Hi @<1792364603552829440:profile|TestyBeetle31>
Yeah so sorry we finally changed the repository name:
None

Where is the broken this link coming from, we will fix it (we are working on it, and some of the services do not auto forward

Okay, let me see...

RoughTiger69
move the files locally (i.e. based on the example move folder b into folder a ) Create a new version with two parents ('a' and 'b') then sync the local root folder ('a' in your case). Only the meta-data should change (because the referenced files are already in one of the datasets)wdyt?

ClearML does

ContemplativeCockroach39 unfortunately No directly as part of clearml 😞
I can recommend the Nvidia triton serving (I'm hoping we will have the out-of-the-box integration soon)
mean while you can manually run it , see docs:
https://developer.nvidia.com/nvidia-triton-inference-server
docker here
https://ngc.nvidia.com/catalog/containers/nvidia:tritonserver

👍

a task of queue B if the next task is of type A it will have to wait,

It seems you imply there are two types of Tasks and they need to be executed one after the other ?

CheerfulGorilla72 my guess is the Slack token does not have credentials for the private channel, could that be ?

But there is no need for 2FA for cloning repo

When are those keys used?

They are the default keys for internal access, basically just make up something, otherwise someoune could access the server with the default keys

Hi PungentLouse55

Hope you are not tired of me

Lol 🙂 No worries

I am using trains 0.16.1

Are you referring to the trains-server version or the python package ? (they are not the same and can be of totally different versions)

ValueError('Task object can only be updated if created or in_progress')

It seems the task is not "running" hence the error, could that be

yes

Hi @<1523701066867150848:profile|JitteryCoyote63>

Hi, how does

agent.enable_git_ask_pass

works

basically it pushes the pass through stdin to git when it asks (it is a git feature)

JitteryCoyote63 I think I found the bug in clearml-task it adds it at the end instead of before everything else

curl -vvv

task=Task.current_task()
Will get me the task object. (right?)

PanickyMoth78 yes, always, from anywhere, this is a singleton object 🙂

You are doing great 🙂 don't worry about it

PanickyMoth78 quick update the fix is already being tested, I'm hoping an RC tomorrow 🙂

so g.processes is None?

Hi DeterminedToad86
I just verified on a clean sagemaker instance everything should just work, see here: https://demoapp.demo.clear.ml/projects/0e919ea1cc5c499b99e1ab85004b6e97/experiments/887edef09d4549e88b829a34c87d4d5b/output/execution Yes if you have more than one file (either notebook or python script) than you must have a git repo, in order to run the task using the Agent.

@<1710827340621156352:profile|HungryFrog27> the venv-build folder is supposed to be deleted after each task is done. How did you end up with leftovers? Could it be windows was failing to delete it for some reason? That actually connects with you initial issue no?

Hi RotundHedgehog76

we have issues with

clearml-agent

when using standalone mode. ...

What is the use case for standalone mode? is this venv or docker mode?

Please go ahead with the PR 🙂

I think the part that is missing for me is the context, in other words how would one configure the execution_plan and why would they configure it in a specific way?
My intuition, without fully understanding it, is that for some reason the internal DAG/decision is exposed to the user, and it feels like too much information. Basically I have a hunch that the users should not need to have such deep understanding to control the flow, and they should end up with an abstraction on top of it. ...

are you referring to the same line? 47 in cache.py?

Yes, that makes sense. But did you see the callback being executed ? it seems it was supposed to, then the next call would have been 2:30 hours later, am I missing something ?

I just tested the master with https://github.com/jkhenning/ignite/blob/fix_trains_checkpoint_n_saved/examples/contrib/mnist/mnist_with_trains_logger.py on the latest ignite master and Trains, it passed, but so did the previous commit...

Hi @<1618056041293942784:profile|GaudySnake67>
Task.create is designed to create an External task not from the current running process.
Task.init is for creating a Task from your current code, and this is why you have all the auto_connect parameters. Does that make sense ?

CooperativeFox72
Could you try to run the docker and then inside the docker try to do:
su root whoami