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67 Commits

Author SHA1 Message Date
Stephan Herhut c44e08351d Fix mhlo to lmhlo conversion for ReduceOp. 
The existing conversion no longer worked and was not save to undo. Furthermore, the pattern for mhlo.return had been removed.

Also adds some tests to ensure this does not degrade again.

PiperOrigin-RevId: 321542071
 2020-07-30 22:34:19 +00:00
A. Unique TensorFlower c8bb0ff54d Integrate LLVM at https://github.com/llvm/llvm-project/commit/f233b92f92a6 
PiperOrigin-RevId: 321454533
 2020-07-30 22:34:14 +00:00
Robert Suderman 98a1e3b108 Add an optimization that converts some Gathers to Slices. 
Some Gathers can be represented as slices. This lowering transforms
these gathers into slices.

PiperOrigin-RevId: 321394868
 2020-07-30 22:34:10 +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
Uday Bondhugula d166b66cba PR #40925: [MLIR] Update lhlo.const to linalg lowering to use affine.store inste… 
Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/40925

…ad of std.store

The xla_lhlo.const lowering uses std.store to store a constant to
0-d memrefs. Update it to affine.store since such an access is trivially
affine (no indices). An affine.store can always be lowered to std.store.
Copybara import of the project:

--
9e18ede72fbbca107177bd742921e4cbf77adc82 by Uday Bondhugula <uday@polymagelabs.com>:

[MLIR] Update lhlo.const to linalg lowering to use affine.store instead of std.store

The xla_lhlo.const lowering uses std.store to store a constant to
0-d memrefs. Update it to affine.store since such an access is trivially
affine (no indices). An affine.store can always be lowered to std.store.

COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/40925 from polymage-labs:lhlo_to_linalg_affine_store 9e18ede72fbbca107177bd742921e4cbf77adc82
PiperOrigin-RevId: 320623152
 2020-07-30 22:33:51 +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
Stephan Herhut c3be2474dd Integrate LLVM at https://github.com/llvm/llvm-project/commit/305b500eaf8c 
PiperOrigin-RevId: 320395881
 2020-07-30 22:33:38 +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 94dcb90d38 Rename xla_chlo dialect into chlo 
Following on the plan of isolating the compiler/mlir/hlo directory.

PiperOrigin-RevId: 320212018
 2020-07-30 22:33:16 +00:00
Mehdi Amini 7c4a5d62b5 Rename xla_lhlo dialect into lmhlo 
Following on the plan of isolating the compiler/mlir/hlo directory.
Another xla_lhlo dialect will be created under compiler/mlir/xla/ later.

PiperOrigin-RevId: 320210326
 2020-07-30 22:33:11 +00:00
Alexander Belyaev b076e018a8 [MLIR][LHLO] Legalize CallOp that call funcs with tensor args/results. 
PiperOrigin-RevId: 320172723
 2020-07-30 22:33:07 +00:00
Alexander Belyaev e8cfdee592 [MLIR][LHLO] Convert mhlo.dynamic_reshape -> lhlo.reshape_memref_cast. 
PiperOrigin-RevId: 320149593
 2020-07-30 22:33:02 +00:00
Alexander Belyaev 8692fde3f9 [MLIR] Convert FuncOp signature with unranked types in HLO->LHLO conversion. 
PiperOrigin-RevId: 320146856
 2020-07-30 22:32:58 +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