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AgitatedDove14
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39 Questions, 7281 Answers
  Active since 10 January 2023
  Last activity 7 months ago

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11 × Eureka!
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New video is out 🙂 Cloud Autoscalers are awesome https://www.youtube.com/watch?v=j4XVMAaUt3E
one year ago
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3 Answers
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0 Votes 3 Answers 219 Views
Hi
Hi , v0.15 is out, 🎉 🚀 Your feedback had a major influence on the features we added 🙂 thank you! A selected list of features: Column resizing / ordering /...
3 years ago
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279 Views
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Hi Guys/Gals, If you want to checkout the latest RC we have 0.15.0rc0 out : pip install trains==0.15.0rc0 pip install trains-agent==0.15.0rc0Many of the impr...
3 years ago
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I would guess connectivity issues, the TLS is probably python inaccurate response (I mean in a way, it is also a TLS error, but I would imagine this has more...
3 years ago
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YummyWhale40 awesome thanks!
3 years ago
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216 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...
3 years ago
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317 Views
0 Votes 0 Answers 317 Views
New RC for trains-agent is out pip install trains-agent==0.13.2rc1
3 years ago
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2 Answers
222 Views
0 Votes 2 Answers 222 Views
Hi
Hi ClearML v0.17.1 and ClearML-Agent v0.17.0 are now the official packages & repositories 🎉 🎊 👋 🛤️ This new name brings on many changes, mainly replace a...
2 years ago
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300 Views
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apparently everyone can ...
3 years ago
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3 years ago
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YEY!!!! Download as CSV 🤯
one year ago
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2 years ago
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We are at AAAI NY, come look us up :)
3 years ago
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1 Answers
311 Views
0 Votes 1 Answers 311 Views
This is usually due to enterprise level issued https certificates not part of the local installation (basically any python generated SSL request will fail)
3 years ago
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3 years ago
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Hi
Hi ! trains 0.16.2 is finally out with the new pipelines interface! Check out the new example https://github.com/allegroai/trains/blob/master/examples/pipeli...
2 years ago
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208 Views
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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...
3 years ago
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3 years ago
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0 Votes 6 Answers 248 Views
Hi
Hi ! ClearML Server + SDK v1.9.0 is out! 🎉 🚀 🎊 Happy Holidays and Happy New Year! ❇️ 🎇 🎄
9 months ago
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0 Votes 0 Answers 317 Views
https://m.facebook.com/story.php?story_fbid=2484620658505570&id=1620822758218702&refid=52&tn=-R
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 ...
2 years ago
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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 ...
3 years ago
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Slack security ... Go figure 😉
3 years ago
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Quick note: v1.3.1 caused PipelineDecorator Tasks to by default disable the automagic frameworks connection, this bug is solved in the latest RC pip install ...
one year ago
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https://allegro.ai/docs
3 years ago
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2 years ago
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docs are up
3 years ago
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3 years ago
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Is you server using https ?!
3 years ago
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Is it a one time thing? or recurring?
3 years ago
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0 Hello All, Thanks For This Really Cool Software And Community! I Have A Question On

Calling the script without the

PipelineDecorator.run_locally()

i.e. running the pipeline remotely still gives the

ModuleNotFoundError: No module named

Do you have the needed module listed on the pipeline controller Task ? (press on the details link, then go to Execution tab / "Installed Packages"

9 months ago
0 Hello All, Thanks For This Really Cool Software And Community! I Have A Question On

Do note that the needed module is just a local folder with scripts.

Oh that is the issue, is it in the git repo ?

9 months ago
0 If I Create A Task Using Task.Create And Then In A Separate Piece Of Code I Want To Report To It (By Using

report_text does not, this is very weird

Okay this seems to be the issue.
Just making sure the Task status is "running" and task.get_logger().report_text("something") does not report a thing ?
Do you see it on your screen?
Can you test without the "Task.debug_simulate_remote_task / init" ?

one year ago
0 If I Create A Task Using Task.Create And Then In A Separate Piece Of Code I Want To Report To It (By Using

So it is the automagic that is not working.
Can you print the following before calling Both Task.debug_simulate_remote_task and Task.init , Notice you have to call Task.init
print(os.environ)

one year ago
one year ago
0 Hi All

This will set more time before the timeout right?

Correct.

task.freeze_monitor()
download()
task.defrost_monitor()

Currently there isn't, but that's a good ides.
What would be the argument of using it vs increasing the timeout ?
btw: setting the resource timeout to 99999 will basically mean that it will wait until the first reported iteration, Not that it will just sleep for 99999sec 🙂

2 years ago
0 Hello. I Have Several Questions Regarding The Pipeline Components Of Clearml. I Have Read The Docs, But I Still Don'T Have A Clear Picture Of The Interplay Between Them. As I Know A Little Bit Better Luigi And Kedro, I Will Try To Explain How Are They Rel

in this week I have met at least two people combining ClearML with other tools (one with Kedro and the other with luigi)

I would love to hear how/what is the use case 🙂

If I run the pipeline twice, changing only parameters or code of taskB, ...

I'll start at the end, yes you can clone a pipeline in the UI (or from code) and instruct it to reuse previous runs.
Let's take our A+B example, Let's say I have a pipeline P, and it executed A and then B (which relies on A's output...

2 years ago
0 Hello. I Have Several Questions Regarding The Pipeline Components Of Clearml. I Have Read The Docs, But I Still Don'T Have A Clear Picture Of The Interplay Between Them. As I Know A Little Bit Better Luigi And Kedro, I Will Try To Explain How Are They Rel

Hi ShinyWhale52
Luigi's approach is basically an extension of a functional dag, where each node is a single function. Let's think of Kedro as extension of this approach.
With both the assumption is that a node is a single function (sometimes it really is) and we just want to create a meta execution path (i.e. the execution dag, quite similar to TF v1).
ClearML pipelines are a different story (in a way).
The main difference is that with ClearML each node is a Task, not a function. That mean...

2 years ago
0 Is There A Way To Sort Plots By Iteration?

Hi MagnificentSeaurchin79
Unfortunately there is currently no way to reorder the plots, but you have a valid point. I suggest a GitHub UX issue ?
Regrading the debug samples, the difference is that the confutation matrix report is actually metadata, you can get these numbers by the API or the download, but the debug samples are static images ...

BTW: you can try to produce an interactive side by side confusion matrix with plotly, and use report_plotly_figure

2 years ago
0 Hi All

Hi CooperativeFox72
Sure 🙂
task.set_resource_monitor_iteration_timeout(seconds_from_start=1800)

2 years ago
0 I Wonder If There Is A Way To Setup

Hi TightElk12

it would raise an error if the env where execution happens is not configured to track things on our custom server to prevent logging to the public demo server ?

What do you mean by that? catching the default server instead of the configured one ?

2 years ago
0 I Wonder If There Is A Way To Setup

I see TightElk12

You can always setup the OS environments : CLEARML_API_HOST CLEARML_WEB_HOST CLEARML_FILES_HOST with the correct configuration Or you can simply set CLEARML_NO_DEFAULT_SERVER=1 which will prevent any usage of the default demo serverwdyt?

2 years ago
0 Hi, How Does

Hi @<1523701066867150848:profile|JitteryCoyote63>

Hi, how does

agent.enable_git_ask_pass

works

basically it pushes the pass through stdin to git when it asks (it is a git feature)

8 months ago
3 years ago
0 Hi, I Have An Agent That Is Running Two Experiments At The Same Time: One That Was Running For A Long Time (11H) And One That The Agent Picked Up Afterwards, While The First One Was Still Running. Context: I Have 3 Agents Up (Not In Docker Mode) And All O

JitteryCoyote63

Picks a new experiment on top of the long one running

This is very very strange. Is the long running experiment being logged (i.e. do you still see console output in the UI)?

3 years ago
0 Hi, I Am Trying To Use Agent With A Sample, Very Simple Task. But It Stucks And Task Does Not Finish. In Ui In Console I See What I Pasted On Image. Do You Know What I Might Be Doing Wrong? Agent Is Run In Virtual Env Mode

(just using local server not connected to Internet), am I right?

You can if you host your own git server, Or if your code is a single file / jupyter notebook, then the entire code is stored on the Task.
btw: what is the exact setup, how come there is no git repo?

12 months ago
0 Hi, I Am Trying To Use Agent With A Sample, Very Simple Task. But It Stucks And Task Does Not Finish. In Ui In Console I See What I Pasted On Image. Do You Know What I Might Be Doing Wrong? Agent Is Run In Virtual Env Mode

Agent works when I am running it from virtual environment but stucks in the same place all the time when I using Docker

Can you please provide a log? I'm not sure what it means stuck

11 months ago
0 Hi! I Am Trying To Provide A Custom

Hi PanickyFish98
It verifies it has access to it when actually creating the Task, maybe it should be a warning?!
fyi: you can also change the value from the UI (under Execution output) or have a default one set in the clearml.conf used by the agent

2 years ago
0 Hello! I Don'T Know If It Is The Right Place To Ask About It But Maybe Someone Else Has Faced The Same Problem I Created Task "My_Task" From Branch "My_Branch" With "My_Commit_Id" Then I Merged "Another_Brach" Into "Master" After Merging Clearml-Agent Can

Hi RobustHippopotamus53
The way "latest from branch" works:
On the Task you specify the branch name (e.g. "master", no need to add the origin/ prefix) The agent then pulls the latest commit from that branch and updates back the Task to the current commit ID (the latest on the branch at the time of execution) This process ensures reproduciblity and traceability as we can always be certain the exact commit that was executed.Could it be the you "forced-push" a commit/squash, hence the "origina...

2 years ago
0 Hey All. I'M Seeing A Strange Error When Trying To Run Hyperparameter Optimisation By Cloning A Base Training Task

Verified, you are correct "." in label enumeration will break the clone .
I'll make sure this bug is passed to backend guys to fix. Thanks TenseOstrich47 !
meanwhile maybe "_" instead ? 😁

2 years ago
0 Hi, I Am Trying To Upload A Model But I Am Getting The Following Error:

Weird issue, I'll make sure we fix compatibility with python 3.9

2 years ago
0 When Using

Hi SteadyFox10 the way it works is that Trains limits the debug image history by reusing the same files names, so the UI will only present the iterations where the debug images are relevant for. With your sample code it looks like it exposes a bug , the generated link should contain iteration number, it does not and so it overwrites the debug images every iteration. Here is the image link: https://demofiles.trains.allegro.ai/Test/test_images.6ed32a2b5a094f2da47e6967bba1ebd0/metrics/Test/te...

3 years ago
0 Hey All. I'M Seeing A Strange Error When Trying To Run Hyperparameter Optimisation By Cloning A Base Training Task

I think this is due to the label map including some keys with a 

.

  in them.

Hi TenseOstrich47 what do you mean "label"

2 years ago
0 When Using Docker Mode (And Specifically K8S Glue), What Are The Options For Caching? One Option Is Definitely Having A Base Image That Has The Things Needed. Anything Else? Thanks!

One option is definitely having a base image that has the things needed. Anything else? Thanks!

This is a bit complicated, to get the cache to kick in you have to mount an NFS file into the pod as the cache (to create a persistent cache)
Basically, spin NFS pod to store the cache, change the glue job template yaml to mount it into the pod (see default cache folders:
/root/.cache/pip and /root/.clearml/pip-download-cache)
Make sense ?

2 years ago
0 Hi Everyone, Is It Possible To Not Create A Copy Of A Dataset When Adding To Clearml? My Data Is Already In A Directory On The Clearml-Server Machine And I Do Not Want To Copy It, Just Add It To Clearml As Dataset.

but this is not different from not using clearml-data,

ReassuredTiger98 just making sure we are on the same page. clearml-data immutability is fixed, the user cannot change the content of the dataset (it is actually compressed and uploaded). If you want to change it, you create a new child version

one year ago
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