code: def __init__(self, shape):
      super(RandomZData, self).__init__()
      self.shape = shape
  
imports: import numpy
  import tensorflow
  from tensorpack import BatchNorm, DataFlow, ModelDescBase, StagingInput, TowerTrainer, argscope
  from tensorpack.graph_builder import DataParallelBuilder, LeastLoadedDeviceSetter
  from tensorpack.tfutils.summary import add_moving_summary
  from tensorpack.tfutils.tower import TowerContext, TowerFunc
  from tensorpack.utils import logger
  from tensorpack.utils.argtools import memoized_method
label_desc: Use image node_id 1 to create a new RandomZData object from inherited base classes: DataFlow with example: obj = RandomZData(shape)