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 | 19002756cbc5b4bde5e5fe839e4cb700 |
| arch | x86_64 |
| build | py311ha02d727_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.23.5,<2.0a0, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | 19002756cbc5b4bde5e5fe839e4cb700 |
| name | ml_dtypes |
| platform | linux |
| sha1 | 7135853b0233e71a91beec084a0463c095b70ed1 |
| sha256 | 8464e896e373297bc1f4578a44419565c68550f3bf419ab5b7c9e1f7fbb76220 |
| size | 174653 |
| subdir | linux-64 |
| timestamp | 1722369207932 |
| version | 0.4.0 |