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Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

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Hi everyone, I am struggling when loading this model saved in .h5 file. How is the correct way to load this network? If I use custom_objects I get `init() got...

I used resnet50, and change C4 layer into LambaBottleNeck; but why flops so high about 20G and input size is 224*244; is that right, or something wrong about my inplementation.

Would it be possible for you to also provide a 1D version of the layer to be used for time-series classification / regression? Thanks!

so Phil - I love your work - I wish you could go extra few steps to help out users. I found this class by François-Guillaume @frgfm - which adds...

Are non-square image blocks allowed for context? Using global context and a non-square dimensions (96, 128), I get an error on this line about dimension size. `λp = einsum('n m...

Why the positional encoding is random?

I have been looking around and found [one implementation of LambdaResNets](https://github.com/leaderj1001/LambdaNetworks), although there seem to be some metric performance problems and I've found wall-clock performance problems (runs ~7x slower than...

are there any examples or implementations of a full nework that we can try out? such as one of the lambda-resnets or even lambda-mask-rcnn etc?

Hi, @lucidrains , Thanks you a lot for releasing the prototype so quickly. How large memory is required for the experiment? THX!