class_docstr: Representative dataset loader.
  
  Exposes the `load` method that loads the representative dataset from files.
docstr: Loads the representative datasets.
  
  Returns:
    representative dataset mapping: A loaded signature def key ->
    representative mapping.
docstr_tok: ["Loads","the","representative","datasets",".","Returns",":","representative","dataset","mapping",":","A","loaded","signature","def","key","-",">","representative","mapping","."]
code: def load(self) -> RepresentativeDatasetMapping:
      """Loads the representative datasets.
  
      Returns:
        representative dataset mapping: A loaded signature def key ->
        representative mapping.
      """
      raise NotImplementedError('Method "load" 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 RepresentativeDatasetLoader obj's underlying member method code with example usage: obj.load() without return types