Anyways no histogram / table is reported in dashboard however in tutorial video @ https://www.youtube.com/watch?v=quSGXvuK1IM it is.

OPENBLAS="$(brew --prefix openblas)" pip install pandas

command i run:
learml-agent daemon --queue default --foreground
response i get:
clearml_agent: ERROR: create.<locals>.Validator.__init__() got an unexpected keyword argument 'types'

clearml agent version: 1.3.0

reinstalling realy solved the problem , thank you. Have a very nice day.

i can try , any guide online ? or is it totaly easy

Insight 2 <- repository is cloned correctly but the uncomitted changes are not.

http://dl.fbaipublicfiles.com/detectron2/wheels/cu113/torch1.10/detectron2-0.6%2Bcu113-cp39-cp39-linux_x86_64.whl why this doesnt work then ?

I sent details (logs, config) into private message.

Thanks! It is working.

Is the solution simply to change the binary_path in config and restart the worker or just use docker mode ? Cant i just forward this path ?

To describe the use-case. Lets say we have someapp which can export specific training script. I would like to create this as a specific "draft" task and later execute it.

Hello ! I would like to just skip whole clearML process (e.g. someone do not wants to log everything for this time). The problem I have is that if you do not provide task name and project name <- it should skip clearml process. However, when the task is cloned also project name and task name are whole Task is None before task init. I am asking if there is any way to know we are running a clone before task.init after we call task = Task.current_task()

Probably i figured out everything. For me it is better to work with https and token (for git).

Hello ExasperatedCrab78 ! I tried to add the PR. I hope it will be sufficient and clear. Have a nice day and thanks for help ! :)

Hi ExasperatedCrab78 ,
am I getting it right that alias = dataset id which can be found in the clearml dashboard?

I also tried the changed url (github) you sent. I can successfully run all the scripts, but I do not see any results from log_dataset_statistics . Maybe I am wrong but in the https://github.com/allegroai/clearml-blogs/blob/master/urbansounds8k/preprocessing.py this function is not even called. Could you help me with that please? I just want to replicate -> clearml dashboa...

Oh thanks ! 🙂 I understand now. Please let me know about the other problem.

The agent simply try to install requirements from requirements.txt , however i dont want to do that because i have my docker image ready.

I understand what you mean. I am just describing different case. Lets assume i have my docker image already (all dependencies , data solved). Right now I run my task and it automatically looks for requirements.txt file in the repository. My question is -> is there any way to avoid this (simplest solution for now will be to -> rename requirements.txt to different filename)? I tried the things you sent already. The thing is that in requirements.txt in this repos can not be installed that easily...

For future you can put in requirements.txt :
detectron @

Hello , I passed following variables to the agent followingly: CLEARML_AGENT_SKIP_PIP_VENV_INSTALL=1 CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL=1 clearml-agent daemon --queue "default" --foreground and it works perfectly ! Thanks for advise.

isnt brew for mac ? i am on ubuntu

Hi @<1523701070390366208:profile|CostlyOstrich36> , the worker cloned the repo correctly, however in the nested scipt if you use task.init it wont work / wont overwrite anything.

I went into app.clear.ml dashboard -> project -> archived experiments -> and i wanted to delete experiment from there -> that is the output i got

Server: 3.13.0-832. I just waited for some time and suddenly it was possible to delete it again. Idk what was that issue. No matter what , if it will appear again I can announce you.

Do I have to do some port forwarding / add extra parameters ? Copy clearml.conf inside of the docker ? And all the stuff ? Because it does not seems to be done automatically.

So, I just just define all the requirements for the docker in clearml.conf in default_docker part?

I can see the docker in docker ps but it seems like it never gets to code execution. I do not have an idea where it got from. Seems like somewhere it gets "pip" + "pip".

I'm at the point where it looks like the clearml-agent is stuck (How i execute the agent: clearml-agent daemon --queue "default" --gpus 0 --foreground --docker. After the last message: " Successfully installed:<dependencies>" nothing really happens. I do attach logs from experiment. And I also do provide the config: