Welcome to the CIRCT project!
"CIRCT" stands for "Circuit IR Compilers and Tools". The CIRCT project is an (experimental!) effort looking to apply MLIR and the LLVM development methodology to the domain of hardware design tools.
Take a look at the following diagram, which gives a brief overview of the current dialects and how they interact:
These commands can be used to setup CIRCT project:
- Install Dependencies of LLVM/MLIR according to the instructions, including cmake and ninja.
If you plan to use the Python bindings, you should start by reading the instructions for building the MLIR Python bindings, which describe extra dependencies, CMake variables, and helpful Python development practices. Note the extra CMake variables, which you will need to specify in step 3) below.
- Check out LLVM and CIRCT repos. CIRCT contains LLVM as a git submodule. The LLVM repo here includes staged changes to MLIR which may be necessary to support CIRCT. It also represents the version of LLVM that has been tested. MLIR is still changing relatively rapidly, so feel free to use the current version of LLVM, but APIs may have changed.
$ git clone git@github.com:circt/circt.git
$ cd circt
$ git submodule init
$ git submodule update
Note: The repository is set up so that git submodule update
performs a
shallow clone, meaning it downloads just enough of the LLVM repository to check
out the currently specified commit. If you wish to work with the full history of
the LLVM repository, you can manually "unshallow" the the submodule:
$ cd llvm
$ git fetch --unshallow
- Build and test LLVM/MLIR:
$ cd circt
$ mkdir llvm/build
$ cd llvm/build
$ cmake -G Ninja ../llvm \
-DLLVM_ENABLE_PROJECTS="mlir" \
-DLLVM_TARGETS_TO_BUILD="X86;RISCV" \
-DLLVM_ENABLE_ASSERTIONS=ON \
-DCMAKE_BUILD_TYPE=DEBUG
$ ninja
$ ninja check-mlir
- Build and test CIRCT:
$ cd circt
$ mkdir build
$ cd build
$ cmake -G Ninja .. \
-DMLIR_DIR=$PWD/../llvm/build/lib/cmake/mlir \
-DLLVM_DIR=$PWD/../llvm/build/lib/cmake/llvm \
-DLLVM_ENABLE_ASSERTIONS=ON \
-DCMAKE_BUILD_TYPE=DEBUG
$ ninja
$ ninja check-circt
$ ninja check-circt-integration # Run the integration tests.
The -DCMAKE_BUILD_TYPE=DEBUG
flag enables debug information, which makes the
whole tree compile slower, but allows you to step through code into the LLVM
and MLIR frameworks.
To get something that runs fast, use -DCMAKE_BUILD_TYPE=Release
or
-DCMAKE_BUILD_TYPE=RelWithDebInfo
if you want to go fast and optionally if
you want debug info to go with it. Release
mode makes a very large difference
in performance.
If you plan to use the Python bindings, you should also specify
-DCIRCT_BINDINGS_PYTHON_ENABLED=ON
.
- Optionally configure your environment:
It is useful to add the .../circt/build/bin
and .../circt/llvm/build/bin
directories to the end of your PATH, allowing you to use the tools like circt-opt
in a natural way on the command line. Similarly, you need to be in the build
directory to invoke ninja, which is super annoying. You might find a bash/zsh
alias like this to be useful:
build() {
(cd $HOME/Projects/circt/build/; ninja $1 $2 $3)
}
This allows you to invoke build check-circt
from any directory and have it do
the right thing.
- Run the Verilator tests: (optional)
Verilator can be used to check
SystemVerilog code. To run the tests, build or install a recent version
of Verilator (at least v4.034, ideally v1.110 or later to avoid a known bug).
(Some Linux distributions have ancient versions.) If Verilator is in your
PATH, build check-circt
should run the tests which require Verilator.
We provide a script utils/get-verilator.sh
to automate the download and
compilation of Verilator into a known location. The testing script will check
this location first. This script assumes that all the Verilator package
dependencies are installed on your system. They are:
- make
- autoconf
- g++
- flex
- bison
- libfl2 # Ubuntu only (ignore if gives error)
- libfl-dev # Ubuntu only (ignore if gives error)
- Install Cap'nProto (optional, affects ESI dialect only)
Some of the ESI dialect code requires libcapnp.
(Specifically, the cosimulation component.) That code
requires a version of libcapnp which is not yet part of a release. Most of
the ESI cosim integration tests also require the python bindings: pycapnp.
The utils/get-capnp.sh
script downloads, compiles, and installs a known
good version to a directory within the circt source code. It optionally
installs pycapnp via 'pip3'. The capnp compile requires libtool.
Alternatively, you can use a docker image we provide via
utils/run-docker.sh
.
The project is small so there are few formal process yet. We generally follow the LLVM and MLIR community practices, but we currently use pull requests and GitHub issues. Here are some high-level guidelines:
-
Please use clang-format in the LLVM style. There are good plugins for common editors like VSCode, Atom, etc, or you can run it manually. This makes code easier to read and understand.
-
Beyond mechanical formatting issues, please follow the LLVM Coding Standards.
-
Please practice "incremental development", preferring to send a small series of incremental patches rather than large patches. There are other policies in the LLVM Developer Policy document that are worth skimming.
-
Please use "Squash and Merge" in PRs when they are approved - we don't need the intra-change history in the repository history.
-
Please create a PR to get a code review. For reviewers, it is good to look at the primary author of the code you are touching to make sure they are at least CC'd on the PR.
This project depends on MLIR and LLVM, and it is occasionally useful to improve them. To get set up for this:
- Follow the "How to Contribute"
instructions, and install the right tools, e.g. 'arcanist' and
clang-format
. - Get an LLVM Phabricator account
- Ask for LLVM commit access, the barrier is low.
The patch flow goes like this:
- Check out the LLVM mono repo (as described above).
- Make changes to your codebase.
- Stage your changes with
git add
. - Run clang-format to tidy up the details of the patch with
git clang-format origin/main
- Create a patch in Phabricator with
arc diff
. - Iterate on review, changing your code and sending another patch with
arc diff
.
When your review converges and your patch is approved, do the following:
- commit your changes with
git commit
- rebase your changes with
git pull --rebase
- retest your patch with
ninja check-mlir
(or whatever other target makes sense) - push your changes with
git push
The 'staging' tree at git@github.com:circt/llvm.git is only intended to be a temporary location for patches which have not yet been accepted upstream. The patches here should not be long lived and the branches in that tree may be rebased without warning. The 'correct' version of LLVM is referenced by its git hash as a submodule of the main circt repository. It may be necessary to pull changes from LLVM, in which case it is appropriate to rebase this tree.
$ cd llvm
$ git remote add llvm git@github.com:llvm/llvm-project.git
$ git pull --rebase llvm main
$ cd build
$ ninja
$ ninja check-mlir
At this point we have built and tested our changes with any upstream changes and
resolved any conflicts. Note that we rebase instead of merging in order to
ensure that our patches remain current, since they should get pushed to LLVM at
some point. Now we can update circt/llvm
and push a new reference to LLVM for
everyone else to use.
$ git push -f origin HEAD:staging
However, we're still not done at this point. circt/circt
still points at the
old git hash for the llvm submodule.
$ cd circt/build
$ ninja
$ ninja check-circt
Now we have fixed any changes to circuit, so those changes can be committed and pushed.
$ cd ..
$ git commit .
$ git push origin HEAD:main
You should see that the changes include an update to the submodule hash.