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+
+// =================================================================================================
+// 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 padtranspose 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 TunePadTranspose {
+ public:
+
+ // The representative kernel and the source code
+ static std::string KernelFamily() { return "padtranspose"; }
+ static std::string KernelName() { return "TransposePadMatrix"; }
+ static std::string GetSources() {
+ return
+ #include "../src/kernels/common.opencl"
+ #include "../src/kernels/level3/level3.opencl"
+ #include "../src/kernels/level3/transpose_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, "PADTRA_TILE", {8, 16, 32, 64});
+ tuner.AddParameter(id, "PADTRA_WPT", {1, 2, 4, 8, 16});
+ tuner.AddParameter(id, "PADTRA_PAD", {0, 1});
+ }
+
+ // Sets the constraints and local memory size
+ static void SetConstraints(cltune::Tuner &, const size_t) { }
+ static void SetLocalMemorySize(cltune::Tuner &tuner, const size_t id, const Arguments<T> &args) {
+ auto LocalMemorySize = [args] (std::vector<size_t> v) {
+ return ((v[0]*v[1]*(v[0]*v[1]+v[2]))*GetBytes(args.precision));
+ };
+ tuner.SetLocalMemoryUsage(id, LocalMemorySize, {"PADTRA_TILE", "PADTRA_WPT", "PADTRA_PAD"});
+ }
+
+ // 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 {{"PADTRA_TILE", "PADTRA_TILE"}}; }
+ static TransformVector DivLocal() { return {}; }
+ static TransformVector MulGlobal() { return {}; }
+ static TransformVector DivGlobal() { return {{"PADTRA_WPT", "PADTRA_WPT"}}; }
+
+ // 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.n));
+ tuner.AddArgumentScalar(static_cast<int>(args.m));
+ tuner.AddArgumentScalar(static_cast<int>(args.n));
+ 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::TunePadTranspose<half>, half>(argc, argv); break;
+ case clblast::Precision::kSingle: clblast::Tuner<clblast::TunePadTranspose<float>, float>(argc, argv); break;
+ case clblast::Precision::kDouble: clblast::Tuner<clblast::TunePadTranspose<double>, double>(argc, argv); break;
+ case clblast::Precision::kComplexSingle: clblast::Tuner<clblast::TunePadTranspose<float2>, float2>(argc, argv); break;
+ case clblast::Precision::kComplexDouble: clblast::Tuner<clblast::TunePadTranspose<double2>, double2>(argc, argv); break;
+ }
+ return 0;
+}
+
+// =================================================================================================