mirror of
https://github.com/ROCm/composable_kernel.git
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Add performance tests as a stage of CI. (#247)
* modify ckProfiler_gemm output
* fix syntax
* change ckProfiler output and return 0
* fix syntax
* output datatype
* fix syntax
* output datatype in another way
* fix syntax
* fix syntax
* test return values of ckProfiler
* add layout info and tests, make sure ckprofiler returns 0
* fix syntax
* change layout output
* fix syntax
* fix syntax again
* update script to process perf results
* rearrange jenkins stages
* fix typo
* add python packages to Docker file
* adding setuptools-rust package
* modify parsing for new test parameters
* test db credentials on jenkins
* fix syntax
* update python script to handle incomplete lines
* ungrade python to 3.8 and write the gemm_params table
* add sqlalchemy package to docker
* move perf data processing to master node
* move the master node inside a steps region
* add new stage for result processing
* move results processing to separate stage
* reduce number of tests to speedup debugging
* pass config to processPerfResults stage
* run script on master in a docker container
* replace show_node_info
* try loading docker on master node again
* use ansible node instead of master
* get rid of pymysql package
* try ssh connection using paramiko
* put back pymysql
* put the perf data processing back on the gpu node
* put back artifact definition
* archive the perf_log before parsing
* clean up jenkinsfile, fix parsing
* fix typo
* enable all perf tests
* put all stages in original order, finalize script
* fix gpu_arch version
* update parsing script
* remove obsolete file causing merge conflict
[ROCm/composable_kernel commit: 1085794df3]
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@@ -1,5 +1,7 @@
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#pragma once
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#include <iomanip>
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#include <iostream>
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#include <typeinfo>
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#include "check_err.hpp"
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#include "config.hpp"
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@@ -527,8 +529,45 @@ void profile_gemm_impl(int do_verification,
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}
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}
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std::cout << "Best Perf: " << best_ave_time << " ms, " << best_tflops << " TFlops, "
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<< best_gb_per_sec << " GB/s, " << best_gemm_name << std::endl;
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if constexpr(is_same<CDataType, float>::value)
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{
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std::cout << "Best Perf for datatype = f32";
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}
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else if constexpr(is_same<CDataType, half_t>::value)
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{
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std::cout << "Best Perf for datatype = f16";
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}
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else if constexpr(is_same<CDataType, bhalf_t>::value)
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{
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std::cout << "Best Perf for datatype = bf16";
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}
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else if constexpr(is_same<CDataType, int8_t>::value)
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{
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std::cout << "Best Perf for datatype = int8";
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}
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if constexpr(is_same<ALayout, tensor_layout::gemm::RowMajor>::value)
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{
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std::cout << " ALayout = RowMajor";
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}
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else if constexpr(is_same<ALayout, tensor_layout::gemm::ColumnMajor>::value)
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{
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std::cout << " ALayout = ColumnMajor";
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}
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if constexpr(is_same<BLayout, tensor_layout::gemm::RowMajor>::value)
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{
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std::cout << " BLayout = RowMajor";
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}
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else if constexpr(is_same<BLayout, tensor_layout::gemm::ColumnMajor>::value)
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{
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std::cout << " BLayout = ColumnMajor";
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}
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std::cout << " M = " << M << " N = " << N << " K = " << K << " StrideA = " << StrideA
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<< " StrideB = " << StrideB << " StrideC = " << StrideC << " : " << best_ave_time
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<< " ms, " << best_tflops << " TFlops, " << best_gb_per_sec << " GB/s, "
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<< best_gemm_name << std::endl;
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}
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} // namespace profiler
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