I have made a PR request.

Thanks you!!! 🎉 we will merge shortly 🙂

Hi DeliciousBluewhale87
You mean per Task? Is it reporting? Is it like the project overview?

Because by definition the Task already exists

No, an old experiment changed, nothing was rerun

ohh, that is odd. I think the max iteration value is stored on the DB, which is odd if it changed after an update.
BTW: just making sure, could it be these Tasks were imported ? (i.e. offline execution + import)

We abuse the object description here to store the desired file path.

LOL, yep that would work, I'm assuming you have some infrastructure library that does this hack for you, but really cool way around it 🙂

And last but not least, for dictionary for example, it would be really cool if one could do:

Hmm what you will end up now is the following behaviour,
my_other_config['bar'] will hold a copy of my_config , if you clone the Task and change "my_config" it will hav...

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

It does not 😞

this is not the case as all the scalars report the same iterations

MassiveHippopotamus56 could it be the the machine statistics? (i.e. cpu/gpu etc. these are considered scalars as well...)

Run ifconfig

And this is with the latest pycharm plugin 1.1.0 ?

let me check when a fix can be deployed for Hydra...

MagnificentSeaurchin79 making sure the basics work.
Can you see the 3D plots under the Plot section ?
Regrading the Tensors, could you provide a toy example for us to test ?

Thanks!

PricklyJellyfish35 yes that's kind of what I was thinking 🙂
I still wonder if we should configure it or just have both.
Could I ask you to open a GitHub issue on this feature request, I'd love to get some input on what would make more sense to implement. Regardless it is not a major change and should be very quick to implement

I think you cannot change it for a running process, do you want me to check for you if this can be done ?

and does the code above reproduce the issue/bug? because obviously should not happen

it is shown in the recording above

It was so odd, I had to ask 🙂 okay let me see if we can reproduce

I don’t have any error message in the browser console - Just an empty array returned on events.get_task_logs. This bug didn’t exist on version 1.1.0 and is quite annoying…

meaning the RestAPI returns nothing, is that correct ?

SubstantialElk6 if you call Task.init with continue_last_task=<task_id> it will automatically add the last_iteration of the previous run, to any logging/report so you never overwrite the previous reports 🙂

Done!

Thanks

fatal: unable to find a suitable socket path; use --socket

 )

Look here https://stackoverflow.com/questions/5015732/why-do-i-get-unable-to-connect-a-socket-when-i-try-to-clone-via-a-git-url

I think that's the root cause, we should probably also add https://github.com/allegroai/trains-agent/issues/16

Nice catch AverageBee39 🙂

Hi ShaggyHare67 ,
Yes the trains.conf created by trains-agent is basically an extension of the trains usage (specifically it adds a section for the agent)
I'm assuming you are running the agent on the same development machine.
I guess the easiest is to rename the trains.conf to trains.conf.old and run trains-agent init
(No need to worry, the trains package supports it , so the new configuration file that will be generated will work just fine)

Released:
https://github.com/allegroai/clearml/releases/tag/1.1.1

Change to add_missing_installed_packages=False, here, and see if you end up with git diff
https://github.com/allegroai/clearml/blob/1f82b0c4010799be6157f5c845c7f6ac48e71c0c/clearml/backend_interface/task/populate.py#L158

Unfortunately this sounds a classic case of RBAC (role based access control), and only the enterprise version has that feature (I think there is a contact us button on the website for those queries).
The easiest way to support the use case you describe is to share on a Task level 😞

Depends on what you want to do, what do you want to do ?

Full markdown edit on the project so you can create your own reports and share them (you can also put links to the experiments themselves inside the markdown). Notice this is not per experiment reporting (we kind of assumed maintaining a per experiment report is not realistic)

ideally, I want to hardcode, e.g. use_staging = True, enqueue it; and then via clone-edit_user_properties-enqueue in UI start the second instance (edited)

Oh I see!
Actually the easiest would be to use a Section:
` task = Task.init(...)
my_params = {'use_staging': True}
task.connect(my_params, name="General")
if my_params['use_staging']:
# do something

scheduler = TaskScheduler(...) `wdyt?

So could you re-explain assuming my piepline object is created by 

pipeline = PipelineController(...)

?

pipe.add_step(name='stage_train', parents=['stage_process', ], monitor_artifact=['my_created_artifact'], base_task_project='examples', base_task_name='pipeline step 3 train model', parameter_override={'General/dataset_task_id': '${stage_process.id}'})This will put the artifact names "my_created_artifact" from the step Tas...

Basically it gives it direct access to the host, this is why it is considered less safe (access on other levels as well, like network)

All the 3 steps can be found here:
https://github.com/allegroai/trains/tree/master/examples/pipeline

Hi @<1546665666675740672:profile|AttractiveFrog67>

• Make sure you stored the model's checkpoint (either pass output_uri=True in Task.init or manually upload)
• When you call Task.init pass " continue_last_task=True "
• Now you can do last_checkpoint=task.models["output"][-1].get_local_copy() and all you need is to load last_checkpoint