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Source: ml-dtypes
Section: python
Homepage: https://github.com/jax-ml/ml_dtypes
Priority: optional
Standards-Version: 4.7.0
Vcs-Git: https://salsa.debian.org/deeplearning-team/ml-dtypes.git
Vcs-Browser: https://salsa.debian.org/deeplearning-team/ml-dtypes
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Uploaders: Mo Zhou <lumin@debian.org>
Build-Depends: debhelper-compat (= 13),
dh-sequence-python3,
python3-setuptools,
python3-all,
python3-all-dev,
python3-numpy,
python3-numpy-dev,
python3-pytest <!nocheck>,
python3-absl <!nocheck>,
Package: ml-dtypes-dev
Architecture: any
Depends: ${misc:Depends},
${python3:Depends},
${shlibs:Depends},
Description: 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.
Package: python3-ml-dtypes
Architecture: any
Depends: ${misc:Depends},
${python3:Depends},
${shlibs:Depends},
Description: 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
|
