Mon, 02 Nov 2026 10:30:24 UTC Log in
Implementation of several NumPy dtype extensions 112.72 KB built 2026-10-17 11:13:26 GMT

Description

ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning libraries, including: bfloat16, 8-bit floating point representations, Microscaling (MX) sub-byte floating point representations, and Narrow integer encodings.

Dependencies

25 total
Requires22
  • (python3dist(numpy) >= 2 with python3dist(numpy) < 3)
  • (python3dist(tomli) if python3-devel < 3.11)
  • eigen3-devel
  • eigen3-static
  • g++
  • pyproject-rpm-macros
  • python3-devel
  • python3-devel
  • python3dist(absl-py)
  • python3dist(numpy) >= 1.21
  • python3dist(numpy) >= 1.21.2
  • python3dist(numpy) >= 1.23.3
  • python3dist(numpy) >= 1.26
  • python3dist(numpy) >= 2.1
  • python3dist(packaging)
  • python3dist(pip) >= 19
  • python3dist(pytest)
  • python3dist(setuptools) >= 80.9
  • rpmlib(CompressedFileNames) <= 3.0.4-1
  • rpmlib(DynamicBuildRequires) <= 4.15.0-1
  • rpmlib(FileDigests) <= 4.6.0-1
  • rpmlib(RichDependencies) <= 4.12.0-1
Provides3
  • python-ml-dtypes-debuginfo = 0.5.4-3.fc45
  • python-ml-dtypes-debugsource = 0.5.4-3.fc45
  • python3-ml-dtypes = 0.5.4-3.fc45
ObsoletesNo Obsoletes
ConflictsNo Conflicts
RecommendsNo Recommends
SuggestsNo Suggests
SupplementsNo Supplements
EnhancesNo Enhances

Files

3
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