code: def __init__(self, in_size, ch, groups=1):
      initialW = None
  
      self.conv1 = Convolution2D(
          in_size, ch, 1, 1, 0, initialW=initialW, nobias=True
      )
      self.bn1 = BatchNormalization(ch)
      self.conv2 = Convolution2D(
          ch, ch, 3, 1, 1, initialW=initialW, nobias=True, groups=groups
      )
      self.bn2 = BatchNormalization(ch)
      self.conv3 = Convolution2D(
          ch, in_size, 1, 1, 0, initialW=initialW, nobias=True
      )
      self.bn3 = BatchNormalization(in_size)
  
imports: import numpy
  import chainerx
label_desc: Use image node_id 1 to create a new BottleNeckB object from inherited base classes: object with example: obj = BottleNeckB(in_size, ch, groups)