tf.foldr(fn, elems, initializer=None, parallel_iterations=10, back_prop=True, swap_memory=False, name=None) foldr on the list

tf.contrib.graph_editor.make_list_of_op(ops, check_graph=True, allow_graph=True, ignore_ts=False) Convert ops to a list of tf

tf.contrib.distributions.Binomial.mode(name='mode') Mode. Additional documentation from

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.log_cdf(value, name='log_cdf') Log cumulative distribution function.

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.graph

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

tf.contrib.distributions.Dirichlet.pmf(value, name='pmf') Probability mass function. Args:

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.input_dict

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mode(name='mode') Mode.