code: def test_is_pickle():
      """Assert that we can initialize the metric and pickle it."""
      metric = InceptionScore()
      assert metric
  
      # verify metrics work after being loaded from pickled state
      pickled_metric = pickle.dumps(metric)
      metric = pickle.loads(pickled_metric)
  
file_path: torchmetrics/tests/unittests/image/test_inception.py
imports: import pickle
  from contextlib import nullcontext
  import pytest
  import torch
  from torch.nn import Module
  from torch.utils.data import Dataset
  from torchmetrics.image.inception import InceptionScore
  from torchmetrics.utilities.imports import _TORCH_FIDELITY_AVAILABLE
label_desc: Use image node_id 2 for calling a global function with example usage: test_is_pickle() without return types