* 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.
* Support encoding data type infomration as part of the DMR struct.
* Support full range of np types.
* Report error when encountering unsupported type.
* Add gerRank method API.
* Add missing API declarations.
* DynMemRef -> RtMemRef
* Format code.
* Missed DynMemRef -> RtMemRef conversion.
* More comments for RMR, and rename variable names from dmr -> rmr.
* DynMemRef -> RtMemRef.
* Format code.
* Support krnl.block printing/parsing.
* Checkpoing, PoC working.
* Implement krnl.block operation.
* Make tuple -> make pair.
* Bug fix, white list krnl.iterate op while lowering.
* Add return loop op lowering.
* Bug fix.
* Allow using loop refs more than once if they are used by krnl.iterate op.
* More comments and include lit test.
* Make krnl.block definition more restrictive.
* Splitting tests creates modules, making affine_map matching more verbose, prefer not splitting since test cases are small.
* Use verbose mode for LIT test on Z.
* Use verbose build to diagnose.
* Missing libraries linking when building in shared mode.
* Fix whole-archive linkage.
* Try preloading affinetransforms.
* Try put AffineTransforms into LD_LIBRARY_PATH.
* Fix python syntax error.
* No need to link with whole-archive libs, as they are pre-loaded.
* Do not preload any library.
* Link with whole-archive libs.
* Explicitly shared linkage in CMake.
* Fix CMake syntax error.
* Restore test.py
* Update z13.sh
* Update z13.sh
* Provide krnl.block operation description.
* Explicit pass registration.
* Remove whole-archive linking, replace with regular linking.
* Remove whole-archive linkage related scripts.
* No need to preload library, simply expose them through LD_LIBRARY_PATH.
* Use OMLibs to record all onnx-mlir libs.
* Add OMResultTypeInferenceOpInterface lib to OMLibs.
* nit.
* No need to expose libs through LD_LIBRARY_PATH.
* Fix missing onnx header file issue.
* Define OMLibs before Tool subdirectory is imported.
* Define OMLibs at parent scope.
* Specify dependency of MainUtils on OMLibs early.
* Set OMLibs both at current & parent scope.
* Add comment about what future pass implementation should do.
* 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>
* Detect llvm-project commit change in utils/clone-mlir.sh and rebuild llvm-project
for zLinux Jenkins build bot
* Since many headers are generated and included indirectly through
other headers, there are often missing dependencies that break
parallel build. So we add header targets for KrnlOps, ONNXOps, and
MLONNXOps, and add explicit dependencies for all the relevant headers.
* fix copy-and-paste bug
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
* Call llc, ld from within onnx-mlir.
* Rename EmitLLVMBC -> EmitLib., reorder header files
* Edit comment.
* Checkpoint, debug.py works.
* Automatically generate inputs in debug.py.
* Use float.
* initial support for rapidcheck tests.
* Convolution test case works.
* Format code.
* Link library with MainUtils.
* Fix CMake script error.
* Fast implementation of array assertion, more detailed error analysis.
* More utility for DynMemRef.
* Fix linking issue.
* Uncomment unit test.
* Refactor to separate C++/Python ExecutionSession, enable unit test.
* format code.
* Verbose build.
* Enable PIC option for ExecusionSession.
* Fix cmake error.
* Build all targets.
* Fix doc to build all targets.
* Clean up.
* Clean up, debug.
* Use type alias consistently.
* Move definitions to DynMemRef.cpp.
* include algorithm.
* pyruntime -> PyRuntime
* Format code.
* Free memory.
* Add comments.
* Copyright notice.
* Improve stylistic consistency.
* Add comment.
* Revert irrelevant changes.
* Disambiguate.
* Refator test case generator out from test case implementation, implement example exhaustive test driver.
* Add documentation for testing.
* Add type inference for CastOp
* Share type translation between op builder and onnx importer
* clang-format
* Format emitted code
* Remove unnecessary dependencies
* removed warning missing return, dangling else
* fixed errors, made sure to return false in all shape inference failures
* shape inference use LogicalResults as return value
* format fixed
* format error
* additional error correction
* handle errors properly for all former emitError site, using either emitError, assert, or llvm_unreachable
* help added
* fixes
* edit of doc
* doc edit
* removed warning missing return, dangling else
* fixed errors, made sure to return false in all shape inference failures
* shape inference use LogicalResults as return value
* format fixed
* format error
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* Call llc, ld from within onnx-mlir.
* Rename EmitLLVMBC -> EmitLib., reorder header files
* Checkpoint, debug.py works.
* Automatically generate inputs in debug.py.
* Use float.
* Fix merge conflict, remove RapidCheck from this patch.
* Remove submodule rapidcheck properly.
* Reformat code.
* More comments.
* Add documentation.
* Add documentation to navigation.
* Account for the fact that some initializers may also appear as input.
* 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
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* 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>
* Run clang-format on all source code.
* Add Clang-Format Github Action.
* Apply patch produced by Clang-Format Bot.
* nit.
Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
* Support dilations and enable e2e tests
* Fix allocating memory for dynamic shape
* Edit comments
* Do dilation by computing an offset from kernel index
* Correct dilation formula, add an example of out-of-bound, and add a test for dilation
* Import optional outputs as NoneType
* Shape inference for ONNXLSTM
* Edit ONNXLSTM::inferShape()
* Shape inference for ONNXLSTMOp
* Create a common function for inferring shape for RNN ops
* CheckInsertDeallocation for a specific result
* Allocate memory for LSTM
* First round of lowering
* Allocate memory for hidden and cell states
* Test with custom Tanh
* Fix an error in Ct's formula
* Add E2E tests
* Return outputs
* Refactor the code
* Enable E2E tests
* Support reverse and bidirectional directions
* Minor revision
* Return all intermediate hidden states
* Call existing activation functions
* Structs for activation functions
* Call existing activations in ONNX
* Minor revision
* Compare strings ignoring case
* Use memreftype of rank 0 for calling activation functions
* Fix getActivationPack()
* Revise the code
* Add one MLIR test
* Add MLIR tests for reverse and bidirectional modes
* Make the order of emiting instructions deterministic
* Use OperandAdaptor instead of directly use an operand index
* Use literal assignments
* Change some variable names
* Use literal assignments
* Use literal assignments
* Format the code
Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
* Implement shape inference for SplitOp
* Change spitOpt to SplitAttribute and check the axis range before updating the axis attribute
Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
* target_link_libraries(OMElideKrnlGlobalConstants ...) adds duplicated
../lib/libOMKrnlOps.a ../lib/libOMONNXOps.a at end of linkage for onnx-mlir
and breaks shared library build
* Fix .buildbot/z13.sh to prepare for zLinux Jenkins build bot
Co-authored-by: Gong Su <gong_su@hotmail.com>
* Make onnx-mlir work with latest mlir.
* Bump CircleCI cache version.
* Fix missing passes in onnx-mlir-opt.
* Fix backend test failure.
* Fix doc.
* Fix doc and exclude the generated _site directory from DocCheck.
* Remove debug code.
* Do not hard code target name, on Mac shared lib can end with .dylib.
* FunctionPass -> PassWrapper.
* Reorganize main function.
* Follow review comments.
* Emit constants are globals in Krnl and LLVM dialects.
* Output of non-value constants. Write full source to file.
* Fix e2e tests.
* Output constant free and full code in separate files.
* Emit separate files.
* Move file output management to utils.
* Elide the values of glotbal krnl constants.
* Add dual file output for Basic flag.
* Add tests.
* Add passes to cmake file.
* Create a template for pooling and add support for AveragePool
* Edit MLIR tests for MaxPool according to the new lowering template for pooling
* Dealloc temporary variables
* Support count_include_pad for AveragePool
* Add MLIR tests for AveragePool lowering
* Make changes according to Tian's comments
* Push AffineMap as upper bound for KrnlIterateOp
* Test AffineMap to use in Pooling
* Replace the old implementaion by a new one using AffineMap
* Fix the computation when dilations are non-unit
* Clean up the old code
* Remove AveragePool from Canonicalization pass
* Fix computing the end indices of a filter window
* Refactor the code for pooling
* Revise pushAffineMapBound
* Add MLIR tests
* Remove unused functions
* Fix check-onnx-backend build on x86 Linux. (#91)
* Add the split marker to test files (#90)
Co-authored-by: Tian Jin <tjingrant@gmail.com>
Co-authored-by: gongsu832 <gong_su@hotmail.com>
Co-authored-by: Tian Jin <tjingrant@gmail.com>
* Specify each lib only once; allow llvm build in shared libs mode.
* Remove debug code.
* For library targets, retain dependency information using add_dependencies, but do not link using taget_link_libraries.
* Do not set LD_PRELOAD by default.
Co-authored-by: Gong Su <gongsu@us.ibm.com>
Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
* Bug fix, ensure krnl.iterate can lower in the degenerate case.
* Fix parser issue with degenerate iterate op.
* Add a test case.
* Remove dead code.
Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
* Move to more recent LLVM commit ID
* Update LLVM cache version from V9 to V10
* Update to latest LLVM commit id from master, roll back conditions in util scripts
* Update circlci LLVM cache tag to ensure ci updates builds with latest LLVM commit id
* Update README.md to have matching LLVM commit id
* Update doc/Dialtects/onnx.md
* 1.Break down CMake scripts to smaller libraries per-directory.
2. Move some transformations and interfaces to the right folder.
3. Fix minor merge failure of the patch renaming files to use LLVM convention.
* Link OMBuilder with OMONNXOps.
* 1. Update the src location of generated ONNX dialect definition.
2. Link OMONNXRewrite with OMONNXOps.
* Fix path to tablegen for add_onnx_mlir_dialect_doc.
* Update build script for onnx_mlir_transform.
* 1. Remove comment code.
2. onnx_mlir_attribute_promotion -> OMAttributePromotion.
* Name tablegen generated files with LLVM convention.
* Nit: reorder libraries to link against.
* Nit: Link against MLIR first.
Anh Leu
Gheorghe-Teodor Bercea
Anh Leu
Tian Jin
Aaron Smith
Alexandre Eichenberger
Tung D. Le
Aman LaChapelle
gongsu832
chentong319
David Byrd
Byron Changuion