`ExponentialWithSoftplusLamTensor` is a `StochasticTensor` backed by the distribution `ExponentialWithSoftplusLam`.
- - -

#### `tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)` {#ExponentialWithSoftplusLamTensor.__init__}




- - -

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




- - -

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




- - -

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




- - -

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




- - -

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




- - -

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




- - -

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




- - -

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




- - -

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




- - -

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




- - -

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




