partial con #39
Description
some questions about "class PartialConv2d(nn.Conv2d): "
firstly, what's the purpose of " self.mask_ratio = torch.mul(self.mask_ratio, self.update_mask)"? mabe the is the update_mask which is use for the next layer,so,why, torch.mul(self.mask_ratio, self.update_mask)
secendly, what's the purpose of "output = torch.mul(output, self.update_mask)" the next feature layer is the feature with mask?
lastly, there is no computition about filter weight matrix and X (WX).so when type "class PartialConv2d(nn.Conv2d)",the code will first jump to nn.Conv2d ？