Hydra | Hydra
https://hydra.ccPowerful configuration. With Hydra, you can compose your configuration dynamically, enabling you to easily get the perfect configuration for each run. You can override everything from the command line, which makes experimentation fast, and removes the need to maintain multiple similar configuration files.
python 3.x - Stack Overflow
https://stackoverflow.com/questions/6067401213.03.2020 · db: driver: mysql user: omry pass: secret. Python file: my_app.py. import hydra @hydra.main (config_path="config.yaml") def my_app (cfg): print (cfg.pretty ()) if __name__ == "__main__": my_app () This works well when we can use a decorator on the function my_app. Now I would like (for small scripts and testing purposes, but that is not ...
Getting started | Hydra
hydra.cc › docs › introThe key feature is the ability to dynamically create a hierarchical configuration by composition and override it through config files and the command line. The name Hydra comes from its ability to run multiple similar jobs - much like a Hydra with multiple heads. Key features:# Hierarchical configuration composable from multiple sources
Using the config object | Hydra - Hydra | Hydra
hydra.cc › docs › nextUsing the config object. Here are some basic features of the Hydra Configuration Object: node: loompa: 10 zippity: ${node.loompa} do: "oompa $ {node.loompa}" waldo: ??? Hydra's configuration object is an instance of OmegaConf's DictConfig. You can learn more about OmegaConf here.
Structured Config schema | Hydra
hydra.cc › docs › tutorialsWe will add Structured Config schema for each of the config files above and store in the Config Store as base_config, db/base_mysql and db/base_postgresql. Then, we will use the Defaults List in each config to specify its base config as follows: One difference in the source code is that we have removed the Defaults List from the Config dataclass.