code: def test_lightining_keypoints_rcnn_train(
      ochuman_keypoints_dls, light_model_cls
  ):
      train_dl, valid_dl = ochuman_keypoints_dls
      model = keypoint_rcnn.model(num_keypoints=19)
      light_model = light_model_cls(model)
  
      trainer = pl.Trainer(
          max_epochs=1,
          enable_model_summary=False,
          num_sanity_val_steps=0,
          logger=False,
          enable_checkpointing=False,
      )
      trainer.fit(light_model, train_dl, valid_dl)
  
imports: import pytest
  from icevision.all import *
  from icevision.models.torchvision import keypoint_rcnn
label_desc: Use image node_id 2 for calling a global function with example usage: test_lightining_keypoints_rcnn_train(ochuman_keypoints_dls, light_model_cls) without return types