code: def training_step(self, batch, batch_idx):
      assert len(batch.shape) == 1
  
      for i, x in enumerate(batch):
          self.log(f"batch_{i}", x.to(torch.float))
  
      self.elapsed_training_steps += 1
  
      self.log("elapsed_training_steps", self.elapsed_training_steps)
      self.log("elapsed_epochs", self.elapsed_epochs)
      self.log("random_value", torch.randn(size=tuple()))
  
      return None
  
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 2 for calling the DummyModel obj's underlying member method code with example usage: obj.training_step(batch, batch_idx) and returns: None