code: def plot_img(losses_log):
      sw.add_image(
          tag="A",
          image=nd.clip(
              nd.concatenate(
                  [
                      losses_log["real_A"][0][0:1],
                      losses_log["fake_B"][0][0:1],
                      losses_log["rec_A"][0][0:1],
                      losses_log["idt_A"][0][0:1],
                  ]
              )
              * 0.5
              + 0.5,
              0,
              1,
          ),
      )
      sw.add_image(
          tag="B",
          image=nd.clip(
              nd.concatenate(
                  [
                      losses_log["real_B"][0][0:1],
                      losses_log["fake_A"][0][0:1],
                      losses_log["rec_B"][0][0:1],
                      losses_log["idt_B"][0][0:1],
                  ]
              )
              * 0.5
              + 0.5,
              0,
              1,
          ),
      )
  
imports: import argparse
  import random
  from mxnet import gluon, image, autograd
  from mxnet.gluon.data.vision import transforms
  from mxnet.base import numeric_types
  import gluoncv
  from gluoncv import utils
  from mxnet.gluon.data import DataLoader
  from mxnet.gluon import nn
  import mxnet.ndarray
  import mxnet
  import os
  import numpy
  from mxboard import SummaryWriter
label_desc: Use image node_id 5 for calling a global function with example usage: plot_img(losses_log) without return types