code: def get_dimensions(img: Tensor) -> List[int]:
      _assert_image_tensor(img)
      channels = 1 if img.ndim == 2 else img.shape[-3]
      height, width = img.shape[-2:]
      return [channels, height, width]
  
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 3 for calling a global function with example usage: get_dimensions(img) and returns: list