* Add dialect documentation.
* Add a step in our CI to ensure documentation is up-to-date.
* Add dialect documentation.
* Fix config file mistake, using multi-line commands.
* Fix a bug in DocCheck.
* Sync with latest MLIR.
* Enable ONNX backend tests as a means to test ONNF lowering end-to-end.
* Install ONNX using quiet mode.
* Remove debug comments.
* Install ONNX from third_party/onnx.
* Check python version and fix pip command for installing ONNX.
* Using --user install option to prevent permission denied.
* Remove unused imports.
* Try using stock ONNX pip package as there are more tests in them.
* Pip got stuck building wheels, try sudo.
* Use verbose install to debug.
* Invalidate cache to build LLVM tools.
* Fix mlir installation script location.
* Debug to locate ONNF.
* Sanity check.
* Check out ONNF code first.
* Use verbose LIT output.
* 1. Update documentation to always use verbose LIT.
2. Update krnl ops to reflect new affine map attribute syntax.
* See if conda exists
* Install ONNX by manually cloning the repo.
* Install cmake first.
* Using sudo priviledge when installing.
* Limit build parallelism.
* Limit parallelism.
* Larger memory.
* Install onnx package with pip.
* Build MLIR tools.
* Invalidate cache.
* Compile model.so with -fPIC.
* Remove module dump to get concise debug output.
* Print command before executing.
* Use quiet install mode to reduce logging.
* Use -relocation-model=pic to generate position independent code.
* 1. Remove MAKEFLAGS because now buildbot has enough memory.
2. Run DocCheck as a last step.
* 1. Add verbose mode for backtend test.
* When dumping to LLVM bitcode, do not dump module IR, but print a message indicating that bitcode has been written to disk.
* Do not pass MakeFlags to CMake.
* Add more explaination for posible reasons of failing to identify tests.
* 1. Implement doc-check utility.
* 1. Move ONNF installation script to a standalone script file.
* 1. Modify build script to install llvm-project next to ONNF. The build script used to install llvm-project inside ONNF, which didn't make sense.
* 1. Check out code to ONNF directory.
* 1. Pass path parameter correctly.
* 1. Debugging buildbot.
* 1. Remove debug code.
* 1. Update installation instructions in README.md.
2. Enforce consistency with scripts used in testing using doc-check.
* 1. Fix error with respect to syntax to build multiple CMake targets.
* 1. Move doc-check to doc_check.
2. Remove directive_config in top-level driver.
* 1. Build onnf and check-mlir-lit separately because only CMake 3.15+ supports building multiple targets in one cmake --build run.
* 1. Use new env variables to locate LLVM-Project.
* 1. Documentation nits.
* 1. Prettify buildbot scripts.
* 1. Fix build script error.
* 1. Support exclude_dirs in DocCheck.
2. Add README for DocCheck.
* 1. Mark python3 interpreter as required.
2. Use imported interpreter target.
* 1. Automatically deduce doc file extension in DocCheckCtx.
2. Rename ctx.open -> ctx.open_doc since it should only be used to open doc file.
3. Always read line in parser, instead of reading lines in driver and then passing it to parser.py.
* 1. Rename parser -> doc_parser due to name conflict with python built-in module.
2. Explose doc_check module directory first before importing; otherwise if the doc_check utility is invoked by other script, importing will not work correctly.
* 1. Keep renaming parser -> doc_parser.
2. Explicitly define a default configuration parser that parses the configuration into a python dictionary.
* 1. Add test for doc-check.
2. Exclude doc-check tests from project dock-check because base directory is different.
* 1. Raise ValueError if directive configuration fails to parse.
2. Format code.
* Shorten test case documentation.
Show example of using same-as-file directive, check with DocCheck.
* 1. Shorten test case documentation.
2. More documentation, check documentation with DocCheck.
* 1. Add copyright notice.
* 1. Make documentation clearer.
2. Prettify build-scripts.
* 1. Provide more documentation.
2. Fix some non-compliance with pep8 recommendations.
Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
Tian Jin