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15 Commits

Author SHA1 Message Date
Haruki Imai 7e3f96e642 [MLIR] Add support for Reciprocal (#397) 
* Added support for Reciprocal

* Fixed format
 2019-12-21 02:07:44 -05:00
GHEORGHE-TEOD BERCEA e81a7654f9 [MLIR] Add support for reshape (#390) 
* Add reshape op handling.

* Lower reshape to KRNL dialect.

* Add comments.

* Propagate reshape to KRNL IR.

* Lower KRNL reshape to affine and standard ops level dialects.

* Add lowering of reshape operation to Krnl and LLVM Dialects.

* Add test for LLVM IR dialect output for reshape.

* Fix rebase.

* Fix test variable.

* Emit errors during reshape shape inference. Address other reviewer comments.
 2019-12-21 02:06:14 -05:00
TUNG LEDUC 5ed79083d5 [MLIR] Add support for Max, Min, Sum, Elu, Selu, LeakyRelu, HardSigmoid (#395) 
* Lower ONNXSumOp

* Add inferShapes() and test cases

* Load the first operand to the result

* Update SharingWork.md

* Update SharingWork.md

* Update SharingWork.md

* Add support for Max, Min

* Pass operation instead of location to mapToLowerScalarOp

* Add support for Elu, Selu, LeakyRelu, HardSigmoid

* Add test cases

* Update SharingWork.md

* Rewrite the part of lowering variadic ops and use it for binary ops

* Use two diffenrent templates for Unary and Variadic Ops

* Revise the code
 2019-12-21 02:02:09 -05:00
TUNG LEDUC 45608282e0 [MLIR] Add support for Relu (#392) 
* Add support for Relu

* Add comments
 2019-12-21 01:38:16 -05:00
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
Tian Jin 0048f2fd86 clean up 2019-12-21 01:36:03 -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
GHEORGHE-TEOD BERCEA 7fb2f80dce [MLIR] Add support for dealloc insertion (#386) 
* Add support for dealloc op.

* Check dealloc for returned result not present.
 2019-12-21 01:34:48 -05:00
GHEORGHE-TEOD BERCEA 652ce4b7d4 Add test for checking lowering of Add op to KRNL IR (#385) 
* Add test for checking lowering of Add op to KRNL IR.

* Add test file.
 2019-12-21 01:20:36 -05:00
TUNG LEDUC d61cf35471 [MLIR] Add one more test case for MatMul-Add fusion (#380) 
* Add one more testcase for matmul-add fusion

* Code format for identity elimination testcase
 2019-12-21 00:51:54 -05:00
Tian Jin 004762c13d [MLIR] Remove module from test (#379) 
* Remove module from test

* Update onnx_canonicalization.mlir
 2019-12-21 00:51:23 -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
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