LAP/torchlap/experiments/imagenet/lap_resnet50_nft.py

from typing import Tuple

from torchlap.configs.imagenet_configs import ImagenetConfigs
from ...models.model import Model
from ..entrypoint import BaseEntrypoint
from ...models.imagenet.lap_resnet import ImagenetLAPResNet50


class EntryPoint(BaseEntrypoint):
    
    def _get_conf_model(self) -> Tuple[ImagenetConfigs, Model]:
        config = ImagenetConfigs('ImagenetNFT', 1, 224, self.phase_type)
        model = ImagenetLAPResNet50(sigmoid_scale=0.1)
        config.freezing_regexes = [
            r'(?!^.*\.pool\..*$)(^.*$)'
        ]
        return config, model