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4 Commits (7c788dbfec010df14f4d225491ab209d3ce181ee)

Author SHA1 Message Date
Stella Laurenzo cd44a35177
Bump llvm-project to 5b2e7f50a6798fd9b9c79d9d62fdebcd9e78525b. (#260) 2021-07-29 12:26:54 -07:00
Stella Laurenzo ec611c1e6f
Misc fixes for MacOS. (#255) 
* Change aligned_alloc -> malloc. It can fail (and does on MacOS) and is a bit over-aggressive optimization for a reference backend.
* Fixed a fragile test that prints -0.0 on MacOS.
* Fail the test (not the framework) on failure to trace (Torch on MacOS is missing features).
* Fix .so -> .dylib for compiler runtime.
 2021-07-27 17:48:47 -07:00
Stella Laurenzo 2dbab50444
Rework the python build to a static assembly of MLIR+NPCOMP (#251) 
* Adapt to python build system updates.

* Bump llvm to 310c9496d80961188e8d8f8ad306cdf44bd7541f (includes python build updates)
* Adds refback C-API.
* Re-layers all python builds.
* Rework CI.
 2021-07-27 16:10:10 -07:00
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