tf.contrib.bayesflow.stochastic_tensor.NormalTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.graph

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.entropy(name='entropy')

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

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

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.clone(name=None, **dist_args)