class_docstr: Testing PL Module.
  
  Use as follows:
  - subclass
  - modify the behavior for what you want
  
  class TestModel(BaseTestModel):
      def training_step(...):
          # do your own thing
  
  or:
  
  model = BaseTestModel()
  model.validation_step = None
class_docstr_tok: ["Testing","PL","Module",".","Use","as","follows",":","-","subclass","-","modify","the","behavior","for","what","you","want","class","TestModel","(","BaseTestModel",")",":","def","training_step","(","...",")",":","#","do","your","own","thing","or",":","model","=","BaseTestModel","(",")","model.validation_step","=","None"]
docstr: Define test dataloader used for testing the model.
docstr_tok: ["Define","test","dataloader","used","for","testing","the","model","."]
code: def test_dataloader(self):
      """Define test dataloader used for testing the model."""
      return torch.utils.data.DataLoader(RandomDataset(32, 64))
  
imports: import torch
  from lightning_utilities import module_available
  from torch.utils.data import Dataset
label_desc: Use image node_id 11 for calling the BoringModel obj's underlying member method code with example usage: obj.test_dataloader() and returns: torch