class_docstr: The TPUEmbedding Base class.
  
  This class only contains the basic logic to check the feature config and table
  config for the tpu embedding mid level APIs.
docstr: Returns a dict of embedding tables, keyed by `TableConfig`.
docstr_tok: ["Returns","a","dict","of","embedding","tables",",","keyed","by","`","TableConfig","`","."]
code: def embedding_tables(self):
      """Returns a dict of embedding tables, keyed by `TableConfig`."""
      raise NotImplementedError
  
file_path: tensorflow/tensorflow/python/tpu/tpu_embedding_base.py
imports: import functools
  from typing import Any, Dict, Iterable, Optional, Union, Text
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import variables
  from tensorflow.python.tpu import tpu_embedding_v2_utils
  from tensorflow.python.trackable import autotrackable
  from tensorflow.python.util import nest
label_desc: Use image node_id 2 for calling the TPUEmbeddingBase obj's underlying member method code with example usage: obj.embedding_tables() without return types