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Unit tests have been revamped in order to improve maintainability and readability. Many of them have been split into smaller tests. Missing tests for various tensor types and extents have been added. This will simply the addition of new tests for various tensor types and instances.
103 lines
3.1 KiB
C++
103 lines
3.1 KiB
C++
//
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// Copyright (c) 2021 Cem Bassoy, cem.bassoy@gmail.com
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// Copyright (c) 2021, Amit Singh, amitsingh19975@gmail.com
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//
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// Distributed under the Boost Software License, Version 1.0. (See
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// accompanying file LICENSE_1_0.txt or copy at
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// http://www.boost.org/LICENSE_1_0.txt)
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//
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// The authors gratefully acknowledge the support of
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// Google and Fraunhofer IOSB, Ettlingen, Germany
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//
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#include <boost/test/unit_test.hpp>
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#include "../fixture_utility.hpp"
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BOOST_AUTO_TEST_SUITE(test_functions_norm,
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* boost::unit_test::description("Validate Norm Function")
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)
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BOOST_TEST_DECORATOR(
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*boost::unit_test::label("norm_fn")
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*boost::unit_test::description("Testing the norm function for dynamic tensor")
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)
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BOOST_FIXTURE_TEST_CASE_TEMPLATE(test_tensor_dynamic,
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TestTupleType,
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boost::numeric::ublas::cpp_std_types,
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boost::numeric::ublas::tuple_fixture_tensor_dynamic<TestTupleType>
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)
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{
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namespace ublas = boost::numeric::ublas;
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using value_type = typename TestTupleType::first_type;
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using fixture_t = ublas::tuple_fixture_tensor_dynamic<TestTupleType>;
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auto const& self = static_cast<fixture_t const&>(*this);
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ublas::for_each_fixture(self, []<typename tensor_type>(auto /*id*/, tensor_type a){
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auto const rank = a.rank();
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if(rank <= 1ul) return;
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ublas::iota(a, value_type{1});
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BOOST_TEST_CONTEXT("[Dynamic Norm Function] tensor with rank("<< rank <<")"){
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auto c = ublas::inner_prod(a, a);
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auto r = std::inner_product(a.begin(),a.end(), a.begin(),value_type(0));
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tensor_type var = (a+a)/value_type{2};
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auto r2 = ublas::norm( var );
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BOOST_CHECK_EQUAL( c , r );
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BOOST_CHECK_EQUAL( std::sqrt( c ) , r2 );
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}
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});
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}
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BOOST_TEST_DECORATOR(
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*boost::unit_test::label("norm_fn")
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*boost::unit_test::description("Testing the norm function for static rank tensor")
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)
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BOOST_FIXTURE_TEST_CASE_TEMPLATE(test_tensor_static_rank,
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TestTupleType,
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boost::numeric::ublas::cpp_std_types,
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boost::numeric::ublas::tuple_fixture_tensor_static_rank<TestTupleType>
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)
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{
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namespace ublas = boost::numeric::ublas;
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using value_type = typename TestTupleType::first_type;
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using fixture_t = ublas::tuple_fixture_tensor_static_rank<TestTupleType>;
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auto const& self = static_cast<fixture_t const&>(*this);
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ublas::for_each_fixture(self, []<typename tensor_type>(auto /*id*/, tensor_type a){
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constexpr auto rank = a.rank();
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if constexpr (rank > 1ul) {
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ublas::iota(a, value_type{1});
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BOOST_TEST_CONTEXT("[Static Rank Norm Function] tensor with rank("<< rank <<")"){
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auto c = ublas::inner_prod(a, a);
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auto r = std::inner_product(a.begin(),a.end(), a.begin(),value_type(0));
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tensor_type var = (a+a)/value_type{2};
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auto r2 = ublas::norm( var );
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BOOST_CHECK_EQUAL( c , r );
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BOOST_CHECK_EQUAL( std::sqrt( c ) , r2 );
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}
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}
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});
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}
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BOOST_AUTO_TEST_SUITE_END()
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