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 __init__(
      self, pad_idx=1, pad_first=True, seq_len=72, decode=True, **kwargs
  ):
      store_attr("pad_idx, pad_first, seq_len,seq_len")
      super().__init__(**kwargs)
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from ..data.all import *
  from .core import *
label_desc: Use image node_id 1 to create a new Pad_Chunk object from inherited base classes: DisplayedTransform with example: obj = Pad_Chunk(pad_idx, pad_first, seq_len, decode)