from __future__ import annotations
from abc import ABC, abstractmethod
from typing import Any, Callable, Generic
from qualia_core.learningframework.LearningFramework import LearningFramework, T
from qualia_core.typing import TYPE_CHECKING, ModelConfigDict
if TYPE_CHECKING:
from qualia_core.qualia import TrainResult # noqa: TCH001
[docs]
class PostProcessing(ABC, Generic[T]):
@abstractmethod
def __call__(self, trainresult: TrainResult, model_conf: ModelConfigDict) -> tuple[TrainResult, ModelConfigDict]:
...
[docs]
def process_name(self, name: str) -> str:
return name
[docs]
def process_framework(self, framework: LearningFramework[T]) -> LearningFramework[Any]:
return framework
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def process_mem_params(self, mem_params: int) -> Callable[[LearningFramework[T],
T], int]:
def f(_: LearningFramework[T], __: T) -> int:
return mem_params
return f
[docs]
def process_model(self, model: T, model_conf: ModelConfigDict) -> tuple[T, ModelConfigDict]:
return model, model_conf