Comments (4)
dagshub
commented on June 16, 2024
Join the discussion on DagsHub!
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oferbaratz
commented on June 16, 2024
Hey @Daming-TF
Thanks for the issue, we are opening a bug and it will be fixed soon.
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lkdci
commented on June 16, 2024
Hi @Daming-TF , there are some Squeeze & Excite versions which uses Conv op insteaf of Linear.
Conv and Linear are equivalent when applied upon an input tensor with only one neuron per channels, which is the output after the Global average pooling operator. (BxCx1x1 or simply BxC).
In both cases the layers num MAC is represented by Cin x Cout.
There are indeed some hardware accelerators which prefer the Convolution instead of the fully connected one, so in some cases the convolution operation might run faster.
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Daming-TF
commented on June 16, 2024
Hello@lkdci oh that's true😄, thanks I got it
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