code: def testTranspose2DAuto(self):
      x_np = [[1, 2, 3], [4, 5, 6]]
      for use_gpu in [False, True]:
          with self.subTest(use_gpu=use_gpu):
              with self.cached_session(use_gpu=use_gpu):
                  x_tf = array_ops.transpose(x_np)
                  self.assertAllEqual(x_tf, [[1, 4], [2, 5], [3, 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 27 for calling the TransposeTest obj's underlying member method code with example usage: obj.testTranspose2DAuto() without return types