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




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




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




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




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




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




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




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




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




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




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




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




