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




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




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




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




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




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




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




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




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




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




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




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




