code: def step(self, model: Module, batch: Any) -> Tensor:
      output = model(batch)
      return torch.nn.functional.mse_loss(
          output, torch.ones_like(output)
      )
  
imports: from typing import Any, Iterator
  import torch
  import torch.nn
  from lightning.fabric import Fabric
  from torch import Tensor
  from torch.nn import Module
  from torch.optim import Optimizer
  from torch.utils.data import DataLoader, Dataset, IterableDataset
label_desc: Use image node_id 4 for calling the BoringFabric obj's underlying member method code with example usage: obj.step(model, batch) and returns: torch