[JIT] Represent profiled types as a node attribute (#43035)
Summary:
This changes profiled types from being represented as:
`%23 : Float(4:256, 256:1, requires_grad=0, device=cpu) = prim::profile(%0)`
->
`%23 : Tensor = prim::profile[profiled_type=Float(4:256, 256:1, requires_grad=0, device=cpu)](%0)`
Previously, by representing the profiled type in the IR directly it was very easy for optimizations to accidentally use profiled types without inserting the proper guards that would ensure that the specialized type would be seen.
It would be a nice follow up to extend this to prim::Guard as well, however we have short term plans to get rid of prim::Guard.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/43035
Reviewed By: ZolotukhinM
Differential Revision: D23120226
Pulled By: eellison
fbshipit-source-id: c78d7904edf314dd65d1a343f2c3a947cb721b32
