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local Mean, parent = torch.class('nn.Mean', 'nn.Module')
function Mean:__init(dimension)
parent.__init(self)
dimension = dimension or 1
self.dimension = dimension
end
function Mean:updateOutput(input)
input.torch.mean(self.output, input, self.dimension)
self.output = self.output:select(self.dimension, 1)
return self.output
end
function Mean:updateGradInput(input, gradOutput)
local size = gradOutput:size():totable()
local stride = gradOutput:stride():totable()
table.insert(size, self.dimension, input:size(self.dimension))
table.insert(stride, self.dimension, 0)
self.gradInput:resizeAs(gradOutput):copy(gradOutput)
self.gradInput:mul(1/input:size(self.dimension))
self.gradInput:resize(torch.LongStorage(size), torch.LongStorage(stride))
return self.gradInput
end
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