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 | ce07f731a6bcf7008f28a89bc7e04441 |
| arch | x86_64 |
| build | py38h1128e8f_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.5,<2.0a0, python >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | ce07f731a6bcf7008f28a89bc7e04441 |
| name | ml_dtypes |
| platform | linux |
| sha1 | 439091af2ef7c5d9842512aacc4de2dc01743324 |
| sha256 | 5274ad1354bf59758e81a3a8640bb2c60a534771791bbdf95ce0270a9297273e |
| size | 738043 |
| subdir | linux-64 |
| timestamp | 1694460009489 |
| version | 0.2.0 |