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https://github.com/CNugteren/CLBlast.git
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98 lines
4.1 KiB
C++
98 lines
4.1 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 Xaxpy command-line interface tester.
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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 <exception>
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#include "wrapper_clblas.h"
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#include "performance/client.h"
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namespace clblast {
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// =================================================================================================
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// The client, used for performance testing. It contains the function calls to CLBlast and to other
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// libraries to compare against.
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template <typename T>
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void PerformanceXaxpy(const Arguments<T> &args,
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const Buffer &x_vec, const Buffer &y_vec,
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CommandQueue &queue) {
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// Creates the CLBlast lambda
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auto clblast_lambda = [&args, &x_vec, &y_vec, &queue]() {
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auto queue_plain = queue();
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auto event = cl_event{};
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auto status = Axpy(args.n, args.alpha,
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x_vec(), args.x_offset, args.x_inc,
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y_vec(), args.y_offset, args.y_inc,
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&queue_plain, &event);
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clWaitForEvents(1, &event);
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if (status != StatusCode::kSuccess) {
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throw std::runtime_error("CLBlast error: "+ToString(static_cast<int>(status)));
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}
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};
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// Creates the clBLAS lambda (for comparison)
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auto clblas_lambda = [&args, &x_vec, &y_vec, &queue]() {
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auto queue_plain = queue();
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auto event = cl_event{};
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auto status = clblasXaxpy(args.n, args.alpha,
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x_vec(), args.x_offset, args.x_inc,
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y_vec(), args.y_offset, args.y_inc,
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1, &queue_plain, 0, nullptr, &event);
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clWaitForEvents(1, &event);
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if (status != CL_SUCCESS) {
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throw std::runtime_error("clBLAS error: "+ToString(static_cast<int>(status)));
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}
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};
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// Runs the routines and collect the timings
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auto ms_clblast = TimedExecution(args.num_runs, clblast_lambda);
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auto ms_clblas = TimedExecution(args.num_runs, clblas_lambda);
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// Prints the performance of both libraries
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const auto flops = 2 * args.n;
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const auto bytes = (3 * args.n) * sizeof(T);
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const auto output_ints = std::vector<size_t>{args.n, args.x_inc, args.y_inc,
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args.x_offset, args.y_offset};
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const auto output_strings = std::vector<std::string>{ToString(args.alpha)};
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PrintTableRow(output_ints, output_strings, args.no_abbrv,
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ms_clblast, ms_clblas, flops, bytes);
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}
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// =================================================================================================
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// Main function which calls the common client code with the routine-specific function as argument.
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void ClientXaxpy(int argc, char *argv[]) {
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const auto o = std::vector<std::string>{kArgN, kArgXInc, kArgYInc,
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kArgXOffset, kArgYOffset, kArgAlpha};
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switch(GetPrecision(argc, argv)) {
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case Precision::kHalf: throw std::runtime_error("Unsupported precision mode");
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case Precision::kSingle: ClientXY<float>(argc, argv, PerformanceXaxpy<float>, o); break;
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case Precision::kDouble: ClientXY<double>(argc, argv, PerformanceXaxpy<double>, o); break;
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case Precision::kComplexSingle: ClientXY<float2>(argc, argv, PerformanceXaxpy<float2>, o); break;
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case Precision::kComplexDouble: ClientXY<double2>(argc, argv, PerformanceXaxpy<double2>, o); break;
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}
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}
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// =================================================================================================
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} // namespace clblast
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// Main function (not within the clblast namespace)
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int main(int argc, char *argv[]) {
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clblast::ClientXaxpy(argc, argv);
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return 0;
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}
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// =================================================================================================
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