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  • License: Apache Software License ( Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR ...)
  • Author: ml_dtypes authors
  • Requires: Python >=3.7
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Project description

ml_dtypes

Unittests Wheel Build PyPI version

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 standard float16 format
  • float8_*: several experimental 8-bit floating point representations including:
    • float8_e4m3b11
    • float8_e4m3fn
    • float8_e4m3fnuz
    • float8_e5m2
    • float8_e5m2fnuz

Installation

The ml_dtypes package is tested with Python versions 3.8-3.11, and can be installed with the following command:

pip install ml_dtypes

To test your installation, you can run the following:

pip install absl-py pytest
pytest --pyargs ml_dtypes

To build from source, 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)

License

The ml_dtypes source code is licensed under the Apache 2.0 license (see LICENSE). Pre-compiled wheels are built with the EIGEN project, which is released under the MPL 2.0 license (see LICENSE.eigen).

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  • License: Apache Software License ( Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR ...)
  • Author: ml_dtypes authors
  • Requires: Python >=3.7
Classifiers

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