Metadata-Version: 2.4
Name: numba-cuda
Version: 0.15.2
Summary: CUDA target for Numba
Author: Anaconda Inc., NVIDIA Corporation
License: BSD 2-clause
Project-URL: Homepage, https://github.com/rapidsai/numba-cuda
Project-URL: Documentation, https://github.com/rapidsai/numba-cuda/blob/main/README.md
Project-URL: Repository, https://github.com/rapidsai/numba-cuda
Project-URL: License, https://github.com/rapidsai/numba-cuda/blob/main/LICENSE
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numba>=0.59.1
Provides-Extra: cu11
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Requires-Dist: cuda-python==11.8.*; extra == "cu11"
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Requires-Dist: nvidia-cuda-nvrtc-cu11; extra == "cu11"
Provides-Extra: cu12
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Requires-Dist: numba-cuda[test]; extra == "test-cu12"
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Requires-Dist: pynvjitlink-cu12; extra == "test-cu12"
Dynamic: license-file

<div align="center"><img src="docs/source/_static/numba-green-icon-rgb.svg" width="200"/></div>

# Numba CUDA Target

The CUDA target for Numba. Please visit the [official
documentation](https://nvidia.github.io/numba-cuda) to get started!


To report issues or file feature requests, please use the [issue
tracker](https://github.com/NVIDIA/numba-cuda/issues).

To raise questions or initiate discussions, please use the [Numba Discourse
forum](https://numba.discourse.group).

## Installation with pip or conda

Please refer to the [Installation documentation](https://nvidia.github.io/numba-cuda/user/installation.html#installation-with-a-python-package-manager).


## Installation from source

Install as an editable install:

```
pip install -e .
```

If you want to manage all run-time dependencies yourself, also pass the `--no-deps` flag.

## Running tests

```
python -m numba.runtests numba.cuda.tests
```

This should discover the`numba.cuda` module from the `numba_cuda` package. You
can check where `numba.cuda` files are being located by running

```
python -c "from numba import cuda; print(cuda.__file__)"
```

which will show a path like:

```
<path to numba-cuda repo>/numba_cuda/numba/cuda/__init__.py
```

## Contributing Guide

Review the
[CONTRIBUTING.md](https://github.com/NVIDIA/numba-cuda/blob/main/CONTRIBUTING.md)
file for information on how to contribute code and issues to the project.
