code: def _normalize_for_projector(x: TensorImage):
      # normalize tensor to be between 0-1
      img = x.clone()
      sz = img.shape
      img = img.view(x.size(0), -1)
      img -= img.min(1, keepdim=True)[0]
      img /= img.max(1, keepdim=True)[0]
      img = img.view(*sz)
      return img
  
imports: from __future__ import annotations
  from ..basics import *
  import tensorboard
  from torch.utils.tensorboard import SummaryWriter
  from .fp16 import ModelToHalf
  from .hook import hook_output
  from ..text.all import LMLearner, TextLearner
  from ..vision.data import *
  from ..vision.core import TensorPoint, TensorBBox
label_desc: Use image node_id 4 for calling a global function with example usage: _normalize_for_projector(x) and returns: img