code: def _test_dropoutNd_no_batch(self, dropout, input):
      input_clone = input.clone()
      with freeze_rng_state():
          res_no_batch = dropout(input)
  
      with freeze_rng_state():
          res_batched = dropout(input_clone.unsqueeze(0)).squeeze(0)
  
      self.assertEqual(res_no_batch, res_batched)
  
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 5 for calling the TestDropoutNNDeviceType obj's underlying member method code with example usage: obj._test_dropoutNd_no_batch(dropout, input) without return types