code: def destroy(self):
      # Have to import here because inference_module is a global, but python
      # globals only work at the module level and will not be updated unless
      # we import it each time we init a new inference engine.
      from ..model_implementations.transformers.ds_transformer import (
          inference_module,
      )
  
      DeepSpeedTransformerInference.layer_id = 0
      DeepSpeedSelfAttention.num_layers = 0
      if inference_module is not None:
          inference_module.release_workspace()
          inference_module = None
  
imports: import torch
  import time
  import os
  from deepspeed import comm
  from deepspeed.utils.logging import log_dist
  from torch.nn.modules import Module
  from packaging import version
  from deepspeed.runtime.checkpoint_engine.torch_checkpoint_engine import TorchCheckpointEngine
  from deepspeed.utils.timer import SynchronizedWallClockTimer
  from ..runtime.state_dict_factory import SDLoaderFactory
  from ..runtime.weight_quantizer import WeightQuantization
  from ..module_inject import replace_transformer_layer, generic_injection
  from ..comm.comm import init_distributed
  from ..pipe import PipelineModule
  from ..moe.utils import has_moe_layers
  from ..module_inject import LinearAllreduce, LinearLayer, Normalize, ReplaceWithTensorSlicing
  from deepspeed.accelerator import get_accelerator
  from ..module_inject.policy import TransformerPolicy
  from ..module_inject.auto_tp import AutoTP
  from ..module_inject.replace_policy import generic_policies
  from ..module_inject.auto_tp_model_utils import build_bloom_alibi_tensor, build_mpt_atten_bias_tensor, build_mpt_alibi_tensor, get_alibi_mask
  from ..ops.transformer.inference.ds_attention import DeepSpeedSelfAttention
  from ..model_implementations.transformers.ds_transformer import DeepSpeedTransformerInference
  from torch import nn
label_desc: Use image node_id 2 for calling the InferenceEngine obj's underlying member method code with example usage: obj.destroy() without return types