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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 implements the kernel compilation functions (see the header for more information).
+//
+// =================================================================================================
+
+#include <vector>
+#include <chrono>
+
+#include "routines/common.hpp"
+
+namespace clblast {
+// =================================================================================================
+
+// Compiles a program from source code
+Program CompileFromSource(const std::string &source_string, const Precision precision,
+ const std::string &routine_name,
+ const Device& device, const Context& context,
+ std::vector<std::string>& options) {
+ auto header_string = std::string{""};
+
+ header_string += "#define PRECISION " + ToString(static_cast<int>(precision)) + "\n";
+
+ // Adds the name of the routine as a define
+ header_string += "#define ROUTINE_" + routine_name + "\n";
+
+ // Not all OpenCL compilers support the 'inline' keyword. The keyword is only used for devices on
+ // which it is known to work with all OpenCL platforms.
+ if (device.IsNVIDIA() || device.IsARM()) {
+ header_string += "#define USE_INLINE_KEYWORD 1\n";
+ }
+
+ // For specific devices, use the non-IEE754 compliant OpenCL mad() instruction. This can improve
+ // performance, but might result in a reduced accuracy.
+ if (device.IsAMD() && device.IsGPU()) {
+ header_string += "#define USE_CL_MAD 1\n";
+ }
+
+ // For specific devices, use staggered/shuffled workgroup indices.
+ if (device.IsAMD() && device.IsGPU()) {
+ header_string += "#define USE_STAGGERED_INDICES 1\n";
+ }
+
+ // For specific devices add a global synchronisation barrier to the GEMM kernel to optimize
+ // performance through better cache behaviour
+ if (device.IsARM() && device.IsGPU()) {
+ header_string += "#define GLOBAL_MEM_FENCE 1\n";
+ }
+
+ // Optionally adds a translation header from OpenCL kernels to CUDA kernels
+ #ifdef CUDA_API
+ source_string +=
+ #include "kernels/opencl_to_cuda.h"
+ ;
+ #endif
+
+ // Loads the common header (typedefs and defines and such)
+ header_string +=
+ #include "kernels/common.opencl"
+ ;
+
+ // Prints details of the routine to compile in case of debugging in verbose mode
+ #ifdef VERBOSE
+ printf("[DEBUG] Compiling routine '%s-%s'\n",
+ routine_name.c_str(), ToString(precision).c_str());
+ const auto start_time = std::chrono::steady_clock::now();
+ #endif
+
+ // Compiles the kernel
+ auto program = Program(context, header_string + source_string);
+ try {
+ program.Build(device, options);
+ } catch (const CLCudaAPIBuildError &e) {
+ if (program.StatusIsCompilationWarningOrError(e.status())) {
+ fprintf(stdout, "OpenCL compiler error/warning: %s\n",
+ program.GetBuildInfo(device).c_str());
+ }
+ throw;
+ }
+
+ // Prints the elapsed compilation time in case of debugging in verbose mode
+ #ifdef VERBOSE
+ const auto elapsed_time = std::chrono::steady_clock::now() - start_time;
+ const auto timing = std::chrono::duration<double,std::milli>(elapsed_time).count();
+ printf("[DEBUG] Completed compilation in %.2lf ms\n", timing);
+ #endif
+
+ return program;
+}
+
+// =================================================================================================
+} // namespace clblast