Base Configuration#

class ablator.config.main.ConfigBase(*args, **kwargs)[source]

This class this the building block for all configuration objects within ablator. It serves as the base class for configurations such as ModelConfig, TrainConfig, OptimizerConfig, and more.

To customize configurations for specific needs, you can create your own configuration class by inheriting from ConfigBase. It’s essential to annotate it with @configclass. For instance, in the tutorial Search space for different types of optimizers and scheduler, a custom optimizer config class is created to enable ablation study on various optimizers and schedulers. You can refer to this tutorial for an example of how to create your custom configuration class.

Parameters:

*argsAny: Positional arguments.
**kwargsAny: Keyword arguments.

Raises:

ValueError: If positional arguments are provided.
KeyError: If unexpected arguments are provided.

Note

All config class must be decorated with @configclass

Examples

>>> @configclass
>>> class MyCustomConfig(ConfigBase):
...     attr1: int = 1
...     attr2: Tuple[str, int, str]

Attributes:

config_classType: The class of the configuration object.