code: def create_module(self, config=None):
      _config = config if config is not None else self.ds_model_config
      self.module = DeepSpeedGPTInference(
          _config, mp_group=self.mp_group
      )
      self.module.config.scale_attention = self.scale_attention
  
      if self.megatron_v2:
          self.module.config.rotate_half = True
          self.module.config.rotate_every_two = False
  
      return self.module
  
imports: from .base import *
  from .features.meta_tensor import MetaTensorContainer
  from .features.hybrid_megatron import HybridMegatronContainer
  from deepspeed.model_implementations.transformers.ds_gpt import DeepSpeedGPTInference
  import torch
  from ..policy import TransformerPolicy
  from ..policy import transformer_param_names
  from ..policy import maybe_copy
  from packaging import version
  from ..policy import maybe_get_lora
label_desc: Use image node_id 2 for calling the DS_GPTNEOXContainer obj's underlying member method code with example usage: obj.create_module(config) and returns: self