Compilation errors due to incorrect GPU architecture

[profitgrowinginnovator]

I got these errors:
src/quantized.cu(1962): error: identifier "__dp4a" is undefined
sumi = __dp4a(v[i], u[i], sumi);
^

18 errors detected in the compilation of "src/quantized.cu".
thread 'main' panicked at /home/remote/.cargo/registry/src/index.crates.io-6f17d22bba15001f/bindgen_cuda-0.1.5/src/lib.rs:391:13:
nvcc error while compiling "src/quantized.cu":

CLI "nvcc" "--gpu-architecture=sm_60" "--ptx" "--default-stream" "per-thread" "--output-directory" "/projects/ai/candle/candle/candle-kernels/target/debug/build/candle-kernels-2b82da83d6e51215/out" "-Isrc" "-I/usr/include" "src/quantized.cu"

They were solved after some ChatGPT and putting this:

export CUDA_COMPUTE_CAP=61

However it would be better to solve this in a more generic way.

Just as an FYI. This happens with Ubuntu 24.04, CUDA 12.6 and 3 Tesla P100.