Merge pull request torch#622 from torch/mulfix

fix for nn.Mul for cuda defaults

Mul.lua

@@ -2,37 +2,37 @@ local Mul, parent = torch.class('nn.Mul', 'nn.Module')
 
 function Mul:__init()
    parent.__init(self)
-  
+
    self.weight = torch.Tensor(1)
    self.gradWeight = torch.Tensor(1)
-   
+
    self:reset()
 end
 
- 
+
 function Mul:reset(stdv)
    if stdv then
       stdv = stdv * math.sqrt(3)
    else
       stdv = 1./math.sqrt(self.weight:size(1))
    end
 
-   self.weight[1] = torch.uniform(-stdv, stdv);
+   self.weight:uniform(-stdv, stdv);
 end
 
 function Mul:updateOutput(input)
    self.output:resizeAs(input):copy(input);
    self.output:mul(self.weight[1]);
-   return self.output 
+   return self.output
 end
 
-function Mul:updateGradInput(input, gradOutput) 
+function Mul:updateGradInput(input, gradOutput)
    self.gradInput:resizeAs(input):zero()
    self.gradInput:add(self.weight[1], gradOutput)
    return self.gradInput
 end
 
-function Mul:accGradParameters(input, gradOutput, scale) 
+function Mul:accGradParameters(input, gradOutput, scale)
    scale = scale or 1
    self.gradWeight[1] = self.gradWeight[1] + scale*input:dot(gradOutput);
 end