code: def __init__(self, config: DeepSpeedInferenceConfig):
      super(BaseOp, self).__init__()
      self.config = config
      if BaseOp.inference_module is None:
          builder = InferenceBuilder()
          BaseOp.inference_module = builder.load()
  
imports: import torch
  from ..config import DeepSpeedInferenceConfig
  from deepspeed.ops.op_builder import InferenceBuilder
label_desc: Use image node_id 1 to create a new BaseOp object from inherited base classes: torch.nn with example: obj = BaseOp(config)