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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 "ExecuteKernelU8S8.h"
#include <cpuinfo.h>
#include <chrono>
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
double kernel_time = 0.0;
double postprocessing_time = 0.0;
#endif
namespace fbgemm2 {
template <typename packingAMatrix, typename cT, typename processOutputType>
ExecuteKernel<
packingAMatrix,
PackBMatrix<int8_t, typename packingAMatrix::accType>,
cT,
processOutputType>::
ExecuteKernel(
PackMatrix<packingAMatrix, uint8_t, typename packingAMatrix::accType>&
packA,
PackMatrix<
PackBMatrix<int8_t, typename packingAMatrix::accType>,
int8_t,
typename packingAMatrix::accType>& packB,
int32_t kBlock,
cT* matC,
int32_t* C_buffer,
int32_t ldc,
const processOutputType& outputProcess)
: packedA_(packA),
packedB_(packB),
kBlock_(kBlock),
matC_(matC),
C_buffer_(C_buffer),
ldc_(ldc),
outputProcess_(outputProcess) {
if (cpuinfo_has_x86_avx512f()) {
mbSize_ = PackingTraits<
int8_t,
typename packingAMatrix::accType,
inst_set_t::avx512>::MCB;
nbSize_ = PackingTraits<
int8_t,
typename packingAMatrix::accType,
inst_set_t::avx512>::NCB;
} else if (cpuinfo_has_x86_avx2()) {
mbSize_ = PackingTraits<
int8_t,
typename packingAMatrix::accType,
inst_set_t::avx2>::MCB;
nbSize_ = PackingTraits<
int8_t,
typename packingAMatrix::accType,
inst_set_t::avx2>::NCB;
} else {
assert(0 && "unsupported architecure");
}
C_tile_ = new int32_t[mbSize_ * nbSize_];
}
template <typename packingAMatrix, typename cT, typename processOutputType>
void ExecuteKernel<
packingAMatrix,
PackBMatrix<int8_t, typename packingAMatrix::accType>,
cT,
processOutputType>::execute(int kBlock) {
// packedA_.printPackedMatrix("packedA from kernel");
// packedB_.printPackedMatrix("packedB from kernel");
int32_t bColBlocks = packedB_.blockCols();
int8_t* bBuf;
int8_t* bBuf_pf;
uint8_t* aBuf = packedA_.getBuf(0);
int32_t packed_rows_A = packedA_.numPackedRows();
int32_t row_start_A = packedA_.packedRowStart();
bool lastKBlock = packedB_.isThisLastKBlock(kBlock);
bool accum = kBlock > 0;
typename BaseType::jit_micro_kernel_fp fn;
if (cpuinfo_initialize()) {
if (cpuinfo_has_x86_avx512f()) {
fn = BaseType::template getOrCreate<inst_set_t::avx512>(
accum,
packed_rows_A,
packedB_.blockColSize(),
packedA_.numPackedCols(),
nbSize_);
} else if (cpuinfo_has_x86_avx2()) {
fn = BaseType::template getOrCreate<inst_set_t::avx2>(
accum,
packed_rows_A,
packedB_.blockColSize(),
packedA_.numPackedCols(),
nbSize_);
} else {
// TODO: Have default slower path
assert(0 && "unsupported architecture");
return;
}
} else {
throw std::runtime_error("Failed to initialize cpuinfo!");
}
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
std::chrono::time_point<std::chrono::high_resolution_clock> t_start, t_end;
double dt;
t_start = std::chrono::high_resolution_clock::now();
#endif
for (int jb = 0; jb < bColBlocks; ++jb) {
bBuf = packedB_.getBuf(jb, kBlock);
// prefetch addr of the next packed block of B matrix
bBuf_pf = packedB_.getBuf(jb == bColBlocks - 1 ? jb : jb + 1, kBlock);
// Reuse the first rowblock of C_buffer_ unless when C_buffer_ is same as
// matC_ (inplace output processing)
int32_t* C_buffer_row_start = C_buffer_ +
((C_buffer_ == reinterpret_cast<int32_t*>(matC_)) ? row_start_A * ldc_
: 0);
int32_t* C_buffer_start = C_buffer_row_start + jb * nbSize_;
int32_t leadingDim = ldc_;
if (packedB_.isThereColRemainder() && (jb == bColBlocks - 1)) {
// In case we will access memory past C_buffer_, we use C_tile_ instead.
C_buffer_start = C_tile_;
leadingDim = nbSize_;
}
fn(aBuf,
bBuf,
bBuf_pf,
C_buffer_start,
packedA_.numPackedCols(),
leadingDim);
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
t_end = std::chrono::high_resolution_clock::now();
dt = std::chrono::duration_cast<std::chrono::nanoseconds>(t_end - t_start)
.count();
kernel_time += (dt);
t_start = std::chrono::high_resolution_clock::now();
#endif
// Output processing is done only once per rowblock
if (lastKBlock && jb == bColBlocks - 1) {
// When C_tile_ is used for the last column block, we need a separate
// handling for the last column block.
int32_t nSize =
C_buffer_start == C_tile_ ? jb * nbSize_ : packedB_.numCols();
if (nSize) {
if (cpuinfo_has_x86_avx512f()) {
// TODO: avx512 path
// Currently use avx2 code
outputProcess_.template f<inst_set_t::avx2>(
matC_,
C_buffer_row_start,
{row_start_A, packed_rows_A, 0, nSize},
ldc_,
ldc_);
} else if (cpuinfo_has_x86_avx2()) {
outputProcess_.template f<inst_set_t::avx2>(
matC_,
C_buffer_row_start,
{row_start_A, packed_rows_A, 0, nSize},
ldc_,
ldc_);
} else {
// TODO: Have default slower path
assert(0 && "unsupported architecure");
}
}
if (C_buffer_start == C_tile_) {
if (cpuinfo_has_x86_avx512f()) {
// TODO: avx512 path
// Currently use avx2 code
outputProcess_.template f<inst_set_t::avx2>(
matC_,
C_tile_,
{row_start_A, packed_rows_A, jb * nbSize_, packedB_.lastBcol()},
ldc_,
leadingDim);
} else if (cpuinfo_has_x86_avx2()) {
outputProcess_.template f<inst_set_t::avx2>(
matC_,
C_tile_,
{row_start_A, packed_rows_A, jb * nbSize_, packedB_.lastBcol()},
ldc_,
leadingDim);
} else {
// TODO: Have default slower path
assert(0 && "unsupported architecure");
}
}
} // output processing
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
t_end = std::chrono::high_resolution_clock::now();
dt = std::chrono::duration_cast<std::chrono::nanoseconds>(t_end - t_start)
.count();
postprocessing_time += (dt);
t_start = std::chrono::high_resolution_clock::now();
#endif
} // for each j block
}
template class ExecuteKernel<
PackAWithRowOffset<uint8_t, int32_t>,
PackBMatrix<int8_t, int32_t>,
uint8_t,
ReQuantizeOutput<false /* FUSE_RELU*/>>;
template class ExecuteKernel<
PackAWithRowOffset<uint8_t, int32_t>,
PackBMatrix<int8_t, int32_t>,
uint8_t,
ReQuantizeOutput<true>>;
template class ExecuteKernel<
PackAWithQuantRowOffset<uint8_t, int32_t>,
PackBMatrix<int8_t, int32_t>,
float,
ReQuantizeForFloat<false>>;
template class ExecuteKernel<
PackAWithQuantRowOffset<uint8_t, int32_t>,
PackBMatrix<int8_t, int32_t>,
float,
ReQuantizeForFloat<true>>;
template class ExecuteKernel<
PackAWithRowOffset<uint8_t, int32_t>,
PackBMatrix<int8_t, int32_t>,
float,
ReQuantizeForFloat<false>>;
template class ExecuteKernel<
PackAWithRowOffset<uint8_t, int32_t>,
PackBMatrix<int8_t, int32_t>,
float,
ReQuantizeForFloat<true>>;
template class ExecuteKernel<
PackAMatrix<uint8_t, int16_t>,
PackBMatrix<int8_t, int16_t>,
int32_t,
memCopy<>>;
template class ExecuteKernel<
PackAMatrix<uint8_t, int16_t>,
PackBMatrix<int8_t, int16_t>,
uint8_t,
ReQuantizeOutput<false>>;
template class ExecuteKernel<
PackAMatrix<uint8_t, int32_t>,
PackBMatrix<int8_t, int32_t>,
int32_t,
memCopy<>>;
template class ExecuteKernel<
PackAWithRowOffset<uint8_t, int16_t>,
PackBMatrix<int8_t, int16_t>,
uint8_t,
DoSpmdmOnInpBuffer<
ReQuantizeOutput<false>::outType,
int32_t,
ReQuantizeOutput<false>>>;
template class ExecuteKernel<
PackAWithRowOffset<uint8_t, int16_t>,
PackBMatrix<int8_t, int16_t>,
uint8_t,
DoSpmdmOnInpBuffer<
ReQuantizeOutput<true>::outType,
int32_t,
ReQuantizeOutput<true>>>;
template class ExecuteKernel<
PackAWithRowOffset<uint8_t, int16_t>,
PackBMatrix<int8_t, int16_t>,
float,
DoSpmdmOnInpBuffer<
ReQuantizeForFloat<false>::outType,
int32_t,
ReQuantizeForFloat<false>>>;
template class ExecuteKernel<
PackAWithRowOffset<uint8_t, int16_t>,
PackBMatrix<int8_t, int16_t>,
uint8_t,
ReQuantizeOutput<false>>;
template class ExecuteKernel<
PackAWithRowOffset<uint8_t, int16_t>,
PackBMatrix<int8_t, int16_t>,
uint8_t,
ReQuantizeOutput<true>>;
template class ExecuteKernel<
PackAWithRowOffset<uint8_t, int16_t>,
PackBMatrix<int8_t, int16_t>,
int32_t,
memCopy<>>;
template class ExecuteKernel<
PackAWithIm2Col<uint8_t, int16_t>,
PackBMatrix<int8_t, int16_t>,
int32_t,
memCopy<>>;
template class ExecuteKernel<
PackAWithIm2Col<uint8_t, int16_t, 3>,
PackBMatrix<int8_t, int16_t>,
int32_t,
memCopy<>>;
template class ExecuteKernel<
PackAWithRowOffset<uint8_t, int32_t>,
PackBMatrix<int8_t, int32_t>,
int32_t,
memCopy<>>;
template class ExecuteKernel<
PackAWithIm2Col<uint8_t, int32_t>,
PackBMatrix<int8_t, int32_t>,
int32_t,
memCopy<>>;
template class ExecuteKernel<
PackAWithIm2Col<uint8_t, int32_t, 3>,
PackBMatrix<int8_t, int32_t>,
int32_t,
memCopy<>>;
template class ExecuteKernel<
PackAWithQuantRowOffset<uint8_t, int32_t>,
PackBMatrix<int8_t, int32_t>,
int32_t,
memCopy<>>;
template class ExecuteKernel<
PackAWithRowOffset<uint8_t, int16_t>,
PackBMatrix<int8_t, int16_t>,
float,
ReQuantizeForFloat<false>>;
template class ExecuteKernel<
PackAMatrix<uint8_t, int16_t>,
PackBMatrix<int8_t, int16_t>,
int32_t,
DoNothing<int32_t, int32_t>>;
} // namespace fbgemm2
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