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 22:43:49 2025 |
| md5 checksum | 7ffa5d0a8f5c0d2f5321d90b166ea1a8 |
| 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 | 7ffa5d0a8f5c0d2f5321d90b166ea1a8 |
| name | ml_dtypes |
| platform | linux |
| sha1 | dd3fd0cd0d444cf0eaf7e7b83edfcec56206eef1 |
| sha256 | 86ea87afb0d3b6fb8a9b152456fbcb4e81173f05424cc757b48be0b2b281f0ce |
| size | 751886 |
| subdir | linux-64 |
| timestamp | 1694460070764 |
| version | 0.2.0 |