class_docstr: This class tests all functions of the ArithmeticSharedTensor.
code: def test_transpose(self) -> None:
      sizes = [
          (1,),
          (5,),
          (1, 1),
          (1, 5),
          (5, 1),
          (5, 5),
          (1, 5, 5),
          (5, 1, 5),
          (5, 5, 1),
          (5, 5, 5),
          (1, 3, 32, 32),
          (5, 3, 32, 32),
      ]
      for size in sizes:
          tensor = get_random_test_tensor(size=size, is_float=True)
          encrypted_tensor = ArithmeticSharedTensor(tensor)
  
          if len(size) == 2:  # t() asserts dim == 2
              reference = tensor.t()
              encrypted_out = encrypted_tensor.t()
              self._check(encrypted_out, reference, "t() failed")
  
          for dim0 in range(len(size)):
              for dim1 in range(len(size)):
                  reference = tensor.transpose(dim0, dim1)
                  encrypted_out = encrypted_tensor.transpose(dim0, dim1)
                  self._check(
                      encrypted_out, reference, "transpose failed"
                  )
  
imports: import itertools
  import logging
  import unittest
  import crypten
  import crypten.communicator
  import torch
  import torch.nn.functional
  from crypten.common.rng import generate_random_ring_element
  from crypten.common.tensor_types import is_float_tensor
  from crypten.common.util import count_wraps
  from crypten.mpc.primitives import ArithmeticSharedTensor
  from test.multiprocess_test_case import get_random_test_tensor, MultiProcessTestCase
label_desc: Use image node_id 15 for calling the TestArithmetic obj's underlying member method code with example usage: obj.test_transpose() without return types