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




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




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




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




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




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




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




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




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




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




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




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




