code: def forward(self, x):
      batch_size, channels, width, height = x.size()
      x = x.view(batch_size, -1)
      x = self.layer_1(x)
      x = torch.relu(x)
      x = self.layer_2(x)
      x = torch.relu(x)
      x = self.layer_3(x)
      x = torch.log_softmax(x, dim=1)
      return x
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils.data import DataLoader
  from torchmetrics import Accuracy
  from ray import train
  from ray.train.lightning._lightning_utils import import_lightning
label_desc: Use image node_id 2 for calling the LightningMNISTClassifier obj's underlying member method code with example usage: obj.forward(x) and returns: x