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Hey Everyone! I’M Currently Trying To Set Up Hyperparameter Optimization With Clearml On A Base Experiment Using Hydra. I Got Everything Working From The Examples. However, The Child Experiments Started By The Optimization Don’T Seem To Actually Get The N


CostlyOstrich36
I’m fully confident at this point that changing parameters on Hydra experiments doesn’t work with clearML. Thus I have reverted to converting Hydra hparams to normal hparams
` @hydra.main(config_path="conf", config_name="config")
def main(config: DictConfig):

task = Task.init(
    config.logging.trackerParams.project,
    config.logging.trackerParams.experimentName,
)

config = task.connect(OmegaConf.to_container(config)) `which seems to work.

All of this being said, I’d very much like Hydra + HPO to work as intended. So I am thinking should I escalate this to an issue on Github and provide a minimal example?

  
  
Posted 2 years ago
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0 Answers
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