code: def add_depth_channel(img_tensor, pad_mode):
      """
      img_tensor: N, C, H, W
      """
      img_tensor[:, 1] = get_depth_tensor(pad_mode)
      img_tensor[:, 2] = img_tensor[:, 0] * get_depth_tensor(pad_mode)
  
imports: import os, cv2, glob
  import numpy
  from PIL import Image
  import torch
  import torch.utils.data
  from torchvision import datasets, models, transforms
  from utils import read_masks, get_test_meta, get_nfold_split
  import augmentation
  from settings import *
label_desc: Use image node_id 9 for calling a global function with example usage: add_depth_channel(img_tensor, pad_mode) without return types