class_docstr: Pads images such that dimensions are divisible by 8
class_docstr_tok: ["Pads","images","such","that","dimensions","are","divisible","by","8"]
code: def unpad(self, x):
      ht, wd = x.shape[-2:]
      c = [
          self._pad[2],
          ht - self._pad[3],
          self._pad[0],
          wd - self._pad[1],
      ]
      return x[..., c[0] : c[1], c[2] : c[3]]
  
imports: import datetime
  import os
  import time
  from collections import defaultdict, deque
  import torch
  import torch.distributed
  import torch.nn.functional
label_desc: Use image node_id 3 for calling the InputPadder obj's underlying member method code with example usage: obj.unpad(x) and returns: x