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 
lambda: module(input, indices),
            'max_unpooling2d_forward_out')
    @ds(*floating_s_and(torch.half))
    @onlyNatDTypes
    def test_nondeterministic_alert_MaxUnpool2d(self, d, d):
        if d == torch.half and torch.d(d). == 'cpu':
            self.skipTest('float16 not implemented on CPU')
        module = torch.nn.MaxUnpool2d(3, 1)
        input = torch.randn(1, 1, 7, 7, d=d, d=d)
        indices = torch.zeros_like(input, d=torch.long, d=d)
        self.check_nondeterministic_alert(
            lambda: module(input, indices),
            'max_unpooling2d_forward_out')
    @ds(*floating_s_and(torch.half))
    @onlyNatDTypes
    def test_nondeterministic_alert_MaxUnpool3d(self, d, d):
        if d == torch.half and torch.d(d). == 'cpu':
            self.skipTest('float16 not implemented on CPU')
        module = torch.nn.MaxUnpool3d(3, 1)
        input = torch.randn(1, 1, 7, 7, 7, d=d, d=d)
        indices = torch.zeros_like(input, d=torch.long, d=d)
        self.check_nondeterministic_alert(
            lambda: module(input, indices),
            'max_unpooling3d_forward_out')
    @skipIfMps
    @skipIfTorchInductor("aot-autograd issue")
    def test_nondeterministic_alert_interpolate_linear(self, d):
        input = torch.randn(1, 2, 4, d=d, requires_grad=True)
        res = torch.nn.functional.interpolate(
            input,