37 lines
1.0 KiB
Python
37 lines
1.0 KiB
Python
|
from typing import Callable, List, Optional, Tuple, TypeVar
|
||
|
|
|
||
|
|
from ..model import Model
|
||
|
|
|
||
|
|
InT = TypeVar("InT")
|
||
|
|
OutT = TypeVar("OutT")
|
||
|
|
|
||
|
|
|
||
|
|
def map_list(layer: Model[InT, OutT]) -> Model[List[InT], List[OutT]]:
|
||
|
|
"""Create a model that maps a child layer across list inputs."""
|
||
|
|
return Model("map_list", forward, layers=[layer], init=init)
|
||
|
|
|
||
|
|
|
||
|
|
def forward(
|
||
|
|
model: Model[List[InT], List[OutT]], Xs: List[InT], is_train: bool
|
||
|
|
) -> Tuple[List[OutT], Callable[[List[OutT]], List[InT]]]:
|
||
|
|
layer = model.layers[0]
|
||
|
|
Ys = []
|
||
|
|
callbacks = []
|
||
|
|
for X in Xs:
|
||
|
|
Y, get_dX = layer(X, is_train)
|
||
|
|
Ys.append(Y)
|
||
|
|
callbacks.append(get_dX)
|
||
|
|
|
||
|
|
def backprop_map_list(dYs: List[OutT]) -> List[InT]:
|
||
|
|
return [callback(dY) for callback, dY in zip(callbacks, dYs)]
|
||
|
|
|
||
|
|
return Ys, backprop_map_list
|
||
|
|
|
||
|
|
|
||
|
|
def init(
|
||
|
|
model: Model[List[InT], List[OutT]],
|
||
|
|
X: Optional[List[InT]] = None,
|
||
|
|
Y: Optional[List[OutT]] = None,
|
||
|
|
) -> None:
|
||
|
|
model.layers[0].initialize(X=X[0] if X else None, Y=Y[0] if Y else None)
|