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- //---------------------------------------------------------------------------//
- // Copyright (c) 2013-2014 Kyle Lutz <kyle.r.lutz@gmail.com>
- //
- // 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
- //
- // See http://boostorg.github.com/compute for more information.
- //---------------------------------------------------------------------------//
- #define BOOST_TEST_MODULE TestInteropEigen
- #include <boost/test/unit_test.hpp>
- #include <boost/compute/closure.hpp>
- #include <boost/compute/system.hpp>
- #include <boost/compute/container/vector.hpp>
- #include <boost/compute/algorithm/transform.hpp>
- #include <boost/compute/interop/eigen.hpp>
- #include "check_macros.hpp"
- #include "context_setup.hpp"
- namespace bcl = boost::compute;
- BOOST_AUTO_TEST_CASE(eigen)
- {
- Eigen::MatrixXf mat(3, 3);
- mat << 1, 2, 3,
- 6, 5, 4,
- 7, 8, 9;
- // copy matrix to gpu buffer
- bcl::vector<float> vec(9, context);
- bcl::eigen_copy_matrix_to_buffer(mat, vec.begin(), queue);
- CHECK_RANGE_EQUAL(float, 9, vec, (1, 6, 7, 2, 5, 8, 3, 4, 9));
- // transpose matrix and then copy to gpu buffer
- mat = mat.transpose().eval();
- bcl::eigen_copy_matrix_to_buffer(mat, vec.begin(), queue);
- CHECK_RANGE_EQUAL(float, 9, vec, (1, 2, 3, 6, 5, 4, 7, 8, 9));
- // set matrix to zero and copy data back from gpu buffer
- mat.setZero();
- bcl::eigen_copy_buffer_to_matrix(vec.begin(), mat, queue);
- BOOST_CHECK(mat.isZero() == false);
- BOOST_CHECK_EQUAL(mat.sum(), 45);
- }
- BOOST_AUTO_TEST_CASE(eigen_types)
- {
- BOOST_CHECK(std::strcmp(bcl::type_name<Eigen::Vector2i>(), "int2") == 0);
- BOOST_CHECK(std::strcmp(bcl::type_name<Eigen::Vector2f>(), "float2") == 0);
- BOOST_CHECK(std::strcmp(bcl::type_name<Eigen::Vector4f>(), "float4") == 0);
- BOOST_CHECK(std::strcmp(bcl::type_name<Eigen::Vector4d>(), "double4") == 0);
- }
- BOOST_AUTO_TEST_CASE(multiply_matrix4)
- {
- std::vector<Eigen::Vector4f> host_vectors;
- std::vector<Eigen::Matrix4f> host_matrices;
- Eigen::Matrix4f matrix;
- matrix << 1, 2, 0, 3,
- 2, 1, 2, 0,
- 0, 3, 1, 2,
- 2, 0, 2, 1;
- host_vectors.push_back(Eigen::Vector4f(1, 2, 3, 4));
- host_vectors.push_back(Eigen::Vector4f(4, 3, 2, 1));
- host_vectors.push_back(Eigen::Vector4f(1, 2, 3, 4));
- host_vectors.push_back(Eigen::Vector4f(4, 3, 2, 1));
- // store the eigen 4x4 matrix as a float16
- bcl::float16_ M =
- bcl::eigen_matrix4f_to_float16(matrix);
- // returns the result of M*x
- BOOST_COMPUTE_CLOSURE(Eigen::Vector4f, transform4x4, (const Eigen::Vector4f x), (M),
- {
- float4 r;
- r.x = dot(M.s048c, x);
- r.y = dot(M.s159d, x);
- r.z = dot(M.s26ae, x);
- r.w = dot(M.s37bf, x);
- return r;
- });
- bcl::vector<Eigen::Vector4f> vectors(4, context);
- bcl::vector<Eigen::Vector4f> results(4, context);
- bcl::copy(host_vectors.begin(), host_vectors.end(), vectors.begin(), queue);
- bcl::transform(
- vectors.begin(), vectors.end(), results.begin(), transform4x4, queue
- );
- std::vector<Eigen::Vector4f> host_results(4);
- bcl::copy(results.begin(), results.end(), host_results.begin(), queue);
- BOOST_CHECK((matrix * host_vectors[0]) == host_results[0]);
- BOOST_CHECK((matrix * host_vectors[1]) == host_results[1]);
- BOOST_CHECK((matrix * host_vectors[2]) == host_results[2]);
- BOOST_CHECK((matrix * host_vectors[3]) == host_results[3]);
- }
- BOOST_AUTO_TEST_SUITE_END()
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