xtensor bindings for BLAS and LAPACK

Introduction

xtensor-blas is an extension to the xtensor library, offering bindings to BLAS and LAPACK libraries through cxxblas and cxxlapack from the FLENS project.

xtensor-blas currently provides non-broadcasting dot, norm (1- and 2-norm for vectors), inverse, solve, eig, cross, det, slogdet, matrix_rank, inv, cholesky, qr, svd in the xt::linalg namespace (check the corresponding xlinalg.hpp header for the function signatures). The functions, and signatures, are trying to be 1-to-1 equivalent to NumPy. Low-level functions to interface with BLAS or LAPACK with xtensor containers are also offered in the blas and lapack namespace.

xtensor and xtensor-blas require a modern C++ compiler supporting C++14. The following C++ compilers are supported:

• On Windows platforms, Visual C++ 2015 Update 2, or more recent

• On Unix platforms, gcc 4.9 or a recent version of Clang

Licensing

We use a shared copyright model that enables all contributors to maintain the copyright on their contributions.

This software is licensed under the BSD-3-Clause license. See the LICENSE file for details.

INSTALLATION

• Installation
  • Using the conda-forge package
  • From source with cmake
• Performance and Linking

USAGE

• Usage
  • Using xblas and xlapack directly
• Reference
  • Matrix, vector and tensor products
  • Decompositions
  • Matrix eigenvalues
  • Norms and other numbers
  • Solving equations and inverting matrices
  • Other

DEVELOPER ZONE

• Build and configuration
  • Build
• Releasing xtensor-blas
  • Releasing a new version
  • Updating the conda-forge recipe