class_docstr: Pad `samples` by adding padding by chunks of size `seq_len`
class_docstr_tok: ["Pad","`","samples","`","by","adding","padding","by","chunks","of","size","`","seq_len","`"]
code: def __call__(self, b, **kwargs):
      self.before_call(b)
      return super().__call__(tuple(b), **kwargs)
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from ..data.all import *
  from .core import *
label_desc: Use image node_id 3 for calling the Pad_Chunk obj's underlying member method code with example usage: obj.__call__(b) and returns: super