Setting correct argument in super() call in DPOptimizerClass.

PiperOrigin-RevId: 308776729

Author: tensorflower-gardener

tensorflow_privacy/privacy/optimizers/dp_optimizer.py

@@ -135,7 +135,7 @@ def normalize(v):
 
         def process_microbatch(i, sample_state):
           """Process one microbatch (record) with privacy helper."""
-          grads, _ = zip(*super(cls, self).compute_gradients(
+          grads, _ = zip(*super(DPOptimizerClass, self).compute_gradients(
               tf.reduce_mean(input_tensor=tf.gather(
                   microbatches_losses, [i])), var_list, gate_gradients,
               aggregation_method, colocate_gradients_with_ops, grad_loss))