// Auto-generated file. Do not edit! // Template: src/f32-velu/avx2-rr1-p6.c.in // Generator: tools/xngen // // Copyright 2020 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_velu_ukernel__avx2_rr1_p6_u8( size_t batch, const float* input, float* output, const struct xnn_f32_elu_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 vsat_cutoff = _mm256_set1_ps(-0x1.154246p+4f); const __m256 vmagic_bias = _mm256_set1_ps(0x1.8000FEp23f); const __m256 vlog2e = _mm256_set1_ps(0x1.715476p+0f); const __m256 vminus_ln2 = _mm256_set1_ps(-0x1.62E430p-1f); const __m256 vc6 = _mm256_set1_ps(0x1.6B7338p-10f); const __m256 vc5 = _mm256_set1_ps(0x1.12278Ep-7f); const __m256 vc4 = _mm256_set1_ps(0x1.555716p-5f); const __m256 vc3 = _mm256_set1_ps(0x1.5554B0p-3f); const __m256 vc2 = _mm256_set1_ps(0x1.FFFFFEp-2f); XNN_FORCE_REALIZATION(vsat_cutoff); XNN_FORCE_REALIZATION(vmagic_bias); XNN_FORCE_REALIZATION(vlog2e); XNN_FORCE_REALIZATION(vminus_ln2); XNN_FORCE_REALIZATION(vc6); XNN_FORCE_REALIZATION(vc5); XNN_FORCE_REALIZATION(vc4); XNN_FORCE_REALIZATION(vc3); XNN_FORCE_REALIZATION(vc2); const __m256 vprescale = _mm256_set1_ps(params->scalar.prescale); const __m256 valpha = _mm256_set1_ps(params->scalar.alpha); const __m256 vbeta = _mm256_set1_ps(params->scalar.beta); for (; batch >= 8 * sizeof(float); batch -= 8 * sizeof(float)) { __m256 vx = _mm256_loadu_ps(input); input += 8; const __m256 vz = _mm256_max_ps(vsat_cutoff, _mm256_mul_ps(vx, vprescale)); __m256 vn = _mm256_fmadd_ps(vz, vlog2e, vmagic_bias); __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(vc6, vt, vc5); vp = _mm256_fmadd_ps(vp, vt, vc4); vp = _mm256_fmadd_ps(vp, vt, vc3); vp = _mm256_fmadd_ps(vp, vt, vc2); vp = _mm256_mul_ps(vp, vt); vt = _mm256_mul_ps(vt, vs); vs = _mm256_fmsub_ps(vs, valpha, valpha); vp = _mm256_fmadd_ps(vp, vt, vt); const __m256 ve = _mm256_fmadd_ps(vp, valpha, vs); vx = _mm256_mul_ps(vx, vbeta); const __m256 vy = _mm256_blendv_ps(vx, ve, vx); _mm256_storeu_ps(output, vy); 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)); __m256 vx = _mm256_maskload_ps(input, vmask); const __m256 vz = _mm256_max_ps(vsat_cutoff, _mm256_mul_ps(vx, vprescale)); __m256 vn = _mm256_fmadd_ps(vz, vlog2e, vmagic_bias); __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(vc6, vt, vc5); vp = _mm256_fmadd_ps(vp, vt, vc4); vp = _mm256_fmadd_ps(vp, vt, vc3); vp = _mm256_fmadd_ps(vp, vt, vc2); vp = _mm256_mul_ps(vp, vt); vt = _mm256_mul_ps(vt, vs); vs = _mm256_fmsub_ps(vs, valpha, valpha); vp = _mm256_fmadd_ps(vp, vt, vt); const __m256 ve = _mm256_fmadd_ps(vp, valpha, vs); vx = _mm256_mul_ps(vx, vbeta); const __m256 vy = _mm256_blendv_ps(vx, ve, vx); __m128 vy_lo = _mm256_castps256_ps128(vy); if (batch & (4 * sizeof(float))) { _mm_storeu_ps(output, vy_lo); vy_lo = _mm256_extractf128_ps(vy, 1); output += 4; } if (batch & (2 * sizeof(float))) { _mm_storel_pi((__m64*) output, vy_lo); vy_lo = _mm_movehl_ps(vy_lo, vy_lo); output += 2; } if (batch & (1 * sizeof(float))) { _mm_store_ss(output, vy_lo); } } }