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local SoftShrink, parent = torch.class('nn.SoftShrink', 'nn.Module')

function SoftShrink:__init(lam)

parent.__init(self)

self.lambda = lam or 0.5

end

function SoftShrink:updateOutput(input)

input.nn.SoftShrink_updateOutput(self, input)

return self.output

end

function SoftShrink:updateGradInput(input, gradOutput)

input.nn.SoftShrink_updateGradInput(self, input, gradOutput)

return self.gradInput

end

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