Tenseur

A header only C++20 tensor library [WIP]

Features

• Multi dimensional arrays
• Support static, dynamic and mixed shape tensors
• Lazy evaluation of expressions
• BLAS backend for high performance numerical linear algebra
• Chain expressions
• Factory functions: fill, ones, zeros, range, rand
• Compile to a shared library

Todo

• Tests for shared library
• Generate automatic python bindings
• Pythonizations
• CI/CD with tests
• Sparse tensors
• More special matrices
• Automatic differentiation
• Python documentation
• C++ API documentation
• Inplace operations

Requirements

• Clang compiler with C++20 support
• CMake
• BLAS library (OpenBlas or BLIS)

Example

• Multiply and add

#include <ten/tensor>

int main() {
   auto a = ten::range<ten::matrix<float>>({3, 3});
   auto b = ten::range<ten::matrix<float>>({3, 3});
   auto c = ten::ones<ten::vector<float>>(3);

   ten::vector<float> x = a * b + c;
}

• QR factorization

#include <ten/tensor>
#include <ten/linalg>

int main() {
   auto a = ten::range<matrix<float>>({4, 4});
   ten::qr qr_fact;
   qr_fact.factorize(a);
   auto [q, r] = qr_fact.factors();

   std::cout << q << std::endl;
   std::cout << r << std::endl;
}

Build the examples

mkdir build-examples
cd build-examples
cmake .. -DCMAKE_CXX_COMPILER=clang++ -DTENSEUR_EXAMPLES=ON
cmake --build . --

Build the tests

mkdir build-tests
cd build-tests
cmake .. -DCMAKE_CXX_COMPILER=clang++ -DTENSEUR_TESTS=ON
cmake --build . --

Build the docs

mkdir build-docs
cd build-docs
cmake .. -DCMAKE_CXX_COMPILER=clang++ -DTENSEUR_DOCS=ON
cmake --build . --