code: def reset_parameters(self):
      nn.Embedding.reset_parameters(self)
      if hasattr(self, "lora_A"):
          # initialize A the same way as the default
          # for nn.Linear and B to zero
          nn.init.zeros_(self.lora_A)
          nn.init.normal_(self.lora_B)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import math
  from torch.utils.checkpoint import checkpoint
  from typing import Dict
  import os
label_desc: Use image node_id 2 for calling the Embedding obj's underlying member method code with example usage: obj.reset_parameters() without return types