k1lib.knn module

Some nice utils to complement torch.nn. This is exposed automatically with:

from k1lib.imports import *
knn.Lambda # exposed
class k1lib.knn.Lambda(f: Callable[[Any], Any])[source]

Bases: torch.nn.modules.module.Module

__init__(f: Callable[[Any], Any])[source]

Creates a simple module with a specified forward() function.

forward(x)[source]

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

training: bool
class k1lib.knn.Identity[source]

Bases: k1lib.knn.Lambda

Creates a module that returns the input in forward()

training: bool