code: def _init_w(l):
      return 1.0 * numpy.arange(100).reshape(10, 10) / ((l + 1) * 100)
  
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 4 for calling a global function with example usage: _init_w(l) and returns: unknown