From the looks of it, it's failing to recreate the environment - something about numpy. Are you trying to run on two different OS's or different pythons? My best suggestion would be to try running inside docker

Hi @<1546303254386708480:profile|DisgustedBear75> , there are a few reasons remote execution can fail. Can you please describe what you were trying to do and please add logs?

I think you also might find this video useful:
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I think this is what you're looking for

What is your use case?

Answered privately 🙂

SmallDeer34 Hi! 🙂

I'm afraid that currently we support only up to 10 experiments in comparison at once. However you can add/remove experiments mid comparison. Is there a specific reason why you'd need to compare specifically 20?

Regarding the coloring, if you do 5/5 it would be supported.

Hi @<1544128920209592320:profile|BewilderedLeopard78> , I don't think there is such an option currently. Maybe open a GitHub feature request to track this 🙂

I think the issue is that the message isn't informative enough. I would suggest opening a GitHub issue on this requesting a better message. Regarding confirming - I'm not sure but this is the default behavior of Optuna. You can run a random or a grid search optimization and then you won't see those messages for sure.

What do you think?

Please open developer tools (F12), go to the network tab and refresh the page

Hi @<1631102016807768064:profile|ZanySealion18> , I think this is what you're looking for:
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How did you try it?

Hi @<1562973095227035648:profile|ThoughtfulOctopus83> , I think this is what you are looking for
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Hi SuperiorCockroach75 , yes you should be able to run it on a local setup as well 🙂

How did you run the original experiment? What version of ClearML are you using?

TimelyPenguin76 , what do you think?

                    # This will apply to all buckets in this host (unless key/value is specifically provided for a given bucket)
                    host: "my-minio-host:9000"

You need to add the port for minio

Looks like a network issue.

As a side note, I would suggest removing & revoking all credentials you've pasted here 🙂

You would need to implement this logic yourself. For example you expose a pipeline argument for the controller (These are the configurations you can control via the UI as well) and then basically have if logic in the controller code that will run/skip steps according to the step you'd like to start from.

Makes sense?

Hi @<1545216070686609408:profile|EnthusiasticCow4> , I suggest you try ClearML-Serving
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By default these tasks are hidden. You can go into settings and show hidden projects

EmbarrassedSpider34 , you can use the API to remove tasks from a queue
https://clear.ml/docs/latest/docs/references/api/queues#post-queuesremove_task

try with pip install -U clearml==1.7.2rc1

Is there a way to lower the needed credentials for specific actions such as: run, stop, start instances etc...? for example: fixing it to work only with conditions of specific subnet, security group and instance types? ( I was trying doing it but as I said it failed with this message:

Can you elaborate on the specific configuration?

I think so, yes. You need a machine with a GPU - this is assuming I'm correct about the n1-standard-1 machine

TenseOstrich47 , can you please describe what your usage is?

Can you try with Task.connect() ?
https://clear.ml/docs/latest/docs/references/sdk/task#connect

Hi @<1717350332247314432:profile|WittySeal70> , can you provide a simple standalone example that reproduces this behavior? Also please provide full logs of the controller + step

Happy to help 🙂

Hi FlutteringBadger86 ,

Are you referring to app.clear.ml?
Can you see if you manage to load it with your phone?