Commit Graph

188 Commits

Author SHA1 Message Date
Stephan Herhut 6cd1875ee4 Implement lowering of chlo::zeta to mhlo dialect.
PiperOrigin-RevId: 355395581
2021-02-03 07:50:05 -08:00
A. Unique TensorFlower 04110a4b1c Integrate LLVM at llvm/llvm-project@67dfe9c8d7
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
Tres Popp ae722a883f Improve performance of lowered chlo.pow with integers
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
A. Unique TensorFlower f40ccc5b4b [MLIR][CHLO] Add `chlo.digamma` and lowering to MHLO
PiperOrigin-RevId: 355122765
2021-02-02 02:10:17 -08:00
Adrian Kuegel c2115f56c7 Integrate LLVM at llvm/llvm-project@8f7f2c4211
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
Adrian Kuegel 96f8771ed7 Add MLIR generated kernel for Angle kernel.
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
Rahul Joshi 8e3890e8e8 [MLIR:HLO] Add AllGather and AllToAll operations to LMHLO dialect.
- 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
Stephan Herhut e61ef86fdb Add zeta and broadcasting_zeta to chlo dialect.
PiperOrigin-RevId: 354500879
2021-01-29 03:22:52 -08:00
Hanhan Wang 30ce82790d Upstream mhlo.reduce lowering to Linalg to MHLO repo.
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
Lei Zhang 39589add22 Use the correct shape when converting mhlo.reshape
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
A. Unique TensorFlower e0a7be7fb1 [MLIR][CHLO] Add `chlo.lgamma` and lowering to `hlo`
PiperOrigin-RevId: 354287316
2021-01-28 04:35:03 -08:00
A. Unique TensorFlower d77c9ad6fa [MLIR][CHLO] Add `is_inf`, `is_pos_inf`, and `is_neg_inf` to CHLO dialect
Also add the respective lowerings to MHLO.

PiperOrigin-RevId: 354101955
2021-01-27 09:00:56 -08:00
Rahul Joshi 44deae2aa1 [MLIR:HLO] Extend AllReduce to support multiple inputs and results (to model tuples).
- 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
Benjamin Kramer f6b24a6d54 [mlir][hlo] Make min/max always propagate NaNs
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
A. Unique TensorFlower b1438eebcb [mlir][hlo] Make min/max always propagate NaNs
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
Benjamin Kramer 6af4bccfde [mlir][hlo] Make min/max always propagate NaNs
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
A. Unique TensorFlower ae2d46414d [MLIR][KernelGen] Add erfc kernel for f16
PiperOrigin-RevId: 353209468
2021-01-22 03:38:30 -08:00
A. Unique TensorFlower ef8ccdaebc [MLIR] Add mhlo.logistic lowering to linalg
PiperOrigin-RevId: 353205440
2021-01-22 03:03:16 -08:00
A. Unique TensorFlower c846f925d4 [MLIR][KernelGen] Add chlo.erfc lowering for f32
PiperOrigin-RevId: 353201886
2021-01-22 02:33:21 -08:00
A. Unique TensorFlower 56758a9562 [MLIR][KernelGen] Lower mhlo.log_plus_one to std.log1p
PiperOrigin-RevId: 353200069
2021-01-22 02:18:32 -08:00
A. Unique TensorFlower 1a37078132 [MLIR][KernelGen] Add chlo.erfc lowerings for f64
PiperOrigin-RevId: 352993223
2021-01-21 04:42:56 -08:00
A. Unique TensorFlower bec2e625a2 [MLIR][KernelGen] Add approximation lowering for mhlo.erf operation on f64
PiperOrigin-RevId: 352977456
2021-01-21 02:48:43 -08:00
Alexander Belyaev 7aa64ee0b7 [MLIR] Migrate TF from STD complex ops to ComplexDialect.
PiperOrigin-RevId: 352966408
2021-01-21 01:22:25 -08:00
Hanhan Wang 46112c95c6 Use `uitofp` when converting a boolean to floating-point.
It was lowered to `sitofp` which resulted in `-1.0`.

PiperOrigin-RevId: 352958489
2021-01-21 00:15:30 -08:00
Stephan Herhut 70a351f301 Add chlo.acosh operation and associated lowerings.
PiperOrigin-RevId: 352839289
2021-01-20 11:43:44 -08:00
Tres Popp ba0346b071 Integrate LLVM at llvm/llvm-project@96ef4f307d
Updates LLVM usage to match
[96ef4f307df2](https://github.com/llvm/llvm-project/commit/96ef4f307df2)

PiperOrigin-RevId: 352786460
2021-01-20 07:09:47 -08:00
A. Unique TensorFlower ec5f5667e1 [MLIR][KernelGen] Add `tf.Asinh` kernels and complete their lowerings
PiperOrigin-RevId: 352773540
2021-01-20 05:31:15 -08:00
A. Unique TensorFlower 96fb617413 [MLIR][KernelGen] Add erf kernel and missing lowering for f16 type
PiperOrigin-RevId: 352416184
2021-01-18 08:21:15 -08:00
Tres Popp ba2ee556f1 Handle negative exponents for lowering of hlo.pow
PiperOrigin-RevId: 352382812
2021-01-18 03:47:28 -08:00
A. Unique TensorFlower 3763740910 [MLIR][KernelGen] Add erf kernel for f32 arguments and missing lowerings
PiperOrigin-RevId: 352381016
2021-01-18 03:35:13 -08:00
A. Unique TensorFlower bcdb3c3548 [MLIR] Lower mhlo.clamp to linalg
PiperOrigin-RevId: 351998800
2021-01-15 06:45:38 -08:00
A. Unique TensorFlower 9a1abaa212 Integrate LLVM at llvm/llvm-project@e2d7d3cb0e
Updates LLVM usage to match
[e2d7d3cb0ead](https://github.com/llvm/llvm-project/commit/e2d7d3cb0ead)

PiperOrigin-RevId: 351915841
2021-01-14 18:05:33 -08:00
Hanhan Wang 300a7c11ce Upstream mhlo.dot_general lowering to Linalg to MHLO repo
PiperOrigin-RevId: 351514250
2021-01-12 22:08:46 -08:00
Hanhan Wang 8f58f844e5 Upstream mhlo.dot lowering to Linalg to MHLO repo.
We prototyped the lowering from mhlo.dot to linalg.matmul in IREE. Since Linalg
now supports matmul in tensors world, we can move the lowering logic to tensors
world, and upstream to legalize_to_linalg.cc. The patch lowers the mhlo.dot to
the linalg.matmul/matvec/dot in tensors world.

PiperOrigin-RevId: 351184911
2021-01-11 10:35:24 -08:00
Alexander Belyaev 180f917446 [KERNEL_GEN] Add a pattern for hlo.dyn_broadcast->linalg to enable is_inf kernel.
PiperOrigin-RevId: 351179620
2021-01-11 10:13:31 -08:00
Alexander Belyaev ecf1bf5132 [KERNEL_GEN] Add a canonicalization pattern to drop a redundant dynamic reshape.
PiperOrigin-RevId: 351141868
2021-01-11 06:38:03 -08:00
Alexander Belyaev 6c42f54298 [KERNEL_GEN] Restrict broadcast -> reshape canonicalization to identity dims.
This is needed to avoid the case, when the broadcast_in_dims also performs permutation.

PiperOrigin-RevId: 350650342
2021-01-07 15:30:28 -08:00
Alexander Belyaev 095dc28e5c [KERNEL_GEN] Add canonicalizaton pattern to drop a redundant broadcast op.
PiperOrigin-RevId: 350105790
2021-01-05 03:01:00 -08:00
A. Unique TensorFlower b0bf2ef45b Integrate LLVM at llvm/llvm-project@c3acda0798
Updates LLVM usage to match
[c3acda0798f9](https://github.com/llvm/llvm-project/commit/c3acda0798f9)

PiperOrigin-RevId: 348896724
2020-12-23 23:53:54 -08:00
Stephan Herhut ccdd07f8e4 Prepare to remove tensor_load and tensor_store special handling from hlo to lhlo legalization.
This updates the tests to no longer rely on tensor_store. Once all users of this behavior have adopted, the tensor_store support will be removed.

PiperOrigin-RevId: 348624899
2020-12-22 06:29:12 -08:00
Tres Popp a42213b870 Define lowering of [l]mhlo.pow.
For floating point operations, this uses std.pow.
For integer operations, this lowers to a loop.
This adds a dependency on scf.

PiperOrigin-RevId: 348537232
2020-12-21 15:27:40 -08:00
Smit Hinsu 737d15ded5 Handle operands with zero elements in HLO PadOp folder
PiperOrigin-RevId: 348034821
2020-12-17 09:27:36 -08:00
Rahul Joshi 8134bff98d [XLA:GPU] Add layout attributes to LHLO_GPU Convolution operations.
- MLIR MemRefs do not preserve layout information correctly when unit dimensions
  are involved. Operations like convolution that use cuDNN however need the correct
  layout to be preserved so that we do not end up creating an incompatible combination
  of input/filter/output layout that is not supported by cuDNN.
- Add these layouts to convolution attributes in the form of I32ArrayAttr for representing
  the layout in "minor_to_major" form similar to XLA.

PiperOrigin-RevId: 348034757
2020-12-17 09:26:28 -08:00
Adrian Kuegel 1f244c3e2c Fix SignOp lowering for floating point values.
It didn't return 0 for 0.0 and -0.0.
Currently we emit -0.0 for -0.0 which is correct according to the HLO dialect.
For the TF_SignOp we should emit 0.0 in that case, we will leave that as a TODO.
Enable the tests which work now, and add another one for Int64.
Also improve the registration code, we should not register the Int32 kernel.

PiperOrigin-RevId: 347981124
2020-12-17 01:45:54 -08:00
A. Unique TensorFlower 5da9190dd9 Integrate LLVM at llvm/llvm-project@0cf7e4b252
Updates LLVM usage to match
[0cf7e4b252fe](https://github.com/llvm/llvm-project/commit/0cf7e4b252fe)

PiperOrigin-RevId: 347948887
2020-12-16 20:30:17 -08:00
Alexander Belyaev 65222893ae [KERNEL_GEN] Convert LHLO AddOp, SubOp (ComplexType) to complex ops.
PiperOrigin-RevId: 347805898
2020-12-16 05:45:06 -08:00
Alexander Belyaev e6e8920921 [KERNEL_GEN] Switch the pipeline to Linalg-on-Tensors.
PiperOrigin-RevId: 347781190
2020-12-16 01:51:15 -08:00
A. Unique TensorFlower f0c2695d31 Fix SignOp lowering for floating point values.
It didn't return 0 for 0.0 and -0.0.
Currently we emit -0.0 for -0.0 which is correct according to the HLO dialect.
For the TF_SignOp we should emit 0.0 in that case, we will leave that as a TODO.
Enable the tests which work now, and add another one for Int64.
Also improve the registration code, we should not register the Int32 kernel.

PiperOrigin-RevId: 347602378
2020-12-15 06:49:48 -08:00
Alexander Belyaev ddda2699fb [KERNEL_GEN] Switch the pipeline to Linalg-on-Tensors.
PiperOrigin-RevId: 347600145
2020-12-15 06:32:25 -08:00
Adrian Kuegel 79fa36bcbc Fix SignOp lowering for floating point values.
It didn't return 0 for 0.0 and -0.0.
Currently we emit -0.0 for -0.0 which is correct according to the HLO dialect.
For the TF_SignOp we should emit 0.0 in that case, we will leave that as a TODO.
Enable the tests which work now, and add another one for Int64.
Also improve the registration code, we should not register the Int32 kernel.

PiperOrigin-RevId: 347590340
2020-12-15 05:12:48 -08:00