docstr: return a (b, 1) logits
docstr_tok: ["return","a","(","b",",","1",")","logits"]
code: def discriminator(self, imgs, y):
      """return a (b, 1) logits"""
      yv = y
      y = tf.reshape(y, [-1, 1, 1, 10])
      with argscope(Conv2D, kernel_size=5, strides=1):
          l = (
              LinearWrap(imgs)
              .ConcatWith(tf.tile(y, [1, 28, 28, 1]), 3)
              .Conv2D("conv0", 11)
              .tf.nn.leaky_relu()
              .ConcatWith(tf.tile(y, [1, 14, 14, 1]), 3)
              .Conv2D("conv1", 74)
              .BatchNorm("bn1")
              .tf.nn.leaky_relu()
              .apply(batch_flatten)
              .ConcatWith(yv, 1)
              .FullyConnected("fc1", 1024, activation=tf.identity)
              .BatchNorm("bn2")
              .tf.nn.leaky_relu()
              .ConcatWith(yv, 1)
              .FullyConnected("fct", 1, activation=tf.identity)()
          )
      return l
  
file_path: tensorpack/examples/GAN/ConditionalGAN-mnist.py
imports: import argparse
  import numpy
  import os
  import cv2
  import tensorflow
  from tensorpack import *
  from tensorpack.dataflow import dataset
  from tensorpack.tfutils.scope_utils import auto_reuse_variable_scope
  from tensorpack.utils.viz import interactive_imshow, stack_patches
  from GAN import GANModelDesc, GANTrainer, RandomZData
label_desc: Use image node_id 3 for calling the Model obj's underlying member method code with example usage: obj.discriminator(imgs, y) and returns: l