class_docstr: Implements a basic GAN for the purpose of illustrating multiple optimizers.
code: def train_dataloader(self):
      return DataLoader(
          TrialMNIST(root=_PATH_DATASETS, train=True, download=True),
          batch_size=16,
      )
  
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 6 for calling the BasicGAN obj's underlying member method code with example usage: obj.train_dataloader() and returns: DataLoader