code: def __init__(self, discriminator, generator, latent_dim):
      super().__init__()
      self.discriminator = discriminator
      self.generator = generator
      self.latent_dim = latent_dim
      self.d_loss_tracker = keras.metrics.Mean(name="d_loss")
      self.g_loss_tracker = keras.metrics.Mean(name="g_loss")
      self.seed_generator = keras.random.SeedGenerator(1337)
  
imports: import os
  import tensorflow
  import keras
  from keras import layers
  import numpy
label_desc: Use image node_id 1 to create a new GAN object from inherited base classes: keras with example: obj = GAN(discriminator, generator, latent_dim)