code: def _channel_indices(self):
      # Return the indices of the corresponding channel.
      indices = np.arange(self.in_channels)
      indices = indices[indices % self.comm.size == 0] + self.comm.rank
      return [i for i in indices if i < self.in_channels]
  
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 5 for calling the ParallelConvolution2D obj's underlying member method code with example usage: obj._channel_indices() and returns: unknown