torch-mlir/lib
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 Format sources. 2020-08-27 14:47:49 -07:00
Conversion [RefE2E] Add support for "max". 2020-09-22 18:38:32 -07:00
Dialect Totally rework RefE2E tensor to memref flow. (#42) 2020-09-16 17:31:40 -07:00
E2E [RefE2E] Add support for "max". 2020-09-22 18:38:32 -07:00
JITRuntime Update docker, instructions and some fixes for the pytorch 1.3 build. (#45) 2020-09-16 21:57:46 -07:00
Python Run clang-format on files that do not comply. 2020-09-15 17:54:58 -07:00
Typing Bump submodule versions. 2020-09-08 13:26:42 -07:00
runtime Totally rework RefE2E tensor to memref flow. (#42) 2020-09-16 17:31:40 -07:00
CMakeLists.txt Bump submodule versions. 2020-09-08 13:26:42 -07:00
InitAll.cpp Run clang-format on files that do not comply. 2020-09-15 17:54:58 -07:00