| // Auto-generated file. Do not edit! |
| // Template: src/f32-vsigmoid/sse-rr2-p5-div.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 <assert.h> |
| |
| #include <smmintrin.h> |
| |
| #include <xnnpack/common.h> |
| #include <xnnpack/vunary.h> |
| |
| |
| void xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x4( |
| size_t n, |
| const float* x, |
| float* y, |
| const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS |
| { |
| assert(n % sizeof(float) == 0); |
| |
| const __m128 vsign_mask = _mm_load_ps(params->sse2_rr2_p5.sign_mask); |
| const __m128 vmagic_bias = _mm_load_ps(params->sse2_rr2_p5.magic_bias); |
| const __m128 vlog2e = _mm_load_ps(params->sse2_rr2_p5.log2e); |
| const __m128 vminus_ln2_hi = _mm_load_ps(params->sse2_rr2_p5.minus_ln2_hi); |
| const __m128 vminus_ln2_lo = _mm_load_ps(params->sse2_rr2_p5.minus_ln2_lo); |
| const __m128 vc5 = _mm_load_ps(params->sse2_rr2_p5.c5); |
| const __m128 vc4 = _mm_load_ps(params->sse2_rr2_p5.c4); |
| const __m128 vc3 = _mm_load_ps(params->sse2_rr2_p5.c3); |
| const __m128 vc2 = _mm_load_ps(params->sse2_rr2_p5.c2); |
| const __m128 vc1 = _mm_load_ps(params->sse2_rr2_p5.c1); |
| const __m128 vone = _mm_load_ps(params->sse2_rr2_p5.one); |
| const __m128 vdenorm_cutoff = _mm_load_ps(params->sse2_rr2_p5.denorm_cutoff); |
| |
| for (; n >= 4 * sizeof(float); n -= 4 * sizeof(float)) { |
| const __m128 vx = _mm_loadu_ps(x); |
| |
| const __m128 vz = _mm_or_ps(vx, vsign_mask); |
| |
| __m128 vn = _mm_add_ps(_mm_mul_ps(vz, vlog2e), vmagic_bias); |
| const __m128 vs = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(vn), 23)); |
| vn = _mm_sub_ps(vn, vmagic_bias); |
| |
| __m128 vt = _mm_add_ps(_mm_mul_ps(vn, vminus_ln2_hi), vz); |
| vt = _mm_add_ps(_mm_mul_ps(vn, vminus_ln2_lo), vt); |
| |
| __m128 vp = _mm_add_ps(_mm_mul_ps(vc5, vt), vc4); |
| vp = _mm_add_ps(_mm_mul_ps(vp, vt), vc3); |
| vp = _mm_add_ps(_mm_mul_ps(vp, vt), vc2); |
| vp = _mm_add_ps(_mm_mul_ps(vp, vt), vc1); |
| |
| vt = _mm_mul_ps(vt, vs); |
| __m128 ve = _mm_add_ps(_mm_mul_ps(vt, vp), vs); |
| |
| __m128 vd = _mm_add_ps(ve, vone); |
| __m128 vf = _mm_div_ps(ve, vd); |
| |
| vf = _mm_andnot_ps(_mm_cmplt_ps(vz, vdenorm_cutoff), vf); |
| vf = _mm_blendv_ps(_mm_sub_ps(vone, vf), vf, vx); |
| |
| _mm_storeu_ps(y, vf); |
| |
| x += 4; |
| y += 4; |
| } |
| if XNN_UNLIKELY(n != 0) { |
| const __m128 vx = _mm_loadu_ps(x); |
| |
| const __m128 vz = _mm_or_ps(vx, vsign_mask); |
| |
| __m128 vn = _mm_add_ps(_mm_mul_ps(vz, vlog2e), vmagic_bias); |
| const __m128 vs = _mm_castsi128_ps(_mm_slli_epi32(_mm_castps_si128(vn), 23)); |
| vn = _mm_sub_ps(vn, vmagic_bias); |
| |
| __m128 vt = _mm_add_ps(_mm_mul_ps(vn, vminus_ln2_hi), vz); |
| vt = _mm_add_ps(_mm_mul_ps(vn, vminus_ln2_lo), vt); |
| |
| __m128 vp = _mm_add_ps(_mm_mul_ps(vc5, vt), vc4); |
| vp = _mm_add_ps(_mm_mul_ps(vp, vt), vc3); |
| vp = _mm_add_ps(_mm_mul_ps(vp, vt), vc2); |
| vp = _mm_add_ps(_mm_mul_ps(vp, vt), vc1); |
| |
| vt = _mm_mul_ps(vt, vs); |
| __m128 ve = _mm_add_ps(_mm_mul_ps(vt, vp), vs); |
| |
| __m128 vd = _mm_add_ps(ve, vone); |
| __m128 vf = _mm_div_ps(ve, vd); |
| |
| vf = _mm_andnot_ps(_mm_cmplt_ps(vz, vdenorm_cutoff), vf); |
| vf = _mm_blendv_ps(_mm_sub_ps(vone, vf), vf, vx); |
| |
| if (n & (2 * sizeof(float))) { |
| _mm_storel_pi((__m64*) y, vf); |
| vf = _mm_movehl_ps(vf, vf); |
| y += 2; |
| } |
| if (n & (1 * sizeof(float))) { |
| _mm_store_ss(y, vf); |
| } |
| } |
| } |