code: def torchvision_zscore_norm(x: torch.Tensor) -> torch.Tensor:
      mean = [0.485, 0.456, 0.406]
      std = [0.229, 0.224, 0.225]
      x[:, 0, :, :] = (x[:, 0, :, :] - mean[0]) / std[0]
      x[:, 1, :, :] = (x[:, 1, :, :] - mean[1]) / std[1]
      x[:, 2, :, :] = (x[:, 2, :, :] - mean[2]) / std[2]
      return x
  
imports: from __future__ import annotations
  import warnings
  import torch
  import torch.nn
  from monai.utils import optional_import
  from monai.utils.enums import StrEnum
label_desc: Use image node_id 5 for calling a global function with example usage: torchvision_zscore_norm(x) and returns: x