Just like in the git repo.

I do not have a global cuda install on this machine. Everything except for the driver is installed via conda.

How can I see that?
I have venv_update.enabled: true and detect_with_conda_freeze: true

Or maybe even better: How can I get all the information of the "INFO" page in the WebUI of a task?

I mean that locally I was able to install the correct version without a problem.

I forgot to add this:
` Here is my error:

Traceback (most recent call last):
File "src/run_gym.py", line 25, in <module>
print(os.environ["MUJOCO_GL"])
File "/home/tim/.clearml/venvs-builds/3.7/lib/python3.7/os.py", line 681, in getitem
raise KeyError(key) from None
KeyError: 'MUJOCO_GL' `
This is at the top of my script.

fyi: NVIDIA-SMI 460.56 Driver Version: 460.56 CUDA Version: 11.2

Thank you. The reports feature is super cool! Greetings to the team. One of the best features for educational use!

Thank you very much. I am going to try that.

conda 4.9.2

Can you give me an example how I can add a second fileserver?

Perfect, will try it. fyi: The conda_channels that I used are from clearml-agent init

And then also use priority_optional_packages: ["carla"]

For now I can tell you that with conda_freeze: true it fails, but with conda_freeze: false it works!

Thanks, that makes sense. Can you also explain what task_log_buffer_capacity does?

AgitatedDove14

Ah, thanks a lot. So for example the CleanUp Service ( https://github.com/allegroai/clearml/blob/master/examples/services/cleanup/cleanup_service.py ) should have no troubles deleting the artifacts.

Yea, that I knew 😄 But somehow I didn't think about the clearml.conf

I got some warnings about broken packages. I cleaned the conda cache with conda clean -a ` and now it installed fine!

For me this does not work (at least with nested tqdm bars, did not try single ones yet).

latest for everything.

Okay, great! I just want to run the cleanup services, however I am running into ssh issues so I wanted to restart it to try to debug.

This is the venc

Maybe related question: Will there be some documentation about clearml internals with the new documentation? ClearML seems to store stuff that's relevant to script execution outside of clearml.Task if I am not mistaken. I would like to learn a little bit about what the code structure / internal mechanism is.

Full log

Okay, thank you 🙂

What exactly does this mean? The environment is set after the script is started?

Or maybe a different question: What is not

Artifacts and Models. debug samples (or anything else the Logger class creates)

?

Also it is not possible to use multiple files server? E.g. log tasks on different S3 buckets without changing clearml.conf

Thank you very much, good to know!

But it is not possible to aggregate scalars, right? Like taking the mean, median or max of the scalars of multiple experiments.