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178 lines
8 KiB
C++
178 lines
8 KiB
C++
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// =================================================================================================
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// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
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// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
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// width of 100 characters per line.
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//
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// Author(s):
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// Cedric Nugteren <www.cedricnugteren.nl>
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//
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// This file implements a class with static methods to describe the XaxpyBatched routine. Examples of
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// such 'descriptions' are how to calculate the size a of buffer or how to run the routine. These
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// static methods are used by the correctness tester and the performance tester.
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//
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// =================================================================================================
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#ifndef CLBLAST_TEST_ROUTINES_XAXPYBATCHED_H_
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#define CLBLAST_TEST_ROUTINES_XAXPYBATCHED_H_
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#include "test/routines/common.hpp"
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namespace clblast {
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// =================================================================================================
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// See comment at top of file for a description of the class
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template <typename T>
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class TestXaxpyBatched {
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public:
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// Although it is a non-BLAS routine, it can still be tested against level-1 routines in a loop
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static size_t BLASLevel() { return 1; }
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// The list of arguments relevant for this routine
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static std::vector<std::string> GetOptions() {
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return {kArgN,
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kArgXInc, kArgYInc,
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kArgBatchCount, kArgAlpha};
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}
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static std::vector<std::string> BuffersIn() { return {kBufVecX, kBufVecY}; }
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static std::vector<std::string> BuffersOut() { return {kBufVecY}; }
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// Helper for the sizes per batch
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static size_t PerBatchSizeX(const Arguments<T> &args) { return args.n * args.x_inc; }
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static size_t PerBatchSizeY(const Arguments<T> &args) { return args.n * args.y_inc; }
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// Describes how to obtain the sizes of the buffers
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static size_t GetSizeX(const Arguments<T> &args) {
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return PerBatchSizeX(args) * args.batch_count + args.x_offset;
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}
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static size_t GetSizeY(const Arguments<T> &args) {
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return PerBatchSizeY(args) * args.batch_count + args.y_offset;
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}
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// Describes how to set the sizes of all the buffers
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static void SetSizes(Arguments<T> &args, Queue&) {
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args.x_size = GetSizeX(args);
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args.y_size = GetSizeY(args);
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// Also sets the batch-related variables
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args.x_offsets = std::vector<size_t>(args.batch_count);
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args.y_offsets = std::vector<size_t>(args.batch_count);
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args.alphas = std::vector<T>(args.batch_count);
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for (auto batch = size_t{0}; batch < args.batch_count; ++batch) {
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args.x_offsets[batch] = batch * PerBatchSizeX(args) + args.x_offset;
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args.y_offsets[batch] = batch * PerBatchSizeY(args) + args.y_offset;
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args.alphas[batch] = args.alpha + Constant<T>(static_cast<double>(batch + 1));
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}
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}
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// Describes what the default values of the leading dimensions of the matrices are
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static size_t DefaultLDA(const Arguments<T> &) { return 1; } // N/A for this routine
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static size_t DefaultLDB(const Arguments<T> &) { return 1; } // N/A for this routine
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static size_t DefaultLDC(const Arguments<T> &) { return 1; } // N/A for this routine
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// Describes which transpose options are relevant for this routine
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using Transposes = std::vector<Transpose>;
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static Transposes GetATransposes(const Transposes &) { return {}; } // N/A for this routine
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static Transposes GetBTransposes(const Transposes &) { return {}; } // N/A for this routine
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// Describes how to prepare the input data
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static void PrepareData(const Arguments<T>&, Queue&, const int, std::vector<T>&,
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std::vector<T>&, std::vector<T>&, std::vector<T>&, std::vector<T>&,
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std::vector<T>&, std::vector<T>&) {} // N/A for this routine
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// Describes how to run the CLBlast routine
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static StatusCode RunRoutine(const Arguments<T> &args, Buffers<T> &buffers, Queue &queue) {
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#ifdef OPENCL_API
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auto queue_plain = queue();
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auto event = cl_event{};
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auto status = AxpyBatched(args.n, args.alphas.data(),
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buffers.x_vec(), args.x_offsets.data(), args.x_inc,
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buffers.y_vec(), args.y_offsets.data(), args.y_inc,
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args.batch_count,
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&queue_plain, &event);
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if (status == StatusCode::kSuccess) { clWaitForEvents(1, &event); clReleaseEvent(event); }
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#elif CUDA_API
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auto status = AxpyBatched(args.n, args.alphas.data(),
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buffers.x_vec(), args.x_offsets.data(), args.x_inc,
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buffers.y_vec(), args.y_offsets.data(), args.y_inc,
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args.batch_count,
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queue.GetContext()(), queue.GetDevice()());
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cuStreamSynchronize(queue());
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#endif
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return status;
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}
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// Describes how to run the clBLAS routine (for correctness/performance comparison)
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#ifdef CLBLAST_REF_CLBLAS
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static StatusCode RunReference1(const Arguments<T> &args, Buffers<T> &buffers, Queue &queue) {
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auto queue_plain = queue();
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for (auto batch = size_t{0}; batch < args.batch_count; ++batch) {
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auto event = cl_event{};
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auto status = clblasXaxpy(args.n, args.alphas[batch],
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buffers.x_vec, args.x_offsets[batch], args.x_inc,
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buffers.y_vec, args.y_offsets[batch], args.y_inc,
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1, &queue_plain, 0, nullptr, &event);
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clWaitForEvents(1, &event);
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if (static_cast<StatusCode>(status) != StatusCode::kSuccess) {
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return static_cast<StatusCode>(status);
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}
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}
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return StatusCode::kSuccess;
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}
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#endif
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// Describes how to run the CPU BLAS routine (for correctness/performance comparison)
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#ifdef CLBLAST_REF_CBLAS
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static StatusCode RunReference2(const Arguments<T> &args, BuffersHost<T> &buffers_host, Queue &) {
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for (auto batch = size_t{0}; batch < args.batch_count; ++batch) {
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cblasXaxpy(args.n, args.alphas[batch],
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buffers_host.x_vec, args.x_offsets[batch], args.x_inc,
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buffers_host.y_vec, args.y_offsets[batch], args.y_inc);
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}
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return StatusCode::kSuccess;
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}
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#endif
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// Describes how to run the cuBLAS routine (for correctness/performance comparison)
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#ifdef CLBLAST_REF_CUBLAS
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static StatusCode RunReference3(const Arguments<T> &args, BuffersCUDA<T> &buffers, Queue &) {
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for (auto batch = size_t{0}; batch < args.batch_count; ++batch) {
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auto status = cublasXaxpy(reinterpret_cast<cublasHandle_t>(args.cublas_handle), args.n, args.alphas[batch],
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buffers.x_vec, args.x_offsets[batch], args.x_inc,
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buffers.y_vec, args.y_offsets[batch], args.y_inc);
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if (status != CUBLAS_STATUS_SUCCESS) { return StatusCode::kUnknownError; }
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}
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return StatusCode::kSuccess;
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}
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#endif
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// Describes how to download the results of the computation
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static std::vector<T> DownloadResult(const Arguments<T> &args, Buffers<T> &buffers, Queue &queue) {
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std::vector<T> result(args.y_size, static_cast<T>(0));
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buffers.y_vec.Read(queue, args.y_size, result);
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return result;
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}
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// Describes how to compute the indices of the result buffer
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static size_t ResultID1(const Arguments<T> &args) { return args.n; }
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static size_t ResultID2(const Arguments<T> &args) { return args.batch_count; }
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static size_t GetResultIndex(const Arguments<T> &args, const size_t id1, const size_t id2) {
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return (id1 * args.y_inc) + args.y_offsets[id2];
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}
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// Describes how to compute performance metrics
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static size_t GetFlops(const Arguments<T> &args) {
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return args.batch_count * (2 * args.n);
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}
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static size_t GetBytes(const Arguments<T> &args) {
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return args.batch_count * (3 * args.n) * sizeof(T);
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}
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};
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// =================================================================================================
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} // namespace clblast
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// CLBLAST_TEST_ROUTINES_XAXPYBATCHED_H_
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#endif
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