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Author SHA1 Message Date
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