code: def __call__(self, text_tensor):
      indices_tensor = self.table.lookup(text_tensor)
      embedding_tensor = tf.gather(self.weights, indices_tensor)
      return (
          dict(outputs=embedding_tensor)
          if self._returns_dict
          else embedding_tensor
      )
  
imports: import logging
  import os
  import numpy
  import tensorflow.compat.v2
  import tensorflow_hub
  from tensorflow.python.feature_column import feature_column_v2
  from tensorflow.python.ops.lookup_ops import HashTable
  from tensorflow.python.ops.lookup_ops import KeyValueTensorInitializer
label_desc: Use image node_id 2 for calling the TextEmbedding obj's underlying member method code with example usage: obj.__call__(text_tensor) and returns: unknown