Hmm can you run:
docker run -it allegroai/clearml-agent-services:latest

LazyFox65 seems like a docker issue.
Can you manually run the docker ?

the question remains though: why docker containers won't launch on 

services

Maybe something with the way it launched on the docker-compose?
(I'm assuming it will fail on any docker container regardless, right?!)

UnevenOstrich23

but interesting that auto-reload config does not working as I expected.

Unfortunately the trains-agent does not support auto reloading the config file yet. If you think this will be a great feature, please feel free to open a GitHub feature request issue 🙂

The difference is whether you are only supplying a "minutes" or you are also passing hour/day etc.
See the examples:
Every 15 minutes
add_task(task_id='1235', queue='default', minute=15)Every hour on minute 20 of the hour (i.e. 00:20, 01:20 ...)
add_task(task_id='1235', queue='default', hour=1, minute=20)

I want the task of human tagging a model to be “just another step in the pipeline”

That makes total sense.
Quick question, would you prefer the pipeline controller to "wait" for the tagging and then continue, or would it make more sense to create a trigger on the tagging ?

1. Be able to trigger the “pure” function (e.g. train()) locally, without any 

 code running, while driving it from a configuration e.g. path to the data.

When you say " without any  http://clear.ml  code" do mean without the agent, or without using the Clearml.Dataset ?

Be able to trigger the “

 decorator” (e.g.  train_clearml()) while driving it from configuration e.g. dataset_id

Hmm I can think of:
` def train_clearml(local_folder=None, dataset_id=None):
...

Hi RoughTiger69

How about using the pipeline decorator as a way to run this logic?
https://github.com/allegroai/clearml/blob/master/examples/pipeline/pipeline_from_decorator.py

I think I'm missing the context of where the code is executed....

btw: you can now set the configuration_objects directly when calling add_step 🙂
https://clearml.slack.com/archives/CTK20V944/p1633355990256600?thread_ts=1633344527.224300&cid=CTK20V944

PunyBee36 to get https add an aws elb before the server , the elb will add the https to any outside connection

Hi @<1523704207914307584:profile|ObedientToad56>

hat would be the right way to extend this with let's say a custom engine that is currently not supported ?

as you said 'custom' 🙂
None
This is actually a custom engine, (see (3) in the readme, and the preprocessing.py implementing it) I think we should actually add a specific example to custom so this is more visible. Any thoughts on what would...

Interesting, do you think you could PR a "fixed" version ?
https://github.com/allegroai/clearml-web/blob/2b6aa6043c3f36e3349c6fe7235b77a3fddd[…]app/webapp-common/shared/single-graph/single-graph.component.ts

Thanks that helps!
Maybe we just create a copy of the plot that gets "stuck"

No worries, I'm just glad you managed to figure the source of the issue 🙂

bash: line 1: 1031 Aborted (core dumped)

@<1570583227918192640:profile|FloppySwallow46> seems like the processes crashed,

Maybe I can plot it using other lib.

I remember a while back there was integration with network visualization but it was hard to support and failed to many times...
If you have library that converts the network into html or image you can report it as debug sample?

I was wondering about what i can do with the agent's argparse magic

You mean how to pass arguments to components a pipeline? btw did you check the pipeline example here?
None

I can't see any reason it should not work 😀

hurray 🎊

when u say use 

Task.current_task()

 you for logging? which i’m guessing that the fastai binding should do right?

right, this is a fancy way to say, make sure the actual sub-process is initializing ClearML so all the automagic kicks in, since this is not "forked" but a whole new process, calling Task.current_task is the equivalent of calling Task.init with the same arguments (which you can also do, I'm not sure which one is more straight forward, wdyt?)

I would guess that for some reason loglevel is DEBUG, could that be the case?

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

FierceRabbit20 it seems the Pipeline Task that was created is missing the "installed requirements" section. How are you creating the actual pipeline Task? is this from code?

I was able to see a configuration file under artifacts

Okay that is odd, it should have been under the configuration section, but as your screenshot shows this is not the case...
but the code specifically adds it:
None
called here:
None
wdyt?

Hi UnevenDolphin73

Does ClearML somehow

remove

any loggers from

logging

module? We suddenly noticed that we have some handlers missing when running in ClearML

I believe it adds a logger, it should not remove any loggers,
What's the clearml version you are using ?

We suddenly have a need to setup our logging after every

task.close()

Hmm that gives me a handle on things, any chance it is easily reproducible ?

You cannot change the 8008 port, it has to be 8008 externally (i.e. from the client side).
You can however do subdomain, but only these will work:
api.mydomain.com app.mydomain.com files.mydomain.com

CooperativeSealion8 let me know if you managed to solve the issue, also feel free to send the entire trains-server log. I'm assuming one of the dockers failed to boot...

CooperativeSealion8

when it first asks me to enter my full name

Where? in the Web?

Hi CooperativeSealion8
Seems like your NoScript addon is blocking the site :)

logger.report_scalar(title="loss", series="train", iteration=0, value=100)
logger.report_scalar(title="loss", series="test", iteration=0, value=200)