You would also need to edit the links somehow that are connected to the task
@<1523701181375844352:profile|ExasperatedCrocodile76> , I think you need to set agent.package_manager.system_site_packages: True
In clearml.conf
ClearML doesn't assume that you have all the necessary packages installed so it does need to have some sort of basis for the packages to install
Hi @<1523701842515595264:profile|PleasantOwl46> , do you see any errors in elastic or in mongo?
Also, any chance there is filtering to only user specific tasks/projects?
What happens if you send a link to an experiment between users?
Hi @<1825341965806342144:profile|DisgustedJellyfish66> , you basically see a blank screen in the webUI? Can you check if there are any errors in the API server or web server containers?
This is how I usually add visualization
#Report data preview
ds.get_logger().report_table(title="Data Sample", series="First Ten Rows", table_plot=data1[:10])
ds.upload()
ds.finalize()
I asking because I used an older version of clearml, when it was named allegro and I remember that I was able to see all the dataset..
Is it possible you had the enterprise version at a previous position? I think you're talking about HyperDS
I notice the links doesn't have hash, do all the features of data versioning is also working when using links (and not actual image files)
Yes
Hi @<1774245220934750208:profile|GleamingTiger28> , you basically need to build it in your code and expose it as parameters, please see the examples for reference - None
Hi BoredBluewhale23 ,
How did you configure the apiserver when you raised the EKS K8S cluster?
NonchalantDeer14 , Hi! Cool find! How do does it show in the UI when you execute remotely?
Do you have a small snippet to play with?
ScaryBluewhale66 , Hi 🙂
Regarding your questions
I think you can just reset the task and enqueue it You can stop it either in the UI or programmatically I'm guessing the scheduler would show errors in it's log if for some reason it failed at something for some reason
Hi @<1523704674534821888:profile|SourLion48> , yes and yes. It's all part of the docs - None
Hi @<1571308003204796416:profile|HollowPeacock58> , do you have a standalone code snippet that reproduces this behavior?
ContemplativeGoat37 , I'm curious about your implementation. Which method was more relevant - config file change or using an environment variable or are both useful?
AbruptWorm50 , please provide a log of the task 🙂
Hi @<1523701553372860416:profile|DrabOwl94> , can you check if there are some errors in the Elastic container?
UnevenDolphin73 , what do you say, did it work?
Do you mean to copy paste the uncommitted changes section and apply it to some local environment regardless of ClearML?
Also, are you maybe somehow tunneled into the EC2 instance and therefor may be seeing it as localhost?
If I'm not mistaken Task.get_last_iteration()
https://clear.ml/docs/latest/docs/references/sdk/task#get_last_iteration
reports the last iteration that was reported. However someone has to report that iteration. You either have to report it manually yourself during the script OR have something else like tensorflow/tensorboard do that reporting and ClearML should capture it
Does it make sense?
Hi @<1668427950573228032:profile|TeenyShells80> , you would need to configure it in the clearml.conf of the machine running the clearml-agent
I think I misunderstood your problem at the start. let me take another look 🙂
Because I think you need to map out the pip cache folder to the docker
Hi @<1535069219354316800:profile|PerplexedRaccoon19> you can setup api.files_server in clearml.conf to point to your s3 bucket
Since the "grand" dataset will inherit from the child versions you wouldn't need to have data duplications
UpsetTurkey67 , I'm not sure. I know that the UI uses the API so everything shown in the UI exists in the backend. So, I just played a bit in iPython with dir(task) to see what it offers 🙂
This looks more appropriate if the username itself is "ubuntu"
Hi, I think this is what you're looking for - None
Do you have a custom certificate for SSL by chance? If this is the case please see the following:
https://github.com/allegroai/clearml/issues/7
The solution would be changing the following to false:
https://github.com/allegroai/clearml/blob/9624f2c715df933ff17ed5ae9bf3c0a0b5fd5a0e/docs/clearml.conf#L16