code: def forward(self, z):
      img = self.model(z)
      img = img.view(img.size(0), *self.img_shape)
      return img
  
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 Generator obj's underlying member method code with example usage: obj.forward(z) and returns: img