DL4J GPU setting Error messages with Windows 10 (64) G540m Knime3.5

KNIME Extensions Deep Learning
#1

Hi,

Is there anyone can point out what is missing?

I was able to use GPU setting to run most of examples in 04_Analysis/14_DeepLearning/01_DL4J (ex 03-10). The setting was Windows 10 64bit, Knime 3.5 (upgraded from3.4),cuda 8.0 and 9.1 (just installed). (java 8, update 161,both 32 and 64 bit installed)

When I was running the DL MNIST tutorial, my laptop had an unexpected shutdown. After reboot, when I start Knime, it complains it can only use cuda 7,5 and 8.0. with the following error messages:

ERROR RepositoryManager               MetaNode alexnet' from plugin 'org.knime.ext.dl4j.base' could not be created: org/deeplearning4j/nn/api/Model
ERROR RepositoryManager               MetaNode deepmlp' from plugin 'org.knime.ext.dl4j.base' could not be created: Could not initialize class org.knime.ext.dl4j.base.DLModelPortObject
ERROR RepositoryManager               MetaNode lenet' from plugin 'org.knime.ext.dl4j.base' could not be created: Could not initialize class org.knime.ext.dl4j.base.DLModelPortObject
ERROR RepositoryManager               MetaNode simplemlp' from plugin 'org.knime.ext.dl4j.base' could not be created: Could not initialize class org.knime.ext.dl4j.base.DLModelPortObject
ERROR RepositoryManager               MetaNode deepbelief' from plugin 'org.knime.ext.dl4j.base' could not be created: Could not initialize class org.knime.ext.dl4j.base.DLModelPortObject

So I uninstalled Cuda 9.1. when I restart Knime, if I didn't turn on the GPU selection DeepLearning 4J integration , (in preference/knime) there is no problem, if I check the GPU box, I got the above message again, and the "DeepLearning 4J integration" got another error message:

Unable to create the selected preference page.
An error occurred while automatically activating bundle org.knime.ext.dl4j.libs (486).

So far, I have tried the following:

1) reinstall all DL4J extensions;

2) reinstall Knime 3.5, and all DL4J extensions,

3) reinstall Cuda 8.0

I got the same results, if I use the previous  knime-workspace (with the GPU box checked), I got the same error messages and the "DeepLearning 4J integration" page can't be opened neither. If I start Knime with a new knime-workspace, it is ok but as soon as I turn on the  GPU selection, I got the same error messages and the "DeepLearning 4J integration" preference also busted.

Anyone has an idea what else I could try to bring my gpu back?

Thanks a lot!

#2

Hi Toushi68,

sorry for your troubles. Could you maybe attach the knime.log file? Also, in Knime 3.5 there is a new option in the DL4J preference page to adjust the available off-heap memory limit DL4J is allowed to use. You could try to set that to the available memory of your GPU.

Cheers

David

 

#3

Hi David,

 

Thank you for your reply. I have attached the log file. This is a "new" log file. I opened a new workspace, where I can open the DL4J preference page , select GPU option, increase the available off-heap memory limit to 4000, and checked the verbose option. After I restarted Knime, I got back the same error messages again.

Let me know if you need any other info.

Thanks

Toushi68

#4

From this log file, it looks like java's issue?

#5

Maybe it's from alexnet?

MetaNode alexnet' from plugin 'org.knime.ext.dl4j.base' could not be created: org/deeplearning4j/nn/api/Model

see this attached file

#6

Hi Toushi68,

Thanks for the log file.

There seems to be a problem with your CUDA installation. The problem is caused by the following DL4J Exception:

"Caused by: org.nd4j.linalg.exception.ND4JIllegalStateException: CUDA backend requires compute capatibility of 3.0 and above to run."

The DL4J Integration will only run with CUDA 8.0 and a compatible GPU. What kind of GPU are you using? Maybe you could try to completely swipe CUDA from your computer and do a clean install of CUDA 8.0. Did you maybe change your hardware in between?

Cheers

David
 

#7

Thank you David for pointing out the issue! It is a hardware problem.

Case closed.

Toushi68

#8

This topic was automatically closed 7 days after the last reply. New replies are no longer allowed.