class_docstr: BenchMarkArguments are arguments we use in our benchmark scripts **which relate to the training loop itself**.
  
  Using `HfArgumentParser` we can turn this class into argparse arguments to be able to specify them on the command
  line.
class_docstr_tok: ["BenchMarkArguments","are","arguments","we","use","in","our","benchmark","scripts","*","*","which","relate","to","the","training","loop","itself","*","*",".","Using","`","HfArgumentParser","`","we","can","turn","this","class","into","argparse","arguments","to","be","able","to","specify","them","on","the","command","line","."]
code: def __post_init__(self):
      warnings.warn(
          f"The class {self.__class__} is deprecated. Hugging Face Benchmarking utils"
          " are deprecated in general and it is advised to use external Benchmarking libraries "
          " to benchmark Transformer models.",
          FutureWarning,
      )
  
file_path: transformers/src/transformers/benchmark/benchmark_args_utils.py
imports: import dataclasses
  import json
  import warnings
  from dataclasses import dataclass, field
  from time import time
  from typing import List
  from ..utils import logging
label_desc: Use image node_id 1 for calling the BenchmarkArguments obj's underlying member method code with example usage: obj.__post_init__() without return types