Marat Dukhan | ed6baaf | 2020-12-01 15:07:08 -0800 | [diff] [blame] | 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 % 4 == 0 |
| 7 | $assert BATCH_TILE >= 4 |
| 8 | $ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" |
| 9 | $SSE_HEADER = {2: "emmintrin.h", 4: "smmintrin.h"}[SSE] |
| 10 | #include <assert.h> |
| 11 | |
| 12 | #include <${SSE_HEADER}> |
| 13 | |
| 14 | #include <xnnpack/vunary.h> |
| 15 | #include <xnnpack/common.h> |
| 16 | |
| 17 | |
| 18 | $ISA = {2: "sse2", 4: "sse41"}[SSE] |
| 19 | void xnn_f32_velu_ukernel__${ISA}_rr2_p6_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)]) XNN_DISABLE_TSAN |
| 24 | { |
| 25 | assert(n != 0); |
| 26 | assert(n % sizeof(float) == 0); |
| 27 | assert(x != NULL); |
| 28 | assert(y != NULL); |
| 29 | |
| 30 | const __m128 vprescale = _mm_load_ps(params->sse.prescale); |
| 31 | const __m128 valpha = _mm_load_ps(params->sse.alpha); |
| 32 | const __m128 vbeta = _mm_load_ps(params->sse.beta); |
| 33 | |
| 34 | const __m128 vsat_cutoff = _mm_set1_ps(-0x1.154246p+4f); |
| 35 | const __m128 vmagic_bias = _mm_set1_ps(0x1.8000FEp23f); |
| 36 | const __m128 vlog2e = _mm_set1_ps(0x1.715476p+0f); |
| 37 | const __m128 vminus_ln2_hi = _mm_set1_ps(-0x1.62E440p-1f); |
| 38 | const __m128 vminus_ln2_lo = _mm_set1_ps(0x1.0105C6p-21f); |
| 39 | const __m128 vc6 = _mm_set1_ps(0x1.6b7338p-10f); |
| 40 | const __m128 vc5 = _mm_set1_ps(0x1.12278Ep-7f); |
| 41 | const __m128 vc4 = _mm_set1_ps(0x1.555716p-5f); |
| 42 | const __m128 vc3 = _mm_set1_ps(0x1.5554B0p-3f); |
| 43 | const __m128 vc2 = _mm_set1_ps(0x1.FFFFFEp-2f); |
| 44 | const __m128 vone = _mm_set1_ps(1.0f); |
| 45 | |
| 46 | $if BATCH_TILE > 4: |
| 47 | for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) { |
| 48 | __m128 vx${ABC[0:4]} = _mm_loadu_ps(x); |
| 49 | $for N in range(4, BATCH_TILE, 4): |
| 50 | __m128 vx${ABC[N:N+4]} = _mm_loadu_ps(x + ${N}); |
| 51 | x += ${BATCH_TILE}; |
| 52 | |
| 53 | $for N in range(0, BATCH_TILE, 4): |
| 54 | const __m128 vz${ABC[N:N+4]} = _mm_max_ps(vsat_cutoff, _mm_mul_ps(vx${ABC[N:N+4]}, vprescale)); |
| 55 | |
| 56 | $for N in range(0, BATCH_TILE, 4): |
| 57 | __m128 vn${ABC[N:N+4]} = _mm_add_ps(_mm_mul_ps(vz${ABC[N:N+4]}, vlog2e), vmagic_bias); |
| 58 | |
| 59 | $for N in range(0, BATCH_TILE, 4): |
| 60 | __m128 vs${ABC[N:N+4]} = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(vn${ABC[N:N+4]}), 23)); |
| 61 | |
| 62 | $for N in range(0, BATCH_TILE, 4): |
| 63 | vn${ABC[N:N+4]} = _mm_sub_ps(vn${ABC[N:N+4]}, vmagic_bias); |
| 64 | |
| 65 | $for N in range(0, BATCH_TILE, 4): |
| 66 | __m128 vt${ABC[N:N+4]} = _mm_add_ps(_mm_mul_ps(vn${ABC[N:N+4]}, vminus_ln2_hi), vz${ABC[N:N+4]}); |
| 67 | |
| 68 | $for N in range(0, BATCH_TILE, 4): |
| 69 | vt${ABC[N:N+4]} = _mm_add_ps(_mm_mul_ps(vn${ABC[N:N+4]}, vminus_ln2_lo), vt${ABC[N:N+4]}); |
| 70 | |
| 71 | $for N in range(0, BATCH_TILE, 4): |
| 72 | __m128 vp${ABC[N:N+4]} = _mm_add_ps(_mm_mul_ps(vc6, vt${ABC[N:N+4]}), vc5); |
| 73 | |
| 74 | $for N in range(0, BATCH_TILE, 4): |
| 75 | vp${ABC[N:N+4]} = _mm_add_ps(_mm_mul_ps(vp${ABC[N:N+4]}, vt${ABC[N:N+4]}), vc4); |
| 76 | |
| 77 | $for N in range(0, BATCH_TILE, 4): |
| 78 | vp${ABC[N:N+4]} = _mm_add_ps(_mm_mul_ps(vp${ABC[N:N+4]}, vt${ABC[N:N+4]}), vc3); |
| 79 | |
| 80 | $for N in range(0, BATCH_TILE, 4): |
| 81 | vp${ABC[N:N+4]} = _mm_add_ps(_mm_mul_ps(vp${ABC[N:N+4]}, vt${ABC[N:N+4]}), vc2); |
| 82 | |
| 83 | $for N in range(0, BATCH_TILE, 4): |
| 84 | vp${ABC[N:N+4]} = _mm_mul_ps(vp${ABC[N:N+4]}, vt${ABC[N:N+4]}); |
| 85 | |
| 86 | $for N in range(0, BATCH_TILE, 4): |
| 87 | vt${ABC[N:N+4]} = _mm_mul_ps(vt${ABC[N:N+4]}, vs${ABC[N:N+4]}); |
| 88 | vs${ABC[N:N+4]} = _mm_sub_ps(vs${ABC[N:N+4]}, vone); |
| 89 | |
| 90 | $for N in range(0, BATCH_TILE, 4): |
| 91 | vp${ABC[N:N+4]} = _mm_add_ps(_mm_mul_ps(vp${ABC[N:N+4]}, vt${ABC[N:N+4]}), vt${ABC[N:N+4]}); |
| 92 | |
| 93 | $for N in range(0, BATCH_TILE, 4): |
| 94 | const __m128 ve${ABC[N:N+4]} = _mm_mul_ps(_mm_add_ps(vp${ABC[N:N+4]}, vs${ABC[N:N+4]}), valpha); |
| 95 | |
| 96 | $for N in range(0, BATCH_TILE, 4): |
| 97 | $if SSE < 4: |
| 98 | const __m128 vm${ABC[N:N+4]} = _mm_castsi128_ps(_mm_cmpgt_epi32(_mm_setzero_si128(), _mm_castps_si128(vx${ABC[N:N+4]}))); |
| 99 | vx${ABC[N:N+4]} = _mm_mul_ps(vx${ABC[N:N+4]}, vbeta); |
| 100 | |
| 101 | $for N in range(0, BATCH_TILE, 4): |
| 102 | $if SSE >= 4: |
| 103 | const __m128 vy${ABC[N:N+4]} = _mm_blendv_ps(vx${ABC[N:N+4]}, ve${ABC[N:N+4]}, vx${ABC[N:N+4]}); |
| 104 | $else: |
| 105 | const __m128 vy${ABC[N:N+4]} = _mm_or_ps(_mm_and_ps(ve${ABC[N:N+4]}, vm${ABC[N:N+4]}), _mm_andnot_ps(vm${ABC[N:N+4]}, vx${ABC[N:N+4]})); |
| 106 | |
| 107 | _mm_storeu_ps(y, vy${ABC[0:4]}); |
| 108 | $for N in range(4, BATCH_TILE, 4): |
| 109 | _mm_storeu_ps(y + ${N}, vy${ABC[N:N+4]}); |
| 110 | y += ${BATCH_TILE}; |
| 111 | } |
| 112 | for (; n >= 4 * sizeof(float); n -= 4 * sizeof(float)) { |
| 113 | __m128 vx = _mm_loadu_ps(x); |
| 114 | x += 4; |
| 115 | |
| 116 | const __m128 vz = _mm_max_ps(vsat_cutoff, _mm_mul_ps(vx, vprescale)); |
| 117 | |
| 118 | __m128 vn = _mm_add_ps(_mm_mul_ps(vz, vlog2e), vmagic_bias); |
| 119 | __m128 vs = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(vn), 23)); |
| 120 | vn = _mm_sub_ps(vn, vmagic_bias); |
| 121 | |
| 122 | __m128 vt = _mm_add_ps(_mm_mul_ps(vn, vminus_ln2_hi), vz); |
| 123 | vt = _mm_add_ps(_mm_mul_ps(vn, vminus_ln2_lo), vt); |
| 124 | |
| 125 | __m128 vp = _mm_add_ps(_mm_mul_ps(vc6, vt), vc5); |
| 126 | vp = _mm_add_ps(_mm_mul_ps(vp, vt), vc4); |
| 127 | vp = _mm_add_ps(_mm_mul_ps(vp, vt), vc3); |
| 128 | vp = _mm_add_ps(_mm_mul_ps(vp, vt), vc2); |
| 129 | vp = _mm_mul_ps(vp, vt); |
| 130 | |
| 131 | vt = _mm_mul_ps(vt, vs); |
| 132 | vs = _mm_sub_ps(vs, vone); |
| 133 | vp = _mm_add_ps(_mm_mul_ps(vp, vt), vt); |
| 134 | const __m128 ve = _mm_mul_ps(_mm_add_ps(vp, vs), valpha); |
| 135 | |
| 136 | $if SSE < 4: |
| 137 | const __m128 vm = _mm_castsi128_ps(_mm_cmpgt_epi32(_mm_setzero_si128(), _mm_castps_si128(vx))); |
| 138 | vx = _mm_mul_ps(vx, vbeta); |
| 139 | $if SSE >= 4: |
| 140 | const __m128 vy = _mm_blendv_ps(vx, ve, vx); |
| 141 | $else: |
| 142 | const __m128 vy = _mm_or_ps(_mm_and_ps(ve, vm), _mm_andnot_ps(vm, vx)); |
| 143 | |
| 144 | _mm_storeu_ps(y, vy); |
| 145 | y += 4; |
| 146 | } |
| 147 | if XNN_UNLIKELY(n != 0) { |
| 148 | __m128 vx = _mm_loadu_ps(x); |
| 149 | |
| 150 | const __m128 vz = _mm_max_ps(vsat_cutoff, _mm_mul_ps(vx, vprescale)); |
| 151 | |
| 152 | __m128 vn = _mm_add_ps(_mm_mul_ps(vz, vlog2e), vmagic_bias); |
| 153 | __m128 vs = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(vn), 23)); |
| 154 | vn = _mm_sub_ps(vn, vmagic_bias); |
| 155 | |
| 156 | __m128 vt = _mm_add_ps(_mm_mul_ps(vn, vminus_ln2_hi), vz); |
| 157 | vt = _mm_add_ps(_mm_mul_ps(vn, vminus_ln2_lo), vt); |
| 158 | |
| 159 | __m128 vp = _mm_add_ps(_mm_mul_ps(vc6, vt), vc5); |
| 160 | vp = _mm_add_ps(_mm_mul_ps(vp, vt), vc4); |
| 161 | vp = _mm_add_ps(_mm_mul_ps(vp, vt), vc3); |
| 162 | vp = _mm_add_ps(_mm_mul_ps(vp, vt), vc2); |
| 163 | vp = _mm_mul_ps(vp, vt); |
| 164 | |
| 165 | vt = _mm_mul_ps(vt, vs); |
| 166 | vs = _mm_sub_ps(vs, vone); |
| 167 | vp = _mm_add_ps(_mm_mul_ps(vp, vt), vt); |
| 168 | const __m128 ve = _mm_mul_ps(_mm_add_ps(vp, vs), valpha); |
| 169 | |
| 170 | $if SSE < 4: |
| 171 | const __m128 vm = _mm_castsi128_ps(_mm_cmpgt_epi32(_mm_setzero_si128(), _mm_castps_si128(vx))); |
| 172 | vx = _mm_mul_ps(vx, vbeta); |
| 173 | $if SSE >= 4: |
| 174 | __m128 vy = _mm_blendv_ps(vx, ve, vx); |
| 175 | $else: |
| 176 | __m128 vy = _mm_or_ps(_mm_and_ps(ve, vm), _mm_andnot_ps(vm, vx)); |
| 177 | |
| 178 | if (n & (2 * sizeof(float))) { |
| 179 | _mm_storel_pi((__m64*) y, vy); |
| 180 | vy = _mm_movehl_ps(vy, vy); |
| 181 | y += 2; |
| 182 | } |
| 183 | if (n & (1 * sizeof(float))) { |
| 184 | _mm_store_ss(y, vy); |
| 185 | } |
| 186 | } |
| 187 | } |