code: def resnet_cifar_32():
      hp = resnet_cifar_15()
      hp.layer_sizes = [5, 5, 5]
      return hp
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.utils import hparam
  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 18 for calling a global function with example usage: resnet_cifar_32() and returns: hp