rationalnets 0.1.0

JAX/Flax implementation of rational neural nets

rationalnets

JAX/Flax implementation of rational neural nets.

Original

• paper: Nicolas Boullé, Yuji Nakatsukasa, and Alex Townsend, Rational neural networks, arXiv preprint arXiv:2004.01902 (2020).
• github: https://github.com/NBoulle/RationalNets

Installation

rationalnets can be installed with pip with the following command:

python -m pip install rationalnets

Or you can install the latest version with the following command:

python -m pip install git+https://github.com/yonesuke/RationalNets.git

QuickStart

Rational activation function

import jax.numpy as jnp
from jax import random
from rationalnets import RationalMLP

xs = jnp.arange(-2.0, 2.0, 0.01)
act = Rational()
params = model.init(random.PRNGKey(0), xs)
ys = act.apply(params, xs) # values of rational activation function for -2.0 ~ 2.0

Rational MLP

import jax.numpy as jnp
from jax import random
from rationalnets import RationalMLP

model = RationalMLP([12, 8, 4])
batch = jnp.ones((32, 10))
variables = model.init(random.PRNGKey(0), batch)
output = model.apply(variables, batch)