I reviewed this example and sadly there isn't anything about how to upload a path as a string only.

yep, just a string which is a path but not to upload the folder

Btw in pipelines is there a way to get the pipelines main task id? for example <step_name>.id gets me the stages id but I need the main pipeline that's running all the tasks

not sure what that means to be honest @<1523701070390366208:profile|CostlyOstrich36>

@<1523701070390366208:profile|CostlyOstrich36> After discussing with my TL, we think the plan we are subscribed to might not be for us, can you point me to a person who we can have a meeting with and advice us the best plan for my team?

Ok cool, I'll try that, Thanks

Also looked at it but its only supported registered artifact object type is a pandas.DataFrame and not strings.
I think I'll keep it with ':' in the start of the string and that way it won't upload the folder

Solved it by doing clearml.Task.current_task().id but thank you

Hi @<1523701070390366208:profile|CostlyOstrich36> , Here is a better explanation of my situation, in my IDE the working directory is where my code starts and I'm importing from common_utils my custom augmentations and locally the code is working with the import I've added in my previous message, however when i run from ClearML agent the import from point a to point b isn't working however they are both in the same git repo and i don't want to copy the files into project_1 as to not have unne...

Yes it does, thank you @<1523701070390366208:profile|CostlyOstrich36>

Yes, here is the log file.

Thanks I'll look into that, but in the end we decided to add a private repo with the pytorch libraries that we need.
I've added the extra_index_url to point to our https and we changed to requirements.txt to look for that https however I'm getting this that warning I've attached and its still trying to download the packages not from my path.
how do i enable clearml-agent to look for private repos?

No, until now we used the default server that is handled by Clearml and we want to transfer to a self hosted one

@<1523701070390366208:profile|CostlyOstrich36> my repo is like this and both the files are located at the same dir so its weird that they cannot find train:

.
├── pytorch
├── tensorflow
│   ├── Project A
│   │   └── src
│   ├── Project B
│   │   ├── data
│   │   ├── model
│   │   ├── reports
│   │   └── utils
│   ├── hand_validator_boxes
│   │   ├── src
│   │   ├── train.py (the module i need)
│   │   └── clearml_pipeline.py (where the pipeline is initilizied
└── utils

Hi @<1523701070390366208:profile|CostlyOstrich36> ,
but how do I configure this if I'm not hosting the clearml server?
where can i find the services.conf file?

Yes, same one

@<1523701087100473344:profile|SuccessfulKoala55> did i do something wrong?

Thanks @<1523701070390366208:profile|CostlyOstrich36> , but doesn’t the agent create/caches an environment from the requirements.txt when running? I’m reproducing an old project that used to work like that, and also my ClearML.conf set to work that way

yes it is

@<1523701087100473344:profile|SuccessfulKoala55> After going into the steps full details I reset the step and enqueued it

@<1523701087100473344:profile|SuccessfulKoala55> But when i use this setting it the packages download only from the torch repo and not a local repo correct? or does it use the url-extra-link? and is there a way to cancel the auto cuda detect?

@<1523701087100473344:profile|SuccessfulKoala55> and @<1523701070390366208:profile|CostlyOstrich36> , in the end I've found the problem, it was due to me running the pipeline locally and when running the pipeline locally it, doesn't copy all the dir but only the script that is running None

Oh so in that case I'll need to change every agent's pip config file.

It’s running a agent without docker, we aren’t using docker

Thanks John, I read the one about the pip timeout, the problem is that I'm assume clearml runs the following command :
"pip install -r requirments.txt" and I want to know if I make clearml add the timeout flag.

And I'm looking at None as an example of a clearml.conf file and i can't seem to find sdk.development.worker.console_cr_flush_period this flag.

when i tried doing with the decorators it threw me an error that it cannot run task init in side a working task (the pipe lines task)

@<1523701087100473344:profile|SuccessfulKoala55> What I'm trying to do is connect 3 different tasks into 1 pipeline but still being able to run each task as an individual when needed but without changing the tasks code. for example i have a training.py file which runs task.init in the start and creates a task in the server for training a new model, but i want also to create a pipeline that will run that training.py and other tasks together, is that more clear now?

@<1523701087100473344:profile|SuccessfulKoala55> in the file example here there is no reference to console_cr_flush_period

@<1523701087100473344:profile|SuccessfulKoala55> yes the working dir is set to the correct path and yet it cannot import the train module