1// Copyright 2020 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$assert BATCH_TILE % 8 == 0 7$assert BATCH_TILE >= 8 8$SIMD_TILE = BATCH_TILE // 8 9#include <assert.h> 10 11#include <immintrin.h> 12 13#include <xnnpack/common.h> 14#include <xnnpack/vunary.h> 15 16 17static const int32_t mask_table[14] = {-1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0}; 18 19void xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x${BATCH_TILE}( 20 size_t n, 21 const float* x, 22 float* y, 23 const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) 24{ 25 assert(n % sizeof(float) == 0); 26 27 const __m256 vprescale = _mm256_broadcast_ps((const __m128*) params->sse.prescale); 28 const __m256 valpha = _mm256_broadcast_ps((const __m128*) params->sse.alpha); 29 const __m256 vbeta = _mm256_broadcast_ps((const __m128*) params->sse.beta); 30 31 const __m256 vsat_cutoff = _mm256_set1_ps(-0x1.154246p+4f); 32 const __m256 vmagic_bias = _mm256_set1_ps(0x1.8003F8p21f); 33 const __m256 vlog2e = _mm256_set1_ps(0x1.715476p+0f); 34 const __m256 vindex_mask = _mm256_castsi256_ps(_mm256_set1_epi32(0x3)); 35 const __m256 vtable = _mm256_set_ps( 36 0x1.AE89FAp+0f, 0x1.6A09E6p+0f, 0x1.306FE0p+0f, 0x1.000000p+0f, 37 0x1.AE89FAp+0f, 0x1.6A09E6p+0f, 0x1.306FE0p+0f, 0x1.000000p+0f); 38 const __m256 vminus_ln2_hi = _mm256_set1_ps(-0x1.62E400p-1f); 39 const __m256 vminus_ln2_lo = _mm256_set1_ps(-0x1.7F7D1Cp-20f); 40 const __m256 vc4 = _mm256_set1_ps(0x1.554F9Ap-5f); 41 const __m256 vc3 = _mm256_set1_ps(0x1.557082p-3f); 42 const __m256 vc2 = _mm256_set1_ps(0x1.000002p-1f); 43 const __m256 vone = _mm256_set1_ps(1.0f); 44 45 $if BATCH_TILE > 8: 46 for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) { 47 __m256 vx0 = _mm256_loadu_ps(x); 48 $for N in range(1, SIMD_TILE): 49 __m256 vx${N} = _mm256_loadu_ps(x + ${N * 8}); 50 x += ${BATCH_TILE}; 51 52 $for N in range(SIMD_TILE): 53 const __m256 vz${N} = _mm256_max_ps(vsat_cutoff, _mm256_mul_ps(vx${N}, vprescale)); 54 55 $for N in range(SIMD_TILE): 56 __m256 vn${N} = _mm256_add_ps(_mm256_mul_ps(vz${N}, vlog2e), vmagic_bias); 57 58 $for N in range(SIMD_TILE): 59 __m256 ven${N} = _mm256_andnot_ps(vindex_mask, vn${N}); 60 const __m256 vl${N} = _mm256_permutevar_ps(vtable, _mm256_castps_si256(vn${N})); 61 const __m128 ven${N}_lo = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(_mm256_castps256_ps128(ven${N})), 21)); 62 63 $for N in range(SIMD_TILE): 64 vn${N} = _mm256_sub_ps(vn${N}, vmagic_bias); 65 const __m128 ven${N}_hi = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(_mm256_extractf128_ps(ven${N}, 1)), 21)); 66 67 $for N in range(SIMD_TILE): 68 __m256 vt${N} = _mm256_add_ps(_mm256_mul_ps(vn${N}, vminus_ln2_hi), vz${N}); 69 ven${N} = _mm256_insertf128_ps(_mm256_castps128_ps256(ven${N}_lo), ven${N}_hi, 1); 70 71 $for N in range(SIMD_TILE): 72 vt${N} = _mm256_add_ps(_mm256_mul_ps(vn${N}, vminus_ln2_lo), vt${N}); 73 __m256 vs${N} = _mm256_mul_ps(vl${N}, ven${N}); 74 75 $for N in range(SIMD_TILE): 76 __m256 vp${N} = _mm256_add_ps(_mm256_mul_ps(vc4, vt${N}), vc3); 77 78 $for N in range(SIMD_TILE): 79 vp${N} = _mm256_add_ps(_mm256_mul_ps(vp${N}, vt${N}), vc2); 80 81 $for N in range(SIMD_TILE): 82 vp${N} = _mm256_mul_ps(vp${N}, vt${N}); 83 84 $for N in range(SIMD_TILE): 85 vt${N} = _mm256_mul_ps(vt${N}, vs${N}); 86 vs${N} = _mm256_sub_ps(vs${N}, vone); 87 88 $for N in range(SIMD_TILE): 89 vp${N} = _mm256_add_ps(_mm256_mul_ps(vp${N}, vt${N}), vt${N}); 90 91 $for N in range(SIMD_TILE): 92 const __m256 ve${N} = _mm256_mul_ps(_mm256_add_ps(vp${N}, vs${N}), valpha); 93 vx${N} = _mm256_mul_ps(vx${N}, vbeta); 94 95 $for N in range(SIMD_TILE): 96 const __m256 vy${N} = _mm256_blendv_ps(vx${N}, ve${N}, vx${N}); 97 98 _mm256_storeu_ps(y, vy0); 99 $for N in range(1, SIMD_TILE): 100 _mm256_storeu_ps(y + ${N * 8}, vy${N}); 101 y += ${BATCH_TILE}; 102 } 103 for (; n >= 8 * sizeof(float); n -= 8 * sizeof(float)) { 104 __m256 vx = _mm256_loadu_ps(x); 105 x += 8; 106 107 const __m256 vz = _mm256_max_ps(vsat_cutoff, _mm256_mul_ps(vx, vprescale)); 108 109 __m256 vn = _mm256_add_ps(_mm256_mul_ps(vz, vlog2e), vmagic_bias); 110 __m256 ven = _mm256_andnot_ps(vindex_mask, vn); 111 const __m256 vl = _mm256_permutevar_ps(vtable, _mm256_castps_si256(vn)); 112 const __m128 ven_lo = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(_mm256_castps256_ps128(ven)), 21)); 113 vn = _mm256_sub_ps(vn, vmagic_bias); 114 const __m128 ven_hi = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(_mm256_extractf128_ps(ven, 1)), 21)); 115 116 __m256 vt = _mm256_add_ps(_mm256_mul_ps(vn, vminus_ln2_hi), vz); 117 ven = _mm256_insertf128_ps(_mm256_castps128_ps256(ven_lo), ven_hi, 1); 118 vt = _mm256_add_ps(_mm256_mul_ps(vn, vminus_ln2_lo), vt); 119 __m256 vs = _mm256_mul_ps(vl, ven); 120 121 __m256 vp = _mm256_add_ps(_mm256_mul_ps(vc4, vt), vc3); 122 vp = _mm256_add_ps(_mm256_mul_ps(vp, vt), vc2); 123 vp = _mm256_mul_ps(vp, vt); 124 125 vt = _mm256_mul_ps(vt, vs); 126 vs = _mm256_sub_ps(vs, vone); 127 vp = _mm256_add_ps(_mm256_mul_ps(vp, vt), vt); 128 129 const __m256 ve = _mm256_mul_ps(_mm256_add_ps(vp, vs), valpha); 130 vx = _mm256_mul_ps(vx, vbeta); 131 const __m256 vy = _mm256_blendv_ps(vx, ve, vx); 132 133 _mm256_storeu_ps(y, vy); 134 y += 8; 135 } 136 if XNN_UNLIKELY(n != 0) { 137 assert(n >= 1 * sizeof(float)); 138 assert(n <= 7 * sizeof(float)); 139 __m256i vmask = _mm256_loadu_si256((const __m256i*) ((uintptr_t) &mask_table[7] - n)); 140 141 __m256 vx = _mm256_maskload_ps(x, vmask); 142 143 const __m256 vz = _mm256_max_ps(vsat_cutoff, _mm256_mul_ps(vx, vprescale)); 144 145 __m256 vn = _mm256_add_ps(_mm256_mul_ps(vz, vlog2e), vmagic_bias); 146 __m256 ven = _mm256_andnot_ps(vindex_mask, vn); 147 const __m256 vl = _mm256_permutevar_ps(vtable, _mm256_castps_si256(vn)); 148 const __m128 ven_lo = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(_mm256_castps256_ps128(ven)), 21)); 149 vn = _mm256_sub_ps(vn, vmagic_bias); 150 const __m128 ven_hi = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(_mm256_extractf128_ps(ven, 1)), 21)); 151 152 __m256 vt = _mm256_add_ps(_mm256_mul_ps(vn, vminus_ln2_hi), vz); 153 ven = _mm256_insertf128_ps(_mm256_castps128_ps256(ven_lo), ven_hi, 1); 154 vt = _mm256_add_ps(_mm256_mul_ps(vn, vminus_ln2_lo), vt); 155 __m256 vs = _mm256_mul_ps(vl, ven); 156 157 __m256 vp = _mm256_add_ps(_mm256_mul_ps(vc4, vt), vc3); 158 vp = _mm256_add_ps(_mm256_mul_ps(vp, vt), vc2); 159 vp = _mm256_mul_ps(vp, vt); 160 161 vt = _mm256_mul_ps(vt, vs); 162 vs = _mm256_sub_ps(vs, vone); 163 vp = _mm256_add_ps(_mm256_mul_ps(vp, vt), vt); 164 165 const __m256 ve = _mm256_mul_ps(_mm256_add_ps(vp, vs), valpha); 166 vx = _mm256_mul_ps(vx, vbeta); 167 const __m256 vy = _mm256_blendv_ps(vx, ve, vx); 168 169 // _mm256_maskstore_ps(y, vmask, vf) could be used here, but triggers msan failures (probably an msan bug). 170 __m128 vy_lo = _mm256_castps256_ps128(vy); 171 if (n & (4 * sizeof(float))) { 172 _mm_storeu_ps(y, vy_lo); 173 vy_lo = _mm256_extractf128_ps(vy, 1); 174 y += 4; 175 } 176 if (n & (2 * sizeof(float))) { 177 _mm_storel_pi((__m64*) y, vy_lo); 178 vy_lo = _mm_movehl_ps(vy_lo, vy_lo); 179 y += 2; 180 } 181 if (n & (1 * sizeof(float))) { 182 _mm_store_ss(y, vy_lo); 183 } 184 } 185} 186