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




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




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




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




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




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




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




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




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




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




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




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




