code: def testExperimentWithClass(self):
      exp_fn = trainer_lib.create_experiment_fn(
          "transformer",
          algorithmic.TinyAlgo(),
          algorithmic.TinyAlgo.data_dir,
          train_steps=1,
          eval_steps=1,
          min_eval_frequency=1,
          use_tpu=False,
      )
      run_config = trainer_lib.create_run_config(
          model_name="transformer",
          model_dir=algorithmic.TinyAlgo.data_dir,
          num_gpus=0,
          use_tpu=False,
      )
      hparams = registry.hparams("transformer_tiny_tpu")
      exp = exp_fn(run_config, hparams)
      exp.test()
  
file_path: tensor2tensor/tensor2tensor/utils/trainer_lib_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from tensor2tensor.data_generators import algorithmic
  from tensor2tensor.models import transformer
  from tensor2tensor.utils import data_reader
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import trainer_lib
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 3 for calling the TrainerLibTest obj's underlying member method code with example usage: obj.testExperimentWithClass() without return types