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//
// 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 im2col_sgemm_pack8to4_int8_msa(const Mat& bottom_im2col, Mat& top_blob, const Mat& kernel, const Option& opt)
{
// Mat bottom_im2col(size, maxk, inch, 8u, 8, opt.workspace_allocator);
const int size = bottom_im2col.w;
const int maxk = bottom_im2col.h;
const int inch = bottom_im2col.c;
const int outch = top_blob.c;
// permute
Mat tmp;
if (size >= 2)
tmp.create(2 * maxk, inch, size / 2 + size % 2, 8u, 8, opt.workspace_allocator);
else
tmp.create(maxk, inch, size, 8u, 8, opt.workspace_allocator);
{
int remain_size_start = 0;
int nn_size = size >> 1;
#pragma omp parallel for num_threads(opt.num_threads)
for (int ii = 0; ii < nn_size; ii++)
{
int i = remain_size_start + ii * 2;
int64_t* tmpptr = tmp.channel(i / 2);
for (int q = 0; q < inch; q++)
{
const int64_t* img0 = (const int64_t*)bottom_im2col.channel(q) + i;
for (int k = 0; k < maxk; k++)
{
v16i8 _v = __msa_ld_b(img0, 0);
__msa_st_b(_v, tmpptr, 0);
tmpptr += 2;
img0 += size;
}
}
}
remain_size_start += nn_size << 1;
#pragma omp parallel for num_threads(opt.num_threads)
for (int i = remain_size_start; i < size; i++)
{
int64_t* tmpptr = tmp.channel(i / 2 + i % 2);
for (int q = 0; q < inch; q++)
{
const int64_t* img0 = (const int64_t*)bottom_im2col.channel(q) + i;
for (int k = 0; k < maxk; k++)
{
tmpptr[0] = img0[0];
tmpptr += 1;
img0 += size;
}
}
}
}
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
int* outptr0 = top_blob.channel(p);
int i = 0;
for (; i + 1 < size; i += 2)
{
const signed char* tmpptr = tmp.channel(i / 2);
const signed char* kptr = kernel.channel(p);
int nn = inch * maxk; // inch always > 0
v4i32 _sum00 = __msa_fill_w(0);
v4i32 _sum01 = __msa_fill_w(0);
v4i32 _sum02 = __msa_fill_w(0);
v4i32 _sum03 = __msa_fill_w(0);
v4i32 _sum10 = __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 < nn; j++)
{
__builtin_prefetch(tmpptr + 64);
__builtin_prefetch(kptr + 128);
v16i8 _val01 = __msa_ld_b(tmpptr, 0);
v16i8 _extval01 = __msa_clti_s_b(_val01, 0);
v8i16 _val0 = (v8i16)__msa_ilvr_b(_extval01, _val01);
v8i16 _val1 = (v8i16)__msa_ilvl_b(_extval01, _val01);
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 _s00 = __msa_mulv_h(_val0, _w0);
v8i16 _s01 = __msa_mulv_h(_val0, _w1);
v8i16 _s02 = __msa_mulv_h(_val0, _w2);
v8i16 _s03 = __msa_mulv_h(_val0, _w3);
v8i16 _s10 = __msa_mulv_h(_val1, _w0);
v8i16 _s11 = __msa_mulv_h(_val1, _w1);
v8i16 _s12 = __msa_mulv_h(_val1, _w2);
v8i16 _s13 = __msa_mulv_h(_val1, _w3);
_sum00 = __msa_addv_w(_sum00, __msa_hadd_s_w(_s00, _s00));
_sum01 = __msa_addv_w(_sum01, __msa_hadd_s_w(_s01, _s01));
_sum02 = __msa_addv_w(_sum02, __msa_hadd_s_w(_s02, _s02));
_sum03 = __msa_addv_w(_sum03, __msa_hadd_s_w(_s03, _s03));
_sum10 = __msa_addv_w(_sum10, __msa_hadd_s_w(_s10, _s10));
_sum11 = __msa_addv_w(_sum11, __msa_hadd_s_w(_s11, _s11));
_sum12 = __msa_addv_w(_sum12, __msa_hadd_s_w(_s12, _s12));
_sum13 = __msa_addv_w(_sum13, __msa_hadd_s_w(_s13, _s13));
tmpptr += 16;
kptr += 32;
}
// 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);
__msa_st_w(_sum00, outptr0, 0);
__msa_st_w(_sum10, outptr0 + 4, 0);
outptr0 += 8;
}
for (; i < size; i++)
{
const signed char* tmpptr = tmp.channel(i / 2 + i % 2);
const signed char* kptr = kernel.channel(p);
int nn = inch * maxk; // inch always > 0
v4i32 _sum0 = __msa_fill_w(0);
v4i32 _sum1 = __msa_fill_w(0);
v4i32 _sum2 = __msa_fill_w(0);
v4i32 _sum3 = __msa_fill_w(0);
int j = 0;
for (; j < nn; j++)
{
__builtin_prefetch(tmpptr + 32);
__builtin_prefetch(kptr + 128);
v16i8 _val = __msa_ld_b(tmpptr, 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));
tmpptr += 8;
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, outptr0, 0);
outptr0 += 4;
}
}
}
static void convolution_im2col_sgemm_transform_kernel_pack8to4_int8_msa(const Mat& _kernel, Mat& kernel_tm, int inch, int outch, int kernel_w, int kernel_h)
{
const int maxk = kernel_w * kernel_h;
// interleave
// src = maxk-inch-outch
// dst = 8a-4b-maxk-inch/8a-outch/4b
Mat kernel = _kernel.reshape(maxk, inch, outch);
kernel_tm.create(32 * maxk, inch / 8, outch / 4, (size_t)1u);
for (int q = 0; q + 3 < outch; q += 4)
{
signed char* g00 = kernel_tm.channel(q / 4);
for (int p = 0; p + 7 < inch; p += 8)
{
for (int k = 0; k < maxk; k++)
{
for (int i = 0; i < 4; i++)
{
for (int j = 0; j < 8; j++)
{
const signed char* k00 = kernel.channel(q + i).row<const signed char>(p + j);
g00[0] = k00[k];
g00++;
}
}
}
}
}
}
static void convolution_im2col_sgemm_pack8to4_int8_msa(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, 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 inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
const int size = outw * outh;
const int maxk = kernel_w * kernel_h;
// im2col
Mat bottom_im2col(size, maxk, inch, 8u, 8, opt.workspace_allocator);
{
const int gap = w * stride_h - outw * stride_w;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < inch; p++)
{
const Mat img = bottom_blob.channel(p);
int64_t* ptr = bottom_im2col.channel(p);
for (int u = 0; u < kernel_h; u++)
{
for (int v = 0; v < kernel_w; v++)
{
const int64_t* sptr = img.row<const int64_t>(dilation_h * u) + dilation_w * v;
for (int i = 0; i < outh; i++)
{
int j = 0;
for (; j < outw; j++)
{
ptr[0] = sptr[0];
sptr += stride_w;
ptr += 1;
}
sptr += gap;
}
}
}
}
}
im2col_sgemm_pack8to4_int8_msa(bottom_im2col, top_blob, kernel, opt);
}
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