To install XDSL you can either clone the Github repository and install the requirements by following:
git clone https://github.com/xdslproject/xdsl.git
pip install -e .
# or for the optional requirements
# pip install -e .[extras]
pip install xdsl
This project includes pytest unit test and llvm-style filecheck tests. They can be executed using to following commands from within the root directory of the project:
# Executes pytests which are located in tests/
pytest
# Executes filecheck tests
lit tests/filecheck
xDSL can generate executables using MLIR as its backend. To benefit from this functionality, we first need to clone and build MLIR. Please follow: https://mlir.llvm.org/getting_started/
Next, we need to have mlir-opt
, mlir-translate
and clang
in the path:
# For XDSL-MLIR
export PATH=<insert-your-path>/llvm-project/build/bin:$PATH
Given an input file input.xdsl
, that contains IR with only the mirrored dialects
found in src/xdsl/dialects
(arith, builtin, cf, func, llvm, memref, and scf), run:
### Prints MLIR generic from to tmp.mlir
# e.g. ./src/tools/xdsl_opt -t mlir -o tmp.mlir `input.xdsl`
/src/tools/xdsl-opt -t mlir -o tmp.mlir tests/filecheck/scf_ops.xdsl
mlir-opt --convert-scf-to-cf --convert-cf-to-llvm --convert-func-to-llvm --convert-arith-to-llvm --convert-memref-to-llvm --reconcile-unrealized-casts tmp.mlir | mlir-translate --mlir-to-llvmir > tmp.ll
The generated tmp.ll
file contains LLVMIR, so it can be directly passed to a
compiler like clang. Notice that a main
function is required for clang to
build. Refer to tests/filecheck/arith_ops.test
for an example. The
functionality is tested with MLIR git commit hash:
74992f4a5bb79e2084abdef406ef2e5aa2024368
All python code used in xDSL uses yapf to format the code in a uniform manner.
To automate the formatting within vim, one can use
https://github.com/vim-autoformat/vim-autoformat and trigger a :Autoformat
on
save.