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local SpatialAdaptiveMaxPooling, parent = torch.class('nn.SpatialAdaptiveMaxPooling', 'nn.Module')
function SpatialAdaptiveMaxPooling:__init(W, H)
parent.__init(self)
self.W = W
self.H = H
self.indices = torch.Tensor()
end
function SpatialAdaptiveMaxPooling:updateOutput(input)
input.nn.SpatialAdaptiveMaxPooling_updateOutput(self, input)
return self.output
end
function SpatialAdaptiveMaxPooling:updateGradInput(input, gradOutput)
input.nn.SpatialAdaptiveMaxPooling_updateGradInput(self, input, gradOutput)
return self.gradInput
end
function SpatialAdaptiveMaxPooling:empty()
self.gradInput:resize()
self.gradInput:storage():resize(0)
self.output:resize()
self.output:storage():resize(0)
self.indices:resize()
self.indices:storage():resize(0)
end
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