i va${ABC[N:N+16]} = ${_MM512_CVTEPX8_EPI32}(_mm_loadu_si128((const __m128i*) (input_a + ${N})));
input_a += ${BATCH_TILE};
$for N in range(0, BATCH_TILE, 16):
__m512i vacc${ABC[N:N+16]} = _mm512_add_epi32(vbias, _mm512_mullo_epi32(va${ABC[N:N+16]}, va_multiplier));
$for N in range(0, BATCH_TILE, 16):
vacc${ABC[N:N+16]} = _mm512_sra_epi32(vacc${ABC[N:N+16]}, vshift);
$for N in range(0, BATCH_TILE, 32):
$if N + 16 < BATCH_TILE:
__m512i vout${ABC[N:N+4]}${ABC[N+16:N+20]}${ABC[N+4:N+8]}${ABC[N+20:N+24]}${ABC[N+8:N+12]}${ABC[N+24:N+28]}${ABC[N+12:N+16]}${ABC[N+28:N+32]} = _mm512_adds_epi16(_mm512_packs_epi32(vacc${ABC[N:N+16]}, vacc${ABC[N+16:N+32]}), voutput_zero_point);
$elif BATCH_TILE > 16:
__m256i vout${ABC[N:N+4]}${ABC[N+8:N+12]}${ABC[N+4:N+8]}${ABC[N+12:N+16]} = _mm256_adds_epi16(_mm256_packs_epi32(_mm512_castsi512_si256(vacc${ABC[N:N+16]}), _mm512_extracti32x8_epi32(vacc${ABC[N:N+16]}, 1)), _mm512_castsi512_si256(voutput_zero_point));
$else:
__m256i vout${ABC[N:N+4]}${ABC[N+8:N+12]}${ABC[N+4:N+8]}${ABC[N+12:N+16]} = _mm256_adds_epi16(_mm256_packs_epi32(_mm512_castsi512_si256(vacc${ABC[N:N+16]}), _mm512_extracti32x8_epi32(vacc${ABC[N:N+16]}, 1)), voutput_zero_point);
$for N in range(0, BATCH_TILE, 32):
$if N + 16 < BATCH_TILE:
__m256i vout${ABC[N:N+32]} = _mm256_permutevar8x32_epi32(${_MM256_PACKXS_EPI16}(_mm512_castsi512_si256(vout${ABC[N:N+4]}${ABC[N+16:N+20]}${ABC[N+4:N+8]}${ABC[N+20:N+24]}${ABC[N+8:N+12]}${ABC[N+24:N+28]}${ABC[N+12:N+16]}${ABC[N+28:N+32]}), _mm512_extracti32x8_epi32(vout${ABC[N:N+4]}${ABC[N+16:N+20]}${ABC[N+4:N+8]}${ABC[N+20:N+24]}${ABC[N+8:N+12]}${ABC[N+24:N+28]}${ABC[N+12:N+16]}${ABC[N+28:N+32]}, 1)), _mm256_set_epi32(7, 3, 5, 1, 6, 2, 4, 0));
$else:
__m128i vout${ABC[N:N+16]} = _mm_shuffle_epi32(${_MM_PACKXS_EPI16}(_mm256_castsi256_si128(vout${ABC[N:N+4]}${ABC[N+8:N+12]}${ABC[N+4:N+8]}${ABC[N+12:N+16]}), _mm256_extracti128_si256(vout${ABC[N:N+4]}${ABC[N+8:N+12]}${ABC[N+4:N+8]}${ABC[N+12:N+16]}, 1)), _MM_SHUFFLE(3, 1, 2, 0));
$for N in range(0, BATCH_TILE, 32):
$if N + 16 < BATCH_TILE:
vout${ABC[N:N+32]} = ${_MM256_MAX_EPX8}(vout${ABC[N:N+32]}, voutput_min);
$elif BATCH_TILE > 16:
vout${ABC[N:N+16]} = ${_MM_MAX_EPX8}(vout${ABC[N:N+16]}, _mm256_castsi256_si128(voutput_min));
$else:
vout${ABC[N:N+16]} = ${_MM_MAX_EPX8}(vout${ABC[N:N+16]}, voutput_min);
$for N in range(0, BATCH_TILE, 32):
$if N + 16 < BATCH_TILE:
vout${ABC[N:N+32]} = ${_MM256_MIN_EPX8}(vout${ABC[N:N+32]}, voutput_max);
$elif BATCH_TILE > 16:
vout${ABC[N:N+16]} = ${_MM_MIN_EPX8}(vout${ABC[N:N+16]}, _mm256_castsi256_si128(voutput_max));
$else:
vout${ABC[N:N+16]} = ${_MM_MIN_EPX8}(vout${ABC[N:N+16]}, voutput_max);
$if BATCH_TILE >= 32:
_mm256_storeu_si256((__m256i*) output, vout${ABC[0:32]});
$else:
_mm_storeu_si128((__m128i*) output, vout${ABC[0:16]});
$for N in range(32, BATCH_TILE, 32):
$if N + 8 < BATCH_TILE:
_mm256_storeu_si256((__m256i*) (output + ${N}), vout${ABC[N:N+32]});
$else:
_mm_storeu_si128((__m128i*) (output + ${N}), vout${ABC[N:N+16]});
output += ${BATCH_TILE};
}
if XNN_UNLIKELY(n != 0) {
${"do " if BATCH_TILE > 16 else ""}{
$if BATCH_TILE > 16:
const __m512i va${ABC[0:16]} = ${_MM512_CVTEPX8_EPI32}(_mm_loadu_si128((const __m128i*) input_a));
input_a += 16;
$else:
const __mmask16 vmask = _cvtu32_mask16((uint32_t) ((UINT32_C(1) << n) - UINT32_C(1)));
const __m512i va${ABC[0:16]} = ${_MM512_CVTEPX8_EPI32}(_mm_maskz_loadu_epi8(vmask, input_a));
__m512i vacc${ABC[0:16]} = _mm512_add_epi32(vbias, _mm512_mullo_epi32(va${ABC[0:16]}, va_multiplier));
vacc${ABC[0:16]} = _mm512_sra_epi32(vacc${ABC[0:16]}, vshift);
$if BATCH_TILE > 16:
__m256i vout${ABC[0:4]}${ABC[8:12]}${ABC[4:8]}${ABC[12:16]} = _mm256_adds_epi16(_mm256_packs_epi32(_mm512_castsi512_si256(vacc${ABC[0:16]}), _mm512_extracti32x8_epi32(vacc${ABC[0:16]}, 1)), _mm512_castsi512_si256(voutput_zero_point));
$else:
__m256i vout${ABC[0:4]}${ABC[8:12]}${ABC[4:8]}${ABC[12:16]} = _mm256_adds_epi16(_mm256_packs_epi32(_mm512_castsi512_si256(vacc${ABC[0:16]}), _mm512_extracti32x8_epi32(vacc${ABC[0:16]}, 1)), voutput_zero_point);
__m128i vout${ABC[0:16]} = _mm_shuffle_epi32(${_MM_PACKXS_EPI16}(_mm256_castsi256_si128(vout${ABC[N:N+4]}${ABC[N+8:N+12]}${ABC[N+4:N+8]}${ABC[N+12:N+16]}), _mm256_extracti128_si256(vout${ABC[N:N+4]}${ABC[N+8:N+12]}${ABC[N+4:N+8]}${ABC[N+12:N+16]}, 1)), _MM_SHUFFLE(3, 1, 2, 0));
$if BATCH_TILE > 16:
vout${ABC[0:16]} = ${_MM_MAX_EPX8}(vout${ABC[0:16]}, _mm256_castsi256_si128(voutput_min));
vout${ABC[0:16]} = ${_MM_MIN_EPX8}(vout${ABC[0:16]}, _mm256_castsi256_si128(voutput_max));
$else:
vout${ABC[0:16]} = ${_MM_MAX_EPX8}(vout${ABC[0:16]}, voutput_min);
vout${ABC[0:16]} = ${_MM_MIN_EPX8}(vout${ABC[0:16]}, voutput_max);
$if BATCH_TILE > 16:
if XNN_LIKELY(n >= (16 * sizeof(${XINT8_T}))) {
_mm_storeu_si128((__m128i*) output, vout${ABC[0:16]});
output += 16;
n -= 16 * sizeof(${XINT8_T});
} else {
const __mmask16 vmask = _cvtu32_mask16((uint32_t) ((UINT32_C(1) << n) - UINT32_C(1)));
_mm_mask_storeu_epi8(output, vmask, vout${ABC[0:16]});
n = 0;
}
$else:
_mm_mask_storeu_epi8(output, vmask, vout${ABC[0:16]});
}${" while (n != 0);" if BATCH_TILE > 16 else ""}
}
}