code: def _preInit(self):
      for optVar in self.optVarList:
          fileNumber = 0
          while (
              os.path.isfile(
                  self.diskname + str(fileNumber) + ".memmap.cpy.npy"
              )
              == True
          ):
              fileNumber = fileNumber + 1
          else:
              self.fileName = (
                  self.diskname + str(fileNumber) + ".memmap"
              )
          numpyMemmap = np.memmap(
              self.fileName + optVar,
              dtype="float32",
              mode="w+",
              shape=(self.total_classes, self.embed_dimension),
          )
          np.save(
              self.fileName + optVar + ".cpy",
              numpyMemmap,
              allow_pickle=True,
          )
          del numpyMemmap
          os.remove(self.fileName + optVar)
  
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 2 for calling the OptimizerFactoryMM obj's underlying member method code with example usage: obj._preInit() without return types