class_docstr: A Simple PL Model.
  
  This model is adapted from BoringModel in
  https://github.com/PyTorchLightning/pytorch-lightning/
  blob/master/pytorch_lightning/demos/boring_classes.py
class_docstr_tok: ["A","Simple","PL","Model",".","This","model","is","adapted","from","BoringModel","in","https",":","\/\/github.com\/PyTorchLightning\/pytorch-lightning\/","blob\/master\/pytorch_lightning\/demos\/boring_classes.py"]
code: def loss(self, batch, prediction):
      # An arbitrary loss to have a loss that updates the model weights during `Trainer.fit` calls
      return torch.nn.functional.mse_loss(
          prediction, torch.ones_like(prediction)
      )
  
imports: import torch
  from torch.utils.data import DataLoader, Dataset
  from pytorch_lightning import LightningModule
label_desc: Use image node_id 3 for calling the BoringModel obj's underlying member method code with example usage: obj.loss(batch, prediction) and returns: torch