tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.__init__()

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.value()

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.name

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.name

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.mean()

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.loss()

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.graph

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.graph

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.entropy()

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.dtype