As described in mlir/Transforms/Bufferize.h, patterns that don't need the special methods on a BufferizeTypeConverter should use a regular OpConversionPattern.
PiperOrigin-RevId: 338424819
The fusion heuristic identifies the root of a fusion by checking whether an
output of a linalg operation is a function result. It did not consider outputs
flowing through aliasing operations (like casts).
PiperOrigin-RevId: 337479910
Legalize `atan2` analogously to XLA. `atan2` is first reduced to `atan` on the
interval [-1, 1] and subsequently approximated. This CL also adds e2e tests for
trigonometric approximations.
PiperOrigin-RevId: 334794336
- And add conversion from MHLO CustomCall to LHLO CustomCall
- According to XLA documentation, the called function should not be side effecting,
so marking the argument MemRefs as MemRead.
PiperOrigin-RevId: 334737196
A non globally registered pass should define `getName()` in order to generate correct crash reproducers.
This is something we get "for free" when using the TableGen generated base class.
We should also migrate the other passes to the same mechanism and remove the static
global registration.
PiperOrigin-RevId: 332976907
When transforming unranked binary operations from CHLO to HLO, we insert `shape.broadcast` operations. Due to context, we know that the result of the `shape.broadcast` operation has a static shape. Instead of modelling this in the type of the broadcast operation itself, which is illegal, we now use an explicit cast.
PiperOrigin-RevId: 331989879
Add `tan` op and lowering to CHLO dialect, move CHLO lowerings to
`chlo_legalize_to_hlo_patterns` and extend missing patterns.
PiperOrigin-RevId: 331506094
Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/43137
This PR removes lhlo-copy-removal pass entirely and replace its usages with ```mlir::createCopyRemovalPass()```.
--
7ce1a06f507c8db46c6d7b43c7870cf56002e18e by Ehsan Toosi <ehsan.nadjaran_toosi@dfki.de>:
[mlir][lhlo] Replace lhlo-copy-removal pass with mlir-copy-removal pass
COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/43137 from dfki-ehna:using_mlir_copy_removal 7ce1a06f507c8db46c6d7b43c7870cf56002e18e
PiperOrigin-RevId: 331498501
Add `tan` op and lowering to CHLO dialect, move CHLO lowerings to
`chlo_legalize_to_hlo_patterns` and extend missing patterns.
PiperOrigin-RevId: 331128170
Add `tan` op and lowering to CHLO dialect, move CHLO lowerings to
`chlo_legalize_to_hlo_patterns` and extend missing patterns.
PiperOrigin-RevId: 331125286
Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/43069
The legalization of mlhlo.ReturnOp to lhlo.TerminatorOp by using BufferAssignmentReturnOpConverter fails since the Memref typed results (or the Memref typed operands of Return operation) are set to stay as results after legalization but lhlo.TerminatorOp doesn't accept any operands. Therefore, BufferAssignmentReturnOpConverter must be replaced with a manual conversion that removes all operands of mlhlo.ReturnOp and inserts copy operations in their places.
Copybara import of the project:
--
8be0435b0147263c3872bedec58fd215f784b450 by Ehsan Toosi <ehsan.nadjaran_toosi@dfki.de>:
[hlo] Unbreak hlo-legalize-to-lhlo test
COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/43069 from dfki-ehna:fix_hlo_legalize_to_lhlo_test 8be0435b0147263c3872bedec58fd215f784b450
PiperOrigin-RevId: 330907602
* Unified TF->Cubin and TF->Kernel_with_host side lowering in `kernel_creator.h|cc`
* Added a pass that attaches GPU binary blob to GPUModuleOp
* Refactored most of the code.
* Added tf_to_kernel binary that emits obj file
PiperOrigin-RevId: 330494488
Start of pass to legalize MHLO control flow to SCF for further optimization in common form. The current version just matches a very simple instance (which also happens to occur a few times). Exposes some further canonicalization opportunities that aren't yet addressed.
PiperOrigin-RevId: 329017723
Sean Silva
Stephan Herhut
A. Unique TensorFlower
Adrian Kuegel
Tres Popp
Lucy Fox
Alexander Belyaev
Chao Xie
Rahul Joshi
Ahmed S. Taei
Benjamin Kramer
Mehdi Amini
Hanhan Wang
Ehsan Toosi
Eugene Burmako
Jacques Pienaar
Robert Suderman