mode

Sparse attention mode descriptor for ModelOpt.

Classes

SparseAttentionModeDescriptor

Mode descriptor for sparse attention optimization.

class SparseAttentionModeDescriptor

Bases: ModeDescriptor

Mode descriptor for sparse attention optimization.

This mode enables various sparse attention methods to reduce computational complexity and memory usage in transformer models.

property config_class: type[ModeloptBaseConfig]

Specifies the config class for the mode.

property convert: Callable[[Module, ModeloptBaseConfig], tuple[Module, dict[str, Any]]] | Callable[[Module, ModeloptBaseConfig, Any], tuple[Module, dict[str, Any]]]

The mode’s entrypoint for converting a model.

property name: str

Returns the value (str representation) of the mode.

property restore: Callable[[Module, ModeloptBaseConfig, dict[str, Any]], Module]

The mode’s entrypoint for restoring a model.

property search_algorithm: type[BaseSearcher]

Specifies the search algorithm for the mode.

property update_for_new_mode: Callable[[Module, ModeloptBaseConfig, dict[str, Any]], None]

The mode’s entrypoint for updating the model’s state before new mode.

property update_for_save: Callable[[Module, ModeloptBaseConfig, dict[str, Any]], None]

The mode’s entrypoint for updating the model’s state before saving.