code: def test_AlphaDropout(self):
      # generate random tensor with zero mean and unit std
      input = torch.randn(5000)
      self._test_alpha_dropout(nn.AlphaDropout, input)
  
imports: from itertools import product
  import unittest
  import random
  import itertools
  import torch
  from torch.testing._internal.common_utils import run_tests, set_default_dtype, instantiate_parametrized_tests, TEST_PRIVATEUSE1
  from torch.testing._internal.common_cuda import TEST_CUDA
  from torch.testing._internal.common_nn import NNTestCase, freeze_rng_state
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, expectedFailureXLA
  import torch.nn.functional
  import torch.nn
label_desc: Use image node_id 2 for calling the TestDropoutNN obj's underlying member method code with example usage: obj.test_AlphaDropout() without return types