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local SpatialAveragePooling, parent = torch.class('nn.SpatialAveragePooling', 'nn.Module')
function SpatialAveragePooling:__init(kW, kH, dW, dH)
parent.__init(self)
self.kW = kW
self.kH = kH
self.dW = dW or 1
self.dH = dH or 1
self.divide = true
end
function SpatialAveragePooling:updateOutput(input)
input.nn.SpatialAveragePooling_updateOutput(self, input)
-- for backward compatibility with saved models
-- which are not supposed to have "divide" field
if not self.divide then
self.output:mul(self.kW*self.kH)
end
return self.output
end
function SpatialAveragePooling:updateGradInput(input, gradOutput)
if self.gradInput then
input.nn.SpatialAveragePooling_updateGradInput(self, input, gradOutput)
-- for backward compatibility
if not self.divide then
self.gradInput:mul(self.kW*self.kH)
end
return self.gradInput
end
end
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