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 pad(self, *inputs):
      return [F.pad(x, self._pad, mode="replicate") for x in inputs]
  
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 2 for calling the InputPadder obj's underlying member method code with example usage: obj.pad() and returns: unknown