Package: python3-ml-dtypes (0.5.4-1)

[ Source: ml-dtypes  ]

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 (>= 2.38)

  GNU C könyvtár: megosztott könyvtárak
  also a virtual package provided by libc6-udeb

• dep: libgcc-s1 (>= 4.5)

  GCC támogató programkönyvtár

• dep: libstdc++6 (>= 9)

  GNU Standard C++ Library v3

• dep: python3

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

  dep: python3 (<< 3.15)

  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

  virtual package provided by python3-numpy

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