I have the L4T docker image from which I built PyTorch and other dependencies onto during the build phase. Inside the container with CUDA mounted, I installed pycuda (
pip3 install pycuda). When I try to run my application I get the following error:
import pycuda.driver as cuda File "/usr/local/lib/python3.6/dist-packages/pycuda/driver.py", line 62, in <module> from pycuda._driver import * # noqa ImportError: libcurand.so.10: cannot open shared object file: No such file or directory
At first my
LD_LIBRARY_PATH variable was set to “/usr/local/cuda-10.2/targets/aarch64-linux/lib”. I’m assuming this is so because the host system this image was built on used cuda 10.2? I changed this path variable to “/usr/local/cuda-10.0/targets/aarch64-linux/lib” in the ~/.bashrc file then ran
In /usr/local/cuda-10.0/targets/aarch64-linux/lib (which is shared) I have a libcurand.so.10.0 file and libcurand.so.10.0.326 file, but not libcurand.so.10.
I’m extremely confused because this application I wrote works in the host system. It seems pycuda wants to use a file that does not exist in the shared cuda directory inside the L4T container. Is there something I am missing here?
nvcc --version in the image returns
Cuda compilation tools, release 10.2, V10.2.89 where I have CUDA 10.0 installed on the host system. And now I’ve found that this image only officially supports CUDA 10.2.