AgitatedTurtle16 could you check with the latest clearml RC (I remember a similar issue was fixed).
pip install clearml==0.17.5rc3Then run again
clearml-task ...

How do I tell from the ClearML UI which datasets version am I using?

Hi SubstantialElk6 , what exactly do you mean by "ClearML UI which datasets am I using" ? Do you mean is there an auto magic adding the dataset ID when you call Data.get() in your code ? (because if you are I specifically remember discussing adding this feature a few days ago, which you just bumped the priority of 😉 )

'conda --version'

For setting trains-server I would recommend the docker-compose, it is very easy to setup, and you just need a single fixed compute instance, details https://github.com/allegroai/trains-server/blob/master/docs/install_linux_mac.md With regards to the "low prio clusters", are you asking how they could be connected with the trains-agent or if running code that uses trains will work on them?

Damn, okay I'll make sure we fix the order.
Could you verify the ~= works as intended (if the order id correct)

Hi GiganticTurtle0
The main issue is the cache=True it will cause the second time you call the function to essentially reuse the Task, ending with the same result.
Can you test with cache=False in the decorator ?

ConvolutedSealion94 if you do bash:
cd ~/work/repo/code/ git statuswhat are you getting ?

PipelineController creates another Task in the system, that you can later clone and enqueue to start a process (usually queuing it on the "services" queue)

Found the issue, fix in the next RC (soon to be out)

An easier fix for now will probably be some kind of warning to the user that a task is created but not connected

That is a good point, maybe if you do not have a "main" Task, then we print the warning (with some flag to disable the warning) ?

Are you sure you passed add_task_init_call=True to task create?

Just verified the with the code base, should work out of the box 🙂 nothing to worry about

@<1523710674990010368:profile|GreasyPenguin14> make sure it to uses https not ssh:
edit ~/clearml.conf

force_git_ssh_protocol: false

and that you have both git_user & git_pass set in your clearml.conf

Sorry my bad, you are looking for:
None

Hi UnsightlySeagull42
Basically you can get the agent to always add additional arguments for the docker run, such as -v for mounting:
https://github.com/allegroai/clearml-agent/blob/948fc4c6ce1ecf33a74619ad570d69b8188f6db9/docs/clearml.conf#L133

agree, but setting the agent’s env variable TMPDIR

I think this needs to be passed to the docker with -e TMPDIR=/new/tmp as additional container args:
see example
None
wdyt?

ERROR: Could not install packages due to an EnvironmentError: 
[Errno 28] No space left on device

BTW: @<1523703080200179712:profile|NastySeahorse61> this sounds like docker out of space on the Main disk '/var/` where it stores all the images and temp file systems
This will cause you code to fail as any runtime change to the container file system will raise this out of disk space error

For that I need more info, what exactly do you need (or trying to achieve) ?

Nice! So out of curiosity why didn't it work this time and you had to do it manually?

GrievingTurkey78 I'm not sure I follow, are you asking how to add additional scalars ?

RipeGoose2 you mean to have the preview html on S3 work as expected (i.e. click on it add credentials , open in a new tab) ?

Sure thing, anyhow we will fix this bug so next version there is no need for a workaround (but the workaround will still hold so you won't need to change anything)

Let me ping you back when the GitHub repo is synced, so you can test the latest and greatest :)

there is probably some way to make an S3 path open up in the browser by default

You should have a pop-up asking for credentials ...
Could you check that if you add the credentials in the profile page it works ?

I will take any suggestion 🙂
git remote -v could be a good start but I'm not familiar with the output structure, is there a template for parsing ?

The fact the html file does not refresh in the browser even though there is a new copy of it uploaded.

Yes this is Triton failing to load the actual model file

Hi MysteriousBee56 ,
what do you mean by:

Can we upload our project repository to trains server?

🤞

It should actually work the same, if you find out it fails to properly register let me know (and then I guess a github issue is the next step)