class_docstr: A fake image data provider.
code: def __init__(
      self,
      num_examples=3,
      num_classes=3,
      image_dim=8,
      channels=1,
      seed=42,
  ):
      self._num_examples = num_examples
      self._num_classes = num_classes
      self._seed = seed
      self._channels = channels
      self._image_dim = image_dim
  
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 1 to create a new FakeImageProvider object from inherited base classes: object with example: obj = FakeImageProvider(num_examples, num_classes, image_dim, channels, seed)