onnx-mlir/utils/install-mlir.sh

git clone https://github.com/llvm/llvm-project.git
# Check out a specific branch that is known to work with ONNF.
cd llvm-project && git checkout 476ca094c846a0b6d4d9f37710aba21a6b0b265a && cd ..
mkdir llvm-project/build
cd llvm-project/build
cmake -G Ninja ../llvm \
   -DLLVM_ENABLE_PROJECTS=mlir \
   -DLLVM_BUILD_EXAMPLES=ON \
   -DLLVM_TARGETS_TO_BUILD="host" \
   -DCMAKE_BUILD_TYPE=Release \
   -DLLVM_ENABLE_ASSERTIONS=ON \
   -DLLVM_ENABLE_RTTI=ON

cmake --build . --target -- ${MAKEFLAGS}
cmake --build . --target check-mlir
1. Simplify CircleCI build scripts. 2. Refactor mlir installation script to a standalone shell script. 2019-12-31 14:45:32 +08:00			`git clone https://github.com/llvm/llvm-project.git`
Use llvm-project we know that works. 2020-03-02 14:28:36 +08:00			`# Check out a specific branch that is known to work with ONNF.`
Upgrade MLIR commit id. 2020-03-02 16:20:58 +08:00			`cd llvm-project && git checkout 476ca094c846a0b6d4d9f37710aba21a6b0b265a && cd ..`
1. Simplify CircleCI build scripts. 2. Refactor mlir installation script to a standalone shell script. 2019-12-31 14:45:32 +08:00			`mkdir llvm-project/build`
			`cd llvm-project/build`
			`cmake -G Ninja ../llvm \`
			`-DLLVM_ENABLE_PROJECTS=mlir \`
			`-DLLVM_BUILD_EXAMPLES=ON \`
			`-DLLVM_TARGETS_TO_BUILD="host" \`
			`-DCMAKE_BUILD_TYPE=Release \`
			`-DLLVM_ENABLE_ASSERTIONS=ON \`
			`-DLLVM_ENABLE_RTTI=ON`
1. Remove quotes from strings in yaml file for better consistency. 2. Use MAKEFLAGS env variable to limit build parallelism so that mlir installation script remains clean. 2020-01-01 02:28:26 +08:00
Resolve buildbot issue. (#64) * 1. Try limit parallelism. * Limit build parallelism to 4. * Fix doc-check failure. Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com> 2020-01-31 23:24:45 +08:00			`cmake --build . --target -- ${MAKEFLAGS}`
Enable e2e tests (#29) * 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. 2020-01-21 01:30:08 +08:00			`cmake --build . --target check-mlir`