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 a `Tensor`.
docstr_tok: ["Returns","a","`","Tensor","`","."]
code: def get_dense_tensor(self, transformation_cache, state_manager):
      """Returns a `Tensor`."""
      input_tensor = transformation_cache.get(self, state_manager)
      layer = state_manager.get_resource(self, self._resource_name)
      text_batch = tf.reshape(input_tensor, shape=[-1])
      return layer(text_batch)
  
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 9 for calling the _TextEmbeddingColumnV2 obj's underlying member method code with example usage: obj.get_dense_tensor(transformation_cache, state_manager) and returns: layer