code: def get_grad(model, layer_name, obses, **kwargs):
      kwargs["grad_or_attr"] = "grad"
      return get_grad_or_attr(model, layer_name, None, obses, **kwargs)
  
file_path: lucid/lucid/scratch/rl_util/attribution.py
imports: import numpy
  import tensorflow
  import lucid.optvis.render
  import itertools
  from lucid.misc.gradient_override import gradient_override_map
label_desc: Use image node_id 6 for calling a global function with example usage: get_grad(model, layer_name, obses) and returns: get_grad_or_attr