code: def test_fid_pickle():
      """Assert that we can initialize the metric and pickle it."""
      metric = FrechetInceptionDistance()
      assert metric
  
      # verify metrics work after being loaded from pickled state
      pickled_metric = pickle.dumps(metric)
      metric = pickle.loads(pickled_metric)
  
imports: import pickle
  from contextlib import nullcontext
  from functools import partial
  import pytest
  import torch
  from torch.nn import Module
  from torch.utils.data import Dataset
  from torchmetrics.image.fid import FrechetInceptionDistance, NoTrainInceptionV3
  from torchmetrics.utilities.imports import _TORCH_FIDELITY_AVAILABLE
label_desc: Use image node_id 3 for calling a global function with example usage: test_fid_pickle() without return types