`MultivariateNormalDiagPlusVDVTTensor` is a `StochasticTensor` backed by the distribution `MultivariateNormalDiagPlusVDVT`.
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#### `tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)` {#MultivariateNormalDiagPlusVDVTTensor.__init__}




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#### `tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.clone(name=None, **dist_args)` {#MultivariateNormalDiagPlusVDVTTensor.clone}




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#### `tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.distribution` {#MultivariateNormalDiagPlusVDVTTensor.distribution}




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#### `tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.dtype` {#MultivariateNormalDiagPlusVDVTTensor.dtype}




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#### `tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.entropy(name='entropy')` {#MultivariateNormalDiagPlusVDVTTensor.entropy}




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#### `tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.graph` {#MultivariateNormalDiagPlusVDVTTensor.graph}




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#### `tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.input_dict` {#MultivariateNormalDiagPlusVDVTTensor.input_dict}




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#### `tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.loss(final_loss, name='Loss')` {#MultivariateNormalDiagPlusVDVTTensor.loss}




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#### `tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.mean(name='mean')` {#MultivariateNormalDiagPlusVDVTTensor.mean}




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#### `tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.name` {#MultivariateNormalDiagPlusVDVTTensor.name}




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#### `tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.value(name='value')` {#MultivariateNormalDiagPlusVDVTTensor.value}




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#### `tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.value_type` {#MultivariateNormalDiagPlusVDVTTensor.value_type}




