code: def test_native_dropout_corner_case(self):
      if TEST_CUDA:
          device = "cuda"
      elif TEST_PRIVATEUSE1:
          device = torch._C._get_privateuse1_backend_name()
      for train in [True, False]:
          for p in [0.0, 1.0]:
              for current_device in [device, "cpu"]:
                  x = (
                      torch.randn(5)
                      .to(device=current_device)
                      .requires_grad_()
                  )
                  x_ref = x.detach().requires_grad_()
                  o = torch.native_dropout(x, p, train)[0]
                  o_ref = torch.dropout(x_ref, p, train)
                  o.sum().backward()
                  o_ref.sum().backward()
                  assert o.equal(o_ref)
                  assert x.grad.equal(x_ref.grad)
  
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 4 for calling the TestDropoutNN obj's underlying member method code with example usage: obj.test_native_dropout_corner_case() without return types