// yala is pleased to support the open source community by making ncnn available. // // // Copyright (C) 2022 yala ;. All rights reserved. // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except // in compliance with the License. You may obtain a copy of the License at // // https://opensource.org/licenses/BSD-3-Clause // // Unless required by applicable law or agreed to in writing, software distributed // under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR // CONDITIONS OF ANY KIND, either express or implied. See the License for the // specific language governing permissions and limitations under the License. #include "clip_loongarch.h" #if __loongarch_sx #include #endif // __loongarch_sx #include "loongarch_usability.h" namespace ncnn { Clip_loongarch::Clip_loongarch() { #if __loongarch_sx support_packing = true; #endif } int Clip_loongarch::forward_inplace(Mat& bottom_top_blob, const Option& opt) const { int w = bottom_top_blob.w; int h = bottom_top_blob.h; int d = bottom_top_blob.d; int channels = bottom_top_blob.c; int elempack = bottom_top_blob.elempack; int size = w * h * d * elempack; #pragma omp parallel for num_threads(opt.num_threads) for (int q = 0; q < channels; q++) { float* ptr = bottom_top_blob.channel(q); int i = 0; #if __loongarch_sx __m128 _max = (__m128)__lsx_vreplfr2vr_s(max); __m128 _min = (__m128)__lsx_vreplfr2vr_s(min); for (; i + 3 < size; i += 4) { __builtin_prefetch(ptr + 16); __m128 _p = (__m128)__lsx_vld(ptr, 0); _p = __lsx_vfmax_s(_p, _min); _p = __lsx_vfmin_s(_p, _max); __lsx_vst(_p, ptr, 0); ptr += 4; } #endif // __loongarch_sx for (; i < size; i++) { if (*ptr < min) *ptr = min; if (*ptr > max) *ptr = max; ptr++; } } return 0; } } // namespace ncnn