code: def process_output(self, output):
      output = output.cpu().detach().numpy()
      return output
  
imports: import warnings
  import psutil
  import torch
  import torch.nn
  from tqdm import tqdm
  from tez import enums
  from tez.callbacks import CallbackRunner
  from tez.utils import AverageMeter
label_desc: Use image node_id 20 for calling the Model obj's underlying member method code with example usage: obj.process_output(output) and returns: output