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local PReLU, parent = torch.class('nn.NG','nn.Module') | |
function PReLU:__init(nOutputPlane) | |
parent.__init(self) | |
-- if no argument provided, use shared model (weight is scalar) | |
self.nOutputPlane = nOutputPlane or 0 | |
self.weight = torch.Tensor(nOutputPlane or 1):fill(0) | |
self.gradWeight = torch.Tensor(nOutputPlane or 1) | |
self.buf = torch.Tensor() | |
self.buf2 = torch.Tensor() | |
end | |
function PReLU:updateOutput(input) | |
self.buf:resizeAs(input):copy(self.weight:view(1,self.nOutputPlane,1,1):expandAs(input)) | |
self.output:resizeAs(input):copy(input) | |
self.output:cmax(self.buf) | |
return self.output | |
end | |
function PReLU:updateGradInput(input, gradOutput) | |
if self.gradInput then | |
self.gradInput:resizeAs(input):copy(gradOutput) | |
self.gradInput[torch.lt(input,self.buf)]=0 | |
return self.gradInput | |
end | |
end | |
function PReLU:accGradParameters(input, gradOutput, scale) | |
self.buf2:resizeAs(input):copy(gradOutput) | |
self.buf2[torch.gt(input,self.buf)]=0 | |
self.gradWeight:add(torch.mul(torch.sum(torch.sum(torch.sum(self.buf2,1),3),4):view(self.nOutputPlane),scale or 1)) | |
return self.gradWeight | |
end |
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