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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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1 Answers
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Gals, Guys & :robot_face: , if you want to checkout the Hyper-Parameters automation (Using Bayesian Optimization Hyper-Band) We have an example on the demo s...
4 years ago
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0 Answers
1K Views
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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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Slack security ... Go figure 😉
5 years ago
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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
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3 Answers
767 Views
0 Votes 3 Answers 767 Views
we recently released a new version of clearml-session with Persistent Workspace support! 🚀 🎉 Finally you can develop on remote machines with workspace fold...
11 months ago
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4 years ago
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616 Views
0 Votes 1 Answers 616 Views
🙏 Please skip cleaml python package v1.0.1 and just move on to v1.0.2 😊 apologies for the inconvenience 🙂 pip install clearml==1.0.2
3 years ago
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1K Views
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Hi Guys! I have great news, we finally fully implemented support for continuing previously trained models 🎉 Here is a quick example (this is torch, but any ...
4 years ago
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4 Answers
174 Views
0 Votes 4 Answers 174 Views
Happy new year everyone! 🥂 🎆 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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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
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746 Views
0 Votes 1 Answers 746 Views
🙏 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 ! 🎆 🎇 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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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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6 Answers
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0 Votes 6 Answers 684 Views
Hi
Hi :robot_face: , humans We have the new documentation site up and running 🎉 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
Show more results questions
0 Hello, I Am Currently Learning How To Build Pipelines With Clearml. I'Ve Created A Pipeline That Has Five Steps, In Which Each Step Depends On The Previous One (Step 2 Depends On Step 1, Step 3 Depends On Step 2, Etc.). However, My Step 4 Depends On Step

Hi @<1523704757024198656:profile|MysteriousWalrus11>

"parents": [

  "step_two", 
  "step_four" 
], 

Seems like step 5 depends on steps 2+4 , how did you create it? what did the console say ?
Could it be your not actually passing any output from step3 ? how is it dependent on it ?

one year ago
0 Running Into A Strange Issue—

Seems correct.
I'm assuming something is wrong with the key/secret quoting ?!
Could you generate another one and test it ?
(you can have multiple key/secretes on the same user)

3 years ago
0 Hello I'M New Here, I Found This Error When Testing My Tensorflow / Keras Model. I Already Create The Model Endpoint By Running Command 'Clearml-Serving --Id <Service_Id> Model Add --Engine Triton --Endpoint "Model_Name"... '. Also My Tensorflow / Keras M

MoodyCentipede68 from your log

clearml-serving-triton | E0620 03:08:27.822945 41 model_repository_manager.cc:1234] failed to load 'test_model_lstm2' version 1: Invalid argument: unexpected inference output 'dense', allowed outputs are: time_distributed

This seems the main issue of triton failing to.load
Does that make sense to you? how did you configure the endpoint model?

2 years ago
0 Hello I'M New Here, I Found This Error When Testing My Tensorflow / Keras Model. I Already Create The Model Endpoint By Running Command 'Clearml-Serving --Id <Service_Id> Model Add --Engine Triton --Endpoint "Model_Name"... '. Also My Tensorflow / Keras M

MoodyCentipede68 can you post the full docker-compose log (from spinning it until you get the error?)
You can just pipe the output to a file with :
docker-compose ... up > log.txt

2 years ago
0 Looking At The Docs.. I Couldn'T Find A Way To Cleanup The Experiments... Only Archive Them... I Also Noticed

PompousParrot44 obviously you can just archive a task and run the cleanup service, it will actually delete archived tasks older than X days.
https://github.com/allegroai/trains/blob/master/examples/services/cleanup/cleanup_service.py

4 years ago
0 Hi - What Is The Difference Between

TeenyFly97 the TL;DR is:
Task.close() should be called when you previously used Task.init (i.e the code creating the task)
Task.mark_stopped() should be called to stop a remote Task running.
I hope it helps 🙂

4 years ago
0 My Other Issue Is That If I Want To Compare Two Experiments The Scalar Plots Do Not Load ( Loading Forever ). If I Select To Show Only The Minimum Values That One Loads And Also The Other Menu Points Working In The Comparison Mode Except That.

Hi @<1600299043865497600:profile|MagnificentSeaurchin90>
Any chance you can provide more info on the error?

if I want to compare two experiments the scalar plots do not load ( loading forever ).

I'm assuming the issue is the Plots tab? or is it the Scalars? what do you have in the Plots? can you send an image of the single experiment ?

one year ago
0 Hi. Help

at least you did not change permission of your K8s etcd folder 😄

2 years ago
0 Hi. Help

Hi PanickyMoth78

I had several pipeline components getting it and uploading files to is concurrently.

Should not be a problem

I've attached it's log file which only mentions skipping one file (a warning)

So what exactly is the error you are getting?

2 years ago
0 Hi, When I Use Task.Get_Logger().Report_Table, I Go The Ui After The Experiment Finishes And I Download The Table (Under Results > Plots), It Gives Me A Json File. How Can I Use It? It Seems To Follow A Structure Specific To Clearml, How Can I For Example

how can I for example convert it back to a pandas dataframe?

You can always report csv file with report_media as well, or if this is not for debugging maybe an artifact ?

3 years ago
0 Are There Any Particular System Dependencies Needed To Enable

there is a bug wherein both

Task.current_task()

and

Logger.current_logger()

return

None

.

This is not a bug this means something broke, the environment variable CLEARML_TASK_ID Has to be set inside the agent's process
How are you running it? (also log 🙂 , you can DM so it is not public here)

10 months ago
0 Hello! I'M Trying To Make A Simple Eval.Py Script That Will Go Pull The Best Model Of A Given Experiment, Load It Locally And Evaluate It On Whatever Data I Give. Question 1: Is There A Standard Way Documented Somewhere To Do This? Question 2: I'M Loadin

Hi MistakenDragonfly51
Notice that Models are their own entity, you can query them based on tags/projects/names etc.
Querying and getting Models is done by Model class:
https://clear.ml/docs/latest/docs/references/sdk/model_model#modelquery_models

task.get_models()

is always empty. (edited)

How come there are no Models on the Task? (in other words how come this is empty?)

2 years ago
0 Hello! I'M Trying To Make A Simple Eval.Py Script That Will Go Pull The Best Model Of A Given Experiment, Load It Locally And Evaluate It On Whatever Data I Give. Question 1: Is There A Standard Way Documented Somewhere To Do This? Question 2: I'M Loadin

Wait, that makes no sense to me. The API from python and the API from the UI are getting the same data from the backend ...
What are you getting with?
from clearml import Task task = Task.get_task(task_id=<put task id here>) print(task.models)

2 years ago
0 Hi, I Am Trying To Upload A Plot To An Existing Task Using The

SmarmyDolphin68 if you can reproduce the behavior in a standalone script , it will really accelerate fixing this issue

4 years ago
0 Hi, Is There An Equivalent For Set_Name To Change The Task'S Project Name? I'M Stuck In A Loop, I Have To Run Task.Init Right At The Start Of The File Because I Give It

Regrading the project name:
set_project will support project_name in the next version 🙂 project_id=[p.id for p in Task.get_projects() if p.name==project_name][0]

4 years ago
0 Hello! I Get The Following Error In Results->Console After A Task Is Sent For Remote Execution (Using Sdk):

AttractiveCockroach17
Can you print the configuration to console when you start he run (you will get a local print and then later the remote print), are they the same? Are the 3 runs the same (local / remote print)

2 years ago
0 Hi, Is There An Equivalent For Set_Name To Change The Task'S Project Name? I'M Stuck In A Loop, I Have To Run Task.Init Right At The Start Of The File Because I Give It

which to my understanding has to be given before a call to an argparser,

SmarmySeaurchin8 You can call argparse before Task.init, no worries it will catch the arguments and trains-agent will be able to override them :)

4 years ago
0 Hi, What Is The Right Way Of Syncing A Dataset? Whenever I Add New Archives And Try To Upload I Get:

Hi SkinnyPanda43
Every "commit" is a new version, so sync changes you need to either create a new version (with parent version as the previous one), and sync the local folder (or manually add/remove files).
If you do not need to actually store the "current" version, you can just reset the Task, and sync it again.
wdyt?

3 years ago
0 Hi All—First Off, Thanks For Being Such A Helpful And Thorough Group Of People. I Learn A Ton Just Searching Through The Channel For Problems. I’M Seeing A Weird Issue. I Have A Conda Env On My Linux Machine, And I Can Successfully Run A Training Script

(torchvision vs. cuda compatibility, will work on that),

The agent will pull the correct torch based on the cuda version that is available at runtime (or configured via the clearml.conf)

3 years ago
0 Hello! I Get The Following Error In Results->Console After A Task Is Sent For Remote Execution (Using Sdk):

I want each remote task to execute one instance of the hydra multirun, but I suspect the remote will try to run the full multirun by itself

if config.clearml.remote and task.running_locally(): task.execute_remotely( queue_name=config.clearml.queue_name, clone=True, exit_process=False ) returnI think this ensures the local execution actually triggers the remote one, so it should be as you expect, no?

2 years ago
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