code: def get_dropout_mask_(self, size, p):
      w = self.weight.data
      return w.new(*size).bernoulli_(1 - p).div_(1 - p)
  
imports: import subprocess
  import platform
  import os
  import re
  import configargparse
  import torch
  import torch.nn
  from torch.autograd import Function
  from torch.cuda.amp import custom_fwd, custom_bwd
  from collections import namedtuple
label_desc: Use image node_id 5 for calling the SRUCell obj's underlying member method code with example usage: obj.get_dropout_mask_(size, p) and returns: w