class_docstr: A CIFAR-10 data provider.
docstr: Returns a CIFAR-10 `Provider`.
docstr_tok: ["Returns","a","CIFAR-10","`","Provider","`","."]
code: def __init__(self, params_string="", seed=None):
      """Returns a CIFAR-10 `Provider`."""
      # For testing
      self._seed = seed
      default_params = tf.contrib.training.HParams(
          cutout=True, augmentation=PreprocessingType.BASIC
      )
      self._params = default_params.parse(params_string)
  
file_path: adanet/research/improve_nas/trainer/cifar10.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  import numpy
  import tensorflow.compat.v1
  from tensorflow.keras.datasets import cifar10
label_desc: Use image node_id 1 to create a new Provider object from inherited base classes: object with example: obj = Provider(params_string, seed)