code: def _channel_size(self, n_channel):
      # Return the size of the corresponding channels.
      n_proc = self.comm.size
      i_proc = self.comm.rank
      return n_channel // n_proc + (
          1 if i_proc < n_channel % n_proc else 0
      )
  
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 2 for calling the ParallelConvolution2D obj's underlying member method code with example usage: obj._channel_size(n_channel) and returns: unknown