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468 lines
22 KiB
C++
468 lines
22 KiB
C++
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// =================================================================================================
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// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
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// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
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// width of 100 characters per line.
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//
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// Author(s):
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// Cedric Nugteren <www.cedricnugteren.nl>
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//
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// This file implements the common functions for the client-test environment.
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//
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// =================================================================================================
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#include <string>
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#include <vector>
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#include <utility>
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#include <algorithm>
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#include <chrono>
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#include <random>
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#include "utilities/utilities.hpp"
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#include "test/performance/client.hpp"
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namespace clblast {
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// =================================================================================================
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template <typename T, typename U> const int Client<T,U>::kSeed = 42; // fixed seed for reproducibility
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// Constructor
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template <typename T, typename U>
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Client<T,U>::Client(const Routine run_routine,
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const Reference1 run_reference1, const Reference2 run_reference2,
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const Reference3 run_reference3, const std::vector<std::string> &options,
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const std::vector<std::string> &buffers_in,
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const std::vector<std::string> &buffers_out,
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const GetMetric get_flops, const GetMetric get_bytes):
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run_routine_(run_routine),
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run_reference1_(run_reference1),
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run_reference2_(run_reference2),
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run_reference3_(run_reference3),
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options_(options),
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buffers_in_(buffers_in),
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buffers_out_(buffers_out),
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get_flops_(get_flops),
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get_bytes_(get_bytes) {
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}
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// =================================================================================================
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// Parses all arguments available for the CLBlast client testers. Some arguments might not be
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// applicable, but are searched for anyway to be able to create one common argument parser. All
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// arguments have a default value in case they are not found.
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template <typename T, typename U>
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Arguments<U> Client<T,U>::ParseArguments(int argc, char *argv[], const size_t level,
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const GetMetric default_a_ld,
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const GetMetric default_b_ld,
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const GetMetric default_c_ld) {
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const auto command_line_args = RetrieveCommandLineArguments(argc, argv);
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auto args = Arguments<U>{};
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auto help = std::string{"\n* Options given/available:\n"};
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// These are the options which are not for every client: they are optional
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for (auto &o: options_) {
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// Data-sizes
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if (o == kArgM) { args.m = GetArgument(command_line_args, help, kArgM, size_t{512}); }
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if (o == kArgN) { args.n = GetArgument(command_line_args, help, kArgN, size_t{512}); }
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if (o == kArgK) { args.k = GetArgument(command_line_args, help, kArgK, size_t{512}); }
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if (o == kArgKU) { args.ku = GetArgument(command_line_args, help, kArgKU, size_t{128}); }
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if (o == kArgKL) { args.kl = GetArgument(command_line_args, help, kArgKL, size_t{128}); }
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// Data-layouts
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if (o == kArgLayout) { args.layout = GetArgument(command_line_args, help, kArgLayout, Layout::kRowMajor); }
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if (o == kArgATransp) { args.a_transpose = GetArgument(command_line_args, help, kArgATransp, Transpose::kNo); }
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if (o == kArgBTransp) { args.b_transpose = GetArgument(command_line_args, help, kArgBTransp, Transpose::kNo); }
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if (o == kArgSide) { args.side = GetArgument(command_line_args, help, kArgSide, Side::kLeft); }
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if (o == kArgTriangle) { args.triangle = GetArgument(command_line_args, help, kArgTriangle, Triangle::kUpper); }
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if (o == kArgDiagonal) { args.diagonal = GetArgument(command_line_args, help, kArgDiagonal, Diagonal::kUnit); }
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// Vector arguments
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if (o == kArgXInc) { args.x_inc = GetArgument(command_line_args, help, kArgXInc, size_t{1}); }
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if (o == kArgYInc) { args.y_inc = GetArgument(command_line_args, help, kArgYInc, size_t{1}); }
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if (o == kArgXOffset) { args.x_offset = GetArgument(command_line_args, help, kArgXOffset, size_t{0}); }
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if (o == kArgYOffset) { args.y_offset = GetArgument(command_line_args, help, kArgYOffset, size_t{0}); }
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// Matrix arguments
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if (o == kArgALeadDim) { args.a_ld = GetArgument(command_line_args, help, kArgALeadDim, default_a_ld(args)); }
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if (o == kArgBLeadDim) { args.b_ld = GetArgument(command_line_args, help, kArgBLeadDim, default_b_ld(args)); }
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if (o == kArgCLeadDim) { args.c_ld = GetArgument(command_line_args, help, kArgCLeadDim, default_c_ld(args)); }
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if (o == kArgAOffset) { args.a_offset = GetArgument(command_line_args, help, kArgAOffset, size_t{0}); }
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if (o == kArgBOffset) { args.b_offset = GetArgument(command_line_args, help, kArgBOffset, size_t{0}); }
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if (o == kArgCOffset) { args.c_offset = GetArgument(command_line_args, help, kArgCOffset, size_t{0}); }
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if (o == kArgAPOffset) { args.ap_offset= GetArgument(command_line_args, help, kArgAPOffset, size_t{0}); }
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// Scalar result arguments
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if (o == kArgDotOffset) { args.dot_offset = GetArgument(command_line_args, help, kArgDotOffset, size_t{0}); }
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if (o == kArgNrm2Offset) { args.nrm2_offset = GetArgument(command_line_args, help, kArgNrm2Offset, size_t{0}); }
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if (o == kArgAsumOffset) { args.asum_offset = GetArgument(command_line_args, help, kArgAsumOffset, size_t{0}); }
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if (o == kArgImaxOffset) { args.imax_offset = GetArgument(command_line_args, help, kArgImaxOffset, size_t{0}); }
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// Batch arguments
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if (o == kArgBatchCount) { args.batch_count = GetArgument(command_line_args, help, kArgBatchCount, size_t{1}); }
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// Scalar values
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if (o == kArgAlpha) { args.alpha = GetArgument(command_line_args, help, kArgAlpha, GetScalar<U>()); }
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if (o == kArgBeta) { args.beta = GetArgument(command_line_args, help, kArgBeta, GetScalar<U>()); }
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// Arguments for im2col
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if (o == kArgChannels) { args.channels = GetArgument(command_line_args, help, kArgChannels, size_t{64}); }
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if (o == kArgHeight) { args.height = GetArgument(command_line_args, help, kArgHeight, size_t{64}); }
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if (o == kArgWidth) { args.width = GetArgument(command_line_args, help, kArgWidth, size_t{64}); }
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if (o == kArgKernelH) { args.kernel_h = GetArgument(command_line_args, help, kArgKernelH, size_t{3}); }
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if (o == kArgKernelW) { args.kernel_w = GetArgument(command_line_args, help, kArgKernelW, size_t{3}); }
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if (o == kArgPadH) { args.pad_h = GetArgument(command_line_args, help, kArgPadH, size_t{0}); }
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if (o == kArgPadW) { args.pad_w = GetArgument(command_line_args, help, kArgPadW, size_t{0}); }
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if (o == kArgStrideH) { args.stride_h = GetArgument(command_line_args, help, kArgStrideH, size_t{1}); }
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if (o == kArgStrideW) { args.stride_w = GetArgument(command_line_args, help, kArgStrideW, size_t{1}); }
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if (o == kArgDilationH) { args.dilation_h = GetArgument(command_line_args, help, kArgDilationH, size_t{1}); }
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if (o == kArgDilationW) { args.dilation_w = GetArgument(command_line_args, help, kArgDilationW, size_t{1}); }
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}
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// These are the options common to all routines
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args.platform_id = GetArgument(command_line_args, help, kArgPlatform, ConvertArgument(std::getenv("CLBLAST_PLATFORM"), size_t{0}));
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args.device_id = GetArgument(command_line_args, help, kArgDevice, ConvertArgument(std::getenv("CLBLAST_DEVICE"), size_t{0}));
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args.precision = GetArgument(command_line_args, help, kArgPrecision, Precision::kSingle);
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#ifdef CLBLAST_REF_CLBLAS
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args.compare_clblas = GetArgument(command_line_args, help, kArgCompareclblas, 1);
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#else
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args.compare_clblas = 0;
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#endif
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#ifdef CLBLAST_REF_CBLAS
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args.compare_cblas = GetArgument(command_line_args, help, kArgComparecblas, 1);
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#else
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args.compare_cblas = 0;
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#endif
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#ifdef CLBLAST_REF_CUBLAS
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args.compare_cublas = GetArgument(command_line_args, help, kArgComparecublas, 1);
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#else
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args.compare_cublas = 0;
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#endif
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args.step = GetArgument(command_line_args, help, kArgStepSize, size_t{1});
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args.num_steps = GetArgument(command_line_args, help, kArgNumSteps, size_t{0});
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args.num_runs = GetArgument(command_line_args, help, kArgNumRuns, size_t{10});
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args.print_help = CheckArgument(command_line_args, help, kArgHelp);
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args.silent = CheckArgument(command_line_args, help, kArgQuiet);
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args.no_abbrv = CheckArgument(command_line_args, help, kArgNoAbbreviations);
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warm_up_ = CheckArgument(command_line_args, help, kArgWarmUp);
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// Parse the optional JSON file name arguments
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const auto tuner_files_default = std::string{"<none>"};
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const auto tuner_files_string = GetArgument(command_line_args, help, kArgTunerFiles, tuner_files_default);
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if (tuner_files_string != tuner_files_default) {
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args.tuner_files = split(tuner_files_string, ',');
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}
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// Prints the chosen (or defaulted) arguments to screen. This also serves as the help message,
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// which is thus always displayed (unless silence is specified).
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if (!args.silent) { fprintf(stdout, "%s\n", help.c_str()); }
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// Comparison against a non-BLAS routine is not supported
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if (level == 4) { // level-4 == level-X
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if (args.compare_clblas != 0 || args.compare_cblas != 0 || args.compare_cublas != 0) {
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if (!args.silent) {
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fprintf(stdout, "* Disabling clBLAS/CBLAS/cuBLAS comparisons for this non-BLAS routine\n\n");
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}
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}
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args.compare_clblas = 0;
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args.compare_cblas = 0;
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args.compare_cublas = 0;
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}
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// Comparison against other BLAS libraries is not supported in case of half-precision
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if (args.precision == Precision::kHalf) {
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if (args.compare_clblas != 0 || args.compare_cblas != 0 || args.compare_cublas != 0) {
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if (!args.silent) {
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fprintf(stdout, "* Disabling clBLAS/CBLAS/cuBLAS comparisons for half-precision\n\n");
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}
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}
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args.compare_clblas = 0;
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args.compare_cblas = 0;
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args.compare_cublas = 0;
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}
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// Returns the arguments
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return args;
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}
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// =================================================================================================
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// This is main performance tester
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template <typename T, typename U>
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void Client<T,U>::PerformanceTest(Arguments<U> &args, const SetMetric set_sizes) {
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// Initializes OpenCL and the libraries
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auto platform = Platform(args.platform_id);
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auto device = Device(platform, args.device_id);
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auto context = Context(device);
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auto queue = Queue(context, device);
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#ifdef CLBLAST_REF_CLBLAS
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if (args.compare_clblas) { clblasSetup(); }
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#endif
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#ifdef CLBLAST_REF_CUBLAS
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if (args.compare_cublas) { cublasSetup(args); }
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#endif
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// Optionally overrides parameters if tuner files are given (semicolon separated)
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OverrideParametersFromJSONFiles(args.tuner_files, device(), args.precision);
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// Prints the header of the output table
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PrintTableHeader(args);
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// Iterates over all "num_step" values jumping by "step" each time
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auto s = size_t{0};
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while(true) {
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// Sets the buffer sizes (routine-specific)
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set_sizes(args);
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// Populates input host matrices with random data
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std::vector<T> x_source(args.x_size);
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std::vector<T> y_source(args.y_size);
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std::vector<T> a_source(args.a_size);
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std::vector<T> b_source(args.b_size);
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std::vector<T> c_source(args.c_size);
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std::vector<T> ap_source(args.ap_size);
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std::vector<T> scalar_source(args.scalar_size);
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std::mt19937 mt(kSeed);
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std::uniform_real_distribution<double> dist(kTestDataLowerLimit, kTestDataUpperLimit);
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PopulateVector(x_source, mt, dist);
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PopulateVector(y_source, mt, dist);
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PopulateVector(a_source, mt, dist);
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PopulateVector(b_source, mt, dist);
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PopulateVector(c_source, mt, dist);
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PopulateVector(ap_source, mt, dist);
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PopulateVector(scalar_source, mt, dist);
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// Creates the matrices on the device
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auto x_vec = Buffer<T>(context, args.x_size);
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auto y_vec = Buffer<T>(context, args.y_size);
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auto a_mat = Buffer<T>(context, args.a_size);
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auto b_mat = Buffer<T>(context, args.b_size);
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auto c_mat = Buffer<T>(context, args.c_size);
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auto ap_mat = Buffer<T>(context, args.ap_size);
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auto scalar = Buffer<T>(context, args.scalar_size);
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x_vec.Write(queue, args.x_size, x_source);
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y_vec.Write(queue, args.y_size, y_source);
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a_mat.Write(queue, args.a_size, a_source);
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b_mat.Write(queue, args.b_size, b_source);
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c_mat.Write(queue, args.c_size, c_source);
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ap_mat.Write(queue, args.ap_size, ap_source);
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scalar.Write(queue, args.scalar_size, scalar_source);
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auto buffers = Buffers<T>{x_vec, y_vec, a_mat, b_mat, c_mat, ap_mat, scalar};
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// Runs the routines and collects the timings
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auto timings = std::vector<std::pair<std::string, double>>();
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auto ms_clblast = TimedExecution(args.num_runs, args, buffers, queue, run_routine_, "CLBlast");
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timings.push_back(std::pair<std::string, double>("CLBlast", ms_clblast));
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if (args.compare_clblas) {
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auto ms_clblas = TimedExecution(args.num_runs, args, buffers, queue, run_reference1_, "clBLAS");
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timings.push_back(std::pair<std::string, double>("clBLAS", ms_clblas));
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}
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if (args.compare_cblas) {
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auto buffers_host = BuffersHost<T>();
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DeviceToHost(args, buffers, buffers_host, queue, buffers_in_);
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auto ms_cblas = TimedExecution(args.num_runs, args, buffers_host, queue, run_reference2_, "CPU BLAS");
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HostToDevice(args, buffers, buffers_host, queue, buffers_out_);
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timings.push_back(std::pair<std::string, double>("CPU BLAS", ms_cblas));
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}
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if (args.compare_cublas) {
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auto buffers_host = BuffersHost<T>();
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auto buffers_cuda = BuffersCUDA<T>();
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DeviceToHost(args, buffers, buffers_host, queue, buffers_in_);
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HostToCUDA(args, buffers_cuda, buffers_host, buffers_in_);
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auto ms_cublas = TimedExecution(args.num_runs, args, buffers_cuda, queue, run_reference3_, "cuBLAS");
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CUDAToHost(args, buffers_cuda, buffers_host, buffers_out_);
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HostToDevice(args, buffers, buffers_host, queue, buffers_out_);
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timings.push_back(std::pair<std::string, double>("cuBLAS", ms_cublas));
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}
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// Prints the performance of the tested libraries
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PrintTableRow(args, timings);
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// Makes the jump to the next step
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++s;
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if (s >= args.num_steps) { break; }
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args.m += args.step;
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args.n += args.step;
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args.k += args.step;
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args.a_ld += args.step;
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args.b_ld += args.step;
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args.c_ld += args.step;
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}
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// Cleans-up and returns
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#ifdef CLBLAST_REF_CLBLAS
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if (args.compare_clblas) { clblasTeardown(); }
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#endif
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#ifdef CLBLAST_REF_CUBLAS
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if (args.compare_cublas) { cublasTeardown(args); }
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#endif
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}
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// =================================================================================================
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// Creates a vector of timing results, filled with execution times of the 'main computation'. The
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// timing is performed using the milliseconds chrono functions. The function returns the minimum
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// value found in the vector of timing results. The return value is in milliseconds.
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template <typename T, typename U>
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template <typename BufferType, typename RoutineType>
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double Client<T,U>::TimedExecution(const size_t num_runs, const Arguments<U> &args,
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BufferType &buffers, Queue &queue,
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RoutineType run_blas, const std::string &library_name) {
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auto status = StatusCode::kSuccess;
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// Do an optional warm-up to omit compilation times and initialisations from the measurements
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if (warm_up_) {
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try {
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status = run_blas(args, buffers, queue);
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} catch (...) { status = static_cast<StatusCode>(kUnknownError); }
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if (status != StatusCode::kSuccess) {
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throw std::runtime_error(library_name+" error: "+ToString(static_cast<int>(status)));
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}
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}
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// Start the timed part
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auto timings = std::vector<double>(num_runs);
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for (auto &timing: timings) {
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auto start_time = std::chrono::steady_clock::now();
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// Executes the main computation
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try {
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status = run_blas(args, buffers, queue);
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} catch (...) { status = static_cast<StatusCode>(kUnknownError); }
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if (status != StatusCode::kSuccess) {
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throw std::runtime_error(library_name+" error: "+ToString(static_cast<int>(status)));
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}
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// Records and stores the end-time
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auto elapsed_time = std::chrono::steady_clock::now() - start_time;
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timing = std::chrono::duration<double,std::milli>(elapsed_time).count();
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}
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return *std::min_element(timings.begin(), timings.end());
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}
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// =================================================================================================
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// Prints the header of the performance table
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template <typename T, typename U>
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void Client<T,U>::PrintTableHeader(const Arguments<U>& args) {
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// First line (optional)
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if (!args.silent) {
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for (auto i=size_t{0}; i<options_.size(); ++i) { fprintf(stdout, "%9s ", ""); }
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fprintf(stdout, " | <-- CLBlast -->");
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if (args.compare_clblas) { fprintf(stdout, " | <-- clBLAS -->"); }
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if (args.compare_cblas) { fprintf(stdout, " | <-- CPU BLAS -->"); }
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if (args.compare_cublas) { fprintf(stdout, " | <-- cuBLAS -->"); }
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fprintf(stdout, " |\n");
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}
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// Second line
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for (auto &option: options_) { fprintf(stdout, "%9s;", option.c_str()); }
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fprintf(stdout, "%9s;%9s;%9s", "ms_1", "GFLOPS_1", "GBs_1");
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if (args.compare_clblas) { fprintf(stdout, ";%9s;%9s;%9s", "ms_2", "GFLOPS_2", "GBs_2"); }
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if (args.compare_cblas) { fprintf(stdout, ";%9s;%9s;%9s", "ms_3", "GFLOPS_3", "GBs_3"); }
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if (args.compare_cublas) { fprintf(stdout, ";%9s;%9s;%9s", "ms_4", "GFLOPS_4", "GBs_4"); }
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fprintf(stdout, "\n");
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}
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// Print a performance-result row
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template <typename T, typename U>
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void Client<T,U>::PrintTableRow(const Arguments<U>& args,
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const std::vector<std::pair<std::string, double>>& timings) {
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|
|
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// Creates a vector of relevant variables
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|
auto integers = std::vector<size_t>{};
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for (auto &o: options_) {
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if (o == kArgM) { integers.push_back(args.m); }
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else if (o == kArgN) { integers.push_back(args.n); }
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else if (o == kArgK) { integers.push_back(args.k); }
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else if (o == kArgKU) { integers.push_back(args.ku); }
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else if (o == kArgKL) { integers.push_back(args.kl); }
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else if (o == kArgLayout) { integers.push_back(static_cast<size_t>(args.layout)); }
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else if (o == kArgSide) { integers.push_back(static_cast<size_t>(args.side)); }
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|
else if (o == kArgTriangle) { integers.push_back(static_cast<size_t>(args.triangle)); }
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else if (o == kArgATransp) { integers.push_back(static_cast<size_t>(args.a_transpose)); }
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else if (o == kArgBTransp) { integers.push_back(static_cast<size_t>(args.b_transpose)); }
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else if (o == kArgDiagonal) { integers.push_back(static_cast<size_t>(args.diagonal)); }
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|
else if (o == kArgXInc) { integers.push_back(args.x_inc); }
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|
else if (o == kArgYInc) { integers.push_back(args.y_inc); }
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|
else if (o == kArgXOffset) { integers.push_back(args.x_offset); }
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|
else if (o == kArgYOffset) { integers.push_back(args.y_offset); }
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|
else if (o == kArgALeadDim) { integers.push_back(args.a_ld); }
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|
else if (o == kArgBLeadDim) { integers.push_back(args.b_ld); }
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|
else if (o == kArgCLeadDim) { integers.push_back(args.c_ld); }
|
|
else if (o == kArgAOffset) { integers.push_back(args.a_offset); }
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|
else if (o == kArgBOffset) { integers.push_back(args.b_offset); }
|
|
else if (o == kArgCOffset) { integers.push_back(args.c_offset); }
|
|
else if (o == kArgAPOffset) { integers.push_back(args.ap_offset); }
|
|
else if (o == kArgDotOffset) {integers.push_back(args.dot_offset); }
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|
else if (o == kArgNrm2Offset){integers.push_back(args.nrm2_offset); }
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|
else if (o == kArgAsumOffset){integers.push_back(args.asum_offset); }
|
|
else if (o == kArgImaxOffset){integers.push_back(args.imax_offset); }
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|
else if (o == kArgBatchCount){integers.push_back(args.batch_count); }
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|
else if (o == kArgChannels) {integers.push_back(args.channels); }
|
|
else if (o == kArgHeight) {integers.push_back(args.height); }
|
|
else if (o == kArgWidth) {integers.push_back(args.width); }
|
|
else if (o == kArgKernelH) {integers.push_back(args.kernel_h); }
|
|
else if (o == kArgKernelW) {integers.push_back(args.kernel_w); }
|
|
else if (o == kArgPadH) {integers.push_back(args.pad_h); }
|
|
else if (o == kArgPadW) {integers.push_back(args.pad_w); }
|
|
else if (o == kArgStrideH) {integers.push_back(args.stride_h); }
|
|
else if (o == kArgStrideW) {integers.push_back(args.stride_w); }
|
|
else if (o == kArgDilationH) {integers.push_back(args.dilation_h); }
|
|
else if (o == kArgDilationW) {integers.push_back(args.dilation_w); }
|
|
}
|
|
auto strings = std::vector<std::string>{};
|
|
for (auto &o: options_) {
|
|
if (o == kArgAlpha) { strings.push_back(ToString(args.alpha)); }
|
|
else if (o == kArgBeta) { strings.push_back(ToString(args.beta)); }
|
|
}
|
|
|
|
// Outputs the argument values
|
|
for (auto &argument: integers) {
|
|
if (!args.no_abbrv && argument >= 1024*1024 && IsMultiple(argument, 1024*1024)) {
|
|
fprintf(stdout, "%8zuM;", argument/(1024*1024));
|
|
}
|
|
else if (!args.no_abbrv && argument >= 1024 && IsMultiple(argument, 1024)) {
|
|
fprintf(stdout, "%8zuK;", argument/1024);
|
|
}
|
|
else {
|
|
fprintf(stdout, "%9zu;", argument);
|
|
}
|
|
}
|
|
for (auto &argument: strings) {
|
|
fprintf(stdout, "%9s;", argument.c_str());
|
|
}
|
|
|
|
// Loops over all tested libraries
|
|
for (const auto& timing : timings) {
|
|
|
|
// Computes the GFLOPS and GB/s metrics
|
|
auto flops = get_flops_(args);
|
|
auto bytes = get_bytes_(args);
|
|
auto gflops = (timing.second != 0.0) ? (flops*1e-6)/timing.second : 0;
|
|
auto gbs = (timing.second != 0.0) ? (bytes*1e-6)/timing.second : 0;
|
|
|
|
// Outputs the performance numbers
|
|
if (timing.first != "CLBlast") { fprintf(stdout, ";"); }
|
|
fprintf(stdout, "%9.2lf;%9.1lf;%9.1lf", timing.second, gflops, gbs);
|
|
}
|
|
fprintf(stdout, "\n");
|
|
}
|
|
|
|
// =================================================================================================
|
|
|
|
// Compiles the templated class
|
|
template class Client<half,half>;
|
|
template class Client<float,float>;
|
|
template class Client<double,double>;
|
|
template class Client<float2,float2>;
|
|
template class Client<double2,double2>;
|
|
template class Client<float2,float>;
|
|
template class Client<double2,double>;
|
|
|
|
// =================================================================================================
|
|
} // namespace clblast
|