tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor.graph

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.name

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

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

tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.input_dict

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

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

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

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.graph

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