Badges 19 × Eureka!
I'm using latest clearml-agent version 1.5.2.
This does not always happens, it starts happening after a few runs of successful remote executions.
Then it starts failing, until I remove and rebuild the docker image.
Attaching the clearml.conf
Thanks for the reply.
I wish to save the it in the format:
I'm trying to use clearml in an existing system and wish to adhere to their conventions
Can we do something similar with artifacts ?
I'm working on an existing code-base, the argparse are named opt instead of args, and the auto connection doesn't work.
I want to connect the argparse manually and load the connected argparse If I'm running on a remote machine.
At the end of the training I have only input models.
How do I change an InputModel into outputModel ?
- Thank you, I will give it a try. I debugged the code to investigate the cause of the failure. It appears that the code fails at line 1312 inside Dataset.create during the execution of the instance._serialize() function. I will further explore the code to identify the precise point of failure.