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Diffstat (limited to 'src/tuning/kernels/copy_pad.cc')
-rw-r--r-- | src/tuning/kernels/copy_pad.cc | 130 |
1 files changed, 130 insertions, 0 deletions
diff --git a/src/tuning/kernels/copy_pad.cc b/src/tuning/kernels/copy_pad.cc new file mode 100644 index 00000000..1e0dccd3 --- /dev/null +++ b/src/tuning/kernels/copy_pad.cc @@ -0,0 +1,130 @@ + +// ================================================================================================= +// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This +// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max- +// width of 100 characters per line. +// +// Author(s): +// Cedric Nugteren <www.cedricnugteren.nl> +// +// This file uses the CLTune auto-tuner to tune the pad OpenCL kernels. +// +// ================================================================================================= + +#include <string> +#include <vector> + +#include "utilities.hpp" +#include "tuning/tuning.hpp" + +namespace clblast { +// ================================================================================================= + +// See comment at top of file for a description of the class +template <typename T> +class TunePad { + public: + + // The representative kernel and the source code + static std::string KernelFamily() { return "pad"; } + static std::string KernelName() { return "CopyPadMatrix"; } + static std::string GetSources() { + return + #include "../src/kernels/common.opencl" + #include "../src/kernels/level3/level3.opencl" + #include "../src/kernels/level3/copy_pad.opencl" + ; + } + + // The list of arguments relevant for this routine + static std::vector<std::string> GetOptions() { return {kArgM, kArgN, kArgAlpha}; } + + // Tests for valid arguments + static void TestValidArguments(const Arguments<T> &) { } + + // Sets the default values for the arguments + static size_t DefaultM() { return 1024; } + static size_t DefaultN() { return 1024; } + static size_t DefaultK() { return 1; } // N/A for this kernel + static double DefaultFraction() { return 1.0; } // N/A for this kernel + + // Describes how to obtain the sizes of the buffers + static size_t GetSizeX(const Arguments<T> &) { return 1; } // N/A for this kernel + static size_t GetSizeY(const Arguments<T> &) { return 1; } // N/A for this kernel + static size_t GetSizeA(const Arguments<T> &args) { return args.m * args.n; } + static size_t GetSizeB(const Arguments<T> &args) { return args.m * args.n; } + static size_t GetSizeC(const Arguments<T> &) { return 1; } // N/A for this kernel + static size_t GetSizeTemp(const Arguments<T> &) { return 1; } // N/A for this kernel + + // Sets the tuning parameters and their possible values + static void SetParameters(cltune::Tuner &tuner, const size_t id) { + tuner.AddParameter(id, "PAD_DIMX", {8, 16, 32}); + tuner.AddParameter(id, "PAD_DIMY", {8, 16, 32}); + tuner.AddParameter(id, "PAD_WPTX", {1, 2, 4}); + tuner.AddParameter(id, "PAD_WPTY", {1, 2, 4}); + } + + // Sets the constraints and local memory size + static void SetConstraints(cltune::Tuner &, const size_t) { } + static void SetLocalMemorySize(cltune::Tuner &, const size_t, const Arguments<T> &) { } + + // Sets the base thread configuration + static std::vector<size_t> GlobalSize(const Arguments<T> &args) { return {args.m, args.n}; } + static std::vector<size_t> GlobalSizeRef(const Arguments<T> &args) { return GlobalSize(args); } + static std::vector<size_t> LocalSize() { return {1, 1}; } + static std::vector<size_t> LocalSizeRef() { return {8, 8}; } + + // Transforms the thread configuration based on the parameters + using TransformVector = std::vector<std::vector<std::string>>; + static TransformVector MulLocal() { return {{"PAD_DIMX", "PAD_DIMY"}}; } + static TransformVector DivLocal() { return {}; } + static TransformVector MulGlobal() { return {}; } + static TransformVector DivGlobal() { return {{"PAD_WPTX", "PAD_WPTY"}}; } + + // Sets the kernel's arguments + static void SetArguments(cltune::Tuner &tuner, const Arguments<T> &args, + std::vector<T> &, std::vector<T> &, + std::vector<T> &a_mat, std::vector<T> &b_mat, std::vector<T> &, + std::vector<T> &) { + auto alpha_buffer = std::vector<T>{args.alpha}; + tuner.AddArgumentScalar(static_cast<int>(args.m)); + tuner.AddArgumentScalar(static_cast<int>(args.n)); + tuner.AddArgumentScalar(static_cast<int>(args.m)); + tuner.AddArgumentScalar(0); + tuner.AddArgumentInput(a_mat); + tuner.AddArgumentScalar(static_cast<int>(args.m)); + tuner.AddArgumentScalar(static_cast<int>(args.n)); + tuner.AddArgumentScalar(static_cast<int>(args.m)); + tuner.AddArgumentScalar(0); + tuner.AddArgumentOutput(b_mat); + tuner.AddArgumentInput(alpha_buffer); + tuner.AddArgumentScalar(0); + } + + // Describes how to compute the performance metrics + static size_t GetMetric(const Arguments<T> &args) { + return 2 * args.m * args.n * GetBytes(args.precision); + } + static std::string PerformanceUnit() { return "GB/s"; } +}; + +// ================================================================================================= +} // namespace clblast + +// Shortcuts to the clblast namespace +using float2 = clblast::float2; +using double2 = clblast::double2; + +// Main function (not within the clblast namespace) +int main(int argc, char *argv[]) { + switch(clblast::GetPrecision(argc, argv)) { + case clblast::Precision::kHalf: clblast::Tuner<clblast::TunePad<half>, half>(argc, argv); break; + case clblast::Precision::kSingle: clblast::Tuner<clblast::TunePad<float>, float>(argc, argv); break; + case clblast::Precision::kDouble: clblast::Tuner<clblast::TunePad<double>, double>(argc, argv); break; + case clblast::Precision::kComplexSingle: clblast::Tuner<clblast::TunePad<float2>, float2>(argc, argv); break; + case clblast::Precision::kComplexDouble: clblast::Tuner<clblast::TunePad<double2>, double2>(argc, argv); break; + } + return 0; +} + +// ================================================================================================= |