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8 × Eureka!That's interesting, how would you select experiments to be viewed by the dashboard?
https://github.com/allegroai/trains/issues/193 for future reference (I will update later)
Also, while we are at it, EnviousStarfish54 ,can I just make sure - you meant this page, right?
https://allegro.ai/enterprise/
EnviousStarfish54 I recognize this table π i'm glad you are already talking with the right person. I hope you will get all your questions answered.
As I wrote before these are more geared towards unstructured data and I will feel more comfortable, as this is a community channel, if you continue your conversation with the enterprise rep. if you wish to take this thread to a more private channel I'm more than willing.
EnviousStarfish54 that is the intention, it is cached. But you might need to manage your cache settings if you have many of those, since there is an initial sane setting for the cache size. Hope this helps.
Looks like it is still running DeliciousSeaanemone40 , you're suggesting it is slower than usual? There are some messages there that I've never seen before
#goodfirstissue AgitatedDove14 π€£
Okay, I'll make a channel here today, and the sticky post on it would be a list of other channels πͺ
For now here is one of my favorites:
@<1523714910930866176:profile|MiniatureStarfish88> if you are here make sure to vote for the next presentor of my show ^
Hmm... For quick and dirty integration that would probably do the trick, you could very well issue clearml-task commands on each kubeflow vertex (is that how they are called?)
What do you think AgitatedDove14 ?
There are an astounding number of such channels actually. It probably depends on your style. Would you like me to recommend some?
Of course we can always create a channel here as well... One more can't hurt π
if she does not push, trains has a commit id for the task that does not exist on the git server. if she does not commit - trains will hold all the diff from the last commit on the server.
horray for the new channel ! you are all invited
Sure thing. All you need is the credentials. Did you see my extreme example here? https://youtu.be/qz9x7fTQZZ8
EnviousStarfish54 first of all, thanks for taking the time to explore our enterprise offering.
- Indeed Trains is completely standalone. The enterprise offering adds the necessary infrastructure for end-to-end integration etc. with a huge emphasis on computer vision related R&D.
- The data versioning is actually more than just data versioning because it adds an additional abstraction over the "dataset" concept, well this is something that the marketing guys should talk about... unless you ...
If you can recreate the same problem with the original repo... π€― π€©
EnviousStarfish54 lets refine the discussion - are you looking at structured data (tables etc.) or unstructured (audio, images etc)
submouldes == git submodules
WackyRabbit7 It is conceptually different than actually training, etc.
The service agent is mostly one without a gpu, runs several tasks each on their own container, for example: autoscaler, the orchestrators for our hyperparameter opt and/or pipelines. I think it even uses the same hardware (by default?) of the trains-server.
Also, if I'm not mistaken some people are using it (planning to?) to push models to production.
I wonder if anyone else can share their view since this is a relati...
That's always nice to hear. Remember that many of these improvements came from the community and you can always submit a feature request on our github repo https://github.com/allegroai/clearml/issues
Well, we had a nice video from twimlcon but it is not up yet on our site. I recently gave a very long demo on both basic and semi-advanced clearml usage - you can watch it here
https://youtu.be/VJJsVJiWnYY?t=1774
the slides are here:
https://docs.google.com/presentation/d/1PFPTQkHVGxugruTRFDnuVmS85ziSbNOTixCVQwPMFDI/edit?usp=sharing
code is here:
https://github.com/abiller/events/tree/webinars/webinars/flower_detection_rnd
BattyLion34 we're here if you have more questions. Have you seen my recent webinar? https://youtu.be/Y5tPfUm9Ghg
Oh hey, did someone mention my name on this thread? MiniatureCrocodile39 did you manage to create a pycharm virtual env with clearml installed?
I will dig around to see how all of this could be accomplished.
Right now I see it done in two ways:
a function that you must remember to call each time that would do the upkeep a script that you can run once in a while to do cleanupwhich one would you prefer that I will pursue?