class_docstr: Sets parameters for DeepSpeed Inference Engine. 
class_docstr_tok: ["Sets","parameters","for","DeepSpeed","Inference","Engine","."]
code: def moe_backward_compat(cls, field_value, values):
      if isinstance(field_value, bool):
          return DeepSpeedMoEConfig(moe=field_value)
      return field_value
  
imports: import torch
  from deepspeed.runtime.config_utils import DeepSpeedConfigModel
  from deepspeed.runtime.zero.config import DeepSpeedZeroConfig
  from pydantic import Field
  from pydantic import validator
  from typing import Dict, Union
  from enum import Enum
label_desc: Use image node_id 1 for calling the DeepSpeedInferenceConfig obj's underlying member method code with example usage: obj.moe_backward_compat(cls, field_value, values) and returns: field_value, DeepSpeedMoEConfig