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why batchnormalization after qkv transform? #33

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lkqnaruto opened this issue Sep 27, 2021 · 0 comments

lkqnaruto commented Sep 27, 2021

I wonder why batchnormalization after qkv transform? is it because of the covariate shift issue?

axial-deeplab/lib/models/axialnet.py

Lines 31 to 34 in 79088ed

    
           self.qkv_transform = qkv_transform(in_planes, out_planes * 2, kernel_size=1, stride=1, 
        
                                              padding=0, bias=False) 
        
           self.bn_qkv = nn.BatchNorm1d(out_planes * 2) 
        
           self.bn_similarity = nn.BatchNorm2d(groups * 3)

How does batchnorm2D work for calculating the similarity score? It really confused me.

Thanks

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