docstr: Necessary to implement for `HybridEngineContainer`
docstr_tok: ["Necessary","to","implement","for","`","HybridEngineContainer","`"]
code: def get_lora_matched_pair(self):
      """
      Necessary to implement for `HybridEngineContainer`
      """
      fc1_lora, fc2_lora, qkv_lora, out_lora = self.get_lora_params()
      ret = [
          (fc1_lora, self._h4h_w),
          (fc2_lora, self._4hh_w),
          (qkv_lora, self.qkvw),
          (out_lora, self.dense_w),
      ]
      return ret
  
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 3 for calling the DS_GPTNEOXContainer obj's underlying member method code with example usage: obj.get_lora_matched_pair() and returns: ret