Will try. Thanks.

It does match the image.

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....

Well the requirements were automatically filled, not by me

Great, I'll try, thanks!

Latest allegro POC server (saips)

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

I am not sure what you mean. This is text, while I grab it from the artifact via python and print it, newlines are printed as expected

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

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

ClearML agent

https://github.com/allegroai/clearml/issues/330

docker mode + services mode

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)

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

I want to access their data

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

I am also running from a NVIDIA container and I get
ERROR: No matching distribution found for tensorflow==2.4.0+nv
clearml_agent: ERROR: Could not install task requirements!

docker image is
http://nvcr.io/nvidia/tensorflow:21.10-tf2-py3
What should I do?

It should be possible somehow, as they are attached to the Task and displayed in the Task's results tab

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

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

I know you can download the data like a json from the plots tab in the UI, but I want the data programmatically

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...

Sure, just a moment

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.

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

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?

Clearml agent 1.1.1