class_docstr: Sets parameters for DeepSpeed Inference Engine. 
code: def has_triton(cls, field_value, values):
      if field_value and not deepspeed.HAS_TRITON:
          raise ValueError(
              "Triton needs to be installed to use deepspeed with triton kernels"
          )
      return field_value
  
imports: import torch
  import deepspeed
  from deepspeed.pydantic_v1 import Field, validator
  from deepspeed.runtime.config_utils import DeepSpeedConfigModel
  from deepspeed.runtime.zero.config import DeepSpeedZeroConfig
  from typing import Dict, Union
  from enum import Enum
label_desc: Use image node_id 2 for calling the DeepSpeedInferenceConfig obj's underlying member method code with example usage: obj.has_triton(cls, field_value, values) and returns: field_value