src/transformers/models/deberta/modeling_tf_deberta.py/TFDebertaLayerNorm/call
class TFDebertaLayerNorm:    def call(self, x: tf.Tensor) -> tf.Tensor:
        mean = tf.reduce_mean(x, axis=[-1], keepdims=True)
        variance = tf.reduce_mean(tf.square(x - mean), axis=[-1], keepdims=True)
        std = tf.math.sqrt(variance + self.eps)
        return self.gamma * (x - mean) / std + self.beta