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 
def get_generator(memory_format, shape):
            def input_generator_fn(d):
                return torch.randn(shape, d=d, d=torch.float32).contiguous(memory_format=memory_format)
            return input_generator_fn
        def transformation_fn(tensor, **kwargs):
            return tensor.to(torch.float64, **kwargs)
        formats_shapes = (
            (torch.channels_last, (4, 3, 8, 8)),
            (torch.channels_last_3d, (4, 3, 8, 8, 8)))
        for mf, shape in formats_shapes:
            self._test_memory_format_transformations(
                d, get_generator(mf, shape), transformation_fn, mf, default_is_preserve=True)
    @skipIfTorchInductor("To be ed")
    def test_memory_format_clone(self, d):
        def get_generator(memory_format, shape):
            def input_generator_fn(d):
                return torch.randn(shape, d=d, d=torch.float32).contiguous(memory_format=memory_format)
            return input_generator_fn
        def transformation_fn(tensor, **kwargs):
            return tensor.clone(**kwargs)
        formats_shapes = (
            (torch.channels_last, (4, 3, 8, 8)),
            (torch.channels_last_3d, (4, 3, 8, 8, 8)))
        for mf, shape in formats_shapes:
            self._test_memory_format_transformations(
                d, get_generator(mf, shape), transformation_fn, mf, True, default_is_preserve=True)
    @skipIfTorchInductor("To be ed")
    def test_memory_format_factory_like_functions_preserve(self, d):
        def get_generator(memory_format, shape):