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python-ml-dtypes
python-ml-dtypes.spec
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File python-ml-dtypes.spec of Package python-ml-dtypes
# # spec file for package python-ml-dtypes # # Copyright (c) 2024 SUSE LLC # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed # upon. The license for this file, and modifications and additions to the # file, is the same license as for the pristine package itself (unless the # license for the pristine package is not an Open Source License, in which # case the license is the MIT License). An "Open Source License" is a # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. # Please submit bugfixes or comments via https://bugs.opensuse.org/ # Name: python-ml-dtypes Version: 0.5.0 Release: 0 Summary: stand-alone implementation of several NumPy dtype extensions License: Apache-2.0 URL: https://github.com/jax-ml/ml_dtypes Source: https://files.pythonhosted.org/packages/source/m/ml-dtypes/ml_dtypes-%{version}.tar.gz Source1: https://github.com/jax-ml/ml_dtypes/archive/refs/tags/v%{version}.tar.gz#/ml-dtypes-%{version}-gh.tar.gz BuildRequires: python-rpm-macros BuildRequires: %{python_module abseil} BuildRequires: %{python_module devel} BuildRequires: %{python_module numpy-devel} BuildRequires: %{python_module pip} BuildRequires: %{python_module pytest} BuildRequires: %{python_module setuptools} # SECTION test requirements BuildRequires: %{python_module numpy >= 2.0} # /SECTION BuildRequires: eigen3-devel BuildRequires: fdupes BuildRequires: gcc-c++ Requires: python-numpy >= 2.0 %python_subpackages %description `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. %prep %autosetup -p1 -a1 -n ml_dtypes-%{version} %build %pyproject_wheel %install %pyproject_install %python_expand %fdupes %{buildroot}%{$python_sitelib} %check %pytest_arch -k "not testFInfo_float8_e8m0fnu" %files %{python_files} %{python_sitearch}/ml_dtypes %{python_sitearch}/ml_dtypes-%{version}.dist-info %changelog
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