code: def mlp_output_mp(self, mp_replace, reversed_dim=False):
      self.module.mlp.output_w = mp_replace.copy(
          self.module.mlp.output_w, self._4hh_w, int8=reversed_dim
      )
      self.module.mlp.output_b = mp_replace.copy(
          self.module.mlp.output_b,
          self._4hh_b,
          int8=reversed_dim,
          allocate_tensor=reversed_dim,
      )
  
imports: from abc import ABC
  import torch
  import deepspeed
  from deepspeed.ops.transformer.inference.config import DeepSpeedInferenceConfig
  from deepspeed.accelerator import get_accelerator
label_desc: Use image node_id 21 for calling the BaseTransformerContainer obj's underlying member method code with example usage: obj.mlp_output_mp(mp_replace, reversed_dim) without return types