code: def __init__(self, mean, std):
      super().__init__()
  
      self.register_buffer(
          "mean",
          torch.tensor(mean, dtype=torch.float32).reshape(
              len(mean), 1, 1, 1
          ),
          persistent=False,
      )
      self.register_buffer(
          "std",
          torch.tensor(std, dtype=torch.float32).reshape(
              len(std), 1, 1, 1
          ),
          persistent=False,
      )
  
file_path: NeMo/nemo/collections/multimodal/speech_cv/modules/video_preprocessing.py
imports: import torch
  from torch import nn
  from nemo.collections.multimodal.speech_cv.parts.submodules.permute import Permute
  from nemo.core.classes import NeuralModule, typecheck
label_desc: Use image node_id 1 to create a new NormalizeVideo object from inherited base classes: NeuralModule with example: obj = NormalizeVideo(mean, std)