class_docstr: Implements a basic GAN for the purpose of illustrating multiple optimizers.
code: def adversarial_loss(self, y_hat, y):
      return F.binary_cross_entropy(y_hat, y)
  
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 3 for calling the BasicGAN obj's underlying member method code with example usage: obj.adversarial_loss(y_hat, y) and returns: F