code: def test_Dropout(self, device):
      input = torch.empty(1000)
      self._test_dropout(nn.Dropout, device, input)
  
      self._test_dropout_discontiguous(nn.Dropout, device)
      self._test_dropout_discontiguous(
          nn.Dropout, device, memory_format=torch.channels_last
      )
  
      self._test_dropout_stride_mean_preserve(nn.Dropout, device)
  
      if self.device_type == "cuda" or self.device_type == "cpu":
          input = input.bfloat16()
          self._test_dropout(nn.Dropout, device, 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 4 for calling the TestDropoutNNDeviceType obj's underlying member method code with example usage: obj.test_Dropout(device) without return types