class_docstr: Base class for TPU Embedding Column.
class_docstr_tok: ["Base","class","for","TPU","Embedding","Column","."]
docstr: Get the key for the associated sequence length feature.
docstr_tok: ["Get","the","key","for","the","associated","sequence","length","feature","."]
code: def get_sequence_length_feature_key_name(self):
      """Get the key for the associated sequence length feature."""
      return get_sequence_length_feature_key_name_from_feature_key_name(
          self.get_feature_key_name()
      )
  
imports: import math
  from tensorflow.python.feature_column import feature_column
  from tensorflow.python.feature_column import feature_column_lib
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.tpu import tpu
  from tensorflow.python.tpu import tpu_function
  from tensorflow.python.tpu import tpu_replication
label_desc: Use image node_id 12 for calling the _TPUBaseEmbeddingColumn obj's underlying member method code with example usage: obj.get_sequence_length_feature_key_name() and returns: get_sequence_length_feature_key_name_from_feature_key_name