// Tencent is pleased to support the open source community by making ncnn available. // // Copyright (C) 2021 THL A29 Limited, a Tencent company. 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. static void conv1x1s1_sgemm_pack4_msa(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt) { int w = bottom_blob.w; int h = bottom_blob.h; const int size = w * h; Mat bottom_im2col = bottom_blob; bottom_im2col.w = size; bottom_im2col.h = 1; im2col_sgemm_pack4_msa(bottom_im2col, top_blob, kernel, _bias, opt); } static void conv1x1s2_sgemm_pack4_msa(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt) { int w = bottom_blob.w; int channels = bottom_blob.c; size_t elemsize = bottom_blob.elemsize; int elempack = bottom_blob.elempack; int outw = top_blob.w; int outh = top_blob.h; const int tailstep = (w - 2 * outw + w) * 4; Mat bottom_blob_shrinked; bottom_blob_shrinked.create(outw, outh, channels, elemsize, elempack, opt.workspace_allocator); #pragma omp parallel for num_threads(opt.num_threads) for (int p = 0; p < channels; p++) { const float* r0 = bottom_blob.channel(p); float* outptr = bottom_blob_shrinked.channel(p); for (int i = 0; i < outh; i++) { for (int j = 0; j < outw; j++) { v4f32 _val = (v4f32)__msa_ld_w(r0, 0); __msa_st_w((v4i32)_val, outptr, 0); r0 += 4 * 2; outptr += 4; } r0 += tailstep; } } conv1x1s1_sgemm_pack4_msa(bottom_blob_shrinked, top_blob, kernel, _bias, opt); }