// Auto-generated file. Do not edit! // Template: src/f32-rminmax/avx512f.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_rmin_ukernel__avx512f_u48_acc3( 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); __m512 vmin0 = _mm512_set1_ps(*input); __m512 vmin1 = vmin0; __m512 vmin2 = vmin0; for (; batch >= 48 * sizeof(float); batch -= 48 * sizeof(float)) { const __m512 vt0 = _mm512_loadu_ps(input); const __m512 vt1 = _mm512_loadu_ps(input + 16); const __m512 vt2 = _mm512_loadu_ps(input + 32); input += 48; vmin0 = _mm512_min_ps(vmin0, vt0); vmin1 = _mm512_min_ps(vmin1, vt1); vmin2 = _mm512_min_ps(vmin2, vt2); } vmin0 = _mm512_min_ps(vmin0, vmin1); vmin0 = _mm512_min_ps(vmin0, vmin2); for (; batch >= 16 * sizeof(float); batch -= 16 * sizeof(float)) { const __m512 vt = _mm512_loadu_ps(input); input += 16; vmin0 = _mm512_min_ps(vmin0, vt); } if XNN_UNLIKELY(batch != 0) { assert(batch >= 1 * sizeof(float)); assert(batch <= 15 * sizeof(float)); // Prepare mask for valid elements (depends on batch). batch >>= XNN_LOG2_SIZEOF_FLOAT; const __mmask16 vmask = _cvtu32_mask16((uint32_t) ((UINT32_C(1) << batch) - UINT32_C(1))); const __m512 vt = _mm512_maskz_loadu_ps(vmask, input); vmin0 = _mm512_mask_min_ps(vmin0, vmask, vmin0, vt); } __m256 vmin256 = _mm256_min_ps(_mm512_castps512_ps256(vmin0), _mm256_castpd_ps(_mm512_extractf64x4_pd(_mm512_castps_pd(vmin0), 1))); __m128 vmin = _mm_min_ps(_mm256_castps256_ps128(vmin256), _mm256_extractf128_ps(vmin256, 1)); vmin = _mm_min_ps(vmin, _mm_movehl_ps(vmin, vmin)); vmin = _mm_min_ss(vmin, _mm_movehdup_ps(vmin)); _mm_store_ss(output, vmin); }