tf.distributions.RegisterKL

Class RegisterKL

Aliases:

• Class tf.contrib.distributions.RegisterKL
• Class tf.distributions.RegisterKL

Defined in tensorflow/python/ops/distributions/kullback_leibler.py.

See the guide: Statistical Distributions (contrib) > Kullback-Leibler Divergence

Decorator to register a KL divergence implementation function.

Usage:

@distributions.RegisterKL(distributions.Normal, distributions.Normal) def _kl_normal_mvn(norm_a, norm_b): # Return KL(norm_a || norm_b)

Methods

__init__

__init__(
    dist_cls_a,
    dist_cls_b
)

Initialize the KL registrar.

Args:

• dist_cls_a: the class of the first argument of the KL divergence.
• dist_cls_b: the class of the second argument of the KL divergence.

__call__

__call__(kl_fn)

Perform the KL registration.

Args:

• kl_fn: The function to use for the KL divergence.

Returns:

kl_fn

Raises:

• TypeError: if kl_fn is not a callable.
• ValueError: if a KL divergence function has already been registered for the given argument classes.