Pre-release
This release is a pre-release and may not be stable for production use.
ml_dtypes
This is not an officially supported Google product.
ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning libraries, including:
bfloat16: an alternative to the standardfloat16formatfloat8_*: several experimental 8-bit floating point representations including:float8_e4m3b11float8_e4m3fnfloat8_e5m2
Installation
We will soon release pre-built wheels for this package at http://pypi.org/project/ml-dtypes, so this package can be easily pip installed.
To build locally, clone the repository and run:
$ git submodule init
$ git submodule update
$ pip install .
Example Usage
>>> from ml_dtypes import bfloat16
>>> import numpy as np
>>> np.zeros(4, dtype=bfloat16)
array([0, 0, 0, 0], dtype=bfloat16)
Importing ml_dtypes also registers the data types with numpy, so that they may
be referred to by their string name:
>>> np.dtype('bfloat16')
dtype(bfloat16)
>>> np.dtype('float8_e5m2')
dtype(float8_e5m2)
2 maintainers
Metadata
2 maintainers
Release files for ml-dtypes 0.0.2rc4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
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|---|---|---|---|---|
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Built distributions (wheels)
Total release size: 3.4 MB
Release files / ml_dtypes-0.0.2rc4.tar.gz
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