tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.__init__()

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

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.name

tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.graph

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagTensor.name

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.graph

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.mean(name='mean')

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

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.graph