Quinn Dawkins 6f81ad7293 [TorchToLinalg] Improve broadcast lowerings in strict symbolic modes (#2505) ... With strict symbolic shapes, we can assume numpy-style dynamic broadcasts never occur. This improves the lowering in the presence of this assumption.		2023-10-05 15:15:26 -04:00
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basic.mlir	Elide dynamic broadcast checks when in strict symbolic shapes mode. (#2496)	2023-09-29 16:45:48 -07:00
broadcast.mlir	[TorchToLinalg] Improve broadcast lowerings in strict symbolic modes (#2505)	2023-10-05 15:15:26 -04:00
elementwise.mlir	[MLIR][TORCH] Add E2E support for aten.tril op (#2202)	2023-06-05 16:17:01 -07:00
flatten.mlir	Implement Expand/Collapse Functionality for Aten.View (#1353)	2022-09-27 11:08:14 -07:00
pooling.mlir	[Linalg] fix lowering reduce max with -inf (#2097)	2023-05-08 09:17:49 -07:00
unsqueeze.mlir	mlir: bump llvm tag to 5380e3 (#856)	2022-05-16 12:54:35 -07:00
view.mlir	Revert "build: update llvm tag to 147fe9de"	2022-11-25 12:41:56 +05:30