code: def make_transform_f(transforms):
      if type(transforms) is not list:
          transforms = transform.standard_transforms
      transform_f = transform.compose(transforms)
      return transform_f
  
file_path: lucid/lucid/optvis/render.py
imports: from __future__ import absolute_import, division, print_function
  from future.standard_library import install_aliases
  from builtins import range
  import numpy
  import tensorflow
  import logging
  from lucid.optvis import objectives, param, transform
  from lucid.misc.io import show
  from lucid.misc.redirected_relu_grad import redirected_relu_grad, redirected_relu6_grad
  from lucid.misc.gradient_override import gradient_override_map
label_desc: Use image node_id 5 for calling a global function with example usage: make_transform_f(transforms) and returns: transform_f