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CostlyOstrich36
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0 Questions, 4210 Answers
  Active since 10 January 2023
  Last activity 2 years ago

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0
0 Hi, Anyone Also Stuck With The Exception Encountered Uploading Pytorch Model File? The Dataset Upload Works Fine, Though.

Can you verify you ~/.clearml.conf has proper configuration. If you do
from clearml import Task t=Task.init()Does this work?

3 years ago
0 Hello Clearml Ppl I Have A Question, Is There A Way To Filter Tasks And Get Only The Ones That Has

Hi! The status is in_progress from backend perspective. Please try like that 🙂

3 years ago
0 Hey Guys, I’M Trying To Install

Edit clearml.conf on the agent side and add the extra index url there - https://github.com/allegroai/clearml-agent/blob/master/docs/clearml.conf#L78

3 years ago
0 Hello

Hi @<1644147961996775424:profile|HurtStarfish47> , published is one step after finalized technically, similar to tasks

one year ago
0 Hi Community, I Had A Clearml Experiment Seems Become "Unresponsive" Even Though It Is Showing "Running" With The Following Logging (I Didn'T Skip Any Logging Between 3-15 And 3-16, It Is Unexpected Behavior That The Experiment Just Went Mia): Any Idea Wh

I would ask the IT people managing your server to check server uptime and for any errors in the apiserver log. This is something who's managing the server will know what to do.

7 months ago
0 Hi, I'Ve Been Getting The Following Error When Running Training Code Through An Agent,

Is the agent running on the same machine as the original code that didn't get any errors?

2 years ago
0 Hello! How Can I Save And Resume Studies With Optune? If Best Quality Have Not Reached Or Another Reasons. Optune Have Capabilities For Resuming Studies.

Hi!
I believe you can stop and resume studies by adding these actions to your script:

Add save points via joblib.dump()
and connect them to clearml via clearml.model.OutputModel.connect()

Then, when you want to start or resume a study, load latest study file via joblib.load() and connect to clearml with http://clearml.model.InputModel.co nnect()

This way you can stop your training sessions with the agent and resume them from nearly the same point

I think all the required references are h...

4 years ago
0 I Am Using Clearml Pro And Pretty Regularly I Will Restart An Experiment And Nothing Will Get Logged To Clearml. It Shows The Experiment Running (For Days) And It'S Running Fine On The Pc But No Scalers Or Debug Samples Are Shown. How Do We Troubleshoot T

My bad, if you set auto_connect_streams to false, you basically disable the console logging... Please see the documentation:

auto_connect_streams (Union[bool, Mapping[str, bool]]) – Control the automatic logging of stdout and stderr.
one year ago
3 months ago
0 Hi, I Am Trying To Pull Api Data From /Tasks.Get_All Endpoint

Is it your own server installation or are you using the SaaS?

3 years ago
0 Hello!, Does Anyone Know Why When Running A Task In A Specific Docker Image, There Are Some Python Packages Whose Versions Doesn'T Match? For Example, I Have Installed The Package Ultralytics On 8.1.25 On The Docker Image But It'S On 8.1.11 In The Install

Hi @<1676762887223250944:profile|FancyKangaroo34> , it would be possible for example if the docker image has a different python version from what you ran on previously

one year ago
0 Hi Team,I Have Code Copied From

Hi SuperiorCockroach75 , yes you should be able to run it on a local setup as well 🙂

2 years ago
0 I Have Used Aws S3 And Minio As Storage For Clearml Artifacts. But Has Anyone Used Nexus As A Storage ?

DeliciousBluewhale87 , Hi!

I think you can have models/artifacts automatically copied to a location if the experiment is initialized with
output_uri
For example:
task = Task.init('examples', 'model test', output_uri=' ')What version of ClearML are you using? I'd suggest upgrading to the latest 🙂

4 years ago
0 Hello Everyone, I Am Having Issues With The Gcp Autoscaler. This Is In The Output Logs:

Hi @<1529271085315395584:profile|AmusedCat74> , can you please provide the full log of the autoscaler?

one year ago
0 Hello Everybody, I'M Seeking For A Clarification On The 'Metrics' Quote For The Saas Platform. My Workspace Only Uses Self S3 Storage As The File Server To Store Artifacts, Datasets And Models. For Some Reason, My 'Metrics' Quota Is Blown Up By > 30Gb Of

Hi @<1523703961872240640:profile|CrookedWalrus33> , metrics are considered as scalers, logs, plots, and the experiment objects themselves that are saved in the backend databases.

You must be reporting some very metric heavy experiments 🙂

2 years ago
0 Can I Connect Wtih Some One Who Was Able To Successfully Deploy Clearml On Gcp. Are There Tutorials For This ?

Sounds like an issue with your deployment. Did your Devops deploy this? How was it deployed?

one year ago
0 Hi, While Loading A Task I See The Following Line In The Output:

AbruptWorm50 , that's strange. I'll take a look as well. What version of clearml are you using?

3 years ago
4 years ago
0 Hi, Can I Default A Docker Image When Running A Pipeline? I Currently Set It As

SubstantialElk6 , Hi 🙂
In the UI do you get ubuntu:20:04 as the docker container for the experiment?

3 years ago
0 Hey Everyone, Given A Query Object, I See That I Can Access Many Things Such As Dataset_Name, Id Etc. Howeve,R I Want To Retrieve Not Only The Dataset_Name But The Dataset_Project Its Saved Under. How Can I Access This Information?

Hi @<1797075640948625408:profile|MotionlessSeagull29> , you can get it with the following:

from clearml import Dataset

ds = Dataset.get(dataset_id="<SOME_ID>")

print(ds.project)

You can always use

dir(<PYTHON_OBJECT>)

to see it's different attributes/methods

9 months ago
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