ckProfiler for layernorm (#330)

* Refine parameter

* Add base class for layernorm

* Add layernorm instance

* Add layernorm to ckProfiler

* Remove redundant

* Add verification

* Fix compile error due to merge
This commit is contained in:
rocking5566
2022-08-12 06:03:54 +08:00
committed by GitHub
parent e08d68d25d
commit fdfd7eb597
12 changed files with 544 additions and 21 deletions

View File

@@ -0,0 +1,123 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include <vector>
#include <unordered_map>
#include "profiler/include/profile_layernorm_impl.hpp"
using ck::index_t;
struct LayernormArgParser
{
std::unordered_map<std::string, std::vector<int>> long_opts = {
{"length", {}}, {"strideXY", {}}, {"strideGamma", {}}, {"strideBeta", {}}};
bool parse_opt(int argc, char* argv[], const std::string& key, int i)
{
if(std::string("--") + key == argv[i])
{
int pos = i;
while(++i < argc && argv[i][0] != '-') {}
int end = i;
for(int j = pos + 1; j < end; j++)
{
long_opts[key].push_back(std::stoi(argv[j]));
}
return true;
}
return false;
}
void operator()(int argc, char* argv[])
{
for(auto& kv : long_opts)
{
for(int i = 1; i < argc; i++)
{
if(parse_opt(argc, argv, kv.first, i))
break;
}
}
}
};
void print_help_layernorm()
{
std::cout << "arg1: data type (0: fp16; 1: fp32)\n"
<< "arg2: verification (0: no; 1: yes)\n"
<< "arg3: initialization (0: no init; 1: integer value; 2: decimal value)\n"
<< "arg4: print tensor value (0: no; 1: yes)\n"
<< "arg5: time kernel (0=n0, 1=yes)\n"
<< "--length: tensor extents (e.g, --length 1024 1024) \n"
<< "--strideXY: tensor strides (e.g, --strideXY 1024 1)\n"
<< "--strideGamma: tensor strides (e.g, --strideGamma 1)\n"
<< "--strideBeta: tensor strides (e.g, --strideBeta 1)\n"
<< std::endl;
}
int profile_layernorm(int argc, char* argv[])
{
if(argc <= 2)
{
print_help_layernorm();
return 0;
}
LayernormArgParser arg_parser;
// short unnamed options
const ck::DataTypeEnum data_type = static_cast<ck::DataTypeEnum>(std::stoi(argv[2]));
const bool do_verification = std::stoi(argv[3]);
const int init_method = std::stoi(argv[4]);
const bool do_log = std::stoi(argv[5]);
const bool time_kernel = std::stoi(argv[6]);
// parse the long options
arg_parser(argc, argv);
const std::vector<index_t> length = arg_parser.long_opts["length"];
const std::vector<index_t> strideXY = arg_parser.long_opts["strideXY"];
const std::vector<index_t> strideGamma = arg_parser.long_opts["strideGamma"];
const std::vector<index_t> strideBeta = arg_parser.long_opts["strideBeta"];
using F16 = ck::half_t;
using F32 = float;
constexpr int rank = 2;
if(data_type == ck::DataTypeEnum::Half)
{
ck::profiler::profile_layernorm_impl<F16, F16, F16, F32, F16, rank>(do_verification,
init_method,
do_log,
time_kernel,
length,
strideXY,
strideGamma,
strideBeta);
}
else if(data_type == ck::DataTypeEnum::Float)
{
ck::profiler::profile_layernorm_impl<F32, F32, F32, F32, F32, rank>(do_verification,
init_method,
do_log,
time_kernel,
length,
strideXY,
strideGamma,
strideBeta);
}
else
{
throw std::runtime_error("not implemented yet");
}
return 0;
}
// hijack main() for quick debugging
// int main(int argc, char* argv[])
// {
// profile_layernorm(argc, argv);
// return 0;
// }