Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

xtensor-stack/xtensor-blas

Repository files navigation

GHA Linux GHA OSX GHA Windows Documentation Binder Join the Gitter Chat

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

Installation

xtensor-blas is a header-only library. We provide a package for the mamba (or conda) package manager.

mamba install -c conda-forge xtensor-blas

which will also install the core xtensor package.

Or you can directly install it from the sources:

cmake -D CMAKE_INSTALL_PREFIX=your_install_prefix
make install

To build the tests or actually use xtensor-blas, you will need binaries for

  • openblas
  • lapack

which are also available on conda-forge.

Trying it online

You can play with xtensor interactively in a Jupyter notebook right now! Just click on the binder link below:

Binder

The C++ support in Jupyter is powered by the xeus-cling C++ kernel. Together with xeus-cling, xtensor enables a similar workflow to that of NumPy with the IPython Jupyter kernel.

Documentation

For more information on using xtensor, check out the reference documentation

http://xtensor-blas.readthedocs.io/

Dependency on xtensor

xtensor-blas depends on the xtensor package

xtensor-blas xtensor
master ^0.27.0
0.23.0 ^0.27.0
0.22.0 ^0.26.0
0.21.0 ^0.25.0
0.20.0 ^0.24.0
0.19.2 ^0.23.3
0.19.1 ^0.23.3
0.19.0 ^0.23.0
0.18.0 ^0.22.0
0.17.2 ^0.21.4
0.17.1 ^0.21.2
0.17.0 ^0.21.1
0.16.1 ^0.20.4
0.16.0 ^0.20.0

License

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.

AltStyle によって変換されたページ (->オリジナル) /