mirror of
https://github.com/boostorg/ublas.git
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e68819c645
fix macro for MSVC adding noexcept fixing test and making changes adding comparison test and adding resolving issue changing extents API fixing MSVC errors fixing MSVC error adding static prod function and adding std::array to static extents and static strides fixing get_number_list refactoring meta_function into type_traits and adding staic_traits for static_extents fixing extents_result_type_outer_prod and combining static_functions and functions removing unnecessary code and header file removing unnecessary forward declaration private member resize and adding removed constructors for matrix and vector changing size_t to std::size_t and fixing stride_t adding is_resizable type trait for tensor resizing improve documenting of is_resizable refactoring code changing msvc version in .yml changing toolset msvc-14.1 to msvc-14.16 and adding VSCLCOMPILER changing toolset msvc-14.2 and image to VS 2019 refactoring code and adding new matrix to appveyor adding VS 2019 with msvc-14.1 and disabling VS 2019 with msvc-14.2 and c++2a adding VS 2019 with msvc-14.2 and changing flag to latest removing VS 2019 with msvc-14.2 and c++17 and adding timeout to travis.yml travis_wait workaround removing VS 2017 from appveyor and refactoring code adding clang support for c++17 and c++20 and refactoring code changing dist to bionic and adding source link to clang 10 fixing travis, bugs and adding new examples fixing example bugs for msvc updating licence and adding test_expression to jamfile adding new tests, refactoring code and fixing bugs fix for msvc c++20 fixing memory problem due to BOOST_AUTO_TEST_SUITE macro defining after fixture removing const from tests and enabling test_tensor.cpp removing const from test_fixed_rank_expression_evaluation.cpp fixing msvc bug fixing msvc-14.2 bug for c++ latest where it cannot properly capture variables in lambda func disintegrating tests into smaller units reducing test_types for testing reducing tests reducing test_types for testing in operator arithmetic improving msvc warinings and separating test_function.cpp into it's own module
172 lines
6.1 KiB
C++
172 lines
6.1 KiB
C++
//
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// Copyright (c) 2018-2020, Cem Bassoy, cem.bassoy@gmail.com
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// Copyright (c) 2019-2020, 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
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//
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#include <boost/numeric/ublas/tensor.hpp>
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#include <iostream>
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#include <type_traits>
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namespace ub = boost::numeric::ublas;
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int main() {
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using value_type = float;
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/** tensor initialization using type deduction
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* Storage Type: std::vector
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* Layout: first_order
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* Initial Value: 0
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**/
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auto tensor_dynamic_extents_and_dynamic_rank_0 = ub::tensor<value_type>{1,2,3,4};
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/** Dynamic extents but static rank
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* Storage Type: std::array of static rank
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* Layout: first_order
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* Initial Value: 0
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**/
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auto tensor_dynamic_extents_and_static_rank_1 = ub::tensor<value_type,ub::dynamic_extents<4>>{ub::dynamic_extents<4>{1,2,3,4}};
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/** Dynamic extents but dynamic rank
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* Storage Type: std::vector
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* Layout: first_order
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* Initial Value: 0
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**/
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auto tensor_dynamic_extents_and_dynamic_rank_2 = ub::tensor<value_type,ub::dynamic_extents<>>{ub::dynamic_extents<>{1,2,3,4}};
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/** Dynamic extents but dynamic rank
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* Storage Type: std::vector
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* Layout: first_order
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* Initial Value: 0.1f
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**/
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auto tensor_dynamic_extents_and_dynamic_rank_3 = ub::tensor<value_type,ub::dynamic_extents<>>{ub::dynamic_extents<>{1,2,3,4},0.1};
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/** Static extents but static rank
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* Storage Type: std::array
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* Layout: first_order
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* Initial Value: 0
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**/
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auto tensor_static_extents_and_static_rank_4 = ub::tensor<value_type,ub::static_extents<1,2,3,4>>();
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/** Static extents but static rank
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* Storage Type: std::array
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* Layout: first_order
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* Initial Value: 0
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**/
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auto tensor_static_extents_and_static_rank_5 = ub::tensor<value_type,ub::static_extents<1,2,3,4>,ub::first_order>();
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/** Dynamic extents but dynamic rank
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* Storage Type: std::array
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* Layout: first_order
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* Initial Value: 0
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**/
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auto tensor_dynamic_extents_and_dynamic_rank_6 = ub::tensor<value_type,ub::dynamic_extents<>,ub::first_order>{1,2,3,4};
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/** Dynamic extents but dynamic rank
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* Storage Type: std::vector
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* Layout: first_order
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* Initial Value: 0
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**/
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auto tensor_dynamic_extents_and_dynamic_rank_7 = ub::tensor<value_type,ub::dynamic_extents<>,ub::first_order,std::vector<value_type>>{1,2,3,4};
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/** Static extents but static rank
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* Storage Type: std::array of size 24
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* Layout: first_order
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* Initial Value: 0
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**/
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auto tensor_static_extents_and_static_rank_8 = ub::tensor<value_type,ub::static_extents<1,2,3,4>,ub::first_order,std::array<value_type,24>>();
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auto t1_e = tensor_dynamic_extents_and_dynamic_rank_0.extents();
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auto t2_e = tensor_dynamic_extents_and_static_rank_1.extents();
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auto t3_e = tensor_dynamic_extents_and_dynamic_rank_2.extents();
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auto t4_e = tensor_static_extents_and_static_rank_4.extents();
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auto t5_e = tensor_dynamic_extents_and_dynamic_rank_3.extents();
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auto t6_e = tensor_static_extents_and_static_rank_5.extents();
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auto t7_e = tensor_dynamic_extents_and_dynamic_rank_6.extents();
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auto t8_e = tensor_dynamic_extents_and_dynamic_rank_7.extents();
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auto t9_e = tensor_static_extents_and_static_rank_8.extents();
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auto t1_s = tensor_dynamic_extents_and_dynamic_rank_0.strides();
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auto t2_s = tensor_dynamic_extents_and_static_rank_1.strides();
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auto t3_s = tensor_dynamic_extents_and_dynamic_rank_2.strides();
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auto t4_s = tensor_static_extents_and_static_rank_4.strides();
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auto t5_s = tensor_dynamic_extents_and_dynamic_rank_3.strides();
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auto t6_s = tensor_static_extents_and_static_rank_5.strides();
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auto t7_s = tensor_dynamic_extents_and_dynamic_rank_6.strides();
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auto t8_s = tensor_dynamic_extents_and_dynamic_rank_7.strides();
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auto t9_s = tensor_static_extents_and_static_rank_8.strides();
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std::cout<<"\nExtents: "<<(t1_e)<<'\n';
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std::cout<<"Strides: "<<(t1_s)<<'\n';
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std::cout<<"\nExtents: "<<(t2_e)<<'\n';
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std::cout<<"Strides: "<<(t2_s)<<'\n';
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std::cout<<"\nExtents: "<<(t3_e)<<'\n';
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std::cout<<"Strides: "<<(t3_s)<<'\n';
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std::cout<<"\nExtents: "<<(t4_e)<<'\n';
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std::cout<<"Strides: "<<(t4_s)<<'\n';
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std::cout<<"\nExtents: "<<(t5_e)<<'\n';
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std::cout<<"Strides: "<<(t5_s)<<'\n';
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std::cout<<"\nExtents: "<<(t6_e)<<'\n';
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std::cout<<"Strides: "<<(t6_s)<<'\n';
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std::cout<<"\nExtents: "<<(t7_e)<<'\n';
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std::cout<<"Strides: "<<(t7_s)<<'\n';
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std::cout<<"\nExtents: "<<(t8_e)<<'\n';
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std::cout<<"Strides: "<<(t8_s)<<'\n';
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std::cout<<"\nExtents: "<<(t9_e)<<'\n';
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std::cout<<"Strides: "<<(t9_s)<<'\n';
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/**
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* Checking if layout is first order or not
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* Output: True
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**/
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std::cout<<std::is_same<typename decltype(tensor_dynamic_extents_and_dynamic_rank_7)::layout_type, ub::first_order>::value<<'\n';
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/**
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* Checking if layout is first order or not
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* Output: True
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**/
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std::cout<<std::is_same<typename decltype(tensor_static_extents_and_static_rank_8)::layout_type, ub::first_order>::value<<'\n';
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/**
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* Checking if container is std::vector
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* Output: True
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**/
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std::cout<<std::is_same<typename decltype(tensor_dynamic_extents_and_dynamic_rank_7)::array_type, std::vector<float> >::value<<'\n';
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/**
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* Checking if container is std::array
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* Output: True
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**/
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std::cout<<std::is_same<typename decltype(tensor_static_extents_and_static_rank_8)::array_type, std::array<float,24> >::value<<'\n';
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/**
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* Checking if extents is static
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* Output: True
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**/
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std::cout<<ub::detail::is_static<typename decltype(tensor_static_extents_and_static_rank_8)::extents_type >::value<<'\n';
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/**
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* Checking if extents is dynamic
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* Output: True
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**/
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std::cout<<ub::detail::is_dynamic<typename decltype(tensor_dynamic_extents_and_dynamic_rank_7)::extents_type >::value<<'\n';
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return 0;
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}
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