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Project description

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 standard float16 format
float8_*: several experimental 8-bit floating point representations including:
- float8_e4m3b11
- float8_e4m3fn
- float8_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)

Project details

These details have not been verified by PyPI

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Release history Release notifications | RSS feed

0.4.0

Apr 1, 2024

0.4.0b1 pre-release

Mar 12, 2024

0.3.2

Jan 3, 2024

0.3.1

Sep 22, 2023

0.3.0

Sep 19, 2023

0.2.0

Jun 6, 2023

0.1.0

Apr 11, 2023

0.0.4

Mar 27, 2023

0.0.3

Mar 22, 2023

0.0.2

Mar 21, 2023

This version

0.0.2rc5 pre-release

Mar 20, 2023

0.0.2rc4 pre-release

Mar 20, 2023

0.0.1

Mar 10, 2023

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