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 
a = torch.ones(2, 3)
        # Metadata changes are allowed on view tensors that are created from detach().
    @skipIfNotRegistered("LayerNorm", "Skipping as LayerNorm is not registered")
    def test_c10_layer_norm(self):
        # test t
        X = torch.rand(5, 5, d=torch.float)
        weight = torch.rand(*X.size()[1:], d=torch.float)
        bias = torch.rand(*X.size()[1:], d=torch.float)
        epsilon = 1e-4
        expected_norm = torch.nn.functional.layer_norm(
            X, X.size()[1:], weight=weight, bias=bias, eps=epsilon)
        actual_norm, actual_mean, actual_stdev = \
            torch.ops._caffe2.LayerNorm(torch.tensor(X), torch.tensor(
                weight), torch.tensor(bias), 1, epsilon, True)
        torch.testing.assert_close(expected_norm, actual_norm)
    @skipIfTorchInductor("To be ed")
    def test_memory_format(self):