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https://github.com/bytedance/matxscript
A high-performance, extensible Python AOT compiler.
https://github.com/bytedance/matxscript
compiler machine-learning python
Last synced: 4 days ago
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A high-performance, extensible Python AOT compiler.
- Host: GitHub
- URL: https://github.com/bytedance/matxscript
- Owner: bytedance
- License: apache-2.0
- Created: 2022-10-31T13:09:18.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-26T09:16:29.000Z (about 1 year ago)
- Last Synced: 2024-12-11T05:03:41.471Z (11 days ago)
- Topics: compiler, machine-learning, python
- Language: C++
- Homepage: https://bytedance.github.io/matxscript/
- Size: 13.2 MB
- Stars: 415
- Watchers: 15
- Forks: 39
- Open Issues: 30
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- License: LICENSE
Awesome Lists containing this project
README
MatxScript
===============================================================
[Documentation](https://bytedance.github.io/matxscript/) |
[文档](https://bytedance.github.io/matxscript/zh-CN/index.html) |
[Contributors](CONTRIBUTORS.md) |
[Release Notes](NEWS.md)
MatxScript is an ahead of time compiler for a subset of the Python language.
Installation
-------
```bash
pip install matxscript
```
A Quick Example
-------
```python
import matx
import timeit
def fib(n: int) -> int:
if n <= 1:
return n
else:
return fib(n - 1) + fib(n - 2)
if __name__ == '__main__':
fib_script = matx.script(fib)
# test on Macbook with m1 chip
print(f'Python execution time: {timeit.timeit(lambda: fib(30), number=10)}s') # 1.59s
print(f'Matx execution time: {timeit.timeit(lambda: fib_script(30), number=10)}s') # 0.03s
```
License
-------
© Bytedance Inc. Licensed under an [Apache-2.0](LICENSE) license.
Contribute to MatxScript
------------------------
Everyone is welcomed to contribute. We value all forms of contributions, including, but not limited to:
- Code reviewing of the existing patches.
- Documentation and usage examples
- Community participation in issues.
- Code readability and developer guide
- We welcome contributions that add code comments to improve readability
- We also welcome contributions to docs to explain the design choices of the internal.
- Test cases to make the codebase more robust
- Tutorials, blog posts, talks that promote the project.
Acknowledgement
---------------
We learned a lot from the following projects when building MatxScript.
- [TVM](https://github.com/apache/tvm): Part of MatxScript's IR and Runtime
originates from TVM. We also learned and adapted some part of codegen pipeline from TVM.
- [Python](https://github.com/python/cpython/tree/3.8): Part of the runtime code comes from cpython for align the semantics
- [Folly](https://github.com/facebook/folly): We adopted the idea of FBString to design our runtime::string_core
- [abseil-cpp](https://github.com/abseil/abseil-cpp): The string_view structure and ByteHash algorithm originates from abseil
- [rapidjson](https://github.com/Tencent/rapidjson): The json module is implemented based on rapidjson
- [CV-CUDA](https://github.com/CVCUDA/CV-CUDA): The vision CUDA runtime is developed using the operators provided by CV-CUDA.