Commit Graph

7 Commits (85898aaf10ea30237ee1d66c977b966cf7fcf6d0)

Author SHA1 Message Date
Stella Laurenzo b4c7ae1e0c Repurpose numpy-compiler compiler/runtime flow for PyTorch.
* A bit gross because I took the chance to upgrade all of the backend bits to the new MLIR Python bindings and we still co-mingle the old and new for now.
* Since the Python created PassManagers are configured for explicit nesting, I had to upgrade some of the pass pipelines to be explicit.
* The demo in mul_maximum_e2e.py now compiles, runs through PyTorch and through the JIT, prints and asserts the same results.
* I am not claiming that this is the prettiest API in this patch: consider that this is just directly using low-level APIs and there should be an intervening high level API.
2020-11-11 10:38:13 -08:00
Sean Silva 631c8070df [RefBackend] Put JITModule in refback namsepace. 2020-10-08 09:07:00 -07:00
Sean Silva bf99a82832 [RefBackend] Rename Npcomprt dialect to Refbackrt. 2020-10-08 09:07:00 -07:00
Sean Silva 83ad70ef54 [RefBackend] Move runtime related code under npcomp/RefBackend/
Other than the dialect definitions (which will live in standard Dialect/
subdirectory), the goal here is to keep RefBackend-related code nested
in {include/npcomp,lib,test}/RefBackend.
2020-10-08 09:07:00 -07:00
Stella Laurenzo fc4f374345 Format sources. 2020-08-27 14:47:49 -07:00
Stella Laurenzo 9e4a62fc71 Allow JITModule passes to be built separately.
* Re-introduces frontent/backend split.
* Adds a (very) trivial shape refinement pass.
2020-07-10 22:57:26 -07:00
Stella Laurenzo aea05d68d7 Initial python plumbing to interface with the refjit backend. 2020-07-10 22:57:26 -07:00