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 00:03:30 2025 |
| md5 checksum | 2762e5d36f65c39d810eb3ce803167c1 |
| arch | x86_64 |
| build | py39h1128e8f_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.6,<2.0a0, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | 2762e5d36f65c39d810eb3ce803167c1 |
| name | ml_dtypes |
| platform | linux |
| sha1 | 832c15cf986a0e52b4d5fbc1ae83d5b218bc1610 |
| sha256 | 452cdbb289bf93f8ffeffe2c5855a27b11c5a7224ee35c3eabbf635222178be2 |
| size | 174404 |
| subdir | linux-64 |
| timestamp | 1722369250971 |
| version | 0.4.0 |