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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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This is usually due to enterprise level issued https certificates not part of the local installation (basically any python generated SSL request will fail)
5 years ago
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Hi
Hi , v0.15 is out, πŸŽ‰ πŸš€ Your feedback had a major influence on the features we added πŸ™‚ thank you! A selected list of features: Column resizing / ordering /...
4 years ago
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This will close it Task.current_task().close()I think we should rename completed() because it just marks the Task as completed on the backend but does not ac...
3 years ago
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Is it a one time thing? or recurring?
5 years ago
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docs are up
5 years ago
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Is you server using https ?!
5 years ago
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@<1523703325881536512:profile|ConvolutedSealion94> these are xgboost internal metrics that are automatically picked by clearml
2 years ago
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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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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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New RC for trains-agent is out pip install trains-agent==0.13.2rc1
5 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...
5 years ago
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New releases: pip install trains==0.13.3https://github.com/allegroai/trains/releases/tag/0.13.3 pip install trains-agent==0.13.2https://github.com/allegroai/...
4 years ago
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LSTMeow is back! Bots/Gals/Guys feel free to πŸ‘ None
4 years ago
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Happy Friday everyone ! We have a new repo release we would love to get your feedback on πŸš€ πŸŽ‰ Finally easy FRACTIONAL GPU on any NVIDIA GPU 🎊 Run our nvidi...
11 months ago
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5 years ago
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YummyWhale40 awesome thanks!
4 years ago
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4 years ago
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4 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...
4 years ago
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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...
4 years ago
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OMG Look who just joined the PyTorch EcoSystem None Yes! it is TRAINS πŸš† πŸŽ‰ 🎈
4 years ago
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Finally
5 years ago
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4 years ago
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https://allegro.ai/docs
5 years ago
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New video is out πŸ™‚ Cloud Autoscalers are awesome https://www.youtube.com/watch?v=j4XVMAaUt3E
2 years ago
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YEY!!!! Download as CSV 🀯
2 years ago
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Hello Everyone!
5 years ago
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Hi
Hi ! ClearML Server + SDK v1.9.0 is out! πŸŽ‰ πŸš€ 🎊 Happy Holidays and Happy New Year! ❇️ πŸŽ‡ πŸŽ„
2 years ago
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Hi
Hi ClearML v0.17.1 and ClearML-Agent v0.17.0 are now the official packages & repositories πŸŽ‰ 🎊 πŸ‘‹ πŸ›€οΈ This new name brings on many changes, mainly replace a...
4 years ago
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We are at AAAI NY, come look us up :)
5 years ago
Show more results questions
0 Hi, I Am Looking To Upload "Already Trained Models" As Experiments In My Clearml Server. How Should I Go About Doing That? Clearml Picks Up The Tensorboard Automatically While It'S Training And Reports It But How Would I Do This If I Had Everything Alread

Hi SmarmyDolphin68
You have two options:
Automatically upload the models when training pass output_uri to Task.init. For example output_uri=True will upload to the clearml-server, output_uri=' s3://bucket/folder ' will upload to S3 etc. Manually upload a model that you have locally: https://github.com/allegroai/clearml/blob/9ff52a8699266fec1cca486b239efa5ff1f681bc/examples/reporting/model_config.py#L37

3 years ago
0 Hello! I Add To Inject The Configuration Into Clearml With

GloriousPanda26 wouldn't it make more sense that multi run would create multiple experiments ?

4 years ago
0 Hello! I Add To Inject The Configuration Into Clearml With

but I have no idea what's behingΒ 

1

,Β 

2

Β  andΒ 

3

Β compare to the first execution

This is why I would think multiple experiments, since it will store all the arguments (and I think these arguments are somehow being lost.
wdyt?

4 years ago
0 Good Morning Folks, I Am Setting Up Clearml On A (Self-Hosted) K8S Cluster Using The

is how you would create different queues,

SarcasticSquirrel56 you can create them from the UI, when the server is already running
(if you are saying, how do I create them in the first installaiton, then yes you are correct, this is possible in the helm chart, I think 😞 )

2 years ago
0 Hi Everyone, Is It Possible To Show The Upload Progress Of Artificats? E.G. I Use

I guess this is from clearml-server and seems to be bottlenecking artifact transfer speed.

I'm assuming you need multiple "file-server" instances running on the "clearml-server" with a load-balancer of a sort...

3 years ago
0 Hi Anyone

FileNotFoundError: [Errno 2] No such file or directory: 'tritonserver': 'tritonserver'

This is oddd.
Can you retry with the latest from the github ?
pip install git+

3 years ago
0 Hi All, I'M Trying To Deploy Trains On Rancher (Nice Kubernetes Cluster Orchestration Project) Where I'M Quite New To Rancher And Kubernetes. I Have Been Able To Install Trains Using Helm

Hi WickedGoat98 ,
I think you are correct 😞
I would guess it is something with the ingress configuration (i.e. ConfigMap)

4 years ago
0 Hi, Relating To The

Oh 😒 yes this is not good, let me see if we can quickly fix that

2 years ago
0 Hi, Guys, I Have A Problem With Clearml-Serving. When I Try To Request Sklearn Model (I Try To Reproduce An Example

LOL πŸ™‚
Make sure that when you train the model or create it manually you set the default "output_uri"

task = Task.init(..., output_uri=True)

or

task = Task.init(..., output_uri="s3://...")
3 months ago
0 When It Comes To Continuous Training, I Wanted To Know How You Train Or Would Train If You Have Annotated Data Incoming? Do You Train Completely Online Where You Train As Soon As You Have A Training Example Available? Do You Instead Train When You Have A

What about the epochs though? Is there a recommended number of epochs when you train on that new batch?

I'm assuming you are also using the "old" images ?
The main factor here is the ratio between the previously used data and the newly added data, you might also want to resample (i.e. train on more) new data vs old data. make sense ?

3 years ago
0 Heya, Just Wanting To Know The State Of Current And Planned Features In Term Of Secret Managements/Key-Value Stores To Be Used In Clearml Pipelines, If They Exists Of Course. That Would Be Very Handy And Less Cumbersome Than Having To Deal With External S

Hi FierceHamster54
Thanks for bringing it up πŸ™‚

... in term of secret managements/key-value stores

Currently the open-source version does not include the Vault support (e.g. secret management), this is something they added to the enterprise version a few versions away, and as far as I understand this is a per user/project/company granularity feature (i.e. company wide merging with project merging with user specific).
Is this what you are looking for or am I missing something ?

2 years ago
0 If I Clone A Task, I Suppose All Artifacts Are Not Cloned With It, Even If They Are Registered, Right?

Very lacking wrt to how things interact with one another

If I'm reading it correctly, what you are saying is that some of the "big picture" / holistic approach on how different parts interact with one another is missing, is that correct?

I think ClearML would benefit itself a lot if it adopted a documentation structure similar to numpy ecosystem

Interesting thought, what exactly would you suggest we "borrow" in terms of approach?

2 years ago
0 I Am Trying Pytorch Nightly Again With Python 3.10. Works Fine Locally, But Fails On Clearml-Agent In Docker Mode.

So this is verry odd, it looks like a pip bug:
The agent is trying to install torch==2.1.0.* because by default it ignores the 4th+ parts (they are unstable and torch have tendency to remove them) . and for some reason pip will not match 2.1.0.* with for example "2.1.0.dev20230306+cu118"
but based on the docs it should work:
see here: None

As a workaround you can always edit and change to the final url for example: so ...

one year ago
0 Hey All, I Want To Purchase The Pro Version Of Clearml But Would Like To Have A Better Understanding Of The Metric Events And Api Calls That Are Performed When Using Clearml-Serving. For Example: I Have No Understanding Which Docker Container Calls The Ap

Hi @<1526371965655322624:profile|NuttyCamel41>
I think that the only way to actually get huge number of api calls is with a lot of machines.
For example, regardless of the amount of console-logs you print, it will only be a single call, as these are packages every 2-10 seconds. The same with metric reporting etc.
On the free tier you cal already test the amount of API calls, I think the mechanism is exactly the same
fyi: I would put this question in the channel

one year ago
0 Am Reading Through The New Docs…. How Do I Go About Creating The Cron Jobs In The Ui

Hi ComfortableHorse5
Yes this is more of a suggestion that you should write them using the platform capabilities, the UI implementation is being worked on, as well as a few helpers classes, I thin you'll be able to see a few in the next release πŸ™‚

3 years ago
0 Hello, I'M Diego. I'M Training Nns Using Clearml. I'Ve Had Some Problems When Cloning Experiments And Changing Hyper Params. My Train Script Loads 

Now in case I needed to do it, can I add new parameters to cloned experiment or will these get deleted?

Adding new parameters is supported πŸ™‚

3 years ago
0 Hi, I Am Trying To Setup The Path To Trains.Conf File Programatically And Having Trouble.. We Tried Using Os.Environ['Trains_Config_File'] = Path, And Also Other Variations Of Overriding The Trains.Backend_Config.Defs But Nothing Seem To Work.. When Creat

Hi RipeGoose2

when creating a task the default path is still there

What do you mean by "PATH" do you want to provide path for the config file? is it for trains manual execution or the agent ?

4 years ago
0 Hey - I'M Trying To Compare Voxel Versus Clear Ml In Image Data Exploration.

I'm hoping i can find an end to end solution that also includes experiment management

Well of course biased here, but ClearML with the hyperdatasets is probably the most complete one.
Specifically with model performance analysis I would add voxel open-source to dissect specific results. but the combination of the abstraction and query capabilities of hyperdatasets, orchestration and experiment management are really unmatched for.
(and again of course I'm biased, but really there is n...

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

Hi BroadMole98

What I think I am understanding about trains so far is that it's great at tracking one-off script runs and storing artifacts and metadata about training jobs, but doesn't replace kubeflow or snakemake's DAG as a first-class citizen.Β How does Allegro handle DAGgy workflows?

Long story short, yes you are correct. kubeflow and snakemake for that matter, are all about DAGs where each node is running a docker (bash) for you. The missing portions (for both) are:
How do I cr...

4 years ago
0 Hello, I Have The Following Basic Snippet Where I'M Trying To Add Another Value To The Task'S Connected Arguments After Calling

Hi GiganticTurtle0
You can keep clearml following the dictionary auto updating the UI
args = task.connect(args)

3 years ago
0 Can I Run A Random Task From A Queue? Like This

, the easiest way possible would be if could just some how run task and let the lsf manage the environment

You mean let the LSF set the conda/venv ? or do you also mean to get the code-base, changes etc ?

2 years ago
0 Hi There :) Can Anybody Tell Me What The Best Practice Is For Performing A Normalization In The Preprocess.Py Script Used By Clearml-Serving? Currently I Use A Sklearn Minmaxscaler Which Is Loaded And Applied Before And After The Data Is Send To The Model

Yes! I checked it should work (it checks if you have load(...) function on the preprocess class and if you do it will use it:
None

def load(local_file)
    self._model = joblib.load(local_file_name)
    self._preprocess_model = joblib.load(Model(hard_coded_model_id).get_weights())
one year ago
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