code: def testTranspose(self):
      for dtype in self.numeric_types:
          v = np.arange(4, dtype=np.int32).astype(dtype).reshape([2, 2])
          self._assertOpOutputMatchesExpected(
              lambda x: xla.transpose(x, [1, 0]),
              args=(v,),
              expected=v.T,
          )
  
imports: import functools
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.compiler.tf2xla.ops import gen_xla_ops
  from tensorflow.compiler.tf2xla.python import xla
  from local_xla.xla import xla_data_pb2
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 22 for calling the XlaOpsNumericalTest obj's underlying member method code with example usage: obj.testTranspose() without return types