mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-13 09:45:56 +00:00
Fix bug of layernorm ckProfiler and refine code (#448)
* Fix bug of profiler for layernorm * 1. Rename layernorm into normalization 2. Decouple softmax from normalization * clang-format
This commit is contained in:
rocking5566
173
profiler/src/profile_softmax.cpp
Normal file
173
profiler/src/profile_softmax.cpp
Normal file
@@ -0,0 +1,173 @@
|
||||
// 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_softmax_impl.hpp"
|
||||
|
||||
using ck::index_t;
|
||||
using ck::profiler::NormDataType;
|
||||
using ck::profiler::NormType;
|
||||
|
||||
struct ArgParser
|
||||
{
|
||||
std::unordered_map<std::string, NormType> norm_dict = {{"batchnorm", NormType::BATCHNORM},
|
||||
{"softmax", NormType::SOFTMAX}};
|
||||
|
||||
std::unordered_map<std::string, std::vector<int>> long_opts = {
|
||||
{"length", {}}, {"stride", {}}, {"reduce", {}}, {"alpha", {}}, {"beta", {}}};
|
||||
|
||||
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()
|
||||
{
|
||||
std::cout << "arg1: tensor operation (batchnorm/softmax)\n"
|
||||
<< "arg2: data type (0: fp32; 1: fp16; 2: bf16; 3: int8)\n"
|
||||
<< "arg3: verification (0: no; 1: yes)\n"
|
||||
<< "arg4: initialization (0: no init; 1: integer value; 2: decimal value)\n"
|
||||
<< "arg5: print tensor value (0: no; 1: yes)\n"
|
||||
<< "arg6: time kernel (0=n0, 1=yes)\n"
|
||||
<< "--length: tensor extents (e.g, --length 8 4 256) \n"
|
||||
<< "--stride: tensor strides (e.g, --stride 1024 256 1)\n"
|
||||
<< "--reduce: to-reduce dimensions (e.g, --reduce 2)\n"
|
||||
<< "--alpha: alpha scaling value\n"
|
||||
<< "--beta: beta scaling value\n"
|
||||
<< std::endl;
|
||||
}
|
||||
|
||||
int profile_normalization(int argc, char* argv[])
|
||||
{
|
||||
if(argc <= 2)
|
||||
{
|
||||
print_help();
|
||||
return 0;
|
||||
}
|
||||
|
||||
ArgParser arg_parser;
|
||||
|
||||
// short unnamed options
|
||||
const NormType norm_type = arg_parser.norm_dict[argv[1]];
|
||||
const NormDataType data_type = static_cast<NormDataType>(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> stride = arg_parser.long_opts["stride"];
|
||||
const std::vector<index_t> reduce = arg_parser.long_opts["reduce"];
|
||||
const index_t alpha =
|
||||
arg_parser.long_opts["alpha"].empty() ? 1 : arg_parser.long_opts["alpha"][0];
|
||||
const index_t beta = arg_parser.long_opts["beta"].empty() ? 0 : arg_parser.long_opts["beta"][0];
|
||||
|
||||
if(length.size() == 3)
|
||||
{
|
||||
if(data_type == NormDataType::F16_F16)
|
||||
{
|
||||
ck::profiler::profile_softmax_impl<ck::half_t, float, ck::half_t, 3>(do_verification,
|
||||
init_method,
|
||||
do_log,
|
||||
time_kernel,
|
||||
length,
|
||||
stride,
|
||||
reduce,
|
||||
float(alpha),
|
||||
float(beta),
|
||||
norm_type);
|
||||
}
|
||||
else if(data_type == NormDataType::F32_F32)
|
||||
{
|
||||
ck::profiler::profile_softmax_impl<float, float, float, 3>(do_verification,
|
||||
init_method,
|
||||
do_log,
|
||||
time_kernel,
|
||||
length,
|
||||
stride,
|
||||
reduce,
|
||||
float(alpha),
|
||||
float(beta),
|
||||
norm_type);
|
||||
}
|
||||
else
|
||||
{
|
||||
throw std::runtime_error("not implemented yet");
|
||||
}
|
||||
}
|
||||
else if(length.size() == 4)
|
||||
{
|
||||
if(data_type == NormDataType::F16_F16)
|
||||
{
|
||||
ck::profiler::profile_softmax_impl<ck::half_t, float, ck::half_t, 4>(do_verification,
|
||||
init_method,
|
||||
do_log,
|
||||
time_kernel,
|
||||
length,
|
||||
stride,
|
||||
reduce,
|
||||
float(alpha),
|
||||
float(beta),
|
||||
norm_type);
|
||||
}
|
||||
else if(data_type == NormDataType::F32_F32)
|
||||
{
|
||||
ck::profiler::profile_softmax_impl<float, float, float, 4>(do_verification,
|
||||
init_method,
|
||||
do_log,
|
||||
time_kernel,
|
||||
length,
|
||||
stride,
|
||||
reduce,
|
||||
float(alpha),
|
||||
float(beta),
|
||||
norm_type);
|
||||
}
|
||||
else
|
||||
{
|
||||
throw std::runtime_error("not implemented yet");
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
throw std::runtime_error("not implemented yet");
|
||||
}
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
// hijack main() for quick debugging
|
||||
// int main(int argc, char* argv[])
|
||||
// {
|
||||
// profile_normalization(argc, argv);
|
||||
// return 0;
|
||||
// }
|
||||
Reference in New Issue
Block a user