code: def test_runner(q, fn, n_runs):
      q.put(np.mean([fn() for _ in range(n_runs)], axis=0))
  
file_path: skorch/examples/benchmarks/freezing.py
imports: from functools import partial
  import resource
  from multiprocessing import Process, Queue
  import torch
  import skorch
  import skorch.helper
  from skorch.toy import make_classifier
  import sklearn.datasets
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: test_runner(q, fn, n_runs) without return types