Commit Graph

16 Commits

Author SHA1 Message Date
TUNG LEDUC 1c3176bf9f [MLIR] Lower ONNX element-wise unary ops: Exp, Tanh, Sinh, Cosh, Sigmoid (#389)
* Lower ExpOp

* Lower ONNXTanhOp

* Lower Exp Tanh, Sinh, and Cosh

* Lower ONNX Sigmoid op

* Merge

* Specialize template lowerScalarOp

* Unify ONNXEWUnaryOpLowering and ONNXEWBinaryOpLowering

* Support multiple types

* Reformat the code

* Add test cases

* Reformat the code

* Change names

* Apply clang-format

* Update variable names
2019-12-21 01:37:29 -05:00
TUNG LEDUC c3ef1d93ae [MLIR] Lower ONNX element-wise binary ops: Mul, Div, Sub, And, Or, Xor (#388)
* Lower ONNX element-wise binary ops: Mul, Div, Sub, And, Or, Xor

* Edit gen_doc.py to avoid changes about AnyTypeOf<[AnyMemRef, AnyTensor]>

* Miss a space

* Add tests

* Shorten ONNXElementWiseBinaryOpLowering into ONNXEWBinaryOpLowering

* Move lowering patterns into runOnModule()

* Redundant space
2019-12-21 01:35:31 -05:00
Tian Jin b2a1103915 [MLIR] Refactor Krnl Dialect and Krnl Dialect Lowering (#375)
* Store bounds as affine map attributes & check in test cases with generic printer

* Upgrading MLIR

MLIR is outdated on Buildbot, rebuilding a newer version.

* work with new version of mlir

* check-in parser tests

* custom printer

* nit

* bug fix

* enable custom asm printer test

* enable custom asm printer test

* more consistent variable naming

* test max/min

* variable naming scheme change to MLIR style

* can lower krnl to llvm

* kernel -> llvm

* comments

* bug fix

* try fixing ci

* fix ci

* deactivate model test

* fix lit test

* nit

* fix z buildbot
2019-12-21 01:34:14 -05:00
GHEORGHE-TEOD BERCEA b02652dd76 [MLIR] Lowering of frontend dialect to KRNL dialect (#382)
* Partial support for lowering operations to KRNL dialect.

* Attempt to lower to KRNL IR.

* Update file.

* Add lowering.

* Address comments. Fix alloc dynamic dimensions. Correctly link StandardOps.

* Temporarily remove deallocation of locally allocated tensors.
2019-12-21 01:11:14 -05:00
Tian Jin 8ea7e34a60 clean up 2019-12-21 00:51:05 -05:00
TUNG LEDUC 53ab014a1d [MLIR] Canonicalization pattern for eliminating identity ops (#377)
* Canonicalization pattern for eliminating identity ops

* Add a test for the identity elimination rule

* Remove frontend from test

* Use CHECK-NEXT instead of CHECK
2019-12-21 00:47:22 -05:00
GHEORGHE-TEOD BERCEA bee32e2041 Fix rebase errors. (#378) 2019-12-21 00:46:29 -05:00
Tian Jin 6c7ff180f9 Update type parser (#376) 2019-12-21 00:43:33 -05:00
Tian Jin 701c7d7508 clean up 2019-12-21 00:41:40 -05:00
TONG CHEN 3f68c5420d [MLIR] generate op from onnx document (#366)
* generate op from onnx document

* Restore FullGemm

* update the op attribute for shape inference and canonicalizer

* Update onnx_canonicalization.mlir
2019-12-21 00:40:40 -05:00
Tian Jin d01ac7732f [MLIR] compartmentalize build script (#369)
* compartmentalize build script, temporarily remove dependency of onnf_opt on helper.cpp

* fix test includes

* fix op directory include

* compiler -> op

* compiler test depends on boost system

* fix function name

* specify libcompiler dependencies

* let cmake take care of transitive dependencies

* remove unnecessary includes

* use ONNF_SRC_ROOT and ONNF_BIN_ROOT

* allow whole-archive linked libraries to be appended

* [MLIR] Support filecheck (#371)

* support lit+FileCheck

* add lit into build script

* format MLIR.cmake

* format cmake

* [MLIR] Remove input/output ops (#372)

* remove input/output ops

* get output tensor type from symbol table
2019-12-21 00:34:51 -05:00
GHEORGHE-TEOD BERCEA dc36fd416b [MLIR] Fix shape inference and enable ONNF to read in MLIR files. (#367)
* Fix inference. Enable ONNF to read in MLIR files.

* Fix input of onnx or mlir models.

* Address comments.
2019-12-21 00:12:27 -05:00
GHEORGHE-TEOD BERCEA 63596e723f [MLIR] Add optimization based on TableGen pattern (#363)
* Define pattern.

* Fix file names.

* Add canonicalizer optimization based on TableGen pattern.

* Remove custom builders.

* Enable canonicalization in ONNF and ONNF-OPT.
2019-12-21 00:04:51 -05:00
Tian Jin 780e6f0aa0 [MLIR] Krnl Dialect Definition (#357)
* a complete, roud-trippable Krnl dialect operation definition

* remove old dialect definition files, edit build files

* register dialect

* check in src for onnf_opt and dimension handler types

* re-trigger jenkins

* fix build

* clarify operation semantics

* add verifier for krnl.iterate

* refactor to make things clear

* do not hard code types

* nit and add comments

* fix rebase

* update op implementation

* fix merge

* update kernel dialect definition

* more comment on how to use the builder for krnl.iterate operation

* ammend the comment

* can parse krnl.iterate

* can parse and print if bounds are not SSA values

* address comments

* better error handling

* Update CMakeLists.txt

* update comment

* reflow comments
2019-12-20 11:37:09 -05:00
GHEORGHE-TEOD BERCEA 03be41f7df [MLIR] Add shape inference pass (#361)
* Add shape inference pass.

* Format code.

* Enable shape inference pass.

* Rename new files to use ONNF convention.

* Use include path from src folder.

* Replace guards with pragma once.

* Format variable names. Shuffle headers.

* Fix comment.

* Fix comments.
2019-12-19 20:14:07 -05:00
GHEORGHE-TEOD BERCEA 958a2fbffc ONNX Dialect creation and registration with MLIR (#358)
* Create and register ONNX Dialect with one Add operation.

* Fix file formatting.

* Change name from ONNX to SGIR.

* Use ONNX dialect. Change SGIR to frontend placeholder dialect.

* Add comments.

* Type clean-up.
2019-12-19 16:56:30 -05:00