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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!
0 Hi, I Try To Run Locally

Okay this seems correct...
Can you share both yaml files (server & serving) and env file?

2 years ago
0 Hi, Is There Any Way To Get Experiment Debug Images Programmatically?

HandsomeCrow5 check the latest RC, I just run the same code and it worked 🙂

4 years ago
0 Hi Guys, Does Anybody Have The Same Issue Like Me? Is There Any Workaround?

Oh sorry, from the docstring, this will work:
` :param bool continue_last_task: Continue the execution of a previously executed Task (experiment)

.. note::
    When continuing the executing of a previously executed Task,
    all previous artifacts / models/ logs are intact.
    New logs will continue iteration/step based on the previous-execution maximum iteration value.
    For example:
    The last train/loss scalar reported was iteration 100, the next report will b...
2 years ago
0 Is It Expected That K8S Helm Chart Also Starts A Clearml Worker?

UnevenDolphin73 you mean the clearml-server helm chart ?

2 years ago
0 Thank You

BroadSeaturtle49 btw: RC with a fix should be out after the weekend

2 years ago
0 Hi Fam! Sorry For The Potential Dumb Question, But I Couldn’T Find Anything On The Interwebs About It. I’M Hosting A Clearml Server On Aws, Using S3 As A Backend For Artifact Storage. I Find That Whenever I Delete Archived Artifacts In The Web App, I Get

The default cleanup service should work with S3 with a correctly configured clearml service agent if I understand the workings correctly.

Yes I think you are correct

I am referring to the UI.

In that case, no 😞 . This is actually a backend server change (from the UI it should be relatively simple). Is this somehow a showstopper ?

2 years ago
0 <image>

Why are you initializing 3 diff Tasks ?

3 years ago
0 When We Run Our Code And It Communicate With Clearml Server, Is There Some Way We Can Log That Api Request? Like What Endpoint Is It And What Payload It Sends To That Endpoint? Thanks

Hi GrittyCormorant73
At the end everything goes through session.send, you can add a print there?
btw: why would you print all the requests? what are we debugging here?

2 years ago
0 Hello, We Are Currently Working On A Hyperparameter Tuning Job For Object Detection Following This Tutorial
  1. Could you explain how I can reproduce the missing jupyter notebook (i.e. the ipykernel_launcher.py)
4 years ago
0 Hi Everyone And Thanks Again For The Help, I Still Have No Success In Running Clearml Agent, It Just Gets Stuck Without Any Output, On Debug Mode For

ChubbyLouse32 and this works when running python code and not when the agent is running ?
On the same machine ?

2 years ago
0 Anyone Using Trains With Snakemake? I Am Running My Workflow With Snakemake In A Docker Container, And It Can Output To The Trains Server Of Course, But Executing A Task From Trains Ui Tries To Run The Script In Its Own Container... It Downloads An Ubuntu

BroadMole98

I'm still exploring what trains is for.

I guess you can think of Trains as Experiment manager + MLOps tied together.

The idea is to give a quick and easy way to move from coding/running on one machine to scaling it to multiple remote machines, with everything that comes with it.

In some ways it is like snakemake, it setups your environment and execute the code. Snakemake also allows you to setup data, which in Trains is done via code (StorageManager), pipelines are also...

4 years ago
0 Hi Guys, Probably Is Just Me Missing Something Along The Way:

Hi ContemplativeCockroach39
Seems like you are running the exact code as in the git repo:
Basically it points you to the exact repository https://github.com/allegroai/clearml and the script examples/reporting/pandas_reporting.py
Specifically:
https://github.com/allegroai/clearml/blob/34c41cfc8c3419e06cd4ac954e4b23034667c4d9/examples/reporting/pandas_reporting.py

4 years ago
0 Hello, In The Following Context:

That said, you might have accessed the artifacts before any of them were registered

4 years ago
0 Hi. Inside A Notebook When I Cerate A New Clearml Task And Then Run Sklearn Gridsearchcv , Clearml Uploads A Lot Of Model. Is There A Way To Force Clearml Not To Upload These Models? Related Question Is What Are These Models Anyway? Their Name Only Contai

My question was about the automatically uploaded models. Those that were uploaded by clearml client.

So there is a way to add a callback would that work?
https://github.com/allegroai/clearml/blob/cf7361e134554f4effd939ca67e8ecb2345bebff/clearml/binding/frameworks/init.py#L137
def callback(_, model_info): model_info.name = "my new name" return model_info

2 years ago
0 Hey, Is There A Way To Disable Going To The Demo Server

Hi SharpDove45

what 

 suggested about how it fails on bad/missing credentials

Yes, this is correct, since you specifically set the hosts worst case you will end up with wrong credentials 🙂

4 years ago
0 Hello! Since Today I Get

Okay this is very close to what the agent is building:
Could you start a new conda env,
then install cudatoolkit=11.1
then run:

conda env update -p <conda_env_path_here> --file the_env_yaml.yml
3 years ago
0 Hi, Is There A Way To Log

(fyi: once we have a solid idea here, please open a github issue on the feature request, I'll try to see if we can push it fwd for the next RC 🙂 )

3 years ago
0 Hi Guys, If I Spot Issue With Documentations, Where Should I Post Them? For Now, I'Ll Leave It (Feel Free To Delete And/Or Move It Somewhere More Relevant). So I Didn'T Try Out All The Reporting Functionalities, But The One I Did Choose Did Have 2 Errors

Hi CluelessElephant89

Hi guys, if I spot issue with documentations, where should I post them?

The best way from our perspective PR the fix 🙂 this is why we put it on GitHub

3 years ago
0 Hey Guys, Sorry For The Rapid Fire Questions In The Past Few Days. I Have Another Issue Though. I Initially Ran A Task, Directly From A Repo. It Succesfully Installed The Requirements From The Requirements File In The Repo And Ran The Task Without Any Iss

It runs into the above error when I clone the task or reset it.

from here:

AssertionError: ERROR: --resume checkpoint does not exist

I assume the "internal" code state changed, and now it is looking for a file that does not exist, how would your code state change, in other words why would it be looking for the file only when cloning? could it be you put the state on the Task, then you clone it (i.e. clone the exact same dict, and now the newly cloned Task "thinks" it resuming ?!)

3 years ago
0 Hello, In The Following Context:

My bad I wrote refresh and then edited it to the correct "reload" 😞

4 years ago
0 Hi

I'd prefer to use config_dict, I think it's cleaner

I'm definitely with you

Good news:

new 

best_model

 is saved, add a tag 

best

,

Already supported, (you just can't see the tag, but it is there :))

My question is, what do you think would be the easiest interface to tell (post/pre) store, tag/mark this model as best so far (btw, obviously if we know it's not good, why do we bother to store it in the first place...)

4 years ago
0 Hey Guys, Sorry For The Rapid Fire Questions In The Past Few Days. I Have Another Issue Though. I Initially Ran A Task, Directly From A Repo. It Succesfully Installed The Requirements From The Requirements File In The Repo And Ran The Task Without Any Iss

however when I clone or reset said task after completion and then enqueue it again, I get the above error.

This part is somewhat confusing... There is no magic happening behind the scenes, cloning a Task and creating it, is basically the same ... Do you have a reference to the YOLOv5 code base itself, maybe I can figure out what's the issue?

3 years ago
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