![Profile picture](https://clearml-web-assets.s3.amazonaws.com/scoold/avatars/ImmensePenguin78.png)
Reputation
Badges 1
45 × Eureka!TimelyPenguin76
Wouldn'ttask.mark_failed() task.close()
Work?
I'd like if possible a command line, same as I'd just sent, to recognize the specific worker that was brought up in this manner and kill only it
SuccessfulKoala55 On another note, I'm also getting
ERROR: Could not find a version that satisfies the requirement pandas==1.3.4 (from versions: 0.1, 0.2, 0.3.0, 0.4.0, 0.4.1, 0.4.2, 0.4.3, 0.5.0, 0.6.0, 0.6.1, 0.7.0, 0.7.1, 0.7.2, 0.7.3, 0.8.0, 0.8.1, 0.9.0, 0.9.1, 0.10.0, 0.10.1, 0.11.0, 0.12.0, 0.13.0, 0.13.1, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 0.15.2, 0.16.0, 0.16.1, 0.16.2, 0.17.0, 0.17.1, 0.18.0, 0.18.1, 0.19.0, 0.19.1, 0.19.2, 0.20.0, 0.20.1, 0.20.2, 0.20.3, 0.21.0, 0.21.1, 0.22.0, 0.23....
AgitatedDove14 , could it be that the GitHub is not synchronized? I can find only up to 1.2.0.rc3 in it.
A task can also have plots - for example 2d scatter plots and histograms
scalars are only some of the results a Task can have
with a self-hosted clearml server
docker mode + services mode
My own agent.
I want to clarify:
I was asking if such a feature exists (that limits number of simultaneous service tasks that can be brought up when using service mode) and if so how can I utilize it.
Hi SuccessfulKoala55 , just for clarification, running
clearml-agent daemon --services-mode 5 --detached --cpu-only --queue cpu_queue --docker
would allow at most 5 concurrent services, right?
Yes, fail it and then close it
SuccessfulKoala55 , meanwhile I try that, I encounter something weird. I am using a clearml agent with the following
clearml-agent daemon --detached --docker --gpus 0,1,2,3 --dynamic-gpus --queue kenny_1_gpu_queue=1
But for some reason although all the gpus are free and no other agent is on the machine, only one task is executed at the time instead of 4. Why is that?
Or should the task.close appear before the task.mark_failed?
Great, it is quite important for my use case. If you could also allow task.get_reported_console_output()
to get a log level as input (or minimal log level), I'd be grateful.
Partially, as I wanted to get logs with a level of ERROR and above, but using APIClient I've managed to get the reports anyway. Thanks.