10cd797d6d
Integrate LLVM at llvm/llvm-project@bbb7555403
...
Updates LLVM usage to match
[bbb755540385](https://github.com/llvm/llvm-project/commit/bbb755540385 )
PiperOrigin-RevId: 355462338
2021-02-03 12:58:16 -08:00
6cd1875ee4
Implement lowering of chlo::zeta to mhlo dialect.
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PiperOrigin-RevId: 355395581
2021-02-03 07:50:05 -08:00
9d8a53c452
Integrate LLVM at llvm/llvm-project@e635feb15a
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Updates LLVM usage to match
[e635feb15a91](https://github.com/llvm/llvm-project/commit/e635feb15a91 )
PiperOrigin-RevId: 355392465
2021-02-03 07:32:31 -08:00
0472837e50
Integrate LLVM at llvm/llvm-project@54afcade3b
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Updates LLVM usage to match
[54afcade3bbc](https://github.com/llvm/llvm-project/commit/54afcade3bbc )
PiperOrigin-RevId: 355378020
2021-02-03 05:50:41 -08:00
1b63101a38
Integrate LLVM at llvm/llvm-project@fae6d129da
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Updates LLVM usage to match
[fae6d129dac2](https://github.com/llvm/llvm-project/commit/fae6d129dac2 )
PiperOrigin-RevId: 355360042
2021-02-03 03:21:07 -08:00
39aa1235d1
Integrate LLVM at llvm/llvm-project@2668714747
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Updates LLVM usage to match
[2668714747c5](https://github.com/llvm/llvm-project/commit/2668714747c5 )
PiperOrigin-RevId: 355292910
2021-02-02 17:58:41 -08:00
7cbf8d8878
Integrate LLVM at llvm/llvm-project@83d705adb2
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Updates LLVM usage to match
[83d705adb2e0](https://github.com/llvm/llvm-project/commit/83d705adb2e0 )
PiperOrigin-RevId: 355258427
2021-02-02 14:53:50 -08:00
04110a4b1c
Integrate LLVM at llvm/llvm-project@67dfe9c8d7
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Updates LLVM usage to match
[67dfe9c8d70c](https://github.com/llvm/llvm-project/commit/67dfe9c8d70c )
PiperOrigin-RevId: 355235205
2021-02-02 13:09:20 -08:00
3b67b207c4
[MLIR][CHLO] Use CHLO lowering for `is_inf` op
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PiperOrigin-RevId: 355189054
2021-02-02 09:53:13 -08:00
0726ab20fa
Integrate LLVM at llvm/llvm-project@4d904776a7
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Updates LLVM usage to match
[4d904776a77a](https://github.com/llvm/llvm-project/commit/4d904776a77a )
PiperOrigin-RevId: 355142758
2021-02-02 05:11:40 -08:00
ae722a883f
Improve performance of lowered chlo.pow with integers
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The new lowering takes 6 iterations of a loop always rather than iterating the exponent's number of times.
PiperOrigin-RevId: 355131133
2021-02-02 03:28:38 -08:00
0458ae9a22
[MLIR][KernelGen] Add `tf.Digamma` kernels
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PiperOrigin-RevId: 355129028
2021-02-02 03:07:39 -08:00
f40ccc5b4b
[MLIR][CHLO] Add `chlo.digamma` and lowering to MHLO
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PiperOrigin-RevId: 355122765
2021-02-02 02:10:17 -08:00
c2115f56c7
Integrate LLVM at llvm/llvm-project@8f7f2c4211
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Updates LLVM usage to match
[8f7f2c4211ca](https://github.com/llvm/llvm-project/commit/8f7f2c4211ca )
PiperOrigin-RevId: 355120697
2021-02-02 01:54:32 -08:00
96f8771ed7
Add MLIR generated kernel for Angle kernel.
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This also requires a canonicalization pattern to remove a redundant dynamic
reshape from rank 1 to rank 1.
PiperOrigin-RevId: 355113135
2021-02-02 00:47:20 -08:00
9d682343a9
Integrate LLVM at llvm/llvm-project@68f66f37d7
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Updates LLVM usage to match
[68f66f37d7d7](https://github.com/llvm/llvm-project/commit/68f66f37d7d7 )
PiperOrigin-RevId: 355069626
2021-02-01 18:17:47 -08:00
6c8ad0895b
Integrate LLVM at llvm/llvm-project@75347ba1fa
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Updates LLVM usage to match
[75347ba1fae2](https://github.com/llvm/llvm-project/commit/75347ba1fae2 )
PiperOrigin-RevId: 355031910
2021-02-01 14:51:46 -08:00
16bb35009b
Integrate LLVM at llvm/llvm-project@78c22fbce9
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Updates LLVM usage to match
[78c22fbce991](https://github.com/llvm/llvm-project/commit/78c22fbce991 )
PiperOrigin-RevId: 354999980
2021-02-01 12:28:24 -08:00
816d279be3
[MLIR][CHLO] Simplify conversions with upcast
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PiperOrigin-RevId: 354975366
2021-02-01 10:48:10 -08:00
8e3890e8e8
[MLIR:HLO] Add AllGather and AllToAll operations to LMHLO dialect.
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- Use a common base class to for AllReduce, AllGather, and AllToAll in the ODS spec.
- Add basic verification for replica groups attribute.
PiperOrigin-RevId: 354969654
2021-02-01 10:23:46 -08:00
7a251aaed4
Integrate LLVM at llvm/llvm-project@49a6502cd5
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Updates LLVM usage to match
[49a6502cd5c2](https://github.com/llvm/llvm-project/commit/49a6502cd5c2 )
PiperOrigin-RevId: 354936788
2021-02-01 07:43:37 -08:00
2da9d6947d
Integrate LLVM at llvm/llvm-project@e90e455d2a
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Updates LLVM usage to match
[e90e455d2a0c](https://github.com/llvm/llvm-project/commit/e90e455d2a0c )
PiperOrigin-RevId: 354922438
2021-02-01 05:57:58 -08:00
1be1123c70
[XLA:GPU] Add support for PartitionId
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PiperOrigin-RevId: 354599221
2021-01-29 13:31:54 -08:00
b1ce05cfc9
Integrate LLVM at llvm/llvm-project@1c762a81d2
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Updates LLVM usage to match
[1c762a81d20f](https://github.com/llvm/llvm-project/commit/1c762a81d20f )
PiperOrigin-RevId: 354567452
2021-01-29 11:04:26 -08:00
2b72ddc6b2
[MLIR][KernelGen] Add `lgamma` kernels
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PiperOrigin-RevId: 354519407
2021-01-29 06:14:17 -08:00
e61ef86fdb
Add zeta and broadcasting_zeta to chlo dialect.
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PiperOrigin-RevId: 354500879
2021-01-29 03:22:52 -08:00
eb8d5a5e39
Integrate LLVM at llvm/llvm-project@b92a39ac13
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Updates LLVM usage to match
[b92a39ac1319](https://github.com/llvm/llvm-project/commit/b92a39ac1319 )
PiperOrigin-RevId: 354482705
2021-01-29 00:32:48 -08:00
74b103fedf
Integrate LLVM at llvm/llvm-project@081c1db02d
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Updates LLVM usage to match
[081c1db02dd2](https://github.com/llvm/llvm-project/commit/081c1db02dd2 )
PiperOrigin-RevId: 354470978
2021-01-28 22:34:40 -08:00
c915b698b9
Integrate LLVM at llvm/llvm-project@e29552c5af
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Updates LLVM usage to match
[e29552c5aff6](https://github.com/llvm/llvm-project/commit/e29552c5aff6 )
PiperOrigin-RevId: 354433542
2021-01-28 17:37:31 -08:00
c97cff9a7b
[XLA:GPU] Migrate AllReduce thunk emission to MLIR.
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PiperOrigin-RevId: 354335704
2021-01-28 10:06:06 -08:00
30ce82790d
Upstream mhlo.reduce lowering to Linalg to MHLO repo.
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In IREE, we use indexed generic op to handle the initial value. However, we
lower it to a generic op that carries an init_tensor here, and leave the handle
of initialization problem to later passes.
PiperOrigin-RevId: 354294807
2021-01-28 05:46:09 -08:00
39589add22
Use the correct shape when converting mhlo.reshape
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If mhlo.reshape is not purely collapsing some consecutive operand
dimensions into result dimensions, we will generate two linalg
reshape op for it: the first one collapses all operand dimensions
into one dimension, and the second one expands it to all result
dimensions. For this case, the number of collapsed/expanded dimensions
should be coming strictly from the operand/result. It is different
from the case where we can generate one linalg reshape. For that case,
the reassociation map should have rank equal to the largest among
operand/result shape.
PiperOrigin-RevId: 354293826
2021-01-28 05:37:54 -08:00
e0a7be7fb1
[MLIR][CHLO] Add `chlo.lgamma` and lowering to `hlo`
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PiperOrigin-RevId: 354287316
2021-01-28 04:35:03 -08:00
c3ddcd6c7f
[MLIR][CHLO] Implement type inference for `is_inf`-like operations in CHLO
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PiperOrigin-RevId: 354265834
2021-01-28 01:37:04 -08:00
fe2e5a175f
[MLIR][HLO] Implement type inference for `is_finite` op
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PiperOrigin-RevId: 354261420
2021-01-28 00:56:12 -08:00
c653db73c5
Integrate LLVM at llvm/llvm-project@c85b6bf33c
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Updates LLVM usage to match
[c85b6bf33c47](https://github.com/llvm/llvm-project/commit/c85b6bf33c47 )
PiperOrigin-RevId: 354136678
2021-01-27 11:46:07 -08:00
d77c9ad6fa
[MLIR][CHLO] Add `is_inf`, `is_pos_inf`, and `is_neg_inf` to CHLO dialect
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Also add the respective lowerings to MHLO.
PiperOrigin-RevId: 354101955
2021-01-27 09:00:56 -08:00
f4f728f18e
Add SameOperandsAndResultShape trait to ConvertOp and IsFiniteOp.
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PiperOrigin-RevId: 354070005
2021-01-27 05:10:01 -08:00
fa059259bc
Add template for tf.Cast
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Also generate the kernels for all types of casts between signed int and float types.
This requires some adaptations to our build macros so that we can also specify the
output type of a kernel.
PiperOrigin-RevId: 354067727
2021-01-27 04:49:55 -08:00
44deae2aa1
[MLIR:HLO] Extend AllReduce to support multiple inputs and results (to model tuples).
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- Instead of SameTypeOperands, add custom verification to check if operands and
results pairwise have the same type.
PiperOrigin-RevId: 353986341
2021-01-26 17:25:22 -08:00
471fc63c11
Integrate LLVM at llvm/llvm-project@f3f3c9c254
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Updates LLVM usage to match
[f3f3c9c2549a](https://github.com/llvm/llvm-project/commit/f3f3c9c2549a )
PiperOrigin-RevId: 353667003
2021-01-25 09:49:38 -08:00
f6b24a6d54
[mlir][hlo] Make min/max always propagate NaNs
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This is the right behavior for TF and JAX and matches what TF does on GPU. It
doesn't match TF on CPU, but that's really a TF bug.
PiperOrigin-RevId: 353657779
2021-01-25 09:04:16 -08:00
b1438eebcb
[mlir][hlo] Make min/max always propagate NaNs
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This is the right behavior for TF and JAX and matches what TF does on GPU. It
doesn't match TF on CPU, but that's really a TF bug.
PiperOrigin-RevId: 353628258
2021-01-25 05:43:15 -08:00
6af4bccfde
[mlir][hlo] Make min/max always propagate NaNs
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This is the right behavior for TF and JAX and matches what TF does on GPU. It
doesn't match TF on CPU, but that's really a TF bug.
PiperOrigin-RevId: 353624935
2021-01-25 05:15:24 -08:00
0860e8de9b
Integrate LLVM at llvm/llvm-project@0057cc5a21
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Updates LLVM usage to match
[0057cc5a215e](https://github.com/llvm/llvm-project/commit/0057cc5a215e )
PiperOrigin-RevId: 353618541
2021-01-25 04:16:02 -08:00
e192d2a764
Integrate LLVM at llvm/llvm-project@e27197f360
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Updates LLVM usage to match
[e27197f36054](https://github.com/llvm/llvm-project/commit/e27197f36054 )
PiperOrigin-RevId: 353311722
2021-01-22 13:50:07 -08:00
41c468ca52
Integrate LLVM at llvm/llvm-project@06f8a49693
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Updates LLVM usage to match
[06f8a4969395](https://github.com/llvm/llvm-project/commit/06f8a4969395 )
PiperOrigin-RevId: 353266312
2021-01-22 10:16:19 -08:00
dfafaac954
Integrate LLVM at llvm/llvm-project@85e7578c6d
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Updates LLVM usage to match
[85e7578c6db8](https://github.com/llvm/llvm-project/commit/85e7578c6db8 )
PiperOrigin-RevId: 353245217
2021-01-22 08:21:37 -08:00
b865148492
Integrate LLVM at llvm/llvm-project@def99ad68b
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Updates LLVM usage to match
[def99ad68bce](https://github.com/llvm/llvm-project/commit/def99ad68bce )
PiperOrigin-RevId: 353222879
2021-01-22 05:30:48 -08:00
ae2d46414d
[MLIR][KernelGen] Add erfc kernel for f16
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PiperOrigin-RevId: 353209468
2021-01-22 03:38:30 -08:00
A. Unique TensorFlower
Stephan Herhut
Adrian Kuegel
Tres Popp
Rahul Joshi
Hanhan Wang
Lei Zhang
Benjamin Kramer