SuccessfulKoala55
Exactly

Hi SuccessfulKoala55 ,
failed. I read in the docs I can use mark_failed .
How should I use it correctly with task.close()?

with a self-hosted clearml server

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?

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.

Great, thanks

clearml-agent daemon --detached --gpus 0,1,2 --dynamic-gpus --queue 2_gpu_queue=2 --docker --stop

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.

Or should the task.close appear before the task.mark_failed?

Well, on the first task it grabs it opens a different WORKER:gpu0 worker entry as expected while the agent stays with WORKER:dgpu0,1,2,3
but the other tasks on queue won't start and upon the first task's completion the following are not being run on WORKER:gpu0 but on WORKER:dgpu0,1,2,3 instead using only 1 GPU (the task execution says it runs on WORKER:gpu0)

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?

no, in the project name

We think we fixed it.
The problem seemed to be having a path with // and clearml not handling it well

TimelyPenguin76
Wouldn't
task.mark_failed() task.close()Work?

docker mode + services mode

e.g., Dir/To/Stuff//Another

AgitatedDove14 , could it be that the GitHub is not synchronized? I can find only up to 1.2.0.rc3 in it.

Yes, fail it and then close it

SuccessfulKoala55 I've tried changing manually the TF version but it fails. I get:
import tensorflow as tf
File "/root/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/tensorflow/init.py", line 435, in <module>
_ll.load_library(_main_dir)
File "/root/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/tensorflow/python/framework/load_library.py", line 153, in load_library
py_tf.TF_LoadLibrary(lib)
tensorflow.python.framework.errors_impl.NotFoundError: /usr/local/lib/py...

Thanks. But I am not talking about scalars. I am talking about plots I've reported to ClearML using .report_histogram or .report_scatter2d or .report_table

But this is not the data I want

A task can also have plots - for example 2d scatter plots and histograms

Great, I'll try, thanks!

Interesting, thanks!

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....

try making two tasks, both with the same project name (While the project name contains '//') and you will get the same error.

Latest allegro POC server (saips)

project name is: RemoteStorage06/saips06/rdekel/hackathon_baselines/DATA_DIR/
No strange characters as far as I can tell

Well the requirements were automatically filled, not by me

SuccessfulKoala55
Well, I've removed the requirement altogether and now it won't fail on this anymore (TF is provided anyway AFAIK via the image) but now I get the following:

Any ideas?

*Needless to say, when running locally this works with no problem. Also the http://nvcr.io/nvidia/tensorflow:21.02-tf2-py3 image is able to run TRT