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Diffstat (limited to 'src/boost/libs/numeric/ublas/examples/tensor/prod_expressions.cpp')
| -rw-r--r-- | src/boost/libs/numeric/ublas/examples/tensor/prod_expressions.cpp | 183 |
1 files changed, 183 insertions, 0 deletions
diff --git a/src/boost/libs/numeric/ublas/examples/tensor/prod_expressions.cpp b/src/boost/libs/numeric/ublas/examples/tensor/prod_expressions.cpp new file mode 100644 index 000000000..6ff725214 --- /dev/null +++ b/src/boost/libs/numeric/ublas/examples/tensor/prod_expressions.cpp @@ -0,0 +1,183 @@ +// +// Copyright (c) 2018-2019, Cem Bassoy, cem.bassoy@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 +// Fraunhofer IOSB, Ettlingen, Germany +// + + +#include <boost/numeric/ublas/tensor.hpp> +#include <boost/numeric/ublas/matrix.hpp> +#include <boost/numeric/ublas/vector.hpp> +#include <iostream> + +int main() +{ + using namespace boost::numeric::ublas; + + using format_t = column_major; + using value_t = float; // std::complex<double>; + using tensor_t = tensor<value_t,format_t>; + using matrix_t = matrix<value_t,format_t>; + using vector_t = vector<value_t>; + + // Tensor-Vector-Multiplications - Including Transposition + { + + auto n = shape{3,4,2}; + auto A = tensor_t(n,2); + auto q = 0u; // contraction mode + + // C1(j,k) = T2(j,k) + A(i,j,k)*T1(i); + q = 1u; + tensor_t C1 = matrix_t(n[1],n[2],2) + prod(A,vector_t(n[q-1],1),q); + + // C2(i,k) = A(i,j,k)*T1(j) + 4; + q = 2u; + tensor_t C2 = prod(A,vector_t(n[q-1],1),q) + 4; + + // C3() = A(i,j,k)*T1(i)*T2(j)*T2(k); + tensor_t C3 = prod(prod(prod(A,vector_t(n[0],1),1),vector_t(n[1],1),1),vector_t(n[2],1),1); + + // C4(i,j) = A(k,i,j)*T1(k) + 4; + q = 1u; + tensor_t C4 = prod(trans(A,{2,3,1}),vector_t(n[2],1),q) + 4; + + + // formatted output + std::cout << "% --------------------------- " << std::endl; + std::cout << "% --------------------------- " << std::endl << std::endl; + std::cout << "% C1(j,k) = T2(j,k) + A(i,j,k)*T1(i);" << std::endl << std::endl; + std::cout << "C1=" << C1 << ";" << std::endl << std::endl; + + // formatted output + std::cout << "% --------------------------- " << std::endl; + std::cout << "% --------------------------- " << std::endl << std::endl; + std::cout << "% C2(i,k) = A(i,j,k)*T1(j) + 4;" << std::endl << std::endl; + std::cout << "C2=" << C2 << ";" << std::endl << std::endl; + + // formatted output + std::cout << "% --------------------------- " << std::endl; + std::cout << "% --------------------------- " << std::endl << std::endl; + std::cout << "% C3() = A(i,j,k)*T1(i)*T2(j)*T2(k);" << std::endl << std::endl; + std::cout << "C3()=" << C3(0) << ";" << std::endl << std::endl; + + // formatted output + std::cout << "% --------------------------- " << std::endl; + std::cout << "% --------------------------- " << std::endl << std::endl; + std::cout << "% C4(i,j) = A(k,i,j)*T1(k) + 4;" << std::endl << std::endl; + std::cout << "C4=" << C4 << ";" << std::endl << std::endl; + + } + + + // Tensor-Matrix-Multiplications - Including Transposition + { + + auto n = shape{3,4,2}; + auto A = tensor_t(n,2); + auto m = 5u; + auto q = 0u; // contraction mode + + // C1(l,j,k) = T2(l,j,k) + A(i,j,k)*T1(l,i); + q = 1u; + tensor_t C1 = tensor_t(shape{m,n[1],n[2]},2) + prod(A,matrix_t(m,n[q-1],1),q); + + // C2(i,l,k) = A(i,j,k)*T1(l,j) + 4; + q = 2u; + tensor_t C2 = prod(A,matrix_t(m,n[q-1],1),q) + 4; + + // C3(i,l1,l2) = A(i,j,k)*T1(l1,j)*T2(l2,k); + q = 3u; + tensor_t C3 = prod(prod(A,matrix_t(m+1,n[q-2],1),q-1),matrix_t(m+2,n[q-1],1),q); + + // C4(i,l1,l2) = A(i,j,k)*T2(l2,k)*T1(l1,j); + tensor_t C4 = prod(prod(A,matrix_t(m+2,n[q-1],1),q),matrix_t(m+1,n[q-2],1),q-1); + + // C5(i,k,l) = A(i,k,j)*T1(l,j) + 4; + q = 3u; + tensor_t C5 = prod(trans(A,{1,3,2}),matrix_t(m,n[1],1),q) + 4; + + // formatted output + std::cout << "% --------------------------- " << std::endl; + std::cout << "% --------------------------- " << std::endl << std::endl; + std::cout << "% C1(l,j,k) = T2(l,j,k) + A(i,j,k)*T1(l,i);" << std::endl << std::endl; + std::cout << "C1=" << C1 << ";" << std::endl << std::endl; + + // formatted output + std::cout << "% --------------------------- " << std::endl; + std::cout << "% --------------------------- " << std::endl << std::endl; + std::cout << "% C2(i,l,k) = A(i,j,k)*T1(l,j) + 4;" << std::endl << std::endl; + std::cout << "C2=" << C2 << ";" << std::endl << std::endl; + + // formatted output + std::cout << "% --------------------------- " << std::endl; + std::cout << "% --------------------------- " << std::endl << std::endl; + std::cout << "% C3(i,l1,l2) = A(i,j,k)*T1(l1,j)*T2(l2,k);" << std::endl << std::endl; + std::cout << "C3=" << C3 << ";" << std::endl << std::endl; + + // formatted output + std::cout << "% --------------------------- " << std::endl; + std::cout << "% --------------------------- " << std::endl << std::endl; + std::cout << "% C4(i,l1,l2) = A(i,j,k)*T2(l2,k)*T1(l1,j);" << std::endl << std::endl; + std::cout << "C4=" << C4 << ";" << std::endl << std::endl; + std::cout << "% C3 and C4 should have the same values, true? " << std::boolalpha << (C3 == C4) << "!" << std::endl; + + + // formatted output + std::cout << "% --------------------------- " << std::endl; + std::cout << "% --------------------------- " << std::endl << std::endl; + std::cout << "% C5(i,k,l) = A(i,k,j)*T1(l,j) + 4;" << std::endl << std::endl; + std::cout << "C5=" << C5 << ";" << std::endl << std::endl; + } + + + + + + // Tensor-Tensor-Multiplications Including Transposition + { + + using perm_t = std::vector<std::size_t>; + + auto na = shape{3,4,5}; + auto nb = shape{4,6,3,2}; + auto A = tensor_t(na,2); + auto B = tensor_t(nb,3); + + + // C1(j,l) = T(j,l) + A(i,j,k)*A(i,j,l) + 5; + tensor_t C1 = tensor_t(shape{na[2],na[2]},2) + prod(A,A,perm_t{1,2}) + 5; + + // formatted output + std::cout << "% --------------------------- " << std::endl; + std::cout << "% --------------------------- " << std::endl << std::endl; + std::cout << "% C1(k,l) = T(k,l) + A(i,j,k)*A(i,j,l) + 5;" << std::endl << std::endl; + std::cout << "C1=" << C1 << ";" << std::endl << std::endl; + + + // C2(k,l,m) = T(k,l,m) + A(i,j,k)*B(j,l,i,m) + 5; + tensor_t C2 = tensor_t(shape{na[2],nb[1],nb[3]},2) + prod(A,B,perm_t{1,2},perm_t{3,1}) + 5; + + // formatted output + std::cout << "% --------------------------- " << std::endl; + std::cout << "% --------------------------- " << std::endl << std::endl; + std::cout << "% C2(k,l,m) = T(k,l,m) + A(i,j,k)*B(j,l,i,m) + 5;" << std::endl << std::endl; + std::cout << "C2=" << C2 << ";" << std::endl << std::endl; + + + // C3(k,l,m) = T(k,l,m) + A(i,j,k)*trans(B(j,l,i,m),{2,3,1,4})+ 5; + tensor_t C3 = tensor_t(shape{na[2],nb[1],nb[3]},2) + prod(A,trans(B,{2,3,1,4}),perm_t{1,2}) + 5; + + // formatted output + std::cout << "% --------------------------- " << std::endl; + std::cout << "% --------------------------- " << std::endl << std::endl; + std::cout << "% C3(k,l,m) = T(k,l,m) + A(i,j,k)*trans(B(j,l,i,m),{2,3,1,4})+ 5;" << std::endl << std::endl; + std::cout << "C3=" << C3 << ";" << std::endl << std::endl; + + } +} |