Hover over the border (I would suggest to use the full screen, i.e. maximize)

Yes you can drag it in the UI :) it's a new feature in v1

JitteryCoyote63 Is this an Ignite feature ? what is the expectation ? (I guess the ClearML Logger just inherits from the base ignite logger)

WackyRabbit7 This is a json representation of the entire plot (basically how plotly sees it).
What you are after is:
full_json[0]['cells']['values']Which is a list of lists (row order) in the table

SubstantialElk6 if you call Task.init with continue_last_task=<task_id> it will automatically add the last_iteration of the previous run, to any logging/report so you never overwrite the previous reports 🙂

The agent is installing the "Installed Paclages" section of the Task (think of it as requirements.txt)
And again, what do you have there? Is it the outcome of the Task.init auto populating it?

Sounds good?

-e

:user/private_package.git@57f382f51d124299788544b3e7afa11c4cba2d1f#egg=private_package

Is this the correct link to the repo and a valid commit id ?

Can you post a few more lines from the agent's log ?
Something is failing to install I'm just not sure what

Just making sure, the original code was executed on python 3?

Are you running it in venv mode or docker mode?

Can you send the full log? This is odd, it will by default use the python executable it (the agent) is running with.
Regardless you can specify the python executable to be used here:
https://github.com/allegroai/clearml-agent/blob/bd411a19843fbb1e063b131e830a4515233bdf04/docs/clearml.conf#L44

BTW:
This is very odd "~/.clearml/venvs-builds.3/3.6/bin/python" it thinks it is using "python 3.6" but it is linked with python 2.7 ...
No idea how that could happen

This is done in the background while accessing the cache, so it should not have any slowdown effect

New python executable in /home/smjahad/.clearml/venvs-builds/3.6/bin/python2

This is the output of venv create this is odd.
Could it be that by accident you did:
pip install cleamrl-agentand not
pip3 install clearml-agentand now it is running on python2 (which would explain the error) ?
I would uninstall/reinstall on python3 to verify

If this doesn't help.
Go to your ~/clearml.conf file, at the bottom of the file you can add agent.python_binary and change it to to the location of python3.6 (you can run which python3.6 to get the full path):
agent.python_binary: /full/path/to/python3.6

BTW: do notice to install the agent on the system python packages and Not on any venv.

Can you test with the latest RC:
pip install clearml==1.0.3rc0

Funny it's the extension "h5" , it is a different execution path inside keras...
Let me see what can be done 🙂

So without the flush I got the error apparently at the very end of the script -

Yes... it's a python thing, background threads might get killed in random order, so that when one needs a background thread that died you get this error, which basically should mean you need to do the work in the calling thread.
This actually explains why calling Flush solved the issue.
Nice!

is it displaying that it is running anything?

Hi CharmingPuppy6
Basically yes there is.
The way clearml is designed, is to have queues abstract different types pf resources. for example a queue for single gpu jobs (let's nam "single_gpu") and a queue for dual gpu jobs (let's name it "single_gpu").
Then you spin agents on machines and have the agents pull jobs from specific queues based on the hardware they have. For example we can have a 4 GPU machine with 3 agents, one agent connect to 2xGPUs and pulling Tasks from the "dual_gpu...

SmugOx94 could you please open a GitHub issue with this request, otherwise we might forget 🙂
We might also get some feedback from other users

I think this is the only mount you need:

Data persisted in every Kubernetes volume by ClearML will be accessible in /tmp/clearml-kind folder on the host.

SuccessfulKoala55 is this correct ?

Thanks RipeGoose2 !

clearml logging starts from n+n (thats how it seems) for non explicit

I have to say it looks like the expected behavior , I think.
Basically matching the TB, no?

I can't find out how to pass my custom clearml.conf

Hi @<1544491301435609088:profile|TeenyElk27>
The easiest is to map it into the container in your docker-compose
(map a host clearml.conf into /root/clearml.conf inside the container)

I think this is the discussion you are after:
https://clearml.slack.com/archives/C01H5VAUZ8R/p1612452197004900?thread_ts=1612273112.002400&cid=C01H5VAUZ8R

You might need to update it to the latest Detection API 😞

Nice catch AverageBee39 🙂

Hi FunnyTurkey96
Any chance you can try to run with the latest form GitHub (i just tested your code and it seemed to work on my machine).
pip install git+

GrumpyPenguin23 could you help and point us to an overview/getting-started video?