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

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.__init__(n=1, stop_gradient=False) Sample n times and

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

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.distribution

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

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.input_dict

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