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3 Commits (699bf5df45e7039acf2effa0e4492313f60fb242)

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
Stella Laurenzo b5f010284f Add boilerplate to do device capture (pytorch 1.6). 
* Uses the new dispatcher API.
* Just prints to the console for the moment when an op is captured.
* Executes the op through the existing implementation.
 2020-09-28 10:30:54 -07:00
Stella Laurenzo 213041449f Move most python sources to the include and lib tree. 2020-06-18 18:02:39 -07:00