MLIR

The MLIR module contains a dialect and translation of core MLIR dialects to SDFGs.

SDFG Dialect: A dialect to represent SDFGs in MLIR.
Conversion: Conversion passes to convert core dialects (arith, linalg, etc.) to the SDFG dialect.
Translate: A translation pass to dump an SDFG from the SDFG dialect.

Build from Sources

To build the MLIR component from source install LLVM/MLIR dependencies first:

sudo apt-get install -y libmlir-19 libmlir-19-dev mlir-19-tools

Second, build from the root of the repository using cmake:

mkdir build && cd build
cmake -G Ninja \
    -DCMAKE_C_COMPILER=clang-19 \
    -DCMAKE_CXX_COMPILER=clang++-19 \
    -DCMAKE_BUILD_TYPE=Debug \
    -DMLIR_BUILD_FRONTEND=ON \
    -DMLIR_BUILD_TESTS=ON \
    -DMLIR_DIR=/usr/lib/llvm-19/lib/cmake/mlir \
    -DLLVM_EXTERNAL_LIT=/usr/lib/llvm-19/build/utils/lit/lit.py \
    -DWITH_SYMENGINE_THREAD_SAFE=ON \
    -DWITH_SYMENGINE_RCP=ON \
    -DINSTALL_GTEST=OFF \
    -DBUILD_TESTS:BOOL=OFF \
    -DBUILD_BENCHMARKS:BOOL=OFF \
    -DBUILD_BENCHMARKS_GOOGLE:BOOL=OFF \
    ..
ninja -j$(nproc)

To verify, the basic dialects and translation work, run the tests:

ninja check-docc-mlir

License

This component is part of docc and is published under the BSD-3-Clause license. See LICENSE for details.

Release files for docc-ai 0.8.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for docc-ai 0.8.0
File	Interpreter	ABI	Platform	Reset
docc_ai-0.8.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 17.6 MB Aug 25, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
docc_ai-0.8.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl 16.8 MB Aug 25, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.27+ ARM64, Linux glibc 2.28+ ARM64	Details
docc_ai-0.8.0-cp312-cp312-macosx_14_0_arm64.whl 48.9 MB Aug 25, 2026	CPython 3.12	CPython 3.12	macOS 14.0+ ARM64	Details
docc_ai-0.8.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 17.6 MB Aug 25, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
docc_ai-0.8.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl 16.8 MB Aug 25, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.28+ ARM64, Linux glibc 2.27+ ARM64	Details
docc_ai-0.8.0-cp311-cp311-macosx_14_0_arm64.whl 48.9 MB Aug 25, 2026	CPython 3.11	CPython 3.11	macOS 14.0+ ARM64	Details

Total release size: 166.5 MB

Release files / docc_ai-0.8.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	docc_ai-0.8.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	17.6 MB
Tags	CPython 3.12 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`b397842e4d2ead703ea7aead3b5dc328014559b42e145909756d1c74ebf2c169`
BLAKE2b-256 checksum How to use checksums	`853ebac4065aa7a7c6d0d43ebee186125f0ed05c22bc6b7e259e902c04f8104f`
Upload date	Aug 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.14`

Release files / docc_ai-0.8.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl

Download URL	docc_ai-0.8.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Size	16.8 MB
Tags	CPython 3.12 Linux glibc 2.27+ ARM64 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`84309b95189a91f03e5161e5b279e7b571b58db1f52b9b8ea5ef6465aad0c899`
BLAKE2b-256 checksum How to use checksums	`65ac6908a2af7035105f14ac0177d2d2268e759f897b61628f24b3b3ab07dbdc`
Upload date	Aug 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.14`

Release files / docc_ai-0.8.0-cp312-cp312-macosx_14_0_arm64.whl

Download URL	docc_ai-0.8.0-cp312-cp312-macosx_14_0_arm64.whl
Size	48.9 MB
Tags	CPython 3.12 macOS 14.0+ ARM64
SHA-256 checksum How to use checksums	`5cbd2a8e8906023fc31e45c53649f48a630a28bcdc5a0b5dadc77f440f862b0a`
BLAKE2b-256 checksum How to use checksums	`f2f4c281e9ecd58d4a6b9c7e5f9d6fd95bda1283dadc4ae5389a976ec7445c6b`
Upload date	Aug 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.14`

Release files / docc_ai-0.8.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	docc_ai-0.8.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	17.6 MB
Tags	CPython 3.11 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`ba51f0b657d199f94008e0889b0c3f91e7d02a83716f77965c930edc25f5d2df`
BLAKE2b-256 checksum How to use checksums	`0f2239e1c5543f94ba7cd139a615c072a9ab161cdc0b398f2228280b1e5525c4`
Upload date	Aug 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.14`

Release files / docc_ai-0.8.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl

Download URL	docc_ai-0.8.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Size	16.8 MB
Tags	CPython 3.11 Linux glibc 2.27+ ARM64 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`bdc377b9115139555034f147de34827770ea34bcaf69c3713b7b2a47f90b2e53`
BLAKE2b-256 checksum How to use checksums	`cd079fedb0b40775e3675bcb389590e601c5740761413808a50b99e14e3dfabc`
Upload date	Aug 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.14`

Release files / docc_ai-0.8.0-cp311-cp311-macosx_14_0_arm64.whl

Download URL	docc_ai-0.8.0-cp311-cp311-macosx_14_0_arm64.whl
Size	48.9 MB
Tags	CPython 3.11 macOS 14.0+ ARM64
SHA-256 checksum How to use checksums	`734f9d42aa29b8c0a1a592c25942f7d851e1be74b4724d8a3e0769fc197904c4`
BLAKE2b-256 checksum How to use checksums	`44242bf4c44ed17213dd7319afabb092b4c3aac79c2bedd049a003c501e215cf`
Upload date	Aug 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.14`