class_docstr: This class tests all functions of the ArithmeticSharedTensor.
code: def test_pad(self) -> None:
      sizes = [(1,), (5,), (1, 1), (5, 5), (5, 5, 5), (5, 3, 32, 32)]
      pads = [
          (0, 0, 0, 0),
          (1, 0, 0, 0),
          (0, 1, 0, 0),
          (0, 0, 1, 0),
          (0, 0, 0, 1),
          (1, 1, 1, 1),
          (2, 2, 1, 1),
          (2, 2, 2, 2),
      ]
  
      for size in sizes:
          tensor = get_random_test_tensor(size=size, is_float=True)
          encrypted_tensor = ArithmeticSharedTensor(tensor)
  
          for pad in pads:
              for value in [0, 1, 10]:
                  for tensor_type in [
                      lambda x: x,
                      ArithmeticSharedTensor,
                  ]:
                      if tensor.dim() < 2:
                          pad = pad[:2]
                      reference = torch.nn.functional.pad(
                          tensor, pad, value=value
                      )
                      encrypted_value = tensor_type(value)
                      encrypted_out = encrypted_tensor.pad(
                          pad, value=encrypted_value
                      )
                      self._check(
                          encrypted_out, reference, "pad 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 30 for calling the TestArithmetic obj's underlying member method code with example usage: obj.test_pad() without return types