class_docstr: Id to dense vector embedding.
code: def build(self, input_shape):
      self.embeddings = tf.get_variable(
          "embeddings",
          shape=[self.max_id + 1, self.dim],
          initializer=self.initializer(),
      )
      self.built = True
  
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 Embedding obj's underlying member method code with example usage: obj.build(input_shape) without return types