Run a remote task with trains agent that would create inside another task that would again run remotely as well and check the permissions of the second task created file?

Great! Thanks 🙂

Quite hard for me to check locally, could you check it using trans-agent?

But maybe only one step in the dag is flawed and I want to continue the rest of the pipeline as usual (despite the branch of the flawed task).
I am not sure what you mean by automatic stopping flows, could you give an example?

I aborted the task because of a bug on my side

For me

Could it be because it's running from a draft on an agent?

I understand how this is problematic. This might require more thinking if you guys wish to support this.

Changing the mountpoint for the agent is not possible

Thanks

Will do 🙂

I bet it has something to do with the server or DB, any clue?

Nevermind, you can find it in the apiserver.conf

Also, why there is a project id where there is a project name that exists? I don't even know how to display a project's id haha

Obviously I am working with my trains-server, as I can see the new pipeline task under the new project 😮

(The one that was created with initial task)

Will try, thanks

Oh, that seems right, how can I get the project id of the newly created project?

great, will try this

trains ( 0.16.1-320 )

I think so. The issue is that I want to report only a sub set of the images (for example I create an image for every sample in the dataset but I want to display on trains only the top 10 with highest score) but when it's magically logged I have no control over this. What can be done?

That should do the trick, thanks 🙂

Is there a way to set this via a config file? like the docker compose yml?

how could I configure this in the docker compose?
Edit: the trains-agent points to a different trains.conf config as I wis., I want the dev environment to point to a different location trains.conf as well

My root folder is applicable to my user only. I wish to use a shared trains.conf file, so the trains_config_file can't point to ~/trains.conf sadly

I do this:
` base_task = Task.create(project_name=self.regression_project_name,
task_name=BASE_TASKS[block_type][engine], task_type=task_type)
params = base_task.export_task()

Git repo

params['script']['repository'] = subprocess.check_output(['git', 'config', '--get', 'remote.origin.url'],
cwd=REPO_NAME).decode().strip()

Git commit

params['script']['version_num'] = subprocess.check_output(['git', 'rev-parse',...

I'll do as Jake says. Thanks :)

Thanks

Okay so in the end I've run it locally and it behaved as expected (no auto logging for matplotlib) but for trains agent it didn't work, it auto - logged it anyway. TimelyPenguin76

So what can I do?