code: def make_normalize_transform(
      mean: Sequence[float] = IMAGENET_DEFAULT_MEAN,
      std: Sequence[float] = IMAGENET_DEFAULT_STD,
  ) -> transforms.Normalize:
      return transforms.Normalize(mean=mean, std=std)
  
file_path: dinov2/dinov2/data/transforms.py
imports: from typing import Sequence
  import torch
  from torchvision import transforms
label_desc: Use image node_id 1 for calling a global function with example usage: make_normalize_transform(mean, std) and returns: transforms