Hi LazyTurkey38 ,

Yes, it will create a virtual env for the task

you can use clearml logger for the reporting, like in this example https://github.com/allegroai/clearml/blob/master/examples/reporting/media_reporting.py

no, just run the wizard and start the service (enqueue it or run it locally)

Hi VexedCat68 ,

the scheduler print

Not sure what do you mean here, can you add an example?

Hi VexedCat68

You can use argparse and all the parameters will be log automagically to the hyperparameters section like in https://github.com/allegroai/clearml/blob/master/examples/frameworks/keras/keras_tensorboard.py#L56 example, or just connecting any dict like in https://github.com/allegroai/clearml/blob/master/examples/frameworks/ignite/cifar_ignite.py#L23 example

logger.report_matplotlib_figure(title="some title", series="some series", figure=fig, iteration=1, report_interactive=Fasle)

Hi SubstantialElk6 ,

Please feel free to ask anything 🙂

If nothing is reported, then nothing will be displayed.

For example, if you are reporting to Tensorboard, it will be automatically sent to the UI - https://github.com/allegroai/clearml/blob/master/examples/frameworks/pytorch/pytorch_tensorboard.py (run this example and view the scalers section 🙂 )

GrievingTurkey78 all the packages should have a version, do you have some without?

Hi WackyRabbit7 ,

not sure I get it, you dont see the report in the UI?

👍
this is a message about configuration sync.

Its allow you to change scheduler in runtime by editing the Task configuration object

Hi UnevenDolphin73 , Do you get any preview run this example - https://github.com/allegroai/clearml/blob/master/examples/reporting/artifacts.py ?

you can this description as the preview, can this help?

task.upload_artifact(name='artifact name', artifact_object=artifact_object, preview="object description")

Hi CheerfulGorilla72 , both TB and torch should be reported auto magically, you can also report anything you like manually (include media)

Checking that for you

Which one? If the package is located in additional artifact repositories, you can add it

Hi GreasyPenguin14 ,

You can specify the configuration api section with environment variables, look at https://github.com/allegroai/trains-actions-get-stats for example (just change the TRAINS prefix to CLEARML, e.g. TRAINS_API_ACCESS_KEY -> CLEARML_API_ACCESS_KEY)

Hi TrickySheep9 ,

so running a local notebook with execute_remotely kills the kernel? what version of clearml are you running?

I am using MinIO current with trains=0.16.4, if this will still be an valid option for ClearML (>0.17.0)?

Yes, you can still use it (and many other options, include local and cloud storage),

Hi, what’s storage ClearML is using? I am considering self-host clearML on a Cloud machine, while separated the data storage with our own machine (reduce network cost)

You can choose the one that works for you (Shared folder, S3, GS, Azure, Http).

Hi SmarmySeaurchin8 ,

The trains-agent default uses the ~trains.conf file for credentials, can you verify the api section in this file?

Hi ProudChicken98 ,

You want the agent NOT to create a new env?

The running task in the UI for it

can you attach the full log of the instance? Did the aws scalar output any logs?

👍 let me check it too

yep, but you need to have some initial run for the task to get into the UI (even remote execution mode)

Hi SoggyDog52

1. can you add, after the task has completed, some free text to write down my conclusion of this run?

What kind of information you like to add? You can add a tag to a task. If you like a free text, you can change the description part in the INFO tab. Can this do the trick?

2. I’m having troubles copying the config file from the UI. A simple copy past that’s all. When I try to mark the whole config with the courser it manege to catch just some part.

Do you have...

Hi DeliciousBluewhale87 ,

Do you have your credentials for the S3 bucket in your ~/clearml.conf file?

https://github.com/allegroai/clearml/blob/master/docs/clearml.conf#L76

You can add a limitation to the query page size:
task_filter = {"page_size": <your-limit>, "page": 0}
what do you think?

Hi HighOtter69 ,

Can you share the ClearML version you use?

and the LABELS section is empty for running with the agent? Running locally works?

👍