
// =================================================================================================
// This file is part of the CLBlast project. Author(s):
//   Cedric Nugteren <www.cedricnugteren.nl>
//
// This file uses the auto-tuner to tune the pad-transpose OpenCL kernels.
//
// =================================================================================================

#include <cstddef>
#include <string>
#include <vector>

#include "tuning/configurations.hpp"
#include "tuning/tuning.hpp"
#include "utilities/backend.hpp"
#include "utilities/utilities.hpp"

namespace clblast {
// =================================================================================================

// Settings for this kernel (default command-line arguments)
TunerDefaults PadtransposeGetTunerDefaults(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 PadtransposeGetTunerSettings(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 PadtransposeTestValidArguments(const int, const Arguments<T>&) {}
std::vector<Constraint> PadtransposeSetConstraints(const int) { return {}; }
template <typename T>
LocalMemSizeInfo PadtransposeComputeLocalMemSize(const int) {
  return {[](std::vector<size_t> v) -> size_t {
            return GetBytes(PrecisionValue<T>()) * (v[1] * v[0]) * (v[1] * v[0] + v[2]);
          },
          {"PADTRA_TILE", "PADTRA_WPT", "PADTRA_PAD"}};
}

// Sets the kernel's arguments
template <typename T>
void PadtransposeSetArguments(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
