code: def __init__(
      self, inplanes, squeeze_planes, expand1x1_planes, expand3x3_planes
  ):
      super(Fire, self).__init__()
      self.inplanes = inplanes
      self.squeeze = nn.Conv2d(inplanes, squeeze_planes, kernel_size=1)
      self.squeeze_activation = nn.ReLU(inplace=True)
      self.expand1x1 = nn.Conv2d(
          squeeze_planes, expand1x1_planes, kernel_size=1
      )
      self.expand1x1_activation = nn.ReLU(inplace=True)
      self.expand3x3 = nn.Conv2d(
          squeeze_planes, expand3x3_planes, kernel_size=3, padding=1
      )
      self.expand3x3_activation = nn.ReLU(inplace=True)
  
file_path: robustness/robustness/imagenet_models/squeezenet.py
imports: import torch
  import torch.nn
  import torch.nn.init
  from torch.hub import load_state_dict_from_url
  from ..tools.custom_modules import FakeReLUM
label_desc: Use image node_id 1 to create a new Fire object from inherited base classes: nn with example: obj = Fire(inplanes, squeeze_planes, expand1x1_planes, expand3x3_planes)