code: def deparallelize(self):
      self.transformer.deparallelize()
      self.transformer = self.transformer.to("cpu")
      self.lm_head = self.lm_head.to("cpu")
      self.model_parallel = False
      torch.cuda.empty_cache()
  
imports: from typing import Tuple
  import numpy
  import torch
  import torch.utils.checkpoint
  from torch import nn
  from torch.nn import CrossEntropyLoss
  from transformers.activations import ACT2FN
  from transformers.modeling_outputs import BaseModelOutputWithPast, CausalLMOutputWithPast
  from transformers.modeling_utils import PreTrainedModel
  from transformers.utils import logging
  from transformers.utils.model_parallel_utils import assert_device_map, get_device_map
  from .configuration_codegen import CodeGenConfig
label_desc: Use image node_id 3 for calling the CodeGenForCausalLM obj's underlying member method code with example usage: obj.deparallelize() without return types