leaderj1001 / lambdanetworks Goto Github PK
View Code? Open in Web Editor NEWImplementing Lambda Networks using Pytorch
License: MIT License
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ferdinandl007 yhgon wyibo85 eric-mingxiao jeshy zzg456 fengxingxiang ly54 wuxiaolianggit caoyiming0 sjjdd changlin31 yexiguafuqihao yanpengliu bhaskarbharat kepengxu dongzhang89 georgeggggg sauradip plin1112 shinypondlambdanetworks's Issues
Using BarchNorm2 Instead of softmax operation
LambdaConv Implementation
in line 44 lambda_p = F.conv3d(values, self.embedding, padding=(0, self.padding, self.padding)) in model.py
Is there any reason using conv3d?
Can it be implemented using conv2d?
Thank you.
No relative position embedding?
Hi, @leaderj1001
Thanks for your code. However, I am a little bit confused about this line
Line 48 in 3a51b6a
It seems like did not use relative position embedding when strategy is not local context. What's the meaning of this line?
Performances Issue
I have run the code as is, and for the default LambdaReset18 model
I am seeing accuracy of only 71.39% on the test dataset (which 96% on the training dataset)
Could you share the model for LambdaReset18
Wall-clock performance issues
LambdaResNet50 in comparison to a normal ResNet50 from my testing is 7x slower. I am training on ImageNet, and I am comparing your LambdaResNet50 to a torch.hub ResNet50.
Is this to be expected?
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