Extract from micrographs : skcuda_internal.cufft.cufftInternalError

[stjiafle]

I’m not sure, there is regular software update and the cryosparc 4.1.2 update,
but unfortunately I don’t remember if it’s before or after.

edit:
I tried following this, and I’m still getting the same pycuda not found error

@ZhijieLi

Thanks for the solution. We just ran into the same problem with a new ubuntu mate 22.04.

For Ubuntu 22 it seems the operating system’s default libstdc++ is in /lib/x86_64-linux-gnu :

mv libstdc++.so.6.0.28  libstdc++.so.6.0.28_backup 
ln -s /lib/x86_64-linux-gnu/libstdc++.so.6.0.30 libstdc++.so.6.0.28 

For any linux system, the location of the OS’s default libstdc++ lib file can be found by:

ldconfig -p |grep stdc++

In addition, if the libstdc++.so.6.* files in the cryosparc_worker_env/lib directory are simply deleted/renamed, the programs will automatically fall back to the system’s libstdc++, which will work just fine:

mv libstdc++.so.6.0.28  libstdc++.so.6.0.28_backup 
rm libstdc++.so.6
rm libstdc++.so