// Auto-generated file. Do not edit! // Template: src/f32-vsigmoid/avx2-rr1-p5.c.in // Generator: tools/xngen // // Copyright 2019 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 #include #include "xnnpack/common.h" #include "xnnpack/vunary.h" void xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_u8( size_t batch, const float* input, float* output, const struct xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) { assert(batch != 0); assert(batch % sizeof(float) == 0); assert(input != NULL); assert(output != NULL); static const int32_t mask_table[14] = {-1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0}; const __m256 vsign_mask = _mm256_set1_ps(-0.0f); const __m256 vmagic_bias = _mm256_set1_ps(0x1.8000FEp23f); const __m256 vlog2e = _mm256_set1_ps(0x1.715476p0f); const __m256 vminus_ln2 = _mm256_set1_ps(-0x1.62E430p-1f); const __m256 vc5 = _mm256_set1_ps(0x1.0F9F9Cp-7f); const __m256 vc4 = _mm256_set1_ps(0x1.573A1Ap-5f); const __m256 vc3 = _mm256_set1_ps(0x1.555A80p-3f); const __m256 vc2 = _mm256_set1_ps(0x1.FFFDC6p-2f); const __m256 vc1 = _mm256_set1_ps(0x1.FFFFF6p-1f); const __m256 vone = _mm256_set1_ps(1.0f); const __m256 vdenorm_cutoff = _mm256_set1_ps(-0x1.5D589Ep+6f); XNN_FORCE_REALIZATION(vsign_mask); XNN_FORCE_REALIZATION(vmagic_bias); XNN_FORCE_REALIZATION(vlog2e); XNN_FORCE_REALIZATION(vminus_ln2); XNN_FORCE_REALIZATION(vc5); XNN_FORCE_REALIZATION(vc4); XNN_FORCE_REALIZATION(vc3); XNN_FORCE_REALIZATION(vc2); XNN_FORCE_REALIZATION(vc1); XNN_FORCE_REALIZATION(vone); XNN_FORCE_REALIZATION(vdenorm_cutoff); for (; batch >= 8 * sizeof(float); batch -= 8 * sizeof(float)) { const __m256 vx = _mm256_loadu_ps(input); input += 8; const __m256 vz = _mm256_or_ps(vx, vsign_mask); __m256 vn = _mm256_fmadd_ps(vz, vlog2e, vmagic_bias); const __m256 vs = _mm256_castsi256_ps(_mm256_slli_epi32(_mm256_castps_si256(vn), 23)); vn = _mm256_sub_ps(vn, vmagic_bias); __m256 vt = _mm256_fmadd_ps(vn, vminus_ln2, vz); __m256 vp = _mm256_fmadd_ps(vc5, vt, vc4); vp = _mm256_fmadd_ps(vp, vt, vc3); vp = _mm256_fmadd_ps(vp, vt, vc2); vp = _mm256_fmadd_ps(vp, vt, vc1); vt = _mm256_mul_ps(vt, vs); const __m256 ve = _mm256_fmadd_ps(vt, vp, vs); const __m256 vd = _mm256_add_ps(ve, vone); __m256 vf = _mm256_div_ps(ve, vd); vf = _mm256_andnot_ps(_mm256_cmp_ps(vz, vdenorm_cutoff, _CMP_LT_OS), vf); vf = _mm256_blendv_ps(_mm256_sub_ps(vone, vf), vf, vx); _mm256_storeu_ps(output, vf); output += 8; } if XNN_UNLIKELY(batch != 0) { assert(batch >= 1 * sizeof(float)); assert(batch <= 7 * sizeof(float)); const __m256i vmask = _mm256_loadu_si256((const __m256i*) ((uintptr_t) &mask_table[7] - batch)); const __m256 vx = _mm256_maskload_ps(input, vmask); const __m256 vz = _mm256_or_ps(vx, vsign_mask); __m256 vn = _mm256_fmadd_ps(vz, vlog2e, vmagic_bias); const __m256 vs = _mm256_castsi256_ps(_mm256_slli_epi32(_mm256_castps_si256(vn), 23)); vn = _mm256_sub_ps(vn, vmagic_bias); __m256 vt = _mm256_fmadd_ps(vn, vminus_ln2, vz); __m256 vp = _mm256_fmadd_ps(vc5, vt, vc4); vp = _mm256_fmadd_ps(vp, vt, vc3); vp = _mm256_fmadd_ps(vp, vt, vc2); vp = _mm256_fmadd_ps(vp, vt, vc1); vt = _mm256_mul_ps(vt, vs); const __m256 ve = _mm256_fmadd_ps(vt, vp, vs); const __m256 vd = _mm256_add_ps(ve, vone); __m256 vf = _mm256_div_ps(ve, vd); vf = _mm256_andnot_ps(_mm256_cmp_ps(vz, vdenorm_cutoff, _CMP_LT_OS), vf); vf = _mm256_blendv_ps(_mm256_sub_ps(vone, vf), vf, vx); __m128 vf_lo = _mm256_castps256_ps128(vf); if (batch & (4 * sizeof(float))) { _mm_storeu_ps(output, vf_lo); vf_lo = _mm256_extractf128_ps(vf, 1); output += 4; } if (batch & (2 * sizeof(float))) { _mm_storel_pi((__m64*) output, vf_lo); vf_lo = _mm_movehl_ps(vf_lo, vf_lo); output += 2; } if (batch & (1 * sizeof(float))) { _mm_store_ss(output, vf_lo); } } }