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/*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#include <cpuinfo.h>
#include <cassert>
#include <iomanip>
#include <iostream>
#include "fbgemm/Fbgemm.h"
#include <algorithm>
namespace fbgemm2 {
template <typename T, typename accT>
PackAWithIm2Col<T, accT>::PackAWithIm2Col(
const conv_param_t& conv_p,
const T* sdata,
inpType* pmat,
int32_t zero_pt,
int32_t* row_offset)
: PackMatrix<PackAWithIm2Col<T, accT>, T, accT>(
conv_p.MB * conv_p.OH * conv_p.OW,
conv_p.KH * conv_p.KW * conv_p.IC,
pmat,
zero_pt),
conv_p_(conv_p),
sdata_(sdata) {
assert(conv_p.G == 1 && "Groups != 1 not supported yet");
if (cpuinfo_has_x86_avx512f()) {
BaseType::brow_ = PackingTraits<T, accT, inst_set_t::avx512>::MCB;
BaseType::bcol_ = PackingTraits<T, accT, inst_set_t::avx512>::KCB;
row_interleave_B_ =
PackingTraits<T, accT, inst_set_t::avx512>::ROW_INTERLEAVE;
} else if (cpuinfo_has_x86_avx2()) {
BaseType::brow_ = PackingTraits<T, accT, inst_set_t::avx2>::MCB;
BaseType::bcol_ = PackingTraits<T, accT, inst_set_t::avx2>::KCB;
row_interleave_B_ =
PackingTraits<T, accT, inst_set_t::avx2>::ROW_INTERLEAVE;
} else {
// TODO: Have default slower path
assert(0 && "unsupported architecure");
}
if (pmat) {
BaseType::buf_ = pmat;
} else {
BaseType::bufAllocatedHere_ = true;
BaseType::buf_ = static_cast<T*>(
fbgemmAlignedAlloc(64, BaseType::brow_ * BaseType::bcol_ * sizeof(T)));
//aligned_alloc(64, BaseType::brow_ * BaseType::bcol_ * sizeof(T)));
}
if (row_offset) {
rowOffsetAllocatedHere = false;
row_offset_ = row_offset;
} else {
rowOffsetAllocatedHere = true;
row_offset_ = static_cast<int32_t*>(
fbgemmAlignedAlloc(64, BaseType::brow_ * sizeof(int32_t)));
}
}
template <typename T, typename accT>
void PackAWithIm2Col<T, accT>::pack(const block_type_t& block) {
block_type_t block_p = {block.row_start,
block.row_size,
block.col_start,
(block.col_size + row_interleave_B_ - 1) /
row_interleave_B_ * row_interleave_B_};
BaseType::packedBlock(block_p);
T* out = BaseType::getBuf();
for (int i = block.row_start; i < block.row_start + block.row_size; ++i) {
int n = i / (conv_p_.OH * conv_p_.OW);
int hw = i % (conv_p_.OH * conv_p_.OW);
int w = hw % conv_p_.OW;
int h = hw / conv_p_.OW;
for (int j = block.col_start;
j < block.col_start + block.col_size + conv_p_.IC - 1;
j += conv_p_.IC) {
int j_blk_id = j / conv_p_.IC;
// max( j_blk_id * IC, START) -> min( END, (j_blk_id + 1) * IC )
int j_blk_start = std::max(j_blk_id * conv_p_.IC, block.col_start);
int j_blk_end = std::min(
(j_blk_id + 1) * conv_p_.IC, block.col_start + block.col_size);
if (j_blk_start >= j_blk_end) {
break;
}
int rs = j / conv_p_.IC;
int s = rs % conv_p_.KW;
int r = rs / conv_p_.KW;
int w_in = -conv_p_.pad_w + w * conv_p_.stride_w + s;
int h_in = -conv_p_.pad_h + h * conv_p_.stride_h + r;
if (h_in < 0 || h_in >= conv_p_.IH || w_in < 0 || w_in >= conv_p_.IW) {
// Please note that padding for convolution should be filled with
// zero_pt
std::memset(
&out
[(i - block.row_start) * BaseType::blockColSize() +
(j_blk_start - block.col_start)],
BaseType::zeroPoint(),
sizeof(T) * (j_blk_end - j_blk_start));
} else {
std::memcpy(
&out
[(i - block.row_start) * BaseType::blockColSize() +
j_blk_start - block.col_start],
&sdata_
[((n * conv_p_.IH + h_in) * conv_p_.IW + w_in) * conv_p_.IC +
(j_blk_start % conv_p_.IC)],
sizeof(T) * (j_blk_end - j_blk_start));
}
}
// zero fill
// Please see the comment in PackAMatrix.cc for zero vs zero_pt fill.
if ((block_p.col_start + block_p.col_size) -
(block.col_start + block.col_size) >
0) {
std::memset(
&out
[(i - block.row_start) * BaseType::blockColSize() +
(block.col_size)],
0,
sizeof(T) *
((block_p.col_start + block_p.col_size) -
(block.col_start + block.col_size)));
}
}
}
template <typename T, typename accT>
void PackAWithIm2Col<T, accT>::printPackedMatrix(std::string name) {
std::cout << name << ":"
<< "[" << BaseType::numPackedRows() << ", "
<< BaseType::numPackedCols() << "]" << std::endl;
T* out = BaseType::getBuf();
for (auto r = 0; r < BaseType::numPackedRows(); ++r) {
for (auto c = 0; c < BaseType::numPackedCols(); ++c) {
T val = out[r * BaseType::blockColSize() + c];
if (std::is_integral<T>::value) {
// cast to int64 because cout doesn't print int8_t type directly
std::cout << std::setw(5) << static_cast<int64_t>(val) << " ";
} else {
std::cout << std::setw(5) << val << " ";
}
}
std::cout << std::endl;
}
std::cout << std::endl;
}
template <typename T, typename accT>
int PackAWithIm2Col<T, accT>::rowOffsetBufferSize() {
if (cpuinfo_initialize()) {
if (cpuinfo_has_x86_avx512f()) {
return PackingTraits<T, accT, inst_set_t::avx512>::MCB;
} else if (cpuinfo_has_x86_avx2()) {
return PackingTraits<T, accT, inst_set_t::avx2>::MCB;
} else {
// TODO: Have default slower path
assert(0 && "unsupported architecture");
return -1;
}
} else {
throw std::runtime_error("Failed to initialize cpuinfo!");
}
}
template class PackAWithIm2Col<uint8_t, int32_t>;
template class PackAWithIm2Col<uint8_t, int16_t>;
} // namespace fbgemm2
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