LAP/torchlap/models/celeba/org_resnet.py

from collections import OrderedDict
from typing import Dict
import typing

import torch

from ..tv_resnet import BasicBlock, ResNet


class CelebAORGResNet18(ResNet):

    def __init__(self, tag: str):
        super().__init__(BasicBlock, [2, 2, 2, 2], binary=True)
        self._tag = tag

    @property
    def additional_kwargs(self) -> typing.OrderedDict[str, bool]:
        r""" Returns a dictionary from additional `kwargs` names to their optionality """
        return OrderedDict({
            f'{self._tag}': True,
        })

    def forward(self, x: torch.Tensor, **gts: torch.Tensor) -> Dict[str, torch.Tensor]:
        y = gts[f'{self._tag}']
        return super().forward(x, y)