class_docstr: A fake image data provider.
code: def get_feature_columns(self):
      feature_columns = [
          tf.feature_column.numeric_column(
              key="x", shape=self._shape()
          ),
      ]
      return feature_columns
  
file_path: adanet/research/improve_nas/trainer/fake_data.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 5 for calling the FakeImageProvider obj's underlying member method code with example usage: obj.get_feature_columns() and returns: feature_columns