// Tencent is pleased to support the open source community by making ncnn available. // // Copyright (C) 2022 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 convolution_pack8to4_int8_msa(const Mat& bottom_blob, Mat& top_blob, const Mat& weight_data_int8, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, const Option& opt) { int w = bottom_blob.w; int channels = bottom_blob.c; int outw = top_blob.w; int outh = top_blob.h; int outch = top_blob.c; const int maxk = kernel_w * kernel_h; // kernel offsets std::vector _space_ofs(maxk); int* space_ofs = &_space_ofs[0]; { int p1 = 0; int p2 = 0; int gap = w * dilation_h - kernel_w * dilation_w; for (int i = 0; i < kernel_h; i++) { for (int j = 0; j < kernel_w; j++) { space_ofs[p1] = p2; p1++; p2 += dilation_w; } p2 += gap; } } // num_output #pragma omp parallel for num_threads(opt.num_threads) for (int p = 0; p < outch; p++) { int* outptr = top_blob.channel(p); for (int i = 0; i < outh; i++) { for (int j = 0; j < outw; j++) { v4i32 _sum0 = __msa_fill_w(0); v4i32 _sum1 = __msa_fill_w(0); v4i32 _sum2 = __msa_fill_w(0); v4i32 _sum3 = __msa_fill_w(0); const signed char* kptr = weight_data_int8.channel(p); // channels for (int q = 0; q < channels; q++) { const Mat m = bottom_blob.channel(q); const signed char* sptr = m.row(i * stride_h) + j * stride_w * 8; for (int k = 0; k < maxk; k++) { v16i8 _val = __msa_ld_b(sptr + space_ofs[k] * 8, 0); v8i16 _val16 = (v8i16)__msa_ilvr_b(__msa_clti_s_b(_val, 0), _val); v16i8 _w01 = __msa_ld_b(kptr, 0); v16i8 _w23 = __msa_ld_b(kptr + 16, 0); v16i8 _extw01 = __msa_clti_s_b(_w01, 0); v16i8 _extw23 = __msa_clti_s_b(_w23, 0); v8i16 _w0 = (v8i16)__msa_ilvr_b(_extw01, _w01); v8i16 _w1 = (v8i16)__msa_ilvl_b(_extw01, _w01); v8i16 _w2 = (v8i16)__msa_ilvr_b(_extw23, _w23); v8i16 _w3 = (v8i16)__msa_ilvl_b(_extw23, _w23); v8i16 _s0 = __msa_mulv_h(_val16, _w0); v8i16 _s1 = __msa_mulv_h(_val16, _w1); v8i16 _s2 = __msa_mulv_h(_val16, _w2); v8i16 _s3 = __msa_mulv_h(_val16, _w3); _sum0 = __msa_addv_w(_sum0, __msa_hadd_s_w(_s0, _s0)); _sum1 = __msa_addv_w(_sum1, __msa_hadd_s_w(_s1, _s1)); _sum2 = __msa_addv_w(_sum2, __msa_hadd_s_w(_s2, _s2)); _sum3 = __msa_addv_w(_sum3, __msa_hadd_s_w(_s3, _s3)); kptr += 32; } } // transpose 4x4 { v4i32 _tmp0, _tmp1, _tmp2, _tmp3; _tmp0 = __msa_ilvr_w(_sum1, _sum0); _tmp1 = __msa_ilvr_w(_sum3, _sum2); _tmp2 = __msa_ilvl_w(_sum1, _sum0); _tmp3 = __msa_ilvl_w(_sum3, _sum2); _sum0 = (v4i32)__msa_ilvr_d((v2i64)_tmp1, (v2i64)_tmp0); _sum1 = (v4i32)__msa_ilvl_d((v2i64)_tmp1, (v2i64)_tmp0); _sum2 = (v4i32)__msa_ilvr_d((v2i64)_tmp3, (v2i64)_tmp2); _sum3 = (v4i32)__msa_ilvl_d((v2i64)_tmp3, (v2i64)_tmp2); } _sum0 = __msa_addv_w(_sum0, _sum1); _sum2 = __msa_addv_w(_sum2, _sum3); _sum0 = __msa_addv_w(_sum0, _sum2); __msa_st_w(_sum0, outptr + j * 4, 0); } outptr += outw * 4; } } }