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| language | bash |
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| theme | DJango |
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| title | Terminal N. Explaining the use the "hello_jobstep" code from an salloc session (list allocated GPUs)Loading ROCm module and using the hipify-perl tool for translating the code from CUDA to HIP |
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| $ module load rocm/<version>
$ hipify-perl foo.cu > new_foo.cpp |
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You can then compile the HIP ready . cpp file for the ROCm environment using the HIP/ Clang compiler provided in the ROCm installation:
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| language | bash |
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| theme | DJango |
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| title | Terminal N. Compiling the code with hipcc |
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| $ hipcc new_foo.cpp |
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There are several other utility scripts and options available to support the porting of codes:
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$ echo $(hipconfig --path)
$ findcode.sh hipcc hipconfig hipconvertinplace.sh hip_embed_pch.sh hipexamine.sh hipify-perl roc-obj-extract finduncodep.sh hipcc_cmake_linker_helper hipconvertinplace-perl.sh hipdemangleatp hipexamine-perl.sh hipify-cmakefile hipvars.pm roc-obj-ls |
for example:
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For example, hipify-perl inplace option saves the HIP version of the code in the same file. The original CUDA code is saved in the backup file .prehip:
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| language | bash |
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| theme | DJango |
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| title | Terminal N. Compiling the code with hipcc |
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| $ hipify perl inplace <filename> |
It modifies the filename input inplace , replacing input with hipified output, save backup in . prehip file.
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$ hipexamine-perl.sh <filename/directory>
This script will scan a file/directory to determine which file/files contain CUDA code and how much of that code can be automatically hipified.
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