1// Copyright 2019 Google LLC 2// 3// This source code is licensed under the BSD-style license found in the 4// LICENSE file in the root directory of this source tree. 5 6$assert BATCH_TILE % 4 == 0 7$assert BATCH_TILE >= 4 8$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" 9#include <assert.h> 10 11#include <emmintrin.h> 12 13#include <xnnpack/common.h> 14#include <xnnpack/hswish.h> 15 16 17void xnn_f32_hswish_ukernel__sse_x${BATCH_TILE}( 18 size_t n, 19 const float* x, 20 float* y, 21 const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN 22{ 23 assert(n != 0); 24 assert(n % sizeof(float) == 0); 25 26 const __m128 vsixth = _mm_load_ps(params->sse.sixth); 27 const __m128 vhalf = _mm_load_ps(params->sse.half); 28 const __m128 vone = _mm_load_ps(params->sse.one); 29 const __m128 vzero = _mm_setzero_ps(); 30 31 for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) { 32 const __m128 vx${ABC[0:4]} = _mm_loadu_ps(x); 33 $for N in range(4, BATCH_TILE, 4): 34 const __m128 vx${ABC[N:N+4]} = _mm_loadu_ps(x + ${N}); 35 x += ${BATCH_TILE}; 36 37 $for N in range(0, BATCH_TILE, 4): 38 __m128 vacc${ABC[N:N+4]} = _mm_mul_ps(vx${ABC[N:N+4]}, vsixth); 39 40 $for N in range(0, BATCH_TILE, 4): 41 vacc${ABC[N:N+4]} = _mm_add_ps(vacc${ABC[N:N+4]}, vhalf); 42 43 $for N in range(0, BATCH_TILE, 4): 44 vacc${ABC[N:N+4]} = _mm_max_ps(vacc${ABC[N:N+4]}, vzero); 45 46 $for N in range(0, BATCH_TILE, 4): 47 vacc${ABC[N:N+4]} = _mm_min_ps(vacc${ABC[N:N+4]}, vone); 48 49 $for N in range(0, BATCH_TILE, 4): 50 vacc${ABC[N:N+4]} = _mm_mul_ps(vacc${ABC[N:N+4]}, vx${ABC[N:N+4]}); 51 52 _mm_storeu_ps(y, vacc${ABC[0:4]}); 53 $for N in range(4, BATCH_TILE, 4): 54 _mm_storeu_ps(y + ${N}, vacc${ABC[N:N+4]}); 55 y += ${BATCH_TILE}; 56 } 57 $if BATCH_TILE > 4: 58 for (; n >= 4 * sizeof(float); n -= 4 * sizeof(float)) { 59 const __m128 vx0123 = _mm_loadu_ps(x); 60 x += 4; 61 __m128 vacc0123 = _mm_mul_ps(vx0123, vsixth); 62 vacc0123 = _mm_add_ps(vacc0123, vhalf); 63 vacc0123 = _mm_max_ps(vacc0123, vzero); 64 vacc0123 = _mm_min_ps(vacc0123, vone); 65 vacc0123 = _mm_mul_ps(vacc0123, vx0123); 66 _mm_storeu_ps(y, vacc0123); 67 y += 4; 68 } 69 if XNN_UNLIKELY(n != 0) { 70 const __m128 vx0123 = _mm_loadu_ps(x); 71 __m128 vacc0123 = _mm_mul_ps(vx0123, vsixth); 72 vacc0123 = _mm_add_ps(vacc0123, vhalf); 73 vacc0123 = _mm_max_ps(vacc0123, vzero); 74 vacc0123 = _mm_min_ps(vacc0123, vone); 75 vacc0123 = _mm_mul_ps(vacc0123, vx0123); 76 77 if (n & (2 * sizeof(float))) { 78 _mm_storel_pi((__m64*) y, vacc0123); 79 vacc0123 = _mm_movehl_ps(vacc0123, vacc0123); 80 y += 2; 81 } 82 if (n & (1 * sizeof(float))) { 83 _mm_store_ss(y, vacc0123); 84 } 85 } 86} 87