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https://github.com/xtensor-stack/xtensor-blas
BLAS extension to xtensor
https://github.com/xtensor-stack/xtensor-blas
blas c-plus-plus-14 lapack linear-algebra xtensor
Last synced: 3 months ago
JSON representation
BLAS extension to xtensor
- Host: GitHub
- URL: https://github.com/xtensor-stack/xtensor-blas
- Owner: xtensor-stack
- License: bsd-3-clause
- Created: 2017-03-31T08:48:41.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2024-02-14T14:29:29.000Z (9 months ago)
- Last Synced: 2024-05-09T15:56:17.658Z (6 months ago)
- Topics: blas, c-plus-plus-14, lapack, linear-algebra, xtensor
- Language: C++
- Homepage:
- Size: 4.21 MB
- Stars: 154
- Watchers: 14
- Forks: 50
- Open Issues: 53
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-list - xtensor-blas - BLAS extension to xtensor. (Linear Algebra / Statistics Toolkit / General Purpose Tensor Library)
README
# 
[](https://github.com/xtensor-stack/xtensor-blas/actions/workflows/linux.yml)
[](https://github.com/xtensor-stack/xtensor-blas/actions/workflows/osx.yml)
[](https://github.com/xtensor-stack/xtensor-blas/actions/workflows/windows.yml)
[](https://xtensor-blas.readthedocs.io/en/latest/?badge=latest)
[](https://mybinder.org/v2/gh/xtensor-stack/xtensor/stable?filepath=notebooks%2Fxtensor.ipynb)
[](https://gitter.im/QuantStack/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
## Introduction
`xtensor-blas` is an extension to the xtensor library, offering bindings to BLAS and LAPACK libraries through cxxblas and cxxlapack from the [FLENS](https://github.com/michael-lehn/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:
[](https://mybinder.org/v2/gh/xtensor-stack/xtensor/stable?filepath=notebooks%2Fxtensor.ipynb)
The C++ support in Jupyter is powered by the [xeus-cling](https://github.com/xtensor-stack/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 | ^0.25.0 |
| 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](LICENSE) file for details.