mirror of
https://github.com/CNugteren/CLBlast.git
synced 2024-08-21 04:22:27 +02:00
173 lines
7.6 KiB
C++
173 lines
7.6 KiB
C++
|
|
// =================================================================================================
|
|
// 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 a class with static methods to describe the Xhad routine. Examples of
|
|
// such 'descriptions' are how to calculate the size a of buffer or how to run the routine. These
|
|
// static methods are used by the correctness tester and the performance tester.
|
|
//
|
|
// =================================================================================================
|
|
|
|
#ifndef CLBLAST_TEST_ROUTINES_XHAD_H_
|
|
#define CLBLAST_TEST_ROUTINES_XHAD_H_
|
|
|
|
#include "test/routines/common.hpp"
|
|
|
|
namespace clblast {
|
|
// =================================================================================================
|
|
|
|
template <typename T>
|
|
StatusCode RunReference(const Arguments<T> &args, BuffersHost<T> &buffers_host) {
|
|
for (auto index = size_t{0}; index < args.n; ++index) {
|
|
const auto x = buffers_host.x_vec[index * args.x_inc + args.x_offset];
|
|
const auto y = buffers_host.y_vec[index * args.y_inc + args.y_offset];
|
|
const auto z = buffers_host.c_mat[index]; // * args.z_inc + args.z_offset];
|
|
buffers_host.c_mat[index] = args.alpha * x * y + args.beta * z;
|
|
}
|
|
return StatusCode::kSuccess;
|
|
}
|
|
|
|
// Half-precision version calling the above reference implementation after conversions
|
|
template <>
|
|
StatusCode RunReference<half>(const Arguments<half> &args, BuffersHost<half> &buffers_host) {
|
|
auto x_buffer2 = HalfToFloatBuffer(buffers_host.x_vec);
|
|
auto y_buffer2 = HalfToFloatBuffer(buffers_host.y_vec);
|
|
auto c_buffer2 = HalfToFloatBuffer(buffers_host.c_mat);
|
|
auto dummy = std::vector<float>(0);
|
|
auto buffers2 = BuffersHost<float>{x_buffer2, y_buffer2, dummy, dummy, c_buffer2, dummy, dummy};
|
|
auto args2 = Arguments<float>();
|
|
args2.x_size = args.x_size; args2.y_size = args.y_size; args2.c_size = args.c_size;
|
|
args2.x_inc = args.x_inc; args2.y_inc = args.y_inc; args2.n = args.n;
|
|
args2.x_offset = args.x_offset; args2.y_offset = args.y_offset;
|
|
args2.alpha = HalfToFloat(args.alpha); args2.beta = HalfToFloat(args.beta);
|
|
auto status = RunReference(args2, buffers2);
|
|
FloatToHalfBuffer(buffers_host.c_mat, buffers2.c_mat);
|
|
return status;
|
|
}
|
|
|
|
// =================================================================================================
|
|
|
|
// See comment at top of file for a description of the class
|
|
template <typename T>
|
|
class TestXhad {
|
|
public:
|
|
|
|
// The BLAS level: 4 for the extra routines (note: tested with matrix-size values for 'n')
|
|
static size_t BLASLevel() { return 4; }
|
|
|
|
// The list of arguments relevant for this routine
|
|
static std::vector<std::string> GetOptions() {
|
|
return {kArgN,
|
|
kArgXInc, kArgYInc,
|
|
kArgXOffset, kArgYOffset,
|
|
kArgAlpha, kArgBeta};
|
|
}
|
|
static std::vector<std::string> BuffersIn() { return {kBufVecX, kBufVecY, kBufMatC}; }
|
|
static std::vector<std::string> BuffersOut() { return {kBufMatC}; }
|
|
|
|
// Describes how to obtain the sizes of the buffers
|
|
static size_t GetSizeX(const Arguments<T> &args) {
|
|
return args.n * args.x_inc + args.x_offset;
|
|
}
|
|
static size_t GetSizeY(const Arguments<T> &args) {
|
|
return args.n * args.y_inc + args.y_offset;
|
|
}
|
|
static size_t GetSizeC(const Arguments<T> &args) { // used for 'vector z'
|
|
return args.n; // * args.z_inc + args.z_offset;
|
|
}
|
|
|
|
// Describes how to set the sizes of all the buffers
|
|
static void SetSizes(Arguments<T> &args, Queue&) {
|
|
args.x_size = GetSizeX(args);
|
|
args.y_size = GetSizeY(args);
|
|
args.c_size = GetSizeC(args); // used for 'vector z'
|
|
}
|
|
|
|
// Describes what the default values of the leading dimensions of the matrices are
|
|
static size_t DefaultLDA(const Arguments<T> &) { return 1; } // N/A for this routine
|
|
static size_t DefaultLDB(const Arguments<T> &) { return 1; } // N/A for this routine
|
|
static size_t DefaultLDC(const Arguments<T> &) { return 1; } // N/A for this routine
|
|
|
|
// Describes which transpose options are relevant for this routine
|
|
using Transposes = std::vector<Transpose>;
|
|
static Transposes GetATransposes(const Transposes &) { return {}; } // N/A for this routine
|
|
static Transposes GetBTransposes(const Transposes &) { return {}; } // N/A for this routine
|
|
|
|
// Describes how to prepare the input data
|
|
static void PrepareData(const Arguments<T>&, Queue&, const int, std::vector<T>&,
|
|
std::vector<T>&, std::vector<T>&, std::vector<T>&, std::vector<T>&,
|
|
std::vector<T>&, std::vector<T>&) {} // N/A for this routine
|
|
|
|
// Describes how to run the CLBlast routine
|
|
static StatusCode RunRoutine(const Arguments<T> &args, Buffers<T> &buffers, Queue &queue) {
|
|
#ifdef OPENCL_API
|
|
auto queue_plain = queue();
|
|
auto event = cl_event{};
|
|
auto status = Had(args.n, args.alpha,
|
|
buffers.x_vec(), args.x_offset, args.x_inc,
|
|
buffers.y_vec(), args.y_offset, args.y_inc, args.beta,
|
|
buffers.c_mat(), 0, 1, // used for 'vector z'
|
|
&queue_plain, &event);
|
|
if (status == StatusCode::kSuccess) { clWaitForEvents(1, &event); clReleaseEvent(event); }
|
|
#elif CUDA_API
|
|
auto status = Had(args.n, args.alpha,
|
|
buffers.x_vec(), args.x_offset, args.x_inc,
|
|
buffers.y_vec(), args.y_offset, args.y_inc, args.beta,
|
|
buffers.c_mat(), 0, 1, // used for 'vector z'
|
|
queue.GetContext()(), queue.GetDevice()());
|
|
cuStreamSynchronize(queue());
|
|
#endif
|
|
return status;
|
|
}
|
|
|
|
// Describes how to run a naive version of the routine (for correctness/performance comparison).
|
|
// Note that a proper clBLAS or CPU BLAS comparison is not available for non-BLAS routines.
|
|
static StatusCode RunReference1(const Arguments<T> &args, Buffers<T> &buffers, Queue &queue) {
|
|
auto buffers_host = BuffersHost<T>();
|
|
DeviceToHost(args, buffers, buffers_host, queue, BuffersIn());
|
|
const auto status = RunReference(args, buffers_host);
|
|
HostToDevice(args, buffers, buffers_host, queue, BuffersOut());
|
|
return status;
|
|
}
|
|
|
|
static StatusCode RunReference2(const Arguments<T> &args, BuffersHost<T> &buffers_host, Queue&) {
|
|
return RunReference(args, buffers_host);
|
|
}
|
|
static StatusCode RunReference3(const Arguments<T> &, BuffersCUDA<T> &, Queue &) {
|
|
return StatusCode::kUnknownError;
|
|
}
|
|
|
|
// Describes how to download the results of the computation (more importantly: which buffer)
|
|
static std::vector<T> DownloadResult(const Arguments<T> &args, Buffers<T> &buffers, Queue &queue) {
|
|
std::vector<T> result(args.c_size, static_cast<T>(0));
|
|
buffers.c_mat.Read(queue, args.c_size, result);
|
|
return result;
|
|
}
|
|
|
|
// Describes how to compute the indices of the result buffer
|
|
static size_t ResultID1(const Arguments<T> &args) { return args.n; }
|
|
static size_t ResultID2(const Arguments<T> &) { return 1; } // N/A for this routine
|
|
static size_t GetResultIndex(const Arguments<T> &args, const size_t id1, const size_t) {
|
|
return id1; // * args.z_inc + args.z_offset;
|
|
}
|
|
|
|
// Describes how to compute performance metrics
|
|
static size_t GetFlops(const Arguments<T> &args) {
|
|
return 4 * args.n;
|
|
}
|
|
static size_t GetBytes(const Arguments<T> &args) {
|
|
return (4 * args.n) * sizeof(T);
|
|
}
|
|
};
|
|
|
|
// =================================================================================================
|
|
} // namespace clblast
|
|
|
|
// CLBLAST_TEST_ROUTINES_XHAD_H_
|
|
#endif
|