code: def _get_cache_path(filepath):
      import hashlib
  
      h = hashlib.sha1(filepath.encode()).hexdigest()
      cache_path = os.path.join(
          "~",
          ".torch",
          "vision",
          "datasets",
          "imagefolder",
          h[:10] + ".pt",
      )
      cache_path = os.path.expanduser(cache_path)
      return cache_path
  
imports: import datetime
  import os
  import time
  import warnings
  import presets
  import torch
  import torch.utils.data
  import torchvision
  import torchvision.transforms
  import utils
  from sampler import RASampler
  from torch import nn
  from torch.utils.data.dataloader import default_collate
  from torchvision.transforms.functional import InterpolationMode
  from transforms import get_mixup_cutmix
label_desc: Use image node_id 3 for calling a global function with example usage: _get_cache_path(filepath) and returns: cache_path