Get the handle of self._embedding_norm_layer for future weight copying.

PiperOrigin-RevId: 328389991

official/nlp/modeling/networks/encoder_scaffold.py

@@ -163,12 +163,14 @@ class EncoderScaffold(tf.keras.Model):
 
       embeddings = tf.keras.layers.Add()(
           [word_embeddings, position_embeddings, type_embeddings])
-      embeddings = (
-          tf.keras.layers.LayerNormalization(
+
+      self._embedding_norm_layer = tf.keras.layers.LayerNormalization(
           name='embeddings/layer_norm',
           axis=-1,
           epsilon=1e-12,
-              dtype=tf.float32)(embeddings))
+          dtype=tf.float32)
+      embeddings = self._embedding_norm_layer(embeddings)
+
       embeddings = (
           tf.keras.layers.Dropout(
               rate=embedding_cfg['dropout_rate'])(embeddings))