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AgitatedDove14
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49 Questions, 8094 Answers
  Active since 10 January 2023
  Last activity 10 months ago

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25 × Eureka!
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Gals, Guys & :robot_face: If you want to get some inspiration on building DL Continuous Integration pipelines, I suggest this post (obviously built on top of...
4 years ago
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0 Answers
1K Views
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Slack security ... Go figure πŸ˜‰
5 years ago
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0 Answers
2K Views
0 Votes 0 Answers 2K Views
YummyWhale40 you are saying the example code is not working when running with the demo server? Also I think I was able to view your experiment on the demo se...
4 years ago
0 Votes
3 Answers
767 Views
0 Votes 3 Answers 767 Views
we recently released a new version of clearml-session with Persistent Workspace support! πŸš€ πŸŽ‰ Finally you can develop on remote machines with workspace fold...
11 months ago
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4 years ago
0 Votes
1 Answers
616 Views
0 Votes 1 Answers 616 Views
πŸ™ Please skip cleaml python package v1.0.1 and just move on to v1.0.2 😊 apologies for the inconvenience πŸ™‚ pip install clearml==1.0.2
3 years ago
0 Votes
0 Answers
1K Views
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Hi Guys! I have great news, we finally fully implemented support for continuing previously trained models πŸŽ‰ Here is a quick example (this is torch, but any ...
4 years ago
0 Votes
4 Answers
174 Views
0 Votes 4 Answers 174 Views
Happy new year everyone! πŸ₯‚ πŸŽ† Last minute 🎁 v2.0 is now out, with a new UI design! now finally supporting light & dark mode 🀩 Lot's more to come this year...
one month ago
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0 Votes 0 Answers 1K Views
https://m.facebook.com/story.php?story_fbid=2484620658505570&id=1620822758218702&refid=52&tn=-R
5 years ago
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4 years ago
0 Votes
1 Answers
746 Views
0 Votes 1 Answers 746 Views
πŸ™ There is no v1.0 release without a prompt v1.0.1 following it, and we are no different 😊 pip install clearml==1.0.1
3 years ago
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🎊 🍾 Happy new year ! πŸŽ† πŸŽ‡ We wanted to thank you all for the great feedback, contribution and general support you guys give us. It is truly fulfilling to ...
4 years ago
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7 Answers
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0 Votes 7 Answers 707 Views
Thank you all for taking the time to answer our survey (If you haven't already, we urge you to do so ). Your feedback has a major impact on what we build, do...
4 years ago
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9 Answers
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0 Votes 9 Answers 1K Views
Hi
Hi https://github.com/allegroai/trains/releases/tag/0.15.1 / https://github.com/allegroai/trains-server/releases/tag/0.15.1 / https://github.com/allegroai/tr...
4 years ago
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Lol, I wonder what the adblock rule was ;)
4 years ago
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2 years ago
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0 Votes 6 Answers 684 Views
Hi
Hi :robot_face: , humans We have the new documentation site up and running πŸŽ‰ None 🎊 This is still a work in progress, so we keep the previous version alive...
3 years ago
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5 years ago
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Is it a one time thing? or recurring?
5 years ago
Show more results questions
0 Is There A Way To Set Precedence On Package Managers? If We Set An Agent To Use

so you have a repo with poetry that some users update and some do not?
All working on the same branch ?

3 years ago
0 How Can I Stop Clearml From Uploading Temporary Models? I Am Running Cross_Validation, Training A Bunch Of Models In A Loop Like This:

should be the full path, or just the file name?

just file name, this is basically fname matching

one year ago
0 I Am Trying To Do A Remote Execution Of A Test Task, But It Fails During Env Setup Due To Trying To Install An Obscure Version Of Pytorch. Been Trying To Solve This For Three Days! The Script:

I think I understand what the issue is, you have installed the agent on your python 3.8, but it is running and trying to install on python 3.10
To verify,
pip uninstall clearml-agent
python3.10 -m pip install clearml-agent
python3.10 -m clearml-agent daemon...

2 years ago
0 I Am Trying To Do A Remote Execution Of A Test Task, But It Fails During Env Setup Due To Trying To Install An Obscure Version Of Pytorch. Been Trying To Solve This For Three Days! The Script:

Can you try to manually install it and see what you are getting?
python3.10 -m pip install /home/boris/.clearml/pip-download-cache/cu117/torch-1.12.1+cu116-cp310-cp310-linux_x86_64.whl

2 years ago
0 Hi, Coming Back With The Venv Caching: With The Following Setting:

replace it with:
git+No need for the repository name, this will ensure you always reinstall it (again pip feature)

3 years ago
0 When It Comes To Continuous Training, I Wanted To Know How You Train Or Would Train If You Have Annotated Data Incoming? Do You Train Completely Online Where You Train As Soon As You Have A Training Example Available? Do You Instead Train When You Have A

My main query is do I wait for it to be a sufficient batch size or do I just send each image as soon as it comes to train

This is usually a cost optimization issue, generally speaking if GPU up time is not an issue that the process is stochastic anyhow, so waiting for a batch or not is not the most important factor (unless you use batchnorm layer, in that case this is basically a must)

I would not be able to split the data into train test splits, and that it would be very expensiv...

3 years ago
0 Hi All! I'M Using Clearml With Hydra As Configuration Manager. I'M Trying To Rerun A Task By Overriding Some Of The Configurations From The Ui. I Tried To Change The Config_Name Args In The Args Section And Also The Omegaconf Configuration In Configuratio

Hi LovelyHamster1
As you noted, passing overrides in Args/overrides , for example ['training.max_epochs=1000']
should work when running with the agent.

Could you verify with the latest RC, there was a fix to support the latest hydra version
pip install clearml==0.17.5rc5

3 years ago
0 Hi, Coming Back With The Venv Caching: With The Following Setting:

I mean the caching will work, but it will reinstall this repository on top of the cached copy.
make sense ?

3 years ago
0 Hey Everyone

this

from fastai.callbacks.tensorboard import LearnerTensorboardWriter

doesn’t exist anymore in fastai2

Hmm we should definitely update the example to fastai2 API

maybe the fastai bindings in clearml package are outdated

Are you getting any scalars reported to clearml?

they also appear to be relying on the tensorboard callback which seems not to work on distributed training

Yes that is correct, usually the way it works all nodes report back to "master...

3 years ago
0 Hey Everyone

Yes that should work, only thing is you need to call Task init on the master process (and make sure you call Task.current_task() on the subprocesses, if you want to automagic to kick in, that said, usually there is no need, they are supposed to report everything back to the main one anyhow
basically
` @call_parse
def main(
Β  Β gpus:Param("The GPUs to use for distributed training", str)='all',
Β  Β script:Param("Script to run", str, opt=False)='',
Β  Β args:Param("Args to pass to script", nargs=...

3 years ago
0 Hey Everyone

PricklyRaven28 basically this is the issue:

python -m fastai.launch <script>

There are multiple copies of the script running, but they are Not aware of one another.
are you getting any reporting from the diff GPUs? I'm assuming there is a hidden OS environment that signals the "master" node, so all processes can communicate with it. This is what we should automatically capture. There is a workaround the fastai.launch, that is probably similar to this one:

3 years ago
0 Hey Everyone

because fastai’s tensorboard doesn’t work in multi gpu

keep me posted when this is solved, so we can also update the fastai2 interface,

3 years ago
0 Hi

Thanks SarcasticSparrow10 !
I'll later reply the Github issue (for better visibility)
But my initial thoughts:
(1) I think this was suggested, and hopefully we will get to implementing it, I can definitely see the value. Meanwhile you can achieve some of the functionality with the experiment table and custom columns πŸ™‚
(2) "Don't display the performance metric" -> isn't that important? what am I missing?
(3) Hmm you mean just extra columns?
(4) sounds like a bug
(5) is this a plotly issue?...

4 years ago
0 Is There Any Testing Suite That Ships With Clearml? If We'D Like To Make Some Unit Tests For Our Code?

Seems like

Task.create

is the correct use-case then, since again this is about testing flows using e.g. pytest,

Make sense

This seems to be fine for now, ...

Sounds good! thanks UnevenDolphin73

2 years ago
0 Hello Everyone. I'M Getting Started With Clearml. I'M Trying Hpo Atm And Have Successfully Run The Base Task. When Running The Clone Of The Base Task In One Of The Agents, I'M Getting Following Error. Any Suggestions? Tia

Thanks!
fyi: This section is not necessary if you you have clearml.conf file in ~/
Task.set_credentials( api_host=" ", web_host=" ", files_host=" ", key='********************', secret='***********************' )Let me check the code for a min

2 years ago
0 Hi! I Have Local Minio Setup, Via Minio Browser I Can Upload 50-100 Mb Per Second As Its Local. But When I Try To Use Task.Upload_Artifact It Uploads 500 Kb Per Second. Does Anyone Have An Idea About This?

Anyhow if the StorageManager.upload was fast, the upload_artifact is calling that exact function. So I don't think we actually have an issue here. What do you think?

4 years ago
0 Hi, Another Question If You May. Is It Possible To Edit A Logged Task? For Instance - Remove All The Metrics From Some Step Onward?

OddAlligator72 sure thing πŸ™‚
This should sort it out:
Task.init('examples', 'train', continue_last_task=True)If you want to continue a specific Task:
continue_last_task='task_id_here'Getting the previous model:
last_checkopoint = task.models['output'][-1]What do you think?

4 years ago
4 years ago
0 Hi, When It First Asks Me To Enter My Full Name, It Fails To Perform The Request (Timed Out). Checked Server Side And Receiving This Error

Seems like something is not working with the server, i.e. it cannot connect with one of the dockers.
May I suggest to carefully go through all the steps here, make sure nothing was missed
https://github.com/allegroai/trains-server/blob/master/docs/install_linux_mac.md

Especially number (4)

4 years ago
0 Hi All! I Have A Question About Pipelines. My Pipeline Consists Of Several Steps:

Sounds good to me, adding it to the to do list, probably should not be very complicated to add πŸ™‚

2 years ago
0 Hi, Is It Possible To Migrate A Dataset From A Self Hosted Clearml Solution To The Clearml Hosted Solution?

I don't know how I would be able to get the description and name?

Good point, how about doing that in code, then you have all the information and you can store it in jsons / pickle next to the data folder?
wdyt?

2 years ago
0 Hello! Since Today I Get

Hi @<1523701868901961728:profile|ReassuredTiger98>
This should have worked, and seems like conda is not fetching the correct pytorch version (even though the conda env contains the cuda version they specify)
Let's try something, reset the Task, then edit the "Installed packages" and add:

cudatoolkit==11.1.1

Then try again.
Let's see what we get.
(The idea, is that I think conda forgets it just install cudatoolkit and assumes the env is for CPU)

3 years ago
0 Hello! Since Today I Get

Hurray conda.
Notice it does include cudatoolkit , but conda ignores it

cudatoolkit~=11.1.1

Can you test the same one only serach and replace ~= with == ?

3 years ago
0 Hello! Since Today I Get

Well, in that case, just change the order it should solve it (I'll make sure we have that as the default:

conda_channels: ["pytorch", "conda-forge", "defaults", ]

It should solve the issue πŸ™‚

3 years ago
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