Description

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

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