Paquet : ml-dtypes-dev (0.5.4-1)

[ Paquet source : 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.

Télécharger ml-dtypes-dev

Télécharger pour toutes les architectures proposées

Architecture	Taille du paquet	Espace occupé une fois installé	Fichiers
amd64	458,4 ko	3 935,0 ko	[liste des fichiers]
arm64	458,4 ko	3 935,0 ko	[liste des fichiers]
armhf	458,4 ko	3 935,0 ko	[liste des fichiers]
i386	458,4 ko	3 935,0 ko	[liste des fichiers]
ppc64el	458,4 ko	3 935,0 ko	[liste des fichiers]
riscv64	458,4 ko	3 935,0 ko	[liste des fichiers]
s390x	458,4 ko	3 935,0 ko	[liste des fichiers]