class_docstr: Normalize the video clip by mean subtraction and division by standard deviation
  Args:
      mean (3-tuple): pixel RGB mean
      std (3-tuple): pixel RGB standard deviation
      inplace (boolean): whether do in-place normalization
docstr: Args:
      clip (torch.tensor): video clip to be normalized. Size is (C, T, H, W)
docstr_tok: ["Args",":","clip","(","torch.tensor",")",":","video","clip","to","be","normalized",".","Size","is","(","C",",","T",",","H",",","W",")"]
code: def __call__(self, clip):
      """
      Args:
          clip (torch.tensor): video clip to be normalized. Size is (C, T, H, W)
      """
      return F.normalize(clip, self.mean, self.std, self.inplace)
  
imports: import numbers
  import random
  import warnings
  from torchvision.transforms import RandomCrop, RandomResizedCrop
  from .None import _functional_video
label_desc: Use image node_id 2 for calling the NormalizeVideo obj's underlying member method code with example usage: obj.__call__(clip) and returns: F