1 files changed, 13 insertions, 13 deletions

diff --git a/generic/SpatialConvolution.c b/generic/SpatialConvolution.c
index 49ccc8d..bfe5698 100644
--- a/generic/SpatialConvolution.c
+++ b/generic/SpatialConvolution.c
@@ -4,13 +4,13 @@
 
 static int nn_(SpatialConvolution_updateOutput)(lua_State *L)
 {
-  THTensor *input = luaT_checkudata(L, 2, torch_(Tensor_id));
+  THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
   int dW = luaT_getfieldcheckint(L, 1, "dW");
   int dH = luaT_getfieldcheckint(L, 1, "dH");
 
-  THTensor *weight = luaT_getfieldcheckudata(L, 1, "weight", torch_(Tensor_id));
-  THTensor *bias = luaT_getfieldcheckudata(L, 1, "bias", torch_(Tensor_id));
-  THTensor *output = luaT_getfieldcheckudata(L, 1, "output", torch_(Tensor_id));
+  THTensor *weight = luaT_getfieldcheckudata(L, 1, "weight", torch_Tensor);
+  THTensor *bias = luaT_getfieldcheckudata(L, 1, "bias", torch_Tensor);
+  THTensor *output = luaT_getfieldcheckudata(L, 1, "output", torch_Tensor);
 
   luaL_argcheck(L, input->nDimension == 3 || input->nDimension == 4, 2, "3D or 4D(batch mode) tensor expected");
 
@@ -83,14 +83,14 @@ static int nn_(SpatialConvolution_updateOutput)(lua_State *L)
 
 static int nn_(SpatialConvolution_updateGradInput)(lua_State *L)
 {
-  THTensor *input = luaT_checkudata(L, 2, torch_(Tensor_id));
-  THTensor *gradOutput = luaT_checkudata(L, 3, torch_(Tensor_id));
+  THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
+  THTensor *gradOutput = luaT_checkudata(L, 3, torch_Tensor);
   int dW = luaT_getfieldcheckint(L, 1, "dW");
   int dH = luaT_getfieldcheckint(L, 1, "dH");
   int nOutputPlane = luaT_getfieldcheckint(L, 1, "nOutputPlane");
 
-  THTensor *weight = luaT_getfieldcheckudata(L, 1, "weight", torch_(Tensor_id));
-  THTensor *gradInput = luaT_getfieldcheckudata(L, 1, "gradInput", torch_(Tensor_id));
+  THTensor *weight = luaT_getfieldcheckudata(L, 1, "weight", torch_Tensor);
+  THTensor *gradInput = luaT_getfieldcheckudata(L, 1, "gradInput", torch_Tensor);
 
   THArgCheck( nOutputPlane == gradOutput->size[input->nDimension == 4 ? 1 : 0], 1, "Number of output features is not equal to nOutputPlane" );
 
@@ -112,15 +112,15 @@ static int nn_(SpatialConvolution_updateGradInput)(lua_State *L)
 
 static int nn_(SpatialConvolution_accGradParameters)(lua_State *L)
 {
-  THTensor *input = luaT_checkudata(L, 2, torch_(Tensor_id));
-  THTensor *gradOutput = luaT_checkudata(L, 3, torch_(Tensor_id));
+  THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
+  THTensor *gradOutput = luaT_checkudata(L, 3, torch_Tensor);
   real scale = luaL_optnumber(L, 4, 1);
   int dW = luaT_getfieldcheckint(L, 1, "dW");
   int dH = luaT_getfieldcheckint(L, 1, "dH");
   int nOutputPlane = luaT_getfieldcheckint(L, 1, "nOutputPlane");
 
-  THTensor *gradWeight = luaT_getfieldcheckudata(L, 1, "gradWeight", torch_(Tensor_id));
-  THTensor *gradBias = luaT_getfieldcheckudata(L, 1, "gradBias", torch_(Tensor_id));
+  THTensor *gradWeight = luaT_getfieldcheckudata(L, 1, "gradWeight", torch_Tensor);
+  THTensor *gradBias = luaT_getfieldcheckudata(L, 1, "gradBias", torch_Tensor);
 
   THArgCheck( nOutputPlane == gradOutput->size[input->nDimension == 4 ? 1 : 0], 1, "Number of output features is not equal to nOutputPlane" );
 
@@ -186,7 +186,7 @@ static const struct luaL_Reg nn_(SpatialConvolution__) [] = {
 
 static void nn_(SpatialConvolution_init)(lua_State *L)
 {
-  luaT_pushmetaclass(L, torch_(Tensor_id));
+  luaT_pushmetatable(L, torch_Tensor);
   luaT_registeratname(L, nn_(SpatialConvolution__), "nn");
   lua_pop(L,1);
 }