code: def forward(self, x):
      x = x.view(x.size(0), -1)
      x = self.c_d1(x)
      x = torch.tanh(x)
      x = self.c_d1_bn(x)
      x = self.c_d1_drop(x)
      x = self.c_d2(x)
      return x
  
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from lightning.pytorch.core.module import LightningModule
  from torch.utils.data import DataLoader
  from tests_pytorch import _PATH_DATASETS
  from tests_pytorch.helpers.datasets import MNIST, AverageDataset, TrialMNIST
label_desc: Use image node_id 2 for calling the ParityModuleMNIST obj's underlying member method code with example usage: obj.forward(x) and returns: x