Comments (5)
Which operating system do you use and which Docker version? Did you set manually Docker environment variables in the cluster node settings? It might be that at
https://github.com/deepkit/deepkit/blob/master/packages/cli/src/task.ts#L607-L616
there are some invalid values given.
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Thanks for your replay.
I am currently using Docker 19.03.6 in Ubuntu 16.04; I did not set any env variables.
How can I find out which environment value is invalid? I tried add mkdir job
, the issue still exist. Or have you tested some images that work well with deepkit? With it I can verify whether the problem is caused by the docker image or other settings of my cluster.
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All images should work perfectly fine. Which did you use? So you cluster node server has Ubuntu 16.04, right?
You can try starting your image by using docker run imagename
on your server directly in order to see if that works correctly.
from deepkit-ml.
Yes. I tried my own image and the ubuntu official images. They work fine when start on the server. Is it possible to inspect every command the deepkit runs? Or the detailed log about which command failed?
from deepkit-ml.
Is it possible to inspect every command the deepkit runs?
Not yet. I'm currently working on a debug mode so we get valuable insights in such cases.
Or the detailed log about which command failed?
I'm pretty sure one of those variables I linked are wrong, but I don't know yet in which case that happens and which exactly are malformed. I'm afraid you won't easily find out which either since you can't not easily change the source code to inject debug statements.
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Related Issues (20)
- Naming of "Default" experiment list HOT 1
- Scalar plots are empty, log_scalar values only appear on experiment overview HOT 3
- Project name of "deepkit" changes nested directory behavior HOT 4
- Invalid yaml causes GUI to freeze HOT 1
- Experiment log output cannot be copied on Windows
- deepkit link error HOT 2
- Docker build fails HOT 1
- Job Failure HOT 2
- Automatic provisioning of VM instances HOT 7
- Docker Mounts HOT 4
- Registering with Keras fails HOT 9
- Passing additional options to docker
- Links in README are no longer working
- How about the project activity state? HOT 2
- [Feature request] Distributed training HOT 1
- please windows version ? HOT 6
- Is it possible to run this without docker installed on the server? HOT 2
- Is this alive? HOT 1
- Is it possible to download ? HOT 1
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