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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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docs are up
5 years ago
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Is you server using https ?!
5 years ago
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0 Votes 3 Answers 632 Views
@<1523703325881536512:profile|ConvolutedSealion94> these are xgboost internal metrics that are automatically picked by clearml
2 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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YummyWhale40 awesome thanks!
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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πŸ™ Please skip cleaml python package v1.0.1 and just move on to v1.0.2 😊 apologies for the inconvenience πŸ™‚ pip install clearml==1.0.2
3 years ago
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Hi Guys! I have great news, we finally fully implemented support for continuing previously trained models πŸŽ‰ Here is a quick example (this is torch, but any ...
4 years ago
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https://m.facebook.com/story.php?story_fbid=2484620658505570&id=1620822758218702&refid=52&tn=-R
5 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
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apparently everyone can ...
5 years ago
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4 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 ...
2 years ago
Show more results questions
0 Getting This Error At

Hi TrickySheep9
Hmm I think you are correct, exit remotely will not work inside a jupyter notebook because it will not be able to close it.

I was just revising workflows that might be similar, wdyt?
https://clearml.slack.com/archives/CTK20V944/p1620506210463400?thread_ts=1614234125.066600&cid=CTK20V944

3 years ago
0 I Am Back With Another Question: Is There A File Similar To The

I think you are onto a good flow, quick iterations / discussions here, then if we need more support or an action-item then we can switch to GitHub. For example with feature requests we usually wait to see if different people find them useful, then we bump their priority internally, this is best done using GitHub Issues πŸ™‚

4 years ago
0 Hi All, Looking For Some Help When Executing Pipelines With Custom Docker Images. I Have A Component Defined And I Expect Its Python Runtime Environment To Be Managed By A Custom Docker Image (

Hi WickedStarfish97

As a result, I don’t want the Agent to parse what imports are being used / install dependencies whatsoever

Nothing to worry about here, even if the agent detects the python packages, they are installed on top of the preexisting packages inside the docker. That said if you want to over ride it, you can also pass packages=[]

3 years ago
3 years ago
0 Hi All, I'M Trying To Use The Relatively New Jupyter Preview Feature But For Some Reason I Have The Notebook Artifact Under Artifacts But The Preview Is Unavailable.. Am I Missing Some Needed Steps? Thanks!

RipeGoose2

HTML file is not a standalone and has some dependencies that require networking..

Really? I thought that when jupyter converts its own notebook it packages everything into a single html, no?

3 years ago
0 Hmm Is There Any Clear (Pun Intended) Documentation On The Roles Of Storagemanager, Dataset And Artefacts? It Seems To Me There Are Various Overlapping Roles And I'M Not Sure I Fully Grasp The Best Way Of Using Them. Especially When Looking At The Way Da

JealousParrot68 yes this seems like a correct description.
The main diff between 1 & 2 is what is the actual data, if this is training/testing data, then Dataset would make sense, if this is a part of a preprocessing pipeline, then artifacts make more sense (notice we added pipeline step caching in the artifacts, so that you can reuse steps if they have the same parameters/code, which means you are able to clone a pipeline and rerun without repeating unnecessary data processing.

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 Hi Everybody, I'M Running Experiments Inside A Docker Which Includes Multiple Python Instances, Some Of Them Are Inside Conda Environments. How Can I Specify The Agent To Use A Specific Conda Environment Inside The Docker?

Hi CrookedWalrus33
the python version is auto detected and register in "manual execution" time (i.e. when you run your code on your machine).
That said this is a suggestion for the agent, and only if it can actually find the matching Python version it will use it, otherwise it will use whatever is
available (i.e. Look through the PATH environment for a matching pythonX.Y executable)
The easiest way to support would just make sure the python binary's path is added to the PATH env.
Does...

2 years ago
0 I'M Having Issues Running Trains-Agent On My Aws, It Seems To Not Be Able To Install Pytorch... I Have

So a bit of explanation on how conda is supported. First conda is not recommended, reason is, is it very easy to create a setup on conda that is un-reproducible by conda (yes, exactly that). So what trains-agent does, it tries to install all the packages it can first with conda (not one by one, because that will break conda dependencies), then the packages that it failed to install from conda, it will install using pip.

4 years ago
0 Hello! Question About

notice that even inside docker the venv is cached on the host machine πŸ™‚

one year ago
0 So, I'M Trying To Do A Several-Step Process, But It Needs To Run On A Gpu Queue In Clearml. How Would I Do That? Specifically, Here'S What I'M Trying To Do, Is It Possible?

Hi SmallDeer34
Is the Dataset in clearml-data ? If it is then Dataset.get().get_local_copy() will get you a cached local copy of the entire dataset.
If it is not, then you can use StorageManager.get_local_copy(url_here) to download the dataset.

  1. Any Argparser is automatically logged (and later can be overridden from the UI). Specifically HfArgumentParser will be automatically logged https://github.com/huggingface/transformers/blob/e43e11260ff3c0a1b3cb0f4f39782d71a51c0191/examples/pytorc...
3 years ago
0 Hope Everyone'S Having A Nice Holiday Period. I'Ve Been Debating Between Cron And The Clearml Taskscheduler Cron Is The Solution I'M Currently Using But I Wanted To Understand The Advantages To Using The Taskscheduler. Right Now I'M Using The Classic Cro

Hi @<1545216070686609408:profile|EnthusiasticCow4>

Now that it's running how does one add a new task or remove an existing task from the scheduler?

Did you notice the scheduler stores its own configuration as a config object on the Task?
Notice that you can abort/reset the scheduler, change it's configuration in the UI and relaunch it (i.e. enqueue it). It will use the configuration from the UI (backend) and not the original code that created it. Does that make sense?

one year ago
0 Hi, I Shifted My Clearml Setup To An On-Premise Disconnected Env, Which Has A Pip Repo Setup. I Noted This Warning,

Hi SubstantialElk6
clearml-agent was just updated, it should solve the issue.2. Notice that "torch" / "torchvision" packages are resolved by the agent based on the pytorch compatibility table. Is there a way to reproduce the issue where it fails resolving the torch version? could you send a full log?
3. If you want a specific torch version , you can put a direct link to the torch wheel, for example: https://download.pytorch.org/whl/cu102/torch-1.6.0-cp37-cp37m-linux_x86_64.whl

3 years ago
0 So I Bumped Onto This Comparison Shared By Dagshub. It Kinda Placed Clearml Is A Rather Bad Position Compared To Everything Else In The Industry.

Hi CynicalBee90
Always great to have people joining the conversation, especially if they are the decision makers a.k.a can amend mistakes πŸ™‚
If I can summarize a few points here (and feel free to fill in / edit any mistake or leftovers)
Open-Source license: This is basically the mongodb license, which is as open as possible with the ability to, at the end, offer some protection against Amazon giants stealing APIs (like they did for both mongodb and elastic search) Platform & language agno...

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-

SoreDragonfly16 as SmallDeer34 mentioned, you can iterate over the Tasks, pull metrics (with either task.get_last_scalar_metrics or task.get_reported_scalar ) then report them on the Task that runs the Loop itself with the Logger.
wdyt?

3 years ago
0 I Wanted To Ask, How To Run Pipeline Steps Conditionally? E.G If Step Returns A Specific Value, Exit The Pipeline Or Run Another Step Instead Of The Sequential Step

Hi VexedCat68
(sorry I just saw the message)

I wanted to ask, how to run pipeline steps conditionally? E.g if step returns a specific value, exit the pipeline or run another step instead of the sequential step

So do do so you can do:
` def pre_execute_callback_example(a_pipeline, a_node, current_param_override):
# if we want to skip this node (and subtree of this node) we return False
...
# ew decided to skip so we return False
return False

pipe.add_step(name='...

3 years ago
0 Hey, I Have A Question Regarding “Logger.Report_Table”, It’S Seems Like After The Table Is Drawn In The Ui I Cannot Change The Column Size And More Annoying I Cannot Select Content From Table To Copy It. Anyone Know What Params I Need To Pass In Order To

@<1546303254386708480:profile|DisgustedBear75> is think this was a UI bug, they are just releasing a new version that fixes that (i.e. server version), are you running a self-hosted server?

one year ago
0 Hi I Saw This On The Clearml-Agent Docs But Other Than The Docker Image, I'M Not Sure How To Integrate This With Clearml Py And Clearml-Server. Please Advise.

Hi SubstantialElk6
No need for that, you can use the helm chart (or spin them once with kubctl) then they take care of scheduling by themselves.
You can also use the k8s glue (basically spinning kubernetes pods automatically for you, based on the Tasks that you push into the ClearML queue)
https://github.com/allegroai/clearml-agent/blob/master/examples/k8s_glue_example.py

In short, two possible deployments
Static k8s pod running the agent (then the agent runs all the experiments inside t...

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

RoundMosquito25 do notice the agent is pulling the code from the remote repo, so you do need to push the local commits, but the uncommitted changes clearml will do for you. Make sense?

2 years ago
0 Looking At Clearml-Serving - Two Questions - 1, What’S The Status Of The Project 2. How Does One Say How A Model Is Loaded And Served Etc? For Example, If I Have A Spacy Ner Model, I Need To Specify Some Custom Code Right?

'config.pbtxt' could not be inferred. please provide specific config.pbtxt definition.

This basically means there is no configuration on how to serve the mode, i.e. size/type of lower (input) layer and output layer.
You can wither store the configuration on the creating Task, like is done here:
https://github.com/allegroai/clearml-serving/blob/b5f5d72046f878bd09505606ca1147d93a5df069/examples/keras/keras_mnist.py#L51
Or you can provide it as standalone file when registering the mo...

3 years ago
0 Can Anyone Recommend A Good Workflow For

do you have a video showing the use case for clearml-session

I totally think we should, I'll pass it along πŸ™‚

what is the difference between vscode via clearml-session and vscode via remote ssh extension ?

Nice! remote vscode is usually thought of as SSH, basically you have your vscode running on your machine, and using SSH vscode automatically connects to the remote machine.

Clearml-Session also ads a new capability VSCode inside your browser, where the VSCode itself as well...

one year ago
3 years ago
0 Back To Autoscaler; Is There Any Way To Ensure The Environment Variables On The Services Queue (Where The Scaler Runs) Will Be Automatically Exposed To New Ec2 Instance? Some Bash Hack Or Similar Would Be Nice, Really

the services queue (where the scaler runs) will be automatically exposed to new EC2 instance?

Yes, using this extra_clearml_conf parameter you can add configuration that will be passed to the clearml.conf of the instances it will spin.
Now an example to the values you want to add :
agent.extra_docker_arguments: ["-e", "ENV=value"]https://github.com/allegroai/clearml-agent/blob/a5a797ec5e5e3e90b115213c0411a516cab60e83/docs/clearml.conf#L149
wdyt?

2 years ago
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