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 float8_*: several experimental 8-bit floating point representations including: float8_e4m3b11fnuz, float8_e4m3fn, float8_e4m3fnuz, float8_e5m2, float8_e5m2fnuz int4 and uint4: low precision integer types.
| Uploaded | Mon Mar 31 00:03:34 2025 |
| md5 checksum | e514eeb07edaa27cf637fadb26266d0a |
| arch | x86_64 |
| build | py39h1128e8f_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.5,<2.0a0, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | e514eeb07edaa27cf637fadb26266d0a |
| name | ml_dtypes |
| platform | linux |
| sha1 | 996f2439a593f66c712999d940ef2934581ad0c3 |
| sha256 | 3660ff0c3d3068361d73edd800400a08c81631c1d96f0cc71c2482689884e121 |
| size | 740416 |
| subdir | linux-64 |
| timestamp | 1694459947652 |
| version | 0.2.0 |