code: def test_bool_mask_nobreak(self, device):
      def f(x, b):
          return (x[b] * 2).sum()
  
      opt_f = torch.compile(f, fullgraph=True)
      x = torch.randn(5, device=device)
      b = torch.tensor([True, True, False, False, True], device=device)
      r = f(x, b)
      opt_r = opt_f(x, b)
      self.assertEqual(r, opt_r)
  
imports: import contextlib
  import importlib
  import math
  import os
  import sys
  import unittest
  from functools import partial
  import torch
  import torch._custom_ops
  import torch.library
  from torch._dynamo.testing import make_test_cls_with_patches
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, onlyCPU, onlyCUDA
  from torch.testing._internal.common_utils import IS_CI, IS_WINDOWS, parametrize, TEST_WITH_ASAN, TEST_WITH_ROCM, TestCase
  from torch.testing._internal.inductor_utils import HAS_CPU, HAS_CUDA
  from inductor.test_torchinductor import check_model, check_model_cuda, CommonTemplate, copy_tests, TestFailure
label_desc: Use image node_id 5 for calling the TestInductorDynamic obj's underlying member method code with example usage: obj.test_bool_mask_nobreak(device) and returns: unknown