// 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. #if NCNN_RUNTIME_CPU && NCNN_MMI && !__mips_msa && !__mips_loongson_mmi void convolution_winograd_dot_int8_loongson_mmi(Mat& bottom_blob_tm, int outch, const Mat& kernel_tm, Mat& top_blob_tm, const Option& opt); #endif static void convolution_winograd_dot_int8_msa(Mat& bottom_blob_tm, int outch, const Mat& kernel_tm, Mat& top_blob_tm, const Option& opt) { #if NCNN_RUNTIME_CPU && NCNN_MMI && !__mips_msa && !__mips_loongson_mmi if (ncnn::cpu_support_loongson_mmi()) { convolution_winograd_dot_int8_loongson_mmi(bottom_blob_tm, outch, kernel_tm, top_blob_tm, opt); return; } #endif // Mat bottom_blob_tm(tiles, 16/36/64, inch, 2u, 1, opt.workspace_allocator); const int tiles = bottom_blob_tm.w; const int batch = bottom_blob_tm.h; const int inch = bottom_blob_tm.c; // permute Mat bottom_blob_tm2; #if __mips_msa || __mips_loongson_mmi if (inch >= 4) { if (tiles >= 2) bottom_blob_tm2.create(inch / 4 + inch % 4, tiles / 2 + tiles % 2, batch, 16u, 8, opt.workspace_allocator); else // if (tiles >= 1) bottom_blob_tm2.create(inch / 4 + inch % 4, tiles, batch, 8u, 4, opt.workspace_allocator); } else #endif // __mips_msa || __mips_loongson_mmi { if (tiles >= 2) bottom_blob_tm2.create(inch, tiles / 2 + tiles % 2, batch, 4u, 2, opt.workspace_allocator); else // if (tiles >= 1) bottom_blob_tm2.create(inch, tiles, batch, 2u, 1, opt.workspace_allocator); } #pragma omp parallel for num_threads(opt.num_threads) for (int r = 0; r < batch; r++) { Mat tm2 = bottom_blob_tm2.channel(r); // tile int i = 0; for (; i + 1 < tiles; i += 2) { short* tmpptr = tm2.row(i / 2); const short* r0 = (const short*)bottom_blob_tm + r * tiles + i; int q = 0; #if __mips_msa || __mips_loongson_mmi const short* r1 = (const short*)bottom_blob_tm.channel(1) + r * tiles + i; const short* r2 = (const short*)bottom_blob_tm.channel(2) + r * tiles + i; const short* r3 = (const short*)bottom_blob_tm.channel(3) + r * tiles + i; for (; q + 3 < inch; q += 4) { #if __mips_loongson_mmi tmpptr[0] = r0[0]; tmpptr[1] = r1[0]; tmpptr[2] = r0[1]; tmpptr[3] = r1[1]; tmpptr[4] = r2[0]; tmpptr[5] = r3[0]; tmpptr[6] = r2[1]; tmpptr[7] = r3[1]; #else // __mips_loongson_mmi tmpptr[0] = r0[0]; tmpptr[1] = r1[0]; tmpptr[2] = r2[0]; tmpptr[3] = r3[0]; tmpptr[4] = r0[1]; tmpptr[5] = r1[1]; tmpptr[6] = r2[1]; tmpptr[7] = r3[1]; #endif // __mips_loongson_mmi r0 += bottom_blob_tm.cstep * 4; r1 += bottom_blob_tm.cstep * 4; r2 += bottom_blob_tm.cstep * 4; r3 += bottom_blob_tm.cstep * 4; tmpptr += 8; } #endif // __mips_msa || __mips_loongson_mmi for (; q < inch; q++) { tmpptr[0] = r0[0]; tmpptr[1] = r0[1]; r0 += bottom_blob_tm.cstep; tmpptr += 2; } } for (; i < tiles; i++) { short* tmpptr = tm2.row(i / 2 + i % 2); const short* r0 = (const short*)bottom_blob_tm + r * tiles + i; int q = 0; #if __mips_msa || __mips_loongson_mmi const short* r1 = (const short*)bottom_blob_tm.channel(1) + r * tiles + i; const short* r2 = (const short*)bottom_blob_tm.channel(2) + r * tiles + i; const short* r3 = (const short*)bottom_blob_tm.channel(3) + r * tiles + i; for (; q + 3 < inch; q += 4) { tmpptr[0] = r0[0]; tmpptr[1] = r1[0]; tmpptr[2] = r2[0]; tmpptr[3] = r3[0]; r0 += bottom_blob_tm.cstep * 4; r1 += bottom_blob_tm.cstep * 4; r2 += bottom_blob_tm.cstep * 4; r3 += bottom_blob_tm.cstep * 4; tmpptr += 4; } #endif // __mips_msa || __mips_loongson_mmi for (; q < inch; q++) { tmpptr[0] = r0[0]; r0 += bottom_blob_tm.cstep; tmpptr += 1; } } } bottom_blob_tm = Mat(); // permute end top_blob_tm.create(tiles, batch, outch, 4u, 1, opt.workspace_allocator); #if __mips_msa int nn_outch = outch >> 2; int remain_outch_start = nn_outch << 2; #pragma omp parallel for num_threads(opt.num_threads) for (int pp = 0; pp < nn_outch; pp++) { int p = pp * 4; int* output0_tm = top_blob_tm.channel(p); int* output1_tm = top_blob_tm.channel(p + 1); int* output2_tm = top_blob_tm.channel(p + 2); int* output3_tm = top_blob_tm.channel(p + 3); const Mat kernel0_tm = kernel_tm.channel(p / 4); for (int r = 0; r < batch; r++) { const Mat bb2 = bottom_blob_tm2.channel(r); int i = 0; for (; i + 1 < tiles; i += 2) { const short* r0 = bb2.row(i / 2); const short* k0 = kernel0_tm.row(r); int nn4 = inch / 4; int nn1 = inch % 4; v4i32 _sum00 = __msa_fill_w(0); v4i32 _sum10 = __msa_fill_w(0); if (nn4 > 0) { v4i32 _sum01 = __msa_fill_w(0); v4i32 _sum02 = __msa_fill_w(0); v4i32 _sum03 = __msa_fill_w(0); v4i32 _sum11 = __msa_fill_w(0); v4i32 _sum12 = __msa_fill_w(0); v4i32 _sum13 = __msa_fill_w(0); int j = 0; for (; j < nn4; j++) { v8i16 _val01 = __msa_ld_h(r0, 0); v8i16 _val0 = (v8i16)__msa_ilvr_d((v2i64)_val01, (v2i64)_val01); v8i16 _val1 = (v8i16)__msa_ilvl_d((v2i64)_val01, (v2i64)_val01); v8i16 _w0 = __msa_ld_h(k0, 0); v8i16 _w1 = __msa_ld_h(k0 + 8, 0); v8i16 _extval0 = __msa_clti_s_h(_val0, 0); v8i16 _extval1 = __msa_clti_s_h(_val1, 0); v8i16 _extw0 = __msa_clti_s_h(_w0, 0); v8i16 _extw1 = __msa_clti_s_h(_w1, 0); v4i32 _val0l = (v4i32)__msa_ilvr_h(_extval0, _val0); v4i32 _val0h = (v4i32)__msa_ilvl_h(_extval0, _val0); v4i32 _val1l = (v4i32)__msa_ilvr_h(_extval1, _val1); v4i32 _val1h = (v4i32)__msa_ilvl_h(_extval1, _val1); v4i32 _w0l = (v4i32)__msa_ilvr_h(_extw0, _w0); v4i32 _w0h = (v4i32)__msa_ilvl_h(_extw0, _w0); v4i32 _w1l = (v4i32)__msa_ilvr_h(_extw1, _w1); v4i32 _w1h = (v4i32)__msa_ilvl_h(_extw1, _w1); _sum00 = __msa_maddv_w(_sum00, _val0l, _w0l); _sum01 = __msa_maddv_w(_sum01, _val0h, _w0h); _sum02 = __msa_maddv_w(_sum02, _val0l, _w1l); _sum03 = __msa_maddv_w(_sum03, _val0h, _w1h); _sum10 = __msa_maddv_w(_sum10, _val1l, _w0l); _sum11 = __msa_maddv_w(_sum11, _val1h, _w0h); _sum12 = __msa_maddv_w(_sum12, _val1l, _w1l); _sum13 = __msa_maddv_w(_sum13, _val1h, _w1h); r0 += 8; k0 += 16; } // transpose 4x4 { v4i32 _tmp0, _tmp1, _tmp2, _tmp3; _tmp0 = __msa_ilvr_w(_sum01, _sum00); _tmp1 = __msa_ilvr_w(_sum03, _sum02); _tmp2 = __msa_ilvl_w(_sum01, _sum00); _tmp3 = __msa_ilvl_w(_sum03, _sum02); _sum00 = (v4i32)__msa_ilvr_d((v2i64)_tmp1, (v2i64)_tmp0); _sum01 = (v4i32)__msa_ilvl_d((v2i64)_tmp1, (v2i64)_tmp0); _sum02 = (v4i32)__msa_ilvr_d((v2i64)_tmp3, (v2i64)_tmp2); _sum03 = (v4i32)__msa_ilvl_d((v2i64)_tmp3, (v2i64)_tmp2); } { v4i32 _tmp0, _tmp1, _tmp2, _tmp3; _tmp0 = __msa_ilvr_w(_sum11, _sum10); _tmp1 = __msa_ilvr_w(_sum13, _sum12); _tmp2 = __msa_ilvl_w(_sum11, _sum10); _tmp3 = __msa_ilvl_w(_sum13, _sum12); _sum10 = (v4i32)__msa_ilvr_d((v2i64)_tmp1, (v2i64)_tmp0); _sum11 = (v4i32)__msa_ilvl_d((v2i64)_tmp1, (v2i64)_tmp0); _sum12 = (v4i32)__msa_ilvr_d((v2i64)_tmp3, (v2i64)_tmp2); _sum13 = (v4i32)__msa_ilvl_d((v2i64)_tmp3, (v2i64)_tmp2); } _sum00 = __msa_addv_w(_sum00, _sum01); _sum02 = __msa_addv_w(_sum02, _sum03); _sum10 = __msa_addv_w(_sum10, _sum11); _sum12 = __msa_addv_w(_sum12, _sum13); _sum00 = __msa_addv_w(_sum00, _sum02); _sum10 = __msa_addv_w(_sum10, _sum12); } for (int j = 0; j < nn1; j++) { v8i16 _val0 = __msa_fill_h(r0[0]); v8i16 _val1 = __msa_fill_h(r0[1]); v8i16 _val = (v8i16)__msa_ilvr_d((v2i64)_val1, (v2i64)_val0); v8i16 _w16 = __msa_ld_h(k0, 0); _w16 = (v8i16)__msa_ilvr_d((v2i64)_w16, (v2i64)_w16); v8i16 _extval = __msa_clti_s_h(_val, 0); v8i16 _extw16 = __msa_clti_s_h(_w16, 0); v4i32 _vall = (v4i32)__msa_ilvr_h(_extval, _val); v4i32 _valh = (v4i32)__msa_ilvl_h(_extval, _val); v4i32 _w0l = (v4i32)__msa_ilvr_h(_extw16, _w16); v4i32 _w0h = (v4i32)__msa_ilvl_h(_extw16, _w16); _sum00 = __msa_maddv_w(_sum00, _vall, _w0l); _sum10 = __msa_maddv_w(_sum10, _valh, _w0h); r0 += 2; k0 += 4; } int sum[8]; __msa_st_w(_sum00, sum, 0); __msa_st_w(_sum10, sum + 4, 0); output0_tm[0] = sum[0]; output1_tm[0] = sum[1]; output2_tm[0] = sum[2]; output3_tm[0] = sum[3]; output0_tm[1] = sum[4]; output1_tm[1] = sum[5]; output2_tm[1] = sum[6]; output3_tm[1] = sum[7]; output0_tm += 2; output1_tm += 2; output2_tm += 2; output3_tm += 2; } for (; i < tiles; i++) { const short* r0 = bb2.row(i / 2 + i % 2); const short* k0 = kernel0_tm.row(r); int nn4 = inch / 4; int nn1 = inch % 4; v4i32 _sum0 = __msa_fill_w(0); if (nn4 > 0) { v4i32 _sum1 = __msa_fill_w(0); v4i32 _sum2 = __msa_fill_w(0); v4i32 _sum3 = __msa_fill_w(0); int j = 0; for (; j < nn4; j++) { v8i16 _val16 = __msa_ld_h(r0, 0); _val16 = (v8i16)__msa_ilvr_d((v2i64)_val16, (v2i64)_val16); v8i16 _w0 = __msa_ld_h(k0, 0); v8i16 _w1 = __msa_ld_h(k0 + 8, 0); v8i16 _extval16 = __msa_clti_s_h(_val16, 0); v8i16 _extw0 = __msa_clti_s_h(_w0, 0); v8i16 _extw1 = __msa_clti_s_h(_w1, 0); v4i32 _val0l = (v4i32)__msa_ilvr_h(_extval16, _val16); v4i32 _val0h = (v4i32)__msa_ilvl_h(_extval16, _val16); v4i32 _w0l = (v4i32)__msa_ilvr_h(_extw0, _w0); v4i32 _w0h = (v4i32)__msa_ilvl_h(_extw0, _w0); v4i32 _w1l = (v4i32)__msa_ilvr_h(_extw1, _w1); v4i32 _w1h = (v4i32)__msa_ilvl_h(_extw1, _w1); _sum0 = __msa_maddv_w(_sum0, _val0l, _w0l); _sum1 = __msa_maddv_w(_sum1, _val0h, _w0h); _sum2 = __msa_maddv_w(_sum2, _val0l, _w1l); _sum3 = __msa_maddv_w(_sum3, _val0h, _w1h); r0 += 4; k0 += 16; } // 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); } for (int j = 0; j < nn1; j++) { v4i32 _val = __msa_fill_w(r0[0]); v8i16 _w16 = __msa_ld_h(k0, 0); v8i16 _extw16 = __msa_clti_s_h(_w16, 0); v4i32 _w0l = (v4i32)__msa_ilvr_h(_extw16, _w16); _sum0 = __msa_maddv_w(_sum0, _val, _w0l); r0 += 1; k0 += 4; } int sum[4]; __msa_st_w(_sum0, sum, 0); output0_tm[0] = sum[0]; output1_tm[0] = sum[1]; output2_tm[0] = sum[2]; output3_tm[0] = sum[3]; output0_tm += 1; output1_tm += 1; output2_tm += 1; output3_tm += 1; } } } #else // __mips_msa int nn_outch = outch >> 1; int remain_outch_start = nn_outch << 1; #pragma omp parallel for num_threads(opt.num_threads) for (int pp = 0; pp < nn_outch; pp++) { int p = pp * 2; int* output0_tm = top_blob_tm.channel(p); int* output1_tm = top_blob_tm.channel(p + 1); const Mat kernel0_tm = kernel_tm.channel(p / 2); for (int r = 0; r < batch; r++) { const Mat bb2 = bottom_blob_tm2.channel(r); int i = 0; for (; i + 1 < tiles; i += 2) { const short* r0 = bb2.row(i / 2); const short* k0 = kernel0_tm.row(r); int sum00 = 0; int sum01 = 0; int sum10 = 0; int sum11 = 0; #if __mips_loongson_mmi int nn4 = inch / 4; int nn1 = inch % 4; if (nn4 > 0) { int32x2_t _sum0 = __mmi_pzerow_s(); int32x2_t _sum1 = __mmi_pzerow_s(); double temp0 = 0; double temp1 = 0; double temp2 = 0; double temp3 = 0; double temp4 = 0; double temp5 = 0; uint64_t flag_0x44 = 0x44; uint64_t flag_0xee = 0xee; int j = 0; for (; j < nn4; j++) { asm volatile( "ld $0, 64(%0) \n" // __builtin_prefetch(r0 + 32); "ld $0, 64(%1) \n" // __builtin_prefetch(k0 + 32); "ldc1 %4, 0(%0) \n" // int16x4_t _v0 = __mmi_pldh_s(r0); "ldc1 %5, 8(%0) \n" // int16x4_t _v1 = __mmi_pldh_s(r0 + 4); "ldc1 %6, 0(%1) \n" // int16x4_t _k0 = __mmi_pldh_s(k0); "ldc1 %7, 8(%1) \n" // int16x4_t _k1 = __mmi_pldh_s(k0 + 4); "pshufh %8, %6, %20 \n" // int16x4_t _k0202 = __mmi_pshufh_s(_k0, 0x44); "pshufh %9, %6, %21 \n" // int16x4_t _k1313 = __mmi_pshufh_s(_k0, 0xee); "pshufh %6, %7, %20 \n" // int16x4_t _k4646 = __mmi_pshufh_s(_k1, 0x44); "pshufh %7, %7, %21 \n" // int16x4_t _k5757 = __mmi_pshufh_s(_k1, 0xee); "pmaddhw %8, %4, %8 \n" // int32x2_t _s0x = __mmi_pmaddhw(_v0, _k0202); "pmaddhw %9, %4, %9 \n" // int32x2_t _s1x = __mmi_pmaddhw(_v0, _k1313); "pmaddhw %6, %5, %6 \n" // int32x2_t _s0y = __mmi_pmaddhw(_v1, _k4646); "pmaddhw %7, %5, %7 \n" // int32x2_t _s1y = __mmi_pmaddhw(_v1, _k5757); "paddw %2, %2, %8 \n" // _sum0 = __mmi_paddw_s(_sum0, _s0x); "paddw %3, %3, %9 \n" // _sum1 = __mmi_paddw_s(_sum1, _s1x); "paddw %2, %2, %6 \n" // _sum0 = __mmi_paddw_s(_sum0, _s0y); "paddw %3, %3, %7 \n" // _sum1 = __mmi_paddw_s(_sum1, _s1y); : "=r"(r0), // %0 "=r"(k0), // %1 "=f"(_sum0), // %2 "=f"(_sum1), // %3 "=f"(temp0), // %4 "=f"(temp1), // %5 "=f"(temp2), // %6 "=f"(temp3), // %7 "=f"(temp4), // %8 "=f"(temp5) // %9 : "0"(r0), "1"(k0), "2"(_sum0), "3"(_sum1), "4"(temp0), "5"(temp1), "6"(temp2), "7"(temp3), "8"(temp4), "9"(temp5), "f"(flag_0x44), // %20 "f"(flag_0xee) // %21 : "memory"); r0 += 8; k0 += 8; } int sum[4]; __mmi_pstw_s(sum, _sum0); __mmi_pstw_s(sum + 2, _sum1); sum00 = sum[0]; sum01 = sum[1]; sum10 = sum[2]; sum11 = sum[3]; } #else // __mips_loongson_mmi int nn1 = inch; #endif // __mips_loongson_mmi for (int j = 0; j < nn1; j++) { signed short val0 = r0[0]; signed short val1 = r0[1]; signed short w0 = k0[0]; signed short w1 = k0[1]; sum00 += val0 * w0; sum01 += val1 * w0; sum10 += val0 * w1; sum11 += val1 * w1; r0 += 2; k0 += 2; } output0_tm[0] = sum00; output0_tm[1] = sum01; output1_tm[0] = sum10; output1_tm[1] = sum11; output0_tm += 2; output1_tm += 2; } for (; i < tiles; i++) { const short* r0 = bb2.row(i / 2 + i % 2); const short* k0 = kernel0_tm.row(r); int sum0 = 0; int sum1 = 0; #if __mips_loongson_mmi int nn4 = inch / 4; int nn1 = inch % 4; if (nn4 > 0) { int32x2_t _sum01 = __mmi_pzerow_s(); double temp0 = 0; double temp1 = 0; double temp2 = 0; double temp3 = 0; double temp4 = 0; uint64_t flag_0x44 = 0x44; uint64_t flag_0xee = 0xee; int j = 0; for (; j < nn4; j++) { asm volatile( "ld $0, 32(%0) \n" // __builtin_prefetch(r0 + 16); "ld $0, 64(%1) \n" // __builtin_prefetch(k0 + 32); "ldc1 %4, 0(%0) \n" // int16x4_t _v0 = __mmi_pldh_s(r0); "ldc1 %5, 0(%1) \n" // int16x4_t _k0 = __mmi_pldh_s(k0); "ldc1 %6, 8(%1) \n" // int16x4_t _k1 = __mmi_pldh_s(k0 + 4); "pshufh %7, %4, %16 \n" // int16x4_t _v0101 = __mmi_pshufh_s(_v0, 0x44); "pshufh %4, %4, %17 \n" // int16x4_t _v2323 = __mmi_pshufh_s(_v0, 0xee); "pmaddhw %5, %7, %5 \n" // int32x2_t _s01x = __mmi_pmaddhw(_v0101, _k0); "pmaddhw %6, %4, %6 \n" // int32x2_t _s01y = __mmi_pmaddhw(_v2323, _k1); "paddw %2, %2, %5 \n" // _sum01 = __mmi_paddw_s(_sum01, _s01x); "paddw %2, %2, %6 \n" // _sum01 = __mmi_paddw_s(_sum01, _s01y); : "=r"(r0), // %0 "=r"(k0), // %1 "=f"(_sum01), // %2 "=f"(temp0), // %3 "=f"(temp1), // %4 "=f"(temp2), // %5 "=f"(temp3), // %6 "=f"(temp4) // %7 : "0"(r0), "1"(k0), "2"(_sum01), "3"(temp0), "4"(temp1), "5"(temp2), "6"(temp3), "7"(temp4), "f"(flag_0x44), // %16 "f"(flag_0xee) // %17 : "memory"); r0 += 4; k0 += 8; } int sum[2]; __mmi_pstw_s(sum, _sum01); sum0 = sum[0]; sum1 = sum[1]; } #else // __mips_loongson_mmi int nn1 = inch; #endif // __mips_loongson_mmi for (int j = 0; j < nn1; j++) { signed short val0 = r0[0]; signed short w0 = k0[0]; signed short w1 = k0[1]; sum0 += val0 * w0; sum1 += val0 * w1; r0 += 1; k0 += 2; } output0_tm[0] = sum0; output1_tm[0] = sum1; output0_tm += 1; output1_tm += 1; } } } #endif // __mips_msa #pragma omp parallel for num_threads(opt.num_threads) for (int p = remain_outch_start; p < outch; p++) { int* output0_tm = top_blob_tm.channel(p); #if __mips_msa const Mat kernel0_tm = kernel_tm.channel(p / 4 + p % 4); #else const Mat kernel0_tm = kernel_tm.channel(p / 2 + p % 2); #endif for (int r = 0; r < batch; r++) { const Mat bb2 = bottom_blob_tm2.channel(r); int i = 0; for (; i + 1 < tiles; i += 2) { const short* r0 = bb2.row(i / 2); const short* k0 = kernel0_tm.row(r); int sum0 = 0; int sum1 = 0; #if __mips_msa int nn4 = inch / 4; int nn1 = inch % 4; if (nn4 > 0) { v4i32 _sum0 = __msa_fill_w(0); v4i32 _sum1 = __msa_fill_w(0); int j = 0; for (; j < nn4; j++) { v8i16 _val16 = __msa_ld_h(r0, 0); v8i16 _w16 = __msa_ld_h(k0, 0); _w16 = (v8i16)__msa_ilvr_d((v2i64)_w16, (v2i64)_w16); v8i16 _extval16 = __msa_clti_s_h(_val16, 0); v8i16 _extw16 = __msa_clti_s_h(_w16, 0); v4i32 _val0l = (v4i32)__msa_ilvr_h(_extval16, _val16); v4i32 _val0h = (v4i32)__msa_ilvl_h(_extval16, _val16); v4i32 _w0l = (v4i32)__msa_ilvr_h(_extw16, _w16); v4i32 _w0h = (v4i32)__msa_ilvl_h(_extw16, _w16); _sum0 = __msa_maddv_w(_sum0, _val0l, _w0l); _sum1 = __msa_maddv_w(_sum1, _val0h, _w0h); r0 += 8; k0 += 4; } sum0 = _sum0[0] + _sum0[1] + _sum0[2] + _sum0[3]; sum1 = _sum1[0] + _sum1[1] + _sum1[2] + _sum1[3]; } #elif __mips_loongson_mmi int nn4 = inch / 4; int nn1 = inch % 4; if (nn4 > 0) { int32x2_t _sum01 = __mmi_pzerow_s(); double temp0 = 0; double temp1 = 0; double temp2 = 0; double temp3 = 0; double temp4 = 0; uint64_t flag_0x44 = 0x44; uint64_t flag_0xee = 0xee; int j = 0; for (; j < nn4; j++) { asm volatile( "ld $0, 64(%0) \n" // __builtin_prefetch(r0 + 32); "ld $0, 32(%1) \n" // __builtin_prefetch(k0 + 16); "ldc1 %4, 0(%0) \n" // int16x4_t _v0 = __mmi_pldh_s(r0); "ldc1 %5, 8(%0) \n" // int16x4_t _v1 = __mmi_pldh_s(r0 + 4); "ldc1 %6, 0(%1) \n" // int16x4_t _k0 = __mmi_pldh_s(k0); "pshufh %7, %6, %16 \n" // int16x4_t _k0202 = __mmi_pshufh_s(_k0, 0x44); "pshufh %6, %6, %17 \n" // int16x4_t _k1313 = __mmi_pshufh_s(_k0, 0xee); "pmaddhw %4, %4, %7 \n" // int32x2_t _s01x = __mmi_pmaddhw(_v0, _k0101); "pmaddhw %5, %5, %6 \n" // int32x2_t _s01y = __mmi_pmaddhw(_v1, _k2323); "paddw %2, %2, %4 \n" // _sum01 = __mmi_paddw_s(_sum01, _s01x); "paddw %2, %2, %5 \n" // _sum01 = __mmi_paddw_s(_sum01, _s01y); : "=r"(r0), // %0 "=r"(k0), // %1 "=f"(_sum01), // %2 "=f"(temp0), // %3 "=f"(temp1), // %4 "=f"(temp2), // %5 "=f"(temp3), // %6 "=f"(temp4) // %7 : "0"(r0), "1"(k0), "2"(_sum01), "3"(temp0), "4"(temp1), "5"(temp2), "6"(temp3), "7"(temp4), "f"(flag_0x44), // %16 "f"(flag_0xee) // %17 : "memory"); r0 += 8; k0 += 4; } int sum[2]; __mmi_pstw_s(sum, _sum01); sum0 = sum[0]; sum1 = sum[1]; } #else // __mips_loongson_mmi int nn1 = inch; #endif // __mips_msa || __mips_loongson_mmi for (int q = 0; q < nn1; q++) { signed short val0 = r0[0]; signed short val1 = r0[1]; signed short w = k0[0]; sum0 += val0 * w; sum1 += val1 * w; k0 += 1; r0 += 2; } output0_tm[0] = sum0; output0_tm[1] = sum1; output0_tm += 2; } for (; i < tiles; i++) { const short* r0 = bb2.row(i / 2 + i % 2); const short* k0 = kernel0_tm.row(r); int sum = 0; #if __mips_msa int nn4 = inch / 4; int nn1 = inch % 4; if (nn4 > 0) { v4i32 _sum = __msa_fill_w(0); int j = 0; for (; j < nn4; j++) { v8i16 _val16 = __msa_ld_h(r0, 0); v8i16 _w16 = __msa_ld_h(k0, 0); v8i16 _extval16 = __msa_clti_s_h(_val16, 0); v8i16 _extw16 = __msa_clti_s_h(_w16, 0); v4i32 _val0l = (v4i32)__msa_ilvr_h(_extval16, _val16); v4i32 _w0l = (v4i32)__msa_ilvr_h(_extw16, _w16); _sum = __msa_maddv_w(_sum, _val0l, _w0l); r0 += 4; k0 += 4; } sum = _sum[0] + _sum[1] + _sum[2] + _sum[3]; } #elif __mips_loongson_mmi int nn4 = inch / 4; int nn1 = inch % 4; if (nn4 > 0) { int32x2_t _sum0 = __mmi_pzerow_s(); double temp0 = 0; double temp1 = 0; int j = 0; for (; j < nn4; j++) { asm volatile( "ld $0, 32(%0) \n" // __builtin_prefetch(r0 + 16); "ld $0, 32(%1) \n" // __builtin_prefetch(k0 + 16); "ldc1 %3, 0(%0) \n" // int16x4_t _v0 = __mmi_pldh_s(r0); "ldc1 %4, 0(%1) \n" // int16x4_t _k0 = __mmi_pldh_s(k0); "pmaddhw %3, %3, %4 \n" // int32x2_t _s0x = __mmi_pmaddhw(_v0, _k0); "paddw %2, %2, %3 \n" // _sum0 = __mmi_paddw_s(_sum0, _s0x); : "=r"(r0), // %0 "=r"(k0), // %1 "=f"(_sum0), // %2 "=f"(temp0), // %3 "=f"(temp1) // %4 : "0"(r0), "1"(k0), "2"(_sum0), "3"(temp0), "4"(temp1) : "memory"); r0 += 4; k0 += 4; } int tmp[2]; __mmi_pstw_s(tmp, _sum0); sum = tmp[0] + tmp[1]; } #else // __mips_loongson_mmi int nn1 = inch; #endif // __mips_msa || __mips_loongson_mmi for (int q = 0; q < nn1; q++) { signed short val = r0[0]; signed short w = k0[0]; sum += val * w; k0 += 1; r0 += 1; } output0_tm[0] = sum; output0_tm++; } } } }