or this 😛
https://clear.ml/docs/latest/docs/references/sdk/task#models

Hi @<1541592227107573760:profile|EnchantingHippopotamus83> , do you see any of the arguments on the task itself?

I think you can periodically upload them to s3, I think the StorageManager would help with that. Do consider that artifacts are logged in the system with links (each artifact is a link in the end) So even if you upload it to and s3 bucket in the backend there will be a link leading to the file-server so you would have to amend this somehow.

Why not upload specific checkpoints directly to s3 if they're extra heavy?

No, it's all together. I suggest getting the onboarding recordings from your colleagues and watching them

It's in the web UI, next to the settings button

@<1570220858075516928:profile|SlipperySheep79> , you can use top or htop to see running processes on your machine...

Do you have a screenshot of your settings?

Hi @<1661542597597859840:profile|SilkyHawk58> , ClearML doesn't "utilize" the cards directly per se. ClearML enables your code to execute on remote machines (among many other things). However, the one actually utilizing the card is actually your code.

Makes sense?

  --status              Print the worker's schedule (uptime properties, server's runtime properties and listening queues)

Can you also try specifying the branch/commit?

Hmmm Regarding your issue you can use the following env vars to define your endpoint
https://clear.ml/docs/latest/docs/configs/env_vars/#server-connection

What is your usecase? Do you want to change the endpoint mid run?

Hi @<1840924589736071168:profile|EmbarrassedCrab49> , the AI Gateway is part of only the Enterprise version, its not available in the OS

I see. When you're working with catboost, as what type of object is it being passed?

Hi @<1523701875835146240:profile|SkinnyPanda43> , with what email are you trying to login?

Hi @<1610083503607648256:profile|DiminutiveToad80> , I'd suggest using the Datasets feature. But you can however of course upload it as artifacts.

Where are you trying to upload it? Can you provide the full log? Also, a code snippet would help.

Hi @<1546303293918023680:profile|MiniatureRobin9> , can you please add the full log of the run? Also, do you have some code that reproduces this?

Hi! I think there is an example in the repo:
https://github.com/allegroai/clearml/blob/master/examples/reporting/scatter_hist_confusion_mat_reporting.py
🙂

FreshKangaroo33 , I'm sorry for the delay. It looks like it will require a feature request. Maybe open a github issue to track it? 🙂

Hi @<1706116294329241600:profile|MinuteMouse44> , this section is only for aws s3 configuration. Please see the minio example - None

This is the relevant section:

sdk {
    aws {
            s3 {
                # default, used for any bucket not specified below
                key: ""
                secret: ""
                region: ""
    
                credentials: [
                    {
                        # Thi...

Hi JuicyOtter4 , not sure you can disable certain scalars but you can disable auto logging of specific frameworks using the method showed here:
https://www.youtube.com/watch?v=etGjxOKG9lo

Hope this helps 🙂

So in which scenario do you want to keep those folders as artifacts and where would you like to store them?

Hi @<1558986829686902784:profile|NonsensicalCat31> , it seems that you're using the wrong package name:

pip install detectron2
ERROR: Could not find a version that satisfies the requirement detectron2 (from versions: none)
ERROR: No matching distribution found for detectron2

Hi @<1531445337942659072:profile|OddCentipede48> , can you please create a video reproduction?

Hi EnormousCormorant39 , how did it fail?

No, but I think it would make sense to actually share reports outside of your workspace, similar to experiments. I'd suggest opening a GitHub feature request

CluelessElephant89 , well that looks like a bug

I'll sort it out on our end 🙂

You could try using the API reference:
https://clear.ml/docs/latest/docs/references/api/tasks#post-tasksreset

Already tested that it works. However please notice that it will reset the task removing ALL outputs

I'm not sure, will check 🙂

Hi @<1558624448217616384:profile|ShaggyFrog16> , SSO & LDAP integrations are part of the Scale & Enterprise licenses 🙂

Hi DeterminedOwl36 , what about simply adding files that are already sitting on some storage?
https://clear.ml/docs/latest/docs/references/sdk/dataset#add_external_files

Hi @<1529271098653282304:profile|WorriedRabbit94> , do you maybe have autoscalers that ran for very long? Easiest is simply deleting all projects and applications and waiting a few hours