2
0
mirror of https://github.com/boostorg/ublas.git synced 2026-01-24 06:22:13 +00:00
Files
ublas/test/tensor/test_expression_evaluation.cpp
Cem Bassoy 231ba5f730 refactor(core): simplify and eliminate auxiliary tensor types (#115)
Auxiliary functions for extents and strides were using different
functions. Additionally, many tags were used to distinguish between
different tensor types. This patch simplifies interfaces of different
core functions and unifies functions that can process different types of
extent and stride types.
2021-09-09 11:34:14 +02:00

245 lines
9.0 KiB
C++

//
// Copyright (c) 2018-2020, Cem Bassoy, cem.bassoy@gmail.com
// Copyright (c) 2019-2020, Amit Singh, amitsingh19975@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)
//
// The authors gratefully acknowledge the support of
// Google and Fraunhofer IOSB, Ettlingen, Germany
//
#include <boost/numeric/ublas/tensor/expression_evaluation.hpp>
#include <boost/numeric/ublas/tensor/expression.hpp>
#include <boost/numeric/ublas/tensor/extents.hpp>
#include <boost/numeric/ublas/tensor/tensor.hpp>
#include "utility.hpp"
#include <boost/test/unit_test.hpp>
#include <functional>
BOOST_AUTO_TEST_SUITE(test_tensor_expression)
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_t = boost::numeric::ublas::extents<>;
const std::vector<extents_t> extents =
{
// extents_t{}, // 0
extents_t{1,1}, // 1
extents_t{1,2}, // 2
extents_t{2,1}, // 3
extents_t{2,3}, // 4
extents_t{2,3,1}, // 5
extents_t{1,2,3}, // 6
extents_t{1,1,2,3}, // 7
extents_t{1,2,3,1,1}, // 8
extents_t{4,2,3}, // 9
extents_t{4,2,1,3}, // 10
extents_t{4,2,1,3,1}, // 11
extents_t{1,4,2,1,3,1} // 12
};
};
BOOST_FIXTURE_TEST_CASE_TEMPLATE( test_tensor_expression_retrieve_extents, value, test_types, fixture)
{
namespace ublas = boost::numeric::ublas;
using value_t = typename value::first_type;
using layout_t = typename value::second_type;
using tensor_t = ublas::tensor_dynamic<value_t, layout_t>;
auto uplus1 = [](auto const& a){ return a + value_t(1); };
auto uplus2 = [](auto const& a){ return value_t(2) + a; };
auto bplus = std::plus <value_t>{};
auto bminus = std::minus<value_t>{};
for(auto const& e : extents) {
auto t = tensor_t(e);
auto v = value_t{};
for(auto& tt: t){ tt = v; v+=value_t{1}; }
BOOST_CHECK( ublas::detail::retrieve_extents( t ) == e );
// uexpr1 = t+1
// uexpr2 = 2+t
auto uexpr1 = ublas::detail::make_unary_tensor_expression<tensor_t>( t, uplus1 );
auto uexpr2 = ublas::detail::make_unary_tensor_expression<tensor_t>( t, uplus2 );
BOOST_CHECK( ublas::detail::retrieve_extents( uexpr1 ) == e );
BOOST_CHECK( ublas::detail::retrieve_extents( uexpr2 ) == e );
// bexpr_uexpr = (t+1) + (2+t)
auto bexpr_uexpr = ublas::detail::make_binary_tensor_expression<tensor_t>( uexpr1, uexpr2, bplus );
BOOST_CHECK( ublas::detail::retrieve_extents( bexpr_uexpr ) == e );
// bexpr_bexpr_uexpr = ((t+1) + (2+t)) - t
auto bexpr_bexpr_uexpr = ublas::detail::make_binary_tensor_expression<tensor_t>( bexpr_uexpr, t, bminus );
BOOST_CHECK( ublas::detail::retrieve_extents( bexpr_bexpr_uexpr ) == e );
}
for(auto i = 0u; i < extents.size()-1; ++i)
{
auto v = value_t{};
auto t1 = tensor_t(extents[i]);
for(auto& tt: t1){ tt = v; v+=value_t{1}; }
auto t2 = tensor_t(extents[i+1]);
for(auto& tt: t2){ tt = v; v+=value_t{2}; }
BOOST_CHECK( ublas::detail::retrieve_extents( t1 ) != ublas::detail::retrieve_extents( t2 ) );
// uexpr1 = t1+1
// uexpr2 = 2+t2
auto uexpr1 = ublas::detail::make_unary_tensor_expression<tensor_t>( t1, uplus1 );
auto uexpr2 = ublas::detail::make_unary_tensor_expression<tensor_t>( t2, uplus2 );
BOOST_CHECK( ublas::detail::retrieve_extents( t1 ) == ublas::detail::retrieve_extents( uexpr1 ) );
BOOST_CHECK( ublas::detail::retrieve_extents( t2 ) == ublas::detail::retrieve_extents( uexpr2 ) );
BOOST_CHECK( ublas::detail::retrieve_extents( uexpr1 ) != ublas::detail::retrieve_extents( uexpr2 ) );
// bexpr_uexpr = (t1+1) + (2+t2)
auto bexpr_uexpr = ublas::detail::make_binary_tensor_expression<tensor_t>( uexpr1, uexpr2, bplus );
BOOST_CHECK( ublas::detail::retrieve_extents( bexpr_uexpr ) == ublas::detail::retrieve_extents(t1) );
// bexpr_bexpr_uexpr = ((t1+1) + (2+t2)) - t2
auto bexpr_bexpr_uexpr1 = ublas::detail::make_binary_tensor_expression<tensor_t>( bexpr_uexpr, t2, bminus );
BOOST_CHECK( ublas::detail::retrieve_extents( bexpr_bexpr_uexpr1 ) == ublas::detail::retrieve_extents(t2) );
// bexpr_bexpr_uexpr = t2 - ((t1+1) + (2+t2))
auto bexpr_bexpr_uexpr2 = ublas::detail::make_binary_tensor_expression<tensor_t>( t2, bexpr_uexpr, bminus );
BOOST_CHECK( ublas::detail::retrieve_extents( bexpr_bexpr_uexpr2 ) == ublas::detail::retrieve_extents(t2) );
}
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE( test_tensor_expression_all_extents_equal, value, test_types, fixture)
{
namespace ublas = boost::numeric::ublas;
using value_t = typename value::first_type;
using layout_t = typename value::second_type;
using tensor_t = ublas::tensor_dynamic<value_t, layout_t>;
auto uplus1 = [](auto const& a){ return a + value_t(1); };
auto uplus2 = [](auto const& a){ return value_t(2) + a; };
auto bplus = std::plus <value_t>{};
auto bminus = std::minus<value_t>{};
for(auto const& e : extents) {
auto t = tensor_t(e);
auto v = value_t{};
for(auto& tt: t){ tt = v; v+=value_t{1}; }
BOOST_CHECK( ublas::detail::all_extents_equal( t , e ) );
// uexpr1 = t+1
// uexpr2 = 2+t
auto uexpr1 = ublas::detail::make_unary_tensor_expression<tensor_t>( t, uplus1 );
auto uexpr2 = ublas::detail::make_unary_tensor_expression<tensor_t>( t, uplus2 );
BOOST_CHECK( ublas::detail::all_extents_equal( uexpr1, e ) );
BOOST_CHECK( ublas::detail::all_extents_equal( uexpr2, e ) );
// bexpr_uexpr = (t+1) + (2+t)
auto bexpr_uexpr = ublas::detail::make_binary_tensor_expression<tensor_t>( uexpr1, uexpr2, bplus );
BOOST_CHECK( ublas::detail::all_extents_equal( bexpr_uexpr, e ) );
// bexpr_bexpr_uexpr = ((t+1) + (2+t)) - t
auto bexpr_bexpr_uexpr = ublas::detail::make_binary_tensor_expression<tensor_t>( bexpr_uexpr, t, bminus );
BOOST_CHECK( ublas::detail::all_extents_equal( bexpr_bexpr_uexpr , e ) );
}
for(auto i = 0u; i < extents.size()-1; ++i)
{
auto v = value_t{};
auto t1 = tensor_t(extents[i]);
for(auto& tt: t1){ tt = v; v+=value_t{1}; }
auto t2 = tensor_t(extents[i+1]);
for(auto& tt: t2){ tt = v; v+=value_t{2}; }
BOOST_CHECK( ublas::detail::all_extents_equal( t1, ublas::detail::retrieve_extents(t1) ) );
BOOST_CHECK( ublas::detail::all_extents_equal( t2, ublas::detail::retrieve_extents(t2) ) );
// uexpr1 = t1+1
// uexpr2 = 2+t2
auto uexpr1 = ublas::detail::make_unary_tensor_expression<tensor_t>( t1, uplus1 );
auto uexpr2 = ublas::detail::make_unary_tensor_expression<tensor_t>( t2, uplus2 );
BOOST_CHECK( ublas::detail::all_extents_equal( uexpr1, ublas::detail::retrieve_extents(uexpr1) ) );
BOOST_CHECK( ublas::detail::all_extents_equal( uexpr2, ublas::detail::retrieve_extents(uexpr2) ) );
// bexpr_uexpr = (t1+1) + (2+t2)
auto bexpr_uexpr = ublas::detail::make_binary_tensor_expression<tensor_t>( uexpr1, uexpr2, bplus );
BOOST_CHECK( ! ublas::detail::all_extents_equal( bexpr_uexpr, ublas::detail::retrieve_extents( bexpr_uexpr ) ) );
// bexpr_bexpr_uexpr = ((t1+1) + (2+t2)) - t2
auto bexpr_bexpr_uexpr1 = ublas::detail::make_binary_tensor_expression<tensor_t>( bexpr_uexpr, t2, bminus );
BOOST_CHECK( ! ublas::detail::all_extents_equal( bexpr_bexpr_uexpr1, ublas::detail::retrieve_extents( bexpr_bexpr_uexpr1 ) ) );
// bexpr_bexpr_uexpr = t2 - ((t1+1) + (2+t2))
auto bexpr_bexpr_uexpr2 = ublas::detail::make_binary_tensor_expression<tensor_t>( t2, bexpr_uexpr, bminus );
BOOST_CHECK( ! ublas::detail::all_extents_equal( bexpr_bexpr_uexpr2, ublas::detail::retrieve_extents( bexpr_bexpr_uexpr2 ) ) );
// bexpr_uexpr2 = (t1+1) + t2
auto bexpr_uexpr2 = ublas::detail::make_binary_tensor_expression<tensor_t>( uexpr1, t2, bplus );
BOOST_CHECK( ! ublas::detail::all_extents_equal( bexpr_uexpr2, ublas::detail::retrieve_extents( bexpr_uexpr2 ) ) );
// bexpr_uexpr2 = ((t1+1) + t2) + t1
auto bexpr_bexpr_uexpr3 = ublas::detail::make_binary_tensor_expression<tensor_t>( bexpr_uexpr2, t1, bplus );
BOOST_CHECK( ! ublas::detail::all_extents_equal( bexpr_bexpr_uexpr3, ublas::detail::retrieve_extents( bexpr_bexpr_uexpr3 ) ) );
// bexpr_uexpr2 = t1 + (((t1+1) + t2) + t1)
auto bexpr_bexpr_uexpr4 = ublas::detail::make_binary_tensor_expression<tensor_t>( t1, bexpr_bexpr_uexpr3, bplus );
BOOST_CHECK( ! ublas::detail::all_extents_equal( bexpr_bexpr_uexpr4, ublas::detail::retrieve_extents( bexpr_bexpr_uexpr4 ) ) );
}
}
BOOST_AUTO_TEST_SUITE_END()