Web如果您想按原样加载以前的配置,而不想更改它,请使用 OmegaConf.load (file_path) 。 如果您想要重新组合配置 (听起来像是这样,因为您添加了希望覆盖的内容),我建议您使用Compose API并从作业输出目录 (存储的config.yaml旁边)中的覆盖文件传递参数,但要连接当前的运行参数。 这个脚本似乎正在做这项工作: Web(PPOModelConfig, EnvConfig) ... for config_field in dataclasses.fields(config_cls)] >>> Config = dataclasses.make_dataclass(cls_name="Config", fields=config_fields) >>> cs = ConfigStore.instance() >>> cs.store(name="config", node=Config) >>> with initialize(config_path=None): >>> cfg = compose(config_name="config") >>> actor_value …
pytorch-classification/train.py at master - Github
The single idea here is that @hydra.main looks for a config in the ConfigStore instance, cs named "mnistconf". It finds the MNISTConf (our top level conf) we registered to that name and populates cfg inside main() with the fully expanded structured config. This includes our optimizer and scheduler … See more For clarity, as we modify the PyTorch MNIST example, we will make the diffs explicit. Most of the changes we introduce will be at the top of the file within the commented ##### HYDRA BLOCK #####, though in … See more In this tutorial, we demonstrated the path of least resistance to configuring your existing PyTorch code with Hydra. The main benefits we get from the 'Basic' level are: 1. No more … See more Now that we've defined all of our configs, we just need to let Hydra create our cfg object at runtime and make sure the cfgis plumbed to any … See more That's it. Since the @hydra.main decorator is above def main(cfg), Hydra will manage the command line, logging, and saving outputs to a … See more WebController PID pid ConfigStore cs [ legend] Detailed Description Base class for a controller. Owns a PID instance, and holds a reference to a ConfigStore instance. Definition at line 11 of file Controller.h. Constructor & Destructor Documentation Controller () Constructor. Parameters Definition at line 3 of file Controller.cpp. phil harvey net worth 2021
fairseq/__init__.py at main · facebookresearch/fairseq · GitHub
Web[docs] def register_optimizer_configs() -> None: cs = ConfigStore.instance() cs.store( group="optimizer", name="adam", node=AdamConf, ) cs.store( group="optimizer", name="sgd", node=SGDConf, ) cs.store( group="optimizer", name="adahessian", node=AdahessianConf, ) cs.store( group="optimizer", name="bfgs", node=BFGSConf, ) … Webfrom torchcls.configs.train_config import AugmentationConfig, Config from torchcls.training import train cs = ConfigStore.instance () cs.store (name="config", node=Config) # Create augmentation methods # TODO February 21, 2024: Improve this aug: AugmentationConfig = AugmentationConfig () aug.transforms_train = augmentation.get_transforms_aug Webdef import_models(models_dir, namespace): for file in os.listdir(models_dir): path = os.path.join(models_dir, file) if ( not file.startswith("_") and not file.startswith(".") and (file.endswith(".py") or os.path.isdir(path)) ): model_name = file[: file.find(".py")] if file.endswith(".py") else file importlib.import_module(namespace + "." phil harvey manager wikipedia