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from abc import ABC, abstractmethod
from typing import Generic, TypeVar
from torch import nn
from ...dataset.types import BatchedViews, DataShim
from ..types import Gaussians
T = TypeVar("T")
class Encoder(nn.Module, ABC, Generic[T]):
cfg: T
def __init__(self, cfg: T) -> None:
super().__init__()
self.cfg = cfg
@abstractmethod
def forward(
self,
context: BatchedViews,
deterministic: bool,
) -> Gaussians:
pass
def get_data_shim(self) -> DataShim:
"""The default shim doesn't modify the batch."""
return lambda x: x
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