torch-mlir

Commit Graph

Author	SHA1	Message	Date
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	a7ff87a922	Sever C++ level depend on IREE and rebase on exe and python interface. * IREE doesn't have proper install support, so there is some temporary hoaky hacking in our CMakeLists.txt to shuttle some symlinks around. * Reworked the original numpy e2e with IREE test to pipe through iree-translate. * Removed all of the C++-level dependencies. * Will generalize and apply to the PyTorch backend in a followup.	2020-11-16 21:32:56 -08:00
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

Author

SHA1

Message

Date

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

a7ff87a922

Sever C++ level depend on IREE and rebase on exe and python interface.

* IREE doesn't have proper install support, so there is some temporary hoaky hacking in our CMakeLists.txt to shuttle some symlinks around.
* Reworked the original numpy e2e with IREE test to pipe through iree-translate.
* Removed all of the C++-level dependencies.
* Will generalize and apply to the PyTorch backend in a followup.

2020-11-16 21:32:56 -08:00

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

3 Commits (2dbab50444e9c30eabbd3355a47545c0650fd100)