mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-07-15 03:30:11 +00:00
* refactor
* start
* add device gemm file
* add BatchStrideD0
* add stridd0
* add gridwise file
* add d0 parameters to gridwise gemm
* add c layout transformer
* add d0 threadwise copy
* init kernel
* init kernel
* regular code
* nm desc put to out
* kernel parameter can not use reference
* host add bias+gelu
* run right for bias+gelu
* change AddFastGelu into another file
* interface add d1 bias parameters
* add d1 parameter to argument
* add d1 parameter to gridwise
* first all code,not verify
* gelu change to relu and GetElementSpaceSize bug
* add instance
* start add to ckprofiler
* ckprofiler finish code
* change input parameter for ckProfiler
* fix host bias+gelu bug
* show help for ckProfiler
* fix bug for lunch kernel ignore parametes
* add pad and fix about bug
* mutiple d0
* add dynamic d0_element_op
* change profiler and instance to mutiple d0
* example have 2 d0
* remove some comments not using
* change 2 d0 have self parameters
* change d element_op name
* change class name(multiple_d)
* fix bug
* fix bug that don't find file
* update profiler
* refactor
* update profiler
* clean
* revert example change
* add gon layout
* optimize parameter for gno
* add gon to gemm+gemm
* change helping input parameters
* change to GemmPadder_v2
* using ForEach
* fix gb_per_sec
Co-authored-by: Chao Liu <lc.roy86@gmail.com>
Co-authored-by: ltqin <letaoqin@amd.com>
[ROCm/composable_kernel commit: 370efa6c08]
182 lines
6.3 KiB
C++
182 lines
6.3 KiB
C++
// SPDX-License-Identifier: MIT
|
|
// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
|
|
|
|
#include <iostream>
|
|
#include <numeric>
|
|
#include <initializer_list>
|
|
#include <cstdlib>
|
|
|
|
#include "profiler/include/profile_batched_gemm_gemm_impl.hpp"
|
|
|
|
using F16 = ck::half_t;
|
|
using F32 = float;
|
|
|
|
using Row = ck::tensor_layout::gemm::RowMajor;
|
|
using Col = ck::tensor_layout::gemm::ColumnMajor;
|
|
|
|
int profile_batched_gemm_gemm(int argc, char* argv[])
|
|
{
|
|
enum struct GemmMatrixLayout
|
|
{
|
|
MK_NK_NO_MO, // 0
|
|
MK_NK_ON_MO, // 0
|
|
};
|
|
|
|
enum struct GemmDataType
|
|
{
|
|
F32_F32_F32_F32, // 0
|
|
F16_F16_F16_F16, // 1
|
|
};
|
|
|
|
GemmDataType data_type = GemmDataType::F16_F16_F16_F16;
|
|
GemmMatrixLayout layout = GemmMatrixLayout::MK_NK_NO_MO;
|
|
bool do_verification = true;
|
|
int init_method = 1;
|
|
bool do_log = 0;
|
|
bool time_kernel = false;
|
|
|
|
// GEMM shape
|
|
ck::index_t M = 1024;
|
|
ck::index_t N = 1024;
|
|
ck::index_t K = 64;
|
|
ck::index_t O = 128;
|
|
ck::index_t BatchCount = 4;
|
|
ck::index_t StrideA0 = -1;
|
|
ck::index_t StrideB0 = -1;
|
|
ck::index_t StrideB1 = -1;
|
|
ck::index_t StrideE1 = -1;
|
|
ck::index_t BatchStrideA0 = -1;
|
|
ck::index_t BatchStrideB0 = -1;
|
|
ck::index_t BatchStrideB1 = -1;
|
|
ck::index_t BatchStrideE1 = -1;
|
|
|
|
if(argc == 8)
|
|
{
|
|
data_type = static_cast<GemmDataType>(std::stoi(argv[2]));
|
|
layout = static_cast<GemmMatrixLayout>(std::stoi(argv[3]));
|
|
do_verification = std::stoi(argv[4]);
|
|
init_method = std::stoi(argv[5]);
|
|
do_log = std::stoi(argv[6]);
|
|
time_kernel = std::stoi(argv[7]);
|
|
}
|
|
else if(argc == 13)
|
|
{
|
|
data_type = static_cast<GemmDataType>(std::stoi(argv[2]));
|
|
layout = static_cast<GemmMatrixLayout>(std::stoi(argv[3]));
|
|
do_verification = std::stoi(argv[4]);
|
|
init_method = std::stoi(argv[5]);
|
|
do_log = std::stoi(argv[6]);
|
|
time_kernel = std::stoi(argv[7]);
|
|
|
|
M = std::stoi(argv[8]);
|
|
N = std::stoi(argv[9]);
|
|
K = std::stoi(argv[10]);
|
|
O = std::stoi(argv[11]);
|
|
BatchCount = std::stoi(argv[12]);
|
|
}
|
|
else if(argc == 21)
|
|
{
|
|
data_type = static_cast<GemmDataType>(std::stoi(argv[2]));
|
|
layout = static_cast<GemmMatrixLayout>(std::stoi(argv[3]));
|
|
do_verification = std::stoi(argv[4]);
|
|
init_method = std::stoi(argv[5]);
|
|
do_log = std::stoi(argv[6]);
|
|
time_kernel = std::stoi(argv[7]);
|
|
|
|
M = std::stoi(argv[8]);
|
|
N = std::stoi(argv[9]);
|
|
K = std::stoi(argv[10]);
|
|
O = std::stoi(argv[11]);
|
|
BatchCount = std::stoi(argv[12]);
|
|
|
|
StrideA0 = std::stoi(argv[13]);
|
|
StrideB0 = std::stoi(argv[14]);
|
|
StrideB1 = std::stoi(argv[15]);
|
|
StrideE1 = std::stoi(argv[16]);
|
|
|
|
BatchStrideA0 = std::stoi(argv[17]);
|
|
BatchStrideB0 = std::stoi(argv[18]);
|
|
BatchStrideB1 = std::stoi(argv[19]);
|
|
BatchStrideE1 = std::stoi(argv[20]);
|
|
}
|
|
else
|
|
{
|
|
printf("arg1: tensor operation (batched_gemm_gemm: Batched_GEMM+Gemm)\n");
|
|
printf("arg2: data type (1: fp16)\n");
|
|
printf("arg3: matrix layout (0: Relu(A0[m, k] * B0[n, k] + D0[m, n]) * B1[n, o] + D1[m, o] "
|
|
"= E1[m, o]; 1: Relu(A0[m, k] * B0[n, k] + D0[m, n]) * B1[o, n] + D1[m, o] = E1[m, "
|
|
"o];)\n");
|
|
printf("arg4: verification (0: no; 1: yes)\n");
|
|
printf("arg5: initialization (0: no init; 1: integer value; 2: decimal value)\n");
|
|
printf("arg6: print tensor value (0: no; 1: yes)\n");
|
|
printf("arg7: time kernel (0=no, 1=yes)\n");
|
|
printf("arg8 to 12: M, N, K, O, Batch\n");
|
|
printf("arg13 to 16: StrideA0, StrideB0, StrideB1, StrideE1\n");
|
|
printf("arg17 to 20: BatchStrideA0, BatchStrideB0, BatchStrideB1, BatchStrideE1 \n");
|
|
exit(1);
|
|
}
|
|
|
|
if(data_type == GemmDataType::F16_F16_F16_F16 && layout == GemmMatrixLayout::MK_NK_NO_MO)
|
|
{
|
|
ck::profiler::profile_batched_gemm_gemm_impl<F16, // A0DataType,
|
|
F16, // B0DataType,
|
|
F16, // B1DataType,
|
|
F16, // E1DataType,
|
|
Row, // A0Layout,
|
|
Col, // B0Layout,
|
|
Row, // B1Layout,
|
|
Row> // E1Layout,
|
|
(do_verification,
|
|
init_method,
|
|
do_log,
|
|
time_kernel,
|
|
M,
|
|
N,
|
|
K,
|
|
O,
|
|
BatchCount,
|
|
StrideA0,
|
|
StrideB0,
|
|
StrideB1,
|
|
StrideE1,
|
|
BatchStrideA0,
|
|
BatchStrideB0,
|
|
BatchStrideB1,
|
|
BatchStrideE1);
|
|
}
|
|
else if(data_type == GemmDataType::F16_F16_F16_F16 && layout == GemmMatrixLayout::MK_NK_ON_MO)
|
|
{
|
|
ck::profiler::profile_batched_gemm_gemm_impl<F16, // A0DataType,
|
|
F16, // B0DataType,
|
|
F16, // B1DataType,
|
|
F16, // E1DataType,
|
|
Row, // A0Layout,
|
|
Col, // B0Layout,
|
|
Col, // B1Layout,
|
|
Row> // E1Layout,
|
|
(do_verification,
|
|
init_method,
|
|
do_log,
|
|
time_kernel,
|
|
M,
|
|
N,
|
|
K,
|
|
O,
|
|
BatchCount,
|
|
StrideA0,
|
|
StrideB0,
|
|
StrideB1,
|
|
StrideE1,
|
|
BatchStrideA0,
|
|
BatchStrideB0,
|
|
BatchStrideB1,
|
|
BatchStrideE1);
|
|
}
|
|
else
|
|
{
|
|
throw std::runtime_error("wrong! this data_type & layout is not implemented");
|
|
}
|
|
|
|
return 0;
|
|
}
|