But the git apply failed, the error message is the "xxx already exists in working directory" (xxx is the name of the untracked file)

DefeatedOstrich93 what's the clearml-agent version?

HarebrainedBear62 this is what I have.
clearml-data will store all the files for you, and version the entire thing, make is a breeze to abstract the dataset from the code. Querying data is available using Apache Drill (though currently it is still not built into the platform, but we are planning to get there soon) Since this is Image based data/meta-data, I know the paid tier of ClearML, has n additional dedicated data management solution specifically for images, with full ability to query m...

I see, let me check something 🙂

Hi HarebrainedBear62
What's the type of data ?

They could, the problem by the time you set them,they have been read into the variables.
Maybe we should make it lazy loaded, it will also speedup the import.

others from the local environment and this causes a conflict when importing the attr module

Inside the docker ? " local environment" ?
This is all under "root" no?

ResponsiveCamel97
BTW: any reason not to allow this flexibility ?

Not really sure that's easily done ... I mean you could query the data, but I'm not sure how you would import it. Btw why would you move from pro to self hosted?

I think the ClearmlLogger is kind of deprecated ...
Basically all you need is Task.init at the beginning , the default tensorboard logger will be caught by clearml

I prepared my own image and want use this venv

No worries, it creates a "transparent" venv, it uses everything from the docker (the penalty of create a new venv is negligible 🙂 , you end up with the exact same set of packages)

Thanks LethalCentipede31 , i think (3) is the most stable solution (as it doesn't require to add another package, and should work on any python version / OS)
This is actually what we do for downloads .
DO you know if there is a minimum required python requests version ?

Any reason not to ?

i.e. you can:
curl

Everything seems correct...
Let's try to set it manually.
create a file ~/trains.conf , then copy paste the credentials section from the UI, it should look something like:
api { web_server: http:127.0.0.1:8080 api_server: http:127.0.0.1:8008 files_server: http:127.0.0.1:8081 credentials { "access_key" = "access" "secret_key" = "secret" } }Let's see if that works

try: trains-init config

And the server itself? is it http or https ?

Are the key/secret the one you see in the UI?

No that's okay

Just making sure, the machine that you were running the "trains-init" on can access the API server ?

if it ain't broke, don't fix it

😄

Up to you, just a few features & nicer UI.
BTW: everything is backwards compatible, there is no need to change anything all the previous trains/trains-agent packages will work without changing anything 🙂
(This even includes the configuration file, so you can keep the current ~/trains.conf and work with whatever combination you like of trains/clearml on the same machine)

Same machine running the trains-init ?

Woot woot!

Hi @<1546303293918023680:profile|MiniatureRobin9>

Im not sure to understand the difference between a worker and an agent.

hmm we should probably make that clearer 🙂
agent = the clearml-agent instance running on the machine
worker is the system term representing the instance of the agent
You can have one machine with multiple agents (i.e. multiple workers) running on it.
Does that make sense ?

Thanks @<1523704157695905792:profile|VivaciousBadger56> ! great work on the docstring, I also really like the extended example. Let me make sure someone merges it

In the documentation it warns about

.close()

"Only call Task.close if you are certain the Task is not needed."

Maybe this is not clear enough, this means you do not need to automatically Add/Log/Track things into the Task in the current process.
This does Not mean you cannot access the Task or its artifacts

Mark closed means to externally (i..e not from the process that crated the Task, maybe even from a different machine) close and mark the task as completed (this...

Notice that you can embed links to specific view of an experiment, by copying the full address bar when viewing it.

Hi @<1573119962950668288:profile|ObliviousSealion5>

Hello, I don't really like the idea of providing my own github credentials to the ClearML agent. We have a local ClearML deployment.

if you own the agent, that should not be an issue,, no?

forward my SSH credentials using

ssh -A

and then starting the clearml agent?

When you are running the agent and you force git clonening with SSH, it will autmatically map the .ssh into the container for the git to use

Ba...

owning the agent helps, but still it's much better if the credentials don't show up in logs,

They are not, they are always filtered out,

• how does force_git_ssh_protocol help please? it doesn't solve the issue of the agent simply not having accessIt automatically maps the host .ssh into the container, so that git can use SSH to clone.
  What exactly is not working?
  and how are you configuring it?

Hi @<1572395184505753600:profile|GleamingSeagull15>

Is there an official place to report bugs and add feature requests for the app.clear.ml website?

GitHub issues is usually the place, or the

Assuming GitHub, but just making sure you don't have another PM tool you'd rather use.

Really appreciate asking! it is always hard to keep track 🙏

Thank you so much @<1572395184505753600:profile|GleamingSeagull15> !

looks like your

faq.clear.ml

site is missing from your main sites sitemap files,

Thank you for noticing! I'll check with the webdevs

Also missing the

robots

meta tag on that site,

🙏

Last tip is to add a link on the

faq.clear.ml

site back to

clear.ml

for search index relevancy ( connects the two sites as being related in content...