ublas/test/tensor/test_expression.cpp

//  Copyright (c) 2018-2019 Cem Bassoy
//
//  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)
//
//  The authors gratefully acknowledge the support of
//  Fraunhofer and Google in producing this work
//  which started as a Google Summer of Code project.
//




#include <boost/numeric/ublas/tensor/expression.hpp>
#include <boost/numeric/ublas/tensor/tensor.hpp>
#include <boost/test/unit_test.hpp>
#include "utility.hpp"

#include <functional>
#include <complex>



using test_types = zip<int,float,std::complex<float>>::with_t<boost::numeric::ublas::layout::first_order, boost::numeric::ublas::layout::last_order>;


struct fixture
{
    using extents_type = boost::numeric::ublas::extents<>;
    fixture()
      : extents {
          extents_type{},            // 0

          extents_type{1,1},         // 1
          extents_type{1,2},         // 2
          extents_type{2,1},         // 3

          extents_type{2,3},         // 4
          extents_type{2,3,1},       // 5
          extents_type{1,2,3},       // 6
          extents_type{1,1,2,3},     // 7
          extents_type{1,2,3,1,1},   // 8

          extents_type{4,2,3},       // 9
          extents_type{4,2,1,3},     // 10
          extents_type{4,2,1,3,1},   // 11
          extents_type{1,4,2,1,3,1} }  // 12
    {
    }
    std::vector<extents_type> extents;
};


BOOST_FIXTURE_TEST_CASE_TEMPLATE( test_tensor_expression_access, value,  test_types, fixture)
{
    using namespace boost::numeric;
    using value_type  = typename value::first_type;
    using layout_type = typename value::second_type;
    using tensor_type = ublas::dynamic_tensor<value_type, layout_type>;
    using tensor_expression_type  = typename tensor_type::super_type;


    for(auto const& e : extents) {

        auto v = value_type{};
        auto t = tensor_type(e);

        for(auto& tt: t){ tt = v; v+=value_type{1}; }
        const auto& tensor_expression_const = static_cast<tensor_expression_type const&>( t );

        for(auto i = 0ul; i < t.size(); ++i)
            BOOST_CHECK_EQUAL( tensor_expression_const()(i), t(i)  );

    }
}



BOOST_FIXTURE_TEST_CASE_TEMPLATE( test_tensor_unary_expression, value,  test_types, fixture)
{
    using namespace boost::numeric;
    using value_type  = typename value::first_type;
    using layout_type = typename value::second_type;
    using tensor_type = ublas::dynamic_tensor<value_type, layout_type>;

    auto uplus1 = std::bind(  std::plus<value_type>{}, std::placeholders::_1, value_type(1) );

    for(auto const& e : extents) {

        auto t = tensor_type(e);
        auto v = value_type{};
        for(auto& tt: t) { tt = v; v+=value_type{1}; }

        const auto uexpr = ublas::detail::make_unary_tensor_expression<tensor_type>( t, uplus1 );

        for(auto i = 0ul; i < t.size(); ++i)
            BOOST_CHECK_EQUAL( uexpr(i), uplus1(t(i))  );

        auto uexpr_uexpr = ublas::detail::make_unary_tensor_expression<tensor_type>( uexpr, uplus1 );

        for(auto i = 0ul; i < t.size(); ++i)
            BOOST_CHECK_EQUAL( uexpr_uexpr(i), uplus1(uplus1(t(i)))  );

        const auto & uexpr_e = uexpr.e;

        BOOST_CHECK( ( std::is_same_v< std::decay_t< decltype(uexpr_e) >, tensor_type > )   );

        const auto & uexpr_uexpr_e_e = uexpr_uexpr.e.e;

        BOOST_CHECK( ( std::is_same_v< std::decay_t< decltype(uexpr_uexpr_e_e) >, tensor_type > )   );


    }
}


BOOST_FIXTURE_TEST_CASE_TEMPLATE( test_tensor_binary_expression, value,  test_types, fixture)
{
    using namespace boost::numeric;
    using value_type  = typename value::first_type;
    using layout_type = typename value::second_type;
    using tensor_type = ublas::dynamic_tensor<value_type, layout_type>;

    auto uplus1 = std::bind(  std::plus<value_type>{}, std::placeholders::_1, value_type(1) );
    auto uplus2 = std::bind(  std::plus<value_type>{}, std::placeholders::_1, value_type(2) );
    auto bplus  = std::plus <value_type>{};
    auto bminus = std::minus<value_type>{};

    for(auto const& e : extents) {

        auto t = tensor_type(e);
        auto v = value_type{};
        for(auto& tt: t){ tt = v; v+=value_type{1}; }

        auto uexpr1 = ublas::detail::make_unary_tensor_expression<tensor_type>( t, uplus1 );
        auto uexpr2 = ublas::detail::make_unary_tensor_expression<tensor_type>( t, uplus2 );

        BOOST_CHECK( ( std::is_same_v< std::decay_t< decltype(uexpr1.e) >, tensor_type > )   );
        BOOST_CHECK( ( std::is_same_v< std::decay_t< decltype(uexpr2.e) >, tensor_type > )   );

        for(auto i = 0ul; i < t.size(); ++i)
            BOOST_CHECK_EQUAL( uexpr1(i), uplus1(t(i))  );

        for(auto i = 0ul; i < t.size(); ++i)
            BOOST_CHECK_EQUAL( uexpr2(i), uplus2(t(i))  );

        auto bexpr_uexpr = ublas::detail::make_binary_tensor_expression<tensor_type>( uexpr1, uexpr2, bplus );

        BOOST_CHECK( ( std::is_same_v< std::decay_t< decltype(bexpr_uexpr.el.e) >, tensor_type > )   );
        BOOST_CHECK( ( std::is_same_v< std::decay_t< decltype(bexpr_uexpr.er.e) >, tensor_type > )   );


        for(auto i = 0ul; i < t.size(); ++i)
            BOOST_CHECK_EQUAL( bexpr_uexpr(i), bplus(uexpr1(i),uexpr2(i))  );

        auto bexpr_bexpr_uexpr = ublas::detail::make_binary_tensor_expression<tensor_type>( bexpr_uexpr, t, bminus );

        BOOST_CHECK( ( std::is_same_v< std::decay_t< decltype(bexpr_bexpr_uexpr.el.el.e) >, tensor_type > )   );
        BOOST_CHECK( ( std::is_same_v< std::decay_t< decltype(bexpr_bexpr_uexpr.el.er.e) >, tensor_type > )   );
        BOOST_CHECK( ( std::is_same_v< std::decay_t< decltype(bexpr_bexpr_uexpr.er) >, tensor_type > )   );
        BOOST_CHECK( ( std::is_same_v< std::decay_t< decltype(bexpr_bexpr_uexpr.er) >, tensor_type > )   );

        for(auto i = 0ul; i < t.size(); ++i)
            BOOST_CHECK_EQUAL( bexpr_bexpr_uexpr(i), bminus(bexpr_uexpr(i),t(i))  );

    }


}