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local VolumetricAveragePooling, parent = torch.class(
'nn.VolumetricAveragePooling', 'nn.Module')
function VolumetricAveragePooling:__init(kT, kW, kH, dT, dW, dH)
parent.__init(self)
dT = dT or kT
dW = dW or kW
dH = dH or kH
self.kT = kT
self.kH = kH
self.kW = kW
self.dT = dT
self.dW = dW
self.dH = dH
end
function VolumetricAveragePooling:updateOutput(input)
input.nn.VolumetricAveragePooling_updateOutput(self, input)
return self.output
end
function VolumetricAveragePooling:updateGradInput(input, gradOutput)
input.nn.VolumetricAveragePooling_updateGradInput(self, input, gradOutput)
return self.gradInput
end
function VolumetricAveragePooling:empty()
self.gradInput:resize()
self.gradInput:storage():resize(0)
self.output:resize()
self.output:storage():resize(0)
end
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