src/transformers/models/roberta_prelayernorm/modeling_tf_roberta_prelayernorm.py/TFRobertaPreLayerNormEncoder/__init__
class TFRobertaPreLayerNormEncoder:    def __init__(self, config: RobertaPreLayerNormConfig, **kwargs):
        super().__init__(**kwargs)
        self.config = config
        self.layer = [TFRobertaPreLayerNormLayer(config, name=f"layer_._{i}") for i in range(config.num_hidden_layers)]