code: def forward(self, x):
      x = self.model(x)
      return F.log_softmax(x, dim=1)
  
imports: import pytorch_lightning
  import torch
  from pytorch_lightning.metrics.functional import accuracy
  from torch import nn
  from torch.nn import functional
  from torch.utils.data import DataLoader, random_split
  from torchvision import transforms
  from torchvision.datasets import MNIST
  from labml import lab, experiment
  from labml.utils.lightning import LabMLLightningLogger
label_desc: Use image node_id 2 for calling the LitMNIST obj's underlying member method code with example usage: obj.forward(x) and returns: F