code: def test_invalid_dropout_p(self):
      v = torch.ones(1)
      self.assertRaises(ValueError, lambda: nn.Dropout(-0.1))
      self.assertRaises(ValueError, lambda: nn.Dropout(1.1))
      self.assertRaises(ValueError, lambda: nn.Dropout1d(-0.1))
      self.assertRaises(ValueError, lambda: nn.Dropout1d(1.1))
      self.assertRaises(ValueError, lambda: nn.Dropout2d(-0.1))
      self.assertRaises(ValueError, lambda: nn.Dropout2d(1.1))
      self.assertRaises(ValueError, lambda: nn.Dropout3d(-0.1))
      self.assertRaises(ValueError, lambda: nn.Dropout3d(1.1))
      self.assertRaises(ValueError, lambda: F.dropout(v, -0.1))
      self.assertRaises(ValueError, lambda: F.dropout(v, 1.1))
  
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 TestDropoutNN obj's underlying member method code with example usage: obj.test_invalid_dropout_p() without return types