class_docstr: Id to dense vector embedding.
code: def call(self, inputs):
      shape = inputs.shape
      inputs = tf.reshape(inputs, [-1])
      output_shape = shape.concatenate(self.dim)
      output_shape = [
          d if d is not None else -1 for d in output_shape.as_list()
      ]
      return tf.reshape(
          tf.nn.embedding_lookup(self.embeddings, inputs), output_shape
      )
  
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 3 for calling the Embedding obj's underlying member method code with example usage: obj.call(inputs) and returns: tf