tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.name
tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.name
tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.entropy(name='entropy')
tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)
tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.__init__(dist_cls, name=None, dist_value_type=None, loss_fn=score_function, **dist_args)
tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor.dtype
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.loss(final_loss, name='Loss')
tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.distribution
tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.value(name='value')
tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.name
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