CLEARML_DOCKER_IMAGE=nvidia/cuda:10.1-runtime-ubuntu18.04
How do I pull the image using the agent?

I looked there, but couldn't find it. I'm currently experimenting with your free hosted server

Hey, I tried doing that but sadly it doesn't seem to work. As suggested by the ECR docs, I added:
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin <ECR URI>To the extra_vm_bash_script in the config file. I even added a docker pull which I think worked (because it took much longer for the instances to spin up), but I still got the same error message 😞 Is there any way to debug these sessions through clearml? Thanks!

so no magic "username" key? 😛

cool! just to verify - I'll still need to have the credentials created in the server, right?

nope, the experiment is stuck in RUNNING state

Also, tried the continue_pipeline option, didn't work as it couldn't parse the previous step that run...
ValueError: Could not parse reference '${run_experiment.models.output.-1.url}', step run_experiment could not be found

yeah, maybe as an option in the Task.init

yeah, totally. Are there any services OOB like this?

Is there an option to do this from a pipeline, from within the add_step method? Can you link a reference to cloning and editing a task programmatically? nope, it works well for the pipeline when not I don't choose to continue_pipeline

Hooray! That works AND the feature works!
Quick follow up question, is there any way to abort a pipeline and all of the tasks it ran?

nope, only port 22 is open for SSH. Is there anyway to set that as the port for clearml-session?

ok, hopefully last question on this subject 🙂
I want to use Jenkins for some pipelines. What I would like to do is have one set of credentials saved on Jenkins. Then whenever a user triggers a pipeline - this is the user that will be marked as the task's user.
If I understand the options you suggested, I'll currently need either to (1) have some mapping between users and their credentials and have all the credentials saved on Jenkins; or, (2) have each user manually add 2 environment varia...

Sure, redacted most of the params as they are sensitive:
` run_experiment {
base_task_id = "478cfdae5ed249c18818f1c50864b83c"
queue = null
parents = []
timeout = null
parameters {
# Redacted the parameters
}
executed = "d1d361d1059c4f0981200f59d7683773"
}
segment_slides {
base_task_id = "ae13cc979855482683474e9d435895bb"
queue = null
parents = ["run_experiment"]
timeout = null
parameters {
Args/param = """
[
#...

Great, good to know!

AgitatedDove14 is there any update on the open issue you talked about before? I think it's this one: https://github.com/allegroai/clearml/issues/214

python -m http://script.as .a.module first_arg second_arg --named_arg value <- something like that

something needs to run the autoscaler, I thought it would be the machine that runs the services queue, no?

legit, I was thinking only about task tracking, less about user based credentials. good point

And for some reason this clone is marked as completed. Not sure why, as it failed

right, of course 🙂 so just to make sure I'm running it correctly. I ran python aws_autoscaler.py --run on my laptop and I see the Task on ClearML. Then took a completed task, cloned it and enqueued to the queue defined on the autoscaler. That should spin up an instance, right? (it currently doesn't, and I'm not sure where to debug)

what about using ENV variables? is it possible to override the config file's credentials?

makes sense! thanks

Right... apparently the nvidia-docker wasn't set up. Thanks!

I have access to the machine using SSH from my computer.
There doesn't seem to be any other error in the debug mode.
` Remote machine is ready
Setting up connection to remote session
Starting SSH tunnel

SSH tunneling failed, retrying in 3 seconds
Starting SSH tunnel `

when I ran the script it autogenerated the YAML, so I should manually copy it to the remote services agents?

Thanks!

I was thinking about sending the parameters programatically. We have different pipelines that can generate tasks, I would like to be able to tell trains the user who started the pipeline.

I just want to use auth0 (which we already use in the company) in order to manage the users...

yup, it's there in draft mode so I can get the latest git commit when it's used as a base task