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Diffstat (limited to 'compute/ncnn/src/srcn/conv_sgemm_singlethread.cc')
-rw-r--r--compute/ncnn/src/srcn/conv_sgemm_singlethread.cc366
1 files changed, 0 insertions, 366 deletions
diff --git a/compute/ncnn/src/srcn/conv_sgemm_singlethread.cc b/compute/ncnn/src/srcn/conv_sgemm_singlethread.cc
deleted file mode 100644
index 4cbbf217f..000000000
--- a/compute/ncnn/src/srcn/conv_sgemm_singlethread.cc
+++ /dev/null
@@ -1,366 +0,0 @@
-/*
- * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * 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.
- */
-
-#include <stdexcept>
-
-#include "common.h"
-#include "sgemm_kernel.h"
-#include "sgemm_pack.h"
-#include "conv_sgemm_singlethread.h"
-
-namespace nnfw
-{
-namespace srcn
-{
-
-void conv_sgemm_singlethread::param_init()
-{
- if (n_ > 3 * m_)
- {
- shard_type_ = shardByRow;
- }
- else
- {
- shard_type_ = shardByCol;
- }
-
-#if __aarch64__
- if (conv_type_ == row_major)
- {
- if (shard_type_ == shardByRow)
- {
- mr_ = 8;
- nr_ = 12;
- }
- else
- {
- mr_ = 12;
- nr_ = 8;
- }
- }
- else if (conv_type_ == col_major)
- {
-#ifndef BATCH_DILATION_FIX
- mr_ = 12;
- nr_ = 8;
-#else // BATCH_DILATION_FIX
- // TODO: batch(dilation) + inw * inh
- if (out_mat_.n > 1)
- {
- mr_ = 24;
- nr_ = 4;
- }
- else
- {
- mr_ = 12;
- nr_ = 8;
- }
-#endif // BATCH_DILATION_FIX
- }
-#else // __aarch64__
- if (conv_type_ == row_major)
- {
- mr_ = 6;
- nr_ = 8;
- }
- else if (conv_type_ == col_major)
- {
- mr_ = 8;
- nr_ = 6;
- }
-#endif // __aarch64__
-
- int k_div = (nr_ * sizeof_RhsScalar);
- int k_sub = (mr_ * nr_ * sizeof_ResScalar);
-
- const int k_cache = MIN(divup((int)(L1_CACHE_SIZE - k_sub), (int)k_div), MAX_K);
- bk_ = MIN(k_cache, k_);
-
- if (shard_type_ == shardByCol)
- {
- int m_sub = (bk_ * nr_ * sizeof_RhsScalar);
- int m_cache = divup((L2_CACHE_SIZE - m_sub), (sizeof_LhsScalar * bk_ * 2));
- bm_ = MIN(m_cache, m_);
-
- bn_ = MIN(GEN_COL, n_);
- if (L3_CACHE_SIZE)
- {
- int n_sub = (bk_ * bm_ * sizeof_RhsScalar);
- int n_cache = divup((L3_CACHE_SIZE - n_sub), (sizeof_LhsScalar * bk_ * 2));
- bn_ = MIN(n_cache, bn_);
- }
- }
- else
- {
- int n_sub = (bk_ * mr_ * sizeof_RhsScalar);
- int n_cache = divup((L2_CACHE_SIZE - n_sub), (sizeof_LhsScalar * bk_ * 2));
- bn_ = MIN(n_cache, n_);
-
- bm_ = MIN(GEN_COL, m_);
- if (L3_CACHE_SIZE)
- {
- int m_sub = (bk_ * bn_ * sizeof_RhsScalar);
- int m_cache = divup((L3_CACHE_SIZE - m_sub), (sizeof_LhsScalar * bk_ * 2));
- bm_ = MIN(m_cache, bm_);
- }
- }
-
- nm_ = divup(m_, bm_);
- nn_ = divup(n_, bn_);
- nk_ = divup(k_, bk_);
-
- rm_ = m_ % bm_;
- rn_ = n_ % bn_;
- rk_ = k_ % bk_;
-}
-
-conv_sgemm_singlethread::conv_sgemm_singlethread(const convMat_t &in_mat,
- const convMat_t &weights_mat, convMat_t &out_mat,
- const convParams_t &in_param, convType_t conv_type)
- : in_mat_(in_mat), weights_mat_(weights_mat), out_mat_(out_mat), in_param_(in_param),
- conv_type_(conv_type)
-{
- m_ = out_mat_.c;
-#ifdef NCNN
- n_ = out_mat_.n * alignSize(out_mat_.h * out_mat_.w, 16 / sizeof(float));
-#else
- n_ = out_mat_.n * out_mat_.w * out_mat_.h;
-#endif
- k_ = in_param_.kernel_h * in_param_.kernel_w * in_mat.c;
-
- param_init();
-
- if (in_param_.kernel_w != 1 || in_param_.kernel_h != 1 || in_param_.stride_w != 1 ||
- in_param_.stride_h != 1 || in_param_.padding != 0 || out_mat_.n > 1)
- {
- need_im2col_ = 1;
- }
- else
- {
- need_im2col_ = 0;
- }
-}
-
-conv_sgemm_singlethread::~conv_sgemm_singlethread() {}
-
-void conv_sgemm_singlethread::run()
-{
- int mstride = (bm_ + mr_ - 1) / mr_ * mr_;
- int nstride = (bn_ + nr_ - 1) / nr_ * nr_;
-
- float *plhs_ptr = new float[mstride * bk_];
- float *prhs_ptr = new float[nstride * bk_];
-
- if (conv_type_ == row_major)
- {
- if (shard_type_ == shardByCol)
- {
- for (int j = 0; j < nn_; j++)
- {
- const int bn = (j != nn_ - 1 || rn_ == 0) ? bn_ : rn_;
-
- for (int l = 0; l < nk_; l++)
- {
- const int bk = (l != nk_ - 1 || rk_ == 0) ? bk_ : rk_;
-
- if (need_im2col_)
- {
- if (out_mat_.n == 1)
- {
- _pack_rowmajor_image_rhs(nr_, bn, bk, l * bk_, j * bn_,
- const_cast<convMat_t *>(&in_mat_), &out_mat_,
- const_cast<convParams_t *>(&in_param_), prhs_ptr);
- }
- else
- {
- _pack_rowmajor_image_rhs_batch(nr_, bn, bk, l * bk_, j * bn_,
- const_cast<convMat_t *>(&in_mat_), &out_mat_,
- const_cast<convParams_t *>(&in_param_), prhs_ptr);
- }
- }
- else
- {
- _pack_rowmajor_notrans_rhs(nr_, bn, bk, n_, &in_mat_.data[l * bk_ * n_ + j * bn_],
- prhs_ptr);
- }
-
- for (int i = 0; i < nm_; i++)
- {
- const int bm = (i != nm_ - 1 || rm_ == 0) ? bm_ : rm_;
-
- _pack_rowmajor_notrans_lhs(mr_, bm, bk, k_, &weights_mat_.data[i * bm_ * k_ + l * bk_],
- plhs_ptr);
-
- _sgemm_rowmajor_macro_kernel_divnm(mr_, nr_, bm, bn, bk, plhs_ptr, prhs_ptr,
- &out_mat_.data[i * bm_ * n_ + j * bn_], l, n_, bk);
- }
- }
- }
- }
- else if (shard_type_ == shardByRow)
- {
- for (int i = 0; i < nm_; i++)
- {
- const int bm = (i != nm_ - 1 || rm_ == 0) ? bm_ : rm_;
-
- for (int l = 0; l < nk_; l++)
- {
- const int bk = (l != nk_ - 1 || rk_ == 0) ? bk_ : rk_;
-
- _pack_rowmajor_notrans_lhs(mr_, bm, bk, k_, &weights_mat_.data[i * bm_ * k_ + l * bk_],
- plhs_ptr);
-
- for (int j = 0; j < nn_; j++)
- {
- const int bn = (j != nn_ - 1 || rn_ == 0) ? bn_ : rn_;
-
- if (need_im2col_)
- {
- if (out_mat_.n == 1)
- {
- _pack_rowmajor_image_rhs(nr_, bn, bk, l * bk_, j * bn_,
- const_cast<convMat_t *>(&in_mat_), &out_mat_,
- const_cast<convParams_t *>(&in_param_), prhs_ptr);
- }
- else
- {
- _pack_rowmajor_image_rhs_batch(nr_, bn, bk, l * bk_, j * bn_,
- const_cast<convMat_t *>(&in_mat_), &out_mat_,
- const_cast<convParams_t *>(&in_param_), prhs_ptr);
- }
- }
- else
- {
- _pack_rowmajor_notrans_rhs(nr_, bn, bk, n_, &in_mat_.data[l * bk_ * n_ + j * bn_],
- prhs_ptr);
- }
-
- _sgemm_rowmajor_macro_kernel_divmn(mr_, nr_, bm, bn, bk, plhs_ptr, prhs_ptr,
- &out_mat_.data[i * bm_ * n_ + j * bn_], l, n_, bk);
- }
- }
- }
- }
- else
- {
- throw std::runtime_error{"Error shrad type!"};
- }
- }
- else if (conv_type_ == col_major)
- {
- if (shard_type_ == shardByCol)
- {
- for (int j = 0; j < nn_; j++)
- {
- const int bn = (j != nn_ - 1 || rn_ == 0) ? bn_ : rn_;
- for (int l = 0; l < nk_; l++)
- {
- const int bk = (l != nk_ - 1 || rk_ == 0) ? bk_ : rk_;
-
- if (need_im2col_)
- {
- if (out_mat_.n == 1)
- {
- _pack_colmajor_image_rhs(nr_, bn, bk, l * bk_, j * bn_,
- const_cast<convMat_t *>(&in_mat_), &out_mat_,
- const_cast<convParams_t *>(&in_param_), prhs_ptr);
- }
- else
- {
- _pack_colmajor_image_rhs_batch(nr_, bn, bk, l * bk_, j * bn_,
- const_cast<convMat_t *>(&in_mat_), &out_mat_,
- const_cast<convParams_t *>(&in_param_), prhs_ptr);
- }
- }
- else
- {
- _pack_colmajor_notrans_rhs(nr_, bn, bk, k_, &in_mat_.data[j * bn_ * k_ + l * bk_],
- prhs_ptr);
- }
-
- for (int i = 0; i < nm_; i++)
- {
- const int bm = (i != nm_ - 1 || rm_ == 0) ? bm_ : rm_;
-
- _pack_colmajor_notrans_lhs(mr_, bm, bk, m_, &weights_mat_.data[l * bk_ * m_ + i * bm_],
- plhs_ptr);
-
- _sgemm_colmajor_macro_kernel_divnm(mr_, nr_, bm, bn, bk, plhs_ptr, prhs_ptr,
- &out_mat_.data[j * bn_ * m_ + i * bm_], l, m_, bk);
- }
- }
- }
- }
- else if (shard_type_ == shardByRow)
- {
- for (int i = 0; i < nm_; i++)
- {
- const int bm = (i != nm_ - 1 || rm_ == 0) ? bm_ : rm_;
-
- for (int l = 0; l < nk_; l++)
- {
- const int bk = (l != nk_ - 1 || rk_ == 0) ? bk_ : rk_;
-
- _pack_colmajor_notrans_lhs(mr_, bm, bk, m_, &weights_mat_.data[l * bk_ * m_ + i * bm_],
- plhs_ptr);
-
- for (int j = 0; j < nn_; j++)
- {
- const int bn = (j != nn_ - 1 || rn_ == 0) ? bn_ : rn_;
-
- if (need_im2col_)
- {
- if (out_mat_.n == 1)
- {
- _pack_colmajor_image_rhs(nr_, bn, bk, l * bk_, j * bn_,
- const_cast<convMat_t *>(&in_mat_), &out_mat_,
- const_cast<convParams_t *>(&in_param_), prhs_ptr);
- }
- else
- {
- _pack_colmajor_image_rhs_batch(nr_, bn, bk, l * bk_, j * bn_,
- const_cast<convMat_t *>(&in_mat_), &out_mat_,
- const_cast<convParams_t *>(&in_param_), prhs_ptr);
- }
- }
- else
- {
- _pack_colmajor_notrans_rhs(nr_, bn, bk, k_, &in_mat_.data[j * bn_ * k_ + l * bk_],
- prhs_ptr);
- }
-
- _sgemm_colmajor_macro_kernel_divmn(mr_, nr_, bm, bn, bk, plhs_ptr, prhs_ptr,
- &out_mat_.data[j * bn_ * m_ + i * bm_], l, m_, bk);
- }
- }
- }
- }
- else
- {
- throw std::runtime_error{"Error shrad type!"};
- }
- }
- else
- {
- throw std::runtime_error{"Error conv type!"};
- }
-
- delete[] plhs_ptr;
- delete[] prhs_ptr;
-}
-
-} // namespace srcn
-} // namespace nnfw
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