torch-mlir

Author	SHA1	Message	Date
Sean Silva	c424c24ed8	Bump llvm-project to c68d2895a1f4019b387c69d1e5eec31b0eb5e7b0 - dialect registration - StringAttr::get: order of context arg - math dialect - LogicalResult nodiscard - error message for invalid broadcast	2021-02-22 12:23:24 -08:00
Sean Silva	32388d938b	Make some passes run on FuncOp so they can run in parallel.	2020-11-13 16:12:18 -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
Sean Silva	0427aacb0b	[TCP] Replace elementwise ops with std elementwise ops.	2020-11-10 18:58:28 -08:00