Commit Graph

21 Commits

Author SHA1 Message Date
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
A. Unique TensorFlower 65b0613491 Integrate LLVM at llvm/llvm-project@202766947e
Updates LLVM usage to match
[202766947edb](https://github.com/llvm/llvm-project/commit/202766947edb)

PiperOrigin-RevId: 329673065
2020-09-02 02:27:52 -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
A. Unique TensorFlower e6fa003bf2 Integrate LLVM at llvm/llvm-project@b6d9add71b
Updates LLVM usage to match
[b6d9add71b1a](https://github.com/llvm/llvm-project/commit/b6d9add71b1a)

PiperOrigin-RevId: 325589103
2020-08-08 04:35:25 -07:00
Andy Ly 53fdda7f3e Update mhlo.constant to use a custom assembly format instead of a custom printer and parser (NFC).
PiperOrigin-RevId: 325560779
2020-08-07 22:23:06 -07:00
Lucy Fox d742477c02 Verify that MHLO DynamicUpdateSlice start indices have matching element types.
HLO requires that the element types match for all start index parameters. Right now we don't catch this invalid case until export, so adding a check in the verifier so that we catch this sooner.

This also requires a small tweak to the TF InplaceUpdate op lowering.

PiperOrigin-RevId: 325463796
2020-08-07 22:21:40 -07:00
Lucy Fox cd22ecd136 Relax DynamicBroadcastInDim verifier when dimensions are dynamic.
For input and output dimensions which must match, we shouldn't fail in the case where one dim is dynamic and the other is static. This is insufficient information to conclude a dimension mismatch.

PiperOrigin-RevId: 325344738
2020-08-07 22:18:38 -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
Mehdi Amini cd01bb4c4e More cleanup in mlir-hlo to prepare for the standalone build
Shuffle files around, use TableGen to register passes, and introduce
a `mlir-hlo-opt.cpp` file to hold the main entry point of the -opt tool
and stop relying on static registration for dialect/passes.

PiperOrigin-RevId: 323674455
2020-08-03 19:28:00 -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
Tres Popp 63d62b7952 Change cast to dyn_cast in hlo::ReshapeOp's verification.
With cast, a failing verification results in an assertion error rather than returning a failing status.

PiperOrigin-RevId: 322317937
2020-07-30 22:34:36 +00:00
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
Mehdi Amini 506ddd9c4a Cleanup build rule names in compiler/mlir/hlo to remove the redundant/obsolete xla_ prefix
PiperOrigin-RevId: 320320140
2020-07-30 22:33:29 +00:00
Mehdi Amini a575636862 Rename XlaHloDialect class into MhloDialect following the recent dialect namespace renaming
PiperOrigin-RevId: 320213526
2020-07-30 22:33:20 +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 fcf3df1541 Move the HLO/LHLO dialects to a new directory: tensorflow/compiler/mlir/hlo
We're preparing to restructure the MLIR HLO ecosystem with 5 dialects:

- chlo: client dialect with explicit broadcast and multiple composite operations
- mhlo: hlo with dynamic shape, decouple from XLA for evolution purpose
- lmhlo: same as above, but after buffer assignment.
- xla_hlo: mapping 1:1 to the XLA HloInstruction class.
- xla_lhlo: same as above, but after buffer assignment.

The first three dialects are intended to live in the new tensorflow/compiler/mlir/hlo
path, the latter two will be created in tensorflow/compiler/mlir/xla.

This patch only moves the directory, will followup with other transformations and tests.

The structure of the new directory follows: https://llvm.discourse.group/t/rfc-canonical-file-paths-to-dialects/621 as we intend to make it a standalone buildable component (see also https://github.com/google/mlir-npcomp as another example).

PiperOrigin-RevId: 319273229
2020-07-30 22:32:32 +00:00