code: def forward(self, x):
      batch_size = x.size()[0]
  
      x = x.view(batch_size, -1)
      x = self.layer_1(x)
      x = F.relu(x)
      x = self.layer_2(x)
      x = F.log_softmax(x, dim=1)
      return x
  
imports: import json
  from glob import glob
  import os
  import torch
  from torch.nn import functional
  from torch import nn
  from pytorch_lightning.core.lightning import LightningModule
  from pytorch_lightning import Trainer
  from torch.optim import Adam
  from torch.utils.data import DataLoader, random_split, Subset
  from torch.utils.data.dataset import Dataset
  from torchvision.datasets import MNIST
  from torchvision import transforms
  import pytest
  import urllib
  from keepsake.pl_callback import KeepsakeCallback
label_desc: Use image node_id 2 for calling the ModelNoValidation obj's underlying member method code with example usage: obj.forward(x) and returns: x