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




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




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




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




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




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




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




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




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




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




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




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




