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16 Commits

Author SHA1 Message Date
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
Kazuaki Ishizaki 882468da13 PR #41662: NFC - minor spelling tweaks 
Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/41662

This PR addresses minor spelling tweaks in documents
Copybara import of the project:

--
b806191a117990a479944b40ec7a4b79843287a2 by Kazuaki Ishizaki <ishizaki@jp.ibm.com>:

fix trivial typo

COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/41662 from kiszk:spelling_tweaks_docs b806191a117990a479944b40ec7a4b79843287a2
PiperOrigin-RevId: 322955351
 2020-08-03 19:23:45 -07:00
Robert Suderman c23ad602c8 Add a transform for Gathers to torch_index_select. 
Some gathers can be interpreted as torch index selects. Transforming these
cases allow torch_index_select lowerings to be used for certain gathers.

PiperOrigin-RevId: 322255835
 2020-07-30 22:34:32 +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
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
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
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 e8cfdee592 [MLIR][LHLO] Convert mhlo.dynamic_reshape -> lhlo.reshape_memref_cast. 
PiperOrigin-RevId: 320149593
 2020-07-30 22:33:02 +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 31dc1b21eb Move XLA-independent transforms to the new MLIR-HLO directory 
This is as straighforward as possible, more cleanup/rewrite to come.

PiperOrigin-RevId: 319849713
 2020-07-30 22:32:40 +00:00
Alexander Belyaev 72010faaa7 [MLIR][LHLO] Add ReshapeMemrefCastOp to LHLO. 
PiperOrigin-RevId: 319799171
 2020-07-30 22:32:36 +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