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>::type
- change_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>::type
- change_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>::type
- trans(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>::type
- trans(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>>::type
- trans(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
|