[ experimental ]
套件：python3-ml-dtypes（0.5.2-1~exp2） [debports]
試製（Experimental）套件
警告：這個套件來自於 experimental 發行版。這表示它很有可能表現出不穩定或者出現 bug ，甚至是導致資料損失。請務必在使用之前查閱 changelog 以及其他潛在的文件。
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
其他與 python3-ml-dtypes 有關的套件
|
|
|
|
-
- dep: libc6 (>= 2.35)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
-
- dep: libgcc-s2 (>= 4.2.1)
- GCC 支援函式庫
-
- dep: libstdc++6 (>= 9)
- GNU Standard C++ Library v3
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.14)
- dep: python3 (>= 3.13~)
-
- dep: python3-numpy
- Python library for numerical computations (Python 3)
-
- dep: python3-numpy2-abi0
- 本虛擬套件由這些套件填實： python3-numpy
- 或者 python3-numpy-abi9
- 套件暫時不可用