Daniil Fukalov
54 строки
2.3 KiB
Markdown
54 строки
2.3 KiB
Markdown
# HIPIFY
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The CLANG-based HIPIFY tool - translates CUDA to [HIP](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/blob/master/README.md)
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# How to Build tool *in llvm source tree*
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- get LLVM, CLANG and clang-tools-extra sources
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- put hipify folder into llvm/tools/clang/tools/extra, add it to llvm/tools/clang/tools/extra/CMakeLists.txt
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- run cmake and build tool
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```
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git clone http://llvm.org/git/llvm.git llvm
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git clone http://llvm.org/git/clang.git llvm/tools/clang
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git clone http://llvm.org/git/clang-tools-extra.git llvm/tools/clang/tools/extra
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git clone https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP-hipify.git llvm/tools/clang/tools/extra/hipify
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echo "add_subdirectory(hipify)" >> llvm/tools/clang/tools/extra/CMakeLists.txt
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mkdir llvm_build && cd llvm_build
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cmake -DLLVM_TARGETS_TO_BUILD="X86;NVPTX;AMDGPU" ../llvm
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make
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```
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# How to Build *standalone* tool
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- Get LLVM and CLANG sources, build them and install to a **LLVM_INSTALL_PATH** folder
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- mkdir for hipify, run cmake there and build the tool:
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```
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git clone http://llvm.org/git/llvm.git llvm
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git clone http://llvm.org/git/clang.git llvm/tools/clang
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mkdir llvm_build && cd llvm_build
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cmake -DCMAKE_INSTALL_PREFIX="LLVM_INSTALL_PATH" -DLLVM_INSTALL_UTILS=ON -DLLVM_TARGETS_TO_BUILD="X86;NVPTX;AMDGPU" ../llvm
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make && make install
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git clone https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP-hipify.git path_to_hipify_src
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mkdir path_to_hipify_src/build && cd path_to_hipify_src/build
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cmake -DLLVM_DIR="LLVM_INSTALL_PATH" -DHIPIFY_STANDLONE=1 ..
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make
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```
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# How to run tests (for *standalone* tool only)
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- install Python and add python-setuptools
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- install lit python script
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- make sure that FileCheck util is installed to **LLVM_INSTALL_PATH/bin/FileCheck**
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- run tests from path_to_hipify_src/build
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```
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sudo apt-get install python python-setuptools
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sudo easy_install lit
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make -C path_to_hipify_src/build test
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```
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# Notes
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- To run, the tool needs "cuda minimal build" package:
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1. Download target installer from https://developer.nvidia.com/cuda-downloads. Choose "deb(network)" installer type to reduce downloaded packages size (we don't need the whole set)
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2. Run `sudo dpkg -i cuda-repo-ubuntu1404_7.5-18_amd64.deb`
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3. Run `sudo apt-get update`
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4. Run `sudo apt-get install cuda-minimal-build-7-5 cuda-curand-dev-7-5` - this will install needed files, (without nvidia drivers, runtime, tools etc.)
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