Package: python3-ml-dtypes (0.5.2-1~exp2) [debports]

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Experimental package

Warning: This package is from the experimental distribution. That means it is likely unstable or buggy, and it may even cause data loss. Please be sure to consult the changelog and other possible documentation before using it.

Several NumPy dtype extensions used in machine learning

ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning libraries, including:

 * bfloat16: an alternative to the standard float16 format
 * 8-bit floating point representations, parameterized by number of exponent
   and mantissa bits, as well as the bias (if any) and representability of
   infinity, NaN, and signed zero.
    float8_e3m4
    float8_e4m3
    float8_e4m3b11fnuz
    float8_e4m3fn
    float8_e4m3fnuz
    float8_e5m2
    float8_e5m2fnuz
    float8_e8m0fnu
 * Microscaling (MX) sub-byte floating point representations:
    float4_e2m1fn
    float6_e2m3fn
    float6_e3m2fn
 * Narrow integer encodings:
    int2
    int4
    uint2
    uint4

Other Packages Related to python3-ml-dtypes

• dep: libc6 (>= 2.41)

  GNU C Library: Shared libraries
  also a virtual package provided by libc6-udeb

• dep: libgcc-s1 (>= 15.2.0-1)

  GCC support library

• dep: libstdc++6 (>= 9)

  GNU Standard C++ Library v3

• dep: python3

  interactive high-level object-oriented language (default python3 version)

  dep: python3 (<< 3.14)

  dep: python3 (>= 3.13~)

• dep: python3-numpy

  Python library for numerical computations (Python 3)

• dep: python3-numpy2-abi0

  virtual package provided by python3-numpy

  or python3-numpy-abi9

  Package not available

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Architecture	Package Size	Installed Size	Files
loong64 (unofficial port)	171.0 kB	1,560.0 kB	[list of files]