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Previously, we'd just check `has_symbolic_sizes_strides()` to know whether a tensor has symbolic sizes or strides; if does, we skip some profiler logic. But sometimes `has_symbolic_sizes_strides()` returns false, but we do actually have symbolic sizes or strides. So in this change, we add `may_have_symbolic_sizes_strides()` - which should never return false if the tensor has symbolic sizes and strides Why not change `has_symbolic_sizes_strides()`? It seems like there's preexisting logic that assumes that "if has_symbolic_sizes_strides(), then we can assume that this tensor is guaranteed to have symbolic sizes or strides". In this case, we have python-implemented sizes or strides, which should follow a different code path. Differential Revision: [D55947660](https://our.internmc.facebook.com/intern/diff/D55947660/) Pull Request resolved: https://github.com/pytorch/pytorch/pull/123696 Approved by: https://github.com/aaronenyeshi, https://github.com/soulitzer