code: def assign_placeholder(self, var_name, var_val):
      self.sess.run(
          getattr(self, var_name + "_op"),
          {getattr(self, var_name + "_placeholder"): var_val},
      )
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import tensorflow
  import bz2
  import PIL.Image
  from PIL import ImageFilter
  import numpy
  from keras.models import Model
  from keras.applications.vgg16 import VGG16, preprocess_input
  import keras.backend
  import traceback
  import external.stylegan2.dnnlib.tflib
  from core.landmark_handler import Landmark_Handler
  from core import arcface_handler
label_desc: Use image node_id 3 for calling the PerceptualModel obj's underlying member method code with example usage: obj.assign_placeholder(var_name, var_val) without return types