code: def setUp(self):
      if self.batched:
          while True:
              x = numpy.random.uniform(0.5, 1, (6, 3, 3)).astype(
                  numpy.float32
              )
              # Avoid backward/double_backward instability.
              if not numpy.any(
                  numpy.isclose(
                      numpy.linalg.det(x), 0, atol=1e-2, rtol=1e-2
                  )
              ):
                  self.x = x.astype(self.dtype, copy=False)
                  break
          self.y = numpy.random.uniform(0.5, 1, (6, 3, 3)).astype(
              self.dtype
          )
          self.gy = numpy.random.uniform(-1, 1, (6,)).astype(self.dtype)
          self.ggx = numpy.random.uniform(0.5, 1, (6, 3, 3)).astype(
              self.dtype
          )
          self.ct = self.x.transpose(0, 2, 1)
          self.det = F.batch_det
          self.matmul = F.matmul
      else:
          while True:
              x = numpy.random.uniform(0.5, 1, (5, 5)).astype(
                  numpy.float32
              )
              if not numpy.isclose(
                  numpy.linalg.det(x), 0, atol=1e-2, rtol=1e-2
              ):
                  self.x = x.astype(self.dtype, copy=False)
                  break
          self.y = numpy.random.uniform(0.5, 1, (5, 5)).astype(
              self.dtype
          )
          self.gy = numpy.random.uniform(-1, 1, ()).astype(self.dtype)
          self.ggx = numpy.random.uniform(0.5, 1, (5, 5)).astype(
              self.dtype
          )
          self.ct = self.x.transpose()
          self.det = F.det
          self.matmul = F.matmul
  
      if self.dtype == numpy.float16:
          self.check_forward_options = {"atol": 5e-3, "rtol": 5e-3}
          self.check_backward_options = {
              "dtype": numpy.float64,
              "atol": 5e-3,
              "rtol": 1e-3,
          }
          self.check_double_backward_options = {
              "dtype": numpy.float64,
              "atol": 1e-2,
              "rtol": 1e-2,
          }
      else:
          self.check_forward_options = {}
          self.check_backward_options = {"atol": 5e-3, "rtol": 1e-3}
          self.check_double_backward_options = {
              "atol": 1e-2,
              "rtol": 1e-2,
          }
  
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 1 for calling the DetFunctionTest obj's underlying member method code with example usage: obj.setUp() without return types