code: def beforeForwardPass(
      self, retrievedPosIndexes, retrievedNegIndexes=None
  ):
      reshapedRetrieval = self._getReshapedRetrieval(
          retrievedPosIndexes, retrievedNegIndexes
      )
  
      for idx, optVar in enumerate(self.optVarList):
          self.given_optimizer.state_dict()["state"][self.optimizerKey][
              optVar
          ] = from_dlpack(
              self.CUPYmemmap[idx][reshapedRetrieval].toDlpack()
          )
  
imports: import numpy
  import cupy
  import torch
  import os
  from torch.utils.dlpack import to_dlpack
  from torch.utils.dlpack import from_dlpack
label_desc: Use image node_id 4 for calling the OptimizerFactoryMM obj's underlying member method code with example usage: obj.beforeForwardPass(retrievedPosIndexes, retrievedNegIndexes) without return types