1 files changed, 53 insertions, 0 deletions
diff --git a/SpatialFullConvolution.lua b/SpatialFullConvolution.lua
new file mode 100644
index 0000000..96517ab
--- /dev/null
+++ b/SpatialFullConvolution.lua
@@ -0,0 +1,53 @@
+local SpatialFullConvolution, parent = torch.class('nn.SpatialFullConvolution','nn.Module')
+
+function SpatialFullConvolution:__init(nInputPlane, nOutputPlane, kW, kH, dW, dH)
+   parent.__init(self)
+
+   dW = dW or 1
+   dH = dH or 1
+
+   self.nInputPlane = nInputPlane
+   self.nOutputPlane = nOutputPlane
+   self.kW = kW
+   self.kH = kH
+   self.dW = dW
+   self.dH = dH
+
+   self.weight = torch.Tensor(nInputPlane, nOutputPlane, kH, kW)
+   self.gradWeight = torch.Tensor(nInputPlane, nOutputPlane, kH, kW)
+   self.bias = torch.Tensor(self.nOutputPlane)
+   self.gradBias = torch.Tensor(self.nOutputPlane)
+
+   self:reset()
+end
+
+function SpatialFullConvolution:reset(stdv)
+   if stdv then
+      stdv = stdv * math.sqrt(3)
+   else
+      local nInputPlane = self.nInputPlane
+      local kH = self.kH
+      local kW = self.kW
+      stdv = 1/math.sqrt(kW*kH*nInputPlane)
+   end
+   self.weight:apply(function()
+                        return torch.uniform(-stdv, stdv)
+                     end)
+   self.bias:apply(function()
+                        return torch.uniform(-stdv, stdv)
+                     end)
+end
+
+function SpatialFullConvolution:updateOutput(input)
+   return input.nn.SpatialFullConvolution_updateOutput(self, input)
+end
+
+function SpatialFullConvolution:updateGradInput(input, gradOutput)
+   if self.gradInput then
+      return input.nn.SpatialFullConvolution_updateGradInput(self, input, gradOutput)
+   end
+end
+function SpatialFullConvolution:accGradParameters(input, gradOutput, scale)
+   return input.nn.SpatialFullConvolution_accGradParameters(self, input, gradOutput, scale)
+end
+