hipify-clang#

hipify-clang is a clang-based tool for translating CUDA sources into HIP sources. It translates CUDA source into an abstract syntax tree (AST), which is traversed by transformation matchers. After applying all the matchers, the output HIP source is produced.

Advantages:

hipify-clang is a translator; any complex constructs will be parsed successfully, or an error will be reported.
It supports clang options like -I, -D, --cuda-path, etc.
Seamless support of new CUDA versions, as the clang front end is statically linked into hipify-clang and does all the syntactical parsing of a CUDA source to hipify.
Ease of support as a compiler extension.

Disadvantages:

Ensure the input CUDA code is correct; incorrect code will not be translated to HIP.
CUDA should be installed and provided in case of multiple installations by --cuda-path option.
All the includes and defines should be provided to transform code successfully.

hipify-clang: dependencies#

hipify-clang requires:

LLVM+clang of at least version 4.0.0; the latest stable and recommended release: 18.1.1.
CUDA of at least version 7.0, the latest supported version is 12.3.2.

LLVM release version	The latest supported CUDA version	Windows	Linux
3.8.0, 3.8.1, 3.9.0, 3.9.1	7.5	+	+
4.0.0, 4.0.1, 5.0.0, 5.0.1, 5.0.2	8.0	+	+
6.0.0, 6.0.1	9.0	+	+
7.0.0, 7.0.1, 7.1.0	9.2	works only with the patch due to the clang's bug 38811 patch for 7.0.0 patch for 7.0.1 patch for 7.1.0**	- not working due to the clang's bug 36384
8.0.0, 8.0.1	10.0	works only with the patch due to the clang's bug 38811 patch for 8.0.0 patch for 8.0.1	+
9.0.0, 9.0.1	10.1	+	+
10.0.0, 10.0.1	11.0.0	+	+
10.0.0, 10.0.1	11.0.1, 11.1.0, 11.1.1	works only with the patch due to the clang's bug 47332 patch for 10.0.0* patch for 10.0.1*
11.0.0	11.0.0	+	+
11.0.0	11.0.1, 11.1.0, 11.1.1	works only with the patch due to the clang's bug 47332 patch for 11.0.0***
11.0.1, 11.1.0	11.2.2	+	+
12.0.0, 12.0.1, 13.0.0, 13.0.1	11.5.1	+	+
14.0.0, 14.0.1, 14.0.2, 14.0.3, 14.0.4	11.7.1	works only with the patch due to the clang's bug 54609 patch for 14.0.0 patch for 14.0.1 patch for 14.0.2 patch for 14.0.3 patch for 14.0.4**	+
14.0.5, 14.0.6, 15.0.0, 15.0.1, 15.0.2, 15.0.3, 15.0.4, 15.0.5, 15.0.6, 15.0.7	11.8.0	+	+
16.0.0, 16.0.1, 16.0.2, 16.0.3, 16.0.4, 16.0.5, 16.0.6	12.2.2	+	+
17.0.1, 17.0.2, 17.0.3, 17.0.4, 17.0.5, 17.0.6, 18.1.0, 18.1.1	12.3.2	LATEST STABLE CONFIG
19.0.0git	12.3.2	+	+

* LLVM 3.x is not supported anymore but might still work.

** Download the patch and unpack it into your LLVM distributive directory: a few header files will be overwritten; rebuilding of LLVM is not needed.

*** Download the patch and unpack it into your LLVM source directory: the file Cuda.cpp will be overwritten; needs further rebuilding of LLVM.

In most cases, you can get a suitable version of LLVM+clang with your package manager.

Failing that or having multiple versions of LLVM, you can download a release archive, build or install it, and set CMAKE_PREFIX_PATH so CMake can find it; for instance: -DCMAKE_PREFIX_PATH=D:\LLVM\18.1.1\dist

hipify-clang: usage#

To process a file, hipify-clang needs access to the same headers that would be required to compile it with clang.

For example:

./hipify-clang square.cu --cuda-path=/usr/local/cuda-12.3 -I /usr/local/cuda-12.3/samples/common/inc

hipify-clang arguments are given first, followed by a separator '--', and then the arguments you’d pass to clang if you were compiling the input file. For example:

./hipify-clang cpp17.cu --cuda-path=/usr/local/cuda-12.3 -- -std=c++17

hipify-clang also supports the hipification of multiple files that might be specified in a single command line with absolute or relative paths, for instance:

./hipify-clang cpp17.cu ../../square.cu /home/user/cuda/intro.cu --cuda-path=/usr/local/cuda-12.3 -- -std=c++17

To use a specific version of LLVM during hipification, the hipify-clang option --clang-resource-directory= must be specified to point to the clang resource directory - the parent directory for the include folder that contains __clang_cuda_runtime_wrapper.h and other header files used during the hipification process, for instance:

./hipify-clang square.cu --cuda-path=/usr/local/cuda-12.3 --clang-resource-directory=/usr/llvm/18.1.1/dist/lib/clang/18

The Clang manual for compiling CUDA may be useful.

hipify-clang: using JSON Compilation Database#

For some hipification automation (starting from clang 8.0.0), it is also possible to provide a Compilation Database in JSON format in the compile_commands.json file:

-p <folder containing compile_commands.json> or
-p=<folder containing compile_commands.json>

The compilation database should be provided in the compile_commands.json file or generated by clang based on CMake; multiple source files can be specified as well. Only clang options must be provided in the compile_commands.json file; hipify-clang options can only be provided in the hipify-clang command line.

Note: Do not use the options separator '--'. A compilation error will occur if the hipify-clang options are provided before the separator.

Here is an example of the compile_commands.json usage: https://github.com/ROCm/HIPIFY/blob/amd-staging/tests/unit_tests/compilation_database/compile_commands.json.in

hipify-clang: hipification statistics#

There are options --print-stats and --print-stats-csv that help to see an overall picture of what is hipified and what is not and obtain the hipification statistics. For instance:

hipify-clang intro.cu -cuda-path="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.3.2" --print-stats

[HIPIFY] info: file 'intro.cu' statistics:
CONVERTED refs count: 40
UNCONVERTED refs count: 0
CONVERSION %: 100.0
REPLACED bytes: 604
[HIPIFY] info: file 'intro.cu' statistics:
  CONVERTED refs count: 40
  UNCONVERTED refs count: 0
  CONVERSION %: 100.0
  REPLACED bytes: 604
  TOTAL bytes: 5794
  CHANGED lines of code: 34
  TOTAL lines of code: 174
  CODE CHANGED (in bytes) %: 10.4
  CODE CHANGED (in lines) %: 19.5
  TIME ELAPSED s: 0.41
[HIPIFY] info: CONVERTED refs by type:
  error: 2
  device: 2
  memory: 16
  event: 9
  thread: 1
  include_cuda_main_header: 1
  type: 2
  numeric_literal: 7
[HIPIFY] info: CONVERTED refs by API:
  CUDA Driver API: 1
  CUDA RT API: 39
[HIPIFY] info: CONVERTED refs by names:
  cuda.h: 1
  cudaDeviceReset: 1
  cudaError_t: 1
  cudaEventCreate: 2
  cudaEventElapsedTime: 1
  cudaEventRecord: 3
  cudaEventSynchronize: 3
  cudaEvent_t: 1
  cudaFree: 4
  cudaFreeHost: 3
  cudaGetDeviceCount: 1
  cudaGetErrorString: 1
  cudaGetLastError: 1
  cudaMalloc: 3
  cudaMemcpy: 6
  cudaMemcpyDeviceToHost: 3
  cudaMemcpyHostToDevice: 3
  cudaSuccess: 1
  cudaThreadSynchronize: 1

hipify-clang intro.cu -cuda-path="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.3.2" --print-stats-csv

The generated file with statistics is intro.cu.csv:

In the case of multiple source files, the statistics will be provided per file and in total.

For a list of hipify-clang options, run hipify-clang --help.

hipify-clang: building#

Once the HIPIFY repository is cloned (git clone https://github.com/ROCm/HIPIFY.git), the following commands must be run from the HIPIFY root folder.

cd .. \
mkdir build dist \
cd build

cmake \
 -DCMAKE_INSTALL_PREFIX=../dist \
 -DCMAKE_BUILD_TYPE=Release \
 ../hipify

make -j install

Having not found or multiple LLVM instances, the root folder with LLVM distributive must be specified in the CMake command line to build hipify-clang, for example:

-DCMAKE_PREFIX_PATH=/usr/llvm/18.1.1/dist

On Windows, the following option should be specified for CMake in the first place: -G "Visual Studio 17 2022"; the generated hipify-clang.sln should be built by Visual Studio 17 2022 instead of Make. Please, see hipify-clang: Windows for the supported tools for building.

Debug build type -DCMAKE_BUILD_TYPE=Debug is also supported and tested; LLVM+clang should be built in Debug mode as well. 64-bit build mode (-Thost=x64 on Windows) is also supported; LLVM+clang should be built in 64-bit mode as well.

The binary can then be found at ./dist/hipify-clang or at the folder specified by the -DCMAKE_INSTALL_PREFIX option.

hipify-clang: testing#

hipify-clang has unit tests using LLVM lit/FileCheck.

LLVM+clang should be built from sources, pre-built binaries are not exhaustive for testing. Before building ensure that the software required for building is of an appropriate version.

LLVM <= 9.0.1:

download LLVM+clang sources;
build LLVM+clang:

     cd .. \
     mkdir build dist \
     cd build

Linux:

     cmake \
      -DCMAKE_INSTALL_PREFIX=../dist \
      -DLLVM_SOURCE_DIR=../llvm \
      -DLLVM_TARGETS_TO_BUILD="X86;NVPTX" \
      -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="NVPTX" \
      -DLLVM_INCLUDE_TESTS=OFF \
      -DCMAKE_BUILD_TYPE=Release \
      ../llvm

Run Visual Studio 16 2019, open the generated LLVM.sln, build all, and build the INSTALL project.

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="" \
      -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, build project INSTALL.

Ensure CUDA of minimum version 7.0 is installed.

Having multiple CUDA installations to choose a particular version, the DCUDA_TOOLKIT_ROOT_DIR option must be specified:
- Linux: -DCUDA_TOOLKIT_ROOT_DIR=/usr/include
- Windows: -DCUDA_TOOLKIT_ROOT_DIR="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.3"
  
  -DCUDA_SDK_ROOT_DIR="C:/ProgramData/NVIDIA Corporation/CUDA Samples/v12.3"

Ensure cuDNN of the version corresponding to CUDA version is installed.

Path to cuDNN should be specified by the CUDA_DNN_ROOT_DIR option:
- Linux: -DCUDA_DNN_ROOT_DIR=/usr/include
- Windows: -DCUDA_DNN_ROOT_DIR=D:/CUDA/cuDNN/8.9.7

Ensure CUB of the version corresponding to CUDA version is installed.

Path to CUB should be specified by the CUDA_CUB_ROOT_DIR option:
- Linux: -DCUDA_CUB_ROOT_DIR=/srv/git/CUB
- Windows: -DCUDA_CUB_ROOT_DIR=D:/CUDA/CUB/cub-2.1.0

Ensure python of minimum required version 2.7 is installed.
Ensure lit and FileCheck are installed - these are distributed with LLVM.

Install lit into python:
- Linux: python /usr/llvm/18.1.1/llvm-project/llvm/utils/lit/setup.py install
- Windows: python D:/LLVM/18.1.1/llvm-project/llvm/utils/lit/setup.py install
  
  In case of errors, similar to ModuleNotFoundError: No module named 'setuptools', upgrade the setuptools package:
  
  python -m pip install --upgrade pip setuptools
Starting with LLVM 6.0.1 path to llvm-lit python script should be specified by the LLVM_EXTERNAL_LIT option:
- Linux: -DLLVM_EXTERNAL_LIT=/usr/llvm/18.1.1/build/bin/llvm-lit
- Windows: -DLLVM_EXTERNAL_LIT=D:/LLVM/18.1.1/build/Release/bin/llvm-lit.py
FileCheck:
- Linux: copy from /usr/llvm/18.1.1/build/bin/ to CMAKE_INSTALL_PREFIX/dist/bin
- Windows: copy from D:/LLVM/18.1.1/build/Release/bin to CMAKE_INSTALL_PREFIX/dist/bin
- Or specify the path to FileCheck in CMAKE_INSTALL_PREFIX option

To run OpenGL tests successfully on:

Linux: install at least essential GL headers (on Ubuntu by sudo apt-get install mesa-common-dev)
Windows: nothing to do: all the required headers are shipped with Windows SDK

Set HIPIFY_CLANG_TESTS option turned on: -DHIPIFY_CLANG_TESTS=ON.
Build and run tests:

hipify-clang: Linux testing#

On Linux the following configurations are tested:

Ubuntu 14: LLVM 4.0.0 - 7.1.0, CUDA 7.0 - 9.0, cuDNN 5.0.5 - 7.6.5

Ubuntu 16-19: LLVM 8.0.0 - 14.0.6, CUDA 7.0 - 10.2, cuDNN 5.1.10 - 8.0.5

Ubuntu 20-21: LLVM 9.0.0 - 18.1.1, CUDA 7.0 - 12.3.2, cuDNN 5.1.10 - 8.9.7

Ubuntu 22-23: LLVM 13.0.0 - 18.1.1, CUDA 7.0 - 12.3.2, cuDNN 8.0.5 - 8.9.7

Minimum build system requirements for the above configurations:

CMake 3.16.8, GNU C/C++ 9.2, Python 2.7.

Recommended build system requirements:

CMake 3.28.3, GNU C/C++ 13.2, Python 3.12.2.

Here is an example of building 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/18.1.1/dist \
 -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-12.3.2 \
 -DCUDA_DNN_ROOT_DIR=/usr/local/cudnn-8.9.7 \
 -DCUDA_CUB_ROOT_DIR=/usr/local/cub-2.1.0 \
 -DLLVM_EXTERNAL_LIT=/usr/llvm/18.1.1/build/bin/llvm-lit \
 ../hipify

A corresponding successful output:

-- 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
-- Found ZLIB: /usr/lib/x86_64-linux-gnu/libz.so (found version "1.2.13")
-- Found LLVM 18.1.1:
--    - CMake module path  : /usr/llvm/18.1.1/dist/lib/cmake/llvm
--    - Clang include path : /usr/llvm/18.1.1/dist/include
--    - LLVM Include path  : /usr/llvm/18.1.1/dist/include
--    - Binary path        : /usr/llvm/18.1.1/dist/bin
-- Linker detection: GNU ld
-- ---- The below configuring for hipify-clang testing only ----
-- Found Python: /usr/bin/python3.12 (found version "3.12.2") 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-12.3.2
--    - CUDA Samples path  : OFF
--    - cuDNN path         : /usr/local/cudnn-8.9.7
--    - CUB path           : /usr/local/cub-2.1.0
-- Found CUDAToolkit: /usr/local/cuda-12.3.2/targets/x86_64-linux/include (found version "12.3.107")
-- 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-12.3.2
--    - CUDA Samples path  : OFF
--    - cuDNN path         : /usr/local/cudnn-8.9.7
--    - CUB path           : /usr/local/cub-2.1.0
-- Configuring done (0.5s)
-- Generating done (0.0s)
-- Build files have been written to: /usr/hipify/build

make test-hipify

A corresponding successful output:

Running HIPify regression tests
===============================================================
CUDA 12.3.107 - will be used for testing
LLVM 18.1.1 - will be used for testing
x86_64 - Platform architecture
Linux 6.5.0-15-generic - Platform OS
64 - hipify-clang binary bitness
64 - python 3.12.2 binary bitness
===============================================================
-- Testing: 102 tests, 12 threads --
Testing Time: 6.70s

Total Discovered Tests: 102
  Passed: 102 (100.00%)

hipify-clang: Windows testing#

Tested configurations:

LLVM	CUDA	cuDNN	Visual Studio	CMake	Python
4.0.0 - 5.0.2	7.0 - 8.0	5.1.10 - 7.1.4	2015.14.0, 2017.15.5.2	3.5.1 - 3.18.0	3.6.4 - 3.8.5
6.0.0 - 6.0.1	7.0 - 9.0	7.0.5 - 7.6.5	2015.14.0, 2017.15.5.5	3.6.0 - 3.18.0	3.7.2 - 3.8.5
7.0.0 - 7.1.0	7.0 - 9.2	7.6.5	2017.15.9.11	3.13.3 - 3.18.0	3.7.3 - 3.8.5
8.0.0 - 8.0.1	7.0 - 10.0	7.6.5	2017.15.9.15	3.14.2 - 3.18.0	3.7.4 - 3.8.5
9.0.0 - 9.0.1	7.0 - 10.1	7.6.5	2017.15.9.20, 2019.16.4.5	3.16.4 - 3.18.0	3.8.0 - 3.8.5
10.0.0 - 11.0.0	7.0 - 11.1	7.6.5 - 8.0.5	2017.15.9.30, 2019.16.8.3	3.19.2	3.9.1
11.0.1 - 11.1.0	7.0 - 11.2.2	7.6.5 - 8.0.5	2017.15.9.31, 2019.16.8.4	3.19.3	3.9.2
12.0.0 - 13.0.1	7.0 - 11.5.1	7.6.5 - 8.3.2	2017.15.9.43, 2019.16.11.9	3.22.2	3.10.2
14.0.0 - 14.0.6	7.0 - 11.7.1	8.0.5 - 8.4.1	2017.15.9.57*, 2019.16.11.17, 2022.17.2.6	3.24.0	3.10.6
15.0.0 - 15.0.7	7.0 - 11.8.0	8.0.5 - 8.8.1	2019.16.11.25, 2022.17.5.2	3.26.0	3.11.2
16.0.0 - 16.0.6	7.0 - 12.2.2	8.0.5 - 8.9.5	2019.16.11.29, 2022.17.7.1	3.27.3	3.11.4
17.0.1 - 18.1.1*	7.0 - 12.3.2	8.0.5 - 8.9.7	2019.16.11.34, 2022.17.9.0	3.28.3	3.12.2
19.0.0git	7.0 - 12.3.2	8.0.5 - 8.9.7	2019.16.11.34, 2022.17.9.0	3.28.3	3.12.2

  * LLVM 14.x.x is the latest major release supporting Visual Studio 2017.
    To build LLVM 14.x.x correctly by Visual Studio 2017, -DLLVM_FORCE_USE_OLD_TOOLCHAIN=ON should be added to a corresponding CMake command line.
    LLVM < 14.x.x can be built correctly by Visual Studio 2017 without the LLVM_FORCE_USE_OLD_TOOLCHAIN option.
 ** Note that LLVM 17.0.0 was withdrawn due to an issue; please use 17.0.1 or newer instead.
*** Note that LLVM 18.0.0 has never been released; please use 18.1.0 or newer instead.

Building with testing support by Visual Studio 17 2022 on Windows 10:

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/18.1.1/dist \
 -DCUDA_TOOLKIT_ROOT_DIR="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.3" \
 -DCUDA_SDK_ROOT_DIR="C:/ProgramData/NVIDIA Corporation/CUDA Samples/v12.3" \
 -DCUDA_DNN_ROOT_DIR=D:/CUDA/cuDNN/8.9.7 \
 -DCUDA_CUB_ROOT_DIR=D:/CUDA/CUB/cub-2.1.0 \
 -DLLVM_EXTERNAL_LIT=D:/LLVM/18.1.1/build/Release/bin/llvm-lit.py \
 ../hipify

A corresponding successful output:

-- Selecting Windows SDK version 10.0.22621.0 to target Windows 10.0.19045.
-- The C compiler identification is MSVC 19.37.32824.0
-- The CXX compiler identification is MSVC 19.37.32824.0
-- 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/14.37.32822/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/14.37.32822/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
-- Found LLVM 18.1.1:
--    - CMake module path  : D:/LLVM/18.1.1/dist/lib/cmake/llvm
--    - Clang include path : D:/LLVM/18.1.1/dist/include
--    - LLVM Include path  : D:/LLVM/18.1.1/dist/include
--    - Binary path        : D:/LLVM/18.1.1/dist/bin
-- ---- The below configuring for hipify-clang testing only ----
-- Found Python: C:/Users/TT/AppData/Local/Programs/Python/Python312/python.exe (found version "3.12.2") found components: Interpreter
-- Found lit: C:/Users/TT/AppData/Local/Programs/Python/Python312/Scripts/lit.exe
-- Found FileCheck: D:/LLVM/18.1.1/dist/bin/FileCheck.exe
-- Initial CUDA to configure:
--    - CUDA Toolkit path  : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.3
--    - CUDA Samples path  : C:/ProgramData/NVIDIA Corporation/CUDA Samples/v12.3
--    - cuDNN path         : D:/CUDA/cuDNN/8.9.7
--    - CUB path           : D:/CUDA/CUB/cub-2.1.0
-- Found CUDAToolkit: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.3/include (found version "12.3.52")
-- Found CUDA config:
--    - CUDA Toolkit path  : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.3
--    - CUDA Samples path  : C:/ProgramData/NVIDIA Corporation/CUDA Samples/v12.3
--    - cuDNN path         : D:/CUDA/cuDNN/8.9.7
--    - CUB path           : D:/CUDA/CUB/cub-2.1.0
-- Configuring done (1.4s)
-- Generating done (0.1s)
-- Build files have been written to: D:/HIPIFY/build

Run Visual Studio 17 2022, open the generated hipify-clang.sln, build the project test-hipify.

hipify-clang

Contents

hipify-clang#

hipify-clang: dependencies#

hipify-clang: usage#

hipify-clang: using JSON Compilation Database#

hipify-clang: hipification statistics#

hipify-clang: building#

hipify-clang: testing#

hipify-clang: Linux testing#

hipify-clang: Windows testing#