code: def det_transpose(self, gpu=False):
      if gpu:
          cx = cuda.to_gpu(self.x)
          ct = cuda.to_gpu(self.ct)
      else:
          cx = self.x
          ct = self.ct
      xn = chainer.Variable(cx)
      xt = chainer.Variable(ct)
      yn = self.det(xn)
      yt = self.det(xt)
      testing.assert_allclose(yn.data, yt.data, rtol=1e-4, atol=1)
  
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 2 for calling the DetFunctionTest obj's underlying member method code with example usage: obj.det_transpose(gpu) without return types