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: If available, set the LoRA parameters for the module.  An implementation
  for this would iterate over all parameters of the model and use the `maybe_get_lora` helper
  method to check if the parameter does in fact have any LoRA params.
docstr_tok: ["If","available",",","set","the","LoRA","parameters","for","the","module",".","An","implementation","for","this","would","iterate","over","all","parameters","of","the","model","and","use","the","`","maybe_get_lora","`","helper","method","to","check","if","the","parameter","does","in","fact","have","any","LoRA","params","."]
code: def set_lora_params(self):
      """
      If available, set the LoRA parameters for the module.  An implementation
      for this would iterate over all parameters of the model and use the `maybe_get_lora` helper
      method to check if the parameter does in fact have any LoRA params.
      """
      raise NotImplementedError(
          "A set_lora_params() function must be defined for the relevant parameters."
      )
  
imports: from abc import ABC, abstractmethod
  from typing import List, Tuple
  import torch
label_desc: Use image node_id 4 for calling the HybridEngineContainer obj's underlying member method code with example usage: obj.set_lora_params() without return types