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

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.stop_gradient

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.distribution

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