Sure, just a moment

SuccessfulKoala55
Exactly

no, in the project name

Well the requirements were automatically filled, not by me

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...

Clearml agent 1.1.1

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?

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

Great, thanks

Latest allegro POC server (saips)

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

Will try. Thanks.

Interesting, thanks!

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)

Yes, fail it and then close it

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.

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

scalars are only some of the results a Task can have

I want to access their data

Where else could I witness this?

I was told not to kill the process, also, finding it on my own seems very un-user-friendly

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

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

I assume

This is what I mean

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

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

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

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

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