src/transformers/models/funnel/modeling_tf_funnel.py/TFFunnelEmbeddings/__init__
class TFFunnelEmbeddings:    def __init__(self, config, **kwargs):
        super().__init__(**kwargs)

        self.config = config
        self.hidden_size = config.hidden_size
        self.initializer_std = 1.0 if config.initializer_std is None else config.initializer_std

        self.LayerNorm = tf.keras.layers.LayerNormalization(epsilon=config.layer_norm_eps, name="layer_norm")
        self.dropout = tf.keras.layers.Dropout(rate=config.hidden_dropout)