code: def __init__(self, net_param, action_param, action):
      BaseApplication.__init__(self)
      tf.logging.info("starting GAN application")
      self.action = action
  
      self.net_param = net_param
      self.action_param = action_param
  
      self.data_param = None
      self.gan_param = None
  
imports: from __future__ import absolute_import, print_function
  import tensorflow
  from niftynet.application.base_application import BaseApplication
  from niftynet.engine.application_factory import ApplicationNetFactory
  from niftynet.engine.application_factory import OptimiserFactory
  from niftynet.engine.application_variables import CONSOLE, NETWORK_OUTPUT, TF_SUMMARIES
  from niftynet.engine.sampler_random_vector_v2 import RandomVectorSampler
  from niftynet.engine.sampler_resize_v2 import ResizeSampler
  from niftynet.engine.windows_aggregator_identity import WindowAsImageAggregator
  from niftynet.io.image_reader import ImageReader
  from niftynet.layer.binary_masking import BinaryMaskingLayer
  from niftynet.layer.histogram_normalisation import HistogramNormalisationLayer
  from niftynet.layer.loss_gan import LossFunction
  from niftynet.layer.mean_variance_normalisation import MeanVarNormalisationLayer
  from niftynet.layer.rand_flip import RandomFlipLayer
  from niftynet.layer.rand_rotation import RandomRotationLayer
  from niftynet.layer.rand_spatial_scaling import RandomSpatialScalingLayer
label_desc: Use image node_id 1 to create a new GANApplication object from inherited base classes: BaseApplication with example: obj = GANApplication(net_param, action_param, action)