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Ensure that apply_gradients in dp_optimizer.py is using intended arguments for calls to superclass.

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PiperOrigin-RevId: 417654563
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Steve Chien 2021-12-21 11:05:43 -08:00 committed by A. Unique TensorFlower
parent 347b99d412
commit c6576f60c4
1 changed files with 2 additions and 2 deletions
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tensorflow_privacy/privacy/optimizers/dp_optimizer.py
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@ -267,8 +267,8 @@ def make_optimizer_class(cls):
' called. Which means that the training is not differentially '
'private. It happens for example in Keras training in TensorFlow '
'2.0+.')
return super(DPOptimizerClass,
self).apply_gradients(grads_and_vars, global_step, name)
return super(DPOptimizerClass, self).apply_gradients(
grads_and_vars=grads_and_vars, global_step=global_step, name=name)
return DPOptimizerClass