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40 × Eureka!@<1523701087100473344:profile|SuccessfulKoala55> in the file example here there is no reference to console_cr_flush_period
@<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?
@<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 ...
It’s running a agent without docker, we aren’t using docker
Yes, same one
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.
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)
Ok cool, I'll try that, Thanks
@<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?
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.