Commit Graph

23 Commits

Author SHA1 Message Date
A. Unique TensorFlower 31536431e0 [MLIR][HLO] Eliminate duplicate broadcastable constraints
PiperOrigin-RevId: 376718433
2021-05-31 13:50:23 -07:00
A. Unique TensorFlower 0f341012c6 [MLIR][HLO] Eliminate duplicate broadcastable constraints
PiperOrigin-RevId: 376715240
2021-05-31 13:08:02 -07:00
A. Unique TensorFlower d8c40b691c [MLIR][HLO] Add `shape.broadcast` canonicalization to unblock broadcast moving
PiperOrigin-RevId: 372120309
2021-05-05 07:16:49 -07:00
A. Unique TensorFlower 0569b7f7a4 [MLIR][MHLO] Generalize extent tensor cast elimination in bcast moving
PiperOrigin-RevId: 370112887
2021-04-23 10:52:50 -07:00
A. Unique TensorFlower 21e9365718 [MLIR][MHLO] Generalize extent tensor cast elimination in bcast moving
PiperOrigin-RevId: 370085141
2021-04-23 08:31:11 -07:00
A. Unique TensorFlower da5d252143 [MLIR] Merge extent tensor casts into `shape_of` ops in broadcast moving
PiperOrigin-RevId: 370058002
2021-04-23 04:44:01 -07:00
A. Unique TensorFlower 9374a1c0c5 [MLIR] Fix merge of assuming ops
Assuming ops can only be merged if their witnesses will dominate the merged
assuming op. This is not the case if the second op's witness is a result of the
first.

PiperOrigin-RevId: 369192868
2021-04-19 04:21:08 -07:00
A. Unique TensorFlower 0ec0a23e61 [MLIR][HLO] Generalize merged witnesses in `move-up-dynamic-broadcasts-for-fusion`
PiperOrigin-RevId: 368012460
2021-04-12 08:55:29 -07:00
Alexander Belyaev 8a9bf05d78 Integrate LLVM at llvm/llvm-project@6ce76ff7eb
Updates LLVM usage to match
[6ce76ff7eb76](https://github.com/llvm/llvm-project/commit/6ce76ff7eb76)

PiperOrigin-RevId: 367678843
2021-04-09 12:11:56 -07:00
A. Unique TensorFlower 6d2209e301 [MLIR][HLO] Canonicalize chained broadcasts
Compose two subsequent `dynamic_broadcast_in_dim` ops into one.

PiperOrigin-RevId: 367630360
2021-04-09 07:35:34 -07:00
A. Unique TensorFlower c23be1841c [MLIR] Add example test case for `move-up-dynamic-broadcasts-for-fusion` pass
Add exemplary test case as it appears in the lowering of two subsequent `tf.Sub`
ops.

PiperOrigin-RevId: 366219139
2021-04-01 03:24:43 -07:00
A. Unique TensorFlower bbe0aa204c [MLIR][MHLO] Merge assuming ops with compatible witnesses
PiperOrigin-RevId: 366018349
2021-03-31 06:11:38 -07:00
A. Unique TensorFlower 9206805c58 [MLIR][MHLO] Do not yield results of ops that were moved out of assuming regions
When an op is moved out of an assuming region we already know statically that it
is independent of the assuming region. Hence, there is no need to yield its
results.

PiperOrigin-RevId: 366001405
2021-03-31 03:50:27 -07:00
A. Unique TensorFlower 8ade5d78c8 [MLIR][MHLO] Move `cstr_broadcastable` and `shape_of` out of `assuming` regions
Add pattern to move operations out of assuming op. This only valid for
constraint-independent ops, like `cstr_broadcastable` and `shape_of`. It will
eventually allow to make assuming regions' constraints independent from each
other so that they can be merged.

PiperOrigin-RevId: 365993145
2021-03-31 02:39:07 -07:00
A. Unique TensorFlower eade942635 [MLIR][MHLO] Add pattern to move ops into the assuming region
This will eventually allow to make assuming regions' constraints independent
from each other.

PiperOrigin-RevId: 365985081
2021-03-31 01:23:31 -07:00
A. Unique TensorFlower 9ebadc4c4d Integrate LLVM at llvm/llvm-project@482283042f
Updates LLVM usage to match
[482283042f79](https://github.com/llvm/llvm-project/commit/482283042f79)

PiperOrigin-RevId: 365710568
2021-03-29 18:29:48 -07:00
A. Unique TensorFlower 85a306d356 [MLIR][MHLO] Add pattern to inline broadcasted shapes
Simplify reasoning about `cstr_broadcastable` ops in the
`mhlo-move-up-dynamic-broadcasts-for-fusion` pass.

PiperOrigin-RevId: 365560893
2021-03-29 06:32:32 -07:00
A. Unique TensorFlower fb819c1de8 [MLIR][MHLO] Apply patterns in MoveUpDynamicBroadcastsForFusionPass greedily
PiperOrigin-RevId: 365556488
2021-03-29 06:02:06 -07:00
A. Unique TensorFlower 8987dfd1d6 [MLIR][HLO] Move broadcasts over n-ary shape-preserving ops
This will open up more fusion opportunities.

PiperOrigin-RevId: 364577231
2021-03-23 09:38:39 -07:00
A. Unique TensorFlower 54f37abc28 [MHLO] Move broadcasts over elementwise ops
Move up dynamic broadcasts and shape computations to allow for more fusion
opportunities.

PiperOrigin-RevId: 364514158
2021-03-23 02:34:41 -07:00
Benjamin Kramer d77b556822 [MLIR][MHLO] Allow recursion in the shape_of mover
This allows it to push shape_of over a chain of ops all the way to the top.

PiperOrigin-RevId: 362249009
2021-03-11 02:52:21 -08:00
Benjamin Kramer 67a770e4e0 [HLO:MLIR] Make binary op type reification emit shape_of instead of tensor ops
This gives cleaner code and allows shape optimizations to happen on the result.

PiperOrigin-RevId: 362242975
2021-03-11 02:01:35 -08:00
A. Unique TensorFlower c217a6ef61 [MHLO] Add pass to move up dynamic broadcasts for fusion
For now, the pass only reifies the required shape computations. Moving
broadcasts will follow to allow for fusion across them.

PiperOrigin-RevId: 362033715
2021-03-10 06:21:57 -08:00