code: def create_x(gpu, param, communicator):
      x = chainer.Variable(
          numpy.arange(10).reshape(1, 10).astype(param.dtype) / 10
      )
  
      if gpu:
          x.to_gpu()
  
      return x
  
imports: import functools
  import chainer
  import copy
  from chainer.backends.cuda import cupy
  import chainer.testing
  import chainer.testing.attr
  import numpy
  import pytest
  import chainermn
  from chainer.functions import sigmoid
  from chainer.functions import mean_squared_error
label_desc: Use image node_id 2 for calling a global function with example usage: create_x(gpu, param, communicator) and returns: x