code: def normalDistributionInit(self, mean, stdDev):
      self.pytorchCPUVar = torch.empty(
          size=(self.total_classes, self.embed_dimension),
          dtype=self.dtype,
          device="cpu",
          pin_memory=True,
      )
      torch.nn.init.normal_(self.pytorchCPUVar, mean=mean, std=stdDev)
  
imports: import torch
  import os
  import numpy
label_desc: Use image node_id 5 for calling the CPUPytorchModelFactory obj's underlying member method code with example usage: obj.normalDistributionInit(mean, stdDev) without return types