class_docstr: A CIFAR-10 data provider.
docstr: Returns feature columns.
docstr_tok: ["Returns","feature","columns","."]
code: def get_feature_columns(self):
      """Returns feature columns."""
      feature_columns = [
          tf.feature_column.numeric_column(
              key=FEATURES, shape=self._shape()
          )
      ]
      return feature_columns
  
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 7 for calling the Provider obj's underlying member method code with example usage: obj.get_feature_columns() and returns: feature_columns