class_docstr: Implements a basic GAN for the purpose of illustrating multiple optimizers.
code: def forward(self, z):
      return self.generator(z)
  
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 BasicGAN obj's underlying member method code with example usage: obj.forward(z) and returns: self