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

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.declare_inputs(unused_stochastic_tensor, unused_inputs_dict)

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

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.popped_above(unused_value_type)

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

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.distribution

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

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagTensor.value_type