code: def det_scaling(self, gpu=False):
      scaling = numpy.random.randn(1).astype(self.dtype)
      if gpu:
          cx = cuda.to_gpu(self.x)
          sx = cuda.to_gpu(scaling * self.x)
      else:
          cx = self.x
          sx = scaling * self.x
      c = float(scaling ** self.x.shape[1])
      cxv = chainer.Variable(cx)
      sxv = chainer.Variable(sx)
      cxd = self.det(cxv)
      sxd = self.det(sxv)
      testing.assert_allclose(
          cxd.data * c, sxd.data, **self.check_forward_options
      )
  
imports: import unittest
  import numpy
  import six
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
  from chainer.utils import type_check
label_desc: Use image node_id 5 for calling the DetFunctionTest obj's underlying member method code with example usage: obj.det_scaling(gpu) without return types