aboutsummaryrefslogtreecommitdiff
path: root/src/qs8-vaddc
diff options
context:
space:
mode:
authorMarat Dukhan <maratek@google.com>2020-09-08 23:57:14 -0700
committerXNNPACK Team <xnnpack-github-robot@google.com>2020-09-08 23:57:52 -0700
commite6dc0b6df1cabbb370650927e810511877813b8a (patch)
treeae0c472b4fc044a7b511b41f0989a3851048d803 /src/qs8-vaddc
parentbb9225e24044023b0cc0ae14c8b53ff3f0d94419 (diff)
downloadXNNPACK-e6dc0b6df1cabbb370650927e810511877813b8a.tar.gz
AVX2 versions of QS8 VADD[C] microkernels
PiperOrigin-RevId: 330666026
Diffstat (limited to 'src/qs8-vaddc')
-rw-r--r--src/qs8-vaddc/avx2-mul32-ld64.c.in145
-rw-r--r--src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x16.c96
-rw-r--r--src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x24.c104
-rw-r--r--src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x32.c108
-rw-r--r--src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x8.c84
5 files changed, 537 insertions, 0 deletions
diff --git a/src/qs8-vaddc/avx2-mul32-ld64.c.in b/src/qs8-vaddc/avx2-mul32-ld64.c.in
new file mode 100644
index 000000000..6b29b59eb
--- /dev/null
+++ b/src/qs8-vaddc/avx2-mul32-ld64.c.in
@@ -0,0 +1,145 @@
+// 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.
+
+$assert BATCH_TILE % 8 == 0
+$assert BATCH_TILE >= 8
+$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
+#include <assert.h>
+
+#include <immintrin.h>
+
+#include <xnnpack/intrinsics-polyfill.h>
+#include <xnnpack/vadd.h>
+
+
+void xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x${BATCH_TILE}(
+ size_t n,
+ const int8_t* input_x,
+ const int8_t* input_y,
+ int8_t* output,
+ const union xnn_qs8_add_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN
+{
+ const __m256i vx_multiplier = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.x_multiplier));
+ const __m256i vremainder_mask = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.remainder_mask));
+ const __m256i vremainder_threshold = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.remainder_threshold));
+ const __m128i vshift = _mm_cvtsi32_si128((int) params->sse2.shift);
+ $if BATCH_TILE > 8:
+ const __m256i voutput_zero_point = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.output_zero_point));
+ const __m256i voutput_min = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.output_min));
+ const __m256i voutput_max = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.output_max));
+ $else:
+ const __m128i voutput_zero_point = _mm_load_si128((const __m128i*) params->sse2.output_zero_point);
+ const __m128i voutput_min = _mm_load_si128((const __m128i*) params->sse2.output_min);
+ const __m128i voutput_max = _mm_load_si128((const __m128i*) params->sse2.output_max);
+
+ __m256i vzero_point_product = _mm256_broadcastsi128_si256(_mm_add_epi32(
+ _mm_broadcastd_epi32(_mm_cvtsi32_si128(params->sse2.y_multiplier[0] * (int32_t) *input_y)),
+ _mm_load_si128((const __m128i*) params->sse2.zero_point_product)));
+ for (; n >= ${BATCH_TILE} * sizeof(int8_t); n -= ${BATCH_TILE} * sizeof(int8_t)) {
+ const __m256i vx${ABC[0:8]} = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) input_x));
+ $for N in range(8, BATCH_TILE, 8):
+ const __m256i vx${ABC[N:N+8]} = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) (input_x + ${N})));
+ input_x += ${BATCH_TILE};
+
+ $for N in range(0, BATCH_TILE, 8):
+ __m256i vacc${ABC[N:N+8]} = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vx${ABC[N:N+8]}, vx_multiplier));
+
+ $for N in range(0, BATCH_TILE, 8):
+ const __m256i vrem${ABC[N:N+8]} = _mm256_add_epi32(_mm256_and_si256(vacc${ABC[N:N+8]}, vremainder_mask), _mm256_srai_epi32(vacc${ABC[N:N+8]}, 31));
+
+ $for N in range(0, BATCH_TILE, 8):
+ vacc${ABC[N:N+8]} = _mm256_sub_epi32(_mm256_sra_epi32(vacc${ABC[N:N+8]}, vshift), _mm256_cmpgt_epi32(vrem${ABC[N:N+8]}, vremainder_threshold));
+
+ $for N in range(0, BATCH_TILE, 16):
+ $if N + 8 < BATCH_TILE:
+ __m256i vout${ABC[N:N+4]}${ABC[N+8:N+12]}${ABC[N+4:N+8]}${ABC[N+12:N+16]} = _mm256_adds_epi16(_mm256_packs_epi32(vacc${ABC[N:N+8]}, vacc${ABC[N+8:N+16]}), voutput_zero_point);
+ $elif BATCH_TILE > 8:
+ __m128i vout${ABC[N:N+8]} = _mm_adds_epi16(_mm_packs_epi32(_mm256_castsi256_si128(vacc${ABC[N:N+8]}), _mm256_extracti128_si256(vacc${ABC[N:N+8]}, 1)), _mm256_castsi256_si128(voutput_zero_point));
+ $else:
+ __m128i vout${ABC[N:N+8]} = _mm_adds_epi16(_mm_packs_epi32(_mm256_castsi256_si128(vacc${ABC[N:N+8]}), _mm256_extracti128_si256(vacc${ABC[N:N+8]}, 1)), voutput_zero_point);
+
+ $for N in range(0, BATCH_TILE, 16):
+ $if N + 8 < BATCH_TILE:
+ vout${ABC[N:N+4]}${ABC[N+8:N+12]}${ABC[N+4:N+8]}${ABC[N+12:N+16]} = _mm256_min_epi16(_mm256_max_epi16(vout${ABC[N:N+4]}${ABC[N+8:N+12]}${ABC[N+4:N+8]}${ABC[N+12:N+16]}, voutput_min), voutput_max);
+ $elif BATCH_TILE > 8:
+ vout${ABC[N:N+8]} = _mm_min_epi16(_mm_max_epi16(vout${ABC[N:N+8]}, _mm256_castsi256_si128(voutput_min)), _mm256_castsi256_si128(voutput_max));
+ $else:
+ vout${ABC[N:N+8]} = _mm_min_epi16(_mm_max_epi16(vout${ABC[N:N+8]}, voutput_min), voutput_max);
+
+ $for N in range(0, BATCH_TILE, 16):
+ $if N + 8 < BATCH_TILE:
+ __m128i vout${ABC[N:N+16]} = _mm_shuffle_epi32(_mm_packs_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));
+ $else:
+ __m128i vout${ABC[N:N+8]}${ABC[N:N+8]} = _mm_packs_epi16(vout${ABC[N:N+8]}, vout${ABC[N:N+8]});
+
+ $if BATCH_TILE >= 16:
+ _mm_storeu_si128((__m128i*) output, vout${ABC[0:16]});
+ $else:
+ _mm_storel_epi64((__m128i*) output, vout${ABC[0:8]}${ABC[0:8]});
+ $for N in range(16, BATCH_TILE, 16):
+ $if N + 8 < BATCH_TILE:
+ _mm_storeu_si128((__m128i*) (output + ${N}), vout${ABC[N:N+16]});
+ $else:
+ _mm_storel_epi64((__m128i*) (output + ${N}), vout${ABC[N:N+8]}${ABC[N:N+8]});
+ output += ${BATCH_TILE};
+ }
+ if XNN_UNLIKELY(n != 0) {
+ ${"do " if BATCH_TILE > 8 else ""}{
+ const __m256i vx${ABC[0:8]} = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) input_x));
+ $if BATCH_TILE > 8:
+ input_x += 8;
+
+ __m256i vacc${ABC[0:8]} = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vx${ABC[0:8]}, vx_multiplier));
+
+ const __m256i vrem${ABC[0:8]} = _mm256_add_epi32(_mm256_and_si256(vacc${ABC[0:8]}, vremainder_mask), _mm256_srai_epi32(vacc${ABC[0:8]}, 31));
+
+ vacc${ABC[0:8]} = _mm256_sub_epi32(_mm256_sra_epi32(vacc${ABC[0:8]}, vshift), _mm256_cmpgt_epi32(vrem${ABC[0:8]}, vremainder_threshold));
+
+ $if BATCH_TILE > 8:
+ __m128i vout${ABC[0:8]} = _mm_adds_epi16(_mm_packs_epi32(_mm256_castsi256_si128(vacc${ABC[0:8]}), _mm256_extracti128_si256(vacc${ABC[0:8]}, 1)), _mm256_castsi256_si128(voutput_zero_point));
+ vout${ABC[0:8]} = _mm_min_epi16(_mm_max_epi16(vout${ABC[0:8]}, _mm256_castsi256_si128(voutput_min)), _mm256_castsi256_si128(voutput_max));
+ $else:
+ __m128i vout${ABC[0:8]} = _mm_adds_epi16(_mm_packs_epi32(_mm256_castsi256_si128(vacc${ABC[0:8]}), _mm256_extracti128_si256(vacc${ABC[0:8]}, 1)), voutput_zero_point);
+ vout${ABC[0:8]} = _mm_min_epi16(_mm_max_epi16(vout${ABC[0:8]}, voutput_min), voutput_max);
+ __m128i vout${ABC[0:8]}${ABC[0:8]} = _mm_packs_epi16(vout${ABC[0:8]}, vout${ABC[0:8]});
+
+ $if BATCH_TILE > 8:
+ if XNN_LIKELY(n >= (8 * sizeof(int8_t))) {
+ _mm_storel_epi64((__m128i*) output, vout${ABC[0:8]}${ABC[0:8]});
+ output += 8;
+ n -= 8 * sizeof(int8_t);
+ } else {
+ if (n & (4 * sizeof(int8_t))) {
+ *((uint32_t*) output) = (uint32_t) _mm_cvtsi128_si32(vout${ABC[0:8]}${ABC[0:8]});
+ vout${ABC[0:8]}${ABC[0:8]} = _mm_srli_epi64(vout${ABC[0:8]}${ABC[0:8]}, 32);
+ output += 4;
+ }
+ if (n & (2 * sizeof(int8_t))) {
+ *((uint16_t*) output) = (uint16_t) _mm_extract_epi16(vout${ABC[0:8]}${ABC[0:8]}, 0);
+ vout${ABC[0:8]}${ABC[0:8]} = _mm_srli_epi32(vout${ABC[0:8]}${ABC[0:8]}, 16);
+ output += 2;
+ }
+ if (n & (1 * sizeof(int8_t))) {
+ *output = (int8_t) _mm_extract_epi8(vout${ABC[0:8]}${ABC[0:8]}, 0);
+ }
+ n = 0;
+ }
+ $else:
+ if (n & (4 * sizeof(int8_t))) {
+ *((uint32_t*) output) = (uint32_t) _mm_cvtsi128_si32(vout${ABC[0:8]}${ABC[0:8]});
+ vout${ABC[0:8]}${ABC[0:8]} = _mm_srli_epi64(vout${ABC[0:8]}${ABC[0:8]}, 32);
+ output += 4;
+ }
+ if (n & (2 * sizeof(int8_t))) {
+ *((uint16_t*) output) = (uint16_t) _mm_extract_epi16(vout${ABC[0:8]}${ABC[0:8]}, 0);
+ vout${ABC[0:8]}${ABC[0:8]} = _mm_srli_epi32(vout${ABC[0:8]}${ABC[0:8]}, 16);
+ output += 2;
+ }
+ if (n & (1 * sizeof(int8_t))) {
+ *output = (int8_t) _mm_extract_epi8(vout${ABC[0:8]}${ABC[0:8]}, 0);
+ }
+ }${" while (n != 0);" if BATCH_TILE > 8 else ""}
+ }
+}
diff --git a/src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x16.c b/src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x16.c
new file mode 100644
index 000000000..94cf51a03
--- /dev/null
+++ b/src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x16.c
@@ -0,0 +1,96 @@
+// Auto-generated file. Do not edit!
+// Template: src/qs8-vaddc/avx2-mul32-ld64.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/intrinsics-polyfill.h>
+#include <xnnpack/vadd.h>
+
+
+void xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x16(
+ size_t n,
+ const int8_t* input_x,
+ const int8_t* input_y,
+ int8_t* output,
+ const union xnn_qs8_add_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN
+{
+ const __m256i vx_multiplier = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.x_multiplier));
+ const __m256i vremainder_mask = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.remainder_mask));
+ const __m256i vremainder_threshold = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.remainder_threshold));
+ const __m128i vshift = _mm_cvtsi32_si128((int) params->sse2.shift);
+ const __m256i voutput_zero_point = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.output_zero_point));
+ const __m256i voutput_min = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.output_min));
+ const __m256i voutput_max = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.output_max));
+
+ __m256i vzero_point_product = _mm256_broadcastsi128_si256(_mm_add_epi32(
+ _mm_broadcastd_epi32(_mm_cvtsi32_si128(params->sse2.y_multiplier[0] * (int32_t) *input_y)),
+ _mm_load_si128((const __m128i*) params->sse2.zero_point_product)));
+ for (; n >= 16 * sizeof(int8_t); n -= 16 * sizeof(int8_t)) {
+ const __m256i vx01234567 = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) input_x));
+ const __m256i vx89ABCDEF = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) (input_x + 8)));
+ input_x += 16;
+
+ __m256i vacc01234567 = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vx01234567, vx_multiplier));
+ __m256i vacc89ABCDEF = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vx89ABCDEF, vx_multiplier));
+
+ const __m256i vrem01234567 = _mm256_add_epi32(_mm256_and_si256(vacc01234567, vremainder_mask), _mm256_srai_epi32(vacc01234567, 31));
+ const __m256i vrem89ABCDEF = _mm256_add_epi32(_mm256_and_si256(vacc89ABCDEF, vremainder_mask), _mm256_srai_epi32(vacc89ABCDEF, 31));
+
+ vacc01234567 = _mm256_sub_epi32(_mm256_sra_epi32(vacc01234567, vshift), _mm256_cmpgt_epi32(vrem01234567, vremainder_threshold));
+ vacc89ABCDEF = _mm256_sub_epi32(_mm256_sra_epi32(vacc89ABCDEF, vshift), _mm256_cmpgt_epi32(vrem89ABCDEF, vremainder_threshold));
+
+ __m256i vout012389AB4567CDEF = _mm256_adds_epi16(_mm256_packs_epi32(vacc01234567, vacc89ABCDEF), voutput_zero_point);
+
+ vout012389AB4567CDEF = _mm256_min_epi16(_mm256_max_epi16(vout012389AB4567CDEF, voutput_min), voutput_max);
+
+ __m128i vout0123456789ABCDEF = _mm_shuffle_epi32(_mm_packs_epi16(_mm256_castsi256_si128(vout012389AB4567CDEF), _mm256_extracti128_si256(vout012389AB4567CDEF, 1)), _MM_SHUFFLE(3, 1, 2, 0));
+
+ _mm_storeu_si128((__m128i*) output, vout0123456789ABCDEF);
+ output += 16;
+ }
+ if XNN_UNLIKELY(n != 0) {
+ do {
+ const __m256i vx01234567 = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) input_x));
+ input_x += 8;
+
+ __m256i vacc01234567 = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vx01234567, vx_multiplier));
+
+ const __m256i vrem01234567 = _mm256_add_epi32(_mm256_and_si256(vacc01234567, vremainder_mask), _mm256_srai_epi32(vacc01234567, 31));
+
+ vacc01234567 = _mm256_sub_epi32(_mm256_sra_epi32(vacc01234567, vshift), _mm256_cmpgt_epi32(vrem01234567, vremainder_threshold));
+
+ __m128i vout01234567 = _mm_adds_epi16(_mm_packs_epi32(_mm256_castsi256_si128(vacc01234567), _mm256_extracti128_si256(vacc01234567, 1)), _mm256_castsi256_si128(voutput_zero_point));
+ vout01234567 = _mm_min_epi16(_mm_max_epi16(vout01234567, _mm256_castsi256_si128(voutput_min)), _mm256_castsi256_si128(voutput_max));
+ __m128i vout0123456701234567 = _mm_packs_epi16(vout01234567, vout01234567);
+
+ if XNN_LIKELY(n >= (8 * sizeof(int8_t))) {
+ _mm_storel_epi64((__m128i*) output, vout0123456701234567);
+ output += 8;
+ n -= 8 * sizeof(int8_t);
+ } else {
+ if (n & (4 * sizeof(int8_t))) {
+ *((uint32_t*) output) = (uint32_t) _mm_cvtsi128_si32(vout0123456701234567);
+ vout0123456701234567 = _mm_srli_epi64(vout0123456701234567, 32);
+ output += 4;
+ }
+ if (n & (2 * sizeof(int8_t))) {
+ *((uint16_t*) output) = (uint16_t) _mm_extract_epi16(vout0123456701234567, 0);
+ vout0123456701234567 = _mm_srli_epi32(vout0123456701234567, 16);
+ output += 2;
+ }
+ if (n & (1 * sizeof(int8_t))) {
+ *output = (int8_t) _mm_extract_epi8(vout0123456701234567, 0);
+ }
+ n = 0;
+ }
+ } while (n != 0);
+ }
+}
diff --git a/src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x24.c b/src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x24.c
new file mode 100644
index 000000000..729963e8e
--- /dev/null
+++ b/src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x24.c
@@ -0,0 +1,104 @@
+// Auto-generated file. Do not edit!
+// Template: src/qs8-vaddc/avx2-mul32-ld64.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/intrinsics-polyfill.h>
+#include <xnnpack/vadd.h>
+
+
+void xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x24(
+ size_t n,
+ const int8_t* input_x,
+ const int8_t* input_y,
+ int8_t* output,
+ const union xnn_qs8_add_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN
+{
+ const __m256i vx_multiplier = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.x_multiplier));
+ const __m256i vremainder_mask = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.remainder_mask));
+ const __m256i vremainder_threshold = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.remainder_threshold));
+ const __m128i vshift = _mm_cvtsi32_si128((int) params->sse2.shift);
+ const __m256i voutput_zero_point = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.output_zero_point));
+ const __m256i voutput_min = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.output_min));
+ const __m256i voutput_max = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.output_max));
+
+ __m256i vzero_point_product = _mm256_broadcastsi128_si256(_mm_add_epi32(
+ _mm_broadcastd_epi32(_mm_cvtsi32_si128(params->sse2.y_multiplier[0] * (int32_t) *input_y)),
+ _mm_load_si128((const __m128i*) params->sse2.zero_point_product)));
+ for (; n >= 24 * sizeof(int8_t); n -= 24 * sizeof(int8_t)) {
+ const __m256i vx01234567 = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) input_x));
+ const __m256i vx89ABCDEF = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) (input_x + 8)));
+ const __m256i vxGHIJKLMN = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) (input_x + 16)));
+ input_x += 24;
+
+ __m256i vacc01234567 = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vx01234567, vx_multiplier));
+ __m256i vacc89ABCDEF = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vx89ABCDEF, vx_multiplier));
+ __m256i vaccGHIJKLMN = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vxGHIJKLMN, vx_multiplier));
+
+ const __m256i vrem01234567 = _mm256_add_epi32(_mm256_and_si256(vacc01234567, vremainder_mask), _mm256_srai_epi32(vacc01234567, 31));
+ const __m256i vrem89ABCDEF = _mm256_add_epi32(_mm256_and_si256(vacc89ABCDEF, vremainder_mask), _mm256_srai_epi32(vacc89ABCDEF, 31));
+ const __m256i vremGHIJKLMN = _mm256_add_epi32(_mm256_and_si256(vaccGHIJKLMN, vremainder_mask), _mm256_srai_epi32(vaccGHIJKLMN, 31));
+
+ vacc01234567 = _mm256_sub_epi32(_mm256_sra_epi32(vacc01234567, vshift), _mm256_cmpgt_epi32(vrem01234567, vremainder_threshold));
+ vacc89ABCDEF = _mm256_sub_epi32(_mm256_sra_epi32(vacc89ABCDEF, vshift), _mm256_cmpgt_epi32(vrem89ABCDEF, vremainder_threshold));
+ vaccGHIJKLMN = _mm256_sub_epi32(_mm256_sra_epi32(vaccGHIJKLMN, vshift), _mm256_cmpgt_epi32(vremGHIJKLMN, vremainder_threshold));
+
+ __m256i vout012389AB4567CDEF = _mm256_adds_epi16(_mm256_packs_epi32(vacc01234567, vacc89ABCDEF), voutput_zero_point);
+ __m128i voutGHIJKLMN = _mm_adds_epi16(_mm_packs_epi32(_mm256_castsi256_si128(vaccGHIJKLMN), _mm256_extracti128_si256(vaccGHIJKLMN, 1)), _mm256_castsi256_si128(voutput_zero_point));
+
+ vout012389AB4567CDEF = _mm256_min_epi16(_mm256_max_epi16(vout012389AB4567CDEF, voutput_min), voutput_max);
+ voutGHIJKLMN = _mm_min_epi16(_mm_max_epi16(voutGHIJKLMN, _mm256_castsi256_si128(voutput_min)), _mm256_castsi256_si128(voutput_max));
+
+ __m128i vout0123456789ABCDEF = _mm_shuffle_epi32(_mm_packs_epi16(_mm256_castsi256_si128(vout012389AB4567CDEF), _mm256_extracti128_si256(vout012389AB4567CDEF, 1)), _MM_SHUFFLE(3, 1, 2, 0));
+ __m128i voutGHIJKLMNGHIJKLMN = _mm_packs_epi16(voutGHIJKLMN, voutGHIJKLMN);
+
+ _mm_storeu_si128((__m128i*) output, vout0123456789ABCDEF);
+ _mm_storel_epi64((__m128i*) (output + 16), voutGHIJKLMNGHIJKLMN);
+ output += 24;
+ }
+ if XNN_UNLIKELY(n != 0) {
+ do {
+ const __m256i vx01234567 = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) input_x));
+ input_x += 8;
+
+ __m256i vacc01234567 = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vx01234567, vx_multiplier));
+
+ const __m256i vrem01234567 = _mm256_add_epi32(_mm256_and_si256(vacc01234567, vremainder_mask), _mm256_srai_epi32(vacc01234567, 31));
+
+ vacc01234567 = _mm256_sub_epi32(_mm256_sra_epi32(vacc01234567, vshift), _mm256_cmpgt_epi32(vrem01234567, vremainder_threshold));
+
+ __m128i vout01234567 = _mm_adds_epi16(_mm_packs_epi32(_mm256_castsi256_si128(vacc01234567), _mm256_extracti128_si256(vacc01234567, 1)), _mm256_castsi256_si128(voutput_zero_point));
+ vout01234567 = _mm_min_epi16(_mm_max_epi16(vout01234567, _mm256_castsi256_si128(voutput_min)), _mm256_castsi256_si128(voutput_max));
+ __m128i vout0123456701234567 = _mm_packs_epi16(vout01234567, vout01234567);
+
+ if XNN_LIKELY(n >= (8 * sizeof(int8_t))) {
+ _mm_storel_epi64((__m128i*) output, vout0123456701234567);
+ output += 8;
+ n -= 8 * sizeof(int8_t);
+ } else {
+ if (n & (4 * sizeof(int8_t))) {
+ *((uint32_t*) output) = (uint32_t) _mm_cvtsi128_si32(vout0123456701234567);
+ vout0123456701234567 = _mm_srli_epi64(vout0123456701234567, 32);
+ output += 4;
+ }
+ if (n & (2 * sizeof(int8_t))) {
+ *((uint16_t*) output) = (uint16_t) _mm_extract_epi16(vout0123456701234567, 0);
+ vout0123456701234567 = _mm_srli_epi32(vout0123456701234567, 16);
+ output += 2;
+ }
+ if (n & (1 * sizeof(int8_t))) {
+ *output = (int8_t) _mm_extract_epi8(vout0123456701234567, 0);
+ }
+ n = 0;
+ }
+ } while (n != 0);
+ }
+}
diff --git a/src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x32.c b/src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x32.c
new file mode 100644
index 000000000..b2dab8f1f
--- /dev/null
+++ b/src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x32.c
@@ -0,0 +1,108 @@
+// Auto-generated file. Do not edit!
+// Template: src/qs8-vaddc/avx2-mul32-ld64.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/intrinsics-polyfill.h>
+#include <xnnpack/vadd.h>
+
+
+void xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x32(
+ size_t n,
+ const int8_t* input_x,
+ const int8_t* input_y,
+ int8_t* output,
+ const union xnn_qs8_add_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN
+{
+ const __m256i vx_multiplier = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.x_multiplier));
+ const __m256i vremainder_mask = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.remainder_mask));
+ const __m256i vremainder_threshold = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.remainder_threshold));
+ const __m128i vshift = _mm_cvtsi32_si128((int) params->sse2.shift);
+ const __m256i voutput_zero_point = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.output_zero_point));
+ const __m256i voutput_min = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.output_min));
+ const __m256i voutput_max = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.output_max));
+
+ __m256i vzero_point_product = _mm256_broadcastsi128_si256(_mm_add_epi32(
+ _mm_broadcastd_epi32(_mm_cvtsi32_si128(params->sse2.y_multiplier[0] * (int32_t) *input_y)),
+ _mm_load_si128((const __m128i*) params->sse2.zero_point_product)));
+ for (; n >= 32 * sizeof(int8_t); n -= 32 * sizeof(int8_t)) {
+ const __m256i vx01234567 = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) input_x));
+ const __m256i vx89ABCDEF = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) (input_x + 8)));
+ const __m256i vxGHIJKLMN = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) (input_x + 16)));
+ const __m256i vxOPQRSTUV = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) (input_x + 24)));
+ input_x += 32;
+
+ __m256i vacc01234567 = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vx01234567, vx_multiplier));
+ __m256i vacc89ABCDEF = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vx89ABCDEF, vx_multiplier));
+ __m256i vaccGHIJKLMN = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vxGHIJKLMN, vx_multiplier));
+ __m256i vaccOPQRSTUV = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vxOPQRSTUV, vx_multiplier));
+
+ const __m256i vrem01234567 = _mm256_add_epi32(_mm256_and_si256(vacc01234567, vremainder_mask), _mm256_srai_epi32(vacc01234567, 31));
+ const __m256i vrem89ABCDEF = _mm256_add_epi32(_mm256_and_si256(vacc89ABCDEF, vremainder_mask), _mm256_srai_epi32(vacc89ABCDEF, 31));
+ const __m256i vremGHIJKLMN = _mm256_add_epi32(_mm256_and_si256(vaccGHIJKLMN, vremainder_mask), _mm256_srai_epi32(vaccGHIJKLMN, 31));
+ const __m256i vremOPQRSTUV = _mm256_add_epi32(_mm256_and_si256(vaccOPQRSTUV, vremainder_mask), _mm256_srai_epi32(vaccOPQRSTUV, 31));
+
+ vacc01234567 = _mm256_sub_epi32(_mm256_sra_epi32(vacc01234567, vshift), _mm256_cmpgt_epi32(vrem01234567, vremainder_threshold));
+ vacc89ABCDEF = _mm256_sub_epi32(_mm256_sra_epi32(vacc89ABCDEF, vshift), _mm256_cmpgt_epi32(vrem89ABCDEF, vremainder_threshold));
+ vaccGHIJKLMN = _mm256_sub_epi32(_mm256_sra_epi32(vaccGHIJKLMN, vshift), _mm256_cmpgt_epi32(vremGHIJKLMN, vremainder_threshold));
+ vaccOPQRSTUV = _mm256_sub_epi32(_mm256_sra_epi32(vaccOPQRSTUV, vshift), _mm256_cmpgt_epi32(vremOPQRSTUV, vremainder_threshold));
+
+ __m256i vout012389AB4567CDEF = _mm256_adds_epi16(_mm256_packs_epi32(vacc01234567, vacc89ABCDEF), voutput_zero_point);
+ __m256i voutGHIJOPQRKLMNSTUV = _mm256_adds_epi16(_mm256_packs_epi32(vaccGHIJKLMN, vaccOPQRSTUV), voutput_zero_point);
+
+ vout012389AB4567CDEF = _mm256_min_epi16(_mm256_max_epi16(vout012389AB4567CDEF, voutput_min), voutput_max);
+ voutGHIJOPQRKLMNSTUV = _mm256_min_epi16(_mm256_max_epi16(voutGHIJOPQRKLMNSTUV, voutput_min), voutput_max);
+
+ __m128i vout0123456789ABCDEF = _mm_shuffle_epi32(_mm_packs_epi16(_mm256_castsi256_si128(vout012389AB4567CDEF), _mm256_extracti128_si256(vout012389AB4567CDEF, 1)), _MM_SHUFFLE(3, 1, 2, 0));
+ __m128i voutGHIJKLMNOPQRSTUV = _mm_shuffle_epi32(_mm_packs_epi16(_mm256_castsi256_si128(voutGHIJOPQRKLMNSTUV), _mm256_extracti128_si256(voutGHIJOPQRKLMNSTUV, 1)), _MM_SHUFFLE(3, 1, 2, 0));
+
+ _mm_storeu_si128((__m128i*) output, vout0123456789ABCDEF);
+ _mm_storeu_si128((__m128i*) (output + 16), voutGHIJKLMNOPQRSTUV);
+ output += 32;
+ }
+ if XNN_UNLIKELY(n != 0) {
+ do {
+ const __m256i vx01234567 = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) input_x));
+ input_x += 8;
+
+ __m256i vacc01234567 = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vx01234567, vx_multiplier));
+
+ const __m256i vrem01234567 = _mm256_add_epi32(_mm256_and_si256(vacc01234567, vremainder_mask), _mm256_srai_epi32(vacc01234567, 31));
+
+ vacc01234567 = _mm256_sub_epi32(_mm256_sra_epi32(vacc01234567, vshift), _mm256_cmpgt_epi32(vrem01234567, vremainder_threshold));
+
+ __m128i vout01234567 = _mm_adds_epi16(_mm_packs_epi32(_mm256_castsi256_si128(vacc01234567), _mm256_extracti128_si256(vacc01234567, 1)), _mm256_castsi256_si128(voutput_zero_point));
+ vout01234567 = _mm_min_epi16(_mm_max_epi16(vout01234567, _mm256_castsi256_si128(voutput_min)), _mm256_castsi256_si128(voutput_max));
+ __m128i vout0123456701234567 = _mm_packs_epi16(vout01234567, vout01234567);
+
+ if XNN_LIKELY(n >= (8 * sizeof(int8_t))) {
+ _mm_storel_epi64((__m128i*) output, vout0123456701234567);
+ output += 8;
+ n -= 8 * sizeof(int8_t);
+ } else {
+ if (n & (4 * sizeof(int8_t))) {
+ *((uint32_t*) output) = (uint32_t) _mm_cvtsi128_si32(vout0123456701234567);
+ vout0123456701234567 = _mm_srli_epi64(vout0123456701234567, 32);
+ output += 4;
+ }
+ if (n & (2 * sizeof(int8_t))) {
+ *((uint16_t*) output) = (uint16_t) _mm_extract_epi16(vout0123456701234567, 0);
+ vout0123456701234567 = _mm_srli_epi32(vout0123456701234567, 16);
+ output += 2;
+ }
+ if (n & (1 * sizeof(int8_t))) {
+ *output = (int8_t) _mm_extract_epi8(vout0123456701234567, 0);
+ }
+ n = 0;
+ }
+ } while (n != 0);
+ }
+}
diff --git a/src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x8.c b/src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x8.c
new file mode 100644
index 000000000..127c635c1
--- /dev/null
+++ b/src/qs8-vaddc/gen/minmax-avx2-mul32-ld64-x8.c
@@ -0,0 +1,84 @@
+// Auto-generated file. Do not edit!
+// Template: src/qs8-vaddc/avx2-mul32-ld64.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/intrinsics-polyfill.h>
+#include <xnnpack/vadd.h>
+
+
+void xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x8(
+ size_t n,
+ const int8_t* input_x,
+ const int8_t* input_y,
+ int8_t* output,
+ const union xnn_qs8_add_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN
+{
+ const __m256i vx_multiplier = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.x_multiplier));
+ const __m256i vremainder_mask = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.remainder_mask));
+ const __m256i vremainder_threshold = _mm256_broadcastsi128_si256(_mm_load_si128((const __m128i*) params->sse2.remainder_threshold));
+ const __m128i vshift = _mm_cvtsi32_si128((int) params->sse2.shift);
+ const __m128i voutput_zero_point = _mm_load_si128((const __m128i*) params->sse2.output_zero_point);
+ const __m128i voutput_min = _mm_load_si128((const __m128i*) params->sse2.output_min);
+ const __m128i voutput_max = _mm_load_si128((const __m128i*) params->sse2.output_max);
+
+ __m256i vzero_point_product = _mm256_broadcastsi128_si256(_mm_add_epi32(
+ _mm_broadcastd_epi32(_mm_cvtsi32_si128(params->sse2.y_multiplier[0] * (int32_t) *input_y)),
+ _mm_load_si128((const __m128i*) params->sse2.zero_point_product)));
+ for (; n >= 8 * sizeof(int8_t); n -= 8 * sizeof(int8_t)) {
+ const __m256i vx01234567 = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) input_x));
+ input_x += 8;
+
+ __m256i vacc01234567 = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vx01234567, vx_multiplier));
+
+ const __m256i vrem01234567 = _mm256_add_epi32(_mm256_and_si256(vacc01234567, vremainder_mask), _mm256_srai_epi32(vacc01234567, 31));
+
+ vacc01234567 = _mm256_sub_epi32(_mm256_sra_epi32(vacc01234567, vshift), _mm256_cmpgt_epi32(vrem01234567, vremainder_threshold));
+
+ __m128i vout01234567 = _mm_adds_epi16(_mm_packs_epi32(_mm256_castsi256_si128(vacc01234567), _mm256_extracti128_si256(vacc01234567, 1)), voutput_zero_point);
+
+ vout01234567 = _mm_min_epi16(_mm_max_epi16(vout01234567, voutput_min), voutput_max);
+
+ __m128i vout0123456701234567 = _mm_packs_epi16(vout01234567, vout01234567);
+
+ _mm_storel_epi64((__m128i*) output, vout0123456701234567);
+ output += 8;
+ }
+ if XNN_UNLIKELY(n != 0) {
+ {
+ const __m256i vx01234567 = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i*) input_x));
+
+ __m256i vacc01234567 = _mm256_add_epi32(vzero_point_product, _mm256_mullo_epi32(vx01234567, vx_multiplier));
+
+ const __m256i vrem01234567 = _mm256_add_epi32(_mm256_and_si256(vacc01234567, vremainder_mask), _mm256_srai_epi32(vacc01234567, 31));
+
+ vacc01234567 = _mm256_sub_epi32(_mm256_sra_epi32(vacc01234567, vshift), _mm256_cmpgt_epi32(vrem01234567, vremainder_threshold));
+
+ __m128i vout01234567 = _mm_adds_epi16(_mm_packs_epi32(_mm256_castsi256_si128(vacc01234567), _mm256_extracti128_si256(vacc01234567, 1)), voutput_zero_point);
+ vout01234567 = _mm_min_epi16(_mm_max_epi16(vout01234567, voutput_min), voutput_max);
+ __m128i vout0123456701234567 = _mm_packs_epi16(vout01234567, vout01234567);
+
+ if (n & (4 * sizeof(int8_t))) {
+ *((uint32_t*) output) = (uint32_t) _mm_cvtsi128_si32(vout0123456701234567);
+ vout0123456701234567 = _mm_srli_epi64(vout0123456701234567, 32);
+ output += 4;
+ }
+ if (n & (2 * sizeof(int8_t))) {
+ *((uint16_t*) output) = (uint16_t) _mm_extract_epi16(vout0123456701234567, 0);
+ vout0123456701234567 = _mm_srli_epi32(vout0123456701234567, 16);
+ output += 2;
+ }
+ if (n & (1 * sizeof(int8_t))) {
+ *output = (int8_t) _mm_extract_epi8(vout0123456701234567, 0);
+ }
+ }
+ }
+}