torchrl.trainers.algorithms.configs.checkpoint.CheckpointConfig#
- class torchrl.trainers.algorithms.configs.checkpoint.CheckpointConfig(format: str = 'directory', strict: str = 'error', archive_compression: str = 'stored', save_components: list[str] | None = None, _target_: str = 'torchrl.checkpoint.Checkpoint')[source]#
Hydra configuration for
Checkpoint.Every kwarg accepted by
Checkpoint.__init__is exposed as a field here. Components are registered by the trainer that receives the checkpoint.See also