torch-mlir/include/npcomp
Sean Silva c69e9fabc5 [RefE2E] Add support for "max".
This cleans up the lowering pipeline to easily allow extending to
multiple binary ops. It looks fairly repetitive at multiple levels, but
I don't want to prematurely generalize. I think that in principle we
could derive a large swatch of TCF + TCP from a single linalg-style
specification. Another direction is to use an OpInterface (something
like "buildLinalgGenericBody"). I'm keeping my eye on it.

In a subsequent commit, I'll mechanically add a set of binary ops
modeled off of the std arithmetic ops.
2020-09-22 18:38:32 -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 [RefE2E] Add support for "max". 2020-09-22 18:38:32 -07:00
E2E Totally rework RefE2E tensor to memref flow. (#42) 2020-09-16 17:31:40 -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