tf.contrib.bayesflow.stochastic_tensor.SampleValue.declare_inputs(unused_stochastic_tensor, unused_inputs_dict)

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

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.name

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

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.name

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

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

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

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.n

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.dtype