9ebadc4c4d
Integrate LLVM at llvm/llvm-project@482283042f
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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
85a306d356
[MLIR][MHLO] Add pattern to inline broadcasted shapes
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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
fb819c1de8
[MLIR][MHLO] Apply patterns in MoveUpDynamicBroadcastsForFusionPass greedily
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PiperOrigin-RevId: 365556488
2021-03-29 06:02:06 -07:00
8987dfd1d6
[MLIR][HLO] Move broadcasts over n-ary shape-preserving ops
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This will open up more fusion opportunities.
PiperOrigin-RevId: 364577231
2021-03-23 09:38:39 -07:00
54f37abc28
[MHLO] Move broadcasts over elementwise ops
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Move up dynamic broadcasts and shape computations to allow for more fusion
opportunities.
PiperOrigin-RevId: 364514158
2021-03-23 02:34:41 -07:00
d77b556822
[MLIR][MHLO] Allow recursion in the shape_of mover
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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
67a770e4e0
[HLO:MLIR] Make binary op type reification emit shape_of instead of tensor ops
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This gives cleaner code and allows shape optimizations to happen on the result.
PiperOrigin-RevId: 362242975
2021-03-11 02:01:35 -08:00
c217a6ef61
[MHLO] Add pass to move up dynamic broadcasts for fusion
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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
A. Unique TensorFlower
Benjamin Kramer