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| Name: python313-ml-dtypes | Distribution: openSUSE Tumbleweed |
| Version: 0.5.0 | Vendor: openSUSE |
| Release: 1.2 | Build date: Wed Nov 20 12:50:55 2024 |
| Group: Unspecified | Build host: reproducible |
| Size: 1594436 | Source RPM: python-ml-dtypes-0.5.0-1.2.src.rpm |
| Packager: http://bugs.opensuse.org | |
| Url: https://github.com/jax-ml/ml_dtypes | |
| Summary: stand-alone implementation of several NumPy dtype extensions | |
`ml_dtypes` is a stand-alone implementation of several NumPy dtype extensions used in machine learning libraries, including: - [`bfloat16`](https://en.wikipedia.org/wiki/Bfloat16_floating-point_format): an alternative to the standard [`float16`](https://en.wikipedia.org/wiki/Half-precision_floating-point_format) format - `float8_*`: several experimental 8-bit floating point representations including: * `float8_e3m4` * `float8_e4m3` * `float8_e4m3b11fnuz` * `float8_e4m3fn` * `float8_e4m3fnuz` * `float8_e5m2` * `float8_e5m2fnuz` - Microscaling (MX) sub-byte floating point representations including: * `float4_e2m1fn` * `float6_e2m3fn` * `float6_e3m2fn` - `int2`, `int4`, `uint2` and `uint4`: low precision integer types.
Apache-2.0
* Wed Nov 20 2024 Dirk Müller <dmueller@suse.com> - Initial package (0.5.0)
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Fabrice Bellet, Sun Jan 12 02:11:34 2025