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Fbgemm.cc
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/*
* Copyright (c) Meta Platforms, Inc. and 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.
*/
#define FBGEMM_EXPORTS
#include "fbgemm/Fbgemm.h"
#include <cpuinfo.h>
#include <functional>
#include <stdexcept>
#include "./ExecuteKernel.h"
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
double packing_time = 0.0;
double computing_time = 0.0;
double run_time = 0.0;
#endif
namespace fbgemm {
template <
typename packingAMatrix,
typename packingBMatrix,
typename cT,
typename processOutputType>
void fbgemmPacked(
PackMatrix<
packingAMatrix,
typename packingAMatrix::inpType,
typename packingAMatrix::accType>& packA,
PackMatrix<
packingBMatrix,
typename packingBMatrix::inpType,
typename packingBMatrix::accType>& packB,
cT* C,
int32_t* C_buffer,
uint32_t ldc,
const processOutputType& outProcess,
int thread_id,
int num_threads,
const BlockingFactors* blocking_params) {
static_assert(
std::is_same<
typename packingAMatrix::accType,
typename packingBMatrix::accType>::value,
"Accumulation type of both matrices should be the same");
// Run time CPU detection
if (!cpuinfo_initialize()) {
throw std::runtime_error("Failed to initialize cpuinfo!");
}
if ((!fbgemmHasAvx512VnniSupport() && !fbgemmHasAvx512Support() &&
!fbgemmHasAvx2Support())) {
assert(0 && "unknown architecure");
throw std::runtime_error("unknown architecure");
}
int64_t MCB;
int KCB;
int MR;
if (blocking_params) {
MCB = blocking_params->MCB;
KCB = blocking_params->KCB;
MR = blocking_params->MR;
} else {
const inst_set_t isa = fbgemmInstructionSet();
switch (isa) {
case inst_set_t::avx512_vnni:
std::tie(MCB, KCB, MR) = PackingTraits<
typename packingAMatrix::inpType,
typename packingAMatrix::accType,
inst_set_t::avx512_vnni>::getCacheBlockParams();
break;
case inst_set_t::avx512_vnni_ymm:
std::tie(MCB, KCB, MR) = PackingTraits<
typename packingAMatrix::inpType,
typename packingAMatrix::accType,
inst_set_t::avx512_vnni_ymm>::getCacheBlockParams();
break;
case inst_set_t::avx512:
std::tie(MCB, KCB, MR) = PackingTraits<
typename packingAMatrix::inpType,
typename packingAMatrix::accType,
inst_set_t::avx512>::getCacheBlockParams();
break;
case inst_set_t::avx512_ymm:
std::tie(MCB, KCB, MR) = PackingTraits<
typename packingAMatrix::inpType,
typename packingAMatrix::accType,
inst_set_t::avx512_ymm>::getCacheBlockParams();
break;
case inst_set_t::avx2:
std::tie(MCB, KCB, MR) = PackingTraits<
typename packingAMatrix::inpType,
typename packingAMatrix::accType,
inst_set_t::avx2>::getCacheBlockParams();
break;
default:
assert(0 && "unknown architecure");
throw std::runtime_error("unknown architecure");
}
}
if (!packB.isPrePacked()) {
throw std::runtime_error("B matrix must be prepacked");
}
int G = packA.numGroups();
if (G != packB.numGroups()) {
throw std::runtime_error(
"A.groups = " + std::to_string(G) + " and B.groups = " +
std::to_string(packB.numGroups()) + " are not the same");
}
int MDim = packA.numRows();
int KDimPerGroup = packB.numRows() / G;
int NDim = packB.numCols();
int kBlocks = (KDimPerGroup + KCB - 1) / KCB;
// remainders
int _kc = KDimPerGroup % KCB;
int kc, mc;
block_type_t blockA{0, 0, 0, 0};
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
std::chrono::time_point<std::chrono::high_resolution_clock> t_very_start,
t_start, t_end;
double dt;
t_start = std::chrono::high_resolution_clock::now();
t_very_start = std::chrono::high_resolution_clock::now();
#endif
thread_type_t th_info =
fbgemmGetThreadPartition(G, MDim, NDim, thread_id, num_threads);
// if (thread_id == 0)
// std::cout << ", " << th_info.toString();
int64_t g_begin, g_end, i_begin, i_end;
// Calculate the begin and end index along the group dimension
fbgemmPartition1D(
th_info.g_thread_id, th_info.g_num_threads, G, g_begin, g_end);
// Calculate the begin and end index along the m dimension
fbgemmPartition1DBlocked(
th_info.m_thread_id, th_info.m_num_threads, MDim, MR, i_begin, i_end);
for (int g = g_begin; g < g_end; ++g) {
ExecuteKernel<packingAMatrix, packingBMatrix, cT, processOutputType>
exeKernelObj(
packA,
packB,
C,
C_buffer,
ldc,
outProcess,
th_info,
blocking_params);
for (int i = i_begin; i < i_end; i += MCB) { // i is the element index
mc = std::min(i_end - i, MCB);
for (int kb = 0; kb < kBlocks; ++kb) { // kb is the block index
kc = (kb != kBlocks - 1 || _kc == 0) ? KCB : _kc;
// pack A matrix
blockA = {i, mc, g * KDimPerGroup + kb * KCB, kc};
packA.pack(blockA);
#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();
packing_time += (dt);
t_start = std::chrono::high_resolution_clock::now();
#endif
exeKernelObj.execute(g * kBlocks + kb);
#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();
computing_time += (dt);
t_start = std::chrono::high_resolution_clock::now();
#endif
}
}
} // for each group
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
t_end = std::chrono::high_resolution_clock::now();
dt =
std::chrono::duration_cast<std::chrono::nanoseconds>(t_end - t_very_start)
.count();
run_time += (dt);
t_start = std::chrono::high_resolution_clock::now();
#endif
}
template <int SPATIAL_DIM>
bool fbgemmOptimizedGConv(const conv_param_t<SPATIAL_DIM>& conv_p) {
if (SPATIAL_DIM == 1)
return false;
int C_per_G = conv_p.IC / conv_p.G;
int K_per_G = conv_p.OC / conv_p.G;
int G_together = PackWeightMatrixForGConv<int8_t, int32_t, SPATIAL_DIM>::
numOfGroupsTogether(conv_p);
auto areEqual = [](int a, int b) { return a == b; };
return (C_per_G == K_per_G) &&
(C_per_G == 2 || C_per_G == 4 || C_per_G == 8 || C_per_G == 16) &&
(conv_p.G >= G_together) &&
std::all_of(
conv_p.K.begin(),
conv_p.K.end(),
std::bind(areEqual, std::placeholders::_1, 3)) &&
std::all_of(
conv_p.pad.begin(),
conv_p.pad.end(),
std::bind(areEqual, std::placeholders::_1, 1)) &&
std::all_of(
conv_p.dilation.begin(),
conv_p.dilation.end(),
std::bind(areEqual, std::placeholders::_1, 1)) &&
// Height/Width strides should be the same and
// should be either 1 or 2
// Temporal stride can be anything.
(std::all_of(
conv_p.stride.begin() + SPATIAL_DIM - 2,
conv_p.stride.end(),
std::bind(areEqual, std::placeholders::_1, 1)) ||
std::all_of(
conv_p.stride.begin() + SPATIAL_DIM - 2,
conv_p.stride.end(),
std::bind(areEqual, std::placeholders::_1, 2))) &&
!conv_p.transposed;
}
template FBGEMM_API bool fbgemmOptimizedGConv(const conv_param_t<1>& conv_p);
template FBGEMM_API bool fbgemmOptimizedGConv(const conv_param_t<2>& conv_p);
template FBGEMM_API bool fbgemmOptimizedGConv(const conv_param_t<3>& conv_p);
bool fbgemmSupportedCPU() {
#if defined(__x86_64__) || defined(__i386__) || \
(defined(_MSC_VER) && (defined(_M_X64) || defined(_M_IX86)))
return (cpuinfo_initialize() && fbgemmHasAvx2Support());
#else
return cpuinfo_initialize();
#endif
}
////////////////////////////////////////////////////////////////////////////////
// Added for Windows DLL for implicit template parameter instantiation
template class FBGEMM_API memCopy<std::int32_t, std::int32_t>;
template class FBGEMM_API DoNothing<std::int32_t, std::int32_t>;
template class FBGEMM_API DoNothing<float, float>;
template class FBGEMM_API DoNothing<std::uint8_t, std::uint8_t>;
template class FBGEMM_API
ReQuantizeForFloat<false, QuantizationGranularity::TENSOR>;
template class FBGEMM_API
ReQuantizeForFloat<false, QuantizationGranularity::GROUP>;
template class FBGEMM_API
ReQuantizeForFloat<false, QuantizationGranularity::OUT_CHANNEL>;
template class FBGEMM_API
ReQuantizeForFloat<true, QuantizationGranularity::TENSOR>;
template class FBGEMM_API
ReQuantizeForFloat<true, QuantizationGranularity::GROUP>;
template class FBGEMM_API
ReQuantizeForFloat<true, QuantizationGranularity::OUT_CHANNEL>;
#define INSTANTIATE_BASE(FNAME, RELU, Q_GRAN) \
template class FBGEMM_API \
FNAME<std::uint8_t, std::int32_t, ReQuantizeOutput<RELU, Q_GRAN>>;
#define INSTANTIATE_Q_GRAN(FNAME, RELU) \
INSTANTIATE_BASE(FNAME, RELU, QuantizationGranularity::TENSOR) \
INSTANTIATE_BASE(FNAME, RELU, QuantizationGranularity::GROUP) \
INSTANTIATE_BASE(FNAME, RELU, QuantizationGranularity::OUT_CHANNEL)
#define INSTANTIATE_RELU(FNAME) \
INSTANTIATE_Q_GRAN(FNAME, false) \
INSTANTIATE_Q_GRAN(FNAME, true)
INSTANTIATE_RELU(DoSpmdmOnInpBuffer)
INSTANTIATE_RELU(DoSConvOnInpBuffer)
#undef INSTANTIATE_RELU
#undef INSTANTIATE_Q_GRAN
#undef INSTANTIATE_BASE
template class FBGEMM_API DoSpmdmOnInpBuffer<
float,
std::int32_t,
ReQuantizeForFloat<false, QuantizationGranularity::TENSOR>>;
#define INSTANTIATE_BASE(RELU, Q_GRAN, BIAS_TYPE) \
template class FBGEMM_API ReQuantizeOutput<RELU, Q_GRAN, BIAS_TYPE>;
#define INSTANTIATE_BIAS_T(RELU, Q_GRAN) \
INSTANTIATE_BASE(RELU, Q_GRAN, std::int32_t) \
INSTANTIATE_BASE(RELU, Q_GRAN, float)
#define INSTANTIATE_Q_GRAN(RELU) \
INSTANTIATE_BIAS_T(RELU, QuantizationGranularity::TENSOR) \
INSTANTIATE_BIAS_T(RELU, QuantizationGranularity::GROUP) \
INSTANTIATE_BIAS_T(RELU, QuantizationGranularity::OUT_CHANNEL)
INSTANTIATE_Q_GRAN(false)
INSTANTIATE_Q_GRAN(true)
#undef INSTANTIATE_Q_GRAN
#undef INSTANTIATE_BIAS_T
#undef INSTANTIATE_BASE
// ReQuantizeOutput
#define INSTANTIATE_BASE(PACK_A, ACC_T, RELU, Q_GRAN, BIAS_TYPE) \
template FBGEMM_API void fbgemmPacked( \
PackMatrix<PACK_A<uint8_t, ACC_T>, uint8_t, ACC_T>& packA, \
PackMatrix<PackBMatrix<int8_t, ACC_T>, int8_t, ACC_T>& packB, \
uint8_t* C, \
int32_t* C_buffer, \
uint32_t ldc, \
const ReQuantizeOutput<RELU, Q_GRAN, BIAS_TYPE>& outProcess, \
int thread_id, \
int num_threads, \
const BlockingFactors* blocking_params);
#define INSTANTIATE_BIAS_T(PACK_A, ACC_T, RELU, Q_GRAN) \
INSTANTIATE_BASE(PACK_A, ACC_T, RELU, Q_GRAN, float) \
INSTANTIATE_BASE(PACK_A, ACC_T, RELU, Q_GRAN, int32_t)
#define INSTANTIATE_Q_GRANS(PACK_A, ACC_T, RELU) \
INSTANTIATE_BIAS_T(PACK_A, ACC_T, RELU, QuantizationGranularity::TENSOR) \
INSTANTIATE_BIAS_T(PACK_A, ACC_T, RELU, QuantizationGranularity::GROUP) \
INSTANTIATE_BIAS_T(PACK_A, ACC_T, RELU, QuantizationGranularity::OUT_CHANNEL)
#define INSTANTIATE_RELU(PACK_A, ACC_T) \
INSTANTIATE_Q_GRANS(PACK_A, ACC_T, false) \
INSTANTIATE_Q_GRANS(PACK_A, ACC_T, true)
#define INSTANTIATE_ACC_T(PACK_A) \
INSTANTIATE_RELU(PACK_A, int32_t) \
INSTANTIATE_RELU(PACK_A, int16_t)
INSTANTIATE_ACC_T(PackAMatrix)
INSTANTIATE_ACC_T(PackAWithRowOffset)
#undef INSTANTIATE_ACC_T
#undef INSTANTIATE_RELU
#undef INSTANTIATE_Q_GRANS
#undef INSTANTIATE_BIAS_T
#undef INSTANTIATE_BASE
#define INSTANTIATE_BASE(ACC_T, RELU, SPATIAL_DIM, Q_GRAN, BIAS_TYPE) \
template FBGEMM_API void fbgemmPacked( \
PackMatrix< \
PackAWithIm2Col<uint8_t, ACC_T, SPATIAL_DIM>, \
uint8_t, \
ACC_T>& packA, \
PackMatrix<PackBMatrix<int8_t, ACC_T>, int8_t, ACC_T>& packB, \
uint8_t* C, \
int32_t* C_buffer, \
uint32_t ldc, \
const ReQuantizeOutput<RELU, Q_GRAN, BIAS_TYPE>& outProcess, \
int thread_id, \
int num_threads, \
const BlockingFactors* blocking_params);
#define INSTANTIATE_BIAS_T(ACC_T, RELU, SPATIAL_DIM, Q_GRAN) \
INSTANTIATE_BASE(ACC_T, RELU, SPATIAL_DIM, Q_GRAN, float) \
INSTANTIATE_BASE(ACC_T, RELU, SPATIAL_DIM, Q_GRAN, int32_t)
#define INSTANTIATE_Q_GRANS(ACC_T, RELU, SPATIAL_DIM) \
INSTANTIATE_BIAS_T( \
ACC_T, RELU, SPATIAL_DIM, QuantizationGranularity::TENSOR) \
INSTANTIATE_BIAS_T(ACC_T, RELU, SPATIAL_DIM, QuantizationGranularity::GROUP) \
INSTANTIATE_BIAS_T( \
ACC_T, RELU, SPATIAL_DIM, QuantizationGranularity::OUT_CHANNEL)
#define INSTANTIATE_SPATIAL_DIM(ACC_T, RELU) \
INSTANTIATE_Q_GRANS(ACC_T, RELU, 1) \
INSTANTIATE_Q_GRANS(ACC_T, RELU, 2) \
INSTANTIATE_Q_GRANS(ACC_T, RELU, 3)
#define INSTANTIATE_RELU(ACC_T) \
INSTANTIATE_SPATIAL_DIM(ACC_T, false) \
INSTANTIATE_SPATIAL_DIM(ACC_T, true)
INSTANTIATE_RELU(int32_t)
INSTANTIATE_RELU(int16_t)
#undef INSTANTIATE_RELU
#undef INSTANTIATE_SPATIAL_DIM
#undef INSTANTIATE_Q_GRANS
#undef INSTANTIATE_BIAS_T
#undef INSTANTIATE_BASE
////////////////////////////////////////////////////////////////////////////////
// ReQuantizeForFloat
#define INSTANTIATE_BASE(PACK_A, RELU, Q_GRAN) \
template FBGEMM_API void fbgemmPacked( \
PackMatrix<PACK_A<uint8_t, int32_t>, uint8_t, int32_t>& packA, \
PackMatrix<PackBMatrix<int8_t, int32_t>, int8_t, int32_t>& packB, \
float* C, \
int32_t* C_buffer, \
uint32_t ldc, \
const ReQuantizeForFloat<RELU, Q_GRAN>& outProcess, \
int thread_id, \
int num_threads, \
const BlockingFactors* blocking_params);
#define INSTANTIATE_Q_GRANS(PACK_A, RELU) \
INSTANTIATE_BASE(PACK_A, RELU, QuantizationGranularity::TENSOR) \
INSTANTIATE_BASE(PACK_A, RELU, QuantizationGranularity::GROUP) \
INSTANTIATE_BASE(PACK_A, RELU, QuantizationGranularity::OUT_CHANNEL)
#define INSTANTIATE_RELU(PACK_A) \
INSTANTIATE_Q_GRANS(PACK_A, false) \
INSTANTIATE_Q_GRANS(PACK_A, true)
INSTANTIATE_RELU(PackAWithRowOffset)
INSTANTIATE_RELU(PackAWithQuantRowOffset);
#undef INSTANTIATE_RELU
#undef INSTANTIATE_Q_GRANS
#undef INSTANTIATE_BASE
#define INSTANTIATE_BASE(ACC_T, RELU, SPATIAL_DIM, Q_GRAN) \
template FBGEMM_API void fbgemmPacked( \
PackMatrix< \
PackAWithIm2Col<uint8_t, ACC_T, SPATIAL_DIM>, \
uint8_t, \
ACC_T>& packA, \
PackMatrix<PackBMatrix<int8_t, ACC_T>, int8_t, ACC_T>& packB, \
float* C, \
int32_t* C_buffer, \
uint32_t ldc, \
const ReQuantizeForFloat<RELU, Q_GRAN>& outProcess, \
int thread_id, \
int num_threads, \
const BlockingFactors* blocking_params);
#define INSTANTIATE_Q_GRANS(ACC_T, RELU, SPATIAL_DIM) \
INSTANTIATE_BASE(ACC_T, RELU, SPATIAL_DIM, QuantizationGranularity::TENSOR) \
INSTANTIATE_BASE(ACC_T, RELU, SPATIAL_DIM, QuantizationGranularity::GROUP) \
INSTANTIATE_BASE( \
ACC_T, RELU, SPATIAL_DIM, QuantizationGranularity::OUT_CHANNEL)
#define INSTANTIATE_SPATIAL_DIM(ACC_T, RELU) \
INSTANTIATE_Q_GRANS(ACC_T, RELU, 1) \
INSTANTIATE_Q_GRANS(ACC_T, RELU, 2) \
INSTANTIATE_Q_GRANS(ACC_T, RELU, 3)
#define INSTANTIATE_RELU(ACC_T) \
INSTANTIATE_SPATIAL_DIM(ACC_T, false) \
INSTANTIATE_SPATIAL_DIM(ACC_T, true)
INSTANTIATE_RELU(int32_t)
INSTANTIATE_RELU(int16_t)
#undef INSTANTIATE_RELU
#undef INSTANTIATE_SPATIAL_DIM
#undef INSTANTIATE_Q_GRANS
#undef INSTANTIATE_BASE
template FBGEMM_API void fbgemmPacked(
PackMatrix<PackAWithRowOffset<uint8_t, int16_t>, uint8_t, int16_t>& packA,
PackMatrix<PackBMatrix<int8_t, int16_t>, int8_t, int16_t>& packB,
float* C,
int32_t* C_buffer,
uint32_t ldc,
const ReQuantizeForFloat<false>& outProcess,
int thread_id,
int num_threads,
const BlockingFactors* blocking_params);
////////////////////////////////////////////////////////////////////////////////
// DoSpmdmOnInpBuffer
#define INSTANTIATE_BASE(PACK_A, RELU, Q_GRAN) \
template FBGEMM_API void fbgemmPacked( \
PackMatrix<PACK_A<uint8_t, int16_t>, uint8_t, int16_t>& packA, \
PackMatrix<PackBMatrix<int8_t, int16_t>, int8_t, int16_t>& packB, \
uint8_t* C, \
int32_t* C_buffer, \
uint32_t ldc, \
const DoSpmdmOnInpBuffer< \
uint8_t, \
int32_t, \
ReQuantizeOutput<RELU, Q_GRAN>>& outProcess, \
int thread_id, \
int num_threads, \
const BlockingFactors* blocking_params);
#define INSTANTIATE_Q_GRANS(PACK_A, RELU) \
INSTANTIATE_BASE(PACK_A, RELU, QuantizationGranularity::TENSOR) \
INSTANTIATE_BASE(PACK_A, RELU, QuantizationGranularity::GROUP) \
INSTANTIATE_BASE(PACK_A, RELU, QuantizationGranularity::OUT_CHANNEL)
#define INSTANTIATE_RELU(PACK_A) \
INSTANTIATE_Q_GRANS(PACK_A, false) \
INSTANTIATE_Q_GRANS(PACK_A, true)
INSTANTIATE_RELU(PackAMatrix)
INSTANTIATE_RELU(PackAWithRowOffset)
#undef INSTANTIATE_Q_GRANS
#undef INSTANTIATE_BASE
#undef INSTANTIATE_RELU
#define INSTANTIATE_BASE(RELU, Q_GRAN) \
template FBGEMM_API void fbgemmPacked( \
PackMatrix<PackAWithIm2Col<uint8_t, int16_t>, uint8_t, int16_t>& packA, \
PackMatrix<PackBMatrix<int8_t, int16_t>, int8_t, int16_t>& packB, \
uint8_t* C, \
int32_t* C_buffer, \
uint32_t ldc, \
const DoSConvOnInpBuffer< \
uint8_t, \
int32_t, \
ReQuantizeOutput<RELU, Q_GRAN>>& outProcess, \
int thread_id, \
int num_threads, \
const BlockingFactors* blocking_params);
#define INSTANTIATE_Q_GRANS(RELU) \
INSTANTIATE_BASE(RELU, QuantizationGranularity::TENSOR) \
INSTANTIATE_BASE(RELU, QuantizationGranularity::GROUP) \
INSTANTIATE_BASE(RELU, QuantizationGranularity::OUT_CHANNEL)
INSTANTIATE_Q_GRANS(false)
INSTANTIATE_Q_GRANS(true)
#undef INSTANTIATE_Q_GRANS
#undef INSTANTIATE_BASE
template FBGEMM_API void fbgemmPacked(
PackMatrix<PackAWithRowOffset<uint8_t, int16_t>, uint8_t, int16_t>& packA,
PackMatrix<PackBMatrix<int8_t, int16_t>, int8_t, int16_t>& packB,
float* C,
int32_t* C_buffer,
uint32_t ldc,
const DoSpmdmOnInpBuffer<float, int32_t, ReQuantizeForFloat<false>>&
outProcess,
int thread_id,
int num_threads,
const BlockingFactors* blocking_params);
////////////////////////////////////////////////////////////////////////////////
// memCopy
#define INSTANTIATE_BASE(PACK_A, ACC_T) \
template FBGEMM_API void fbgemmPacked( \
PackMatrix<PACK_A<uint8_t, ACC_T>, uint8_t, ACC_T>& packA, \
PackMatrix<PackBMatrix<int8_t, ACC_T>, int8_t, ACC_T>& packB, \
int32_t* C, \
int32_t* C_buffer, \
uint32_t ldc, \
const memCopy<>& outProcess, \
int thread_id, \
int num_threads, \
const BlockingFactors* blocking_params);
#define INSTANTIATE_ACC_T(PACK_A) \
INSTANTIATE_BASE(PACK_A, int32_t) \
INSTANTIATE_BASE(PACK_A, int16_t)
INSTANTIATE_ACC_T(PackAMatrix)
INSTANTIATE_ACC_T(PackAWithRowOffset)
#undef INSTANTIATE_ACC_T
#undef INSTANTIATE_BASE
#define INSTANTIATE_BASE(ACC_T, SPATIAL_DIM) \
template FBGEMM_API void fbgemmPacked( \
PackMatrix< \
PackAWithIm2Col<uint8_t, ACC_T, SPATIAL_DIM>, \
uint8_t, \
ACC_T>& packA, \
PackMatrix<PackBMatrix<int8_t, ACC_T>, int8_t, ACC_T>& packB, \
int32_t* C, \
int32_t* C_buffer, \
uint32_t ldc, \
const memCopy<>& outProcess, \
int thread_id, \
int num_threads, \
const BlockingFactors* blocking_params);
#define INSTANTIATE_SPATIAL_DIM(ACC_T) \
INSTANTIATE_BASE(ACC_T, 1) \
INSTANTIATE_BASE(ACC_T, 2) \
INSTANTIATE_BASE(ACC_T, 3)
INSTANTIATE_SPATIAL_DIM(int32_t)
INSTANTIATE_SPATIAL_DIM(int16_t)
#undef INSTANTIATE_SPATIAL_DIM
#undef INSTANTIATE_BASE
template FBGEMM_API void fbgemmPacked(
PackMatrix<PackAWithQuantRowOffset<uint8_t, int32_t>, uint8_t, int32_t>&
packA,
PackMatrix<PackBMatrix<int8_t, int32_t>, int8_t, int32_t>& packB,
int32_t* C,
int32_t* C_buffer,
uint32_t ldc,
const memCopy<>& outProcess,
int thread_id,
int num_threads,
const BlockingFactors* blocking_params);
template FBGEMM_API void fbgemmPacked(
PackMatrix<PackAMatrix<uint8_t, int16_t>, uint8_t, int16_t>& packA,
PackMatrix<PackBMatrix<int8_t, int16_t>, int8_t, int16_t>& packB,
int32_t* C,
int32_t* C_buffer,
uint32_t ldc,
const DoNothing<int32_t, int32_t>& outProcess,
int thread_id,
int num_threads,
const BlockingFactors* blocking_params);
} // namespace fbgemm