class_docstr: Representative dataset saver.
  
  Exposes a single method `save` that saves the provided representative dataset
  into files.
  
  This is useful when you would like to keep a snapshot of your representative
  dataset at a file system or when you need to pass the representative dataset
  as files.
class_docstr_tok: ["Representative","dataset","saver",".","Exposes","a","single","method","`","save","`","that","saves","the","provided","representative","dataset","into","files",".","This","is","useful","when","you","would","like","to","keep","a","snapshot","of","your","representative","dataset","at","a","file","system","or","when","you","need","to","pass","the","representative","dataset","as","files","."]
docstr: Saves the representative dataset.
  
  Args:
    representative_dataset: RepresentativeDatasetMapping which is a
      signature_def_key -> representative dataset mapping.
docstr_tok: ["Saves","the","representative","dataset",".","Args",":","representative_dataset",":","RepresentativeDatasetMapping","which","is","a","signature_def_key","-",">","representative","dataset","mapping","."]
code: def save(
      self, representative_dataset: RepresentativeDatasetMapping
  ) -> Mapping[str, _RepresentativeDatasetFile]:
      """Saves the representative dataset.
  
      Args:
        representative_dataset: RepresentativeDatasetMapping which is a
          signature_def_key -> representative dataset mapping.
      """
      raise NotImplementedError('Method "save" is not implemented.')
  
imports: import collections.abc
  import os
  from typing import Iterable, Mapping, Optional, Union
  import numpy
  from tensorflow.compiler.mlir.quantization.tensorflow import quantization_options_pb2
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.python.client import session
  from tensorflow.python.data.ops import readers
  from tensorflow.python.eager import context
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.lib.io import python_io
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.types import core
  from tensorflow.python.util import tf_export
label_desc: Use image node_id 1 for calling the RepresentativeDatasetSaver obj's underlying member method code with example usage: obj.save(representative_dataset) without return types