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14 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
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