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Thank you firstly for your cuML containers. However, when I tried to compile a newer version, e.g. cuML 24.04, based on the container nvcr.io/nvidia/l4t-cuda:11.4.19-devel, I encountered an error when compiling the raft, which should not be an error --- a variable was declared but never used. I also tried to modify the CMakeLists.txt, but failed.
Later, I gave up compiling from source code, installing cuML 24.04 via conda according to https://docs.rapids.ai/install via conda create -n rapids-24.04 -c rapidsai -c conda-forge -c nvidia cuml=24.04 python=3.9 'cuda-version==11.4'. Though the installation was successful, the excution of CPP DBSCAN example failed (verbose output is listed in the end).
Hi, there.
Thank you firstly for your
cuML
containers. However, when I tried to compile a newer version, e.g.cuML 24.04
, based on the containernvcr.io/nvidia/l4t-cuda:11.4.19-devel
, I encountered an error when compiling theraft
, which should not be an error --- a variable was declared but never used. I also tried to modify theCMakeLists.txt
, but failed.Later, I gave up compiling from source code, installing
cuML 24.04
via conda according to https://docs.rapids.ai/install viaconda create -n rapids-24.04 -c rapidsai -c conda-forge -c nvidia cuml=24.04 python=3.9 'cuda-version==11.4'
. Though the installation was successful, the excution of CPP DBSCAN example failed (verbose output is listed in the end).My physical device information:
nvcr.io/nvidia/l4t-cuda:11.4.19-devel
from https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-cuda/tagsI wonder how you built
cuML
successfully before. Could you please give me some advice? Thank you very much!error.txt
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