torch-mlir/include/npcomp
Sean Silva 16c26ef57e [RefE2E] Use upstream shape constraint conversion pass.
Now that we upstreamed our pass, we can remove it.
The final pass that landed upstream doesn't do the shape.assuming
canonicalization to legalize that op away, so added a
restricted-canonicalizer pass that allowed to run just shape dialect
canonicalizations, which deletes the shape.assuming.
The pass ended up kind of ugly. See the TODO's on it for some potential
cleaner directions.
2020-09-28 09:34:44 -07:00
..
Backend Initial python plumbing to interface with the refjit backend. 2020-07-10 22:57:26 -07:00
Conversion [RefE2E] Refactor how tcf.add is lowered. 2020-09-18 15:03:53 -07:00
Dialect Bump llvm-project to 9ed1e5873c19eb817fb9e36d0262c7effee5d35e 2020-09-28 09:34:44 -07:00
E2E [RefE2E] Use upstream shape constraint conversion pass. 2020-09-28 09:34:44 -07:00
JITRuntime Add -optimize flag to npcomp-run-mlir so that it runs optimizations. 2020-07-13 16:07:44 -07:00
Python Bump submodule versions. 2020-09-08 13:26:42 -07:00
Typing Bump submodule versions. 2020-09-08 13:26:42 -07:00
runtime Rework e2e flow to use new "npcomprt" 2020-07-08 19:36:19 -07:00
CMakeLists.txt Introduce a type interface for mapping to CPA types. 2020-07-02 13:56:27 -07:00
InitAll.h Bump submodule versions. 2020-09-08 13:26:42 -07:00