its working now, thanks that was the problem.

Thanks John.

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

Yes, here is the log file.

yes it is

Just upgraded to clearml-agent==1.5.1 and I still get this error.

yes that's exactly my issue.

@<1523701087100473344:profile|SuccessfulKoala55> and @<1523701070390366208:profile|CostlyOstrich36> Ok so I found the problem but its weird,
when the agent is setting up the enviorment its installing torch=1.11.0 and not installing the one in the requirements which is torch=1.11.0+cu113,
I've checked the clearml.conf and i do have this flag set:

force_repo_requirements_txt: true

and I have a local whl of torch=1.11.0+cu113 with a path set to its location in the requirements.txt ...

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...

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

Wow, thanks a lot @<1523701070390366208:profile|CostlyOstrich36> for pointing me in the right direction. I also see that i can use sdk.development.worker.log_stdout if i really need to kill my api calls before I'll Host my own server.
BTW what does suppress_update_message do? I mean which kind of messages does it suppress?

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> 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?

Ok cool, I'll try that, Thanks

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.

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

Hi @<1523701070390366208:profile|CostlyOstrich36> , it is part of the repository, do pipelines run differently then normal tasks? what I mean is when i run a task it has a working directory do pipelines also have that or are their working directory the root of the repo?

Yes, same 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 @<1523701205467926528:profile|AgitatedDove14> ,
That solved my problem thank you, from my deep dive I've found the problem there was a package called install that changed it's name to pip-install and its requirement was setuptools .
Thanks again for the help.

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

@<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?

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?

yes sometimes I suffer from small network issues, is there a way to make clearml have a bigger timeout when installing packages?
and if not is there a way to point it to a local package for installation or a local virtual enviroment?

Hi @<1523701070390366208:profile|CostlyOstrich36> , I am using the community server, what happens if i change to a self hosting server?
I'm using Tensorboard to report everything, nothing special besides that.

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.

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

The flow is: Training.py (which creates and runs a training task) -> conversion_task.py (converts the outputs of the models into a format of our choosing) -> testing.py (testing the model after conversion).
I tried using the decorators and fucntions but they both threw me errors that i cannot do task init in side a running task.

@<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

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