class_docstr: Base class for TPU Embedding Column.
class_docstr_tok: ["Base","class","for","TPU","Embedding","Column","."]
docstr: Returns the embedding table size, tuple of vocab size and dimension.
docstr_tok: ["Returns","the","embedding","table","size",",","tuple","of","vocab","size","and","dimension","."]
code: def get_embedding_table_size(self):
      """Returns the embedding table size, tuple of vocab size and dimension."""
      raise NotImplementedError("not implemented")
  
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 3 for calling the _TPUBaseEmbeddingColumn obj's underlying member method code with example usage: obj.get_embedding_table_size() without return types