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




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




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




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




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




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




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




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




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




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




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




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




