code: def __init__(
      self,
      results,
      row_group,
      render_env,
      env_str_len,
      row_name_str_len,
      time_scale,
      colorize,
      num_threads=None,
  ):
      super().__init__()
      self._results = results
      self._row_group = row_group
      self._render_env = render_env
      self._env_str_len = env_str_len
      self._row_name_str_len = row_name_str_len
      self._time_scale = time_scale
      self._colorize = colorize
      self._columns: Tuple[_Column, ...] = ()
      self._num_threads = num_threads
  
imports: import collections
  import enum
  import itertools
  from typing import DefaultDict, List, Optional, Tuple
  from torch.utils.benchmark.utils import common
  from torch import tensor
label_desc: Use image node_id 1 to create a new _Row object  with example: obj = _Row(results, row_group, render_env, env_str_len, row_name_str_len, time_scale, colorize, num_threads)