Commit Graph

41 Commits

Author SHA1 Message Date
A. Unique TensorFlower 7f86dd9f7e Constant fold compare EQ if one of the operands is true and compare NE if one of the operands is false.
PiperOrigin-RevId: 373058030
2021-05-10 18:53:49 -07:00
A. Unique TensorFlower 8db96f54d3 [mhlo] Add a folder for mhlo.map which does nothing but return one of the arguments.
Add a folder for maps whose body returns only one of the arguments. When this arises the fold replaces the map output with one of the operand tensors.

PiperOrigin-RevId: 369304322
2021-04-19 14:36:08 -07:00
Geoffrey Martin-Noble 5d65758e8c Canonicalize MHLO Case and If Ops with constant conditions
ReplaceOpWithRegion was taken directly from ScfOps. We should maybe put that somewhere common in core.

PiperOrigin-RevId: 365936724
2021-03-30 17:58:01 -07:00
Geoffrey Martin-Noble a2b6060c0c Add folder for HLO NotOp
PiperOrigin-RevId: 364989658
2021-03-25 02:08:38 -07:00
A. Unique TensorFlower c54527fe88 Integrate LLVM at llvm/llvm-project@678241795c
Updates LLVM usage to match
[678241795c95](https://github.com/llvm/llvm-project/commit/678241795c95)

PiperOrigin-RevId: 363257913
2021-03-16 13:33:00 -07:00
Stephan Herhut cabd4d9a06 Canonicalize dynamic_broadcast_in_dim to own shape with rank narrowing on the shape to a corresponding tensor.cast.
PiperOrigin-RevId: 362028291
2021-03-10 05:43:54 -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
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
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
Smit Hinsu 737d15ded5 Handle operands with zero elements in HLO PadOp folder
PiperOrigin-RevId: 348034821
2020-12-17 09:27:36 -08:00
Smit Hinsu ab6ee11813 Fix folding of HLO SliceOp with zero elements
This was causing division by zero in this case.

PiperOrigin-RevId: 346920942
2020-12-10 20:22:48 -08:00
Phoenix Meadowlark c33bdcbd03 Remove fold of `mhlo.compare(%arg0, %arg0)` for floating types.
Two tensors having the same SSA-value isn't sufficient for equality for floating types, as `NaN != NaN`. As written this causes `tf.IsNan` to [miscompile](https://github.com/google/iree/issues/4061).

PiperOrigin-RevId: 345730640
2020-12-04 12:15:02 -08:00
Adrian Kuegel d14c63da54 Add a canonicalization pattern to remove redundant dynamic_reshapes.
PiperOrigin-RevId: 344517381
2020-11-27 04:46:50 -08:00
A. Unique TensorFlower 7f239c7ba2 Add canonicalizer for Reshape(Broadcast(X)) pattern when it is an identity sequence
PiperOrigin-RevId: 343251257
2020-11-19 02:32:45 -08:00
Tres Popp 1dffa62fe9 Fold away shape.shape_of(mhlo.dynamic_reshape(inp, shape))
This specific pattern can be replaced with the shape
passed to dynamic_reshape. This is implemented as a
canonicalization on mhlo.dynamic_reshape to fit in
the infrastructure of canonicalization.

PiperOrigin-RevId: 342009365
2020-11-12 02:48:26 -08:00
Smit Hinsu 4ef12aa000 Update GetDimensionSize and SetDimensionSize ops to use I64 attribute for dimension
This is to match with HLO semantics and general dimension semantics in MLIR.

Also,

* Define minimal verifier for these ops.
* Add folder for SetDimensionSize op on static shaped dimension.
* Fix assumption of ranked shape in GetDimensionSize op.

PiperOrigin-RevId: 341150923
2020-11-06 18:03:04 -08:00
A. Unique TensorFlower 7a983ea389 Add folder for mhlo::pad
PiperOrigin-RevId: 337827560
2020-10-19 04:21:44 -07:00
A. Unique TensorFlower 4a18aa41ee Add folder to mhlo::round_nearest_afz
PiperOrigin-RevId: 337823786
2020-10-19 03:45:15 -07:00
A. Unique TensorFlower 05ee41baf8 Add folder for mhlo::scatter
PiperOrigin-RevId: 337274351
2020-10-15 03:26:05 -07:00
A. Unique TensorFlower 7367eac074 Add folder for mhlo::remainder
PiperOrigin-RevId: 335372628
2020-10-05 02:20:01 -07:00
A. Unique TensorFlower 4b1809784a Support collapse_slice_dims in the mhlo.gather->mhlo.slice canonicalizer
PiperOrigin-RevId: 334774763
2020-10-01 02:46:49 -07:00
Robert Suderman 233f1a8a1a Folders for mhlo.compare
Constant evaluation of compare for the case where inputs are either the same
variable or the values are constant.

PiperOrigin-RevId: 333342328
2020-09-23 12:03:48 -07:00
Hanhan Wang 1800f44a29 Add sqrt folder.
PiperOrigin-RevId: 331974344
2020-09-16 04:04:09 -07:00
Robert Suderman dff98f8cd5 Folder for mhlo.negate
PiperOrigin-RevId: 331592342
2020-09-14 11:38:44 -07:00
Robert Suderman 81d51d810b Bitwise and/or/xor folders
Includes both and/or/xor on same inputs, constant all ones/zeros single arg
folder, and constant input folders.

PiperOrigin-RevId: 330610858
2020-09-08 16:27:13 -07:00
A. Unique TensorFlower 73b4861f2c Canonicalize mhlo.gather to mhlo.slice if it has a single set of constant indices
PiperOrigin-RevId: 330380755
2020-09-07 07:28:46 -07:00
Robert Suderman 7c93352a40 Scalar / Trivial folding for mhlo.select
This covers the case where the predicate is a splat or the on_true/on_false
values are the same.

PiperOrigin-RevId: 329622785
2020-09-01 18:34:12 -07:00
A. Unique TensorFlower a622bf479b Fix mhlo::SliceOp::fold to not crash on unknown shapes
PiperOrigin-RevId: 329504383
2020-09-01 07:37:36 -07:00
Uday Bondhugula 94296bb7ec PR #42509: [MLIR] Add folder for mhlo get_dimension_size
Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/42509

Add folder for mhlo GetDimensionSizeOp (`mhlo.get_dimension_size`).
`get_dimension_size` folds to a constant when the corresponding tensor
dimension size is statically known / constant.
Copybara import of the project:

--
5994915525ec2e932125aa1f133ce2260ba100af by Uday Bondhugula <uday@polymagelabs.com>:

[MLIR] Add folder for mhlo get_dimension_size

Add folder for mhlo GetDimensionSizeOp. get_dimension_size folds to a
constant when the corresponding tensor dimension size is statically
known / constant.

COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/42509 from polymage-labs:get_dimension_size_fold 5994915525ec2e932125aa1f133ce2260ba100af
PiperOrigin-RevId: 328222517
2020-08-24 15:36:30 -07:00
Uday Bondhugula 282dba6d38 PR #42508: [MLIR] Erase dead lmhlo.constant ops
Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/42508

An lmhlo.constant op on an memref that is locally allocated and with
no users other than dealloc's can be deleted. Add a canonicalization
pattern for this.
Copybara import of the project:

--
8758c409a15f567e7cb8e1077faa020f5705c85a by Uday Bondhugula <uday@polymagelabs.com>:

[MLIR] Erase dead lmhlo.constant ops

An lmhlo.constant op on an memref that is locally allocated and with
no other users (other than dealloc's) can be deleted. Add a
canonicalization patter for this.

COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/42508 from polymage-labs:lhlo_constant_erase 8758c409a15f567e7cb8e1077faa020f5705c85a
PiperOrigin-RevId: 328042416
2020-08-23 12:28:54 -07:00
Jacques Pienaar 5dac76f4af Add chlo.constant_like op which splats a constant to shape of operand
This allows specifying a constant whose shape is only known when operand shape is. Also use it to update tf.Acos legalization.

PiperOrigin-RevId: 325860604
2020-08-11 14:54:48 -07:00
Andy Ly c340367702 Add canonicalization for unpacking and repacking the same tuple (e.g. tuple -> get_tuple_element -> tuple).
These unpacking and repacking of tuples may be generated when modifying tuple arguments or results.

PiperOrigin-RevId: 325162694
2020-08-05 21:38:02 -07:00
Thomas Joerg 739758f9cc Integrate LLVM at llvm/llvm-project@eed333149d
Updates LLVM usage to match
[eed333149d17](https://github.com/llvm/llvm-project/commit/eed333149d17)

PiperOrigin-RevId: 323354988
2020-08-03 19:27:25 -07:00
Stephan Herhut 7a6adc6a84 Add canonicalization patterns for dynamic_broadcast_in_dim where the target shape is the shape of the operand.
PiperOrigin-RevId: 321312182
2020-07-30 22:34:06 +00:00
Robert Suderman 06ae59074f Fold xla iota across a 1-length dimension into a zero value
Iota across length-1 is just a constant. Fold into it.

PiperOrigin-RevId: 320443468
2020-07-30 22:33:43 +00:00
Uday Bondhugula de0578b4f9 PR #40745: [MLIR] Add constant folder for xla_hlo.broadcast_in_dim op
Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/40745

Fold broadcast_in_dim op if the operand is the result of a tensor splat.
Copybara import of the project:

--
26c9f631448b8d6ffd20ece39ea8d4132b5550c7 by Uday Bondhugula <uday@polymagelabs.com>:

[MLIR] Add constant folder for xla_hlo.broadcast_in_dim op

Fold broadcast_in_dim op if the operand is the result of a tensor
splat.

COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/40745 from polymage-labs:broadcast_in_dim_fold 26c9f631448b8d6ffd20ece39ea8d4132b5550c7
PiperOrigin-RevId: 320365164
2020-07-30 22:33:34 +00:00
Robert Suderman e1651b6090 Canonicalize multidimensional iota to use broadcast
There is no reason to have a multidimensional iota for codegen.
This should be canonicalized to a single dimensional iota followed
by a broadcast. Changing iota to on a single dimension  and a broadcast
substantially simplifies implementing iota operations.

PiperOrigin-RevId: 320095470
2020-07-30 22:32:54 +00:00
Mehdi Amini 8900222fed Rename `xla_hlo` dialect to `mhlo`
This is part of the current refactoring of the HLO related dialect.
`xla_hlo` will be reintroduced in a new form later.

PiperOrigin-RevId: 319916753
2020-07-30 22:32:50 +00:00
Mehdi Amini fa057cc0bc Move HLO tests to `third_party/tensorflow/compiler/mlir/hlo/`
Also add a localized `mlir-hlo-opt` binary for the testing of
tensorflow/compiler/mlir/hlo/... ; this directory is intended to be self-contained
and depend only on MLIR.

PiperOrigin-RevId: 319878984
2020-07-30 22:32:45 +00:00