the agent does not auto-refresh the configuration, after a conf file change you should restart the agent, after that it should present the new configuration when loading
Hi UnevenDolphin73
If you "remove" the lock file the agent will default to pip.
You can hack it with uncommitted changes section?
Hi RotundHedgehog76
I think it should work out of the box, I mean at the end both spin jupyter notebooks, which is what clearml interacts with. Are you getting any errors?
No (this is deprecated and was removed because it was confusing)
https://github.com/allegroai/clearml-agent/blob/cec6420c8f40d92ab1cd6cbe5ca8f24cf351abd8/docs/clearml.conf#L101
Hi ShinyPuppy47 ,
Yes that is correct. Use Task.init for automagic logging
You need to use tf.summary.image and not summary_ops_v2.image
Fixed on main branch (see github issue), RC later today
Image needs to be in range [0, 1] and not [0, 255] (matplotlib and tensorboard can handle either one)
Is there a code to reproduce ?
CrookedWalrus33 from the log it seems the code is trying to use "kwcoco" but it is not listed under any "Installed packages" nor do you see any attempt to install it. Can you confirm ?
The base task is self-contained i.e. it downloads training/eval directly data and has direct access to it
I think this is the main issue, how come it does not catch it? Are you using argparser ?
Could it be the Args section of the task it clones does not have the "input_train_data" argument ?
Hi ResponsiveHedgehong88
With clearml-task the assumption is that you are using argparse. Does that make sense? You can also manually access it with task.get_parameters
https://clear.ml/docs/latest/docs/references/sdk/task#get_parameters
I see, when you run it manually (i.e. not via an agent) what do you have under the configuration tab in the UI (meaning do you see both argparser arguments there)?
. So i'd like to use the command line argument it in the first argparse, and then hide/delete/override before running the second argparse.
Nice, hack!
JitteryCoyote63 of course there is 🙂Task.debug_simulate_remote_task(task_id="<task_id_here>")
AttractiveCockroach17 I verified this is an issue with hypeparemeters with "." or section names with ".", thank you for noticing!
I will make sure I pass it along, should be part of the next version (ETA a week) 🙂
This seems more complicated that I thought... I think you are correct, and it fails to load the entire module, let me check what I can do
Since I'm assuming there is no actual task to run, and you do not need to setup the environment (is that correct?)
you can do:$ CLEARML_OFFLINE_MODE=1 python3 my_main.pywdyt?
Hi WickedGoat98
I try to write an article on medium about ClearML and face some a problem with plotly figures.
This is awesome !
I ran the plotly_reporting.py example locally and the uploaded plot was ok.
So are you saying the same example code from the repository worked okay on your server but showed nothing on the hosted server ?
Is trains-agent using docker-mode or virtual-env ?
It does, tested 🙂 but you should as well
That said , if you could open a github issue and explain the idea behind it, I think a lot of people will be happy to have such process , i.e. CI process verifying code. And I think we should have a "CI" flag doing exactly what we have in the "hack" wdyt?
ClearML maintains a github action that sets up a dummy clearml-server,
You have one, it's the http://app.clear.ml (not a dummy one, but for this purpose it will work)
thoughts ?
In the Task log itself it will say the version of all the packages, basically I wonder maybe it is using an older clearml version, and this is why I cannot reproduce it..
Please attach the log 🙂
WickedGoat98 Same for me, let me ask the UI guys, I think this is a UI bug.
Also maybe before you post the article we could release a fix to both, what do you think?
EDIT:
Never mind 🙂 i just saw the medium link, very cool!!!
WickedGoat98 this is awesome! Let me know how I could help 🙂
BTW: I checked regrading the plot comparison, this is a BE issue due to the size of the plot, I was told a fix will be deployed in a day or two.
so the docker didnt use the dns of the host?
I'm assuming it is not configured on your DNS, otherwise it would have been resolved...
I'm saying that because in the task under "INSTALLED PACKAGES" this is what appears
This is exactly what I was looking for. Thanks!
Yes that makes sense, I think this bug was fixed a long time ago, and this is why I could not reproduce it.
I also think you can use a later version of clearml 🙂