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 encodes(self, x: TensorText):
      return pad_chunk(
          x,
          pad_idx=self.pad_idx,
          pad_first=self.pad_first,
          seq_len=self.seq_len,
          pad_len=self.max_len,
      )
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from ..data.all import *
  from .core import *
label_desc: Use image node_id 4 for calling the Pad_Chunk obj's underlying member method code with example usage: obj.encodes(x) and returns: pad_chunk