code: def embedding_look_up(text_inputs, vocab_size, embedding_size):
      """Embedding layer."""
      with tf.variable_scope("embedding"):
          W = tf.get_variable(
              name="W",
              initializer=tf.random_uniform(
                  [vocab_size, embedding_size], -1.0, 1.0
              ),
          )
          embedding_chars = tf.nn.embedding_lookup(W, text_inputs)
          embedding_chars_expanded = tf.expand_dims(embedding_chars, -1)
      return embedding_chars_expanded
  
file_path: delta/delta/layers/common_layers.py
imports: import delta.compat
  from absl import logging
  from delta.data.feat import speech_ops
label_desc: Use image node_id 7 for calling a global function with example usage: embedding_look_up(text_inputs, vocab_size, embedding_size) and returns: embedding_chars_expanded