code: def to_image(x):
      "Convert a tensor or array to a PIL int8 Image"
      if isinstance(x, Image.Image):
          return x
      if isinstance(x, Tensor):
          x = to_np(x.permute((1, 2, 0)))
      if x.dtype == np.float32:
          x = (x * 255).astype(np.uint8)
      return Image.fromarray(x, mode=["RGB", "CMYK"][x.shape[0] == 4])
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from ..data.all import *
  from PIL import Image
  from matplotlib import patches, patheffects
label_desc: Use image node_id 9 for calling a global function with example usage: to_image(x) and returns: Image, x