class_docstr: Base class for TPU Embedding Column.
class_docstr_tok: ["Base","class","for","TPU","Embedding","Column","."]
docstr: Check if the categorical column of the embedding column is weighted.
docstr_tok: ["Check","if","the","categorical","column","of","the","embedding","column","is","weighted","."]
code: def is_categorical_column_weighted(self):
      """Check if the categorical column of the embedding column is weighted."""
      raise NotImplementedError("not impl")
  
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 8 for calling the _TPUBaseEmbeddingColumn obj's underlying member method code with example usage: obj.is_categorical_column_weighted() without return types