code: def discriminator(self, img):
      with argscope(
          Conv2D, activation=INLReLU, kernel_size=4, strides=2
      ):
          l = (
              LinearWrap(img)
              .Conv2D("conv0", NF, activation=tf.nn.leaky_relu)
              .Conv2D("conv1", NF * 2)
              .Conv2D("conv2", NF * 4)
              .Conv2D("conv3", NF * 8, strides=1)
              .Conv2D(
                  "conv4",
                  1,
                  strides=1,
                  activation=tf.identity,
                  use_bias=True,
              )()
          )
      return l
  
imports: import argparse
  import glob
  import os
  import tensorflow
  from six.moves import range
  from tensorpack import *
  from tensorpack.tfutils.scope_utils import auto_reuse_variable_scope
  from tensorpack.tfutils.summary import add_moving_summary
  from GAN import GANModelDesc, GANTrainer
label_desc: Use image node_id 4 for calling the Model obj's underlying member method code with example usage: obj.discriminator(img) and returns: l