code: def __init__(self):
      super().__init__()
      self.layer = torch.nn.Linear(32, 2)
      self.training_step_outputs = []
      self.validation_step_outputs = []
      self.test_step_outputs = []
  
file_path: wandb/tests/functional_tests/t0_main/lightning/pl_base.py
imports: import torch
  from lightning import LightningModule
  from torch.utils.data import Dataset
label_desc: Use image node_id 1 to create a new BoringModel object from inherited base classes: LightningModule with example: obj = BoringModel()