* 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>
* 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>
* 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>
* 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>
* 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
* Enable onnx-mlir for VS builds on Windows
* Update README to include lit
* Update build command for Windows to include config
* Update build instructions, add cmd files for windows, enable single source of truth for MLIR commit-id (clone-mlir.sh)
* Add Visual Studio workload info
* Update ONNX op definitions
* Revert onnx submodule back to previous commit, disable warnings in CMakeLists to work around build issues with MSVC
* Update environment for path to PDcurses on Windows
* Fix directory strings to be compatible with Windows or Linux style slashes
* Fix install-mlir.sh so it works when sourced
* Ensure README and cmd files match and have correct paths
* Properly quote ONNX_MLIR_SRC_DIR
* Address PR feedback: Use llvm_unreachable to indicate failure to convert attribute proto to name/value pair
Co-authored-by: Tian Jin <tjingrant@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
Tian Jin
Tung D. Le
Alexandre Eichenberger
David Byrd
Byron Changuion