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The initial issue was that I was compiling with the wrong version of GCC, version 13, while the correct one was version 10. To ensure this, I verified that gcc --version and g++ --version both returned version 10. Once I fixed this, the BACore error was resolved, but I encountered another issue related to cublasLtHSHMatmulAlgoInit. To address this, I uninstalled cublas from pip using the following command: pip uninstall nvidia_cublas_cu11
After this, I successfully installed the DeepLM repository without any further issues [[100%] Built target BACore].
Anyway, I made several changes that may have influenced the outcome, as I initially encountered CUDA errors. For this reason, I will provide the complete pipeline I followed to successfully install DeepLM:
Modify the example.sh script, changing the line cmake .. to: cmake .. -DCMAKE_BUILD_TYPE=Release -DWITH_CUDA=ON -DCMAKE_CUDA_COMPILER=$(which nvcc)
There is no BACore module in pytorch?
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