class_docstr: Shared RNN model.
class_docstr_tok: ["Shared","RNN","model","."]
code: def reset_parameters(self):
      init_range = 0.025 if self.args.mode == "train" else 0.04
      for param in self.parameters():
          param.data.uniform_(-init_range, init_range)
      self.decoder.bias.data.fill_(0)
  
imports: import numpy
  import collections
  import torch
  from torch import nn
  import torch.nn.functional
  from torch.autograd import Variable
  import models.shared_base
  import utils
label_desc: Use image node_id 7 for calling the RNN obj's underlying member method code with example usage: obj.reset_parameters() without return types