https://github.com/tillahoffmann/testax

Jit-able runtime assertions for JAX in NumPy style.
https://github.com/tillahoffmann/testax

jax numpy testing

Last synced: 27 days ago
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Jit-able runtime assertions for JAX in NumPy style.

• Host: GitHub
• URL: https://github.com/tillahoffmann/testax
• Owner: tillahoffmann
• License: apache-2.0
• Created: 2024-02-22T01:12:24.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-03-03T04:52:36.000Z (8 months ago)
• Last Synced: 2024-04-23T20:41:55.705Z (7 months ago)
• Topics: jax, numpy, testing
• Language: Python
• Homepage: https://testax.readthedocs.io
• Size: 44.9 KB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

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README

        
🧪 testax

=========

.. image:: https://img.shields.io/pypi/v/testax

    :target: https://pypi.org/project/testax

.. image:: https://github.com/tillahoffmann/testax/actions/workflows/build.yml/badge.svg

    :target: https://github.com/tillahoffmann/testax/actions/workflows/build.yml

.. image:: https://readthedocs.org/projects/testax/badge/?version=latest

    :target: https://testax.readthedocs.io/en/latest/?badge=latest

testax provides runtime assertions for JAX through the testing interface familiar to NumPy users.

>>> import jax

>>> from jax import numpy as jnp

>>> import testax

>>>

>>> def safe_log(x):

...     testax.assert_array_less(0, x)

...     return jnp.log(x)

>>>

>>> safe_log(jnp.arange(2))

Traceback (most recent call last):

    ...

jax._src.checkify.JaxRuntimeError:

Arrays are not less-ordered

Mismatched elements: 1 / 2 (50%)

Max absolute difference: 1

Max relative difference: 1

 x: Array(0, dtype=int32, weak_type=True)

 y: Array([0, 1], dtype=int32)

testax assertions are :code:`jit`-able, although errors need to be functionalized to conform to JAX's requirement that functions are pure and do not have side effects (see the :code:`checkify` `guide `__ for details). In short, a :code:`checkify`-d function returns a tuple :code:`(error, value)`. The first element is an error that *may* have occurred, and the second is the return value of the original function.

>>> jitted = jax.jit(safe_log)

>>> checkified = testax.checkify(jitted)

>>> error, y = checkified(jnp.arange(2))

>>> error.throw()

Traceback (most recent call last):

    ...

jax._src.checkify.JaxRuntimeError:

Arrays are not less-ordered

Mismatched elements: 1 / 2 (50%)

Max absolute difference: 1

Max relative difference: 1

 x: Array(0, dtype=int32, weak_type=True)

 y: Array([0, 1], dtype=int32)

>>> y

Array([-inf,   0.], dtype=float32)

Installation

------------

testax is pip-installable and can be installed by running

.. code-block:: bash

    pip install testax

Interface

---------

testax mirrors the `testing `__ interface familiar to NumPy users, such as :code:`assert_allclose`.