code: def test_empty_dropout(self, device):
      x = torch.tensor([]).to(device)
      out = torch.nn.functional.dropout(x)
      self.assertEqual(out.size(), x.size())
  
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 10 for calling the TestDropoutNNDeviceType obj's underlying member method code with example usage: obj.test_empty_dropout(device) without return types