tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.loss(final_loss, name='Loss')

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

tf.contrib.bayesflow.stochastic_tensor.value_type(dist_value_type) Creates a value type context for any StochasticTensor created

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.clone(name=None, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.clone(name=None, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.clone(name=None, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.MeanValue.popped_above(unused_value_type)

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.graph

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.clone(name=None, **dist_args)