Hi TightElk12

it would raise an error if the env where execution happens is not configured to track things on our custom server to prevent logging to the public demo server ?

What do you mean by that? catching the default server instead of the configured one ?

I see TightElk12

You can always setup the OS environments : CLEARML_API_HOST CLEARML_WEB_HOST CLEARML_FILES_HOST with the correct configuration Or you can simply set CLEARML_NO_DEFAULT_SERVER=1 which will prevent any usage of the default demo serverwdyt?

Hi RipeGoose2
You can also report_table them? what do you think?
https://github.com/allegroai/clearml/blob/master/examples/reporting/pandas_reporting.py
https://github.com/allegroai/clearml/blob/9ff52a8699266fec1cca486b239efa5ff1f681bc/clearml/logger.py#L277

it handles 2FA if my repo lies in Github and my account needs 2FA to sign in

It does not 😞

Basically create a token and use it as user/password

EDIT:
With read-only permissions 🙂

But there is no need for 2FA for cloning repo

Hi SarcasticSparrow10 , so yes it does, this is more efficient when using pytorch loaders, and in some other situations.
To disable it add to your clearml.conf:sdk.development.report_use_subprocess = false2. interesting error, maybe we can revert to "thread mode" if running under a daemon. (I have to admit, I'm not sure why python has this limitation, let me check it...)

SarcasticSparrow10 how do I reproduce it?
I tried launching from a sub process that is a daemon and it worked. Are you using ProcessPool ?

I'll check what we can do on running in a daemon subprocess

So what will you query ?

Where do you store those ?

HarebrainedBear62 this is what I have.
clearml-data will store all the files for you, and version the entire thing, make is a breeze to abstract the dataset from the code. Querying data is available using Apache Drill (though currently it is still not built into the platform, but we are planning to get there soon) Since this is Image based data/meta-data, I know the paid tier of ClearML, has n additional dedicated data management solution specifically for images, with full ability to query m...

I see, let me check something 🙂

I want to optimizer hyperparameters with trains.automation but: ...

Yes you are correct, in case of the example code, it should be "General/..." if you have ArgParser, it should be "Args/..." Yes it looks like the metric is wrong, it should be "epoch_accuracy" & "epoch_accuracy"

if you have cuda 10.2, then the torch 1.3.1 from the cu101 version should work

YEY!

no, using the system drivers

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)

PungentLouse55 I'm checking something here, you might stumbled on a bug in parameter overriding. Updating here soon ...

IdealPanda97 Hmm I see...
Well, unfortunately, Trains is all about free access to all 🙂
That said, the Enterprise edition does add permissions and data management on top of Trains. You can get in touch through the https://allegro.ai/enterprise/#contact , I'm sure someone will get back to you soon.

StaleKangaroo85 check https://demoapp.trains.allegro.ai/projects/0e152d03acf94ae4bb1f3787e293a9f5/experiments/193ac2bced184c49a57658fceb4bd7f9/info-output/metrics/plots?columns=type&columns=name&columns=status&columns=project.name&columns=user.name&columns=started&columns=last_update&columns=last_iteration&order=last_update on the demo server, seems okay to me...

Hmm @<1523701279472226304:profile|SoreHorse95> this is a good point, I think you are correct we need to fix that,

• Could you open a GitHub issue so this is not forgotten ?
• As a workaround I would use clone=True, then after the call I would call task.close() on the original task, wdyt?

right now I can't figure out how to get the session in order to get the notebook path

you mean the code that fires "HTTPConnectionPool" ?

and this

server_info['url'] = f"http://{server_info['hostname']}:{server_info['port']}/{server_info['base_url']}/"

print(requests.get(url='

print(requests.get(url='

What do you have in "server_info['url']" ?

Hmm what do you have here?

os.system("cat /var/log/studio/kernel_gateway.log")

This is very odd ... let me check something

Hi @<1532532498972545024:profile|LittleReindeer37>
Does Hydra support notebooks ? If it does, can you point to an exapmle?

This is strange, let me see if we can get around it, because I'm sure it worked 🙂