What's the error you are getting ?

CheerfulGorilla72 could it be the server address has changed when migrating ?

This is good stuff! Keep us posted here, I'll do my best to support live 😍

LOL

CheerfulGorilla72

upd: I see NAN in the tensorboard, and 0 in Clearml.

I have to admit, since NaN's are actually skipped in the graph, should we actually log them ?

LOL, great minds and so on 🙂

So it seems to get the "hint" from the type:
This will work
tf.summary.image('toy255', (ex * 255).astype(np.uint8), step=step, max_outputs=10)wdyt, should it actually check min/max and manually cast it ?

No. since you are using Pool. there is no need to call task init again. Just call it once before you create the Pool, then when you want to use it, just do task = Task.current_task()

In terms of creating dynamic pipelines and cyclic graphs, the decorator approach seems the most powerful to me.

Yes that is correct, the decorator approach is the most powerful one, I agree.

Hi ShinyRabbit94

system_site_packages: true

This is set automatically when running in "docker mode" no need to worry 🙂
What is exactly the error you are getting ?
Could it be the container itself has the python packages installed in a venv not as "system packages" ?

Hi ExuberantParrot61
Is the pipeline logic code running from inside the repo?

Can my request be made as new feature so that we can tag same type of graphs under one main tag

Sure, open a Git Issue :)

Hmm it should probably be pinned

Just tried: also works with 0.17.2

Great!

try these values:

os.environ.update({
    'CLEARML_VCS_COMMIT_ID': '<commit_id>',
    'CLEARML_VCS_BRANCH': 'origin/master',
    'CLEARML_VCS_DIFF': '',
    'CLEARML_VCS_STATUS': '',
    'CLEARML_VCS_ROOT': '.',
    'CLEARML_VCS_REPO_URL': '

',
})

task = Task.init(...)

That somehow the PV never worked and it was all local inside the pod

Hi EnviousStarfish54
After the pop up do you see the plot on the web UI?

Hi CynicalBee90
Sorry, I missed the reply.

"I think we’ll leave the checkmark and the warning and just write SSPL below," Sounds like a good solution 👍
2. I have to admit, I would just write "language agnostic", but I will not insist further, so if you feel "platform" helps in explaining the reasoning, I'm with you.
3. "... to do smart analysis on my logged data easily, ..."
If this is the criteria, none of the options is Very easy, but they all have an interface.. not sure how to com...

Hi Guys, just curious here, what's was the final issue?
Also out of curiosity, what does that mean? "1.12.2 because some bug that make fastai lag 2x" ?

Now, when I add delta to calculate the variation of this: error: bad_data: 1:110: parse error: ranges only allowed for vector selectors

This means your avg is already a scalar (i.e. not a vector) which means you can (as you said) have the alert based on that

StraightDog31 how did you get these ?
It seems like it is coming from maptplotlib, no?

Hi @<1569858449813016576:profile|JumpyRaven4>

• The gunicorn logs do not show anything including any error or trace of the 502 only siege reports the 502 as well as the ALB.Is this an ALB or an ELB ?
  What's the timeout its configured?
  Do you have GPU instances as well? what's the clearml-serving-inference docker version ?

Thanks CleanPigeon16
Could you verify Task "d1d361d1059c4f0981200f59d7683773" exists (and not archived)?

Hi VexedCat68
What type of data is it? And what type of annotations?
Streaming data into the training process is great, but is it post quality control?

Hi GrotesqueOctopus42

creates a graph of the neural network and would be nice to have it on the experiment logs aswell

I think the main issue is displaying later in the UI, thoughts?
BTW: is this useful for you outside f very local TF debugging ?

SmarmySeaurchin8 could you test with the latest RC
pip install clearml==0.17.5rc2

Would I be able to add customized columns like I am able to in 

task.connect

 ? Same question applies for parallel coordinates and all kinds of comparisons

No to both 😞

What about Calling Taskl.init Without the agent?

@<1523701523954012160:profile|ShallowCormorant89> can you verify it is reproducible in 1.9.3 ? because if it is I'd like to fix that 🙂

will it be possible for us to configure the "new run" button in a way so that it always clones from a particular pipeline ?

What do you mean by "particular pipeline" ? by default it will clone the last successful one, and by right clicking a specific one you can run a copy of that one. what am I missing ?

Hi @<1654294828365647872:profile|GorgeousShrimp11>

can you run a pipeline on a

schedule

or are schedules only for Tasks?

I think one tiny details got lost here, Pipelines (the logic driving them) are a type of Task, this means you can clone and enqueue them like other tasta
(Task.enqueue / Task.clone)
Other than that looks good to me, did I miss anything ?