The Average layer about deeplift HOT 1 OPEN

Hello, I'm sorry I never responded to this issue - 2017 was a tough year for me personally. I'm coming across it now as I'm looking over old issues that I missed. It is true that the deeplift implementation doesn't support this layer, mostly because there have since been subsequent implementations of the DeepLIFT method (e.g. DeepSHAP, DeepExplain, PyTorch Captum) that can handle more flexible architectures (the downside of these flexible implementations is that they do not support the RevealCancel rule). For anyone coming across this issue via google search, there is a section in the FAQ about these alternative implementations: https://github.com/kundajelab/deeplift#my-model-architecture-is-not-supported-by-this-deeplift-implementation-what-should-i-do

I probably don't have bandwidth to keep adding features to the core deeplift code base as I've actually switched fields to work in Earth System Science - however, if someone is very keen to use the RevealCancel rule but their particular architecture is not supported in this codebase, I would be happy to provide guidance on how to add the required layer to this codebase.

from deeplift.