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

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

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

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

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.stop_gradient

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

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

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