| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142 | // Boost.uBLAS//// Copyright (c) 2018 Fady Essam// Copyright (c) 2018 Stefan Seefeld//// Distributed under the Boost Software License, Version 1.0.// (See accompanying file LICENSE_1_0.txt or// copy at http://www.boost.org/LICENSE_1_0.txt)#ifndef boost_numeric_ublas_opencl_transpose_hpp_#define boost_numeric_ublas_opencl_transpose_hpp_#include <boost/numeric/ublas/opencl/library.hpp>#include <boost/numeric/ublas/opencl/vector.hpp>#include <boost/numeric/ublas/opencl/matrix.hpp>// Kernel for transposition of various data types#define OPENCL_TRANSPOSITION_KERNEL(DATA_TYPE)	\"__kernel void transpose(__global "  #DATA_TYPE "* in, __global " #DATA_TYPE "* result, unsigned int width, unsigned int height) \n"                       \"{ \n"								        \"  unsigned int column_index = get_global_id(0); \n"			\"  unsigned int row_index = get_global_id(1); \n"			\"  if (column_index < width && row_index < height) \n"			\"  { \n"							      	\"    unsigned int index_in = column_index + width * row_index; \n"	\"    unsigned int index_result = row_index + height * column_index; \n"	\"    result[index_result] = in[index_in]; \n"				\"  } \n"								\"} \n"namespace boost { namespace numeric { namespace ublas { namespace opencl {template<class T, class L1, class L2>typename std::enable_if<is_numeric<T>::value>::typechange_layout(ublas::matrix<T, L1, opencl::storage> const &m,	      ublas::matrix<T, L2, opencl::storage> &result,	      compute::command_queue& queue){  assert(m.size1() == result.size1() && m.size2() == result.size2());  assert(m.device() == result.device() && m.device() == queue.get_device());  assert(!(std::is_same<L1, L2>::value));  char const *kernel;  if (std::is_same<T, float>::value)    kernel = OPENCL_TRANSPOSITION_KERNEL(float);  else if (std::is_same<T, double>::value)    kernel = OPENCL_TRANSPOSITION_KERNEL(double);  else if (std::is_same<T, std::complex<float>>::value)    kernel = OPENCL_TRANSPOSITION_KERNEL(float2);  else if (std::is_same<T, std::complex<double>>::value)    kernel = OPENCL_TRANSPOSITION_KERNEL(double2);  size_t len = strlen(kernel);  cl_int err;  cl_context c_context = queue.get_context().get();  cl_program program = clCreateProgramWithSource(c_context, 1, &kernel, &len, &err);  clBuildProgram(program, 1, &queue.get_device().get(), NULL, NULL, NULL);  cl_kernel c_kernel = clCreateKernel(program, "transpose", &err);  size_t width = std::is_same < L1, ublas::basic_row_major<>>::value ? m.size2() : m.size1();  size_t height = std::is_same < L1, ublas::basic_row_major<>>::value ? m.size1() : m.size2();  size_t global_size[2] = { width , height };  clSetKernelArg(c_kernel, 0, sizeof(T*), &m.begin().get_buffer().get());  clSetKernelArg(c_kernel, 1, sizeof(T*), &result.begin().get_buffer().get());  clSetKernelArg(c_kernel, 2, sizeof(unsigned int), &width);  clSetKernelArg(c_kernel, 3, sizeof(unsigned int), &height);  cl_command_queue c_queue = queue.get();  cl_event event = NULL;  clEnqueueNDRangeKernel(c_queue, c_kernel, 2, NULL, global_size, NULL, 0, NULL, &event);  clWaitForEvents(1, &event);}template<class T, class L1, class L2, class A>typename std::enable_if<is_numeric<T>::value>::typechange_layout(ublas::matrix<T, L1, A> const &m,	      ublas::matrix<T, L2, A> &result,	      compute::command_queue& queue){  ublas::matrix<T, L1, opencl::storage> mdev(m, queue);  ublas::matrix<T, L2, opencl::storage> rdev(result.size1(), result.size2(), queue.get_context());  change_layout(mdev, rdev, queue);  rdev.to_host(result, queue);}template<class T, class L>typename std::enable_if<is_numeric<T>::value>::typetrans(ublas::matrix<T, L, opencl::storage> const &m,      ublas::matrix<T, L, opencl::storage> &result,      compute::command_queue& queue){  assert(m.size1() == result.size2() && m.size2() == result.size1());  assert(m.device() == result.device() && m.device() == queue.get_device());  char const *kernel;  if (std::is_same<T, float>::value)    kernel = OPENCL_TRANSPOSITION_KERNEL(float);  else if (std::is_same<T, double>::value)    kernel = OPENCL_TRANSPOSITION_KERNEL(double);  else if (std::is_same<T, std::complex<float>>::value)    kernel = OPENCL_TRANSPOSITION_KERNEL(float2);  else if (std::is_same<T, std::complex<double>>::value)    kernel = OPENCL_TRANSPOSITION_KERNEL(double2);  size_t len = strlen(kernel);  cl_int err;  cl_context c_context = queue.get_context().get();  cl_program program = clCreateProgramWithSource(c_context, 1, &kernel, &len, &err);  clBuildProgram(program, 1, &queue.get_device().get(), NULL, NULL, NULL);  cl_kernel c_kernel = clCreateKernel(program, "transpose", &err);  size_t width = std::is_same <L, ublas::basic_row_major<>>::value ? m.size2() : m.size1();  size_t height = std::is_same <L, ublas::basic_row_major<>>::value ? m.size1() : m.size2();  size_t global_size[2] = { width , height };  clSetKernelArg(c_kernel, 0, sizeof(T*), &m.begin().get_buffer().get());  clSetKernelArg(c_kernel, 1, sizeof(T*), &result.begin().get_buffer().get());  clSetKernelArg(c_kernel, 2, sizeof(unsigned int), &width);  clSetKernelArg(c_kernel, 3, sizeof(unsigned int), &height);  cl_command_queue c_queue = queue.get();  cl_event event = NULL;  clEnqueueNDRangeKernel(c_queue, c_kernel, 2, NULL, global_size, NULL, 0, NULL, &event);  clWaitForEvents(1, &event);}template<class T, class L, class A>typename std::enable_if<is_numeric<T>::value>::typetrans(ublas::matrix<T, L, A> const &m,      ublas::matrix<T, L, A> &result,      compute::command_queue& queue){  ublas::matrix<T, L, opencl::storage> mdev(m, queue);  ublas::matrix<T, L, opencl::storage> rdev(result.size1(), result.size2(), queue.get_context());  trans(mdev, rdev, queue);  rdev.to_host(result, queue);}template<class T, class L, class A>typename std::enable_if<is_numeric<T>::value, ublas::matrix<T, L, A>>::typetrans(ublas::matrix<T, L, A>& m, compute::command_queue& queue){  ublas::matrix<T, L, A> result(m.size2(), m.size1());  trans(m, result, queue);  return result;}}}}}#endif
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