code: def __init__(self, comm, in_channels, out_channels, *args, **kwargs):
      self.comm = comm
      self.in_channels = in_channels
      self.out_channels = out_channels
      super(ParallelConvolution2D, self).__init__(
          self._in_channel_size, self._out_channel_size, *args, **kwargs
      )
  
imports: from __future__ import print_function
  import chainer
  import chainer.functions
  import chainer.links
  import chainermn.functions
  import numpy
label_desc: Use image node_id 1 to create a new ParallelConvolution2D object from inherited base classes: chainer.links with example: obj = ParallelConvolution2D(comm, in_channels, out_channels)