Commit Graph

200 Commits

Author SHA1 Message Date
Benjamin Kramer a9cc1dcfa0 [mlir][hlo] Add basic rank-specialization for select
This just blows up everything to ranked (up to 6) and is probably quite slow.
This is sufficient to make kernelgen compile SelectV2.

PiperOrigin-RevId: 358777728
2021-02-22 02:41:12 -08:00
Benjamin Kramer b42def4612 [mlir][hlo] Refactor rank specialization to allow an arbitrary number of inputs
This actually simplifies the code a bit.

PiperOrigin-RevId: 358201038
2021-02-18 09:53:03 -08:00
Benjamin Kramer ca4034b56e [mlir][hlo] Make select ready for dynamic shapes (ranked only for now)
Move tf.SelectV2 broadcast lowering to a chlo.broadcast_select op, and lower it
to broadcasts on mhlo from there.

PiperOrigin-RevId: 358179975
2021-02-18 08:08:40 -08:00
Adrian Kuegel 37e31f8b26 Lower Expm1 kernel to math.ExpM1.
PiperOrigin-RevId: 358152908
2021-02-18 04:54:23 -08:00
A. Unique TensorFlower 220deb3709 [MLIR][CHLO] Add legalization for `chlo.polygamma` to MHLO
PiperOrigin-RevId: 357954624
2021-02-17 08:33:01 -08:00
A. Unique TensorFlower c06de24f6c [MLIR][CHLO] Generalize lowering with upcast to n-ary operation
Allows reuse for zeta lowering now and for the polygamma lowering soon.

PiperOrigin-RevId: 357739910
2021-02-16 09:47:24 -08:00
A. Unique TensorFlower 2fe0c33083 Integrate LLVM at llvm/llvm-project@16428a8d91
Updates LLVM usage to match
[16428a8d91a9](https://github.com/llvm/llvm-project/commit/16428a8d91a9)

PiperOrigin-RevId: 357550807
2021-02-15 04:17:58 -08:00
Adrian Kuegel 824bc9c425 Improve broadcast transformation to treat dynamic shapes with 1 element as scalar.
A shape that contains exactly one element is effectively a scalar. This leads
to a speedup in cases where we have a binary op with one operand that is
effectively a scalar, because we can use the fast path.

PiperOrigin-RevId: 357515552
2021-02-14 23:25:41 -08:00
A. Unique TensorFlower 4060a86fe2 Integrate LLVM at llvm/llvm-project@2bfe27da17
Updates LLVM usage to match
[2bfe27da171e](https://github.com/llvm/llvm-project/commit/2bfe27da171e)

PiperOrigin-RevId: 357196336
2021-02-12 08:32:03 -08:00
Alexander Belyaev 36e04d92c0 [KERNEL_GEN] Add a pattern to bufferize `mhlo.reshape(<unranked_tensor>)`.
PiperOrigin-RevId: 356720899
2021-02-10 06:32:21 -08:00
A. Unique TensorFlower 80d753c1fe Integrate LLVM at llvm/llvm-project@f89f6d1e5d
Updates LLVM usage to match
[f89f6d1e5d7d](https://github.com/llvm/llvm-project/commit/f89f6d1e5d7d)

PiperOrigin-RevId: 356265374
2021-02-08 09:47:00 -08:00
Tres Popp d086b8a0ec Correct HLO atan2 lowering in cases of -inf and -0 inputs.
This is being done by just removing the approximation and lowering to atan2 lib calls later to make the implementation the same as XLA. Note that if the approximation is brought back later, it can be fixed by changing the IR checking `less-than(X, 0)` to `less-than(copysign(X, 1), 0)`

PiperOrigin-RevId: 356253941
2021-02-08 06:58:04 -08:00
Adrian Kuegel 1c4521cc42 Integrate LLVM at llvm/llvm-project@d1978fa4bf
Updates LLVM usage to match
[d1978fa4bf0d](https://github.com/llvm/llvm-project/commit/d1978fa4bf0d)

PiperOrigin-RevId: 355848094
2021-02-05 07:42:06 -08:00
A. Unique TensorFlower 99bc05f2e4 Integrate LLVM at llvm/llvm-project@91e7a17133
Updates LLVM usage to match
[91e7a1713332](https://github.com/llvm/llvm-project/commit/91e7a1713332)

PiperOrigin-RevId: 355702100
2021-02-04 13:42:31 -08:00
Stephan Herhut 60e1b6882c Add kernel definition for zeta operation.
PiperOrigin-RevId: 355575619
2021-02-04 01:27:43 -08:00
Mahesh Ravishankar 44d0464d16 Use linalg.fill on tensors instead of tensor.generate in MHLO -> Linalg conversion.
linalg.fill on tensors is a structured op that allows use tile + fuse
to reduce the fill overhead.

PiperOrigin-RevId: 355490400
2021-02-03 15:03:49 -08:00
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 3b67b207c4 [MLIR][CHLO] Use CHLO lowering for `is_inf` op
PiperOrigin-RevId: 355189054
2021-02-02 09:53:13 -08:00
A. Unique TensorFlower 0458ae9a22 [MLIR][KernelGen] Add `tf.Digamma` kernels
PiperOrigin-RevId: 355129028
2021-02-02 03:07:39 -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
A. Unique TensorFlower 816d279be3 [MLIR][CHLO] Simplify conversions with upcast
PiperOrigin-RevId: 354975366
2021-02-01 10:48:10 -08:00
A. Unique TensorFlower 2b72ddc6b2 [MLIR][KernelGen] Add `lgamma` kernels
PiperOrigin-RevId: 354519407
2021-01-29 06:14:17 -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 c653db73c5 Integrate LLVM at llvm/llvm-project@c85b6bf33c
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
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
Adrian Kuegel fa059259bc Add template for tf.Cast
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
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
Hanhan Wang e2d60e01ba Fix CMakeLists.txt
This is the followup of `7aa64ee0b791` The dep was added in BUILD, but not CMakeLists.txt

PiperOrigin-RevId: 353078811
2021-01-21 12:42:35 -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
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 0e85b4d511 [MLIR][KernelGen] Add `tf.Asinh` kernels and complete their lowerings
PiperOrigin-RevId: 352604725
2021-01-19 10:51:41 -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
A. Unique TensorFlower c11ea4ef5a [MLIR][KernelGen] Add `tf.Atanh` kernels
PiperOrigin-RevId: 352393602
2021-01-18 05:14:09 -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 791d5afd28 [MLIR][KernelGen] Add `tf.Asinh` kernels and complete their lowerings
PiperOrigin-RevId: 351989552
2021-01-15 05:26:57 -08:00
A. Unique TensorFlower 316f630728 [MLIR][KernelGen] Add cosh kernels and tests
Allow for relative tolerance in unary kernel tests. In case of the cosh kernels,
this allows to accept an observed difference of 5.6e-8 between the kernel and
the `std::cosh` reference (32829984.568665262 vs. 32829984.568665318) in one of
the test cases.

PiperOrigin-RevId: 351983698
2021-01-15 04:31:30 -08:00
A. Unique TensorFlower 181d2cad31 [MLIR][KernelGen] Add `tf.Log1p` kernel and tests
PiperOrigin-RevId: 351566460
2021-01-13 05:37:25 -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
A. Unique TensorFlower 97a618f91a Integrate LLVM at llvm/llvm-project@6f4d460762
Updates LLVM usage to match
[6f4d46076200](https://github.com/llvm/llvm-project/commit/6f4d46076200)

PiperOrigin-RevId: 351474229
2021-01-12 16:38:25 -08:00
A. Unique TensorFlower 0b85d5c510 [MLIR][KernelGen] Add asin kernels and tests
PiperOrigin-RevId: 351381423
2021-01-12 09:02:46 -08:00