From a1cedf36e357f0ce19eba67e1e031c3fd2647fae Mon Sep 17 00:00:00 2001
From: Cedric Nugteren <web@cedricnugteren.nl>
Date: Sat, 3 Mar 2018 16:37:31 +0100
Subject: Separate kernel tuners in .cpp with main and .hpp with settings

---
 src/tuning/kernels/invert.hpp | 106 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 106 insertions(+)
 create mode 100644 src/tuning/kernels/invert.hpp

(limited to 'src/tuning/kernels/invert.hpp')

diff --git a/src/tuning/kernels/invert.hpp b/src/tuning/kernels/invert.hpp
new file mode 100644
index 00000000..0178a2aa
--- /dev/null
+++ b/src/tuning/kernels/invert.hpp
@@ -0,0 +1,106 @@
+
+// =================================================================================================
+// 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 invert 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 = {kArgN, kArgM, kArgK};
+  settings.default_n = 128; // dimension of input matrix 'n'
+  settings.default_m = 64; // block size
+  settings.default_k = 16; // current size
+  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 = "invert";
+  settings.kernel_name = "TripleMatMul16Part1Lower";
+  settings.sources =
+"#define ROUTINE_INVERT"
+#include "../src/kernels/level3/invert_diagonal_blocks_part1.opencl"
+#include "../src/kernels/level3/invert_diagonal_blocks_part2.opencl"
+  ;
+
+  // Buffer sizes
+  settings.size_a = args.n * args.n + args.a_offset;
+  settings.size_b = Ceil(args.n, args.m) * args.m; // Ceil(n, block_size) * block_size
+
+  // 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
+  const auto num_pages = CeilDiv(args.n, args.k * 2); // CeilDiv(n, current_size*2)
+  settings.global_size = {args.k / 4, num_pages * (args.k / 16) * 4};
+  settings.global_size_ref = settings.global_size;
+  settings.local_size = {1, 1};
+  settings.local_size_ref = {4, 4};
+
+  // Transforms the thread configuration based on the parameters
+  settings.mul_local = {{"TMMWGSX", "TMMWGSY"}};
+  settings.div_global = {{}};
+
+  // Sets the tuning parameters and their possible values
+  // TODO: Make these actually tunable, apart from LOCALPAD
+  settings.parameters = {
+    {"INTERNAL_BLOCK_SIZE", {16}},
+    {"LOCALPAD", {0, 1}},
+    {"TMMWGSX", {4}},
+    {"TMMWGSY", {4}},
+  };
+
+  // Describes how to compute the performance metrics
+  settings.metric_amount = 1 * GetBytes(args.precision);
+  settings.performance_unit = "N/A";
+
+  return settings;
+}
+
+// Tests for valid arguments
+template <typename T>
+void TestValidArguments(const int, const Arguments<T> &args) {
+  if (!(args.k == 16)) {
+    throw std::runtime_error("'TripleMatMul16Part1Lower' requires 'k' to be 16");
+  }
+}
+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) {
+  const auto num_pages = CeilDiv(args.n, args.k * 2); // CeilDiv(n, current_size*2)
+  kernel.SetArgument(0, static_cast<int>(args.n)); // n
+  kernel.SetArgument(1, buffers[2]()); // 2 == A matrix
+  kernel.SetArgument(2, 0); // a_offset
+  kernel.SetArgument(3, static_cast<int>(args.n)); // a_ld
+  kernel.SetArgument(4, buffers[3]()); // 3 == B matrix
+  kernel.SetArgument(5, static_cast<int>(args.k)); // current_size
+  kernel.SetArgument(6, static_cast<int>(num_pages)); // num_pages
+  kernel.SetArgument(7, static_cast<int>(args.m)); // block_size
+}
+
+// =================================================================================================
+} // namespace clblast
-- 
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