code: def custom_mean(x):
      return x.prod() ** (2.0 / np.sqrt(len(x)))
  
imports: from PIL import Image
  import torch
  import torch.backends.cudnn
  import torch.utils.data
  import torch.nn.functional
  import torchvision.transforms
  import numpy
  from collections import OrderedDict
  import importlib
  from .utils import CTCLabelConverter
  import math
label_desc: Use image node_id 1 for calling a global function with example usage: custom_mean(x) and returns: unknown