class_docstr: Pipeline built by a list of Transform instance.
class_docstr_tok: ["Pipeline","built","by","a","list","of","Transform","instance","."]
docstr: Return str represent key arguments for class.
docstr_tok: ["Return","str","represent","key","arguments","for","class","."]
code: def _repr_args(self):
      """Return str represent key arguments for class."""
      info_args = []
      for transform in self.transforms:
          info_args.append(repr(transform))
      return ", ".join(info_args)
  
imports: import torch
  from onmt.utils.logging import logger
  from onmt.utils.misc import check_path
label_desc: Use image node_id 11 for calling the TransformPipe obj's underlying member method code with example usage: obj._repr_args() and returns: str