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local SoftMax, _ = torch.class('nn.SoftMax', 'nn.Module')
function SoftMax:updateOutput(input)
input.THNN.SoftMax_updateOutput(
input:cdata(),
self.output:cdata()
)
return self.output
end
function SoftMax:updateGradInput(input, gradOutput)
input.THNN.SoftMax_updateGradInput(
input:cdata(),
gradOutput:cdata(),
self.gradInput:cdata(),
self.output:cdata()
)
return self.gradInput
end
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