code: def __init__(self, in_size, ch, out_size, stride=2, groups=1):
      initialW = None
  
      self.conv1 = Convolution2D(
          in_size, ch, 1, stride, 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, out_size, 1, 1, 0, initialW=initialW, nobias=True
      )
      self.bn3 = BatchNormalization(out_size)
      self.conv4 = Convolution2D(
          in_size,
          out_size,
          1,
          stride,
          0,
          initialW=initialW,
          nobias=True,
      )
      self.bn4 = BatchNormalization(out_size)
  
imports: import numpy
  import chainerx
label_desc: Use image node_id 1 to create a new BottleNeckA object from inherited base classes: object with example: obj = BottleNeckA(in_size, ch, out_size, stride, groups)