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[ 源代码： ml-dtypes ]
软件包：python3-ml-dtypes（0.5.4-1）
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
其他与 python3-ml-dtypes 有关的软件包
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- dep: libc6 (>= 2.38)
- GNU C 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6-udeb
-
- dep: libgcc-s1 (>= 3.0)
- GCC 支持库
-
- dep: libstdc++6 (>= 9)
- GNU 标准 C++ 库，第3版
-
- dep: python3
- 交互式高级面向对象语言（默认 python3 版本）
- dep: python3 (<< 3.15)
- dep: python3 (>= 3.13~)
-
- dep: python3-numpy
- Python library for numerical computations (Python 3)
-
- dep: python3-numpy2-abi0
- 本虚包由这些包填实： python3-numpy
- 或者 python3-numpy-abi9
- 本虚包由这些包填实： python3-numpy