* Reorganize main function.
* Follow review comments.
* Emit constants are globals in Krnl and LLVM dialects.
* Support the bundling on a per-block basis.
* Format.
* Fix test.
* Fix indent.
* Improve data structure.
* Format.
* Simplify maps for static pools.
* Format.
* Clean-up.
* Define krnl.permute op.
* Support krnl.permute operation.
* Properly remove loop references.
* Re-push, Github was down.
* Need to debug interpretOp error.
* Fix lowering bug by erasing ops after full krnl IR interpretation is done, and clean up & comment code.
* Introduce permute, unroll operations.
* More debug.
* Remove std::set.
* krnl.terminate fails to be converted.
* Pass all tests, need to add legal ops as well as part of the conversion target.
* Change test format to new permute spec.
* Bug fix for nested iterate op lowering.
* Simplify error reporting.
* Fix compilation error.
* Increase comments coverage.
* Remove unnecessary imports.
* Re-trigger Jenkins
* Add permute/unroll tests.
* Retrigger Jenkins
* changes to support negative indices
Signed-off-by: Alexandre Eichenberger <alexe@us.ibm.com>
* use krnl.dim now
Signed-off-by: Alexandre Eichenberger <alexe@us.ibm.com>
* move comment
Signed-off-by: Alexandre Eichenberger <alexe@us.ibm.com>
* updated test for krnl-dim pattern
Signed-off-by: Alexandre Eichenberger <alexe@us.ibm.com>
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* NFC: Attribute cleanup (remove references of attributes) (#286)
* Define krnl.permute op.
* Support krnl.permute operation.
* Properly remove loop references.
* Re-push, Github was down.
* Need to debug interpretOp error.
* Fix lowering bug by erasing ops after full krnl IR interpretation is done, and clean up & comment code.
* Introduce permute, unroll operations.
* More debug.
* Remove std::set.
* krnl.terminate fails to be converted.
* Pass all tests, need to add legal ops as well as part of the conversion target.
* Change test format to new permute spec.
* Bug fix for nested iterate op lowering.
* Simplify error reporting.
* Fix compilation error.
* Increase comments coverage.
* Remove unnecessary imports.
* Re-trigger Jenkins
* Add permute/unroll tests.
* Retrigger Jenkins
* remove & (ref) for Attributes
Co-authored-by: Tian Jin <tjingrant@gmail.com>
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* Syntax highlighting for mlir code in README (#276)
* Syntax highlighting for mlir code in README
* Restart Jenkins
Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
Co-authored-by: Alexandre Eichenberger <alexe@us.ibm.com>
Co-authored-by: Tian Jin <tjingrant@gmail.com>
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* use print not dump
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* add semicolon
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* syntax
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* add code to preserve locations
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* format
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* Emit the dynamic memory pool (#290)
* Reorganize main function.
* Follow review comments.
* Emit constants are globals in Krnl and LLVM dialects.
* Add support for bundling dynamic memory pools.
* Add dynamic bundling.
* Clean-up code.
* Clean-up file.
* Add test for bundling dynamic memory pool.
* Fixes. Simplify data structure. Add mixed test.
* Remove unused import.
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* Fix wrong type for llvm::loadop (#293)
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* Update llvm commit ID to 1d01fc1 (#292)
* Fix for LLVM revision D85495
* Fix for LLVM revision DD86121
* Fix for LLVM revision D85622 (f9dc2b7)
TODO: Change preloadDialectsInContext to false
Memo for previous fixes: D86121 (250f43d), D85495 (575b22b)
* clang-format
* Update llvm commit ID of README and clone-mlir.sh
* Updated llvm commit ID of README.md
* Fix for passing backend tests
* Removed the commented code
* Empty commit for triggering rebuild
* Test multi-stage travis build
* Specify stage order.
* Empty commit for triggering rebuild
* Update prereq.s390x.Dockerfile
Make it possible to execute s390x prereq docker multiple times.
* Build prereq for each arch
* Fix multi-arch prereq build.
* timeout at 40m
* Update .travis.yml
* add ppc64le prereq builder
* Run ppc docker prereq build multiple times
* Do not test branch update unless it's mater.
* Fix dockerfile.
* Fix typo in travis.yml.
* Fix ppc64 docker file
* Update .travis.yml
* turn off metacopy on ppc64le
* Update .travis.yml
* Turn off metacopy.
* Turn off metacopy inside Dockerfile in ppc64.
* No sudo in Docker.
* Remove metacopy config from Dockerfile.
* Change base image to be bionic.
* Using newer linux distro for ppc64.
* Turn off metacopy in before_install.
* Fix sudo permission issue.
* Run docker info.
* Allow amd64 docker file to be built multiple times
* Support building amd64 prereq.
* Fix amd64 docker file typo.
* fix ppc64le dockerfile typo.
* timeout from 40m -> 30m
* 40m->30m
* 40m->30m
* fix bug preventing incremental build.
* fix bug preventing incremental build.
* Bump CircleCI cache version.
* Push to production prereq container repository and condition prereq docker rebuild on commit message.
* Rebuild prereq docker.
* Move default script to top-level.
* Python not properly installed.
* amd64 -> x86
* Rebuild prereq docker.
* Rebuild prereq docker.
* Rebuild prereq docker.
* Restart all CI.
* Disallow cache on Jenkins docker build.
* Restart zJenkins.
* Restart zJenkins.
Co-authored-by: Haruki Imai <imaihal@jp.ibm.com>
Co-authored-by: Alexandre Eichenberger <alexe@us.ibm.com>
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* Using onnx-mlir through incremental stages (#257)
* Add lowering of Vector dialect for lower-all-llvm pass
* Fix generating CallOp instructions when return type is void
* Fix lowering of memref
* Reformat using clang-format
* Record more context.
* Reflow comments.
Co-authored-by: Tian Jin <tjingrant@gmail.com>
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* Dropout elimination & Conv Bugfix (#297)
* Dropout elimination.
* Test VGG19.
* Add shufflenet.
* Fix grouped convolution bug.
* Fix lit test failure.
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* Rewrite shape and size OP (#285)
* add shape inference
* Revert "add shape inference"
This reverts commit f9d42f39e68e14b5648abccfc8617fff00244d16.
* add rewrite rules
* test cases
* format
* add constraint
* response to review
* response to review
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* initial code for handling custom ops (#288)
* initial code for handling custom ops
* format
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* ShapeInference for SizeOp (#299)
* add shape inference
* Revert "add shape inference"
This reverts commit f9d42f39e68e14b5648abccfc8617fff00244d16.
* shape inference
* test case
* format
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* Gather ONNX to Kernel Lowering (#294)
* Define krnl.permute op.
* Support krnl.permute operation.
* Properly remove loop references.
* Re-push, Github was down.
* Need to debug interpretOp error.
* Fix lowering bug by erasing ops after full krnl IR interpretation is done, and clean up & comment code.
* Introduce permute, unroll operations.
* More debug.
* Remove std::set.
* krnl.terminate fails to be converted.
* Pass all tests, need to add legal ops as well as part of the conversion target.
* Change test format to new permute spec.
* Bug fix for nested iterate op lowering.
* Simplify error reporting.
* Fix compilation error.
* Increase comments coverage.
* Remove unnecessary imports.
* Re-trigger Jenkins
* Add permute/unroll tests.
* Retrigger Jenkins
* initial implementation of gather
* added tests
* format
* remove affine load for second load, as it uses an indirection
* changes suggested by reviewers
* remove backend tests until I can verify them locally
Co-authored-by: Tian Jin <tjingrant@gmail.com>
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* add lit test
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* fix option spelling
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* braces in wrong place
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* add lit test
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* remove duplicate code from lit test Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* Simplify lit test Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* remove attributes from lit test Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* add onnx-mlir-opt to tool names
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* add printIR to second RUN
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* redo adding printIR
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* fix bug
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* format
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
* fix typo in test
Signed-off-by: Kevin O'Brien <caomhin@us.ibm.com>
Co-authored-by: Alexandre Eichenberger <alexe@us.ibm.com>
Co-authored-by: Tian Jin <tjingrant@gmail.com>
Co-authored-by: Tung D. Le <tung@jp.ibm.com>
Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
Co-authored-by: Haruki Imai <imaihal@jp.ibm.com>
Co-authored-by: Kevin Wu <6334443+kwu91@users.noreply.github.com>
Co-authored-by: chentong319 <chentong@us.ibm.com>
* Update to support LLVM as of 7dcd0042
Fixes for upstream changes to mlir.
- New pass registration method from https://reviews.llvm.org/D85622
- Integer attributes are now C types when possible https://reviews.llvm.org/D86739
Signed-off-by: Nathaniel McVicar <namcvica@microsoft.com>
* Fix for checkclang
* Windows incremental build fix from @max-ku
* Remove MLIRShapeToSCF lib
* Missed a getSExtValue on now c type
* Rebuild prereq docker.
* Bump CircleCI cache version.
* Update hash for Windows build
Signed-off-by: Nathaniel McVicar <namcvica@microsoft.com>
* Bump CircieCI cache version again.
* Rebuild prereq docker.
* Update README.md
* Update README.md
* Undo edits to ONNXOps.td.inc.
* Undo changes to ONNXOps.td.inc.
* Fix cast op TableGen.
* Tweak tablegen definition of Cast.
* Use explicitly signed integer as attributes.
* Move all signless attribute to explicitly signed attribute.
* Import ONNX int attribute as SI64 attribute.
* Make Conv.group attr use SI64 attr.
* Fix conv test.
* Fix DocCheck complaint.
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* [MLIR] Add SizeOp conversion from ONNX dialect to Krnl dialect
Added ONNXSizeOp conversion from ONNX dialect to Krnl dialect. This op is added as a part of --convert-onnx-to-krnl pass.
Signed-off-by: Prashant Kumar <pk5561@gmail.com>
* Add unit tests for Size op.
* Remove unit tests.
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* Define krnl.permute op.
* Support krnl.permute operation.
* Properly remove loop references.
* Re-push, Github was down.
* Need to debug interpretOp error.
* Fix lowering bug by erasing ops after full krnl IR interpretation is done, and clean up & comment code.
* Introduce permute, unroll operations.
* More debug.
* Remove std::set.
* krnl.terminate fails to be converted.
* Pass all tests, need to add legal ops as well as part of the conversion target.
* Change test format to new permute spec.
* Bug fix for nested iterate op lowering.
* Simplify error reporting.
* Fix compilation error.
* Increase comments coverage.
* Remove unnecessary imports.
* Re-trigger Jenkins
* Add permute/unroll tests.
* Retrigger Jenkins
* initial implementation of gather
* added tests
* format
* remove affine load for second load, as it uses an indirection
* changes suggested by reviewers
* remove backend tests until I can verify them locally
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* Define krnl.permute op.
* Support krnl.permute operation.
* Properly remove loop references.
* Re-push, Github was down.
* Need to debug interpretOp error.
* Fix lowering bug by erasing ops after full krnl IR interpretation is done, and clean up & comment code.
* Introduce permute, unroll operations.
* More debug.
* Remove std::set.
* krnl.terminate fails to be converted.
* Pass all tests, need to add legal ops as well as part of the conversion target.
* Change test format to new permute spec.
* Bug fix for nested iterate op lowering.
* Simplify error reporting.
* Fix compilation error.
* Increase comments coverage.
* Remove unnecessary imports.
* Re-trigger Jenkins
* Add permute/unroll tests.
* Retrigger Jenkins
* transpose fusion and removal
* format
* fix comments
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* Add shape inference and names
- Add shape inference for PRelu
- Fix shape inference for group conv
for ConvTranspose
- Add input and output names for
graphs (functions)
- Add support for (u)int8 tensor
attributes
* Fix format issues
* Revert formatting for gen_onnx_mlir.py
* Pads can have ArrayAttr and DenseElementsAttr so support both
* NumInputs is the number of graph inputs that don't have initializers
* Add test for 2D batchnorm
* Fix typo in define_loops in new 2d BN test
* Change 'name' to 'onnx_node_name'
* Fix Batchnorm for 2D I/O and add lowering test
Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
* Rewriting rule
* Fix formulas
* Reuse op results
* Const propagation for Div and Sqrt
* Explicitly use ONNXConstantOp
* Minor revise
* Const propagation for unsqueeze
* Do const propagationnce all tensors have inferred shapes
* LIT tests for fusion
* Add LIT tests for constant propagation on Div, Sqrt, and Unsqueeze
* Missing dash
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* move scalerop to decompose
* change clang format
* change clang format
* add shape inference for scaler op
* fixing generated onnxop
* generate onnx.md
* redo get onnx.md and onnxop.td.inc using onnx 1.6
* Add shape inference for scaler op
* add benefit for scaler decompose and simplify scaler shape inference
* add scaler decompose benefit num and simplify shape inference
* add cast builder
* cast rewrite only for float
* add cast op same type rewrite rule
* working on cast lowering
* cast lowering working
* add cast lowering
* fix format
* Delete OpBuildTable.inc
* complete requested changes
Co-authored-by: chentong319 <chentong@us.ibm.com>
* Reorganize main function.
* Follow review comments.
* Emit constants are globals in Krnl and LLVM dialects.
* Make mempooling more robust.
* Fix.
* Update MainUtils.cpp
Additional canonicalization not required anymore.
* move scalerop to decompose
* change clang format
* change clang format
* add shape inference for scaler op
* fixing generated onnxop
* generate onnx.md
* add benefit for scaler decompose and simplify scaler shape inference
* cast rewrite only for float
* add cast op same type rewrite rule
* working on cast lowering
* cast lowering working
* correct onnx version
* update onnx md
* add test for tensor<10xf64>
* Add shape inference for Ops used by BERT
* Erf
* Pow
* ReduceMean
* Dropout
* Expand
https://github.com/onnx/onnx/blob/master/docs/Operators.md#expand
Deduce the value of the shape operand by looking at the producer
of the operand.
Currently supported producers are: onnx.Constant and onnx.Shape.
* Add corresponding tests for each op.
* Sort the list of ops with shape inference in gen_onnx_mlir.py
in alphabetic order for clarity.
* Restart CI
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* base implementation
* add example
* change table gen
* docs
* small change for review
Co-authored-by: Alexandre Eichenberger <alexe@us.ibm.com>
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* move scalerop to decompose
* change clang format
* change clang format
* add shape inference for scaler op
* fixing generated onnxop
* generate onnx.md
* add benefit for scaler decompose and simplify scaler shape inference
* cast rewrite only for float
* add cast op same type rewrite rule
* fix format
Co-authored-by: chentong319 <chentong@us.ibm.com>
* move scalerop to decompose
* change clang format
* change clang format
* add shape inference for scaler op
* fixing generated onnxop
* generate onnx.md
* Add shape inference for scaler op
* add benefit for scaler decompose and simplify scaler shape inference
* Reorganize main function.
* Follow review comments.
* Emit constants are globals in Krnl and LLVM dialects.
* Add support for moving dynamic alloca instructions to top of functions.
* Fix memory pooling tests.
* Various fixes.
* Fix lit tests.
* More test fixes.
* Reformat.
* Reformat some more.
* Fix issue with TestConv and split-input-file.
* Use smart pointers.
* Remove redundant pointer.
* Reformat.
* Add initMap description.
* Clean up tests.
* Remove optimize_loops/return_loops op in elementwise ops lowering and fix tests in onnx_lowering.mlir.
* Fix all tests.
* Remove all occurences of def_loops/return_loops.
* Fix test.
* Fix comments for defineLoops & emitKrnlLoopsAndIterationForOperand function.
* Remove emitOptimizedLoops.
* Allow not specifying optimizedLoops when creating KrnlIterateOperandPack.
* Fix style.
* Make BuildKernelLoop helper not emit optimize/return_loop operations & retire emitKrnlLoopsAndIterationForOperand by replacing it with BuildKernelLoop.
* DefineLoops -> DefineLoopsEx, remove redundant emitKrnlLoopsAndIterationForOperand function.
* BuildKrnlLoop API name update.
* Tweak comments.
* Remove unused withEmptyOptimization flag.
* Better comment for BuildKrnlLoop.
* Fully remove krnl.return_loops/optimize_loops op.
* Trigger Windows Build
* Bump windows ci python version.
* Move to more recent LLVM ID (May 15)
* clang-format
* Bump cache version up
* Update readme
* Fix doc check
* Move to a newer commit id
* Update LoopToStandard -> SCFToStandard
* Change MLIRSideEffects to MLIRSideEffectInterfaces
* Add AffineScope trait to KrnlIterateOp
* [ElementWise] Load/Store op to AffineLoad/AffineStore op
* [Gemm, MatMul, Reduction, Softmax] Load/Store op to AffineLoad/AffineStore op
* [Concat] Load/Store op to AffineLoad/AffineStore op
* [Pad, PadConstantValuePad, Reshape, Transpose] Load/Store op to AffineLoad/AffineStore op
* [LSTM] Load/Store op to AffineLoad/AffineStore op
* [Conv, Norm, Pooling] Load/Store op to AffineLoad/AffineStore op
* Add affine-loop-fusion pass
* Use Load/Store for scalar
* Use Load/Store for scalar
* Fix lit tests
* Unknown dimensions for broadcasting ops
* Affine Load/Store for scalar memref
* clang-format
Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* Lower Squeeze op to Krnl dialect
* Emit tensor size as a single constant; add a lit test for unknown dimensions
* Code style
* Speical case where the input is only used by this squeeze op
* Remove squeeze-in-place optimization
* Update ConvertONNXToKrnl.cpp
Twek to re-run tests.
* Trigger buildbot re-run.
* Re-run CI
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* string type from tensorflow
* simplify type
* parser and print
* gen StringType for tablegen
* onnx to onnx-mlir type
* add namespace
* allow all integer type
* dialect document
* add test case
* format
* more precise type for ONNXOp
* format
* enable the failed test
* update comment
* update onnx.md
Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
* support map and seq in tablegen
* register MLONNX for testing
* format
* remove the unwanted test
* add a test
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* initial const prop attempt
* added support for broadcast ops
* adde all binary broadcast ops into custom builders with precise type
* added test example
* working
* format
* fixed suggestion by Tung, start woring on unary
* added subtraction and neg the right way, and added elementwise mul too
* formatting changes
* format
* format
* added instructions to add new optimizations
* added propagation rules that always migrate constants toward the root of the expression, using assoc and commutativity
* format comment
* PoC works.
* MNist works.
* Clean up.
* Fix test.
* Make Linux work.
* Use consistent symbol name.
* Fix variable name.
* Fix array addr access.
* Bug fix.
* Bug fix.
* install before running e2e tests.
* Fix build config.
* Use sudo when installing.
* Make embeddedDataLoader position independent.
* Enable ResNet50.
* Format code.
* Format MainUtil.
* Try not using sudo to install.
* Supply runtime dir via environment variable.
* Dump problematic operation.
* Dump entire function.
* Debug.
* Dump input.
* Dump constant op.
* Debug.
* Debug.
* Debug.
* Print to stderr.
* take care of endianness.
* Use endianness-aware execution session.
* Fix ZLinux error.
* Include warning when desired output endianness can't be deduced.
* Remove debug code.
* Remove debug code in shape inference.
* Support binary-decoder for testing constants packing.
* Support filename, move-to-file, elision-threshold configurations in constant packing pass for easy testing.
* Add lit test, fix lit test type mismatch.
* Add more consts packing tests.
* Ensure intermediate files are properly cleaned up.
* No need for constant elimination.
* Link with threading libraries.
* Remove debug code.
* Format code.
* More tests.
* test nit.
* Remove debug code.
* Reduce hard-coded constants.
* Use temporary and unique working directory for hosting model parameters.
* Test if it works.
* Try to find objcopy.
* Rename symbols using objcopy.
* Move sanitized name to linux section.
* Use verbose mode for debugging.
* Disambiguate pass constructor.
* Fix symbol name.
* Use Command API to build and execute commands.
* Move linux to use Command API.
* Fix reset args.
* Execute redefine sym.
* Format code.
* Do not use verbose mode for CircleCI.
* Remove debug code.
* Prettify code, add comments.
* getSegmentData -> getEmbeddedConstPool
* vector -> std::vector.
* Make sure we properly clean up intermediate files.
* Fix test cases.
* Add runtime directory.
* Trigger rebuild.
* [Merge with master] fix debug script.
* Diable affine fusion pass for now.
* Support generic fallback const packing mechanism.
* Remove debug code.
* Handle the case where objcopy is not available.
* Fix Windows missing types.
* Support int64.
* Copy packed constant to a local directory for non-Linux/Mac platforms.
* Nit: remove debug code, refactor const pack preprocessing out as a separate function.
* Cannot make preprocessConstPack a standalone function because file removers are stack-allocated, and they are deallocated prematurely when function stack gets popped, deleteing intermediate files too early.
* Don't require executable filename.
* Import ONNX data types directly.
* Fix LIT test.
* Bug fix, use moved string value.
* Remove redundant filenames.
* Fix CMake script.
* Embed endianness information as a symbol, and check during runtime.
* More comments, update lit tests.
* Fix lit test on BE machine.
* Copyright notices.
* Reorganize main function.
* Follow review comments.
* Emit constants are globals in Krnl and LLVM dialects.
* Replace internal malloc with memory pool and getref instruction.
* Lower krnl.getref to LLVM.
* Fix formatting issues.
* Add tests.
* Add missing dependency.
* Improve LLVM lowering.
* Add test to show getref is generic.
* 1. Add shape inference for the following ops:
- Atan
- Tan
- Sin
- Cast
- ConvTranspose
- Flatten
- DynamicQuantizeLinear
- QuantizeLinear
- DequantizeLinear
- ConvInteger
2. Import attributes for generic nodes
3. Fixes for cases where .cast<> should be .isa<> (ONNXConcat::inferShapes)
* Fix foormatting issues
* Address comments:
- SmallVector<> * -> SmallVectorImpl<> &
- switch-case -> helper function
- Inside helper function, preserve signed-ness
- add TODOs
* Can't use signed integers yet in convertONNXTypeToMLIRType, add TODO
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* initial const prop attempt
* added support for broadcast ops
* adde all binary broadcast ops into custom builders with precise type
* added test example
* working
* format
* fixed suggestion by Tung, start woring on unary
* added subtraction and neg the right way, and added elementwise mul too
* formatting changes
* format
* format
* added instructions to add new optimizations
* enable promote attr for pad
* use optional arguments for pad
* shape infereance for pad
* Lowering Pad
* format file
* use DenseTensor for the attribute
* use Pad in ONNXRewrite
* fix the merge conflict
* fix the attr given to constantOp
* handle ONNXConstantOp in attribute promotion
* Fix bug when AttributePromotion is called more than once
* update ONNXOps.td.inc with correct version of onnx
* update onnx.md
* responses to review
* fix the build error
* change the implementation of Pad
* delete commented out code
* clang format
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* Use AffineMap
* Shared AffineMap
* AffineMap for Conv/Pooling
* Create helper files
* Remove changes for Relu
* Remove redundant includes
* Use AffineMap for AveragePool's shape inference
* Add MLIR tests for unknown dimension case
* Extract a method AffineMapIntConstant
* Comment stylist and include path
Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
* Specialize the op lowering logic for elementwise operations
* Fix clang-format error.
* Update tests for LSTM since LSTM uses element-wise ops
Co-authored-by: Tian Jin <tjingrant@gmail.com>
Gheorghe-Teodor Bercea
chentong319
Alexandre Eichenberger
Tian Jin
Kevin O'Brien
NathanielMcVicar
Prashant Kumar
Tung D. Le
Aman LaChapelle
Anh Leu
albertomagni-ms
Anh Leu
Aaron Smith