code: def _compare_cpu_gpu(self, x):
      n = np.ndim(x)
      # generate all permutation of [0, 1, ... n-1] in random order,
      # choose the first two.
      perms = itertools.permutations(range(n))
      for _ in range(2):
          p = (
              np.random.permutation(next(perms)).astype(np.int32)
              if n > 1
              else None
          )
          tf_a_cpu, tf_g_cpu = self._compareCpu(x, p)
          tf_a_gpu, tf_g_gpu = self._compareGpu(x, p)
          assert tf_g_cpu is not None
          assert tf_g_gpu is not None
          if x.dtype == np.float32:
              self.assertAllClose(tf_a_cpu, tf_a_gpu, 1e-3, 1e-3)
              self.assertAllClose(tf_g_cpu, tf_g_gpu, 1e-3, 1e-3)
          elif x.dtype == np.float64:
              self.assertAllClose(tf_a_cpu, tf_a_gpu, 1e-6, 1e-6)
              self.assertAllClose(tf_g_cpu, tf_g_gpu, 1e-6, 1e-6)
  
imports: import itertools
  import numpy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the TransposeTest obj's underlying member method code with example usage: obj._compare_cpu_gpu(x) without return types