torch-mlir/include/npcomp
Stella Laurenzo b5f010284f Add boilerplate to do device capture (pytorch 1.6).
* Uses the new dispatcher API.
* Just prints to the console for the moment when an op is captured.
* Executes the op through the existing implementation.
2020-09-28 10:30:54 -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 Add boilerplate to do device capture (pytorch 1.6). 2020-09-28 10:30:54 -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