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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 auto-tuner to tune the pad-transpose OpenCL kernels.
//
// =================================================================================================
#include <string>
#include <vector>
#include "utilities/utilities.hpp"
#include "tuning/tuning.hpp"
namespace clblast {
// =================================================================================================
// Settings for this kernel (default command-line arguments)
TunerDefaults GetTunerDefaults(const int) {
auto settings = TunerDefaults();
settings.options = {kArgM, kArgN, kArgAlpha};
settings.default_m = 1024;
settings.default_n = 1024;
return settings;
}
// Settings for this kernel (general)
template <typename T>
TunerSettings GetTunerSettings(const int, const Arguments<T> &args) {
auto settings = TunerSettings();
// Identification of the kernel
settings.kernel_family = "padtranspose";
settings.kernel_name = "TransposePadMatrix";
settings.sources =
#include "../src/kernels/level3/level3.opencl"
#include "../src/kernels/level3/transpose_pad.opencl"
;
// Buffer sizes
settings.size_a = args.m * args.n;
settings.size_b = args.m * args.n;
// Inputs and outputs IDs (X:0, Y:1, A:2, B:3, C:4, temp:5)
settings.inputs = {2, 3};
settings.outputs = {3};
// Sets the base thread configuration
settings.global_size = {args.m, args.n};
settings.global_size_ref = settings.global_size;
settings.local_size = {1, 1};
settings.local_size_ref = {8, 8};
// Transforms the thread configuration based on the parameters
settings.mul_local = {{"PADTRA_TILE", "PADTRA_TILE"}};
settings.div_global = {{"PADTRA_WPT", "PADTRA_WPT"}};
// Sets the tuning parameters and their possible values
settings.parameters = {
{"PADTRA_TILE", {8, 16, 32, 64}},
{"PADTRA_WPT", {1, 2, 4, 8, 16}},
{"PADTRA_PAD", {0, 1}},
};
// Describes how to compute the performance metrics
settings.metric_amount = 2 * args.m * args.n * GetBytes(args.precision);
settings.performance_unit = "GB/s";
return settings;
}
// Tests for valid arguments
template <typename T>
void TestValidArguments(const int, const Arguments<T> &) { }
std::vector<Constraint> SetConstraints(const int) { return {}; }
// Sets the kernel's arguments
template <typename T>
void SetArguments(const int, Kernel &kernel, const Arguments<T> &args, std::vector<Buffer<T>>& buffers) {
kernel.SetArgument(0, static_cast<int>(args.m));
kernel.SetArgument(1, static_cast<int>(args.n));
kernel.SetArgument(2, static_cast<int>(args.m));
kernel.SetArgument(3, 0);
kernel.SetArgument(4, buffers[2]()); // 2 == A matrix
kernel.SetArgument(5, static_cast<int>(args.n));
kernel.SetArgument(6, static_cast<int>(args.m));
kernel.SetArgument(7, static_cast<int>(args.n));
kernel.SetArgument(8, 0);
kernel.SetArgument(9, buffers[3]()); // 3 == B matrix
kernel.SetArgument(10, GetRealArg(args.alpha));
kernel.SetArgument(11, 0);
}
// =================================================================================================
} // namespace clblast
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