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local Square, parent = torch.class('nn.Square','nn.Module')
function Square:__init(args)
parent.__init(self)
if args then
error(xlua.usage('nn.Square',
'a simple component-wise mapping: square()',
'sq = nn.Square()\n'..
'squared = sq:forward(sometensor)',
{type='nil', help='no arg required'}))
end
end
function Square:forward(input)
self.output:resizeAs(input):copy(input)
self.output:cmul(input)
return self.output
end
function Square:backward(input, gradOutput)
self.gradInput:resizeAs(input):copy(gradOutput)
self.gradInput:cmul(input):mul(2)
return self.gradInput
end
function Square:write(file)
parent.write(self,file)
end
function Square:read(file)
parent.read(self,file)
end
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