xtensor-blas is an early developer preview, and is not suitable for general usage yet. Features and implementation are subject to change.
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
xtensor-blas is a header-only library. We provide a package for the conda package manager.
conda 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
openblaslapack
which are also available on conda-forge.
xtensor-blas depends on the xtensor package
xtensor-blas |
xtensor |
|---|---|
| master | ^0.14.0 |
| 0.7.0 | ^0.14.0 |
| 0.6.1 | ^0.13.2 |
| 0.6.0 | ^0.13.0 |
| 0.5.0 | ^0.11.0 |
| 0.3.1 | ^0.10.2 |
| 0.3.0 | ^0.10.2 |
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.