code: def embedding_add(
      params, ids, values, partition_strategy="mod", name=None
  ):
      return embedding_update(
          params,
          ids,
          values,
          partition_strategy=partition_strategy,
          func=tf.scatter_add,
          name=name,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tensorflow.python.ops import variables
label_desc: Use image node_id 2 for calling a global function with example usage: embedding_add(params, ids, values, partition_strategy, name) and returns: embedding_update