code: def forward(self, x):
      return self.model(x)
  
imports: from typing import Optional, Tuple
  import hydra
  import torch
  import torch.nn
  from omegaconf import DictConfig
  from target_compression_module import TargetRateCompressionModule
  from torch import Tensor
  from neuralcompression import HyperpriorOutput
  from neuralcompression.loss_fn import DiscriminatorLoss, DistortionLoss, GeneratorLoss, TargetRateConfig
  from neuralcompression.models import HyperpriorAutoencoderBase
label_desc: Use image node_id 5 for calling the GANCompressionModule obj's underlying member method code with example usage: obj.forward(x) and returns: self