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| | 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; |
| |
|
| | |
| | std::vector<int> _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; |
| | } |
| | } |
| |
|
| | |
| | #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); |
| |
|
| | |
| | for (int q = 0; q < channels; q++) |
| | { |
| | const Mat m = bottom_blob.channel(q); |
| | const signed char* sptr = m.row<signed char>(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; |
| | } |
| | } |
| |
|
| | |
| | { |
| | 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; |
| | } |
| | } |
| | } |
| |
|