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| Name: python311-ml-dtypes | Distribution: openSUSE Tumbleweed |
| Version: 0.5.4 | Vendor: openSUSE |
| Release: 2.1 | Build date: Thu Mar 26 06:15:28 2026 |
| Group: Unspecified | Build host: reproducible |
| Size: 1387382 | Source RPM: python-ml-dtypes-0.5.4-2.1.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
* Thu Mar 26 2026 Steve Kowalik <steven.kowalik@suse.com>
- Change how we unpack this to make sure we're doing so correctly.
- Add patch support-numpy-2.4.patch:
* Support Numpy 2.4 changes.
- Ship the licenses and the README in the binary packages.
* Mon Dec 15 2025 Sarah Kriesch <sarah.kriesch@opensuse.org>
- update to 0.5.4:
* register casts from int2 and int4 to all of the custom float types,
except float6_e2m3fn and float8_e8m0fnu
* Custom floats may now be constructed from Python integers
* Fixed bug in byte-swap operation for custom floats
* Wheels now support Python 3.14 free threading on Windows
* required for onnx on s390x: bsc#1215337
* Sun Sep 21 2025 Dirk Müller <dmueller@suse.com>
- update to 0.5.3:
* NPY_NEEDS_PYAPI was removed from the dtype flags. This should
improve the speed of array operations, but it does mean
that values pickled using previous versions of ml_dtypes are
incompatible with the current release and should be regenerated
with the current release.
* Fixed GCC compilation issues related to ambiguous casts.
* Fixed sign bit handling for float4 and float6 types.
* Wheels now support Python 3.13 free-threading.
* Wheels now support the Power architecture.
* Wed Nov 20 2024 Dirk Müller <dmueller@suse.com>
- Initial package (0.5.0)
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Fabrice Bellet, Sat Mar 28 23:18:51 2026