code: def test_plot(self):
      set_determinism(0)
  
      testing_dir = os.path.join(
          os.path.dirname(os.path.realpath(__file__)), "testing_data"
      )
  
      net = torch.nn.Conv2d(1, 1, 3, padding=1)
  
      opt = torch.optim.Adam(net.parameters())
  
      img = torch.rand(1, 16, 16)
  
      # a third non-image key is added to test that this is correctly ignored when plotting
      data = {
          CommonKeys.IMAGE: img,
          CommonKeys.LABEL: img,
          "Not Image Data": ["This isn't an image"],
      }
  
      loader = DataLoader([data] * 20, batch_size=2)
  
      trainer = SupervisedTrainer(
          device=torch.device("cpu"),
          max_epochs=1,
          train_data_loader=loader,
          network=net,
          optimizer=opt,
          loss_function=torch.nn.L1Loss(),
      )
  
      logger = MetricLogger()
      logger.attach(trainer)
  
      con = ThreadContainer(trainer)
      con.start()
      con.join()
  
      fig = con.plot_status(logger)
  
      with tempfile.TemporaryDirectory() as tempdir:
          tempimg = f"{tempdir}/threadcontainer_plot_test.png"
          fig.savefig(tempimg)
          comp = compare_images(
              f"{testing_dir}/threadcontainer_plot_test.png",
              tempimg,
              5e-2,
          )
  
          self.assertIsNone(comp, comp)
  
file_path: MONAI/tests/test_threadcontainer.py
imports: from __future__ import annotations
  import os
  import tempfile
  import time
  import unittest
  import torch
  from monai.data import DataLoader
  from monai.utils import optional_import, set_determinism
  from monai.utils.enums import CommonKeys
  from tests.utils import SkipIfNoModule
label_desc: Use image node_id 2 for calling the TestThreadContainer obj's underlying member method code with example usage: obj.test_plot() without return types