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local AbsCriterion, parent = torch.class('nn.AbsCriterion', 'nn.Criterion')
function AbsCriterion:__init(sizeAverage)
parent.__init(self)
if sizeAverage ~= nil then
self.sizeAverage = sizeAverage
else
self.sizeAverage = true
end
end
function AbsCriterion:updateOutput(input, target)
self.output_tensor = self.output_tensor or input.new(1)
input.THNN.AbsCriterion_updateOutput(
input:cdata(),
target:cdata(),
self.output_tensor:cdata(),
self.sizeAverage
)
self.output = self.output_tensor[1]
return self.output
end
function AbsCriterion:updateGradInput(input, target)
input.THNN.AbsCriterion_updateGradInput(
input:cdata(),
target:cdata(),
self.gradInput:cdata(),
self.sizeAverage
)
return self.gradInput
end
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