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local SoftMarginCriterion, parent = torch.class('nn.SoftMarginCriterion', 'nn.Criterion')
function SoftMarginCriterion:__init()
parent.__init(self)
self.sizeAverage = true
end
function SoftMarginCriterion:updateOutput(input, target)
self.output_tensor = self.output_tensor or input.new(1)
input.THNN.SoftMarginCriterion_updateOutput(
input:cdata(), target:cdata(),
self.output_tensor:cdata(),
self.sizeAverage)
self.output = self.output_tensor[1]
return self.output
end
function SoftMarginCriterion:updateGradInput(input, target)
input.THNN.SoftMarginCriterion_updateGradInput(
input:cdata(), target:cdata(),
self.gradInput:cdata(),
self.sizeAverage)
return self.gradInput
end
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