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AgitatedDove14
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48 Questions, 8051 Answers
  Active since 10 January 2023
  Last activity 7 months ago

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25 × Eureka!
0 Hello! When Running This Code:

Hi @<1523702652678967296:profile|DeliciousKoala34>
What's the clearml-server version you are working with?
Can you check with the latest RC?

pip3 install clearml==1.9.2rc2
one year ago
0 I Trained A Model, Saved It. Now I Am Trying To Access It From Another Machine, But The Model Url Is A Local Path. How Can I Download Models From Clearml?

Hi @<1523702786867335168:profile|AdventurousButterfly15>
Make sure you pass output_uri=true in Task.init
It will automatically upload your model to the file server. You can also configure it in the clearml.conf, look for defualt_output_uri

one year ago
0 Btw: There Seems To Be No Support For Videos In Tensorboard/Experiment View (E.G.

ReassuredTiger98 do you know if tensorboard (not tensorboardX) also supports gif there ?

3 years ago
0 Anyone Here With Any Idea Why My Service Tasks Get Aborted When Going To Sleep?

Hi @<1523701868901961728:profile|ReassuredTiger98>

Anyone here with any idea why my service tasks get aborted when going to sleep?

I think I understand the issue, clearml==1.4.0 try running with the latest clearml (1.10.x)
It will keep pinging the backend "Im alive" so the backend does not think this process is dead (which I suspect what happened, and after 2 hours the backend basically set the Task to aborted because it "thought" it was killed)

one year ago
0 Hi All

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

3 years ago
0 Hi, I Am Trying To Use The Config Values From A Experiment, But

Hi SkinnyPanda43
Are you trying to access the same Task or an external one ?

3 years ago
3 years ago
0 Hi, I Upgraded The Clearml Client To

CooperativeFox72 I would think the easiest would be to configure it globally in the clearml.conf (rather than add more arguments to the already packed Task.init) 🙂
I'm with on 60 messages being way too much..
Could you open a Github Issue on it, so we do not forget ?

3 years ago
0 I’M Trying To Get A Copy Of A Model Through Clearml Which Is Stored In S3:

I still think the issue is getting boto3 credentials

It might be the case
Are you using clearml-agent or are you running it manually ?

2 years ago
0 I’M Trying To Get A Copy Of A Model Through Clearml Which Is Stored In S3:

BeefyHippopotamus73 are you saying that on a remote machine you cannot set AWS_PROFILE ? or is it the clearml.conf is missing ? (not sure I follow how / who spins the remote machine)

2 years ago
0 Hi Again! I Am Doing Batch Inference From A Parent Task (That Defines A Base Docker Image). However, I'Ve Encountered An Issue Where The Task Takes Several Minutes (Approximately 3-5 Minutes) Specifically When It Reaches The Stage Of "Environment Setup Co

However, there is still a delay of approximately 2 minutes between the completion of setup,

Where is that delay in the log?
(btw: it seems your container is missing clearml-agent & git, installing those might add some time)

9 months ago
0 Is There An Efficient Way To Query All Unique Models (Ie Excluding Versions) In A Project?

What do you mean? every Model has a unique ID, what do you consider a version?

3 years ago
0 Hi. I'M Using Clearml For Logging My Experiments. Can I Compare Experiments By Plotting Graphs? For Example, Every Experiment Logs The Time Per Training Iteration And The Accuracy Per Epoch. I Want To Create A Graph With "Average Time Per Iteration" As X-

because comparing experiments using graphs is very useful. I think it is a nice to have feature.

So currently when you compare the graphs you can select the specific scalars to compare, and it Update in Real Time!
You can also bookmark the actual URL and it is fully reproducible (i.e. full state is stored)
You can also add custom columns to the experiment table (with the metrics) and sort / filter based on them, and create a summary dashboard (again like ll pages in the web app, URL is...

3 years ago
0 Hi, I Upgraded The Clearml Client To

Hi CooperativeFox72
I think the upload reporting (files over 5mb) was added post 0.17 version, hence the log.
The default is upload chunk reporting is 5MB, but it is not configurable, maybe we should add it to the clearml.conf ? wdyt?

3 years ago
0 Hi, I'M Trying To Use

Hi HappyDove3
Are you passing it this way?
task.upload_artifact(name="my artifact", artifact_object=np.eye(3,3))
https://github.com/allegroai/clearml/blob/5953dc6eefadcdfcc2bdbb6a0da32be58823a5af/examples/reporting/artifacts.py#L38

2 years ago
0 Hello I'M Running A Local Agent . While Its Running The Task I Get This Error. Any Suggestion? Uccessfully Installed Numpy-1.24.4 Found Pytorch Version Torch==2.0.1 Matching Cuda Version 0 Found Pytorch Version Torchaudio==2.0.2 Matching Cuda Version 0 Er

You should manually remove the cudatoolkit from the installed packages section in the UI, then try to send it to the agent and see if it works. The question is how it ended there in the first place

one year ago
0 Hi, I'M Running My Experiments On Remote Ec2 Machine. It Works Good But I Noticed That It Doesn'T Logs My Repo/Branch/Working_Dir, Probably Since My Git Is Local And Not On The Machine. I Used Set_Script() To Log This Details. Is There Any Other More Auto

Hi HappyDove3
task.set_script is a great way to add the info (assuming the .git is missing)
Are you running it using PyCharm? (If so use the clearml pycharm plugin, it basically passes the info from your local git to the remote machine via OS environment)

2 years ago
0 Is There Any Way To Clear The Installed Packages Of A Task Programmatically? (I.E. Using The Python Sdk And Not The Ui)

task = Task.init(...) if task.running_locally(): # wait for the repo detection and requirements update task._wait_for_repo_detection() # reset requirements task._update_requirements(None)🙂

3 years ago
0 Hi, Another Question. I Tried To Not

PompousBeetle71 cool, next RC will have the argparse exclusion feature :)

4 years ago
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