nanoml
A collection of nano utility functions to make the ML code cleaner
[!IMPORTANT] This project is under active development. Feel free to open an issue or submit a pull request.
pip install nanoml
Documentation
Example
from nanoml.dtype import is_bf16_supported
print(is_bf16_supported())
# True if bfloat16 is supported, False otherwise
Contributing
Contributions are welcome! Please open an issue or submit a pull request.
Contribution Steps:
- Fork the repository
- Create a new branch
- Run
uv syncorpip install -e .to install the dependencies - Run
pre-commit installto install the pre-commit hooks - Make your changes and commit them
- Push to your fork
- Open a PR
License
MIT
Release files for nanoml 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nanoml-0.1.4.tar.gz | 171.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nanoml-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 175.7 kB
Release files / nanoml-0.1.4.tar.gz
| Download URL | nanoml-0.1.4.tar.gz |
|---|---|
| Size | 171.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.6.10
|
Release files / nanoml-0.1.4-py3-none-any.whl
| Download URL | nanoml-0.1.4-py3-none-any.whl |
|---|---|
| Size | 4.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.6.10
|