code: def forward(self, x):
      identity = x
      x = self.conv0(x)
      x = self.conv1(x)
      x = self.conv2(x)
  
      if self.shortcut:
          short = identity
      else:
          short = self.short(identity)
      x = paddle.add(x=x, y=short)
      x = self.relu(x)
      return x
  
imports: import math
  import paddle
  from paddle import ParamAttr
  import paddle.nn
  from paddle.nn import Conv2D, BatchNorm, Linear
  from paddle.nn import AdaptiveAvgPool2D, MaxPool2D, AvgPool2D
  from paddle.nn.initializer import Uniform, Constant, KaimingNormal
label_desc: Use image node_id 2 for calling the BottleneckBlock obj's underlying member method code with example usage: obj.forward(x) and returns: x