corepointer commented on pull request #1317: URL: https://github.com/apache/systemds/pull/1317#issuecomment-963678890
> Hi @corepointer , > > the testing does not work on this runner. Any pointers on how to resolve this one. > >  > > cuda, cudnn is available from the command line: > > run results here: https://github.com/j143/systemds/runs/4137852455 You're not rebuilding the binaries yet with cmake, are you? Because then there might have been the issue that Jitify is not there. You need to clone with --recursive to fetch the external dependency. But that is an issue once the current binaries run the test. Two things you could check: Is it CUDA version 10.2 that is installed? This is at the moment the latest version we support (I'm working on CUDA11.x support - it's almost there). The other thing to check: Is a CUDA capable device visible to your VM? You could add the command "nvidia-smi" to your runner. That should print the available CUDA devices. > > This one runs fine > > ```c > java -Xmx4g -Xms4g -Xmn400m -cp target/SystemDS.jar:target/lib/*:target/SystemDS-*.jar org.apache.sysds.api.DMLScript -f ../main.dml -exec singlenode -gpu > ``` This one isn't using any GPU instructions though ;-) PS: I've rebased to current main branch and cherry picked the commits you added. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
