tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.clone(name=None, **dist_args)
tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.value_type
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.MultivariateNormalCholeskyTensor.name
tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.value_type
tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.value(name='value')
tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.entropy(name='entropy')
tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.input_dict
tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.loss(final_loss, name='Loss')
tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.graph
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