code: def run_discriminator(
      self, images: Tensor, context: Tensor
  ) -> Tensor:
      if self.discriminator.is_conditional:
          return self.discriminator(images, context)
      else:
          return self.discriminator(images)
  
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 4 for calling the GANCompressionModule obj's underlying member method code with example usage: obj.run_discriminator(images, context) and returns: self, self