tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.mean(name='mean')
tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.loss(final_loss, name='Loss')
tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.value(name='value')
tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.dtype
tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.loss(final_loss, name='Loss')
tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.dtype
tf.contrib.bayesflow.stochastic_tensor.NormalTensor.clone(name=None, **dist_args)
tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.graph
tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.loss(final_loss, name='Loss')
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