Apply the given function to all elements of self, tensor1 and tensor2. The number of elements of all tensors must match, but sizes do not matter.

The function takes three numbers (the current element of self, tensor1 and tensor2) and might return a number, in which case it will be stored in self.

Example: 

> x = torch.Tensor(3,3)
> y = torch.Tensor(9)
> z = torch.Tensor(3,3)
> 
> i = 0; x:apply(function() i = i + 1; return math.cos(i)*math.cos(i) end)
> i = 0; y:apply(function() i = i + 1; return i end)
> i = 0; z:apply(function() i = i + 1; return i end)
> 
> print(x)

 0.2919  0.4272  0.5684
 0.1732  0.0805  0.0212
 0.9801  0.9219  0.8302
[torch.Tensor of dimension 3x3]

> print(y)

 1
 2
 3
 4
 5
 6
 7
 8
 9
[torch.Tensor of dimension 9]

> print(z)

 1  4  7
 2  5  8
 3  6  9
[torch.Tensor of dimension 3x3]

> 
> x:map2(y, z, function(xx, yy, zz) return xx+yy*zz end)
> 
> print(x)

  1.2919  16.4272  49.5684
  4.1732  25.0805  64.0212
  9.9801  36.9219  81.8302
[torch.Tensor of dimension 3x3]