code: def on_depth_end(self, depth_transition, logs={}):
      for key, images in self.predictions[-1].items():
          imageio.mimsave(
              os.path.join(
                  self.depth_dir, "epoch_prediction_" + key + ".gif"
              ),
              images,
          )
  
      return
  
imports: import math
  import numpy
  import tensorflow
  import os
  import imageio
  import keras
  import scipy
  from tqdm import tqdm
  from collections import defaultdict
  from deepneuro.utilities.util import add_parameter
  from deepneuro.models.blocks import generator, discriminator
  from deepneuro.models.cost_functions import wasserstein_loss
  from deepneuro.models.gan import GAN
  from deepneuro.models.ops import upscale2d, downscale2d
  from deepneuro.utilities.visualize import check_data
label_desc: Use image node_id 5 for calling the PGGANPredict obj's underlying member method code with example usage: obj.on_depth_end(depth_transition, logs) without return types