<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
```
pytest -n auto --pyargs numba.cuda.tests -v
```
Testing 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.
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