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torch-mlir
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6 Commits (a29ef9adc810c39441f75b631ad38a715fc317f6)

Author SHA1 Message Date
Stella Laurenzo 3e58d8fe37 Add skeleton of type inference pass. 2020-06-10 14:48:22 -07:00
Stella Laurenzo 432e01fe8f Move Basicpy and Numpy dialect IR to IR/ folder. 2020-06-09 19:22:24 -07:00
Stella Laurenzo 60f132b26f Add pass registrations and a simple compilation example from python. 
* Got side-tracked hunting down a vague-linkage RTTI issue due to not anchoring key methods in PassOptions.h to a module.
* Took the path of least resistance and just added the option to build LLVM with RTTI. I know how to fix this but would like to do some broader upstream fixes versus just hunting/pecking/working around in this project.
 2020-06-03 23:58:58 -07:00
Sean Silva 7b9f0c3364 Add ability to run without optimizations. 
The default is to only do the bare minimum needed for correctness, since
that stresses the layering of the system maximally.
 2020-06-01 19:33:59 -07:00
Sean Silva e8b1a07ef4 Initial NpcompRt (npcomp_rt) dialect boilerplate. 2020-06-01 19:07:53 -07:00
Sean Silva 927a831c1e Move npcomp registration to helpers. 
This adds:
- mlir::NPCOMP::registerAllDialects()
- mlir::NPCOMP::registerAllPasses()
 2020-05-21 16:35:53 -07:00