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I got some errors at pod / dai-gpu container startup when running on a POWER8 w/ GPU and Cuda/Nvidia drivers installed. DAI is still functional though. Don't know if it is a normal behavior when running on ppc64le as it is related to the Tensorflow part. Please advise.
~/dai-gpu# kubectl logs daimop-dai-gpu-69dbf597d-mjbcd -c dai-gpu --namespace default
---------------------------------
Welcome to H2O.ai's Driverless AI
---------------------------------
version: Unable to dynamically import either GPU or CPU version of tensorflow: expt_gpu=[Errno 2] No such file or directory: '/opt/h2oai/dai/cuda-9.0/lib/python3.6/site-packages/tensorflow_gpu/__init__.py' expt_cpu=[Errno 2] No such file or directory: '/opt/h2oai/dai/cuda-9.0/lib/python3.6/site-packages/tensorflow_cpu/__init__.py'
Could not import tensorflow
1.2.2
- Put data in the volume mounted at /data
- Logs are written to the volume mounted at /log
- Connect to Driverless AI on port 12345 inside the container
- Connect to Jupyter notebook on port 8888 inside the container
/opt/h2oai/dai/run-dai.sh: line 38: 146 Killed nohup ./dai-env.sh ./start-h2o.sh &>${RUN_DAI_LOG_DIR}/h2o.out
The text was updated successfully, but these errors were encountered:
I don't believe TF support was completed for 1.2.2
This will need to be fixed by updating the DAI version that the helm chart is using. I will add this as part of the ICP version 3 support
I got some errors at pod / dai-gpu container startup when running on a POWER8 w/ GPU and Cuda/Nvidia drivers installed. DAI is still functional though. Don't know if it is a normal behavior when running on ppc64le as it is related to the Tensorflow part. Please advise.
The text was updated successfully, but these errors were encountered: