code: def __init__(self):
      super().__init__()
      self.deserves_gradient = torch.nn.Parameter(torch.tensor(0.0))
      self.elapsed_training_steps = torch.nn.Parameter(
          torch.tensor(0.0), requires_grad=False
      )
      self.elapsed_epochs = torch.nn.Parameter(
          torch.tensor(0.0), requires_grad=False
      )
  
file_path: life2vec/src/models/dummy.py
imports: from pytorch_lightning import LightningModule
  import torch
  import time
  from torch.nn.functional import cross_entropy
  import logging
label_desc: Use image node_id 1 to create a new DummyModel object from inherited base classes: LightningModule with example: obj = DummyModel()