SweetGiraffe8 Works when I'm using plotly...
Can you please copy paste the code with the plotly, it's probably something I'm missing

Actually with

base-task-id

it uses the cached venv, thanks for this suggestion! Seems like this is equivalent to cloning via UI.

exactly !

But “cloning” via UI runs an exact copy of the code/config, not a variant,

You can override the commit/branch and get the latest ...

run exp tweak code/configs in IDE, or tweak configs via CLI have it re-rerun in exact same venv (with no install overhead etc)So you can actually launch it remotely directly from the code:
...

GleamingGrasshopper63 what do you have configured in the "package manager" section?
https://github.com/allegroai/clearml-agent/blob/5446aed9cf6217f876d3b62226e38f21d88374f7/docs/clearml.conf#L64

Legit, if you have a cached_file (i.e. exists and accessible), you can return it to the caller

Also this message suggests that I can change the configuration, but as said I can't find it anywhere and wouldn't know hot to change the configuration.

This means that you can launch a new one (i.e. abort, clone, edit, enqueue) directly from the web UI and in the UI edit the configuration. Unfortunately it does not support changing the configuration "live"

Hi VastShells9
2022-12-20 12:48:02,560 - clearml.automation.optimization - WARNING - Could not find requested hyper-parameters ['duration'] on base task a6262a151f3b454cba9e22a77f4861e3Basically it is telling you it is setting a parameter it never found on the original Task you want to run the HPO o.
The parameter name should be (based on the screenshot) "Args/duration" (you have to add the section name to the HPO params). Make sense ?

Hi BattyLizard6
Not that I'm aware of, which TF version are you using, and which clearml version?

path: ~/.clearml/venvs-cache

to

# path: ~/.clearml/venvs-cache

Hi AttractiveWoodpecker16
I think is the correct channel for that question.
(any chance you can move your thread there?)
Specifically just email billing@clear.ml they will cancel (no need to worry about the beginning of the month, just explain and they will not charge over Nov)

EDIT: I know they are working on making it a one click in the UI, main limit is what happens with the data that was stored and was above the free tier threshold, anyhow I think next version will sort that as well.

That said , if you could open a github issue and explain the idea behind it, I think a lot of people will be happy to have such process , i.e. CI process verifying code. And I think we should have a "CI" flag doing exactly what we have in the "hack" wdyt?

Try to add '--network host' to the docker args on the task you are launching

Hmmm, that actually connects with something we were thinking about: introducing sections to the hyper parameters. This way we could easily differentiate between the command line arguments and other types of parameters. DilapidatedDucks58 what do you think?

SmarmyDolphin68 if you can reproduce the behavior in a standalone script , it will really accelerate fixing this issue

I think the easiest way is to add another glue instance and connect it with CPU pods and the services queue. I have to admit that it has been a while since I looked at the chart but there should be a way to do that

AttributeError: 'NoneType' object has no attribute 'base_url'

can you print the model object ?
(I think the error is a bit cryptic, but generally it might be the model is missing an actual URL link?)
print(model.id, model.name, model.url)

Okay, this seems to be the problem

https://allegro.ai/clearml/docs/docs/faq/faq.html?highlight=clearml_config_file#clearml-configuration

You can run this code from anywhere. The 'base_task_id' is actually the pipeline controller Task ID.
BTW: Next version will have a nicer interface to query it, but this code will work on the current version

(This code sample should work on your setup with your installed packages without a problem)

AdventurousButterfly15

Despite having manually installed this torch version, during task execution agent still tries to install it somehow and fails:

Are you running the agent in venv mode? or docker mode?
Notice that in docker mode it inherits the python packages from the container, and adds/reinstalls missing packages. In venv mode it creates a New clean venv (there is no way to inherit a venv, venv can only inherit from system wide installed packages)

The idea is that you cannot e...

👍

What happened in the server configuration that all of a sudden you have zero ports open?

Oh I see the pipeline controller itself (not the components) is the one with the repo
To fix that add at the top of the script the following:
` from clearml import Task

Task.force_store_standalone_script()

@PipelineDecorator.pipeline(...) `That should do the trick

I think that by default the zipped package files are 0.5GB
(you can control it None look for --chunk-size)
I think the missing part of the api is understanding which chunk your specific file stored in.
You can do something like:

ds = Dataset.get(...)
the_artifact_chunk_I_need = ds.file_entries_dict["myt/file/here"].artifact_name

wdyt?
maybe worth to add an interface ?

from what I gather there is a lightly documented concept

Yes ... 😞 the reason for it is that actually one could do:
` @PipelineDecorator.pipeline(...)
def pipeline(i):
....

if name == 'main':
pipeline(0)
pipeline(1)
pipeline(2) `Basically rerunning the pipeline 3 times
This support was added as some users found a use case for it, but I think this would be a rare one

client

check here None

Well done man!

HappyDove3
see here https://github.com/allegroai/clearml-pycharm-plugin 🙂

so would that be "tags" "parents" ?