Execute runtime assertions, indexing checks, and more if jax code is not traced.
Overview
ifnt comprises three core modules, ifnt.util with utility functions, ifnt.testing for runtime assertions, and ifnt.random for stateful random number generation.
>>> import ifnt >>> import jax >>> from jax import numpy as jnp >>> >>> def safe_log(x): ... ifnt.testing.assert_array_less(0, x) ... return jnp.log(x) >>> >>> safe_log(-1) Traceback (most recent call last): ... AssertionError: Arrays are not strictly ordered `x < y` <BLANKLINE> Mismatched elements: 1 / 1 (100%) Max absolute difference among violations: 1 Max relative difference among violations: 1. x: array(0) y: array(-1) >>> >>> jax.jit(safe_log)(-1) Array(nan, dtype=float32, weak_type=True)
Installation
$ pip install jax-ifntRelationship to chex
DeepMind’s chex provides similar, often complementary, assertions. While chex requires runtime assertions to be “functionalized” with chex.chexify, ifnt will skip assertions in traced code. This facilitates, for example, verifying that indices are not out of bounds.
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Metadata
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Release files for jax-ifnt 0.1.11
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