code: def revnet_110_cifar():
      """Tiny hparams suitable for CIFAR/etc."""
      hparams = revnet_cifar_base()
      hparams.bottleneck = False
      hparams.num_channels = [16, 32, 64]
      hparams.num_layers_per_block = [8, 8, 8]
      return hparams
  
imports: import functools
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 13 for calling a global function with example usage: revnet_110_cifar() and returns: hparams