immich/machine-learning/app/models/base.py
Mert a2f5674bbb
refactor(ml): modularization and styling (#2835)
* basic refactor and styling

* removed batching

* module entrypoint

* removed unused imports

* model superclass,  model cache now in app state

* fixed cache dir and enforced abstract method

---------

Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2023-06-24 22:18:09 -05:00

53 lines
1.3 KiB
Python

from __future__ import annotations
from abc import abstractmethod, ABC
from pathlib import Path
from typing import Any
from ..config import get_cache_dir
from ..schemas import ModelType
class InferenceModel(ABC):
_model_type: ModelType
def __init__(
self,
model_name: str,
cache_dir: Path | None = None,
):
self.model_name = model_name
self._cache_dir = (
cache_dir
if cache_dir is not None
else get_cache_dir(model_name, self.model_type)
)
@abstractmethod
def predict(self, inputs: Any) -> Any:
...
@property
def model_type(self) -> ModelType:
return self._model_type
@property
def cache_dir(self) -> Path:
return self._cache_dir
@cache_dir.setter
def cache_dir(self, cache_dir: Path):
self._cache_dir = cache_dir
@classmethod
def from_model_type(
cls, model_type: ModelType, model_name, **model_kwargs
) -> InferenceModel:
subclasses = {
subclass._model_type: subclass for subclass in cls.__subclasses__()
}
if model_type not in subclasses:
raise ValueError(f"Unsupported model type: {model_type}")
return subclasses[model_type](model_name, **model_kwargs)