code: def __init__(self, inplanes, planes, stride=1, downsample=None):
      super(Bottleneck, self).__init__()
      self.conv1 = layer.Conv2d(inplanes, planes, 1, bias=False)
      self.bn1 = layer.BatchNorm2d(planes)
      self.relu1 = layer.ReLU()
      self.conv2 = layer.Conv2d(
          planes, planes, 3, stride=stride, padding=1, bias=False
      )
      self.bn2 = layer.BatchNorm2d(planes)
      self.relu2 = layer.ReLU()
      self.conv3 = layer.Conv2d(
          planes, planes * self.expansion, 1, bias=False
      )
      self.bn3 = layer.BatchNorm2d(planes * self.expansion)
  
      self.add = layer.Add()
      self.relu3 = layer.ReLU()
  
      self.downsample = downsample
      self.stride = stride
  
imports: from singa import layer
  from singa import model
label_desc: Use image node_id 1 to create a new Bottleneck object from inherited base classes: layer with example: obj = Bottleneck(inplanes, planes, stride, downsample)