class_docstr: This container identifies which methods need to be overridden in addition to
  the base container to enable use in the RLHF pipeline. These methods are not
  necessary for inference alone.
  
  NOTE: If you are using this feature with a container that
  also inherits from `MetaTensorContainer`, ensure that `MetaTensorContainer`
  is inherited before `HybridEngineContainer` in the class definition.
class_docstr_tok: ["This","container","identifies","which","methods","need","to","be","overridden","in","addition","to","the","base","container","to","enable","use","in","the","RLHF","pipeline",".","These","methods","are","not","necessary","for","inference","alone",".","NOTE",":","If","you","are","using","this","feature","with","a","container","that","also","inherits","from","`","MetaTensorContainer","`",",","ensure","that","`","MetaTensorContainer","`","is","inherited","before","`","HybridEngineContainer","`","in","the","class","definition","."]
docstr: Narrower sub-method for finer grained overriding.
docstr_tok: ["Narrower","sub-method","for","finer","grained","overriding","."]
code: def set_mlp_params_wo_copy(self, **kwargs):
      """
      Narrower sub-method for finer grained overriding.
      """
      self.module.mlp.inter_w = self._h4h_w
      self.module.mlp.inter_b = self._h4h_b
      self.module.mlp.output_w = self._4hh_w
      self.module.mlp.output_b = self._4hh_b
  
imports: from abc import ABC, abstractmethod
  from typing import List, Tuple
  import torch
label_desc: Use image node_id 19 for calling the HybridEngineContainer obj's underlying member method code with example usage: obj.set_mlp_params_wo_copy() without return types