code: def reset_parameters(self):
      stdv = 1.0 / math.sqrt(self.hidden_size)
      for weight in self.parameters():
          weight.data.uniform_(-stdv, stdv)
  
imports: import math
  import torch
  import warnings
  import itertools
  import numbers
  from torch import nn
  from torch.nn import Parameter
  from torch.nn.utils.rnn import PackedSequence
  from lightseq.training.pytorch_quantization import tensor_quant
  from lightseq.training.pytorch_quantization.nn._functions import quant_rnn
  from .None import _utils
label_desc: Use image node_id 4 for calling the QuantRNNBase obj's underlying member method code with example usage: obj.reset_parameters() without return types