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




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




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




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




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




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




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




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




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




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




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




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




