mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-12 01:10:17 +00:00
32d4be3d09
* add support for mixed precision bf16&int8 grouped gemm * fix gfx versions and add bf16 kbatch condition * added reviewers comments
304 lines
10 KiB
C++
304 lines
10 KiB
C++
// SPDX-License-Identifier: MIT
|
|
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
|
|
|
|
#include <iostream>
|
|
#include <numeric>
|
|
#include <initializer_list>
|
|
#include <cstdlib>
|
|
|
|
#include "profiler/profile_grouped_gemm_fixed_nk_impl.hpp"
|
|
#include "profiler_operation_registry.hpp"
|
|
|
|
enum struct GemmMatrixLayout
|
|
{
|
|
MK_KN_MN, // 0
|
|
MK_NK_MN, // 1
|
|
};
|
|
|
|
enum struct GemmDataType
|
|
{
|
|
BF16_I8_BF16, // 0
|
|
F16_F16_F16, // 1
|
|
F16_F8_F16, // 2
|
|
F16_I8_F16, // 3
|
|
|
|
};
|
|
|
|
#define OP_NAME "grouped_gemm_fixed_nk"
|
|
#define OP_DESC "Grouped GEMM Fixed NK"
|
|
|
|
namespace {
|
|
|
|
std::vector<int> argToIntArray(char* input)
|
|
{
|
|
std::vector<int> out;
|
|
|
|
std::istringstream in(input);
|
|
|
|
std::string item;
|
|
|
|
while(std::getline(in, item, ','))
|
|
{
|
|
out.push_back(std::stoi(item));
|
|
}
|
|
|
|
return out;
|
|
}
|
|
|
|
int profile_grouped_gemm_fixed_nk(int argc, char* argv[])
|
|
{
|
|
if(argc < 14)
|
|
{
|
|
std::cout
|
|
<< "arg1: tensor operation (" OP_NAME ": " OP_DESC ")\n"
|
|
<< "arg2: data type (0: bf16@int8; 1: fp16; 2: fp16@fp8; 3: fp16@int8)\n"
|
|
<< "arg3: matrix layout (0: A[m, k] * B[k, n] = C[m, n];\n"
|
|
<< " 1: A[m, k] * B[n, k] = C[m, n];\n"
|
|
<< "arg4: verification (0: no; 1: yes)\n"
|
|
<< "arg5: initialization (0: no init; 1: integer value; 2: decimal value)\n"
|
|
<< "arg6: print tensor value (0: no; 1: yes)\n"
|
|
<< "arg7: time kernel (0=n0, 1=yes)\n"
|
|
<< "arg8 to 13: Ms, Ns, Ks, StrideAs, StrideBs, StrideCs (e.g., 256,256 128,128 64,64 "
|
|
"64,64 64,64 128,128)\n"
|
|
<< "arg15: kbatch value (default 1)\n"
|
|
<< "optional:\n"
|
|
<< "arg16: number of warm-up cycles (default 1)\n"
|
|
<< "arg17: number of iterations (default 10)\n"
|
|
<< std::endl;
|
|
|
|
exit(1);
|
|
}
|
|
|
|
const auto data_type = static_cast<GemmDataType>(std::stoi(argv[2]));
|
|
const auto layout = static_cast<GemmMatrixLayout>(std::stoi(argv[3]));
|
|
const bool do_verification = std::stoi(argv[4]);
|
|
const int init_method = std::stoi(argv[5]);
|
|
const bool do_log = std::stoi(argv[6]);
|
|
const bool time_kernel = std::stoi(argv[7]);
|
|
|
|
const auto Ms = argToIntArray(argv[8]);
|
|
const auto Ns = argToIntArray(argv[9]);
|
|
const auto Ks = argToIntArray(argv[10]);
|
|
|
|
const auto StrideAs = argToIntArray(argv[11]);
|
|
const auto StrideBs = argToIntArray(argv[12]);
|
|
const auto StrideCs = argToIntArray(argv[13]);
|
|
const int kbatch = argc == 15 ? std::stoi(argv[14]) : 1;
|
|
|
|
using F32 = float;
|
|
using F16 = ck::half_t;
|
|
using F8 = ck::f8_t;
|
|
using BF16 = ck::bhalf_t;
|
|
using I8 = int8_t;
|
|
|
|
int n_warmup = 1;
|
|
int n_iter = 10;
|
|
if(argc == 17)
|
|
{
|
|
n_warmup = std::stoi(argv[16]);
|
|
n_iter = std::stoi(argv[17]);
|
|
}
|
|
|
|
#if defined(CK_ENABLE_BF16) && defined(CK_ENABLE_INT8)
|
|
if(data_type == GemmDataType::BF16_I8_BF16 && layout == GemmMatrixLayout::MK_KN_MN)
|
|
{
|
|
ck::profiler::profile_grouped_gemm_fixed_nk_impl<BF16,
|
|
I8,
|
|
BF16,
|
|
F32,
|
|
ck::tensor_layout::gemm::RowMajor,
|
|
ck::tensor_layout::gemm::RowMajor,
|
|
ck::tensor_layout::gemm::RowMajor>(
|
|
do_verification,
|
|
init_method,
|
|
do_log,
|
|
time_kernel,
|
|
Ms,
|
|
Ns,
|
|
Ks,
|
|
StrideAs,
|
|
StrideBs,
|
|
StrideCs,
|
|
kbatch,
|
|
n_warmup,
|
|
n_iter);
|
|
}
|
|
else if(data_type == GemmDataType::BF16_I8_BF16 && layout == GemmMatrixLayout::MK_NK_MN)
|
|
{
|
|
ck::profiler::profile_grouped_gemm_fixed_nk_impl<BF16,
|
|
I8,
|
|
BF16,
|
|
F32,
|
|
ck::tensor_layout::gemm::RowMajor,
|
|
ck::tensor_layout::gemm::ColumnMajor,
|
|
ck::tensor_layout::gemm::RowMajor>(
|
|
do_verification,
|
|
init_method,
|
|
do_log,
|
|
time_kernel,
|
|
Ms,
|
|
Ns,
|
|
Ks,
|
|
StrideAs,
|
|
StrideBs,
|
|
StrideCs,
|
|
kbatch,
|
|
n_warmup,
|
|
n_iter);
|
|
}
|
|
#endif
|
|
#if defined(CK_ENABLE_FP16)
|
|
else if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::MK_KN_MN)
|
|
{
|
|
ck::profiler::profile_grouped_gemm_fixed_nk_impl<F16,
|
|
F16,
|
|
F16,
|
|
F32,
|
|
ck::tensor_layout::gemm::RowMajor,
|
|
ck::tensor_layout::gemm::RowMajor,
|
|
ck::tensor_layout::gemm::RowMajor>(
|
|
do_verification,
|
|
init_method,
|
|
do_log,
|
|
time_kernel,
|
|
Ms,
|
|
Ns,
|
|
Ks,
|
|
StrideAs,
|
|
StrideBs,
|
|
StrideCs,
|
|
kbatch,
|
|
n_warmup,
|
|
n_iter);
|
|
}
|
|
else if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::MK_NK_MN)
|
|
{
|
|
ck::profiler::profile_grouped_gemm_fixed_nk_impl<F16,
|
|
F16,
|
|
F16,
|
|
F32,
|
|
ck::tensor_layout::gemm::RowMajor,
|
|
ck::tensor_layout::gemm::ColumnMajor,
|
|
ck::tensor_layout::gemm::RowMajor>(
|
|
do_verification,
|
|
init_method,
|
|
do_log,
|
|
time_kernel,
|
|
Ms,
|
|
Ns,
|
|
Ks,
|
|
StrideAs,
|
|
StrideBs,
|
|
StrideCs,
|
|
kbatch,
|
|
n_warmup,
|
|
n_iter);
|
|
}
|
|
#endif
|
|
#if defined(CK_ENABLE_FP16) && defined(CK_ENABLE_FP8)
|
|
else if(data_type == GemmDataType::F16_F8_F16 && layout == GemmMatrixLayout::MK_KN_MN)
|
|
{
|
|
ck::profiler::profile_grouped_gemm_fixed_nk_impl<F16,
|
|
F8,
|
|
F16,
|
|
F32,
|
|
ck::tensor_layout::gemm::RowMajor,
|
|
ck::tensor_layout::gemm::RowMajor,
|
|
ck::tensor_layout::gemm::RowMajor>(
|
|
do_verification,
|
|
init_method,
|
|
do_log,
|
|
time_kernel,
|
|
Ms,
|
|
Ns,
|
|
Ks,
|
|
StrideAs,
|
|
StrideBs,
|
|
StrideCs,
|
|
kbatch,
|
|
n_warmup,
|
|
n_iter);
|
|
}
|
|
else if(data_type == GemmDataType::F16_F8_F16 && layout == GemmMatrixLayout::MK_NK_MN)
|
|
{
|
|
ck::profiler::profile_grouped_gemm_fixed_nk_impl<F16,
|
|
F8,
|
|
F16,
|
|
F32,
|
|
ck::tensor_layout::gemm::RowMajor,
|
|
ck::tensor_layout::gemm::ColumnMajor,
|
|
ck::tensor_layout::gemm::RowMajor>(
|
|
do_verification,
|
|
init_method,
|
|
do_log,
|
|
time_kernel,
|
|
Ms,
|
|
Ns,
|
|
Ks,
|
|
StrideAs,
|
|
StrideBs,
|
|
StrideCs,
|
|
kbatch,
|
|
n_warmup,
|
|
n_iter);
|
|
}
|
|
#endif
|
|
#if defined(CK_ENABLE_FP16) && defined(CK_ENABLE_INT8)
|
|
else if(data_type == GemmDataType::F16_I8_F16 && layout == GemmMatrixLayout::MK_KN_MN)
|
|
{
|
|
ck::profiler::profile_grouped_gemm_fixed_nk_impl<F16,
|
|
I8,
|
|
F16,
|
|
F32,
|
|
ck::tensor_layout::gemm::RowMajor,
|
|
ck::tensor_layout::gemm::RowMajor,
|
|
ck::tensor_layout::gemm::RowMajor>(
|
|
do_verification,
|
|
init_method,
|
|
do_log,
|
|
time_kernel,
|
|
Ms,
|
|
Ns,
|
|
Ks,
|
|
StrideAs,
|
|
StrideBs,
|
|
StrideCs,
|
|
kbatch,
|
|
n_warmup,
|
|
n_iter);
|
|
}
|
|
else if(data_type == GemmDataType::F16_I8_F16 && layout == GemmMatrixLayout::MK_NK_MN)
|
|
{
|
|
ck::profiler::profile_grouped_gemm_fixed_nk_impl<F16,
|
|
I8,
|
|
F16,
|
|
F32,
|
|
ck::tensor_layout::gemm::RowMajor,
|
|
ck::tensor_layout::gemm::ColumnMajor,
|
|
ck::tensor_layout::gemm::RowMajor>(
|
|
do_verification,
|
|
init_method,
|
|
do_log,
|
|
time_kernel,
|
|
Ms,
|
|
Ns,
|
|
Ks,
|
|
StrideAs,
|
|
StrideBs,
|
|
StrideCs,
|
|
1,
|
|
n_warmup,
|
|
n_iter);
|
|
}
|
|
#endif
|
|
else
|
|
{
|
|
throw std::runtime_error("wrong! this GEMM data_type & layout is not implemented");
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
} // anonymous namespace
|
|
|
|
REGISTER_PROFILER_OPERATION(OP_NAME, OP_DESC, profile_grouped_gemm_fixed_nk);
|