code: def test_config_combination():
      for _ in range(100):
          test_config = build_config().rand
          est = TorchImageClassificationEstimator(test_config)
          res = est.fit(IMAGE_CLASS_DATASET)
          est.predict(IMAGE_CLASS_TEST)
          est.predict_feature(IMAGE_CLASS_TEST)
          _save_load_test(est, "test.pkl")
  
file_path: gluon-cv/tests/auto/test_torch_auto_estimators.py
imports: from nose.tools import nottest
  from gluoncv.auto.estimators import TorchImageClassificationEstimator
  from gluoncv.auto.tasks import ImageClassification, ImagePrediction
  import autogluon.core
  from autogluon.core.scheduler.resource import get_cpu_count, get_gpu_count
label_desc: Use image node_id 5 for calling a global function with example usage: test_config_combination() without return types