code: def __call__(self, x):
      for c in [128, 256, 512, 1024]:
          x = elegy.nn.conv.Conv(c, (4, 4), stride=(2, 2))(x)
          x = jax.nn.leaky_relu(x, negative_slope=0.2)
      x = elegy.nn.Flatten()(x)
      x = elegy.nn.Linear(1)(x)
      return x
  
file_path: elegy/examples/need-fixing/WGAN-GP/model.py
imports: import jax
  import jax.numpy
  import optax
  import elegy
label_desc: Use image node_id 1 for calling the Discriminator obj's underlying member method code with example usage: obj.__call__(x) and returns: x