Hi PompousBeetle71 , this actually fits with other feedback we received.
And for that reason it is already being worked on! 🙂

I have a few questions as we are designing the new interface.

I think our biggest question was, are projects like folders?
That is: I can have experiments in a project, but also sub-projects?
Or parent projects are a way to introduce hierarchy into the mess, which means a project has either experiments in it, or sub-projects, but not both
(obviously in both cases...

ShaggyHare67

Now the 

trains-agent

 is running my code but it is unable to import 

trains

 ...

What you are saying is you spin the 'trains-agent' inside a docker? but in venv mode ?

On the server I have both python (2.7) and python3,

Hmm make sure that you run the agent with python3 trains-agent this way it will use the python3 for the experiments

If you set the package_manager to peotry then it will only use the lock files
https://github.com/allegroai/clearml-agent/blob/21c4857795e6392a848b296ceb5480aca5f98e4b/docs/clearml.conf#L53
If you clear the "Installed Packages" section, it will just use the "requirements.txt" in the repository itself.
What's the specific use case, and the problem we are trying to solve?

I think this is the discussion you are after:
https://clearml.slack.com/archives/C01H5VAUZ8R/p1612452197004900?thread_ts=1612273112.002400&cid=C01H5VAUZ8R

that does happen when you create a normal local task, that's why i was confused

The parts that are not passed in both cases are the configurations from the conf file. Only the environment is passed (e.g. git python packages etc) , . For example if you have storage credentials in your conf file , they are not passed to a remote agent, instead the credentials from the remote agent are used when it runs the task.
make sense?

Hmm, so what I'm thinking is "extending" the capabilities of the "configuration" section (as it seems this is the right context). Allowing to upload a bunch of files (with the same mechanism as artifacts), as zip files, in the configuration "editable" section have the URL storing the zip, together with the target folder. wdyt?

ohh, not really 😞 this is really low level editing the DB.
You might be able to forcefully edit the links (i.e. artifacts) on the Dataset (task)
Check if this works

from clearml.backend_api.session.client import APIClient
c = APIClient()
t = c.tasks.get_by_id("DATASET_UUID_HERE")
# you might need to loop over the artifacts
t.data.execution.artifacts[0].uri = "

"
c.tasks.edit(task=t.id, execution=t.data.execution, force=True)

BoredGoat1 where exactly do you think that happens ?
https://github.com/allegroai/trains/blob/master/trains/utilities/gpu/gpustat.py#L316
?
https://github.com/allegroai/trains/blob/master/trains/utilities/gpu/gpustat.py#L202

print(requests.get(url='

print(requests.get(url='

Are you saying it only records the last 3 epochs or is it the first three epochs ?
Can you see scalars logged from other epochs ?

You mean like for your internal support channel inside your company ?

So you are saying 156 chunks, with each chunk about ~6500 files ?

GiganticTurtle0 you mean the repo for the function itself ?
the default assumes the function is "standalone", you can specify a repo with:
@PipelineDecorator.component(..., repo='.')
will take the current folder's repo (i.e. the local one)
you can also specify repo url/commit etc (repo=' https://github/user/repo/repo.git ' ....)
See here:
https://github.com/allegroai/clearml/blob/dd3d4cec948c9f6583a0b69b05043fd60d8c103a/clearml/automation/controller.py#L1931

Hi GracefulDog98
The agent will map the ~/.ssh folder automatically into the docker's /root/.ssh
It will also convert http links to ssh pull if you set force_git_ssh_protocol
in your clearml.conf :
https://github.com/allegroai/clearml-agent/blob/351f0657c3dcf707659875d7e0a52fa387709978/docs/clearml.conf#L25

Can you run the entire thing on your own machine (just making sure it doesn't give this odd error) ?

Yey!

i have it deployed successfully with istio.

Nice!

the only thing we had to do to get it to work was to modify the nginx.conf in the webserver pod to allow http 1.1

I was under the impression we fixed that, let me check

s there any way to see datasets uploaded to ClearML Data without downloading them using ClearML Data?

Hi VexedCat68
Currently when you create datasets with clearml-data it has to repackage your files, i.e. upload them. That said we have received numerous requests on "registering data", and we are looking into it.
Here is the main technical hurdles we are facing, and I would love to get your perspective:
If the data is not available locally, we cannot calculate the hash of the conten...

is there GPU support

That's basically depends on your template yaml resources, you can have multiple of those each one "connected" with a diff glue pulling from a diff queue. This way the user can enqueue a Task in a specific queue, say single_gpu , then the glue listens on that queue and for each clearml Task it creates a k8s job the single gpu as specified in the pod template yaml.

I think my question is more about design, is a ModelPipeline class a self contained pipeline? (i.e. containing all the different steps or is it a single step in a pipeline)

Sure thing!
BTW: not sure if it helps but the SaaS version integrates with Genesis Cloud I know they provide cheap GPUs might be worth checking

So was the issue solved?

Hi CurvedHedgehog15

User aborted: stopping task (3)

?

This means "someone" externally aborted the Task, in your case the HPO aborted it (the sophisticated HyperBand Bayesian optimization algorithms we use, both Optuna and HpBandster) will early stop experiments based on their performance and continue if they need later

where the ui merges the plots just as we want and I was wondering if there is some simple way to do it in the case of all plots.

we can do it for scalars (this is trivial)
We can merge specific plots when they are simple, I think basic histograms.
But for any generic plots we fear the merge will just fail, and this is why it defaults to side by side.

how can I combine two plots in the ui as you mentioned?

The easiest solution is to use, "report_scatter2d", these are specific pl...

Sure, to get what exactly ?

now i cant download neither of them

would be nice if address of the artifacts (state and zips) was assembled on the fly and not hardcoded into db.

The idea is this is fully federated, the server is not actually aware of it, so users can manage multiple storage locations in a transparent way.

if you have any tips how to fix it in the mongo db that would be great ....

Yes that should be similar, but the links would be in artifact property on the Tasks object
not exactly...

Can you share the storagemanager usage, and error you are getting ?

pip install clearml==1.0.6rc2Did not work?!

Hi SarcasticSparrow10

which database services are used to...

Mongo & Elastic
You can query everything using ClearML interface, or talk directly with the databases.
Full RestAPI is here:
https://clear.ml/docs/latest/docs/references/api/endpoints
You can use the APIClient for easier pythonic interface:
See example here
https://github.com/allegroai/clearml/blob/master/examples/services/cleanup/cleanup_service.py

What is the exact use case you have in mind?

VexedCat68
delete the uploaded file, or the artifact from the Task ?