class tf.contrib.distributions.RegisterKL Decorator to register a KL divergence implementation function.

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.value_type

Status tensorflow::TensorShape::IsValidShape(const TensorShapeProto &proto) Returns OK iff proto

tf.contrib.learn.TensorFlowRNNClassifier.__repr__()

tf.contrib.distributions.Distribution.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.learn.monitors.CaptureVariable.epoch_begin(epoch) Begin epoch. Args:

tf.contrib.distributions.Laplace.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape.

tf.contrib.distributions.BernoulliWithSigmoidP.log_prob(value, name='log_prob') Log probability density/mass function (depending

tf.contrib.graph_editor.matcher.input_ops(*args) Add input matches.

tf.contrib.distributions.MultivariateNormalCholesky.log_pdf(value, name='log_pdf') Log probability density function.