code: def _equalize_single_image(img: Tensor) -> Tensor:
      return torch.stack(
          [_scale_channel(img[c]) for c in range(img.size(0))]
      )
  
imports: import warnings
  from typing import List, Optional, Tuple, Union
  import torch
  from torch import Tensor
  from torch.nn.functional import conv2d, grid_sample, interpolate, pad
label_desc: Use image node_id 45 for calling a global function with example usage: _equalize_single_image(img) and returns: torch