code: def test_slice_index_changing_sign(self, device):
      def fn(x, y):
          y0, y1 = y.shape
          return x[: (y0 - y1)].clone()
  
      a = torch.randn(32, 32, device=device)
      cfn = self.compile_fn(fn)
  
      # y0 > y1 -> y0 - y1 is positive
      b = torch.randn(16, 2, device=device)
      expect = fn(a, b)
      actual = cfn(a, b)
      self.assertEqual(expect, actual)
  
      # y0 < y1 -> y0 - y1 is negative
      b = torch.randn(2, 16, device=device)
      expect = fn(a, b)
      actual = cfn(a, b)
      self.assertEqual(expect, actual)
  
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 20 for calling the TestInductorDynamic obj's underlying member method code with example usage: obj.test_slice_index_changing_sign(device) and returns: x