pytorch

bdee679d - [JIT] Refactor SchemaCheckMode to check for mutated metadata (#79991)

[JIT] Refactor SchemaCheckMode to check for mutated metadata (#79991) - Refactored SchemaCheckMode so that arguments and outputs are only unflattened/unwrapped a single time - Added cloned_metadata variable inside torch_dispatch which accounts for ops that mutate stride or storage()._cdata - Fixed aliasing check to compare with any iterable outputs (ie list of tensor output) - Fixed aliasing check to check ops with an (a -> *) notation argument correctly - Changed order of mutation and aliasing checks to optimize error message usefulness (generally something incorrectly aliasing implies that something is also incorrectly mutating so an aliasing error gives more information) - Added tests for resize_, as_strided to ensure that mutated metadata checking works as intended Pull Request resolved: https://github.com/pytorch/pytorch/pull/79991 Approved by: https://github.com/davidberard98