Skip to main content

Immutable pytree modules classes with easy manipulation and serialization

Project description

FlareJax

Simple pytree module classes for Jax, strongly inspired by Equinox

  • Referential transparency via strict immutability
  • Safe serialization including hyperparameters
  • Bound methods and function transformations are also modules
  • Auxillary information in key paths for filtered transformations

Quick Examples

Modules work similar to dataclasses, but with the added benefit of being pytrees. Making them compatible with all Jax function transformations.

import flarejax as fj

class Linear(fj.Module):
    # The __init__ method is automatically generated
    w: jax.Array
    b: jax.Array

    # additional intialization methods via classmethods
    @classmethod
    def init(cls, key, dim_in, dim):
        w = jax.random.normal(key, (dim, dim_in)) * 0.02
        b = jax.numpy.zeros((dim,))
        return cls(w=w, b=b)

    def __call__(self, x):
        return self.w @ x + self.b

key = jax.random.PRNGKey(42)
key1, key2 = jax.random.split(key)

model = fj.Sequential(
    (
        Linear.init(key1, 3, 2),
        Linear.init(key2, 2, 5),
    )
)

The model can be serialized and deserialized using fj.save and fj.load.

fj.save("model.npz", model)
model = fj.load("model.npz")

Flarejax includes wrappers of the Jax function transformations, which return callable modules.

model = fj.VMap(model)
model = fj.Jit(model)

Installation

Memmpy can be installed directly from PyPI using pip. It requires Python 3.10+ and Jax 0.4.26+.

pip install flarejax

Design

Flarejax modules sacrifice some flexibility for the sake of a unified interface and safety. Flarejax code should alway be easy to reason about and should not contain any footguns from using python magic.

  1. Everything is immutable and
  2. module fields can be either jax arrays, other modules or json-like data.

This makes it harder to use other jax libraries in flarejax modules. It is recommended to wrap the needed functionality in a module. Most jax libraries should be compatible with flarejax modules, since they are simply callable pytrees.

Roadmap

  • Filtered grad transformation based on key paths
  • Pretty printing for modules
  • Rule to infer static arguments in jitted functions, possibly everything except JAX arrays

See also

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

flarejax-0.3.13.tar.gz (10.0 kB view details)

Uploaded Source

Built Distribution

flarejax-0.3.13-py3-none-any.whl (13.3 kB view details)

Uploaded Python 3

File details

Details for the file flarejax-0.3.13.tar.gz.

File metadata

  • Download URL: flarejax-0.3.13.tar.gz
  • Upload date:
  • Size: 10.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.9

File hashes

Hashes for flarejax-0.3.13.tar.gz
Algorithm Hash digest
SHA256 6f4e60a510604ef85d595b48b0dfdc0ee78f002d46ad87d2630bcd9a6f09d022
MD5 c56a0eb03c761494f6af1b3144951a7d
BLAKE2b-256 208b12fce60a0b54cd74686747545d458543a8a3f814550a778bce9b6dd7845b

See more details on using hashes here.

File details

Details for the file flarejax-0.3.13-py3-none-any.whl.

File metadata

  • Download URL: flarejax-0.3.13-py3-none-any.whl
  • Upload date:
  • Size: 13.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.9

File hashes

Hashes for flarejax-0.3.13-py3-none-any.whl
Algorithm Hash digest
SHA256 c0e1e1a006facc96f7fa576979f6c6ad24bcd97b13de4e2852c9f4a0497649a4
MD5 78852b333645f907d44571c2916bbf20
BLAKE2b-256 52f6b028e45e3b85dbdaa639034db447b6b54b0a2e1ac83e3d1f4e0d85870cd0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page