src/transformers/models/roberta_prelayernorm/modeling_tf_roberta_prelayernorm.py/TFRobertaPreLayerNormAttention/__init__
class TFRobertaPreLayerNormAttention:    def __init__(self, config: RobertaPreLayerNormConfig, **kwargs):
        super().__init__(**kwargs)

        self.self_attention = TFRobertaPreLayerNormSelfAttention(config, name="self")
        self.dense_output = TFRobertaPreLayerNormSelfOutput(config, name="output")
        self.LayerNorm = tf.keras.layers.LayerNormalization(epsilon=config.layer_norm_eps, name="LayerNorm")