code: def resnet_tiny_cpu():
      hparams = resnet.resnet_base()
      hparams.layer_sizes = [2, 2, 2, 2]
      hparams.use_nchw = False
      return hparams
  
file_path: tensor2tensor/tensor2tensor/models/resnet_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensor2tensor.data_generators import problem_hparams
  from tensor2tensor.layers import modalities
  from tensor2tensor.models import resnet
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 1 for calling a global function with example usage: resnet_tiny_cpu() and returns: hparams