// Auto-generated file. Do not edit! // Template: src/f32-rsum/avx.c.in // Generator: tools/xngen // // Copyright 2023 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/reduce.h" void xnn_f32_rsum_ukernel__avx_u16_acc2( size_t batch, const float* input, float* output, const struct xnn_f32_scale_params params[restrict XNN_MIN_ELEMENTS(1)]) { static const int32_t mask_table[14] = {-1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0}; assert(batch != 0); assert(batch % sizeof(float) == 0); assert(input != NULL); assert(output != NULL); __m256 vacc0 = _mm256_setzero_ps(); __m256 vacc1 = _mm256_setzero_ps(); for (; batch >= 16 * sizeof(float); batch -= 16 * sizeof(float)) { const __m256 vt0 = _mm256_loadu_ps(input); const __m256 vt1 = _mm256_loadu_ps(input + 8); input += 16; vacc0 = _mm256_add_ps(vacc0, vt0); vacc1 = _mm256_add_ps(vacc1, vt1); } vacc0 = _mm256_add_ps(vacc0, vacc1); for (; batch >= 8 * sizeof(float); batch -= 8 * sizeof(float)) { const __m256 vt = _mm256_loadu_ps(input); input += 8; vacc0 = _mm256_add_ps(vacc0, vt); } 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 vt = _mm256_maskload_ps(input, vmask); vacc0 = _mm256_add_ps(vacc0, vt); } __m128 vacc = _mm_add_ps(_mm256_castps256_ps128(vacc0), _mm256_extractf128_ps(vacc0, 1)); vacc = _mm_add_ps(vacc, _mm_movehl_ps(vacc, vacc)); vacc = _mm_add_ss(vacc, _mm_movehdup_ps(vacc)); vacc = _mm_mul_ss(vacc, _mm_load_ss(¶ms->scalar.scale)); *output += _mm_cvtss_f32(vacc); }