code: def kxs_iter(x, outs, ksize, stride, pad):
      return itertools.product(
          *[
              range(max(0, -p + s * _x), min(-p + s * _x + k, out))
              for (_x, out, k, s, p) in zip(x, outs, ksize, stride, pad)
          ]
      )
  
imports: import itertools
  import unittest
  import numpy
  import six
  import chainer
  from chainer import backend
  from chainer import functions
  from chainer import testing
  from chainer.utils import conv
  from chainer.utils import type_check
label_desc: Use image node_id 2 for calling a global function with example usage: kxs_iter(x, outs, ksize, stride, pad) and returns: itertools