code: def __init__(self, survival_prob: float):
      super().__init__()
      self.survival_prob = survival_prob
      self.register_buffer("mask", torch.ones(()), persistent=False)
  
imports: import copy
  from collections import OrderedDict
  from dataclasses import dataclass
  from typing import Optional
  import torch
  import warnings
  from torch import nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new StochasticDepthResidual object from inherited base classes: nn with example: obj = StochasticDepthResidual(survival_prob)