tjax 0.8.3

Tools for JAX.

This repository implements a variety of tools for the differential programming library JAX.

Major components

Tjax’s major components are:

• A dataclass decorator dataclasss that facilitates defining JAX trees, and has a MyPy plugin. (See dataclass and mypy_plugin.)

• A fixed point finding library heavily based on fax. Our library (fixed_point):

  • supports stochastic iterated functions,

  • uses dataclasses instead of closures to avoid leaking JAX tracers, and

  • supports higher-order differentiation.

Minor components

Tjax also includes:

• An object-oriented wrapper on top of optax. (See gradient.)

• A pretty printer print_generic for aggregate and vector types, including dataclasses. (See display.)

• Versions of custom_vjp and custom_jvp that support being used on methods. (See shims.)

• Tools for working with cotangents. (See cotangent_tools.)

• A random number generator class Generator. (See generator.)

• JAX tree registration for NetworkX graph types. (See graph.)

• Leaky integration leaky_integrate and Ornstein-Uhlenbeck process iteration diffused_leaky_integrate. (See leaky_integral.)

• An improved version of jax.tree_util.Partial. (See partial.)

• A Matplotlib trajectory plotter PlottableTrajectory. (See plottable_trajectory.)

• A testing function assert_jax_allclose that automatically produces testing code. And, a related function jax_allclose. (See testing.)

• Basic tools sum_tensors and is_scalar. (See tools.)

Also, see the documentation.

Contribution guidelines

• Conventions: PEP8.

• How to run tests: pytest .

• How to clean the source:

  • isort tjax

  • pylint tjax

  • mypy tjax

  • flake8 tjax