code: def test_jit(tmpdir, jitter, args):
      path = os.path.join(tmpdir, "testing_model.pt")
  
      model = TemplateSKLearnClassifier(num_features=16, num_classes=10)
      model.eval()
  
      model = jitter(model, *args)
  
      torch.jit.save(model, path)
      model = torch.jit.load(path)
  
      out = model(torch.rand(1, 16))
      assert isinstance(out, Tensor)
      assert out.shape == torch.Size([1, 10])
  
imports: import os
  import numpy
  import pytest
  import torch
  from flash import Trainer
  from flash.core.data.io.input import DataKeys
  from flash.core.utilities.imports import _SKLEARN_AVAILABLE, _TOPIC_CORE_AVAILABLE
  from flash.template import TemplateSKLearnClassifier
  from flash.template.classification.data import TemplateData
  from torch import Tensor
label_desc: Use image node_id 8 for calling a global function with example usage: test_jit(tmpdir, jitter, args) without return types