code: def forward(self, x):
      return torch.relu(self.l1(x.view(x.size(0), -1)))
  
file_path: labml/samples/lightning/mnist.py
imports: import pytorch_lightning
  import torch
  from torch.nn import functional
  from torch.utils.data import DataLoader
  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 MNISTModel obj's underlying member method code with example usage: obj.forward(x) and returns: torch