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from abc import ABC, abstractmethod
from typing import Generic, TypeVar
from jaxtyping import Float
from torch import Tensor, nn
from src.dataset.types import BatchedViews
T = TypeVar("T")
class Backbone(nn.Module, ABC, Generic[T]):
cfg: T
def __init__(self, cfg: T) -> None:
super().__init__()
self.cfg = cfg
@abstractmethod
def forward(
self,
context: BatchedViews,
) -> Float[Tensor, "batch view d_out height width"]:
pass
@property
@abstractmethod
def d_out(self) -> int:
pass
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