class_docstr: Returned by text_embedding_column(). Do not use directly.
class_docstr_tok: ["Returned","by","text_embedding_column","(",")",".","Do","not","use","directly","."]
docstr: Returns string. Used for variable_scope and naming.
docstr_tok: ["Returns","string",".","Used","for","variable_scope","and","naming","."]
code: def name(self):
      """Returns string. Used for variable_scope and naming."""
      if not hasattr(self, "_name"):
          key_name = (
              self.key if isinstance(self.key, str) else self.key.name
          )
          self._name = "{}_hub_module_embedding".format(key_name)
      return self._name
  
file_path: hub/tensorflow_hub/feature_column_v2.py
imports: import collections
  import tensorflow
  from tensorflow_hub import keras_layer
  from tensorflow.python.feature_column import feature_column_v2
label_desc: Use image node_id 4 for calling the _TextEmbeddingColumnV2 obj's underlying member method code with example usage: obj.name() and returns: self