torch-mlir/lib/E2E/TensorToMemref
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
..
LowerConstantTensorsToMemref.cpp Inject missing dialects in E2E passes 2020-09-22 08:52:23 +02:00
LowerShapedResultsToMemref.cpp [RefE2E] Add support for "max". 2020-09-22 18:38:32 -07:00
LowerStdToMemref.cpp Inject missing dialects in E2E passes 2020-09-22 08:52:23 +02:00
LowerStructuralToMemref.cpp [RefE2E] Add interesting control flow example. 2020-09-21 12:25:24 -07:00