src/transformers/optimization_tf.py/AdamWeightDecay/apply_gradients
class AdamWeightDecay:    def apply_gradients(self, grads_and_vars, name=None, **kwargs):
        grads, tvars = list(zip(*grads_and_vars))
        return super(AdamWeightDecay, self).apply_gradients(zip(grads, tvars), name=name, **kwargs)