tf.contrib.bayesflow.stochastic_tensor.BernoulliTensor.entropy(name='entropy')
tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.loss(final_loss, name=None)
tf.contrib.bayesflow.stochastic_tensor.MeanValue.pushed_above(unused_value_type)
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.input_dict
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.loss(final_loss, name='Loss')
tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)
tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.clone(name=None, **dist_args)
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.input_dict
tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.entropy(name='entropy')
tf.contrib.bayesflow.stochastic_tensor.GammaTensor.entropy(name='entropy')
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