This repo contains all the experiments used to evaluate options for direct vectorization of 1d convolutions.
The code in this repo takes an mlir file, lowers it to LLVMIR, extracts the assembly for the conv1d function and runs it through llvm-mca.
./run.py -m [path to mlir build dir] -o [option name] [-v vector_width] [-a arch] [-c cpu]
Examples:
./run.py -m ${LLVM_BUILD_DIR} -o multi_reduction -v 128
./run.py -m ${LLVM_BUILD_DIR} -o scalar -a arm64 -c cortex-a53
To see the supported options:
./run.py --help
For now, it is assumed that -a x64_64 (default) is native compilation, in which case an actual run
is triggered to check and benchmark the implementation.
Other arch, e.g. -a arm64 is considered cross-compilation and stops after llvm-mca.