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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 contains the tests for the simple integrated OpenCL pre-processor
//
// =================================================================================================
#include <string>
#include <vector>
#include <unordered_map>
#include <random>
#include <iostream>
#include "utilities/utilities.hpp"
#include "utilities/compile.hpp"
#include "kernel_preprocessor.hpp"
namespace clblast {
// =================================================================================================
bool TestDefines() {
const auto source1 =
R"(
#define VAR1
#define VAR2 32
#if VAR2 == 32
#ifndef VAR1
#define ERROR
#ifdef VAR1
#define ERROR
#endif
#else
#if VAR2 == 32 || VAR3 == 4
#define SUCCESS
#else
#define ERROR
#endif
#define SUCCESS
#endif
#endif
#ifndef VAR3
#define SUCCESS
#else
#define ERROR
#endif
)";
const auto expected1 =
" #define VAR1\n"
" #define VAR2 32\n"
" #define SUCCESS\n"
" #define SUCCESS\n"
" #define SUCCESS\n"
" \n";
const auto result1 = PreprocessKernelSource(source1);
return result1 == expected1;
}
// =================================================================================================
bool TestArrayToRegisterPromotion() {
const auto source1 =
R"(#define WPT 2
inline void SetValues(int float, float values[WPT],
const float k) {
#pragma unroll
for (int i = 0; i < WPT; i += 1) {
values[i] = k + j;
}
}
__kernel void ExampleKernel() {
#pragma promote_to_registers
float values[WPT];
#pragma unroll
for (int i = 0; i < WPT; i += 1) {
values[i] = 0.0f;
}
SetValues(12.3f, values, -3.9f);
}
)";
const auto expected1 =
R"(#define WPT 2
inline void SetValues(int float, float values_0, float values_1,
const float k) {
{
values_0 = k + j;
}
{
values_1 = k + j;
}
}
__kernel void ExampleKernel() {
float values_0;
float values_1;
{
values_0 = 0.0f;
}
{
values_1 = 0.0f;
}
SetValues(12.3f, values_0, values_1, -3.9f);
}
)";
const auto result1 = PreprocessKernelSource(source1);
return result1 == expected1;
}
// =================================================================================================
bool TestKernel(const Device& device, const Context& context,
const std::string &kernel_name, const std::string &kernel_source,
const Precision precision) {
fprintf(stdout, "* Testing simple OpenCL pre-processor for '%s'\n", kernel_name.c_str());
// Verifies that the current kernel compiles properly (assumes so, otherwise throws an error)
auto compiler_options_ref = std::vector<std::string>();
const auto program_ref = CompileFromSource(kernel_source, precision, kernel_name,
device, context, compiler_options_ref, 2);
// Compiles the same kernel, but now with the pre-processor enabled
try {
auto compiler_options = std::vector<std::string>();
const auto program = CompileFromSource(kernel_source, precision, kernel_name,
device, context, compiler_options, 1);
return true;
} catch (const CLCudaAPIBuildError &e) {
fprintf(stdout, "* ERROR: Compilation warnings/errors with pre-processed kernel, status %d\n",
e.status());
return false;
} catch (const Error<std::runtime_error> &e) {
fprintf(stdout, "* ERROR: Pre-processor error, message:\n%s\n", e.what());
return false;
}
}
// =================================================================================================
size_t RunPreprocessor(int argc, char *argv[], const bool silent, const Precision precision) {
auto errors = size_t{0};
auto passed = size_t{0};
// Retrieves the arguments
auto help = std::string{"Options given/available:\n"};
auto arguments = RetrieveCommandLineArguments(argc, argv);
const auto platform_id = GetArgument(arguments, help, kArgPlatform, ConvertArgument(std::getenv("CLBLAST_PLATFORM"), size_t{0}));
const auto device_id = GetArgument(arguments, help, kArgDevice, ConvertArgument(std::getenv("CLBLAST_DEVICE"), size_t{0}));
if (!silent) { fprintf(stdout, "\n* %s\n", help.c_str()); }
// Initializes OpenCL
const auto platform = Platform(platform_id);
const auto device = Device(platform, device_id);
const auto context = Context(device);
// Basic tests
if (TestDefines()) { passed++; } else { errors++; }
if (TestArrayToRegisterPromotion()) { passed++; } else { errors++; }
// XAXPY
const auto xaxpy_sources =
"#define WPT 2\n"
#include "../src/kernels/level1/level1.opencl"
#include "../src/kernels/level1/xaxpy.opencl"
;
if (TestKernel(device, context, "XaxpyFastest", xaxpy_sources, precision)) { passed++; } else { errors++; }
// XGER
const auto xger_sources =
"#define WPT 2\n"
#include "../src/kernels/level2/level2.opencl"
#include "../src/kernels/level2/xger.opencl"
;
if (TestKernel(device, context, "Xger", xger_sources, precision)) { passed++; } else { errors++; }
// XGEMV
const auto xgemv_sources =
"#define WPT1 2\n"
"#define WPT2 2\n"
"#define WPT3 2\n"
"#define UNROLL1 4\n"
"#define VW2 2\n"
#include "../src/kernels/level2/xgemv.opencl"
#include "../src/kernels/level2/xgemv_fast.opencl"
;
if (TestKernel(device, context, "XgemvFast", xgemv_sources, precision)) { passed++; } else { errors++; }
// CopyFast
const auto copy_fast_sources =
"#define COPY_WPT 2\n"
#include "../src/kernels/level3/level3.opencl"
#include "../src/kernels/level3/copy_fast.opencl"
;
if (TestKernel(device, context, "CopyMatrixFast", copy_fast_sources, precision)) { passed++; } else { errors++; }
// CopyPad
const auto copy_pad_sources =
"#define PAD_WPTX 2\n"
"#define PAD_WPTY 2\n"
#include "../src/kernels/level3/level3.opencl"
#include "../src/kernels/level3/copy_pad.opencl"
;
if (TestKernel(device, context, "CopyPadMatrix", copy_pad_sources, precision)) { passed++; } else { errors++; }
// TransposeFast
const auto transpose_fast_sources =
"#define TRA_WPT 2\n"
#include "../src/kernels/level3/level3.opencl"
#include "../src/kernels/level3/transpose_fast.opencl"
;
if (TestKernel(device, context, "TransposeMatrixFast", transpose_fast_sources, precision)) { passed++; } else { errors++; }
// TransposePad
const auto transpose_pad_sources =
"#define PADTRA_WPT 2\n"
#include "../src/kernels/level3/level3.opencl"
#include "../src/kernels/level3/transpose_pad.opencl"
;
if (TestKernel(device, context, "TransposePadMatrix", transpose_pad_sources, precision)) { passed++; } else { errors++; }
// GEMM (in-direct)
const auto gemm_sources =
"#define KWI 2\n"
"#define MWG 16\n"
"#define NWG 16\n"
"#define SA 1\n"
#include "../src/kernels/level3/xgemm_part1.opencl"
#include "../src/kernels/level3/xgemm_part2.opencl"
#include "../src/kernels/level3/xgemm_part3.opencl"
;
if (TestKernel(device, context, "Xgemm", gemm_sources, precision)) { passed++; } else { errors++; }
// GEMM (direct)
const auto gemm_direct_sources =
"#define KWID 2\n"
"#define WGD 16\n"
#include "../src/kernels/level3/xgemm_direct_part1.opencl"
#include "../src/kernels/level3/xgemm_direct_part2.opencl"
#include "../src/kernels/level3/xgemm_direct_part3.opencl"
;
if (TestKernel(device, context, "XgemmDirectTN", gemm_direct_sources, precision)) { passed++; } else { errors++; }
// Prints and returns the statistics
std::cout << std::endl;
std::cout << " " << passed << " test(s) passed" << std::endl;
std::cout << " " << errors << " test(s) failed" << std::endl;
std::cout << std::endl;
return errors;
}
// =================================================================================================
} // namespace clblast
// Main function (not within the clblast namespace)
int main(int argc, char *argv[]) {
auto errors = size_t{0};
errors += clblast::RunPreprocessor(argc, argv, false, clblast::Precision::kSingle);
if (errors > 0) { return 1; } else { return 0; }
}
// =================================================================================================
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