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// 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_prod_hpp_
#define boost_numeric_ublas_opencl_prod_hpp_
#include <boost/numeric/ublas/opencl/library.hpp>
#include <boost/numeric/ublas/opencl/vector.hpp>
#include <boost/numeric/ublas/opencl/matrix.hpp>
#include <boost/numeric/ublas/opencl/transpose.hpp>
#include <boost/compute/buffer.hpp>
namespace boost { namespace numeric { namespace ublas { namespace opencl {
#define ONE_DOUBLE_COMPLEX {{1.0, 00.0}}
#define ONE_FLOAT_COMPLEX {{1.0f, 00.0f}}
template <typename T, typename L1, typename L2>
typename std::enable_if<is_numeric<T>::value>::type
prod(ublas::matrix<T, L1, opencl::storage> const &a,
ublas::matrix<T, L2, opencl::storage> const &b,
ublas::matrix<T, L1, opencl::storage> &result,
compute::command_queue &queue)
{
assert(a.device() == b.device() &&
a.device() == result.device() &&
a.device() == queue.get_device());
assert(a.size2() == b.size1());
result.fill(0, queue);
//to hold matrix b with layout 1 if the b has different layout
std::unique_ptr<ublas::matrix<T, L1, opencl::storage>> bl1;
cl_event event = NULL;
cl_mem buffer_a = a.begin().get_buffer().get();
cl_mem buffer_b = b.begin().get_buffer().get();
cl_mem buffer_result = result.begin().get_buffer().get();
if (!(std::is_same<L1, L2>::value))
{
bl1.reset(new ublas::matrix<T, L1, opencl::storage>(b.size1(), b.size2(), queue.get_context()));
change_layout(b, *bl1, queue);
buffer_b = bl1->begin().get_buffer().get();
}
clblasOrder Order = std::is_same<L1, ublas::basic_row_major<> >::value ? clblasRowMajor : clblasColumnMajor;
size_t lda = Order == clblasRowMajor ? a.size2() : a.size1();
size_t ldb = Order == clblasRowMajor ? b.size2() : a.size2();
size_t ldc = Order == clblasRowMajor ? b.size2() : a.size1();
if (std::is_same<T, float>::value)
clblasSgemm(Order, clblasNoTrans, clblasNoTrans,
a.size1(), b.size2(), a.size2(),
1, buffer_a, 0, lda,
buffer_b, 0, ldb, 1,
buffer_result, 0, ldc,
1, &(queue.get()), 0, NULL, &event);
else if (std::is_same<T, double>::value)
clblasDgemm(Order, clblasNoTrans, clblasNoTrans,
a.size1(), b.size2(), a.size2(),
1, buffer_a, 0, lda,
buffer_b, 0, ldb, 1,
buffer_result, 0, ldc,
1, &(queue.get()), 0, NULL, &event);
else if (std::is_same<T, std::complex<float>>::value)
clblasCgemm(Order, clblasNoTrans, clblasNoTrans,
a.size1(), b.size2(), a.size2(),
ONE_FLOAT_COMPLEX, buffer_a, 0, lda,
buffer_b, 0, ldb, ONE_FLOAT_COMPLEX,
buffer_result, 0, ldc,
1, &(queue.get()), 0, NULL, &event);
else if (std::is_same<T, std::complex<double>>::value)
clblasZgemm(Order, clblasNoTrans, clblasNoTrans,
a.size1(), b.size2(), a.size2(),
ONE_DOUBLE_COMPLEX, buffer_a, 0, lda,
buffer_b, 0, ldb, ONE_DOUBLE_COMPLEX,
buffer_result, 0, ldc,
1, &(queue.get()), 0, NULL, &event);
clWaitForEvents(1, &event);
}
template <typename T, typename L1, typename L2, typename A>
typename std::enable_if<is_numeric<T>::value>::type
prod(ublas::matrix<T, L1, A> const &a,
ublas::matrix<T, L2, A> const &b,
ublas::matrix<T, L1, A> &result,
compute::command_queue &queue)
{
ublas::matrix<T, L1, opencl::storage> adev(a, queue);
ublas::matrix<T, L2, opencl::storage> bdev(b, queue);
ublas::matrix<T, L1, opencl::storage> rdev(a.size1(), b.size2(), queue.get_context());
prod(adev, bdev, rdev, queue);
rdev.to_host(result,queue);
}
template <typename T, typename L1, typename L2, typename A>
typename std::enable_if<is_numeric<T>::value, ublas::matrix<T, L1, A>>::type
prod(ublas::matrix<T, L1, A> const &a,
ublas::matrix<T, L2, A> const &b,
compute::command_queue &queue)
{
ublas::matrix<T, L1, A> result(a.size1(), b.size2());
prod(a, b, result, queue);
return result;
}
template <typename T, typename L>
typename std::enable_if<is_numeric<T>::value>::type
prod(ublas::matrix<T, L, opencl::storage> const &a,
ublas::vector<T, opencl::storage> const &b,
ublas::vector<T, opencl::storage> &result,
compute::command_queue &queue)
{
assert(a.device() == b.device() &&
a.device() == result.device() &&
a.device() == queue.get_device());
assert(a.size2() == b.size());
result.fill(0, queue);
cl_event event = NULL;
clblasOrder Order = std::is_same<L, ublas::basic_row_major<> >::value ? clblasRowMajor : clblasColumnMajor;
int lda = Order == clblasRowMajor ? a.size2() : a.size1();
int ldb = Order == clblasRowMajor ? 1 : a.size2();
int ldc = Order == clblasRowMajor ? 1 : a.size1();
if (std::is_same<T, float>::value)
clblasSgemm(Order, clblasNoTrans, clblasNoTrans,
a.size1(), 1, a.size2(),
1, a.begin().get_buffer().get(), 0, lda,
b.begin().get_buffer().get(), 0, ldb, 1,
result.begin().get_buffer().get(), 0, ldc,
1, &(queue.get()), 0, NULL, &event);
else if (std::is_same<T, double>::value)
clblasDgemm(Order, clblasNoTrans, clblasNoTrans,
a.size1(), 1, a.size2(),
1, a.begin().get_buffer().get(), 0, lda,
b.begin().get_buffer().get(), 0, ldb, 1,
result.begin().get_buffer().get(), 0, ldc,
1, &(queue.get()), 0, NULL, &event);
else if (std::is_same<T, std::complex<float>>::value)
clblasCgemm(Order, clblasNoTrans, clblasNoTrans,
a.size1(), 1, a.size2(),
ONE_FLOAT_COMPLEX, a.begin().get_buffer().get(), 0, lda,
b.begin().get_buffer().get(), 0, ldb, ONE_FLOAT_COMPLEX,
result.begin().get_buffer().get(), 0, ldc,
1, &(queue.get()), 0, NULL, &event);
else if (std::is_same<T, std::complex<double>>::value)
clblasZgemm(Order, clblasNoTrans, clblasNoTrans,
a.size1(), 1, a.size2(),
ONE_DOUBLE_COMPLEX, a.begin().get_buffer().get(), 0, lda,
b.begin().get_buffer().get(), 0, ldb, ONE_DOUBLE_COMPLEX,
result.begin().get_buffer().get(), 0, ldc,
1, &(queue.get()), 0, NULL, &event);
clWaitForEvents(1, &event);
}
template <typename T, typename L, typename A>
typename std::enable_if<is_numeric<T>::value>::type
prod(ublas::matrix<T, L, A> const &a,
ublas::vector<T, A> const &b,
ublas::vector<T, A> &result,
compute::command_queue &queue)
{
ublas::matrix<T, L, opencl::storage> adev(a, queue);
ublas::vector<T, opencl::storage> bdev(b, queue);
ublas::vector<T, opencl::storage> rdev(a.size1(), queue.get_context());
prod(adev, bdev, rdev, queue);
rdev.to_host(result, queue);
}
template <typename T, typename L, typename A>
typename std::enable_if<is_numeric<T>::value, ublas::vector<T, A>>::type
prod(ublas::matrix<T, L, A> const &a,
ublas::vector<T, A> const &b,
compute::command_queue &queue)
{
ublas::vector<T, A> result(a.size1());
prod(a, b, result, queue);
return result;
}
template <typename T, typename L>
typename std::enable_if<is_numeric<T>::value>::type
prod(ublas::vector<T, opencl::storage> const &a,
ublas::matrix<T, L, opencl::storage> const &b,
ublas::vector<T, opencl::storage> &result,
compute::command_queue &queue)
{
assert(a.device() == b.device() &&
a.device() == result.device() &&
a.device() == queue.get_device());
assert(a.size() == b.size1());
result.fill(0, queue);
cl_event event = NULL;
clblasOrder Order = std::is_same<L, ublas::basic_row_major<> >::value ? clblasRowMajor : clblasColumnMajor;
size_t lda = Order == clblasRowMajor ? a.size() : 1;
size_t ldb = Order == clblasRowMajor ? b.size2() : a.size();
size_t ldc = Order == clblasRowMajor ? b.size2() : 1;
if (std::is_same<T, float>::value)
clblasSgemm(Order, clblasNoTrans, clblasNoTrans,
1, b.size2(), a.size(),
1, a.begin().get_buffer().get(), 0, lda,
b.begin().get_buffer().get(), 0, ldb, 1,
result.begin().get_buffer().get(), 0, ldc,
1, &(queue.get()), 0, NULL, &event);
else if (std::is_same<T, double>::value)
clblasDgemm(Order, clblasNoTrans, clblasNoTrans,
1, b.size2(), a.size(),
1, a.begin().get_buffer().get(), 0, lda,
b.begin().get_buffer().get(), 0, ldb, 1,
result.begin().get_buffer().get(), 0, ldc,
1, &(queue.get()), 0, NULL, &event);
else if (std::is_same<T, std::complex<float>>::value)
clblasCgemm(Order, clblasNoTrans, clblasNoTrans,
1, b.size2(), a.size(),
ONE_FLOAT_COMPLEX, a.begin().get_buffer().get(), 0, lda,
b.begin().get_buffer().get(), 0, ldb, ONE_FLOAT_COMPLEX,
result.begin().get_buffer().get(), 0, ldc,
1, &(queue.get()), 0, NULL, &event);
else if (std::is_same<T, std::complex<double>>::value)
clblasZgemm(Order, clblasNoTrans, clblasNoTrans,
1, b.size2(), a.size(),
ONE_DOUBLE_COMPLEX, a.begin().get_buffer().get(), 0, lda,
b.begin().get_buffer().get(), 0, ldb, ONE_DOUBLE_COMPLEX,
result.begin().get_buffer().get(), 0, ldc,
1, &(queue.get()), 0, NULL, &event);
clWaitForEvents(1, &event);
}
template <class T, class L, class A>
typename std::enable_if<is_numeric<T>::value>::type
prod(ublas::vector<T, A> const &a,
ublas::matrix<T, L, A> const &b,
ublas::vector<T, A> &result,
compute::command_queue &queue)
{
ublas::vector<T, opencl::storage> adev(a, queue);
ublas::matrix<T, L, opencl::storage> bdev(b, queue);
ublas::vector<T, opencl::storage> rdev(b.size2(), queue.get_context());
prod(adev, bdev, rdev, queue);
rdev.to_host(result, queue);
}
template <class T, class L, class A>
typename std::enable_if<is_numeric<T>::value, ublas::vector<T, A>>::type
prod(ublas::vector<T, A> const &a,
ublas::matrix<T, L, A> const &b,
compute::command_queue &queue)
{
ublas::vector<T, A> result(b.size2());
prod(a, b, result, queue);
return result;
}
template<class T>
typename std::enable_if<std::is_fundamental<T>::value, T>::type
inner_prod(ublas::vector<T, opencl::storage> const &a,
ublas::vector<T, opencl::storage> const &b,
compute::command_queue &queue)
{
assert(a.device() == b.device() && a.device() == queue.get_device());
assert(a.size() == b.size());
return compute::inner_product(a.begin(), a.end(), b.begin(), T(0), queue);
}
template<class T, class A>
typename std::enable_if<std::is_fundamental<T>::value, T>::type
inner_prod(ublas::vector<T, A> const &a,
ublas::vector<T, A> const &b,
compute::command_queue& queue)
{
ublas::vector<T, opencl::storage> adev(a, queue);
ublas::vector<T, opencl::storage> bdev(b, queue);
return inner_prod(adev, bdev, queue);
}
template <class T, class L>
typename std::enable_if<is_numeric<T>::value>::type
outer_prod(ublas::vector<T, opencl::storage> const &a,
ublas::vector<T, opencl::storage> const &b,
ublas::matrix<T, L, opencl::storage> &result,
compute::command_queue & queue)
{
assert(a.device() == b.device() &&
a.device() == result.device() &&
a.device() == queue.get_device());
result.fill(0, queue);
cl_event event = NULL;
clblasOrder Order = std::is_same<L, ublas::basic_row_major<> >::value ? clblasRowMajor : clblasColumnMajor;
size_t lda = Order == clblasRowMajor ? 1 : a.size();
size_t ldb = Order == clblasRowMajor ? b.size() : 1;
size_t ldc = Order == clblasRowMajor ? b.size() : a.size();
if (std::is_same<T, float>::value)
clblasSgemm(Order, clblasNoTrans, clblasNoTrans,
a.size(), b.size(), 1,
1, a.begin().get_buffer().get(), 0, lda,
b.begin().get_buffer().get(), 0, ldb, 1,
result.begin().get_buffer().get(), 0, ldc,
1, &(queue.get()), 0, NULL, &event);
else if (std::is_same<T, double>::value)
clblasDgemm(Order, clblasNoTrans, clblasNoTrans,
a.size(), b.size(), 1,
1, a.begin().get_buffer().get(), 0, lda,
b.begin().get_buffer().get(), 0, ldb, 1,
result.begin().get_buffer().get(), 0, ldc,
1, &(queue.get()), 0, NULL, &event);
else if (std::is_same<T, std::complex<float>>::value)
clblasCgemm(Order, clblasNoTrans, clblasNoTrans,
a.size(), b.size(), 1,
ONE_FLOAT_COMPLEX, a.begin().get_buffer().get(), 0, lda,
b.begin().get_buffer().get(), 0, ldb, ONE_FLOAT_COMPLEX,
result.begin().get_buffer().get(), 0, ldc,
1, &(queue.get()), 0, NULL, &event);
else if (std::is_same<T, std::complex<double>>::value)
clblasZgemm(Order, clblasNoTrans, clblasNoTrans,
a.size(), b.size(), 1,
ONE_DOUBLE_COMPLEX, a.begin().get_buffer().get(), 0, lda,
b.begin().get_buffer().get(), 0, ldb, ONE_DOUBLE_COMPLEX,
result.begin().get_buffer().get(), 0, ldc,
1, &(queue.get()), 0, NULL, &event);
clWaitForEvents(1, &event);
}
template <class T, class L, class A>
typename std::enable_if<is_numeric<T>::value>::type
outer_prod(ublas::vector<T, A> const &a,
ublas::vector<T, A> const &b,
ublas::matrix<T, L, A> &result,
compute::command_queue &queue)
{
ublas::vector<T, opencl::storage> adev(a, queue);
ublas::vector<T, opencl::storage> bdev(b, queue);
ublas::matrix<T, L, opencl::storage> rdev(a.size(), b.size(), queue.get_context());
outer_prod(adev, bdev, rdev, queue);
rdev.to_host(result, queue);
}
template <class T,class L = ublas::basic_row_major<>, class A>
typename std::enable_if<is_numeric<T>::value, ublas::matrix<T, L, A>>::type
outer_prod(ublas::vector<T, A> const &a,
ublas::vector<T, A> const &b,
compute::command_queue &queue)
{
ublas::matrix<T, L, A> result(a.size(), b.size());
outer_prod(a, b, result, queue);
return result;
}
#undef ONE_DOUBLE_COMPLEX
#undef ONE_FLOAT_COMPLEX
}}}}
#endif