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AlertBlackbird30
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13 Questions, 83 Answers
  Active since 10 January 2023
  Last activity 8 months ago

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6 × Eureka!
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ClearML v1.0.1 is available on github. Mostly a few bug fixes but the low-down is over here ; https://github.com/allegroai/clearml-server/releases/tag/1.0.1
2 years ago
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Howdy and Good morning anyone who is 🙂 We have an upcoming live Q&A with our lead engineer today at 1pm EDT. If you have ever wanted a peek into the minds b...
2 years ago
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2 years ago
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Hello (yes, I did use the everyone button/tag, sorry!), please join us in welcoming ClearML 1.0. The community hosted server was quietly updated over the wee...
2 years ago
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Greetings and hello . If I may have a few seconds of your time, I would love to draw your attention to the updated ClearML homepage (at https://clear.ml 🙂 ....
2 years ago
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2 years ago
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For any early adopters, who also want to give us feedback - both good and bad, please feel free to try the clearml-serving beta https://pypi.org/project/clea...
2 years ago
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Announcing ClearML 0.17.5 Features Improve Datasets support Reporting and Plotly improvements Add force_download argument (special shout out to JitteryCoyote...
2 years ago
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Also, did you enjoy our talk and workshop? Do you have any questions? Join our LIVE Q&A livestream session to answer all your MLOps questions! We are going l...
2 years ago
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The ClearML Ops end to end on Pipelines is currently under way here https://gtc21.event.nvidia.com/media/1_477hq95y
2 years ago
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As someone much smarter than me noted.. in our small community we have reached 500 users this morning. It's a small milestone but nothing wrong with celebrat...
2 years ago
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I am new here, so, I apologize in advance if this annoys people but, if you could spare a few seconds, then please tell us how you first heard about ClearML/...
2 years ago
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CTO is currently talking about ClearML and it's reason d'etre here ; https://gtc21.event.nvidia.com/media/1_yp84hx7v (signup required but an NVidia account s...
2 years ago
0 Well, This Is My Question... I'M Trying To Adapt Clearml To Aws Using Basically Ecs Fargate + Documentdb + Aws Es + Elasticache + Efs. I Could Start The Fileserver Component, But Now I'M Trying To Start The Api Server And Is Not Working, Before Stop The T

if you manage to get it up and running, I would love to do a deep dive with you to understand how you did and share it on the company's blog 🙂 🙂

no pressure 😜

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

I agree with Martin.B, it appears to be a CUDA mismatch. The version of torch is trying to use cuda 10.2 but you have
agent.default_docker.image = nvidia/cuda:10.1-runtime-ubuntu18.04that should probably be
agent.default_docker.image = nvidia/cuda:10.2-runtime-ubuntu18.04

2 years ago
0 Hi Clear Ml Community, I’M Interested In Technical Deep Dive Of Clear Ml Feature Store. I Know This Is An Enterprise Offering, But Would Be Good To See Future Perspective Of Enterprise Package On At Least A Level Of Architecture Of Fs. Thanks!

Hey Slava, I don't mean to be "that guy" but, I am interested in what do you think a feature store means/implies/should do. The term is still (to my mind) very open to interpretation.. so I would honestly love to hear from you (and others)

The enterprise feature store we have should probably be more named as "data store but with advanced search/update capabilities" but.. that's not as nice sounding.

If you mean feature store as 'data ingestion via a DSL with type checking' then this is no...

2 years ago
0 Hi Clear Ml Community, I’M Interested In Technical Deep Dive Of Clear Ml Feature Store. I Know This Is An Enterprise Offering, But Would Be Good To See Future Perspective Of Enterprise Package On At Least A Level Of Architecture Of Fs. Thanks!

honestly, I don't think the feature store we have would suit your needs. It is much closer to a data store in functionality with some nice to haves, rather than a feature store that is missing some bits.
Personally, I have used Feast before with a client, but only because it's a "pip install" to get it into place. It's a much lower barrier to entry than most of the others (again, bear in mind, I am a pythonista)

2 years ago
0 Hello Guys

Hey Federico, since you are doing this from inside python, you could always call the 'get_parameters_as_dict' from the Task you have cloned, merge/update whichever ones you want to (or not), and then call ' set_parameters_as_dict ' .. I believe that should get you where you want to go 🙂

2 years ago
0 Hi All, Is There A Way To Schedule The Tasks From The Queue Onto The Gpu Instances Based On Factors Such As Gpu Utilisation, Number Of Cpu Cores Present, Free Memory Or Custom Parameters Such As Priority Of The Task, Estimated Time Etc?

I would think that a combination of kubernetes (I believe the preferred way to support multiple users at once, but open to being wrong) and individual queue's is probably the solution here.

for example; in kubernetes you could setup an agent to listen to bob-queue and another agent to listen to alice-queue. In the kubernetes dashboard you could assign a certain amount of cpu/memory and if using taints, gpu or not.

2 years ago
0 I See That There Are New Products Called Clreaml Deploy And Clearml Hyper Datasets. What Are The Use Cases Or Features Of These ?

clearml-deploy is clearml-serving but with other parts more intwined such as ci/cd prompts/callbacks, if you think clearml-deploy has a bit more love given to it, I believe that will put you on the right track, but at it's core, it's the same idea Sir.

the hyper datasets have always been there in the enterprise offering. It allows you to query datasets and perform functions such as updating labels on an image without an entire re-batching. I think we are trying to find a way to bring this to...

2 years ago
2 years ago
0 Did Someone Here Already Try The

I have a strange theory, that if the code is in classes, then you could include both in one .py file and then ENV["use_model"]="a" or ENV["use_model"]="b" to select between them .. in that way, you would clone the experiment and change the config and re-run

2 years ago
0 Did Someone Here Already Try The

but of course, this is all largely dependent on your code and structure etc

2 years ago
0 Did Someone Here Already Try The

howdy Tim, I have tried to stay out of this, because a lot is going over my head (I am not a smart man 🙂 but, one thing I wanted to ask, are you doing the swapping in and out of code to do a/b testing with your models ?! Is this the reason for doing this ? Because if so, I would be vastly more inclined to try and think of a good way to do that. Again, this maybe wrong, I am trying to understand the use case for swapping in and out code. 🙂

2 years ago
0 I Have A Notebook Which Is Uncommited. It Is Being Run On A Remote Machine With Clearml-Agent Through Clearml-Session. Everything With Newest Versions, Server Is Community-Hosted. Under Uncommitted Changes I See

Howdy Jevgeni, that's .. strange. I am using google colab (free edition 🙂 and doing exactly the same as you, but I don't see any uncommited changes.. hrrm.. can you try this on colab maybe ? I am wondering if it's your jupyter notebook's version of python or some other notebook extension maybe

2 years ago
0 There Doesn'T Seem To Be Any Setup Required To Use Clearml In Colab In The Examples. But, What If The Google Account For My Colab Is Not The Same Google Account As I Use For Clearml? Still Work?

Shameless plug here ; https://clear.ml/blog/jupyter-notebooks-used-as-clearml-workers/

this whole area is a WIP of course, but I am trying to capture some of the really interesting Q and A from here so that they don't jst disappear into the void 🙂

2 years ago
0 Clearml Server Deployment Uses Node Storage. If More Than One Node Is Labeled As App=Clearml, And You Redeploy Or Update Later, Then Clearml Server May Not Locate All Your Data.

one last tiny thing TrickySheep9 .. please do let us know how you get on, good or bad.. and if you bump into anything unexpected then please do scream and let us know 🙂

2 years ago
0 Does Clearml-Session Work In A Kubernetes Environment?

Hey Manoj, I am not sure how clearml-session would know how to setup kube-proxy, if that's your intent.

Personally, I would run the clearml-server and agents on the k8s cluster, and then expose the server endpoints via kube proxy or some other nicer ingress. Then you can run jupyter locally and you should be good. Jupyter session remotely running on k8s would be a logistical nightmare 🙂

2 years ago
0 Does Clearml-Session Work In A Kubernetes Environment?

maybe I am entirely wrong .. I read clearml-session as running a remote 'headless container with jupyter'.. but not on k8s.. or rather... the pre-requisites say that 'ssh access', which you won't have in a k8s cluster (I would hope). I mean.. exposing the ssh port on a k8s cluster is jst a security nightmare.

2 years ago
0 Does Clearml-Session Work In A Kubernetes Environment?

The way I read that is if you have exposed your clearml-server via k8s ingress then you can, from outside the k8s, say to clearml-session this is the k8s ingress/ip

2 years ago
2 years ago
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