code: def normalDistributionInit(self, mean, stdDev):
      if self.CPUPinn == True:
          cupy.cuda.set_allocator(my_pinned_allocator)
      self.CUPYcorpus = cupy.random.normal(
          loc=mean,
          scale=stdDev,
          size=(self.total_classes, self.embed_dimension),
          dtype=self.datatype,
      )
      if self.CPUPinn == True:
          cupy.cuda.set_allocator(None)
  
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 ModelFactory obj's underlying member method code with example usage: obj.normalDistributionInit(mean, stdDev) without return types