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yaoyaoding authored Nov 7, 2024
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# Hidet: An Open-Source Deep Learning Compiler
[**Documentation**](http://docs.hidet.org/) |
[**Documentation**](http://hidet.org/docs) |
[**Research Paper**](https://dl.acm.org/doi/10.1145/3575693.3575702) |
[**Releases**](https://github.com/hidet-org/hidet/releases) |
[**Contributing**](https://docs.hidet.org/stable/developer-guides/contributing.html)
[**Contributing**](https://hidet.org/docs/stable/developer-guides/contributing.html)

![GitHub](https://img.shields.io/github/license/hidet-org/hidet)
![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/hidet-org/hidet/tests.yaml)
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```bash
pip install hidet
```
You can also try the [nightly build version](https://docs.hidet.org/stable/getting-started/install.html) or [build from source](https://docs.hidet.org/stable/getting-started/build-from-source.html#).
You can also try the [nightly build version](https://hidet.org/docs/stable/getting-started/install.html) or [build from source](https://hidet.org/docs/stable/getting-started/build-from-source.html#).

### Usage

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y = model_opt(x)
```
See the following tutorials to learn other usages:
- [Quick Start](http://docs.hidet.org/stable/gallery/getting-started/quick-start.html)
- [Optimize PyTorch models](http://docs.hidet.org/stable/gallery/tutorials/optimize-pytorch-model.html)
- [Optimize ONNX models](http://docs.hidet.org/stable/gallery/tutorials/optimize-onnx-model.html)
- [Quick Start](http://hidet.org/docs/stable/gallery/getting-started/quick-start.html)
- [Optimize PyTorch models](http://hidet.org/docs/stable/gallery/tutorials/optimize-pytorch-model.html)
- [Optimize ONNX models](http://hidet.org/docs/stable/gallery/tutorials/optimize-onnx-model.html)

## Publication
Hidet originates from the following research work:
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## Contributing
We welcome contributions from the community. Please see
[contribution guide](https://docs.hidet.org/stable/developer-guides/contributing.html)
[contribution guide](https://hidet.org/docs/stable/developer-guides/contributing.html)
for more details.

## License
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