TimelyPenguin76 it didn't help 😞

otherwise if you empty the installed packages and the requirements.txt is in one of the parents folder of the files that ran trains should detect it automatically

in /tmp/.trainsagent_5031_f4iwisna.tmp
For example

I am not sure what you mean by verifying the API.

Well, I do exactly that but it still puts them under plots

great, will try this

The file content by the way contained only the worker's name

trains ( 0.16.1-320 )

Logger.current_logger().report_media(title=f"visualization images f{output_category}", series=output_path.split('.')[-2].split('/')[-1], iteration=1, local_path=output_path)

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?

I've investigated it some more, It isn't path related as far as I can tell, as these same paths worked 2 weeks ago and a normal path doesn't work now

I think I know what happens TimelyPenguin76
Could it be that trains automatically logs these images to plots?
Because when I removed the report_media/report_image the images were still logged into plots

By the way, what about enabling closing workers from the UI? 🙂

This is the path:
/Remote/moshe/Experiments/trains_bs_pipe_new/ypi/OKAY/Try_That/baseline/evaluation_validation/results/images/bottom_scores/0.0_slot02_extracted_23_01__1035__1.png

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

How can I tell what's the temp folder path?

it uses the api credentials generated by the trains dashboard

That should do the trick, thanks 🙂

I've sorted this out. All I needed was to add them to a queue so they would be visible.

yes

Let me check this out

No, the task it was cloned from was created with Task.create, but there is a Task.init in the file that is run by Task.create

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

Matplotlib

Something else, If I want to designate only some of the GPUs of a worker, how can I do that?

You can try copying all the contents of requirements.txt to the installed packages tab in the trains dashboard of your experiment (in the UI)

Hey, I've gotten this message:
TRAINS Task: overwriting (reusing) task id=24ac52461b2d4cfa9e672d9cd817962c
And I'm not sure why it's reusing the task instead of creating a new task id, the configuration was different although the same python file run. Have you got any idea?

Nevermind, you can find it in the apiserver.conf

Since my servers have a shared file system, the init process tells me that the configuration file already exists. Can I tell it to place it in another location? GrumpyPenguin23

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