tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.entropy(name='entropy')

tf.contrib.distributions.MultivariateNormalDiag.variance(name='variance') Variance.

tensorflow::Env::Env()

tf.contrib.distributions.Binomial.log_survival_function(value, name='log_survival_function') Log survival function.

tf.contrib.distributions.Bernoulli.variance(name='variance') Variance.

tf.contrib.distributions.LaplaceWithSoftplusScale.parameters Dictionary of parameters used by this Distribution.

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

tf.minimum(x, y, name=None) Returns the min of x and y (i.e. x < y ? x : y) element-wise. NOTE:

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_event_shape() Shape of a single sample from a single batch as a TensorShape