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ublas/examples/tensor/simple_expressions.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

74 lines
2.1 KiB
C++

//
// Copyright (c) 2018, Cem Bassoy, cem.bassoy@gmail.com
// Copyright (c) 2019, 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.hpp>
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/vector.hpp>
#include <ostream>
int main()
{
namespace ublas = boost::numeric::ublas;
using value = float;
using tensor = ublas::tensor_dynamic<value>;
using matrix = ublas::matrix<value>;
using vector = ublas::vector<value>;
using shape = tensor::extents_type;
try {
auto A = tensor{3,4,2};
auto B = A = 2;
// Calling overloaded operators
// and using simple tensor expression templates.
if( A != (B+1) ){
A += 2*B - 1;
}
// formatted output
std::cout << "% --------------------------- " << std::endl;
std::cout << "% --------------------------- " << std::endl << std::endl;
std::cout << "A=" << A << ";" << std::endl << std::endl;
auto n = shape{3,4};
auto D = matrix(n[0],n[1],1);
auto e = vector(n[1],1);
auto f = vector(n[0],2);
// Calling constructor with
// vector expression templates
tensor C = 2*f;
// formatted output
std::cout << "% --------------------------- " << std::endl;
std::cout << "% --------------------------- " << std::endl << std::endl;
std::cout << "C=" << C << ";" << std::endl << std::endl;
// Calling overloaded operators
// and mixing simple tensor and matrix expression templates
tensor F = 3*C + 4*prod(2*D,e);
// formatted output
std::cout << "% --------------------------- " << std::endl;
std::cout << "% --------------------------- " << std::endl << std::endl;
std::cout << "F=" << F << ";" << std::endl << std::endl;
} catch (const std::exception& e) {
std::cerr << "Cought exception " << e.what();
std::cerr << "in the main function of simple expression." << std::endl;
}
}