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titu1994 avatar titu1994 commented on July 29, 2024

I believe they are equivalent because 1) the model built using B) has the exact same number of parameters as that with C). C) is a a more succinct implementation, bit acheives the same thing.

However, if one tries to port weights from the torch code to Keras, they would find the lambda layer would fit, whereas this would not. I will look into, and update my code to match the lambda layer version when possible, as weight translation would be easier.

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pGit1 avatar pGit1 commented on July 29, 2024

Interesting thank you so much! Just making sure I understand all this code that is going on. It seems the lambda layer is indeed doing what item c in fig 3 is displaying. Awesome to be on the right track! Thanks again!

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gabriel19852005 avatar gabriel19852005 commented on July 29, 2024

just find this page: microsoft/MMdnn#58, may help with the weights convertion.

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