code: def forward(self, x):
      x = x.dot(self.l1).leakyrelu(0.2)
      x = x.dot(self.l2).leakyrelu(0.2)
      x = x.dot(self.l3).leakyrelu(0.2)
      x = x.dot(self.l4).tanh()
      return x
  
file_path: tinygrad/examples/mnist_gan.py
imports: from pathlib import Path
  import numpy
  from tqdm import trange
  import torch
  from torchvision.utils import make_grid, save_image
  from tinygrad.nn.state import get_parameters
  from tinygrad.tensor import Tensor
  from tinygrad.helpers import getenv
  from tinygrad.nn import optim
  from extra.datasets import fetch_mnist
label_desc: Use image node_id 2 for calling the LinearGen obj's underlying member method code with example usage: obj.forward(x) and returns: x