tf.contrib.framework.get_graph_from_inputs(op_input_list, graph=None) Returns the appropriate graph to use for the given inputs

tf.contrib.distributions.Mixture.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

tf.contrib.distributions.BernoulliWithSigmoidP.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.Dirichlet.entropy(name='entropy') Shanon entropy in nats.

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.distribution

tf.contrib.distributions.Chi2.survival_function(value, name='survival_function') Survival function. Given

tf.contrib.distributions.Gamma.beta Inverse scale parameter.

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.contrib.distributions.QuantizedDistribution.prob(value, name='prob') Probability density/mass function (depending on

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.value_type