Pakiet: ml-dtypes-dev (0.5.4-1)

[ Pakiet źródłowy: ml-dtypes  ]

Several NumPy dtype extensions used in machine learning (development files)

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

This package contains header files and other data necessary for developing with ml_dtypes.

Pobieranie ml-dtypes-dev

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arm64	458,4 KiB	3 935,0 KiB	[lista plików]
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s390x	458,4 KiB	3 935,0 KiB	[lista plików]