Skip to content

JuliaPoo/array-api-compat

BranchesTags
 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

722 Commits
.github
.github
 
 
array_api_compat
array_api_compat
 
 
docs
docs
 
 
tests
tests
 
 
vendor_test
vendor_test
 
 
.gitignore
.gitignore
 
 
CHANGELOG.md
CHANGELOG.md
 
 
CONTRIBUTING.md
CONTRIBUTING.md
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
cupy-xfails.txt
cupy-xfails.txt
 
 
dask-skips.txt
dask-skips.txt
 
 
dask-xfails.txt
dask-xfails.txt
 
 
numpy-1-21-xfails.txt
numpy-1-21-xfails.txt
 
 
numpy-1-26-xfails.txt
numpy-1-26-xfails.txt
 
 
numpy-dev-xfails.txt
numpy-dev-xfails.txt
 
 
numpy-skips.txt
numpy-skips.txt
 
 
numpy-xfails.txt
numpy-xfails.txt
 
 
requirements-dev.txt
requirements-dev.txt
 
 
ruff.toml
ruff.toml
 
 
setup.py
setup.py
 
 
test_cupy.sh
test_cupy.sh
 
 
torch-skips.txt
torch-skips.txt
 
 
torch-xfails.txt
torch-xfails.txt
 
 

Repository files navigation

Array API compatibility library

This is a small wrapper around common array libraries that is compatible with the Array API standard. Currently, NumPy, CuPy, PyTorch, Dask, JAX, ndonnx and sparse are supported. If you want support for other array libraries, or if you encounter any issues, please open an issue.

See the documentation for more details https://data-apis.org/array-api-compat/

About

Compatibility layer for NumPy to support the Array API

data-apis.org/array-api-compat/

Resources

Readme

License

MIT license
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.3%
  • Shell 0.7%