pytorch

25d33a2e - [JIT] Use Type Level Granularity in Alias Analysis Wildcards (#32251)

[JIT] Use Type Level Granularity in Alias Analysis Wildcards (#32251) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/32251 Previously wildcard sets were associated by TypeKind, meaning all Lists were in one alias set, all Classes were in one alias set, etc. We can improve analysis by bucketing wildcard sets by TypePtr instead. Any two mutable types which can unify should be in the same wildcard set bucket. This also allows us do much simpler `mayContainAlias` analysis, and also improves `analyzeConservative` analysis because now we can recurse through all contained memory locations and mark writes, instead of just recursing only level deep in contained elements. Test Plan: Imported from OSS Differential Revision: D19563263 Pulled By: eellison fbshipit-source-id: 371a37d1a8596abc6c53f41c09840b6c140ea362