moved ZeroGrad to nnx

2 files changed, 0 insertions, 34 deletions

diff --git a/ZeroGrad.lua b/ZeroGrad.lua
deleted file mode 100644
index 446b25d..0000000
--- a/ZeroGrad.lua
+++ /dev/null
@@ -1,33 +0,0 @@
-local ZeroGrad, parent
-if nn.ZeroGrad then -- prevent name conflicts with rnn
-   ZeroGrad, parent = nn.ZeroGrad, nn.Module
-else
-   ZeroGrad, parent = torch.class('nn.ZeroGrad', 'nn.Module')
-end
-
-local function recursiveZero(t1,t2)
-   if torch.type(t2) == 'table' then
-      t1 = (torch.type(t1) == 'table') and t1 or {t1}
-      for key,_ in pairs(t2) do
-         t1[key], t2[key] = recursiveZero(t1[key], t2[key])
-      end
-   elseif torch.isTensor(t2) then
-      t1 = t1 or t2.new()
-      t1:resizeAs(t2):zero()
-   else
-      error("expecting nested tensors or tables. Got "..
-            torch.type(t1).." and "..torch.type(t2).." instead")
-   end
-   return t1, t2
-end
-
-function ZeroGrad:updateOutput(input)
-   self.output:set(input)
-   return self.output
-end
-
--- the gradient is simply zeroed.
--- useful when you don't want to backpropgate through certain paths.
-function ZeroGrad:updateGradInput(input, gradOutput)
-   self.gradInput = recursiveZero(self.gradInput, gradOutput)
-end
diff --git a/init.lua b/init.lua
index c04d909..69f2c83 100644
--- a/init.lua
+++ b/init.lua
@@ -75,7 +75,6 @@ require('nnx.MultiSoftMax')
 require('nnx.Balance')
 require('nnx.PushTable')
 require('nnx.PullTable')
-require('nnx.ZeroGrad')
 require('nnx.QDRiemaNNLinear')
 
 -- criterions: