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Hello, I Would Like To Optimize Hparams Saved In Configuration Objects. I Used Hydra And Omegaconf For Hparams Definition (See Img). How Should I Define The Name Of Hparam In
The quickest workaround would be, In your final code just do something like:my_params_for_hpo = {'key': omegaconf.key} task.connect(my_params_for_hpo, name='hpo_params') call_training_with_value(my_params_for_hpo['key'])
This will initialize the my_params_for_hpo
with the values from OmegaConf, and allow you to override them in the hyperparameyter section (task.connect is two, in manual it stores the data on the Task, in agent mode, it takes the values from the Task and puts them back to the dict)
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2 years ago
one year ago
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