code: def __init__(self, param_dict):
      super(DeepSpeedAutotuningConfig, self).__init__()
  
      self.enabled = None
      self.start_step = None
      self.end_step = None
      self.metric_path = None
      self.arg_mappings = None
      self.metric = None
      self.model_info = None
      self.results_dir = None
      self.exps_dir = None
      self.overwrite = None
  
      if param_dict and AUTOTUNING in param_dict.keys():
          autotuning_dict = param_dict[AUTOTUNING]
      else:
          autotuning_dict = {}
  
      self._initialize(autotuning_dict)
  
file_path: DeepSpeed/deepspeed/autotuning/config.py
imports: from deepspeed.runtime.config_utils import get_scalar_param, get_dict_param, DeepSpeedConfigObject
  from deepspeed.autotuning.constants import *
label_desc: Use image node_id 1 to create a new DeepSpeedAutotuningConfig object from inherited base classes: DeepSpeedConfigObject with example: obj = DeepSpeedAutotuningConfig(param_dict)