0569b7f7a4
[MLIR][MHLO] Generalize extent tensor cast elimination in bcast moving
...
PiperOrigin-RevId: 370112887
2021-04-23 10:52:50 -07:00
21e9365718
[MLIR][MHLO] Generalize extent tensor cast elimination in bcast moving
...
PiperOrigin-RevId: 370085141
2021-04-23 08:31:11 -07:00
da5d252143
[MLIR] Merge extent tensor casts into `shape_of` ops in broadcast moving
...
PiperOrigin-RevId: 370058002
2021-04-23 04:44:01 -07:00
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
0ec0a23e61
[MLIR][HLO] Generalize merged witnesses in `move-up-dynamic-broadcasts-for-fusion`
...
PiperOrigin-RevId: 368012460
2021-04-12 08:55:29 -07:00
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
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
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
bbe0aa204c
[MLIR][MHLO] Merge assuming ops with compatible witnesses
...
PiperOrigin-RevId: 366018349
2021-03-31 06:11:38 -07:00
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
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
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
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
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
...
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
...
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
...
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
Alexander Belyaev
Benjamin Kramer