code: def image_to_string(image: Tensor, max_width: int = 256) -> str:
      """Obtain the closest xterm-256 approximation string from an image tensor.
  
      The tensor shall be either 0~1 float type or 0~255 long type.
  
      Args:
          image: an RGB image with shape :math:`3HW`.
          max_width: maximum width of the input image.
      """
      KORNIA_CHECK_IS_IMAGE(image, None, raises=True)
      KORNIA_CHECK_SHAPE(image, ["C", "H", "W"])
  
      if image.dtype not in [float16, float32, float64]:
          image = image / 255.0  # In case of resizing.
  
      if image.shape[-1] > max_width:
          image = kornia.geometry.resize(
              image,
              (image.size(-2) * max_width // image.size(-1), max_width),
          )
  
      image = (image * 255).long()
  
      res = ""
      for y in range(image.size(-2)):
          for x in range(image.size(-1)):
              r, g, b = image[:, y, x]
              h = f"{r:2x}{g:2x}{b:2x}"
              short, _ = rgb2short(h)
              res += "\033[48;5;%sm  " % short
          res += "\033[0m\n"
      return res
  
file_path: kornia/kornia/utils/image_print.py
imports: import re
  from typing import Tuple, Union
  from torch import float16, float32, float64
  import kornia
  from kornia.core import Tensor
  from kornia.core.check import KORNIA_CHECK_IS_IMAGE, KORNIA_CHECK_SHAPE
  from kornia.io import ImageLoadType
label_desc: Use image node_id 5 for calling a global function with example usage: image_to_string(image, max_width) and returns: res