Platforms: linux

This test was disabled because it is failing on master ([recent examples](http://torch-ci.com/failure/test_torch.py%3A%3ATestTorch%3A%3Atest_equal)).

The cause seems to point to https://github.com/pytorch/pytorch/pull/100024 (or D45282119 as it was landed internally)

cc @mruberry @houseroad @ezyang 
torch.d(d). == 'cuda')
    @skipIfTorchInductor("aot-autograd issue")
    def test_nondeterministic_alert_CTCLoss(self, d):
        module = torch.nn.CTCLoss()
        input = torch.randn(50, 3, 15, d=d, requires_grad=True)
        target = torch.randint(0, 14, (3, 30), d=d)
        input_lengths = [50, 50, 50]
        target_lengths = [30, 25, 20]
        res = module(input, target, input_lengths, target_lengths)
        grad = torch.ones_like(res)
        self.check_nondeterministic_alert(
            lambda: res.backward(grad, retain_graph=True),
            'ctc_loss_backward_gpu',
            torch.d(d). == 'cuda')
    @skipIfTorchInductor("aot-autograd issue")
    def test_nondeterministic_alert_EmbeddingBag_max(self, d):
        module = torch.nn.EmbeddingBag(
            4, 3, None, 2., False, 'max',
            _weight=torch.randn(4, 3, d=d, requires_grad=True))
        input = torch.randint(0, 3, (4, 3), d=d)
        res = module(input)
        grad = torch.ones_like(res)
        self.check_nondeterministic_alert(
            lambda: res.backward(grad, retain_graph=True),
            'embedding_bag_backward_cuda_max',
            torch.d(d). == 'cuda')
    @ds(*all_s_and_complex_and(torch.bool))
    @skipIfTorchInductor("aot-autograd issue")
    def test_nondeterministic_alert_cumsum(self, d, d):
        input = make_tensor((10,), d=d, d=d, low=-9, high=9)