Hi

we already using glue to manage our gpu pods. The agents we use for the pipelines are simple cpu agent.

I will check it and update you

I just use:
dataset = Dataset.create( dataset_name=dataset_name, dataset_project=dataset_project, # parent_datasets=[d1], )

no problem, you and your team are very responsive and help us a lot.

For now we used a workaround and forked the helm charts repo and we changed in the agents deployment.yaml, instead of taking the key and secret from the clearml-conf secret we take them from another secret we created so the server does not “know” about this new key and secret and does not reset them

I try to install package from our github

yes

For now we store only one file in a dataset.

Immediately after i use “add_external_files” i see it changed the original file link and removed from it the “ gs://bucket_name ”

Thanks David,
Yes, I have the issue in pipelines and I use the decorators method for the pipelines.
The pipeline include scripts from several files.
If I put the import in the pipeline main file it works, but if the import is in another file (which is imported by the pipeline main file) it does not work.
The import is needed in one of the tasks (which is also on a different file) - I tried put ting the import on the top of the task file and also inside the task method but it didn’t work.
Also...

not getting any error when uploading.
I use “add_external_files” so it is not really uploading the file just the dataset info

I just downgraded to 1.7.2, will wait for the fix.
Thanks for the workaround.

no, it work if the tag exist and i do other change to the task. but if the task does not have the task and I just add the tag the event is not trigger.

Hi SuccessfulKoala55
Yes, it seems version v1.6.2rc0 solved the problem.

not urgent after we used the workaround

I do not remember exactly all the steps we did, but with the help of clearml team we found solution by adding:
Task.add_requirements((…)outside the pipeline code

Works locally but not when running inside agent.
I found that adding the:
Task.add_requirements('protobuf', '<=3.20.1')before the pipeline decorator it works

I am getting this error:
clearml.task - WARNING - Requirement ignored, Task.add_requirements() must be called before Task.init()

Where should i put this line? inside the pipeline function?

I use the decorators method and there is no “packages” param to the pipeline decorator, i added it to the task decorator “packages” param but it didn’t help

thanks

can we use multiple k8s-glue - one for cpu and one for gpu pods?

Hi,
issue: https://github.com/allegroai/clearml/issues/714

Thanks for your help

for now we used fixed number of cpu agents but it will be better if it was dynamic with glue agent

Thanks, (works when using sdk 1.4.1)

thanks for your help

ok,
just a small question, is the parameter “defaultContainerImage” tell the glue agent which image to use for the spawned agent ?