class_docstr: Sparse id to dense vector embedding.
code: def call(self, inputs):
      return tf.nn.embedding_lookup_sparse(
          self.embeddings, inputs, None, combiner=self.combiner
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import tensorflow
  from tensorflow.python.util import nest
label_desc: Use image node_id 2 for calling the SparseEmbedding obj's underlying member method code with example usage: obj.call(inputs) and returns: tf