// Copyright (c) Advanced Micro Devices, Inc., or its affiliates. // SPDX-License-Identifier: MIT #include #include #include #include #include #include #include #include "ck_tile/core.hpp" #include "ck_tile/host.hpp" #include "ck_tile/ops/common/utils.hpp" #include "gemm_profiler.hpp" #include "gemm_common.hpp" // The kernel header is included via the compile command line with -include flag // It defines SelectedKernel struct and KERNEL_NAME // Create argument parser inline auto create_args(int argc, char* argv[]) { ck_tile::ArgParser arg_parser; arg_parser.insert("m", "3840", "The value for m dimension. Default is 3840.") .insert("n", "4096", "The value for n dimension. Default is 4096.") .insert("k", "2048", "The value for k dimension. Default is 2048.") .insert("stride_a", "0", "The stride value for tensor A. Default is 0.") .insert("stride_b", "0", "The stride value for tensor B. Default is 0.") .insert("stride_c", "0", "The stride value for tensor C. Default is 0.") .insert("split_k", "1", "The split value for k dimension. Default is 1.") .insert("verify", "2", "The type of validation. Set to 0 for no validation, 1 for validation on CPU, or 2 " "for validation on GPU. Default is 2, GPU validation.") .insert("log", "false", "Whether output kernel instance information or not. Possible values are true or " "false. Default is false") .insert( "warmup", "50", "The number of iterations before benchmark the kernel. Default is 50.") .insert( "repeat", "100", "The number of iterations to benchmark the kernel. Default is 100.") .insert("timer", "true", "Whether if the timer is gpu timer or not. Possible values are false or true. " "Default is true.") .insert("init", "0", "The method of tensor initialization. Set to 0 for random, to 1 for linear, or 2 " "for constant(1). Default is 0, random.") .insert("flush_cache", "true", "To flush cache, possible values are true or false. " "Default is false.") .insert("rotating_count", "1000", "number of iterations to rotate the cache. default is 5.") .insert("metric", "0", "Metric with which to measure kernel performance. Set to 0 for latency, 1 for " "tflops, or 2 for bandwidth. Default is 0, latency.") .insert("csv_filename", "", "The filename of benchmark result. Default is empty (no CSV output).") .insert("structured_sparsity", "false", "Whether use sparsity kernel or not. Possible values are true or false. Default is " "false") .insert("json_output", "false", "Whether to output results in JSON format only. Possible values are true or false. " "Default is " "false"); bool result = arg_parser.parse(argc, argv); return std::make_tuple(result, arg_parser); } void benchmark_single(const ck_tile::ArgParser& arg_parser) { // Use ck_tile::DataTypeTraits to get the actual type names from the generated header // The generated header defines ADataType, BDataType, AccDataType, CDataType std::string dtype_a = ck_tile::DataTypeTraits::name; std::string dtype_b = ck_tile::DataTypeTraits::name; std::string dtype_acc = ck_tile::DataTypeTraits::name; std::string dtype_c = ck_tile::DataTypeTraits::name; // Layout names from the layout types std::string layout_a = ALayout::name; std::string layout_b = BLayout::name; std::string layout_c = CLayout::name; // Create GemmProblem struct GemmProblem gemm_problem{arg_parser.get_int("split_k"), arg_parser.get_int("m"), arg_parser.get_int("n"), arg_parser.get_int("k"), arg_parser.get_int("stride_a"), arg_parser.get_int("stride_b"), arg_parser.get_int("stride_c"), dtype_a, dtype_b, dtype_acc, dtype_c, layout_a, layout_b, layout_c, arg_parser.get_bool("structured_sparsity")}; // Create Setting struct Setting setting{arg_parser.get_int("warmup"), arg_parser.get_int("repeat"), arg_parser.get_bool("timer"), arg_parser.get_int("verify"), arg_parser.get_int("init"), arg_parser.get_bool("log"), arg_parser.get_str("csv_filename"), arg_parser.get_bool("flush_cache"), arg_parser.get_int("rotating_count"), arg_parser.get_bool("json_output")}; // Get the profiler instance auto& profiler = GemmProfiler::instance(setting); try { // Create a lambda that wraps the kernel launch auto kernel_func = [](const ck_tile::GemmHostArgs& args, const ck_tile::stream_config& stream) { return SelectedKernel::launch(args, stream); }; // Benchmark the kernel profiler.benchmark(gemm_problem, kernel_func); // Select best instance based on metric profiler.select_best_instance(static_cast(arg_parser.get_int("metric"))); } catch(const std::exception& e) { std::cerr << "Benchmark failed: " << e.what() << std::endl; } } int main(int argc, char* argv[]) { try { auto [result, parser] = create_args(argc, argv); if(!result) return EXIT_FAILURE; benchmark_single(parser); return 0; } catch(const std::exception& e) { std::cerr << "Error: " << e.what() << "\n"; return EXIT_FAILURE; } }