code: def _compare(self, x, use_gpu=False):
      n = np.ndim(x)
      # generate all permutations of [0, 1, ... n-1] in random order.
      all_perm = np.random.permutation(
          [p for p in itertools.permutations(range(n))]
      ).astype(np.int32)
      cs = (
          [False, True]
          if x.dtype in [np.complex64, np.complex128]
          else [False]
      )
      for c in cs:
          for p in all_perm[:2]:
              self._compareCpu(x, p, conjugate=c)
              if use_gpu:
                  self._compareGpu(x, p, conjugate=c)
      # Test with an empty permutation
      for c in cs:
          self._compareCpu(x, None, conjugate=c)
          if use_gpu:
              self._compareGpu(x, None, conjugate=c)
  
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 4 for calling the TransposeTest obj's underlying member method code with example usage: obj._compare(x, use_gpu) without return types