Building hipify-clang#
After cloning the HIPIFY repository (git clone https://github.com/ROCm/HIPIFY.git), run the following commands from the HIPIFY root folder.
cd .. \
mkdir build dist \
cd build
cmake \
-DCMAKE_INSTALL_PREFIX=../dist \
-DCMAKE_BUILD_TYPE=Release \
../hipify
make -j install
To ensure LLVM is found, or in case of multiple LLVM instances, specify the path to the root folder containing the LLVM distribution:
-DCMAKE_PREFIX_PATH=/usr/llvm/19.1.7/dist
On Windows, specify the following option for CMake:
-G "Visual Studio 17 2022"
Build the generated hipify-clang.sln using Visual Studio 17 2022 instead of Make. See Windows testing for the
supported tools for building.
As debug build type -DCMAKE_BUILD_TYPE=Debug is supported and tested, it is recommended to build LLVM+Clang
in debug mode.
Also, 64-bit build mode (-Thost=x64 on Windows) is supported, hence it is recommended to build LLVM+Clang in
64-bit mode.
You can find the binary at ./dist/hipify-clang or at the folder specified by the
-DCMAKE_INSTALL_PREFIX option.
Testing hipify-clang#
hipify-clang is equipped with unit tests using LLVM
lit or FileCheck.
Build LLVM+Clang from sources, as prebuilt binaries are not exhaustive for testing. Before
building, ensure that the
software required for building
belongs to an appropriate version.
LLVM >= 10.0.0#
- Download LLVM project sources. 
- Build LLVM project: - cd .. \ mkdir build dist \ cd build - Linux: - cmake \ -DCMAKE_INSTALL_PREFIX=../dist \ -DLLVM_TARGETS_TO_BUILD="X86" \ -DLLVM_ENABLE_PROJECTS="clang" \ -DLLVM_INCLUDE_TESTS=OFF \ -DCMAKE_BUILD_TYPE=Release \ ../llvm-project/llvm make -j install - Windows: - cmake \ -G "Visual Studio 17 2022" \ -A x64 \ -Thost=x64 \ -DCMAKE_INSTALL_PREFIX=../dist \ -DLLVM_TARGETS_TO_BUILD="" \ -DLLVM_ENABLE_PROJECTS="clang" \ -DLLVM_INCLUDE_TESTS=OFF \ -DCMAKE_BUILD_TYPE=Release \ ../llvm-project/llvm - Run - Visual Studio 17 2022, open the generated- LLVM.sln, build all, and build project- INSTALL.
- Install CUDA version 7.0 or greater. - In case of multiple CUDA installations, specify the particular version using - DCUDA_TOOLKIT_ROOT_DIRoption:- Linux: - -DCUDA_TOOLKIT_ROOT_DIR=/usr/include- Windows: - -DCUDA_TOOLKIT_ROOT_DIR="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.6" -DCUDA_SDK_ROOT_DIR="C:/ProgramData/NVIDIA Corporation/CUDA Samples/v12.6" 
 
- [Optional] Install cuTensor: - To specify the path to cuTensor, use the - CUDA_TENSOR_ROOT_DIRoption:- Linux: - -DCUDA_TENSOR_ROOT_DIR=/usr/include- Windows: - -DCUDA_TENSOR_ROOT_DIR=D:/CUDA/cuTensor/2.0.2.1
 
- [Optional] Install cuDNN belonging to the version corresponding to the CUDA version: - To specify the path to cuDNN, use the - CUDA_DNN_ROOT_DIRoption:- Linux: - -DCUDA_DNN_ROOT_DIR=/usr/include- Windows: - -DCUDA_DNN_ROOT_DIR=D:/CUDA/cuDNN/9.7.0
 
- [Optional] Install CUB 1.9.8 for - CUDA < 11.0only; for- CUDA >= 11.0, the CUB shipped with CUDA will be used for testing.- To specify the path to CUB, use the - CUDA_CUB_ROOT_DIRoption (only for- CUDA < 11.0):- Linux: - -DCUDA_CUB_ROOT_DIR=/srv/git/CUB- Windows: - -DCUDA_CUB_ROOT_DIR=D:/CUDA/CUB
 
- Install Python version 3.0 or greater. 
- Install - litand- FileCheck; these are distributed with LLVM.- Install - litinto- Python:- Linux: - python /usr/llvm/19.1.7/llvm-project/llvm/utils/lit/setup.py install - Windows: - python D:/LLVM/19.1.7/llvm-project/llvm/utils/lit/setup.py install - In case of errors similar to - ModuleNotFoundError: No module named 'setuptools', upgrade the- setuptoolspackage:- python -m pip install --upgrade pip setuptools 
- Starting with LLVM 6.0.1, specify the path to the - llvm-litPython script using the- LLVM_EXTERNAL_LIToption:- Linux: - -DLLVM_EXTERNAL_LIT=/usr/llvm/19.1.7/build/bin/llvm-lit- Windows: - -DLLVM_EXTERNAL_LIT=D:/LLVM/19.1.7/build/Release/bin/llvm-lit.py
- FileCheck:- Linux: - Copy from - /usr/llvm/19.1.7/build/bin/to- CMAKE_INSTALL_PREFIX/dist/bin.- Windows: - Copy from - D:/LLVM/19.1.7/build/Release/binto- CMAKE_INSTALL_PREFIX/dist/bin.- Alternatively, specify the path to - FileCheckin the- CMAKE_INSTALL_PREFIXoption.
 
- To run OpenGL tests successfully on: - Linux: - Install GL headers. - On Ubuntu, use: - sudo apt-get install mesa-common-dev- Windows: - No installation required. All the required headers are shipped with the Windows SDK. 
- Set the - HIPIFY_CLANG_TESTSoption to- ON:- -DHIPIFY_CLANG_TESTS=ON
- Build and run tests. 
LLVM <= 9.0.1#
- Build LLVM+Clang: - cd .. \ mkdir build dist \ cd build - Linux: - cmake \ -DCMAKE_INSTALL_PREFIX=../dist \ -DLLVM_SOURCE_DIR=../llvm \ -DLLVM_TARGETS_TO_BUILD="X86" \ -DLLVM_INCLUDE_TESTS=OFF \ -DCMAKE_BUILD_TYPE=Release \ ../llvm make -j install - Windows: - cmake \ -G "Visual Studio 16 2019" \ -A x64 \ -Thost=x64 \ -DCMAKE_INSTALL_PREFIX=../dist \ -DLLVM_SOURCE_DIR=../llvm \ -DLLVM_TARGETS_TO_BUILD="" \ -DLLVM_INCLUDE_TESTS=OFF \ -DCMAKE_BUILD_TYPE=Release \ ../llvm 
- Run - Visual Studio 16 2019, open the generated- LLVM.sln, build all, and build the- INSTALLproject.
Linux testing#
On Linux, the following configurations are tested:
- Ubuntu 22-23: LLVM 13.0.0 - 19.1.7, CUDA 7.0 - 12.6.3, cuDNN 8.0.5 - 9.7.0, cuTensor 1.0.1.0 - 2.0.2.1 
- Ubuntu 20-21: LLVM 9.0.0 - 19.1.7, CUDA 7.0 - 12.6.3, cuDNN 5.1.10 - 9.7.0, cuTensor 1.0.1.0 - 2.0.2.1 
- Ubuntu 16-19: LLVM 8.0.0 - 14.0.6, CUDA 7.0 - 10.2, cuDNN 5.1.10 - 8.0.5 
- Ubuntu 14: LLVM 4.0.0 - 7.1.0, CUDA 7.0 - 9.0, cuDNN 5.0.5 - 7.6.5 
Minimum build system requirements for the above configurations:
- CMake 3.16.8, GNU C/C++ 9.2, Python 3.0. 
Recommended build system requirements:
- CMake 3.31.2, GNU C/C++ 13.2, Python 3.13.1. 
Here’s how to build hipify-clang with testing support on Ubuntu 23.10.01:
cmake
-DHIPIFY_CLANG_TESTS=ON \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_INSTALL_PREFIX=../dist \
-DCMAKE_PREFIX_PATH=/usr/llvm/19.1.7/dist \
-DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-12.6.3 \
-DCUDA_DNN_ROOT_DIR=/usr/local/cudnn-9.7.0 \
-DCUDA_TENSOR_ROOT_DIR=/usr/local/cutensor-2.0.2.1 \
-DLLVM_EXTERNAL_LIT=/usr/llvm/19.1.7/build/bin/llvm-lit \
../hipify
The corresponding successful output is:
-- The C compiler identification is GNU 13.2.0
-- The CXX compiler identification is GNU 13.2.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- HIPIFY config:
--    - Build hipify-clang    : ON
--    - Test hipify-clang     : ON
--    - Is part of HIP SDK    : OFF
--    - Install clang headers : ON
-- Found ZLIB: /usr/lib/x86_64-linux-gnu/libz.so (found version "1.2.13")
-- Found LLVM 19.1.7:
--    - CMake module path     : /usr/llvm/19.1.7/dist/lib/cmake/llvm
--    - Clang include path    : /usr/llvm/19.1.7/dist/include
--    - LLVM Include path     : /usr/llvm/19.1.7/dist/include
--    - Binary path           : /usr/llvm/19.1.7/dist/bin
-- Linker detection: GNU ld
-- ---- The below configuring for hipify-clang testing only ----
-- Found Python: /usr/bin/python3.13 (found suitable version "3.13.1", required range is "3.0...3.14") found components: Interpreter
-- Found lit: /usr/local/bin/lit
-- Found FileCheck: /GIT/LLVM/trunk/dist/FileCheck
-- Initial CUDA to configure:
--    - CUDA Toolkit path     : /usr/local/cuda-12.6.3
--    - CUDA Samples path     :
--    - cuDNN path            : /usr/local/cudnn-9.7.0
--    - cuTENSOR path         : /usr/local/cuTensor/2.0.2.1
--    - CUB path              :
-- Found CUDAToolkit: /usr/local/cuda-12.6.3/targets/x86_64-linux/include (found version "12.6.85")
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- Found CUDA config:
--    - CUDA Toolkit path     : /usr/local/cuda-12.6.3
--    - CUDA Samples path     : OFF
--    - cuDNN path            : /usr/local/cudnn-9.7.0
--    - CUB path              : /usr/local/cuda-12.6.3/include/cub
--    - cuTENSOR path         : /usr/local/cuTensor/2.0.2.1
-- Configuring done (0.6s)
-- Generating done (0.0s)
-- Build files have been written to: /usr/hipify/build
make test-hipify
The corresponding successful output is:
Running HIPify regression tests
===============================================================
CUDA 12.6.85 - will be used for testing
LLVM 19.1.7 - will be used for testing
x86_64 - Platform architecture
Linux 6.5.0-15-generic - Platform OS
64 - hipify-clang binary bitness
64 - python 3.13.1 binary bitness
===============================================================
-- Testing: 106 tests, 12 threads --
Testing Time: 6.91s
Total Discovered Tests: 106
  Passed: 106 (100.00%)
Windows testing#
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5 LLVM 14.x.x is the latest major release supporting Visual Studio 2017.
To build LLVM 14.x.x correctly using Visual Studio 2017, add -DLLVM_FORCE_USE_OLD_TOOLCHAIN=ON
to corresponding CMake command line.
You can also build LLVM < 14.x.x correctly using Visual Studio 2017 without the
LLVM_FORCE_USE_OLD_TOOLCHAIN option.
6 Note that LLVM 17.0.0 was withdrawn due to an issue; use 17.0.1 or newer instead.
7 Note that LLVM 18.0.0 has never been released; use 18.1.0 or newer instead.
Building with testing support using Visual Studio 17 2022 on Windows 11:
cmake
-G "Visual Studio 17 2022" \
-A x64 \
-Thost=x64 \
-DHIPIFY_CLANG_TESTS=ON \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_INSTALL_PREFIX=../dist \
-DCMAKE_PREFIX_PATH=D:/LLVM/19.1.7/dist \
-DCUDA_TOOLKIT_ROOT_DIR="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.6" \
-DCUDA_SDK_ROOT_DIR="C:/ProgramData/NVIDIA Corporation/CUDA Samples/v12.5" \
-DCUDA_DNN_ROOT_DIR=D:/CUDA/cuDNN/9.7.0 \
-DCUDA_TENSOR_ROOT_DIR=D:/CUDA/cuTensor/2.0.2.1 \
-DLLVM_EXTERNAL_LIT=D:/LLVM/19.1.7/build/Release/bin/llvm-lit.py \
../hipify
The corresponding successful output is:
-- Selecting Windows SDK version 10.0.22621.0 to target Windows 10.0.22631.
-- The C compiler identification is MSVC 19.42.34435.0
-- The CXX compiler identification is MSVC 19.42.34435.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.42.34433/bin/Hostx64/x64/cl.exe - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.42.34433/bin/Hostx64/x64/cl.exe - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- HIPIFY config:
--    - Build hipify-clang    : ON
--    - Test hipify-clang     : ON
--    - Is part of HIP SDK    : OFF
--    - Install clang headers : ON
-- Found LLVM 19.1.7:
--    - CMake module path     : D:/LLVM/19.1.7/dist/lib/cmake/llvm
--    - Clang include path    : D:/LLVM/19.1.7/dist/include
--    - LLVM Include path     : D:/LLVM/19.1.7/dist/include
--    - Binary path           : D:/LLVM/19.1.7/dist/bin
-- ---- The below configuring for hipify-clang testing only ----
-- Found Python: C:/Users/TT/AppData/Local/Programs/Python/Python313/python.exe (found suitable version "3.13.1", required range is "3.0...3.14") found components: Interpreter
-- Found lit: C:/Users/TT/AppData/Local/Programs/Python/Python313/Scripts/lit.exe
-- Found FileCheck: D:/LLVM/19.1.7/dist/bin/FileCheck.exe
-- Initial CUDA to configure:
--    - CUDA Toolkit path     : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.6
--    - CUDA Samples path     : C:/ProgramData/NVIDIA Corporation/CUDA Samples/v12.5
--    - cuDNN path            : D:/CUDA/cuDNN/9.7.0
--    - cuTENSOR path         : D:/CUDA/cuTensor/2.0.2.1
--    - CUB path              :
-- Found CUDAToolkit: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.6/include (found version "12.6.85")
-- Found CUDA config:
--    - CUDA Toolkit path     : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.6
--    - CUDA Samples path     : C:/ProgramData/NVIDIA Corporation/CUDA Samples/v12.5
--    - cuDNN path            : D:/CUDA/cuDNN/9.7.0
--    - cuTENSOR path         : D:/CUDA/cuTensor/2.0.2.1
--    - CUB path              : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.6/include/cub
-- Configuring done (4.4s)
-- Generating done (0.1s)
-- Build files have been written to: D:/HIPIFY/build
Run Visual Studio 17 2022, open the generated hipify-clang.sln, and build the project test-hipify.