I am using clearml_agent v1.0.0 and clearml 0.17.5 btw

ok yes, that makes sense 👍

I’m not too fond of many user configurations, it’s confusing.

100% agree, nevertheless, how much is too many? Currently, there are only two settings in the user preferences category, so one more wouldn’t hurt?

however, clearml is open source, nothing stops you from adding the code and sending a PR

I’d be super happy to contribute yes! Nevertheless, I am not sure where to start: clearml-server repo? clearml-web repo?

btw shoulnd't it be CUDA_VERSION=11.0 ?

Done! Also I tried to use git cache ( https://git-scm.com/docs/git-credential-cache ) as a workaround (hoping that the first time it clones the experiment repo, it caches the creds for the next times, but I then get a different error: fatal: unable to find a suitable socket path; use --socket )

for now it just works

Sure, where can I find this file?

Yes that’s what I did initially, but eventually I decided that it’s too much complexity added for nothing really, I’d rather drop omegaconf and if one day clearml supports it out of the box take advantage of it

TimelyPenguin76 clearml 0.17.5 and clearml-agent 0.17.2

Hi AgitatedDove14 , sorry somehow this message got lost 😄
clearml version is the latest at the time, 1.7.1 Yes, I always see the "model uploaded completed" for such stuck tasks I am using python 3.8.10

How exactly is the clearml-agent killing the task?

yes

The task I cloned from is not the one I though

AgitatedDove14 I see that the default sample_frequency_per_sec=2. , but in the UI, I see that there isn’t such resolution (ie. it logs every ~120 iterations, corresponding to ~30 secs.) What is the difference with report_frequency_sec=30. ?

Nice, thanks!

The rest of the configuration is set with env variables

might be worth documenting 😄

Hi AgitatedDove14 , thanks for the answer! I will try adding 'multiprocessing_context='forkserver' to the DataLoader. In the issue you linked, nirraviv mentionned that forkserver was slower and shared a link to another issue https://github.com/pytorch/pytorch/issues/15849#issuecomment-573921048 where someone implemented a fast variant of the DataLoader to overcome the speed problem.
Did you experiment any drop of performances using forkserver? If yes, did you test the variant suggested i...

Ok interestingly using matplotlib.use('agg') it doesn't leak (idea from here )

Hi SuccessfulKoala55 , not really wrong, rather I don't understand it, the docker image with the args after it

here is the function used to create the task:

` def schedule_task(parent_task: Task,
task_type: str = None,
entry_point: str = None,
force_requirements: List[str] = None,
queue_name="default",
working_dir: str = ".",
extra_params=None,
wait_for_status: bool = False,
raise_on_status: Iterable[Task.TaskStatusEnum] = (Task.TaskStatusEnum.failed, Task.Ta...

In execution tab, I see old commit, in logs, I see an empty branch and the old commit

Hi SuccessfulKoala55 , Can the new accounts (password-protected) have the same names?

AgitatedDove14 yes 🙂

The jump in the loss when resuming at iteration 31 is probably another issue -> for now I can conclude that:
I need to set sdk.development.report_use_subprocess = false I need to call task.set_initial_iteration(0)

I also tried task.set_initial_iteration(-task.data.last_iteration) , hoping it would counteract the bug, didn’t work

Yes, I get 0 afterwards

well I still see some ES errors in the logs
` clearml-apiserver | [2021-07-07 14:02:17,009] [9] [ERROR] [clearml.service_repo] Returned 500 for events.add_batch in 65750ms, msg=General data error: err=('500 document(s) failed to index.', [{'index': {'_index': 'events-training_stats_scalar-d1bd92a3b039400cbafc60a7a5b1e52b', '_type': '_doc', '_id': 'c2068648d2fe5da975665985f44c20b6', 'status':..., extra_info=[events-training_stats_scalar-d1bd92a3b039400cbafc60a7a5b1e52b][0] primary shard is not...

but not as much as the ELB reports

Any chance this is reproducible ?

Unfortunately not at the moment, I could find a reproducible scenario. If I clone a task that was stuck and start it, it might not be stuck

How many processes do you see running (i.e. ps -Af | grep python) ?

I will check that when the next one will be blocked 👍

What is the training framework? is it multiprocess ? how are you launching the process itself? is it Linux OS? is it running inside a specific container ?

I train with p...